01.03.2013 Views

(L.) C. Jeffrey from India using internal transcribed - Academic ...

(L.) C. Jeffrey from India using internal transcribed - Academic ...

(L.) C. Jeffrey from India using internal transcribed - Academic ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

African Journal of<br />

Biotechnology<br />

Volume10 Number 72 16 November, 2011<br />

ISSN 1684-5315


ABOUT AJB<br />

The African Journal of Biotechnology (AJB) is published bi-weekly (one volume per year) by <strong>Academic</strong><br />

Journals.<br />

African Journal of Biotechnology (AJB) a new broad-based journal, is an open access journal that was founded<br />

on two key tenets: To publish the most exciting research in all areas of applied biochemistry, industrial<br />

microbiology, molecular biology, genomics and proteomics, food and agricultural technologies, and metabolic<br />

engineering. Secondly, to provide the most rapid turn-around time possible for reviewing and publishing, and<br />

to disseminate the articles freely for teaching and reference purposes. All articles published in AJB are peerreviewed.<br />

Submission of Manuscript<br />

Submit manuscripts as e-mail attachment to the Editorial Office at: ajb@acadjournals.org. A manuscript<br />

number will be mailed to the corresponding author shortly after submission.<br />

The African Journal of Biotechnology will only accept manuscripts submitted as e-mail attachments.<br />

Please read the Instructions for Authors before submitting your manuscript. The manuscript files should be<br />

given the last name of the first author.


Editors<br />

George Nkem Ude, Ph.D<br />

Plant Breeder & Molecular Biologist<br />

Department of Natural Sciences<br />

Crawford Building, Rm 003A<br />

Bowie State University<br />

14000 Jericho Park Road<br />

Bowie, MD 20715, USA<br />

N. John Tonukari, Ph.D<br />

Department of Biochemistry<br />

Delta State University<br />

PMB 1<br />

Abraka, Nigeria<br />

Prof. Dr. AE Aboulata<br />

Plant Path. Res. Inst., ARC, POBox 12619, Giza,<br />

Egypt<br />

30 D, El-Karama St., Alf Maskan, P.O. Box 1567,<br />

Ain Shams, Cairo,<br />

Egypt<br />

Dr. S.K Das<br />

Department of Applied Chemistry<br />

and Biotechnology, University of Fukui,<br />

Japan<br />

Prof. Okoh, A. I<br />

Applied and Environmental Microbiology Research<br />

Group (AEMREG),<br />

Department of Biochemistry and Microbiology,<br />

University of Fort Hare.<br />

P/Bag X1314 Alice 5700,<br />

South Africa<br />

Dr. Ismail TURKOGLU<br />

Department of Biology Education,<br />

Education Faculty, Fırat University,<br />

Elazığ,<br />

Turkey<br />

Prof T.K.Raja, PhD FRSC (UK)<br />

Department of Biotechnology<br />

PSG COLLEGE OF TECHNOLOGY (Autonomous)<br />

(Affiliated to Anna University)<br />

Coimbatore-641004, Tamilnadu,<br />

INDIA.<br />

Dr. George Edward Mamati<br />

Horticulture Department,<br />

Jomo Kenyatta University of Agriculture<br />

and Technology,<br />

P. O. Box 62000-00200,<br />

Nairobi, Kenya.<br />

Dr Helal Ragab Moussa<br />

Bahnay, Al-bagour, Menoufia,<br />

Egypt.<br />

Dr VIPUL GOHEL<br />

Flat No. 403, Alankar Apartment, Sector 56, Gurgaon-<br />

122 002,<br />

<strong>India</strong>.<br />

Dr. Sang-Han Lee<br />

Department of Food Science & Biotechnology,<br />

Kyungpook National University<br />

Daegu 702-701,<br />

Korea.<br />

Dr. Bhaskar Dutta<br />

DoD Biotechnology High Performance Computing<br />

Software Applications<br />

Institute (BHSAI)<br />

U.S. Army Medical Research and Materiel Command<br />

2405 Whittier Drive<br />

Frederick, MD 21702<br />

Dr. Muhammad Akram<br />

Faculty of Eastern Medicine and Surgery,<br />

Hamdard Al-Majeed College of Eastern Medicine,<br />

Hamdard University,<br />

Karachi.<br />

Dr. M.MURUGANANDAM<br />

Departtment of Biotechnology<br />

St. Michael College of Engineering & Technology,<br />

Kalayarkoil,<br />

<strong>India</strong>.<br />

Dr. Gökhan Aydin<br />

Suleyman Demirel University,<br />

Atabey Vocational School,<br />

Isparta-Türkiye,<br />

Dr. Rajib Roychowdhury<br />

Centre for Biotechnology (CBT),<br />

Visva Bharati,<br />

West-Bengal,<br />

<strong>India</strong>.<br />

Dr.YU JUNG KIM<br />

Department of Chemistry and Biochemistry<br />

California State University, San Bernardino<br />

5500 University Parkway<br />

San Bernardino, CA 92407


Editorial Board<br />

Dr. Takuji Ohyama<br />

Faculty of Agriculture, Niigata University<br />

Dr. Mehdi Vasfi Marandi<br />

University of Tehran<br />

Dr. FÜgen DURLU-ÖZKAYA<br />

Gazi Üniversity, Tourism Faculty, Dept. of<br />

Gastronomy and Culinary Art<br />

Dr. Reza Yari<br />

Islamic Azad University, Boroujerd Branch<br />

Dr. Zahra Tahmasebi Fard<br />

Roudehen branche, Islamic Azad University<br />

Dr. Tarnawski Sonia<br />

University of Neuchâtel – Laboratory of<br />

Microbiology<br />

Dr. Albert Magrí<br />

Giro Technological Centre<br />

Dr. Ping ZHENG<br />

Zhejiang University, Hangzhou,<br />

China.<br />

Prof. Pilar Morata<br />

University of Malaga<br />

Dr. Greg Spear<br />

Rush University Medical Center<br />

Dr. Mousavi Khaneghah<br />

College of Applied Science and<br />

Technology-Applied Food Science, Tehran,<br />

Iran.<br />

Prof. Pavel KALAC<br />

University of South Bohemia,<br />

Czech Republic.<br />

Dr. Kürsat KORKMAZ<br />

Ordu University, Faculty of Agriculture,<br />

Department of Soil Science and Plant nutrition<br />

Dr. Tugay AYAŞAN<br />

Çukurova Agricultural Research Institute, PK:01321,<br />

ADANA-TURKEY.<br />

Dr. Shuyang Yu<br />

Asistant research scientist, Department of<br />

Microbiology, University of Iowa<br />

Address: 51 newton road, 3-730B BSB<br />

bldg.Tel:+319-335-7982, Iowa City, IA, 52246,<br />

USA.<br />

Dr. Binxing Li<br />

E-mail: Binxing.Li@hsc.utah.edu<br />

Dr Hsiu-Chi Cheng<br />

National Cheng Kung University and Hospital.<br />

Dr. Kgomotso P. Sibeko<br />

University of Pretoria,<br />

South Africa.<br />

Dr. Jian Wu<br />

Harbin medical university ,<br />

China.


Electronic submission of manuscripts is strongly<br />

encouraged, provided that the text, tables, and figures are<br />

included in a single Microsoft Word file (preferably in Arial<br />

font).<br />

The cover letter should include the corresponding author's<br />

full address and telephone/fax numbers and should be in<br />

an e-mail message sent to the Editor, with the file, whose<br />

name should begin with the first author's surname, as an<br />

attachment.<br />

Article Types<br />

Three types of manuscripts may be submitted:<br />

Regular articles: These should describe new and carefully<br />

confirmed findings, and experimental procedures should<br />

be given in sufficient detail for others to verify the work.<br />

The length of a full paper should be the minimum required<br />

to describe and interpret the work clearly.<br />

Short Communications: A Short Communication is suitable<br />

for recording the results of complete small investigations<br />

or giving details of new models or hypotheses, innovative<br />

methods, techniques or apparatus. The style of main<br />

sections need not conform to that of full-length papers.<br />

Short communications are 2 to 4 printed pages (about 6 to<br />

12 manuscript pages) in length.<br />

Minireview: Submissions of mini-reviews and perspectives<br />

covering topics of current interest are welcome and<br />

encouraged. Mini-reviews should be concise and no longer<br />

than 4-6 printed pages (about 12 to 18 manuscript pages).<br />

Mini-reviews are also peer-reviewed.<br />

Review Process<br />

Instructions for Author<br />

All manuscripts are reviewed by an editor and members of<br />

the Editorial Board or qualified outside reviewers. Authors<br />

cannot nominate reviewers. Only reviewers randomly<br />

selected <strong>from</strong> our database with specialization in the<br />

subject area will be contacted to evaluate the manuscripts.<br />

The process will be blind review.<br />

Decisions will be made as rapidly as possible, and the<br />

journal strives to return reviewers’ comments to authors as<br />

fast as possible. The editorial board will re-review<br />

manuscripts that are accepted pending revision. It is the<br />

goal of the AJB to publish manuscripts within weeks after<br />

submission.<br />

Regular articles<br />

All portions of the manuscript must be typed doublespaced<br />

and all pages numbered starting <strong>from</strong> the title<br />

page.<br />

The Title should be a brief phrase describing the<br />

contents of the paper. The Title Page should include the<br />

authors' full names and affiliations, the name of the<br />

corresponding author along with phone, fax and E-mail<br />

information. Present addresses of authors should<br />

appear as a footnote.<br />

The Abstract should be informative and completely selfexplanatory,<br />

briefly present the topic, state the scope of<br />

the experiments, indicate significant data, and point out<br />

major findings and conclusions. The Abstract should be<br />

100 to 200 words in length.. Complete sentences, active<br />

verbs, and the third person should be used, and the<br />

abstract should be written in the past tense. Standard<br />

nomenclature should be used and abbreviations should<br />

be avoided. No literature should be cited.<br />

Following the abstract, about 3 to 10 key words that will<br />

provide indexing references should be listed.<br />

A list of non-standard Abbreviations should be added.<br />

In general, non-standard abbreviations should be used<br />

only when the full term is very long and used often.<br />

Each abbreviation should be spelled out and introduced<br />

in parentheses the first time it is used in the text. Only<br />

recommended SI units should be used. Authors should<br />

use the solidus presentation (mg/ml). Standard<br />

abbreviations (such as ATP and DNA) need not be<br />

defined.<br />

The Introduction should provide a clear statement of<br />

the problem, the relevant literature on the subject, and<br />

the proposed approach or solution. It should be<br />

understandable to colleagues <strong>from</strong> a broad range of<br />

scientific disciplines.<br />

Materials and methods should be complete enough<br />

to allow experiments to be reproduced. However, only<br />

truly new procedures should be described in detail;<br />

previously published procedures should be cited, and<br />

important modifications of published procedures should<br />

be mentioned briefly. Capitalize trade names and<br />

include the manufacturer's name and address.<br />

Subheadings should be used. Methods in general use<br />

need not be described in detail.


Results should be presented with clarity and precision.<br />

The results should be written in the past tense when<br />

describing findings in the authors' experiments.<br />

Previously published findings should be written in the<br />

present tense. Results should be explained, but largely<br />

without referring to the literature. Discussion,<br />

speculation and detailed interpretation of data should<br />

not be included in the Results but should be put into the<br />

Discussion section.<br />

The Discussion should interpret the findings in view of<br />

the results obtained in this and in past studies on this<br />

topic. State the conclusions in a few sentences at the end<br />

of the paper. The Results and Discussion sections can<br />

include subheadings, and when appropriate, both<br />

sections can be combined.<br />

The Acknowledgments of people, grants, funds, etc<br />

should be brief.<br />

Tables should be kept to a minimum and be designed to<br />

be as simple as possible. Tables are to be typed doublespaced<br />

throughout, including headings and footnotes.<br />

Each table should be on a separate page, numbered<br />

consecutively in Arabic numerals and supplied with a<br />

heading and a legend. Tables should be self-explanatory<br />

without reference to the text. The details of the methods<br />

used in the experiments should preferably be described<br />

in the legend instead of in the text. The same data should<br />

not be presented in both table and graph form or<br />

repeated in the text.<br />

Figure legends should be typed in numerical order on a<br />

separate sheet. Graphics should be prepared <strong>using</strong><br />

applications capable of generating high resolution GIF,<br />

TIFF, JPEG or Powerpoint before pasting in the Microsoft<br />

Word manuscript file. Tables should be prepared in<br />

Microsoft Word. Use Arabic numerals to designate<br />

figures and upper case letters for their parts (Figure 1).<br />

Begin each legend with a title and include sufficient<br />

description so that the figure is understandable without<br />

reading the text of the manuscript. Information given in<br />

legends should not be repeated in the text.<br />

References: In the text, a reference identified by means<br />

of an author‘s name should be followed by the date of<br />

the reference in parentheses. When there are more than<br />

two authors, only the first author‘s name should be<br />

mentioned, followed by ’et al‘. In the event that an<br />

author cited has had two or more works published during<br />

the same year, the reference, both in the text and in the<br />

reference list, should be identified by a lower case letter<br />

like ’a‘ and ’b‘ after the date to distinguish the works.<br />

Examples:<br />

Smith (2000), Blake et al. (2003), (Kelebeni, 1983),<br />

(Chandra and Singh,1992),(Chege, 1998; Steddy, 1987a,b;<br />

Gold, 1993,1995), (Kumasi et al., 2001)<br />

References should be listed at the end of the paper in<br />

alphabetical order. Articles in preparation or articles<br />

submitted for publication, unpublished observations,<br />

personal communications, etc. should not be included<br />

in the reference list but should only be mentioned in<br />

the article text (e.g., A. Kingori, University of Nairobi,<br />

Kenya, personal communication). Journal names are<br />

abbreviated according to Chemical Abstracts. Authors<br />

are fully responsible for the accuracy of the references.<br />

Examples:<br />

Diaz E, Prieto MA (2000). Bacterial promoters triggering<br />

biodegradation of aromatic pollutants. Curr. Opin.<br />

Biotech. 11: 467-475.<br />

Dorn E, Knackmuss HJ (1978). Chemical structure and<br />

biodegradability of halogenated aromatic compounds.<br />

Two catechol 1, 2 dioxygenases <strong>from</strong> a 3chlorobenzoate-grown<br />

Pseudomonad. Biochem. J. 174:<br />

73-84.<br />

Pitter P, Chudoba J (1990). Biodegradability of Organic<br />

Substances in<br />

the Aquatic Environment. CRC press, Boca Raton,<br />

Florida, USA.<br />

Alexander M (1965). Biodegradation: Problems of<br />

Molecular Recalcitrance<br />

and Microbial Fallibility. Adv. Appl. Microbiol. 7: 35-80.<br />

Boder ET, Wittrup KD (1997). Yeast surface display for<br />

screening combinatorial polypeptide libraries. Nat.<br />

Biotechnol. 15: 537-553.<br />

Short Communications<br />

Short Communications are limited to a maximum of<br />

two figures and one table. They should present a<br />

complete study that is more limited in scope than is<br />

found in full-length papers. The items of manuscript<br />

preparation listed above apply to Short<br />

Communications with the following differences: (1)<br />

Abstracts are limited to 100 words; (2) instead of a<br />

separate Materials and Methods section, experimental<br />

procedures may be incorporated into Figure Legends<br />

and Table footnotes; (3) Results and Discussion should<br />

be combined into a single section.<br />

Proofs and Reprints: Electronic proofs will be sent (email<br />

attachment) to the corresponding author as a PDF<br />

file. Page proofs are considered to be the final version<br />

of the manuscript. With the exception of typographical<br />

or minor clerical errors, no changes will be made in the<br />

manuscript at the proof stage.


Fees and Charges: Authors are required to pay a $650 handling fee. Publication of an article in the African Journal of<br />

Biotechnology is not contingent upon the author's ability to pay the charges. Neither is acceptance to pay the<br />

handling fee a guarantee that the paper will be accepted for publication. Authors may still request (in advance) that<br />

the editorial office waive some of the handling fee under special circumstances.<br />

Copyright: © 2012, <strong>Academic</strong> Journals.<br />

All rights Reserved. In accessing this journal, you agree that you will access the contents for your own personal use<br />

but not for any commercial use. Any use and or copies of this Journal in whole or in part must include the customary<br />

bibliographic citation, including author attribution, date and article title.<br />

Submission of a manuscript implies: that the work described has not been published before (except in the form of an<br />

abstract or as part of a published lecture, or thesis) that it is not under consideration for publication elsewhere; that if<br />

and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the<br />

publisher.<br />

Disclaimer of Warranties<br />

In no event shall <strong>Academic</strong> Journals be liable for any special, incidental, indirect, or consequential damages of any<br />

kind arising out of or in connection with the use of the articles or other material derived <strong>from</strong> the AJB, whether or not<br />

advised of the possibility of damage, and on any theory of liability.<br />

This publication is provided "as is" without warranty of any kind, either expressed or implied, including, but not<br />

limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.<br />

Descriptions of, or references to, products or publications does not imply endorsement of that product or publication.<br />

While every effort is made by <strong>Academic</strong> Journals to see that no inaccurate or misleading data, opinion or statements<br />

appear in this publication, they wish to make it clear that the data and opinions appearing in the articles and<br />

advertisements herein are the responsibility of the contributor or advertiser concerned. <strong>Academic</strong> Journals makes no<br />

warranty of any kind, either express or implied, regarding the quality, accuracy, availability, or validity of the data or<br />

information in this publication or of any other publication to which it may be linked.


.<br />

African Journal of Biotechnology<br />

Table of Contents: Volume 10 Number 72 16 November, 2011<br />

International Journal of Medicine and Medical Sciences<br />

Review<br />

ences<br />

ARTICLES<br />

Establishing a biotech-agriculture for China 16113<br />

Zhang Zhengbin, Duan Ziyuan, Shao Hongbo, Chen Peng and Xu Ping<br />

Food processing optimization <strong>using</strong> evolutionary algorithms 16120<br />

Abimbola M Enitan and Josiah Adeyemo<br />

Research Articles<br />

GENETICS AND MOLECULAR BIOLOGY<br />

Maize defensin ZmDEF1 is involved in plant response to fungal<br />

phytopathogens 16128<br />

Baosheng Wang, Jingjuan Yu, Dengyun Zhu and Qian Zhao<br />

Karyotype studies on Tagetes erecta L. and Tagetes patula L. 16138<br />

Pin Zhang, Li Zeng, Yan-Xue Su, Xiao-Wen Gong and Xiao-Sha Wang<br />

Genetic diversity assessment of Diplocyclos palmatus (L.) C. <strong>Jeffrey</strong><br />

<strong>from</strong> <strong>India</strong> <strong>using</strong> <strong>internal</strong> <strong>transcribed</strong> spacer (ITS) sequences of<br />

nuclear ribosomal DNA 16145<br />

M. Ajmal Ali, Fahad M. A. Al-Hemaid1, Joongku Lee, R. K. Choudhary,<br />

Naif A. Al-Harbi and Soo-Yong Kim<br />

Regeneration of plantlets under NaCl stress <strong>from</strong> NaN3 treated<br />

sugarcane explants 16152<br />

Ikram-ul-Haq, Salma Memon, Nazia Parveen Gill and Muhammad<br />

Tahir Rajput


Table of Contents: Volume 10 Number 72 16 November, 2011<br />

ences<br />

PLANT AND AGRICULTURAL TECHNOLOGY<br />

ARTICLES<br />

Proteomic and transcriptomic analysis reveals evidence for the basis of<br />

salt sensitivity in Thai jasmine rice (Oryza sativa L. cv. KDML 105) 16157<br />

Wichuda Jankangram, Sompong Thammasirirak, Meriel G. Jones, James<br />

Hartwell and Piyada Theerakulpisut<br />

Genetic diversity and relationship analysis among accessions of<br />

Aegilops ssp. in Turkey <strong>using</strong> amplified fragment length<br />

polymorphism (AFLP) markers 16167<br />

Ilhan Kaya, Asude Çallak Kirişözü, Figen Yildirim Ersoy, Şahin Dere<br />

and Mahinur S. Akkaya<br />

Determination of total polyphenol content and antityrosinase capacity of<br />

mulberrymedicine (Morusnigra L.) extract 16175<br />

Wu Chun, Xu Li, Wang Yuancheng, Chen Hu and Huang Xianzhi.<br />

Somatic embryogenesis and bulblet regeneration in snakehead<br />

fritillary (Fritillaria meleagris L.) 16181<br />

Petrid Marija, Subotid Angelina, Jevremovid Slađana and Trifunovid<br />

Milana<br />

Meiotic behavior and pollen fertility of five species in the genusEpimedium) 16189<br />

Yu Jiang, Chunbang Ding, Haixia Yue and Ruiwu Yang<br />

ENVIRONMENTAL BIOTECHNOLOGY<br />

In vitro antifungal activity of 63 Iranian plant species against three<br />

different plant pathogenic fungi 16193<br />

Sohbat Bahraminejad, Saeed Abbasi and Mehdi Fazlali


Table of Contents: Volume 10 Number 72 16 November, 2011<br />

ences<br />

ARTICLES<br />

Effects of different photoperiods and concentrations of phosphate on<br />

the growth of the cyanobacterium Cylindrospermopsis raciborskii<br />

(Woloszynska) 16202<br />

Sabahi asl Mitra, Nejatkhah Parisa, Ramezanpour Zohreh, Heidary Negin<br />

Uptake of cadmium <strong>from</strong> hydroponic solutions by willows (Salix spp.)<br />

seedlings 16209<br />

Yongqing Liu, Guang-Cai Chen, Jianfeng Zhang, Xiang Shi and Renmin<br />

Wang<br />

Relationship between abscisic acid (ABA) concentration and some<br />

Physiological traits in two wheat cultivars differing in post-anthesis<br />

drought-resistance 16219<br />

Saeed Saeedipour and Foad Moradi.<br />

Impacts of geo-physical factors and human disturbance on composition<br />

and diversity of roadside vegetation: A case study <strong>from</strong> Xishuangbanna<br />

National Nature Reserve of Southwest China 16228<br />

Dong Shikui, Li Jinpeng, Li Xiaoyan, Liu Shiliang, and Zhao Qinghe.<br />

Modeling spatial pattern of deforestation <strong>using</strong> GIS and logistic regression:<br />

A case study of northern Ilam forests, Ilam province, Iran 16236<br />

Saleh Arekhi<br />

Differential response to water deficit stress in alfalfa (Medicago<br />

sativa) cultivars: Growth, water relations, osmolyte accumulation<br />

and lipid peroxidation 16250<br />

Inès Slama, Selma Tayachi, Asma Jdey, Aida Rouached and Chedly<br />

Abdelly


Table of Contents: Volume 10 Number 72 16 November, 2011<br />

ences<br />

INDUSTRIAL MICROBIOLOGY<br />

ARTICLES<br />

Cloning and characterization of a thermostable 2-deoxy-D-ribose-5-phosphate<br />

aldolase <strong>from</strong> Aciduliprofundum boonei 16260<br />

Xiaopu Yin, Qiuyan Wang, Shu-juan Zhao, Peng-fei Du, Kai-lin Xie, Peng Jin and<br />

Tian Xie<br />

Isolation and characterization of a bacterial cellulose-producing bacterium<br />

derived <strong>from</strong> the persimmon vinegar 16267<br />

Young-Jung Wee, Soo-Yeon Kim, Soon-Do Yoon and Hwa-Won Ryu<br />

Purification and characterization of an endo-1,4-β-glucanase <strong>from</strong>Bacillus<br />

cereus 16277<br />

Hong Yan, Yingjie Dai, Ying Zhang, Lilong Yan and Dan Liu.<br />

APPLIED BIOCHEMISTRY<br />

Chemical composition of Hirsutella beakdumountainsis, a potential substitute<br />

for Cordyceps sinensis 16286<br />

Rong Li, Yu Zhao and Xiaolu Jiang<br />

Phenolic composition and antioxidant capacity of Cherry laurel (Laurocerasus<br />

officinalis Roem.) sampled <strong>from</strong> Trabzon region, Turkey 16293<br />

Fatma Yaylaci Karahalil and Hüseyin Şahin<br />

Exhaust emissions and combustion performances of ethylene glycol<br />

monomethyl ether palm oil monoester as a novel biodiesel 16300<br />

Da-Yong Jiang, Yun Bai and He-jun Guo<br />

Optimization of biodiesel production <strong>from</strong> rice bran oil via immobilized lipase<br />

catalysises 16314<br />

Ying Xia Li, Jian Wei Yang, Feng Li Hui, Wei Wei Fan and Ying Yang


Table of Contents: Volume 10 Number 72 16 November, 2011<br />

ences<br />

ARTICLES<br />

MEDICAL AND PHARMACEUTICAL BIOTECHNOLOGY<br />

Study on correlation between polymorphism of adiponectin receptor gene<br />

and essential hypertension of Xinjiang Uygur, Kazak and Han in China 16325<br />

Wang Zhong, Chen Shaoze, Wang Daowen, Wang Li, Zhai Zhihong, Duan<br />

Juncang, Zhang Wangqiang and Zhang Jingyu<br />

Mechanism of action of pefloxacin on surface morphology, DNA gyrase<br />

activity and dehydrogenase enzymes of Klebsiella aerogenes 16330<br />

Neeta N. Surve and Uttamkumar S. Bagde<br />

Cytotoxic constituents of Clausena excavata 16337<br />

N. W. Muhd Sharif, N. A. Mustahil, H. S. Mohd Noor, M. A.<br />

Sukari*, M. Rahmani, Y. H. Taufiq-Yap and G. C. L. Ee<br />

Antimicrobial activities of methanol and aqueous extracts of the stem<br />

of Bryophyllum pinnatum Kurz (Crassulaceae) 16342<br />

Nwadinigwe, Alfreda Ogochukwu<br />

Determining the relationship between the application of fixed appliances<br />

and periodontal conditions 16347<br />

Ahmad Sheibaninia, Mohammad Ali Saghiri, A. Showkatbakhsh, C. Sunitha,<br />

S. Sepasi, M. Mohamadi and N. Esfahanizadeh<br />

ENTOMOLOGY<br />

Use of pheromone-baited traps for monitoring Ips sexdentatus(Boerner)<br />

(Coleoptera: Curculionidae) in oriental spruce stands 16351<br />

Gonca Ece Ozcan, Mahmut Eroglu and Hazan Alkan Akinci


Table of Contents: Volume 10 Number 72 16 November, 2011<br />

ences<br />

ARTICLES<br />

Distributional record of oak gall wasp (Hymenoptera: Cynipidae) species’<br />

diversity in different regions of West-Azerbaijan, Iran 16361<br />

Abbas Hosseinzadeh<br />

Phosphine resistance in Rhyzopertha dominica (Fabricius) (Coleoptera:<br />

Bostrichidae) <strong>from</strong> different geographical populations in China 16367<br />

XuHong Song, PingPing Wang and HongYu Zhang<br />

Contribution to the knowledge of Gnaphosidae (Arachnida: Araneae) in Turkey 16374<br />

Adile Akpınar, Ismail Varol, Faruk Kutbay and Bilal Taşdemır<br />

PHARMACEUTICAL SCIENCES<br />

A new endophytic taxol- and baccatin III-producing fungus isolated <strong>from</strong> Taxus<br />

chinensis var. Mairei 16379<br />

Yechun Wang and Kexuan Tang<br />

ANIMAL SCIENCE<br />

Heart dysfunction and fibrosis in rat treated with myocardial ischemia and<br />

reperfusion 16387<br />

Cheng-Han Huang, Yi-Ming Huang, Yung-Sheng Tseng, Wei-Chi Lee, Jui-Te Wu,<br />

Zhi-Jia Zheng and Hsi-Tien Wu<br />

Cardiodepression as a possible mechanism of the hypotensive effects of the<br />

methylene chloride/methanol leaf extract of Brillantaisia nitensLindau<br />

(Acanthaceae) in rats 16393<br />

Orelien Sylvain Mtopi Bopda, Theophile Dimo, Ives Seukep Tonkep, Louis<br />

Zapfack, Desire Zeufiet Djomeni and Pierre Kamtchouing<br />

Influence of cross-breeding of native breed sows of Zlotnicka spotted with<br />

boars of Duroc and polish large white (PLW) breeds on the slaughter value<br />

fatteners 16402<br />

Karolina Szulc, Karol Borzuta, Dariusz Lisiak, Janusz T. Buczynski, Jerzy Strzelecki,<br />

Eugenia Grzeskowiak, Fabian Magda and Beata Lisiak


African Journal of Biotechnology Vol. 10(72), pp. 16113-16119, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2366<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Review<br />

Establishing a biotech-modern-agriculture for China<br />

Zhang Zhengbin 1 *, Duan Ziyuan 2 Shao Hongbo 3,4 *, Chen Peng 3,5 and Xu Ping 1<br />

1 Center for Agricultural Resource Research, Institute of Genetics and Developmental Biology of Chinese Academy of<br />

Sciences (CAS), Shijiazhuang 050021, China.<br />

2 Bureau of Biology and Biotechnology, Chinese Academy of Sciences (CAS), Beijing 100864, China.<br />

3 The CAS/Shandong Provincial Key Laboratory of Coastal Environmental Processes, Yantai Institute of Costal Zone<br />

Research, Chinese Academy of Sciences (CAS), Yantai 264003, China.<br />

4 Institute for Life Sciences, Qingdao University of Science &Technology (QUST), Qingdao 266042, China.<br />

5 Graduate University of Chinese Academy of Sciences(CAS), Beijing 100049, China.<br />

Accepted 28 September, 2011<br />

China, with a large population and small amount of arable land, is a populous as well as a large<br />

agricultural country. In order to ensure food security, agricultural sustainable development and<br />

prosperity of agriculture economy, modern agriculture based on biotechnology combined with modern<br />

equipment must be developed. Only in that way can we achieve intensive management and establish a<br />

resource efficiently-utilized and environment-friendly society. According to the developing history,<br />

experience of biotechnology and modern agriculture both at home and abroad, we suggest that<br />

establishing a biotech-modern agriculture country should become a national development goal of<br />

China.<br />

Key words: Biotechnology, modern agriculture, agricultural modernization, national development goal.<br />

INTRODUCTION<br />

In the 21 st century, six crises are proposed to be the main<br />

challenges for the agriculture in China: food security,<br />

water and soil resources, energy, environmental pollution,<br />

rapid population growth and health, and climate change<br />

crisis. The 21 st century is the century of biotechnology,<br />

the counter measures and key to solve these problems is<br />

the development of biotechnology (Zhang, 2006; Zhang<br />

and Duan, 2010; Zhang et al, 2010). To overcome food<br />

security crisis, biotechnology industry including farming,<br />

cultivation, microbial engineering and food processing<br />

industry are supposed to be developed (Zhang, 2006;<br />

Zhang and Duan, 2010; Zhang et al, 2010, Wu, 2010a,<br />

b). While to overcome water and soil resources crisis,<br />

technology and industry of efficient utilization of biological<br />

resources such as biological water saving should be<br />

developed (Zhang, 2006, 2008; Zhang and Duan, 2010;<br />

Wu, 2010a, b). Also, to overcome energy crisis, development<br />

of bioenergy agriculture and biochemical<br />

engineering should be encouraged, especially in the field<br />

*Corresponding author. E-mail: zzb@sjziam.ac.cn,<br />

shaohongbochu@126.com<br />

of biofuel production <strong>from</strong> non-food crops (Zhang and Xu,<br />

2007). Furthermore, to overcome environmental pollution<br />

crisis, we should vigorously develop organic agriculture,<br />

ecological agriculture, green agriculture, low carbon agriculture,<br />

sustainable agriculture and biological agriculture.<br />

Also, in order to reduce pollution sources and eliminate<br />

previous environmental pollution, the government should<br />

give strong support to the development of biological<br />

pesticide, biological fertilizer, biological plastics, biological<br />

treatment and biological engineering industry (Shao et<br />

al., 2010; Ruan et al., 2010). In addition, to overcome<br />

rapid population growth and health crisis, green<br />

agriculture and ecological agriculture are the key points.<br />

Also, biomedicine and plant protection technology, by<br />

which we can reduce the hazards of various kinds of<br />

drugs and pesticides, must be on the developing list.<br />

More healthy foods, nutrition foods and functional foods<br />

are supposed to be produced (Zhang and Wang, 2010;<br />

Zhang, 2011). While to overcome climate changing crisis,<br />

seed project, biological cloning, transgenic technology<br />

and molecular marker- assisted breeding are greatly<br />

helpful (Ruan et al., 2010; Wang et al., 2010; Zhang et al,<br />

2011). Development of urban agriculture (sightseeing<br />

agriculture), facility agriculture, factory farming as well as


16114 Afr. J. Biotechnol.<br />

modern precise agriculture must be accelerated and only<br />

in that way the dependence of agriculture on climate can<br />

be reduced. Our goal is to achieve what we called “the<br />

independent agriculture”.<br />

THE DEVELOPMENT OF MODERN AGRICULTURE<br />

The construction and development of modern agriculture<br />

should be a process closely related to biotechnology<br />

combined with equipment technology. Biotechnology is<br />

considered as the foundation and core of modern<br />

agriculture, while equipment technology as the wings.<br />

With the development of productivity, they underwent the<br />

following two interactive development processes:<br />

Development of biotechnology: natural<br />

agriculture→inorganic agriculture→organic<br />

agriculture→ecological agriculture→green<br />

agriculture→resource efficiently utilized<br />

agriculture→circular agriculture→low-carbon<br />

agriculture→biotech agriculture→sustainable agriculture.<br />

For the development of equipment: human powered<br />

(animal powered) agriculture→mechanized<br />

agriculture→electrified agriculture (information<br />

agriculture)→urban agriculture (sightseeing<br />

agriculture)→facility agriculture→factory<br />

agriculture→modern precise agriculture. The combination<br />

of the aforementioned technologies forms modern agriculture.<br />

The future trend would be sustainable agriculture<br />

in order to achieve harmonious development between<br />

human and nature, and ultimately the coexistence of<br />

human and the earth. From the perspective of modern<br />

agricultural developing history home and abroad, we will<br />

find that modern agriculture went through a developing<br />

period <strong>from</strong> agricultural modernization (agricultural<br />

mechanization, electrification, chemization and irrigation<br />

as main feature) to modern agriculture (agricultural informatization,<br />

biologicalization, and management modernization<br />

as main feature).<br />

There are many different modern agriculture modes as<br />

a result of different natural economic and social<br />

conditions. American economist Vernon Ruttan proved<br />

the following law with empirical data: countries with more<br />

than 30 hm 2 land per capita are basically mechanical<br />

technology-oriented; countries with 3~30 hm 2 land per<br />

capita basically take the road of staggered biotechnologymechanical<br />

way; Countries with less than 3 hm 2 land per<br />

capita mainly are biotechnology-oriented (Jin et al.,<br />

2009). As in China, land per capita is less than 0.1hm 2 ,<br />

hence there is need for biotechnology-oriented modern<br />

agriculture in order to improve resource utilization<br />

efficiency. China, as a populous as well as a large<br />

agricultural country, must be developed into a modern<br />

country with modern agriculture. The United States (US)<br />

as an example of the modern agriculture mode in<br />

developed countries, has its agriculture based on<br />

biotechnology, which is fast developing. As a typical<br />

representative, planting of genetically modified crops (GM<br />

crops) with excellent properties including herbicide<br />

resistance, disease and insect resistance and nutrition<br />

function improvement is developing at an amazing rate.<br />

At the same time, new methods of simplified cultivation<br />

such as conservation tillage, water saving irrigation<br />

(sprinkler irrigation, drip irrigation etc.), and large-scale<br />

mechanization management are adopted and then<br />

combined with information agriculture and precise<br />

agriculture (Zhang et al., 2010). These factors together<br />

constitute an economical and efficient high-tech modern<br />

agriculture mode. Therefore, the developed American<br />

modern agriculture mode is not simply a “mechanized<br />

modern agriculture mode” which is generally believed,<br />

but a modern agriculture mode which is based on<br />

advanced biotechnology. However, this biotechnology is<br />

integrated with mechanical technology and information<br />

technology.<br />

Furthermore, the US has become the largest biotech<br />

crops (including GM crops) planting country in the world.<br />

In 2008, the planting area of GM crops in the US reached<br />

62.5 million hectares, accounting for 50% of the global<br />

total. The American seed multinationals monopolize<br />

agriculture and biological economy in many countries.<br />

For instance, the seed business of two American<br />

agriculture-related companies, Monsanto and DuPont,<br />

respectively accounted for 23 and 15% of the<br />

international market (Han, 2010). In the 2009 World’s<br />

Best 40 Company List, Monsanto was ranked eighth for<br />

its contribution in the agricultural field. The priority<br />

“threshold” for the selected companies is that sales in<br />

2008 reached at least ten billion US dollars and at least a<br />

quarter of its revenue came <strong>from</strong> overseas markets.<br />

Monsanto is the world’s largest seed company, ranked<br />

number one in the field of vegetables and fruits, number<br />

two in utilization of field crops and number three in<br />

agricultural chemistry. It is also the world’s largest<br />

transgenic seed company, owning 90% of the global GM<br />

crops. We can see <strong>from</strong> relevant information that the US<br />

government, including the US Department of Agriculture<br />

and other important departments, has close contact with<br />

the commercial and economic activities of both Monsanto<br />

and DuPont. This is not just purely commercial behavior<br />

of companies, but national or even worldwide resource<br />

war, economic war and food war. The former US<br />

Secretary of State Henry Kissinger, claimed in 1970 that<br />

“If you control oil, you control all of the countries, if you<br />

control food, you control all human”. This tells the<br />

intentions and strategies of American leaders and the US<br />

government to control the world, illustrating the extreme<br />

importance of controlling food. Therefore we need to rely<br />

on agricultural biotechnology and advanced varieties.<br />

Chinese soybean industry is defeated by American<br />

transgenic soybean in a very short term. An even more<br />

shocking fact is that “Xianyu 335”, a corn variety <strong>from</strong><br />

American Pioneer company, has become the third-largest<br />

corn variety planted in China in just three year, and has


also became the first major cultivar in Northeast China.<br />

However, it is now difficult to buy for its high price. These<br />

two typical examples can fully explain the problem <strong>from</strong><br />

which a lesson can be learnt. According to the reports of<br />

China Daily, on September 17th 2010, the agricultural<br />

trade office established by the US Department of<br />

Agriculture in the Northeastern center city Shenyang held<br />

its opening ceremony; it is the fifth office they set up in<br />

China after Beijing, Shanghai, Guangzhou and Chengdu.<br />

Until then, the strategic layout of US agricultural products<br />

has entered the core of China’s granary. Northeast China<br />

is the main producing area of soybean, corn and japonica<br />

rice, also one of the largest granaries. The establishment<br />

will no doubt strengthen their attempts to occupy Chinese<br />

agricultural market. Vice Minister of the US Department of<br />

Agriculture Jim Miller who was on his special trip for this<br />

ceremony did not hide their ambition to northeast China.<br />

He said: “Setting up the fifth trade office in Chinese<br />

mainland shows that US Department of Agriculture<br />

expanded to the center of Northeast China. As one world<br />

trade center of China, Shenyang will provide ample<br />

opportunity for US agricultural exports”. The US has<br />

started to gain a dominant position in the grain and seed<br />

market by virtue of its absolute technical advantages.<br />

Once its transgenic agricultural products were promoted<br />

of mass worldwide, grain seeds cultivated in other<br />

countries are likely to be quickly knocked out <strong>from</strong> the<br />

market, which would lay a solid foundation for the US to<br />

control the world’s food supply <strong>from</strong> the source (Wu et al.,<br />

2010).<br />

It should be noted that a seed can change the world; on<br />

the contrary, a seed can defeat an industry, or even<br />

threaten a country’s food security. An agricultural (seed)<br />

company can also play games with the world’s<br />

agricultural economy and food security. Therefore, the<br />

development of agricultural biotechnology should not be<br />

underestimated; the development of biotech modern<br />

agriculture is unstoppable. In the current circumstances<br />

of economic crisis and food security challenges, we<br />

suggest that establishing a biotech modern agriculture<br />

country should become a national development goal of<br />

China. This is of great practical and historical significance<br />

for the national food and economic security.<br />

BIOTECHNOLOGY AS NATIONAL DEVELOPMENT<br />

GOAL AND COMPETITION STRATEGY IN MANY<br />

COUNTRIES<br />

As early as 1987, The US government convened a group<br />

of biotechnology researchers and national strategy<br />

researchers to study and published a book “Agricultural<br />

biotechnology is a national competition strategy” (Ray,<br />

2003). In 2003, American scientist Ray V. Herren<br />

published his new book “Introduction to Biotechnology:<br />

An Agricultural Revolution”, which was very popular in the<br />

international community and was reprinted by many<br />

Zhengbin et al. 16115<br />

publishing companies. The US government issued a<br />

series of development strategies and blue book reports<br />

such as “Biotechnology in the 21 st Century”. In order to<br />

ensure its leading position in biotechnology industry, highlevel<br />

coordination mechanism and industrial organization<br />

systems are established in the US. Each year, more than<br />

38 billion dollars are invested in biotechnology research<br />

and development (R & D), five bio-valleys and more than<br />

1400 biotechnology companies have been developed. To<br />

encourage the development of biomass energy in<br />

agriculture, the plan is that biomass fuels will replace<br />

10% of the fuel oil consumption by 2020, and 50% by<br />

2050 (Research Report of China, 2010). A special<br />

National Agricultural Biotechnology Council (NABC) was<br />

established in the US. Researching and consulting<br />

organizations of the US congress have paid long-term<br />

attention to biotechnology and its applications in<br />

agriculture. In 2010, two reports were issued, one is<br />

about the background and progress of agricultural<br />

biotechnology (Tadlock and Geoffrey, 2010), and the<br />

other is about the dispute of biotechnology between US<br />

and the European Union (EU) (Charles and Hanrahan,<br />

2010). Although the attitude of the EU towards GM crops<br />

is prudent, its member states are required to actively<br />

develop biomass energy and energy agriculture in order<br />

to alleviate the supply-demand contradiction and improve<br />

the environmental condition. According to the requirements<br />

of the EU, biomass fuels will account for 20% in<br />

the traditional fuel market by 2020 (Research Report of<br />

China, 2010). Turning <strong>from</strong> traditional agriculture to<br />

biological energy agriculture is an important direction<br />

during the agriculture transformation in developed<br />

countries.<br />

In 2005, “High Flyers Think Tank” of Australian<br />

Academy of Science published its proceedings “Biotechnology<br />

and the future of Australian agriculture”( High<br />

Flyers Think Tank, 2005). The goal of the report “development<br />

of biotechnology” issued by British government is to<br />

ensure its world’s second position in biotechnology field.<br />

In Japan, a new strategy called “Biological Industry as<br />

Foundation” was proposed and identified as a national<br />

goal. A new organization “Biotechnology Strategy<br />

Council” headed by the Prime Minister has also been set<br />

up. <strong>India</strong> is also seeking to become a great power of<br />

biotechnology, and has set up its special “Department of<br />

Biotechnology”. In addition, Singaporean government has<br />

drawn up a plan named “Entering the Top Ranks of<br />

Biotechnology in Five Years”. Singapore is expecting to<br />

become a bio-island (Research Report of China, 2010).<br />

After entering the 21 st century, South Korea has<br />

vigorously developed its biotechnology, which is regarded<br />

as a new engine of economic development. Its annual<br />

production value of biology industry has now entered the<br />

reached the advanced level in the world. It is predicted<br />

world top 15. In the field of fermentation technology, stem<br />

cell technology, somatic cloned cattle, AIDS DNA vaccine<br />

and herbicide-resistant crops, they all have currently


16116 Afr. J. Biotechnol.<br />

that in 2010, the total output value of biological industry in<br />

South Korea will reach 3.1 billion dollars, accounting for<br />

1.9% of the international market. These figures will<br />

respectively reach 7.5 billion and 2.0% in 2015, 11.6<br />

billion and 2.2% in 2020 (Yin and Li, 2010).<br />

The international agricultural organizations also attach<br />

great importance to agricultural biotechnology development<br />

and utilization. In an article published in “Science”,<br />

Ismail Serageldin, an expert of Consultative Group on<br />

International Agricultural Research, World Bank, pointed<br />

out that biotechnology will play an important role in food<br />

security in the 21stcentury (Ismail, 1999). In 2000, Food<br />

and Agriculture Organization (FAO) held an international<br />

conference on biotechnology in Japan and published<br />

their declaration on biotechnology, they also constructed<br />

a specialized biotechnology website. Similarly, International<br />

Council of Science (ICSU) published<br />

“Biotechnology and Sustainable Agriculture Report” as<br />

well (Persley et al., 2002). Since 1991, International<br />

Service for the Acquisition of Agri-biotech Applications<br />

(ISAAA) began to pay close attention to the potential of<br />

biotechnology applications in agricultural production and<br />

latest advances in agricultural biotechnology. They<br />

irregularly publish “Biotec crop update” and “Biofuels<br />

Supplement”. In their latest publications “14 Years of<br />

Biotech Agriculture” and “Global Biotech Crops Report<br />

2009”, where they specially mention that Chinese<br />

government has recently approved the cultivation of<br />

transgenic rice and corn.<br />

ESTABLISHING A BIOTECH MODERN<br />

AGRICULTURE: A NATIONAL DEVELOPMENT GOAL<br />

OF CHINA<br />

ISAAA point out that agricultural biotechnology, the<br />

second wave of global biotechnology development, is<br />

now entering a vigorous developing period with the arrival<br />

of this century (the first wave was biotechnology in<br />

medicine industry). Hence developing agricultural<br />

biotechnology in China is worth our deep consideration<br />

and scientific decision-making. Science and technology is<br />

the first productivity, so biotechnology must be the first<br />

productivity in agriculture. Great importance has been<br />

attached to biotechnology in China. A series of books<br />

“Report of the Biotechnology Industry Development in<br />

China” co-published by National Development and the<br />

Reform Committee together with Chinese Society of<br />

Biotechnology is now publishing the seventh book<br />

(National Development and the Reform Committee,<br />

2009). Comrade Deng Xiaoping once pointed out: “The<br />

future of agriculture will eventually depend on bioengineering<br />

technology and other sophisticated technologies.”<br />

Premier Wen Jiabao also mentioned in a<br />

government conference: “In order to solve the food<br />

problem, we must rely on scientific methods, including<br />

biotechnology and transgenic technology.” In 2006, four<br />

deputies to National People's Congress (NPC) put<br />

forward a suggestion about making a national strategy on<br />

biotechnology. Biotechnology was therefore proposed as<br />

a focal point of technology in “Long-term Scientific and<br />

Technological Development Planning Outline (2006 to<br />

2020)” of China.<br />

The biotechnology R & D level of China can get the<br />

leading position among developing countries, even is<br />

world-leading in some fields. China is now one of the few<br />

countries who can independently complete gene<br />

sequencing of main crops. In China, agricultural biotechnology<br />

has the smallest gap with that of developed<br />

countries among all high technologies. Seven plants have<br />

got the commercial production license until October,<br />

2009. The transgenic rice and corn cultivated in China<br />

can increase insect resistance of rice and nutritional<br />

value of feed corn, which can not only increase farmers’<br />

income, create huge economic and social benefits, but<br />

also play a significant role in environmental protection<br />

(Han et al., 2010). The Chinese government has invested<br />

tens of millions of dollars in agricultural biotechnology.<br />

We have the world’s second largest research fund of<br />

biotechnology, preceded only by the US. The current<br />

agricultural biotechnology development is mainly in the<br />

field of biotech crops, particularly in China. Agricultural<br />

GDP includes the output value of animals, crops,<br />

vegetables and forestry. In developed countries, the<br />

output value of animal agriculture accounts for about 55%<br />

of the total agricultural GDP, even as high as 80 to 90% in<br />

some individual countries like Netherlands, Israel.<br />

However, this ratio is only 34% in China while that of<br />

crops is 46~47%. A higher GDP of animal agriculture than<br />

that of crops is an important symbol of modern agriculture<br />

(Long and Li, 2010). Therefore, while keeping the growth<br />

of crop agriculture, we are supposed to pay more<br />

attention to animal and microbe biotechnology at the<br />

same time.<br />

In the early age after liberation, Chairman Mao Zedong<br />

claimed that the fundamental way of agricultural modernization<br />

is agricultural mechanization. We believe it is an<br />

advanced theory on the social and economic conditions<br />

at that time. However, judging <strong>from</strong> the current development<br />

of modern agriculture and biotechnology both at<br />

home and abroad, we believe that in China, the fundamental<br />

way of agriculture is to develop modern<br />

agriculture with combined biotechnology and modern<br />

equipment technology. It is not simply or purely mechanized<br />

agriculture nor biotech agriculture. This should be the<br />

mode of modern agriculture with Chinese characteristics.<br />

Although the Chinese government attaches great<br />

importance to biotechnology and modern agriculture,<br />

there is no overall development strategy. Faced with so<br />

many new concepts of agriculture such as organic<br />

agriculture, ecological agriculture, green agriculture,<br />

biological agriculture; mechanized agriculture, facility<br />

agriculture, modern agriculture, etc, there is a need to<br />

sort out an overall idea of agricultural development and


form a modern agricultural system in China. After a longterm<br />

exploration, we believe that establishing a biotech<br />

modern agriculture country should become a national<br />

development goal.<br />

THE DEVELOPMENT OF BIOTECH AGRICULTURE<br />

During the past 30 years, modern agricultural<br />

development system has changed a lot as the concepts<br />

of biotechnology, agricultural biotechnology, biotech<br />

agriculture, modern agriculture, GM crops and biotech<br />

crop changed. According to the developing process of<br />

agriculture and biotechnology both home and abroad, we<br />

suggest the developing process of biotech modern<br />

agriculture country like this:<br />

Agriculture→Biotechnology→Biotech crops→Agricultural<br />

biotechnology→ Modern agriculture→ Biotech<br />

agriculture→ Biotech modern agriculture→ Biotech<br />

modern agriculture Country. In this developing process,<br />

biotechnology started with one or two techniques simply<br />

applied in agricultural production, and then large scaled<br />

applications in crops (such as virus-free tissue culture,<br />

rapid propagation technology, GM crops, molecular<br />

design breeding), and then universal applications in<br />

agriculture as agricultural biotechnology (including<br />

agricultural food processing, bioenergy agriculture), and<br />

then finally replaced conventional agriculture.<br />

Biotechnology is one aspect of modern agriculture, but<br />

the proportion varies in different stages of modern<br />

agriculture development. Recently, ISAAA noted that<br />

agricultural biotechnology does not mean only GM crops,<br />

but also include traditional breeding, tissue culture,<br />

micropropagation, molecular breeding, marker-assisted<br />

selection, genetic engineering, molecular diagnostic<br />

tools, etc. (International Service for the Acquisition of<br />

Agri-biotech Applications, 2010). However, the current<br />

concentrated area is still GM crop breeding, the concept<br />

and application services of which are still somewhat<br />

limited. In fact, it also includes some other categories,<br />

such as biological breeding, biological energy, biological<br />

fertilizers, biological pesticides, biological control,<br />

biological treatment, biological engineering, biological<br />

refining, biological plastics, biological economy and so<br />

on.<br />

RESEARCH DIRECTIONS OF BIOTECH<br />

AGRICULTURE IN CHINA<br />

In the national forum on agricultural production of major<br />

grain producing areas on September 18th, Vice Premier<br />

Hui Liangyu pointed out that in recent years, faced with<br />

great challenges of natural disasters, the international<br />

financial crisis and the severe impact of abnormal fluctuations<br />

in international agricultural markets, food and<br />

agricultural development are put in a prominent position<br />

Zhengbin et al. 16117<br />

by the Party Central Committee and the State Council. In<br />

current and the coming period, the difficulties and<br />

challenges of agricultural development will keep growing,<br />

increasing pressure of keeping quantitative and structural<br />

balance of agricultural products supply will become more<br />

and more prominent. Hence, to improve food and<br />

agricultural producing capacity as the core, to speed up<br />

the progress of agricultural science and technology, to<br />

improve yields and optimize the product structure as the<br />

main direction, we must vigorously promote institutional<br />

innovation, accelerate the transformation of agricultural<br />

development, strive to build long-term mechanisms to<br />

promote steady agricultural development and increase<br />

income of farmers. Only then the basis of national food<br />

security can be strengthened (Hui, 2010).<br />

In 2009, with the recommendation and promotion of Lu<br />

Yongxiang, president of Chinese Academy of Sciences<br />

(CAS), “Integration and Development Center of Green<br />

Agricultural Technology, CAS” was set up. Based on the<br />

abundant strength of CAS in life sciences and<br />

biotechnology, this center will become an important<br />

transformation, integration and application platform of<br />

green agricultural biotechnology, its function includes<br />

technology incubation, technology integration, industrial<br />

demonstration and achievement transformation. Faced<br />

with the great challenges of national security, food<br />

security, ecological security, environmental security, this<br />

center will offer technological support to green agriculture<br />

and sustainable social development in China. Based on<br />

the comparative research on modern agriculture mode<br />

and biotechnology developing strategy abroad, and<br />

considering national condition of China, we can then put<br />

forward the Chinese theory system, technology system,<br />

policy system and developing strategy of modern<br />

agriculture.<br />

Moreover, goals of modern agriculture should include<br />

the following eight aspects: grain security, food quality<br />

security, biological security; environmental security;<br />

ecological security; energy security, economic security<br />

and social security. All of the aforementioned have to be<br />

based on biotech modern agriculture. We believe that to<br />

establish a biotech modern agriculture country, the<br />

priority development areas should include the following<br />

ones:<br />

(1) Anti-adversity farming (grain and economic crops)<br />

(2) Anti-adversity breeding industry (animal husbandry<br />

and fishery industry)<br />

(3) Microbial engineering (brewing and pharmacy<br />

industry)<br />

(4) Functional food engineering (refining process and<br />

artificial synthesis)<br />

(5) Frontier technology of biology (genomics, proteomics,<br />

metabolomics, gene networks, bioinformatics,<br />

biomedicine)<br />

(6) Biotechnology (biological cloning, transgenic<br />

technology, molecular breeding, enzyme engineering,


16118 Afr. J. Biotechnol.<br />

fermentation engineering, cell engineering)<br />

(7) Biological industry (biological fertilizer, biological<br />

pesticide, biological control, biological plastics, biological<br />

energy, biological pharmacy, biochemical engineering,<br />

bio-refining)<br />

(8) Land security and efficient utilization<br />

(9) Water security and efficient utilization<br />

(10) Environmental security and efficient utilization<br />

(11) Ecological security and conservation<br />

(12) Research on climate changes and agricultural<br />

disaster resistance<br />

(13) Agricultural economy and subsidy policy<br />

CONCLUSION<br />

Life sciences and biotechnology is one of the main areas<br />

which will fundamentally shape the human development<br />

in the 21 st century. It will change the traditional development<br />

mode, build green and renewable industry system,<br />

and significantly improve human health. China has a solid<br />

foundation and market space in this area, which is a<br />

great advantage for the development of biology industry.<br />

According to “the State Council decision on accelerating<br />

the development of new strategic industries” released on<br />

Chinese government website on October 18th, 2010,<br />

China plans to take about 10 years to foster new pillar<br />

industries of national economy, including biotechnology.<br />

FengFei, Minister of Industrial Economics Research<br />

Department of Development Research Center in China,<br />

analyzed that compared to other industries, biology<br />

industry is of more far-reaching strategic significance.<br />

Biotechnology can relieve the resource and environment<br />

pressure, improve human health, and moreover, improve<br />

the capacity of sustainable development. In fact, the<br />

importance of biology industry has long been noticed by<br />

senior leaders. As early as 2004, Ding Shisun, vice<br />

chairman of NPC Standing Committee, sent a letter to the<br />

government and recommended biotechnology industry as<br />

a national strategy. WenJiabao replied to this letter and<br />

indicated that development of biotechnology industry<br />

should be an emphasis of national economic, social<br />

development and scientific progress, and should also be<br />

included in the medium and long term planning.<br />

In 2007, China firstly issued “the Eleventh Five-Year<br />

Plan for Biology Industry”, while in 2009, General Office<br />

of the State Council issued “Notice on the Issuance of a<br />

Number of Policies for Promoting the Development of<br />

Biotechnology Industry”. Also in the same year, China<br />

held the world’s first international biology economy<br />

conference in Tianjin. National biology industry bases are<br />

continuously established everywhere. Besides, as China<br />

Bio-industry Convention held every year fueling the<br />

development of biology, biology economy is now<br />

vigorously developing in China. Moreover, in the recently<br />

issued “Recommendations of the Twelfth Five-Year Plan<br />

for National Economy and Social Development”, the<br />

government pointed out that the construction of modern<br />

agriculture should be accelerated. China’s agriculture is<br />

increasingly restricted by natural resources. Improving<br />

agricultural output only by means of increasing<br />

investment of natural resources is becoming more and<br />

more difficult. The fundamental solution depends on<br />

agricultural modernization with Chinese characteristics,<br />

which means speeding up agricultural mode transformation,<br />

promoting development of agricultural science<br />

and technology, improving agricultural production<br />

capacity, anti-risk ability and market competitiveness.<br />

In such a development background and historical conditions,<br />

there is no doubt that biology industry is entering<br />

a period of rapid development. In China, the development<br />

of biotechnology has close links with the agricultural<br />

modernization, which determines that biotechnology will<br />

become an area of strategic importance. Thus, it is easily<br />

acceptable that establishing a biotech modern agriculture<br />

country should become a national development goal of<br />

China.<br />

ACKNOWLEDGEMENTS<br />

This work was jointly supported by the Major Specialized<br />

Project of Transgenic Breeding New Species<br />

(2009ZX08009-079B), 973 Project (2010CB951501),<br />

the Important Direction Project (KSCX2-EW-N-02) of<br />

CAS, Innovation and Agricultural Poverty-helping<br />

Project, One Hundred-Talent Plan of the Chinese<br />

Academy of Sciences (CAS) and Yantai Science and<br />

Technology Development Project (2011016).<br />

REFERENCES<br />

Charles E, Hanrahan (2010). Agricultural Biotechnology: The U.S.-EU<br />

Dispute. Congressional Research Service.<br />

Han GC (2010). Opportunities and challenges of agricultural<br />

biotechnology industry. China Rural Sci. Technol. 2: 37-40.<br />

High Flyers Think Tank (2005). Biotechnology and the future of<br />

Australian agriculture, Proceedings of the High Flyers Think Tank<br />

held at the Shine Dome. Canberra.<br />

Hui LY (2010). Speech at national forum on agricultural production of<br />

major grain producing areas.Yantai, China.<br />

International Service for the Acquisition of Agri-biotech Applications<br />

(2010). AgriculturalBiotechnology(ALot More than Just GM Crops).<br />

ISAAA SEAsiaCenter.<br />

Ismail S (1999). Biotechnology and Food Security in the 21st Century.<br />

Science, 5426: 387-389.<br />

Jin L, Wang YP, Liu LC, Liu XL (2009). Enlightenment of overseas<br />

successful experiencein modern agriculture development. World<br />

Agric. 5: 31-34.<br />

Long JZ, Li N (2010). Animal agriculture is expected to exceed crop<br />

agriculture in 15 years. Science Times.<br />

National Development and the Reform Committee, Chinese Society of<br />

Biotechnology (2009). Report of the Biotechnology Industry<br />

Development in China.Beijing: Chemical Industry Press.<br />

Persley GJ, Peacock J, Montagu MV (2002). Biotechnology and<br />

sustainable agriculture. ICSU.<br />

Ray VH (2003). Introduction to Biotechnology: An Agricultural<br />

Revolution. Delmar Cengage Learning.<br />

Research Report of China (2010). Development trends and counter


measures of global agricultural biotechnology industry.<br />

Ruan CJ, Xu XX, Shao HB, Jaleel CA (2010).Germplasm-regressioncombined<br />

(GRC) marker-traitassociation identification in plant<br />

breeding: a challengefor plant biotechnological breeding under soil<br />

water deficitconditions. Crit. Rev. Biotechnol. 30: 192-199.<br />

Shao HB, Chu LY, Ruan CJ, Li H, Guo DG, Li WX (2010).Understanding<br />

molecular mechanisms for improvingphytoremediation of heavy<br />

metal-contaminated soils. Crit. Rev. Biotechnol. 30: 23-30.<br />

Tadlock C, Geoffrey SB (2010). Agricultural Biotechnology: Background<br />

and Recent Issues. Congressional Research Service.<br />

Wang YB, Wu PT, Zhao XN, Li JL, Lv L, Shao HB (2010). The<br />

Optimization for Crop Planning and Some Advances forWater-Saving<br />

Crop Planning in the Semiarid Loess Plateauof China. J. Agron. Crop<br />

Sci. 1: 55-65.<br />

Wu PT (2010a). Strategic considerations for Chinese agricultural<br />

waterand food safety: Issues, challenges and suggestions. Afr. J.<br />

Biotechnol. 33: 5251-5261.<br />

Wu PT (2010b). The modern water-saving agricultural<br />

technology:Progress and focus. Afr. J. Biotechnol. 37: 6017-6026.<br />

Wu Y, Liu C (2010). US strategic layout of agricultural products<br />

enteredShenyang.China Daily.<br />

Yin JX, Li RG (2010). Three steps to promotebiotechnology industry in<br />

South Korea. Science Times.<br />

Zhang ZB (2006). Research and development on dryland and high<br />

water use efficiency agriculture in China. Science Press, Beijing.<br />

Zhang ZB (2010). Safety straegy of bio-water-saving.In the book:<br />

Outlines of water science. Edited by Tan JW ,etal, SciencePress,<br />

Beijing, 10: 921-929.<br />

Zhang ZB, Duan ZY (2009).Where is the way for increasing the ablity of<br />

grain security in China. Bull. Chinese Acad. Sci. 6: 610-616.<br />

Zhang ZB, Duan ZY (2010). Water and food security and Modern<br />

Agricultural Development in China. Science Press, Beijing.<br />

Zhengbin et al. 16119<br />

Zhang ZB, Duan ZY, Chen ZB, Xu P, Li GQ (2010). Food Security of<br />

China: The Past, Present and Future. Plant Omics, 3(6): 183-189.<br />

Zhang ZB, Shao HB, XuP, Chu LY, Lu ZHa, Tian JY (2007). On<br />

evolution and perspectives of bio-watersaving, Colloids Surfaces B:<br />

Biointerfaces, 55(1): 1-9.<br />

Zhang ZB, ShaoHB, Xu P, Hu MY, Song WY, Hu XJ (2009). Focus on<br />

Agricultural Biotechnology: Outlook and Applications of Biological<br />

Water-saving Theories and Practices in the Semi-arid and Arid Areas.<br />

Afr. J. Biotechnol., 8(12): 2779-2789.<br />

Zhang ZB, Wang DS (2010). Suggestion for speeding up the<br />

construction of technical stands systerm of green agriculture and<br />

green food in China. Bull. Chinese Acad. Sci. 3: 288-297.<br />

Zhang ZB, Wang DS, Chen ZB, Sun CF, Xu P (2011). Three big jumps<br />

<strong>from</strong> red revolution to black revolution then to green revolution in<br />

China in one hundredyears. Chin. J. Eco-Agriculture, (19)1: 187-192.<br />

Zhang ZB, Xu P (2007). Discussion on developing bioenergy. China<br />

Energy, 8: 13-16.<br />

Zhang ZB, Xu P (2007). Governance of Water and Food Security in<br />

China-with reference to farming in Northwest areas.In the book: Food<br />

and Water Security. Edited by: U. Aswathanarayana, Publishers:<br />

Taylor & Francis (U.K.), Nov 1, pp. 243-254.<br />

Zhang ZB, Xu P (2008). Water and food security in China. Chinese<br />

Journal of Eco-Agriculture, 16(5): 1305-1310.<br />

Zhang ZB, Xu P, Shao HB, Liu MJ, Fu ZY (2010). Advances and<br />

prospects: Biotechnologically improving cropwater use efficiency. Crit.<br />

Rev. Biotechnol. 10.3109/07388551.2010.531004 Published online.


African Journal of Biotechnology Vol. 10(72), pp. 16120-16127, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.410<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Review<br />

Food processing optimization <strong>using</strong> evolutionary<br />

algorithms<br />

Abimbola M Enitan 1 * and Josiah Adeyemo 2<br />

1 Department of Biotechnology and Food Technology, Durban University of Technology, P.O Box 1334,<br />

Durban, 4000, South Africa.<br />

2 Department of Civil Engineering and Surveying, Durban University of Technology,<br />

P.O Box 1334, Durban, 4000, South Africa.<br />

Accepted 12 October, 2011<br />

Evolutionary algorithms are widely used in single and multi-objective optimization. They are easy to use<br />

and provide solution(s) in one simulation run. They are used in food processing industries for decision<br />

making. Food processing presents constrained and unconstrained optimization problems. This paper<br />

reviews the development of evolutionary algorithm techniques as used in the food processing<br />

industries. Some evolutionary algorithms like genetic algorithm, differential evolution, artificial neural<br />

networks and fuzzy logic were studied with reference to their applications in food processing. Several<br />

processes involved in food processing which include thermal processing, food quality, process design,<br />

drying, fermentation and hydrogenation processes are discussed with reference to evolutionary<br />

optimization techniques. We compared the performances of different types of evolutionary algorithm<br />

techniques and suggested further areas of application of the techniques in food processing<br />

optimization.<br />

Key words: Evolutionary algorithms, optimization, food processing, multi-objective, constrained and<br />

unconstrained.<br />

INTRODUCTION<br />

Evolutionary algorithms (EAs) are computational-based<br />

biological-inspired optimization algorithms. They are<br />

stochastic searching methods, commonly used for<br />

solving non-differentiable, non-continuous and multimodal<br />

optimization problems based on Darwin’s natural<br />

selection principle. They imitate the process of natural<br />

evolution and are becoming important optimization tools<br />

for finding the global optimum solutions in several real<br />

world applications. EAs operate on a population of<br />

potential solutions, applying the principle of survival of the<br />

fittest to produce successful and better solution by means<br />

of evolutionary resembling operations (selection, reproduction<br />

and mutation), which are applied on individuals in<br />

a population (Ronen et al., 2002). EAs are widely used<br />

for single and multi-objective optimization in food<br />

processing. Modern day food processing involves a lot of<br />

*Corresponding author. E-mail: enitanabimbola@gmail.com.<br />

Tel: +27313732895. Fax: +27313732816.<br />

decision making resulting in many objective functions and<br />

constraints. EAs can generate Pareto optimal solutions<br />

for these models.<br />

Most manufacturing industries are in a continuous effort<br />

to increase their profits and reduce their production costs<br />

due to the strong competition that exists among them.<br />

Food processing as an aspect of biotechnology is<br />

recently facing remarkable challenges revolving around<br />

maximizing profit in a dynamic and an uncertain<br />

environment, while satisfying a variety of constraints such<br />

as quality of final product, financial, environmental, safety<br />

and human constraints. In response to such challenges,<br />

food industries are trying to improve process operations<br />

by <strong>using</strong> better technology. Processing optimization<br />

includes a performance evaluation function, control<br />

variables, constraints and a mathematical model (Evans,<br />

1982).<br />

Capitalizing on newly available technologies, the food<br />

industries have recently started <strong>using</strong> sophisticated<br />

technologies to improve, monitor, optimize and control<br />

food processing parameters such as moisture content,


temperature, concentration of microorganisms and<br />

nutrients (Rodríguez-Fernández et al., 2007). These<br />

techniques use expert knowledge to achieve a superior<br />

performance. In a situation where problem specific<br />

technique is not applicable due to unknown system<br />

parameters, the multiple local minima, or non-differentiable<br />

evolutionary algorithms (EAs) have the potential<br />

to overcome these limitations (Price, 1999), by <strong>using</strong><br />

mathematical model based techniques to make decisions<br />

about optimal production scenarios. In standard practice,<br />

simulation of multiple future production scenarios <strong>using</strong><br />

numerical model in solving a related optimization problem<br />

in food processing have been discussed (Boillereaux et<br />

al., 2003; Mariani et al., 2008).<br />

Many real-world problems have multiple often competing<br />

objectives. The optimization of food processing<br />

operations may not be an easy task due to complexities<br />

and variations in the raw materials (Vradis and Floros,<br />

1994). EAs as a class of direct search algorithms have<br />

proved to be an important tool for difficult search and<br />

optimization problems and have received increased<br />

interest during the last decade due to the ease way of<br />

handling multiple objective problems. A constrained<br />

optimization problem or an unconstrained multi-objective<br />

problem may in principle be two different ways to pose<br />

the same underlying problem and can be solved by EAs<br />

(Karaboga, 2004; Saputelli et al., 2004). EAs are of<br />

interest to finding solution to real world problems because<br />

they are proving robust in delivering global optimal<br />

solutions which help in resolving limitations encountered<br />

in traditional methods. Among the optimization techniques<br />

that have been applied to solving complex<br />

problems, which includes; linear programming (LP), nonlinear<br />

programme (NLP), dynamic programming (DP),<br />

stochastic dynamic programming (SPD) and heuristic<br />

programming such as genetic algorithm (GA), differential<br />

evolution (DE), shuffled complex evolution, fuzzy logic<br />

(FL), simulated annealing (SA), ant colony optimization<br />

(ACO), particle swarm optimization(PSO) and artificial<br />

neural networks (ANNs) (Sarker and Ray, 2009;<br />

Adeyemo, 2011; Matijasevic et al., 2010; Kennedy and<br />

Eberhart, 1995).<br />

DESCRIPTION OF SOME EVOLUTIONARY<br />

ALGORITHMS<br />

GAs are evolutionary search and optimization algorithms<br />

based on the mechanics of natural genetics and natural<br />

selection. They mimic natural evolution to making a<br />

search process in which solution is encoded as a string of<br />

binary digits. However, new GAs that use real numbers<br />

for encoding are now common. Genetic operators, such<br />

as selection, mutation and crossover are used to<br />

generate new solutions until a stopping criterion is<br />

satisfied (Babu and Munawar, 2007; Mohebbi et al.,<br />

2008). GA has been successfully used in science and<br />

Enitan and Adeyemo 16121<br />

engineering application to reach near-optimum solutions<br />

to a variety of problems (Gen and Cheng, 1996) since its<br />

introduction by Holland (1975). GA requires long process-<br />

sing time for a near-optimum solution to evolve.<br />

In an attempt to reduce the processing time and<br />

improve the quality of solutions, differential evolution (DE)<br />

was introduced by Storn and Price (Storn and Price,<br />

1995). DE is a population based algorithm like genetic<br />

algorithm <strong>using</strong> similar operators; crossover, mutation<br />

and selection for optimization problems. Unlike conventional<br />

GA that uses a binary coding for representing<br />

problem parameters, DE algorithm represents each<br />

variable in the chromosome by a real number. The<br />

principal difference between GA and DE is that GA relies<br />

on crossover, a mechanism of probabilistic and useful<br />

exchange of information among solutions to locate better<br />

solutions, while evolutionary strategies use mutation as<br />

the primary search mechanism (Godfrey and Babu,<br />

2004). DE selection process and its mutation scheme<br />

make DE self-adaptive. DE uses non-uniform crossover<br />

and tournament selection operators to create new<br />

solution strings. All solutions in DE have the same<br />

chance of being selected as parents without dependence<br />

on their fitness value. DE employs a greedy selection<br />

process (Karaboga, 2004). Some advantages of DE<br />

include its robustness, simple structure, ease of use,<br />

speed, quite selective in nonlinear constraint optimization<br />

including penalty functions, easily adaptable for integer<br />

and discrete optimization, and usefulness in optimizing<br />

multi-modal search spaces (Abbass et al., 2001; Strens<br />

and Moore, 2002). DE algorithm is a stochastic<br />

optimization method, which minimizes an objective<br />

function that can model the problem's objectives while<br />

incorporating constraints. It can be used for optimizing<br />

functions with real variables and many local optima<br />

(Pierreval et al., 2003). The performance of DE algorithm<br />

to that of some other well-known versions of genetic<br />

algorithm was compared and the simulation results<br />

showed that the convergence speed of DE is significantly<br />

better than genetic algorithms (Abbass et al., 2001;<br />

Strens and Moore, 2002; Karaboga, 2004).<br />

An artificial neural network (ANN) is a collection of<br />

interconnecting computational elements which simulates<br />

like neurons in biological systems. ANNs allow researchers<br />

to build mathematical models of neurons and<br />

mimic neural behaviour of complex real systems in a<br />

relatively simple manner. ANNs are trained in an efficient<br />

way and a model is developed to deal with the system’s<br />

intrinsic nonlinearities. It has the ability of relating the<br />

input and output parameters without any prior knowledge<br />

of the relationship between them (Chen and<br />

Ramaswamy, 2002; Goni et al., 2008). ANNs may be<br />

used to estimate or predict process behaviour without the<br />

need of a mathematical model, or a prediction equation<br />

associated to the physical problem (Ramesh et al., 1996).<br />

The complexity of the problem determines the number of<br />

neurons in a model. ANNs are widely used in pattern


16122 Afr. J. Biotechnol.<br />

recognition and pattern classification, diagnosis and<br />

control as well as function approximation and optimization<br />

(Bose and Liang, 1996).<br />

The introduction of fuzzy set theory by Zadeh (1975) to<br />

deal with problems in which a source of vagueness is<br />

involved has been reported. Fuzzy modeling is a powerful<br />

method, taking advantages of both scientific and heuristic<br />

modelling approaches. Fuzzy modelling utilizes the past<br />

data and expert knowledge convincingly than conventional<br />

methods. Fuzzy logic (FL) mimics human control<br />

logic. It can be built into anything <strong>from</strong> small, hand-held<br />

products to large computerized process control systems.<br />

It uses an imprecise but very descriptive language as a<br />

human operator to deal with input data (Huang et al.,<br />

2010). Although, the ability of fuzzy systems to solve<br />

different problems with various applications has been<br />

established, and an increasing interest in augmenting<br />

them with learning capabilities by soft-computing<br />

methods such as genetic fuzzy systems is developing<br />

(Liao et al., 2001).<br />

APPLICATION OF EVOLUTIONARY ALGORITHMS IN<br />

FOOD PROCESSING<br />

A good food processing model will combine the laws of<br />

heat, mass and momentum transfer with prediction<br />

equations for the physical properties of food, quality and<br />

safety kinetic models to reflect how the relevant state<br />

variables change with time and position when the food<br />

load is subjected to different processing conditions<br />

(Tijskens et al., 2001; Wang and Sun, 2003). Moreover,<br />

shortage and surplus of goods can lead to loss of income<br />

for many companies due to the short shelf-life of their<br />

products. Therefore, optimization techniques are necessary<br />

in food processing to incorporate the economic<br />

values for the processing and marketing of food.<br />

There is a need to maintain high product quality<br />

considering the uncertainties and fluctuations in<br />

consumer demands. This made food companies to be<br />

more concerned in improving very important parts of food<br />

processing operations. For example, an improved<br />

technique for drying, wetting, heating, cooling and<br />

freezing of foods are necessary (Doganis et al., 2006).<br />

Hence, model-based optimization is of extreme importance<br />

in modern food processing. Computer aidedengineering<br />

have significantly helped during the last<br />

decades in optimal control problems of food processing.<br />

Thermal processing function is an important food<br />

preservation method to inactivate bacterial spores of<br />

public health significance as well as food spoilage<br />

microorganisms in sealed containers of food, <strong>using</strong> heat<br />

treatments at temperatures well above the ambient<br />

boiling point of water in pressurized steam retorts<br />

(autoclaves) that are not detrimental to food quality and<br />

underutilize plant capacity (Simpson et al., 2003;<br />

Holdsworth and Simpson, 2007; Abakarov et al., 2009).<br />

The ability of GA to solve multi-objective problems<br />

makes them valuable tools for application in food<br />

processing systems. The various applications of GAs are<br />

computer-aided molecular design (Shunmugam et al.,<br />

2000), optimal design of xylitol synthesis reactor (Baishan<br />

et al., 2003), on-line optimization of culture temperature<br />

for yeast fermentation (Yüzgeç et al., 2009), optimization<br />

of ethanol production (Rivera et al., 2006; Guo et al.,<br />

2010) synthesis and optimization of non-ideal distillation<br />

system (Fraga and Senos, 1996) and estimation of heat<br />

transfer parameters in trickle bed reactors (González-<br />

Sáiz et al., 2008). Some other applications of genetic<br />

algorithm include determining the thermal deterioration of<br />

vitamin C in bioproduct processing such as<br />

concentration, drying and sterilization, semi-real-time<br />

optimization and control of fed-batch fermentation system<br />

(Koc et al., 1999; Maria et al., 2000; Zuo and Wu, 2000).<br />

Optimization of process variables <strong>using</strong> genetic<br />

algorithm during single screw extrusion cooking of a fish<br />

and rice flour blend was investigated by Shankar and<br />

Bandyopadhyay (2004). The objective was to optimize<br />

the process variables for each and all extrudate<br />

properties during cooking of a fish and rice flour blend.<br />

Second-degree regression equations were developed by<br />

response surfaces methodology (RSM) for screw speed,<br />

expansion ratio, water solubility index, bulk density,<br />

hardness, barrel temperature, feed moisture content and<br />

fish content as process variables, and optimized <strong>using</strong><br />

genetic algorithm. The results showed that under<br />

individual optimum process conditions, minimum bulk<br />

density and maximum water solubility index required high<br />

fish content of 41 to 45% and medium moisture content<br />

of about 40%, respectively and maximum expansion ratio<br />

and minimum hardness required a low fish content of 5%<br />

and feed moisture contents of 60 and 40%, respectively.<br />

Under common optimum process conditions, all four<br />

extrudate properties were optimized at a high fish content<br />

of 41 to 45% and medium moisture content of 40%. The<br />

study concluded that the common optimum process<br />

conditions predicted the properties of the end product<br />

more closely than the individual optimum conditions<br />

determined for each extrudate property.<br />

The efficiency of a nonlinear predictive control genetic<br />

algorithm was developed by Yuzgec et al. (2006) to<br />

determine the optimal drying profile for a biomass drying<br />

process by <strong>using</strong> a model of a batch fluidized bed drying<br />

process of the baker’s yeast that had been developed by<br />

Yüzgeç et al. (2004). The objective of this work was to<br />

develop a control procedure for a nonlinear drying<br />

process in order to increase the quality of product at the<br />

end of the process, decrease the energy consumption<br />

during drying and reduce the cost of the process. The<br />

simulation results showed that the performance of the<br />

drying process is an important factor in the food industry<br />

to enhance the manufacturing quality and decrease the<br />

energy consumption. The drying time and sometimes, the<br />

cost of the process can be reduced. Similar works that


incorporate genetic algorithm-based optimization for the<br />

predictive control have been reported in the literature<br />

(Quirijns et al., 2000; Na et al., 2002; Potocnik and<br />

Grabec, 2002; Haber et al., 2004). Mankar et al. (2002)<br />

studied an on-line optimization control of bulk<br />

polymerization of methyl methacrylate <strong>using</strong> GA to<br />

compute temperature in real time for a period of 2 min.<br />

Artificial neural networks (ANNs) and genetic algorithm<br />

(GA) mimic different aspects of biological information<br />

processing for data modelling and media optimization.<br />

The evaluation of ANN supported GA for optimization<br />

problems in food science, environmental biotechnology,<br />

and bioprocess engineering have been well established<br />

(Baishan et al., 2003). ANN–GA based approach was<br />

used for simultaneous maximization of biomass and<br />

conversion of pentafluoroacetophenon with<br />

Synechococcus PCC 7942 (Franco-Lara et al., 2006) and<br />

optimization of fermentation medium for the production of<br />

xylitol <strong>from</strong> Candida mogii (Baishan et al., 2003; Desai et<br />

al., 2006). A hybrid methodology comprising the Plackett-<br />

Burman (PB) design method, ANN based modelling and<br />

GA was developed to enhance the optimization of media<br />

and inoculums volume for the exopolysaccharides<br />

production by Lactobacillus plantarum isolated <strong>from</strong> the<br />

fermented Eleusine coracan. PB was used to identify the<br />

most three influential media components. ANN was<br />

generated for approximating the non-linear relationship<br />

between the fermentation operating variables and the<br />

yield. Then the input parameters of ANN model was<br />

optimized <strong>using</strong> the GA based process optimization to<br />

obtain the maximum exopolysaccharides yield in the<br />

batch fermentation (Desai et al., 2006). The optimization<br />

of hydantoinase production <strong>from</strong> Agrobacterium<br />

radiobacter, production of lipase <strong>from</strong> a mixed culture and<br />

glucansucrase production <strong>from</strong> Leuconostoc dextranicum<br />

NRRL B-1146 by ANN–GA model <strong>using</strong> RSM based<br />

data was carried out by Nagata and Chu (2003), Haider<br />

et al. (2008) and Singh et al. (2008) respectively.<br />

Optimization results as shown in the literature, review the<br />

effectiveness of <strong>using</strong> hybrid algorithms.<br />

Kovarova-Kovar et al. (2000) studied the optimization<br />

of fed-batch process for the riboflavin production. Later,<br />

thermal inactivation of glucoamylase and optimization of<br />

catalytic reaction of pancreas lipase was studied by<br />

Bryjak et al. (2004), Manohar and Divakar (2005),<br />

respectively. Chen and Ramaswamy (2002) developed<br />

an algorithm that combines the mathematical model with<br />

the optimization of variable retort temperature thermal<br />

processing for conduction-heated foods <strong>using</strong> ANNs-GA<br />

hybrid. A year later, Morimoto et al. (2003) presented the<br />

dynamic optimization of a heat treatment for minimizing<br />

water losses in tomatoes during storage. An artificial<br />

neural network and genetic algorithm were used to<br />

determine the optimal processing conditions for spraydried<br />

whole milk powder processing by Koc et al. (2007).<br />

The researchers developed a general regression neural<br />

network model to predict the responses of lactose<br />

Enitan and Adeyemo 16123<br />

crystallinity and free fat content <strong>from</strong> the processor screw<br />

speed, process temperature, milk powder feed rate and<br />

lecithin addition rate during the evaluation of fitness<br />

function of a genetic algorithm optimization <strong>using</strong><br />

response surfaces experimental design methodology.<br />

The genetic algorithm was used to determine both the<br />

individual and common optimal operating conditions for<br />

the whole milk powder process. It was demonstrated that<br />

the optimal conditions for spray-dried whole milk powder<br />

processing variables to produce maximum free fat<br />

content, maximum lactose crystallinity and minimum<br />

average particle size by <strong>using</strong> genetic algorithms and<br />

neural networks are obtainable. Izadifar and Jahromi<br />

(2007) used the experimental data set <strong>from</strong> a vegetable<br />

oil pilot plant reactor to develop a neural network model<br />

for a vegetable oil hydrogenation process. The neural<br />

network was used as a predictor to evaluate a<br />

combination of reaction conditions during the genetic<br />

algorithm optimization for the minimum isomer and<br />

maximum cis-oleic acid. The same year, Erenturk and<br />

Erenturk (2007) studied the drying kinetics of carrot <strong>using</strong><br />

genetic algorithm and ANNs hybridization.<br />

Applications of ANNs in food process modelling, control<br />

and quality evaluation of food products have been<br />

surfacing since 1990. Artificial neural networks have been<br />

applied in the twin-screw extrusion cooker control (Linko<br />

et al., 1992), prediction of dough rheological properties<br />

(Ruan et al., 1997) and meat quality prediction (Yan et<br />

al., 1998). More recently, ANNs have been receiving<br />

greater attention in drying technologies (Kaminski et al.,<br />

1998; Sreekanth et al., 1998; Chen et al., 2000),<br />

fermentation (Aires-De-Sousa, 1996), food rheology<br />

(Ruan et al., 1995) and thermal processing (Sablani et<br />

al., 1997a, b). Other applications of ANNs in food<br />

processing report include baking (Cho and Kim, 1998)<br />

and post harvesting (Morimoto et al., 1997a, b),<br />

Boillereaux et al. (2003) determine the thermal<br />

properties of the gelatin gel during thawing <strong>using</strong> artificial<br />

neural networks. Mittal and Zhang (2000) developed a<br />

feed forward neural network to predict the freezing and<br />

thawing time of food products with simple regular shapes.<br />

In a similar study by Goni et al. (2008), they optimized the<br />

trial and error definition of the net parameters. The<br />

objective of their work was to develop and to validate<br />

three neural networks techniques; one for the prediction<br />

of freezing times, another one for the prediction of<br />

thawing times and a third one for both freezing and<br />

thawing times of foods of any shape and composition<br />

based exclusively on reported experimental data. The<br />

results showed that the developed ANNs were efficient<br />

for the estimation of freezing and thawing times of foods<br />

of all types, shapes, sizes and compositions and the<br />

developed genetic algorithm was also useful for<br />

improving the generalization ability of the neural<br />

networks.<br />

Rodríguez-Fernández et al. (2007) proposed an<br />

integrated two-step identification model for air-drying of


16124 Afr. J. Biotechnol.<br />

food. Structural identifiability analysis for model methods<br />

was carried out to improve the efficiency and robustness<br />

of model parameters. Drying of tomato <strong>using</strong> artificial<br />

neural network modelling was presented by<br />

Movagharnejad and Nikzad (2007). It was reported that<br />

the ANN model describes the drying behaviour of tomato<br />

more accurately than empirical correlations.<br />

Considerable work on the variable retort tempera-tures<br />

(VRT) to improve the quality of canned food and<br />

significantly reduce processing times in comparison to<br />

traditional constant retort temperature (CRT) processing<br />

has been reported in the literature (Teixeira et al., 1969,<br />

1975; Babu and Chaurasia, 2003; Banga et al., 2003).<br />

Chen and Ramaswamy (2002) searched the optimal<br />

variable retort temperature (VRT) thermal processing<br />

<strong>using</strong> coupled neural networks and genetic algorithm<br />

model for heated foods to identify optimal processing<br />

conditions that will reduce surface cook value and the<br />

process time to maximize the final nutrient retention of a<br />

conduction-heated canned food.<br />

Olmos et al. (2002) studied the compromise between<br />

the final product quality and total process drying time of<br />

rice. Erdogdu and Balaban (2003) studied the<br />

optimization of thermal processing of canned foods <strong>using</strong><br />

several objective functions. On the other hand, very little<br />

attempts have been made to solve the multi-objective<br />

optimization problem of nutrient destruction by the action<br />

of heat during the thermal sterilization of foods, although<br />

it is generally accepted that microbiological safety must<br />

be the primary objective but foods are sometimes overprocessed<br />

especially canned foods (Fryer and Robbins,<br />

2005). To this effect, Sendín et al. (2006) and (2010)<br />

recently proposed and successfully applied novel multicriteria<br />

optimization method to the thermal processing of<br />

foods, where the minimization of total process time and<br />

the maximization of the retention of several nutrients and<br />

quality factors were simultaneous considered. The new<br />

strategy has proved to be efficient and robust when<br />

applied to the non-linear dynamic model considered.<br />

Ainscough and Aronson (1999) compared ANNs to linear<br />

regression for studying the same effects on yogurt. ANNs<br />

have been applied successfully to problems concerning<br />

sales of food products (peanut butter and ketchup), such<br />

as predicting the impact of promotional activities and<br />

consumer choice on the sales volumes at retail store<br />

(Doganis et al., 2006). They were found to perform better<br />

than linear models.<br />

Since the development of differential evolution (DE)<br />

algorithm, it has been successfully applied to solve<br />

several optimization problems of chemical and biological<br />

processes (Chiou and Wang, 2001; Lu and Wang, 2001;<br />

Cheng and Wang, 2004; Liu and Wang, 2010). Other<br />

applications include; the fuzzy-decision making problems<br />

of fuel ethanol production (Wang et al., 1998),<br />

fermentation process (Chiou and Wang, 1999; Wang and<br />

Cheng 2001), other engineering applications by Babu<br />

and Angira, 2002; Babu and Jehan, 2003; Babu, 2004,<br />

2007; Angira and Babu, 2006). These studies concluded<br />

that DE takes less computational time to converge<br />

compared to the existing techniques without<br />

compromising the accuracy of the parameters being<br />

estimated.<br />

Sarimveis and Bafas (2003) proposed fuzzy model<br />

predictive control of non-linear processes <strong>using</strong> GA.<br />

Peroni et al. (2005) improved the simulation-based<br />

approximate dynamic programming method for optimal<br />

control of a fed-batch process and the optimal feed rate<br />

profile under varying initial conditions by a simulatedbased<br />

control strategy. A recurrent neurofuzzy network<br />

based modeling and optimal control for a fed-batch<br />

process was presented by Zhang (2005). Perrot et al.<br />

(1998) combined fuzzy and genetic methods for optimal<br />

control of the microfiltration of sugar products. In this<br />

study, validation of the controller was carried out through<br />

simulation <strong>using</strong> a neural network model of the process<br />

and parameters of fuzzy controller were optimized off-line<br />

by GA. Petermeier et al. (2002) proposed a hybrid<br />

structure for modeling of the fouling process in a tubular<br />

heat exchanger for the dairy industry based on a<br />

combination of expert knowledge and parameterized<br />

equations in a fuzzy model. The ability of a fuzzy<br />

inference system to modeling and simulation of the cross<br />

ultra-filtration process of milk and to predict permeate flux<br />

and total hydraulic resistance under different hydrodynamics<br />

parameters and operating time was studied by<br />

Sargolzaei et al. (2008).<br />

The optimization of multiproduct batch plants design<br />

problem for protein production <strong>using</strong> fuzzy multiobjective<br />

algorithm concepts was carried out by Dietz et al. (2008).<br />

The developed model provided a set of scenarios that<br />

constituted a very promising framework for taking<br />

imprecision into account in new product development<br />

stage and in making decision. Kiranoudis and Markatos<br />

(2000) considered the multi-objective design of food<br />

dryers <strong>using</strong> a static mathematical model. The authors<br />

minimized simultaneously an economic measure and the<br />

colour deviation of the final product. A similar work was<br />

presented by Koc et al. (1999). Fuzzy logic was used in<br />

the real–time control of a spray–drying of whole milk<br />

powder processing. The objective was to increase the<br />

free fat content of the whole milk product and consistent<br />

colour. The algorithm used controlled the process at the<br />

desired power consumption and provided whole milk<br />

products with the desired colour values within 3.0 unit<br />

deviations. Also, the free fat content was over 95%, and<br />

lactose was in crystalline form in the final dry milk<br />

product.<br />

CONCLUSION<br />

This paper reviews the computational-based optimization<br />

technique algorithms that are becoming promising global<br />

optimization tools for major real world applications in


finding global optimum solutions to food technology<br />

problems. New hybrid optimizers have been successfully<br />

developed to solve various constrained and unconstrained<br />

multi-objective optimization problems for modern food<br />

processing optimization. The paper reviewed some of the<br />

successful applications of optimization algorithms in the<br />

food processing industry. The successful applications of<br />

EAs suggested that EAs will have increasing and<br />

encouraging impact for solving real world problems in the<br />

manufacturing industry in the future. Therefore, to<br />

increase the ability of EAs for solving food processing<br />

problems, further research interest to exploit the<br />

abundant expert knowledge and deal with high dimensionality<br />

common to real world problems are needed.<br />

The final quality and marketing of food products<br />

depend on their thermal treatment history. Due to this<br />

fact, application of new techniques for food treatment<br />

processes especially for the optimal treatment policies for<br />

the control of food products and processes regarding<br />

microbiological safety and final quality of food is very<br />

important. Therefore, fundamental research on the<br />

design, modelling, simulation and evaluation of different<br />

thermal food process scenarios and heating strategies is<br />

crucial. Recent interests are directed towards the<br />

simultaneous estimation of the thermal conductivity and<br />

heat capacity by means of single or dual heat probe<br />

methods to measure the temperature response in the<br />

food products.<br />

REFERENCES<br />

Abakarov A, Sushkov Y, Almonacid S, Simpson R (2009). Thermal<br />

processing optimization through a modified adaptive random search.<br />

J. Food Eng. 93(2): 200-209.<br />

Abbass HA, Sarker R, Newton C (2001). PDE: A pareto-frontier<br />

differential evolution approach for multi-objective optimization<br />

problems. Proceedings. In Proc. congress on Evolutionary<br />

Computation. Pp. 971-978.<br />

Adeyemo JA (2011). Reservoir Operation <strong>using</strong> Multi-objective<br />

Evolutionary Algorithms- A Review. Asian J. Sci. Res. (1): 16-27.<br />

Ainscough TL, Aronson JE (1999). An empirical investigation and<br />

comparison of neural networks and regression for scanner data<br />

analysis. J. Retail. Consumer Services, 6(4): 205-217.<br />

Aires-De-Sousa J (1996). Verifying wine origin: A neural network<br />

approach." American J. Ecol. Viticulture, 47(4): 410-414.<br />

Angira R, Babu BV (2006). Optimization of process synthesis and<br />

design problems: A modified differential evolution approach. Chem.<br />

Eng. Sci. 61: 4707-4721.<br />

Babu BV (2004). Process Plant Simulation. Oxford University Press,<br />

New Delhi, <strong>India</strong><br />

Babu BV (2007). Improved differential evolution for single- and<br />

multiobjective optimization: MDE, MODE, NSDE, and MNSDE. In:<br />

Deb K, Chakroborty P, Iyengar, NGR, Gupta SK (Eds.). Advances in<br />

Computational Optimization and its Applications. Universities Press,<br />

Hyderabad, pp. 24-30.<br />

Babu BV Angira R (2002). A differential evolution approach for global<br />

optimization of MINLP problems. In: Proceedings of Fourth Asia-<br />

Pacific Conference on Simulated Evolution and Learning (SEAL’02),<br />

November 18–22, 2002, Singapore, 1033(2): 880-884.<br />

Babu BV, Chaurasia AS (2003). "Optimization of pyrolysis of biomass<br />

<strong>using</strong> differential evolution approach." In: Proceeding of fourth Asia-<br />

Pacific conference on computational intelligence. Robotics and<br />

autonomous systems (CIRAS). Singapore. December, pp. 15-18.<br />

Enitan and Adeyemo 16125<br />

Babu BV, Jehan MML (2003). "Differential evolution for multiobjective<br />

optimization." In: Proceedings of 2003 Congress on Evolutionary<br />

Computation (CEC-2003), December 8-12, 2003, Canberra,<br />

Australia. pp. 2696-2703.<br />

Babu BV, Munawar SA (2007). "Differential evolution strategies for<br />

optimal design of shell-and-tube heat exchangers." Chem. Eng. Sci.<br />

62: 3720-3739.<br />

Baishan F, Hongwen C, Xiaolan X, Ning W, Zongding H (2003). Using<br />

genetic algorithms coupling neural networks in a study of xylitol<br />

production: medium optimisation. Process Biochem. 38(7): 979-985.<br />

Banga JR, Balsa-Canto E, Moles CG, Alonso AA (2003). Improving<br />

food processing <strong>using</strong> modern optimization methods. Trends in Food<br />

Sci. Technol. 14(4): 131-144.<br />

Boillereaux L, Cadet D, Le Bail A (2003). Thermal properties estimation<br />

during thawing via real-time neural network learning. J. Food Eng.<br />

57(1): 17-23.<br />

Bose NK, Liang P (1996). Neural Network Fundamentals with Graphs.<br />

Algorithms and Applications. McGraw-Hill series in electrical and<br />

computer engineering, NY, USA.<br />

Bryjak J, Ciesielski K, Zbicinski I (2004). Modelling of glucoamylase<br />

thermal inactivation in the presence of starch by artificial neural<br />

network. J. Biotechnol. 114: 117-185.<br />

Chen CR, Ramaswamy HS (2002). Modeling and optimization of<br />

variable retort temperature (VRT) thermal processing <strong>using</strong> coupled<br />

neural networks and genetic algorithms. J. Food Eng. 53(3): 209-220.<br />

Chen CR, Ramaswamy HS, Alli I (2000). Neural network based<br />

optimization of quality of osmo-convective dried blue berries. In<br />

FOOD SIM’ 2000, First International Conference on Simulation in<br />

Food and Bio Industries: pp. 33-35.<br />

Cheng HC, Wang FS (2004). Parameter Estimation of Differential-<br />

Algebraic Systems Using Accessible Measurement. J. Chem. Eng.<br />

Jpn., 37: 1390.<br />

Chiou JP, Wang FS (1999). Hybrid method of evolutionary algorithms<br />

for static and dynamic optimization problems with application to a fedbatch<br />

fermentation process. Computers Chem. Eng. 23(9): 1277-<br />

1291.<br />

Chiou JP, Wang FS (2001). ‘Estimation of Monod Parameters by Hybrid<br />

Differential Evolution. Bioprocess Biosyst. Eng. 24: 109.<br />

Cho SI, Kim SC (1998). Neural network modeling and fuzzy control of<br />

baking process. ASAE paper: 3548-3561. St. Joseph, MI: ASAE.<br />

Desai KM, Akolkar SK, Badhe YP, Tambe SS, Lele SS (2006).<br />

Optimization of fermentation media for exopolysaccharide production<br />

<strong>from</strong> Lactobacillus plantarum <strong>using</strong> artificial intelligence-based<br />

techniques. Process Biochem. 41(8): 1842-1848.<br />

Dietz A, Aguilar-Lasserre A, Azzaro-Pantel C, Pibouleau L, Domenech<br />

S (2008). A fuzzy multiobjective algorithm for multiproduct batch<br />

plant: Application to protein production. Computers Chem. Eng. 32(1-<br />

2): 292-306.<br />

Doganis P, Alexandridis A, Patrinos P, Sarimveis H (2006). Time series<br />

sales forecasting for short shelf-life food products based on artificial<br />

neural networks and evolutionary computing. J. Food Eng. 75(2):<br />

196-204.<br />

Erdogdu F, Balaban MO (2003). Complex method for nonlinear<br />

constrained multicriteria (multi-objective function) optimization of<br />

thermal processing. J. Food Process Eng. 26: 357-375.<br />

Erenturk S, Erenturk K (2007). Comparison of genetic algorithm and<br />

neural network approaches for the drying process of carrot. J. Food<br />

Eng. 78: 905–912.<br />

Evans LB (1982). Optimization theory and its application in food<br />

processing. Food Technol. 6: 88-93.<br />

Fraga ES, Senos MTR (1996). Synthesis and optimization of a nonideal<br />

distillation system <strong>using</strong> a parallel genetic algorithm. Computers<br />

Chem. Eng. 20: 79-84.<br />

Franco-Lara E, Link H, Weuster-Botz D (2006). Evaluation of artificial<br />

neural networks for modeling and optimization of medium<br />

composition with a genetic algorithm. Process Biochem. 41: 2200-<br />

2206.<br />

Fryer P, Robbins P (2005). Heat transfer in food processing: ensuring<br />

product quality and safety. Appl. Thermal Eng., 25: 2499-2510.<br />

Gen M, Cheng R (1996). Genetic Algorithms and Engineering Design.<br />

Wiley, New York.<br />

Godfrey CO, Babu BV (2004). New Optimization Techniques in


16126 Afr. J. Biotechnol.<br />

Engineering, Springer-Verlag, Heidelberg, Germany.<br />

Goni SM, Oddone S, Segura JA, Mascheroni RH, Salvadori VO (2008).<br />

Prediction of foods freezing and thawing times: Artificial neural<br />

networks and genetic algorithm approach. J. Food Eng. 84(1): 164-<br />

178.<br />

González-Sáiz, JM, Pizarro C, Garrido-Vidal D (2008). Modelling gasliquid<br />

and liquid-gas transfers in vinegar production by genetic<br />

algorithms. J. Food Eng. 87(1): 136-147.<br />

Guo Y, Xu J, Zhang Y, Xu H, Yuan Z, Li D (2010). Medium optimization<br />

for ethanol production with Clostridium autoethanogenum with carbon<br />

monoxide as sole carbon source. Bioresour. Technol. 101(22): 8784-<br />

8789.<br />

Haber R, Schmitz U, Bars R (2004). Optimal choice of horizons for<br />

predictive control by <strong>using</strong> genetic algorithms. Chin. J. Comput. Phys.<br />

28: 53-58.<br />

Haider MA, Pakshirajan K, Singh A, Chaudhry S (2008). Artificial neural<br />

network and genetic algorithm approach to optimize media<br />

constituents for enhancing lipase production by a soil microorganism.<br />

Appl. Biochem. Biotechnol. 144: 225–235.<br />

Holdsworth SD, Simpson R (2007). Thermal processing of packaged<br />

foods. 2nd edition. Springer, New York, USA: 412.<br />

Holland JH (1975). Adaptation in Natural and Artificial Systems.<br />

University of Michigan Press, Ann Arbe, MI.<br />

Huang Y, Lan Y, Thomson SJ,Fang A, Hoffmann WC, Lacey RE (2010).<br />

Development of soft computing and applications in agricultural and<br />

biological engineering. Computers and Electronics Agric. 71(2): 107-<br />

127.<br />

Izadifar M, Jahromi MZ (2007). Application of genetic algorithm for<br />

optimization of vegetable oil hydrogenation process. J. Food Eng.<br />

78(1): 1-8.<br />

Kaminski WP, Strumillo P, Romczak E (1998). Neurocomputing<br />

approaches to modeling of drying process dynamics. Drying Technol.<br />

16(6): 967-992.<br />

Karaboga D (2004). A Simple and Global Optimization Algorithm for<br />

Engineering Problems: Differential Evolution Algorithm. Turk. J. Elec.<br />

Eng. 12(1): 53-60.<br />

Kennedy J, Eberhart RC (1995). Particle swarm optimization. Proc.<br />

1995 IEEE Int. Conf. on Neural Networks (Perth, Australia) pp. 1942-<br />

1948.<br />

Kiranoudis CT, Markatos NC (2000). Pareto design of conveyor-belt<br />

dryers. J. Food Eng. 46: 145-155.<br />

Koc AB, Heinemann PH, Ziegler GR (1999). Determining the optimal<br />

conditions for spray dried whole milk powder process <strong>using</strong> genetic<br />

algorithms with neural networks, in An ASAE Meeting Presentation,<br />

July 18–21 paper no. 993133.<br />

Koc AB, Heinemann PH, Ziegler GR (2007). Optimization of Whole Milk<br />

Powder Processing Variables with Neural Networks and Genetic<br />

Algorithms. Food Bioproducts Processing, 85(4): 336-343.<br />

Kovarova-Kovar K, Gehlen S, Kunze A, Keller T, Von Daniken R, Kolb<br />

M, VanLoon APGM (2000). Application of model-predictive control<br />

based on artificial neural networks to optimize the fed-batch process<br />

for riboflavin production. J. Biotechnol. 79: 39-52.<br />

Liao CT, Tzeng WJ, Wang FS (2001). Mixed-Integer Hybrid Differential<br />

Evolution for Synthesis of Chemical Processes, J. Chinese Institute<br />

Chem. Eng. 32: 491.<br />

Linko P, Uemura K, Eerikainen T (1992). Application of neural network<br />

models in fuzzy extrusion control. Trans. Chem. Eng. 70(3): 131-137.<br />

Liu P-K, Wang FS (2010). Hybrid differential evolution including<br />

geometric mean mutation for optimization of biochemical systems. J.<br />

Taiwan Institute Chem. Eng. 41: 65-72.<br />

Lu JC, Wang FS (2001). Optimization of Low Pressure Chemical Vapor<br />

Deposition Reactors Using Hybrid Differential Evolution, Can. J.<br />

Chem. Eng. 79: p. 246.<br />

Mankar RB, Saraf DN, Gupta SK (2002). On-line optimizing control of<br />

bulk polymerization of methyl methacrylate: Some experimental<br />

results for heater failure. J. Appl. Polym. Sci. 85: 2350-2360.<br />

Manohar B, Divakar S (2005). An artificial neural network analysis of<br />

porcine pancreas lipase catalysed esterification of anthranilic acid<br />

with methanol. Process Biochem. 40: 3372-3376.<br />

Maria JN, Dolors MG, Luis P (2000). Parameter estimation with genetic<br />

algorithm in control fed-batch reactors. Chem. Eng Proc. 41(4): 303-<br />

309.<br />

Mariani VC, Barbosa de Lima AG, Coelho LS (2008). Apparent thermal<br />

diffusivity estimation of the banana during drying <strong>using</strong> inverse<br />

method. J. Food Eng. 85(4): 569-579.<br />

Matijasevic L, Dejanovic I, Spoja D (2010). A water network<br />

optimization <strong>using</strong> MATLAB--A case study. Resour. Conserv.<br />

Recycling, 54(12): 1362-1367.<br />

Mittal GS, Zhang J (2000). Prediction of freezing time for food products<br />

<strong>using</strong> a neural network. Food Res. Int. 33: 557-562.<br />

Mohebbi M, Barouei J, Akbarzadeh-T MR, Rowhanimanesh AR, Habibi-<br />

Najafi MB, Yavarmanesh MM (2008). Modeling and optimization of<br />

viscosity in enzyme-modified cheese by fuzzy logic and genetic<br />

algorithm. Computers Electronics Agric. 62(2): 260-265.<br />

Morimoto T, Baerdemaeker JD, Hashimoto Y (1997a). An intelligent<br />

approach for optimal control of fruit-storage process <strong>using</strong> neural<br />

networks and genetic algorithms. Computers Electronics Agric. 18:<br />

205-224.<br />

Morimoto T, Purwanto W, Suzuki J, Hashimoto Y (1997b). Optimization<br />

of heat treatment for fruit during storage <strong>using</strong> neural networks and<br />

genetic algorithms. Computers Electronics Agric. 19: 87-101.<br />

Morimoto T, Tu K, Hashimoto Y (2003). Dynamic optimization <strong>using</strong><br />

neural networks and genetic algorithms for tomato cool storage to<br />

minimize water loss. Trans. ASAE, 46: 1151-1159.<br />

Movagharnejad K, Nikzad M (2007). Modeling of tomato drying <strong>using</strong><br />

artificial neural network. Computers Electronics Agric. 59(1-2): 78-85.<br />

Na JG, Chang YK, Chung BH, Lim HC (2002). Adaptive optimization of<br />

fed-batch culture of yeast by <strong>using</strong> genetic algorithms. Bioprocess<br />

Eng. 24: 299-308<br />

Nagata Y, Chu KH (2003). Optimization of a fermentation medium <strong>using</strong><br />

neural networks and genetic algorithms. Biotechnol. Lett. 25: 1837-<br />

1842.<br />

Olmos A, Trelea IC, Courtois F, Bonazzi C, Trystram G (2002).<br />

Dynamic optimal control of batch rice drying process. Drying Technol.<br />

20(7): 1313-1345.<br />

Peroni CV, Kaisare NS, Lee J(2005). Optimal control of fed-batch<br />

bioreactor <strong>using</strong> simulation-based approximate dynamic<br />

programming. IEEE Trans. Control Syst. Technol. 13(5): 786-90.<br />

Perrot N, Me L, Trystram G, Trichard JM, Decloux M (1998). Optimal<br />

control of the microfiltration of sugar product <strong>using</strong> a controller<br />

combining fuzzy and genetic approaches. Fuzzy Sets Syst. 94(3):<br />

309–322.<br />

Petermeier H, Benningm R, Delgado A, Kulozik U, Hinrichis J, Becker T<br />

(2002). Hybrid model of the fouling process in tubular heat<br />

exchangers for the dairy industry. J. Food Eng. 55(1): 9-17.<br />

Potocnik P, Grabec I (2002). Nonlinear model predictive control of a<br />

cutting process. Neurocomputing, 43: 107-126.<br />

Price K (1999). "New Ideas in Optimization." McGraw-Hill Publishing<br />

Company. pp. 77-106.<br />

Quirijns EJ, van Willigenburg LG, van Boxtel AJB, van Straten G (2000).<br />

The significance of modeling spatial distributions of quality in optimal<br />

control of drying processes. J. A. Benelux Quart. Automatic Control.<br />

41: 56-64.<br />

Ramesh MN, Kumar MA, Rao PNS (1996). Application of artificial<br />

neural networks to investigate the drying of cooked rice. J. Food<br />

Process Eng. 19: 321–329.<br />

Rivera EC, Costa AC, Atala DIP, Maugeri F, Maciel MRW, Filho RM<br />

(2006). Evaluation of optimization techniques for parameter<br />

estimation: Application to ethanol fermentation considering the effect<br />

of temperature. Process Biochem. 41(7): 1682-1687.<br />

Rodriguez Fernandez M, Balsa-Canto, E, Egea JA, Banga JR (2007).<br />

Identifiability and robust parameter estimation in food process<br />

modeling: Application to a drying model. J. Food Eng. 83(3): 374-383.<br />

Ronen M, Shabtai Y, Guterman H (2002). "Optimization of feeding<br />

profile for a fed-batch bioreactor by an evolutionary algorithm. J.<br />

Biotechnol. 97: 253–263.<br />

Ruan R, Almaer S, Zhang J (1995). Prediction of dough rheological<br />

properties <strong>using</strong> neural networks. Cereal Chem. 72(3): 308-311.<br />

Ruan R, Almaer S, Zou C, Chen PL (1997). 1997 Spectrum analyses of<br />

mixing power curves for neural network prediction of dough<br />

rheological properties. Trans. ASAE, 40(3): 677-681.<br />

Sablani SS, Ramaswamy HS, Sreekanth S, Prasher SO (1997a).<br />

Neural network modeling of heat transfer to liquid particle mixtures in


cans subjected to end-over-end processing. Food Res. Int. 30(2): 105-<br />

116.<br />

Sablani SS, Ramaswamy HS, Sreekanth S, Prasher SO (1997b). A<br />

neural network approach for thermal processing application. J. Food<br />

Processing Preserv. 19(4): 283-301.<br />

Saputelli L, Nikolaou M, Economides MJ (2004). Real-Time Reservoir<br />

Management: A Multi-Scale Adaptive Optimization and Control<br />

Approach.<br />

Sargolzaei J, Khoshnoodi M, Seghatoleslami N, Mousavi M (2008).<br />

Fuzzy inference system to modeling of cross flow milk ultrafiltration.<br />

Appl. Soft Computing, 8(1): 456-465.<br />

Sarimveis H, Bafas G (2003). Fuzzy model predictive control of nonlinear<br />

processes <strong>using</strong> genetic algorithms. Fuzzy Sets Syst. 139: 59–<br />

80.<br />

Sarker R, Ray T (2009). An improved evolutionary algorithm for solving<br />

multi-objective crop planning models. Comp. Elect. Agric. 68: 191-<br />

199.<br />

Sendín J-OH, Otero-Muras I, Alonso AA, Banga JR (2006). Improved<br />

optimization methods for the multiobjective design of bioprocesses.<br />

Industrial Eng. Chem. Res. 45: 8594-8603.<br />

Sendín JOH, Alonso AA, Banga JR (2010). Efficient and robust multiobjective<br />

optimization of food processing: A novel approach with<br />

application to thermal sterilization. J. Food Eng. 98(3): 317-324.<br />

Shankar TJ, Bandyopadhyay S (2004). Optimization of Extrusion<br />

Process Variables Using a Genetic Algorithm. Food Bioproducts<br />

Processing, 82(2): 143-150.<br />

Shunmugam MS, Reddy SVB, Narendran AA (2000). Selection of<br />

optimal conditions in multi-pass face-milling <strong>using</strong> a genetic<br />

algorithm. International J. Machine Tools Manufacture, 40: 401-414.<br />

Simpson R, Almonacid S, Teixeira A (2003). Optimization criteria for<br />

batch retort battery design and operation in food canning-plants. J.<br />

Food Process Eng. 25(6): 515–538.<br />

Singh A, Majumder A, Goyal A (2008). Artificial intelligence based<br />

optimization of exocellular glucansucrase production <strong>from</strong><br />

Leuconostoc dextranicum NRRL B-1146. Bioresour. Technol. 99(17):<br />

8201-8206.<br />

Sreekanth S, Ramaswamy HS, Sablani S (1998). Prediction of<br />

psychrometric parameters <strong>using</strong> neural networks. Drying Technol.<br />

16(3–5): 825–837.<br />

Storn R, Price K (1995). Differential evolution: a simple and efficient<br />

adaptive scheme for global optimization over continuous spaces.<br />

Technical Report TR-95-012, International Computer Science<br />

Institute, Berkeley, USA.<br />

Strens M, Moore A (2002). Policy Search <strong>using</strong> Paired Comparisons. J.<br />

Machine Learning Res. 3: 921-950.<br />

Teixeira AA, Dixon JR, Zahradnik JW, Zinsmeister GE (1969).<br />

Computer optimization of nutrient retention in thermal processing of<br />

conduction heated foods. Food Technol. 23(6): 137-142.<br />

Enitan and Adeyemo 16127<br />

Teixeria AA, Zinsmeister GE, Zahradnik JW (1975). Computer<br />

simulation of variable retort control and container geometry as a<br />

possible means of improving thiamine retention in thermallyprocessed<br />

foods. J. Food Sci. 40(3): 656–659.<br />

Tijskens LMM, Hertog M, Nicolai BM (2001). Food process modeling.<br />

Cambridge/Boca Raton: Woodhead Pub. Lim./CRC Press LLC.<br />

Vradis IG, Floros JD (1994). Genetic algorithms and fuzzy theory for<br />

optimization and control of food processes. Proceedings of the 8th<br />

International Flavor Conference, Cos, Greece: pp. 2169-2182.<br />

Wang FS, Cheng MW (1999). Simultaneous optimization of feeding rate<br />

and operation parameters for fed-batch fermentation processes.<br />

Biotechnol. Progress, 15(5): 949-952.<br />

Wang FS, Su TL, Jang HJ (2001). Hybrid Differential Evolution for<br />

Problems of Kinetic Parameter Estimation and Dynamic Optimization<br />

of an Ethanol Fermentation Process. Ind. Eng. Chem. Res. 40: 2876.<br />

Wang LJ, Sun DW (2003). Recent developments in numerical modelling<br />

of heating and cooling processes in the food industry–A review.<br />

Trends in Food Sci. Technol. 14(10): 408-423.<br />

Yan D, Huang Y, Lacey RE (1998). Assessment of principal component<br />

neural networks for extraction of electrographic textural features in<br />

meat attribute prediction, presented at the 1998 ASAE Annual<br />

International Meeting, Paper No: 983018 ASAE, 2950 Niles Road, St<br />

Joseph, MI 49085–9659, USA.<br />

Yuzgec U, Becerikli Y, Turker M (2006). Nonlinear predictive control of<br />

a drying process <strong>using</strong> genetic algorithms. ISA Trans. 45(4): 589-602.<br />

Yüzgeç U, Türker M, Becerikli Y (2004). Modeling of batch fluidized bed<br />

drying of baker yeast for cylindrical granules. IEEE Conference on<br />

Mechatronics, ICM 2004, Istanbul, Turkey: pp. 7-12.<br />

Yüzgeç U, Türker M, Hocalar A (2009). On-line evolutionary<br />

optimization of an industrial fed-batch yeast fermentation process.<br />

ISA Trans. 48(1): 79-92.<br />

Zadeh LA (1975). The concept of a linguistic variable and its application<br />

to approximate reasoning. Information Sci. 8: p. 199.<br />

Zhang J (2005). Modeling and optimal control of batch processes <strong>using</strong><br />

recurrent neuro-fuzzy networks. IEEE Trans. Fuzzy Syst. 13(4): 417-<br />

27.<br />

Zuo K, Wu WT (2000). Semi-real-time optimization and control of a fedbatch<br />

fermentation system. Comput Chem. Eng 24(2–7): 1105-1109.


African Journal of Biotechnology Vol. 10(72), pp. 16128-16137, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1456<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Maize defensin ZmDEF1 is involved in plant response<br />

to fungal phytopathogens<br />

Baosheng Wang, Jingjuan Yu, Dengyun Zhu and Qian Zhao*<br />

State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing 100193,<br />

P. R. China.<br />

Accepted 21 September, 2011<br />

A seed-specific cDNA Zea mays defensin 1 (ZmDEF1), which encodes a novel plant defensin, was<br />

isolated <strong>from</strong> maize (Zea mays L. cv. NongDa108). ZmDEF1 contains a predicted signal peptide of 31<br />

amino acids at the N-terminus domain and a mature peptide of 49 amino acids with a calculated<br />

molecular mass of 5.4 kDa. Expression data demonstrated that this gene is expressed specially in<br />

immature and mature seeds. In contrast to defensins <strong>from</strong> other plant species, the expression of<br />

ZmDEF1 cannot be detected in seedlings, even under induction of methyl jasmonate (MeJA) and<br />

abscisic acid (ABA). The recombinant ZmDEF1 displays an inhibitive activity against the fungal<br />

pathogen, Phytophthora parasitica var. nicotianae. Ectopic expression of the ZmDEF1 gene under the<br />

control of the cauliflower mosaic virus (CaMV) 35S promoter conferred enhanced tolerance against P.<br />

parasitica in transgenic tobacco plants.<br />

Key words: Antifungal peptides, Phytophthora parasitica, plant defensin, seed specific, transgenic tobacco.<br />

INTRODUCTION<br />

Plant defensins are a family of cysteine-rich peptides with<br />

a specific three-dimensional structure stabilized by four<br />

intramolecular disulfide bonds (García-Olmedo et al.,<br />

1998; Thomma et al., 2002). These small proteins are<br />

comprised 45 to 54 amino acids and found in many<br />

monocotyledonous and dicotyledonous plants (Meyer et<br />

al., 1996), including wheat (Koike et al., 2002), barley<br />

(Mendez et al., 1990), spinach (Segura et al., 1998), pea<br />

(Almeida et al., 2000), radish (Terras et al., 1992) and<br />

sunflower (Urdangarin et al., 2000). Plant defensins were<br />

isolated first <strong>from</strong> seeds (Thomma et al., 2002), but have<br />

also been identified in other tissues including leaves<br />

(Kragh et al., 1995), pods (Chiang and Hadwiger, 1991),<br />

tubers (Moreno et al., 1994), fruit (Aluru et al., 1999),<br />

roots (Sharma and Lönneborg, 1996), bark (Wisniewski<br />

et al., 2003) and floral tissues (Gu et al., 1992). Plant<br />

defensins can be divided into two major classes<br />

according to the structure of the precursor proteins<br />

*Corresponding author. E-mail: zhaoqian@cau.edu.cn. Tel: +86-<br />

10-62733333. Fax: +86-10-62732012.<br />

Abbreviations: MeJA, Methyl jasmonate; ABA, abscisic acid.<br />

predicted <strong>from</strong> cDNA clones (Lay et al., 2003). The<br />

precursor proteins of Class I are composed of an<br />

endoplasmic reticulum (ER) signal sequence and a<br />

mature defensin domain. The Class II defensins are<br />

having larger precursors with C-terminal prodomains of<br />

about 33 amino acids. To date, these Class II defensins<br />

have only been found in solanaceous species (Milligan et<br />

al., 1995; Brandstadter et al., 1996).<br />

Most plant defensins exhibit antifungal activity against<br />

various plant pathogens, especially a broad range of<br />

fungi (Broekaert et al., 1997; Osborn et al., 1995). It is<br />

generally accepted that plant defensins act at the level of<br />

the plasma membrane, similar to many other antimicrobial<br />

peptides. Radish seed antimicrobial protein 2 (Rs-<br />

AMP2) was shown to bind to the sphingolipid glucosylceramides<br />

of fungal membranes, ca<strong>using</strong> inhibition of<br />

fungal growth by membrane permeabilization (Thevissen<br />

et al., 1996; Mello et al., 2011). However, the precise<br />

mechanism of protection for most defensins remains<br />

unclear. To date, plant defensins have been transformed<br />

into several plants to enhance resistance to agriculture<br />

pathogens. Constitutive expression of Medicago sativa<br />

defensin (alfAFP) in potato clearly enhanced resistance<br />

of potato plants to the fungus Verticillium dahliae (Gao et<br />

al., 2000). Transgenic tobacco constitutively expressing


the radish defensin Rs-AFP2 showed a sevenfold<br />

reduction in lesions of the untransformed plants upon<br />

infection with the fungal leaf pathogen Alternaria longipes<br />

(Terras et al., 1995).<br />

We report here on the isolation and characterization of<br />

ZmDEF1, which encodes a defensin <strong>from</strong> Zea mays. The<br />

recombinant ZmDEF1 protein, expressed in the yeast,<br />

showed in vitro antifungal activity, and ectopic expression<br />

of the ZmDEF1 gene in tobacco conferred enhanced<br />

tolerance against Phytophthora parasitica. These results<br />

indicate that ZmDEF1 is possibly involved in fungi<br />

resistance.<br />

MATERIALS AND METHODS<br />

Plant materials and fungal strains<br />

Z. mays L. cv. NongDa108 was provided by Professor Qi-Feng Xu,<br />

China Agriculture University. Nicotiana tabacum var. Xanthi nc. was<br />

used for transformation. Fungal strain P. parasitica var. nicotianae<br />

was provided by Professor Yi Shi, Tobacco Research Institute of<br />

Chinese Academy Agricultural Sciences.<br />

Cloning of the ZmDEF1 gene<br />

RNA was isolated <strong>from</strong> Z. mays seeds by TRIzol method according<br />

the instructions (Invitrogen, USA) and treated with DNase I enzyme<br />

(TaKaRa, Japan). A 50 µL reverse transcription reaction was<br />

prepared consisting of 2 µg total RNA, 1 × reverse transcription<br />

buffer, 1 mM oligo dT18 primer, 1 mM dNTP, 2 U RNasin and 2 U M-<br />

MLV. The reaction was incubated for 60 min at 42°C prior to PCR<br />

reactions. A sense primer, Def1 [5′-GATGGCKCYGTCTCGWCG-<br />

3′], and an antisense primer, Def2 [5′-<br />

ACTAGCAKAYCTTCTTGCAGA-3′] were designed based on<br />

nucleotide sequence of the Triticum aestivum defensin (GenBank<br />

accession number AB089942). Def1 and Def2 were used in PCR<br />

amplification with 1 μL cDNA reaction mixture earlier obtained as<br />

template. Amplification conditions were: 95°C pre-denaturation for 5<br />

min, 30 cycles: 95°C for 1 min, 51°C for 1 min and 72°C for 1 min,<br />

then 10 min at 72°C. The PCR products were recovered <strong>from</strong> 0.8%<br />

agarose gel. The purified fragment was cloned into pMD 18-T<br />

vector (TaKaRa, Japan), named p18T-ZmDEF and the nucleotide<br />

sequence of the cDNA insert was determined by sequencing<br />

(Sangon, China).<br />

Treatments of seedlings with MeJA and ABA<br />

Maize seeds were preconditioned in sterile distilled water for two<br />

days in darkness at 28°C and then grown in an artificial climate box<br />

under a white fluorescent lamp on a 16 h-light/8 h-dark cycle at<br />

27°C. Maize seedlings with three leaves were sprayed with 100μM<br />

MeJA (Sigma, USA) or H2O as control. For the ABA treatments, the<br />

seedlings were placed in flasks filled with distilled water (control) or<br />

100 μM ABA (Sigma, USA) for 6 h. ABA and MeJA were added as<br />

stock (100 mM to give a final concentration of 100 μM) in ethanol,<br />

and an equal amount of ethanol was added to a control sample.<br />

After treatments, the second fully expanded leaves were picked for<br />

total RNA extraction and RT-PCR.<br />

Expression of ZmDEF1 in Pichia pastoris<br />

The coding sequence of the ZmDEF1 mature peptide was obtained<br />

by PCR amplification with a forward primer D5 incorporating an<br />

Wang et al. 16129<br />

EcoRI site (5′-CGGAATTCATGAGGCACTGCCTGTCGCAGAG-3′)<br />

and a reverse primer D3 with a NotI site (5′-<br />

TAGCGGCCGCATCTCAGTGGTGG-3′). The amplified product was<br />

digested with EcoRI/NotI and ligated into EcoRI and NotI sites of<br />

the vector pPIC9K (Invitrogen USA). This expression plasmid was<br />

named pPIC9K-ZmD. The identity of the insert was verified by<br />

sequencing. The vector pPIC9K-ZmD was linearized with SacI and<br />

introduced into the P. pastoris strain GS115 according to the<br />

manufacturer’s instructions (Invitrogen, USA). P. pastoris cells<br />

containing ZmEDF1 were grown at 30°C for 16 h in 100 ml BMGY<br />

medium (2% Peptone, 1% yeast extract, 1.34% yeast nitrogen base<br />

without amino Acids (YNB), 0.5% Biotin, 1% glycerol and 100 mM<br />

potassium phosphate). The supernatant was removed by<br />

centrifugation at 10,000 × g for 5 min, and the pellet was resuspended<br />

in 1000ml BMMY (2% Peptone, 1% yeast extract,<br />

1.34% YNB, 0.5% Biotin, 0.5% Methanol and 100 mM potassium<br />

phosphate) medium, followed by shaking at 30°C for 120 h.<br />

Methanol was added to a final concentration of 0.5% and aliquots<br />

were collected for ZmDEF1 content analysis every 12 h.<br />

Tricine-SDS-PAGE and Western blot<br />

Crude protein was precipitated by adding acetone to a final<br />

concentration of 20%, then homogenized in 3% SDS, 1.5%<br />

mercaptoethanol, 30% glycerol, 0.01% coomassie blue G-250, 30<br />

mM Tris-HCl (pH 7.0), and heated at 100°C for 5 min. Twenty<br />

microliters of total protein were loaded into each lane and separated<br />

by tricine sodium dodecyl sulfate polyacrylamide gel electrophoresis.<br />

The electrophoresis was carried out according to the<br />

method of Schägger and Von Jagow (1987) and <strong>using</strong> a Bio-Rad<br />

Mini Electrophoresis system per the manufacturer’s instructions.<br />

After electrophoresis, the separated proteins were transferred onto<br />

nitrocellulose membranes <strong>using</strong> an Electro Trans-blot apparatus<br />

(Bio-Rad, USA). The nitrocellulose membranes were blocked for 30<br />

min in TBS (20 mM Tris-HCl, pH 7.5, 150 mM NaCl) with 5% BSA.<br />

The blots were incubated for 1 h with mouse anti-His Tag antibody<br />

in TBS containing 5% BSA, and then subsequently with alkalinephosphatase-conjugated<br />

goat anti-mouse IgG antibody (Promega,<br />

USA) for 1 h. The color reaction was performed on the blots <strong>using</strong><br />

nitroblue tetrazolium (NBT) and 5-bromo-4-chloro-3-indolyl<br />

phosphate (BCIP) in a buffer containing 0.1 M NaHCO3 and 1.0 mM<br />

MgCl2, pH 9.8.<br />

Purification of ZmDEF1<br />

A three day growth culture was harvested by centrifugation at<br />

14,000 × g for 30 min, the supernatant was collected and protein<br />

content precipitated by adding ammonium sulfate at a rate of 1<br />

g/min to 90% of saturation. The individual precipitated fractions<br />

were collected by centrifugation at 14,000 × g for 30 min and<br />

dissolved in 10 ml of PBS. The majority of ammonium sulfate was<br />

removed by dialyzation for 24 h. Purification of the fusion protein,<br />

tagged with hexa-His at the C-terminus, was carried out following<br />

the Ni-NTA purification system for proteins tagged with histidines<br />

(Invitrogen, USA). The fusion proteins were eluted by imidazolecontaining<br />

buffer and dialyzed against 100 mM phosphate buffer<br />

(pH 7.5), and then stored at -20°C until used for antifungal activity<br />

assay.<br />

In vitro antifungal activity assays<br />

P. parasitica var. nicotianae was cultured on potato dextrose agar<br />

(PDA) medium plates at 25°C for 8 days. The pathogen was then<br />

inoculated into millet medium and placed at 28°C for 20 days and<br />

the resulting mycelium was rinsed with sterile water and then


16130 Afr. J. Biotechnol.<br />

Figure 1. Nucleotide and deduced amino acid sequences of ZmDEF1 cDNA. The deduced amino acid sequence is shown below the<br />

cDNA sequence. The putative signal peptide is underlined. The putative translation initiation and stop codons are in bold.<br />

filtered with pledget. The spore suspensions were added into unset<br />

PDA medium and then a 5 mm disc was removed <strong>from</strong> the plate.<br />

Solution of the fusion ZmDEF1 was added into the 5 mm hole, with<br />

PBS used as a negative control. The plates were placed in the dark<br />

at 25°C for three days.<br />

Generation of tobacco lines expressing ZmDEF1<br />

Plasmid p18T-ZmDEF was digested with HincII and SacI and the<br />

insert was cloned into the pROK219. The CaMV 35S::ZmDEF1<br />

expression cassette was digested with HindIII and EcoRI and<br />

cloned into the pBI121 binary vector and sequenced. The LBA4404<br />

strain of Agrobacterium tumefaciens was used to transform tobacco<br />

<strong>using</strong> the leaf disk transformation method (Horsch et al., 1985).<br />

After regeneration on kanamycin selective medium, transformed<br />

tobacco lines were checked for the presence of the transgene by<br />

PCR.<br />

Northern analysis<br />

Total RNA was isolated <strong>from</strong> shoot tissue of tobacco <strong>using</strong> TRIzol<br />

reagent (Invitrogen, USA). 20 µg of total RNA was denatured and<br />

loaded into a 1.6% formaldehyde-agarose gel, then subsequently<br />

transferred onto a nylon membrane. Equal loading of the samples<br />

was confirmed by ethidium bromide staining. The membrane was<br />

hybridized to a 32 P-labeled probe in a hybridization solution<br />

containing 0.5 M Na2HPO4 pH 7.2, 1 mM EDTA, 1% BSA and 7%<br />

SDS at 65°C overnight. The template for the probe was a full-length<br />

245 bp ZmDEF1 cDNA. After hybridization, the filterate was washed<br />

twice with 2 × SSC (1 × SSC is 0.15 M NaCl, 15 mM sodium citrate)<br />

containing 0.1% SDS at 65°C for 20 min each, once with 0.2 × SSC<br />

containing 0.1% SDS at 65°C for 10 min, and then exposed to X-ray<br />

film at -70°C for 24 h.<br />

Detached leaf bioassay<br />

For the leaf bioassay, detached leaves <strong>from</strong> mature transgenic and<br />

control plants (transformed with an empty vector) were placed in<br />

Petri dishes containing wet filter papers. The leaves were wounded<br />

by gently pricking the abaxial side of the leaves several times with a<br />

sterile needle. Then 20 μL of fungal suspension was introduced to<br />

the wounded area and incubated at 28°C for 10 days.<br />

Infection of tobacco plants with blast fungus<br />

The seeds of T1 transgenic tobacco were germinated on MS<br />

medium containing 100 µg/ml kanamycin. The resistant plants were<br />

planted in pots containing plant growth medium and grown in the<br />

greenhouse at 25 to 28°C and relative humidity ranging <strong>from</strong> 30 to<br />

60% under natural daylight for approximately two months. Millet<br />

with P. parasitica was embedded near the tobacco roots in the pots.<br />

The inoculated plants were placed at 30°C with 100% relative<br />

humidity for 14 days.<br />

RESULTS<br />

Isolation and analysis of the ZmDEF1 gene<br />

The ZmDEF1 cDNA isolated <strong>from</strong> Z. mays was 245 bp in<br />

length, consisting of a single open reading frame. The<br />

ORF encodes a polypeptide of 80 amino acids consisting<br />

of a predicted signal peptide of 31 amino acids at the Nterminus<br />

domain and a mature peptide of 49 amino acids<br />

with a calculated molecular mass of 5.4 kDa and a pI of<br />

8.61. The nucleotide and predicted amino acid sequence<br />

of ZmDEF1 is shown in Figure 1. Several plant defensins<br />

of previous studies were compared with ZmDEF1 to<br />

confer the cleavage site between the signal peptide and<br />

mature ZmDEF1 (data not shown). The presence of the<br />

signal peptide in the primary translation product<br />

suggested that ZmDEF1 is destined to the cell wall or the<br />

vacuole, locations where many defense-related proteins<br />

are found.<br />

The alignment of ZmDEF1 with other plant defensins<br />

is shown in Figure 2. ZmDEF1 shares significant identity<br />

with Tad1 (63%), EGAD1 (59%) and SD2 (59%), but low<br />

identity with Nad1 (36%), alfAFP (35%), Rs-AFP2 (30%),<br />

Dm-AMP1 (28%) and Psd1 (26%). ZmDEF1 contained<br />

the well conserved eight cysteine residues, which play an<br />

important role in protein stabilization (Figure 2). Other<br />

conserved residues such as Ser8, an aromatic residue at<br />

position 11, Gly13, Glu29 and Gly34 were also found


Wang et al. 16131<br />

Figure 2. Amino acid sequence alignment of mature plant defensins <strong>from</strong> several plants. Comparison of the<br />

deduced mature ZmDEF1 amino acid sequence with those of other plant defensins. Conserved residues are<br />

presented in black boxes, partially conserved residues in gray boxes, while the defensin consensus sequence is<br />

shown below the alignment. The disulfide bond connectivities are shown below the consensus sequence by<br />

connecting lines. The sequences were aligned <strong>using</strong> the CLUSTALW2 online<br />

(http://www.ebi.ac.uk/Tools/msa/clustalw2/).<br />

Figure 3. RT-PCR expression analysis of ZmDEF1 in different organs of Zea mays. The specific products of ZmDEF1 are detected<br />

in immature (IS) and mature seeds (MS), but not in roots (R), stems (S), leaves (L) and flowers (F). The tubulin gene exhibiting<br />

constitutive expression was used as a control.<br />

in the sequence (Figure 2). According to the analysis of<br />

sequence performed in this work, ZmDEF1 can be<br />

grouped with the Class I defensins.<br />

In addition, to analyze the ZmDEF1 expression<br />

pattern, RT-PCR was performed with total RNA samples<br />

extracted <strong>from</strong> different maize tissues. The data show<br />

that ZmDEF1 transcripts were only detected in immature<br />

and mature seeds, but not in roots, stems, leaves or<br />

flowers (Figure 3). Furthermore, the result that no<br />

ZmDEF1 transcripts could be detected in seedlings even<br />

under induction by MeJa and ABA (data not shown),<br />

indicates the ZmDEF1 may play a defensive role only<br />

during seed development.<br />

Expression of ZmDEF1 in P. pastoris<br />

In the P. pastoris expression system, a strain that<br />

contains multiple integrated copies of an expression<br />

cassette can sometimes yield more heterologous protein<br />

than single-copy strains (Cereghino and Cregg, 2000).<br />

For screening His + recombinants with multiple inserts, all<br />

the clones were incubated in 96 well microtiter plate for<br />

three times passage until they were all at the same cell<br />

density. The cultures were then spotted on YPD plates<br />

containing G418 at grads concentration (Figure 4). The<br />

recombinants that demonstrated resistance at 4.0 mg/ml<br />

G418 were analyzed for the presence of ZmDEF1 by<br />

PCR. Six recombinants were recovered <strong>from</strong> 224<br />

colonies obtained originally.<br />

Antifungal activity assays in vitro<br />

In order to study the antifungal activity of ZmDEF1, the<br />

Pichia Expression Kit (invitrogen, USA) was used.<br />

ZmDEF1 was produced as a fusion protein with a 6×His<br />

tag at C-terminal. The total size of the predicted fusion<br />

protein is 7.6 kDa. This roughly corresponds to the<br />

molecular size of the expressed ZmDEF1 detected by<br />

Western blot (Figure 5). The fusion protein expression in<br />

Pichia was detected every 12 h. The accumulation of


16132 Afr. J. Biotechnol.<br />

Figure 4. Screening for yeast recombinants containing multiple copies of ZmDEF1. The cultures were grown on YPD plates<br />

containing G418 at grads concentration. A to F shows the G418 final concentration at 0.25, 0.5, 1.0, 2.0, 3.0 and 4.0 mg/ml,<br />

respectively.<br />

Figure 5. Immunoblot detection of ZmDEF1 expression in P. pastoris. Detection of the fusion protein ZmDEF1 expressed in P.<br />

pastoris <strong>using</strong> the anti-His antibody. Denaturing Tricine-SDS-PAGE followed by immunoblotting was performed on the total protein<br />

extracts <strong>from</strong> 1 ml supernatant. P. pastoris/pPIC9K was used as a negative control. Pre-stained protein standards (MW) were<br />

included for estimation of the molecular mass (kDa). The accumulation of ZmDEF1 was detectable after 24 h induction, reaching a<br />

maximum after 60 h induction.


ZmDEF1 was detectable after 24 h, reaching a maximum<br />

after 60 h and maintained up to the 96 h. After 108 h, the<br />

level of ZmDEF1 expression was reduced (Figure 5).<br />

Thus, a three day growth culture was harvested and<br />

purified to yield the maximum concentration. The yield of<br />

the purified fusion protein was approximately 258 μg/ml<br />

of original culture. The purified fusion protein was used to<br />

test activity against P. parasitica. Compared to the<br />

controls, the expressed ZmDEF1 showed an activity<br />

against spores germination and hyphal growth of the<br />

fungal pathogen, P. parasitica (Figure 6).<br />

Ectopic expression of ZmDEF1 in tobacco confers<br />

resistance to P. parasitica<br />

Transgenic tobacco plants were generated via<br />

Agrobacterium-mediated transformation, <strong>using</strong> the neomycin<br />

phosphotransferase II gene (NPTII) as a selectable<br />

marker. Transgenic tobacco lines were randomly selected<br />

and screened by PCR, <strong>using</strong> primers specific to ZmDEF1<br />

gene. The ZmDEF1 transcript in seedlings of transgenic<br />

plants was detected by RNA gel blot. The results show<br />

that exogenous ZmDEF1 gene was expressed in all<br />

examined transgenic plants, and was particularly highly<br />

expressed in two lines, oxZmDEF1-1 and oxZmDEF1-8<br />

(Figure 7), while phenotypic abnormalities were not<br />

observed in any transgenic lines as compared to wild-<br />

Figure 6. Antifungal activity of ZmDEF1 on P. parasitica. The<br />

spores of P. parasitica were incubated on PDA plates with a crude<br />

extract of the fusion ZmDEF1 protein for 3 days. PBS was utilized<br />

as a negative control. Bar =1 cm.<br />

Wang et al. 16133<br />

type.<br />

We also examined the effects of the overexpression of<br />

ZmDEF1 on resistance of the transgenic plants to the<br />

fungal pathogen, P. parasitica var. nicotianae. Disease<br />

resistance was evaluated on the T1 transgenic lines<br />

oxZmDEF1-1 and oxZmDEF1-8, as well as the control<br />

line, which transformed with an empty vector. Disease<br />

symptoms appeared on detached leaves of the control<br />

plants in the form of lesions 5 to 6 days after inoculation,<br />

and consequently lead to the appearance of yellowish<br />

necrotic lesions 10 days after inoculation. On the<br />

contrary, symptoms were not detected on leaves of<br />

transgenic lines (Figure 8). Subsequently, a whole plant<br />

assay was carried out. The disease symptoms started to<br />

appear on the control plants at 6 days after infection, but<br />

no symptoms were observed on the transgenic plants. By<br />

8 days after infection, the control plants had severe<br />

disease symptoms such as leaf wilting and stem rot, and<br />

eventually died within 14 days (Figure 9). However, both<br />

of the transgenic lines remained relatively healthy with<br />

only a slight yellowing of the bottom leaves that had<br />

contact with the infecting fungus. We also observed a<br />

difference in the severity of tissue damage between<br />

control and ZmDEF1 transgenic plants. The longitudinal<br />

section of stem showed that all the tissues of control<br />

plants, including epidermis, cortex and pith, were black<br />

and rotten, while the corresponding part of transgenic<br />

plants remained green (Figure 9I and J).


16134 Afr. J. Biotechnol.<br />

Figure 7. Northern blot analysis of ZmDEF1 in leaves of transgenic tobacco. Total RNA was hybridized with a radioactively<br />

labeled ZmDEF1 probe. 1, 8, 9, 12: transgenic tobacco lines oxZmDEF1-1, oxZmDEF1-8, oxZmDEF1-9 and oxZmDEF1-12.<br />

EV, regenerated plants transformed with plasmid pBI121. WT, wild type.<br />

Figure 8. Fungal resistance test of detached leaves of transgenic tobacco expressing ZmDEF1. The results were photographed<br />

ten days after inoculation with Phytophthora palmivora. EV, the T1 plants transformed with plasmid pBI121.<br />

DISCUSSION<br />

Plants have developed various defense mechanisms<br />

against pathogen attack. Defensins are one class of<br />

antimicrobial proteins that fight off the foreign pathogens<br />

(García-Olmedo et al., 1998). All plant defensins descryibed<br />

to date have a signal peptide marking the protein for<br />

extracellular secretion (Thomma et al., 2002). In the<br />

present study, we cloned a cDNA encoding a novel plant<br />

defensin ZmDEF1, <strong>from</strong> Z. mays germinated seeds. The<br />

predicted protein would have a 31 amino acid signal<br />

peptide (Figure 1). The mature peptide of ZmDEF1<br />

contains all the conserved residues reported for plant<br />

defensins (Lay and Anderson, 2005). Therefore, ZmDEF1<br />

is likely a novel member of defensins family.<br />

The majority of plants defensin genes are expressed in<br />

the seeds of various monocot and dicot species<br />

(Bohlmann, 1994; Broekaert et al., 1997). They have<br />

been shown to be present as part of normal development<br />

or maturation, perhaps as a static defense against<br />

pathogens (Thomma et al., 2002). Balandin et al. (2005)<br />

found that the transcripts of ZmESR-6 were restricted to<br />

the embryo surrounding region (ESR) of the kernel, but<br />

the protein accumulated in the placentochalaza-cells at<br />

the grain filling phase. The function of ZmESR-6 was<br />

thought to protect the germinating kernel <strong>from</strong> pathogens.<br />

Similar to ZmESR-6, the ZmDEF1 mRNA preferentially<br />

accumulates in immature and mature seeds (Figure 3),<br />

suggesting a defensive role in protecting kernels during<br />

seed development. Jasmonate has been shown to be an<br />

effective inducer of other defensins (Epple et al., 1997;<br />

Thomma et al., 1998). However, the expression of<br />

ZmDEF1 could not be induced in seedlings after treatment<br />

with ABA or MeJa (data not shown). This result is<br />

consistent with a specialized role of ZmDEF1.<br />

More also, we chose the methylotrophic yeast P.<br />

pastoris expression system to study the antifungal activity<br />

of ZmDEF1 in vitro. A major advantage of P. pastoris,


Wang et al. 16135<br />

Figure 9. Tobacco plants challenged with Black Shank P. parasitica. Pictures were taken eight days after P. palmivora<br />

inoculation. a, c, e, g and i show transgenic plants, while b, d, f, h and j, show controls, the T1 plants transformed with<br />

plasmid pBI121. Compared with control, the transgenic tobacco plants were still green after pathogen infection.<br />

over bacterial expression systems, is that the yeast has<br />

the potential to perform many of the post-translational<br />

modifications typically associated with higher eukaryotes,<br />

such as the processing of signal sequences, folding,<br />

disulfide bridge formation, certain types of lipid addition<br />

and glycosylation (Cereghino and Cregg, 2000). Eight<br />

cysteine residues present in ZmDEF1 mature protein play<br />

an important role in protein stabilization by formation<br />

multiple disulfide bridges. P. pastoris is believed to be<br />

more effective in promoting disulfide bonding than the


16136 Afr. J. Biotechnol.<br />

Escherichia coli (Cregg et al., 1993). In our previous<br />

work, we found that the fusion ZmDEF1 expressed <strong>using</strong><br />

a prokaryotic system showed no antifungal activity (data<br />

not shown) possibility due to improper folding of the<br />

recombinant protein. However, the recombinant ZmDEF1<br />

peptide created <strong>using</strong> the P. pastoris expression system<br />

exhibits an inhibitory activity on P. parasitica growth<br />

(Figure 6).<br />

Due to an alarming increase of resistance of<br />

microorganisms to classical antibiotics, the introduction<br />

and expression of antimicrobial peptides like plant<br />

defensins in crops is emerging as an intriguing<br />

biotechnological application for enhancing disease<br />

resistance (Punja, 2001; Osusky et al., 2000; Jha and<br />

Chattoo, 2010). In this work, a new plant defensin gene,<br />

ZmDEF1, was introduced into tobacco by Agrobacteriummediated<br />

transformation. Results indicate that<br />

constitutive expression of the ZmDEF1 gene under the<br />

control of the CaMV 35S promoter in tobacco results in<br />

enhanced resistance against P. parasitica (Figures 8 and<br />

9). Thus, the antifungal activity of the defensin ZmDEF1<br />

and its availability for genetic engineering should make it<br />

useful as gene source for engineering transgenic plants<br />

resistant against phytopathogenic fungi.<br />

ACKNOWLEDEGMENTS<br />

This work was supported by National Natural Science<br />

Foundation (Grant No. 31171258) and the projects (No.<br />

2008ZX08009-003 and 2008ZX08003-002) <strong>from</strong> the<br />

Ministry of Agriculture of China for Transgenic Research.<br />

REFERENCES<br />

Almeida MS, Cabral KM, Zingali RB, Kurtenbach E (2000).<br />

Characterization of Two Novel Defense Peptides <strong>from</strong> Pea (Pisum<br />

sativum) Seeds. Arch. Biochem. Biophys. 378: 278-286.<br />

Aluru M, Curry J, O’Connell MA (1999). Nucleotide sequence of a<br />

defensin or-thionin-like gene (accession no. AF128239) <strong>from</strong><br />

habanera chili. Plant Physiol. 120: 633.<br />

Balandin M, Royo J, Gomez E, Muniz LM, Molina A, Hueros G (2005). A<br />

protective role for the embryo surrounding region of the maize<br />

endosperm, as evidenced by the characterization of ZmESR-6, a<br />

defensin gene specifically expressed in this region. Plant Mol. Biol.<br />

58: 269-282.<br />

Bohlmann H (1994). The role of thionins in plant protection. Crit. Rev.<br />

Plant. Sci. 13: 1-16.<br />

Brandstadter J, Rossbach C, Theres K (1996). Expression of genes for<br />

a defensin and a proteinase inhibitor in specific areas of the shoot<br />

apex and the developing flower in tomato. Mol. Gen. Genet. 252:<br />

146-154.<br />

Broekaert WF, Cammue BP, De Bolle MF, Thevissen K, De Samblanx<br />

GW, Osborn RW (1997). Antimicrobial Peptides <strong>from</strong> Plants. Crit.<br />

Rev. Plant. Sci. 16: 297-323.<br />

Cereghino JL, Cregg JM (2000). Heterologous protein expression in the<br />

methylotrophic yeast Pichia pastoris. FEMS Microbiol. Rev. 24: 45-<br />

66.<br />

Chiang CC, Hadwiger LA (1991). The Fusarium solani-induced<br />

expression of a pea gene family encoding high cysteine content<br />

proteins. Mol. Plant-Microbe. Interact. 4: 324-331.<br />

Cregg JM, Vedvick TS, Raschke WC (1993). Recent advances in the<br />

expression of foreign genes in Pichia pastoris. Biotechnology, 11:<br />

905-910.<br />

Epplea P, Apela K, Bohlmann H (1997). ESTs reveal a multigene family<br />

for plant defensins in Arabidopsis thaliana. FEBS Lett. 400: 168-172.<br />

Gao AG, Hakimi SM, Mittanck CA, Wu Y, Woerner BM, Stark DM, Shah<br />

DM, Liang JH, Rommens CM (2000). Fungal pathogen protection in<br />

potato by expression of a plant defensin peptide. Nat. Biotechnol. 18:<br />

1307-1310.<br />

García-Olmedo F, Molina A, Alamillo JM, Rodríguez-Palenzuéla P<br />

(1998). Plant defense peptides. Biopolymers, 47: 479-491.<br />

Gu Q, Kawata EE, Morse MJ, Wu HM, Cheung AY (1992). A flowerspecific<br />

cDNA encoding a novel thionin in tobacco. Mol. Gen. Genet.<br />

234: 89-96.<br />

Horsch RB, Fry JE, Hoffmann NL, Eichholtz D, Rogers SG, Fraley RT<br />

(1985). A Simple and General Method for Transferring Genes into<br />

Plants. Science, 22 : 1229-1231.<br />

Jha S, Chattoo BB (2010). Expression of a plant defensin in rice confers<br />

resistance to fungal phytopathogens. Trans. Res. 19: 373-384.<br />

Koike M, Okamoto T, Tsuda S, Imai R (2002). A novel plant defensin-like<br />

gene of winter wheat is specifically induced during cold acclimation.<br />

Biochem. Biophys. Res. Commun. 298: 46-53.<br />

Kragh KM, Nielsen JE, Nielsen KK, Dreboldt S, Mikkelsen JD (1995).<br />

Characterization and localization of new antifungal cysteine-rich<br />

proteins <strong>from</strong> Beta vulgaris. Mol. Plant-Microbe. Interact. 8: 424-434.<br />

Lay FT, Anderson MA (2005). Defensins – Components of the Innate<br />

Immune System in Plants. Curr. Protein Pept. Sci. 6: 85-101.<br />

Lay FT, Brugliera F, Anderson MA (2003). Isolation and properties of<br />

floral defensins <strong>from</strong> ornamental tobacco and petunia. Plant Physiol.<br />

131: 1283-1293.<br />

Mello EO, Ribeiro SF, Carvalho AO, Santos IS, Cunha MD, Santa-<br />

Catarina C, Gomes VM (2011). Antifungal activity of PvD1 defensin<br />

involves plasma membrane permeabilization, inhibition of medium<br />

acidification, and induction of ROS in fungi cells. Curr. Microbiol. 62:<br />

1209-1217.<br />

Mendez E, Moreno A, Colilla F, Pelaea F, Limas GG, Mendez R, Soriano<br />

F, Salinas M, Haro CD (1990). Primary structure and inhibition of<br />

protein synthesis in eukaryotic cell-free system of a novel thionin,<br />

gamma-hordothionin, <strong>from</strong> barley endosperm. Eur. J. Biochem. 194:<br />

533-539.<br />

Meyer B, Houlne G, Pozueta-Romero J, Shantz ML, Shantz R (1996).<br />

Fruit-specific expression of a defensin-type gene family in bell<br />

pepper. Plant Physiol. 112: 615–622.<br />

Milligan SB, Gasser CS (1995). Nature and regulation of pistilexpressed<br />

genes in tomato. Plant Mol. Biol. 28: 691-711.<br />

Moreno M, Segura A, García-Olmedo F (1994). Pseudothionin-St1, a<br />

potato peptide active against potato pathogens. Eur. J. Biochem. 223:<br />

135-139.<br />

Osborn RW, De Samblanx GW, Thevissen K, Goderis I, Torrekens S,<br />

Van Leuven F, Attenborough S, Rees SB, Broekaert WF (1995).<br />

Isolation and characterisation of plant defensins <strong>from</strong> seeds of<br />

Asteraceae, Fabaceae, Hippocastanaceae and Saxifragaceae. FEBS<br />

Lett. 368: 257-262.<br />

Osusky M, Zhou G, Osuska L, Hancock RE, Kay WW, Misra S (2000).<br />

Transgenic plants expressing cationic peptide chimeras exhibit<br />

broad-spectrum resistance to phytopathogens. Nat. Biotechnol. 18:<br />

1162–1166.<br />

Punja ZK (2001). Genetic engineering of plants to enhance resistance<br />

to fungal pathogens – a review of progress and future prospects.<br />

Can. J. Plant Pathol. 23: 216–235.<br />

Schägger H, Von Jagow G (1987). Tricine-sodium dodecyl sulfatepolyacrylamide<br />

gel electrophoresis for the separation of proteins in<br />

the range <strong>from</strong> 1 to 100 kDa. Anal. Biochem. 166: 368-379.<br />

Segura A, Moreno M, Molina A, García -Olmedo F (1998). Novel<br />

defensin subfamily <strong>from</strong> spinach (Spinacia oleracea). FEBS Lett. 435:<br />

159-162.<br />

Sharma P, Lönneborg A (1996). Isolation and characterization of a<br />

cDNA encoding a plant defensin-like protein <strong>from</strong> roots of Norway<br />

spruce. Plant Mol. Biol. 31: 707-712.<br />

Terras FR, Eggermont K, Kovaleva V, Raikhel NV, Osborn RW, Kester<br />

A, Rees SB, Torrekens S, Van Leuven F, Vanderleyden J, Cammue<br />

BP, Broekaert WF (1995). Small cysteine-rich antifungal proteins <strong>from</strong><br />

radish: their role in host defense. Plant Cell 7: 573-588.<br />

Terras FR, Schoofs HM, De Bolle MF, Van Leuven F, Rees SB,


Vanderleyden J, Cammue BP, Broekaert WF (1992). Analysis of two<br />

novel classes of plant antifungal proteins <strong>from</strong> radish (Raphanus<br />

sativus L.) seeds. J. Biol. Chem. 267: 15301-15309.<br />

Thevissen K, Ghazi A, De Samblanx GW, Brownlee C, Osborn RW,<br />

Broekaert WF (1996). Fungal membrane responses induced by plant<br />

defensins and thionins. J. Biol. Chem. 271: 15018-15025.<br />

Thomma BP, Cammue BP, Thevissen K (2002). Plant defensins. Planta,<br />

216: 193–202.<br />

Thomma BP, Eggermont K, Penninckx IA, Mauch-Mani B, Vogelsang R,<br />

Cammue BP, Broekaert WF (1998). Separate jasmonate-dependent<br />

and salicylate-dependent defense-response pathways in Arabidopsis<br />

are essential for resistance to distinct microbial pathogens. Proc.<br />

Natl. Acad. Sci. USA. 95: 15107-15111.<br />

Wang et al. 16137<br />

Urdangarin MC, Norero NS, Broekaert WF, De la CanaL (2000). A<br />

defensin gene expressed in sunflower inflorescence . Plant Physiol.<br />

Biochem. 38: 253-258.<br />

Wisniewski ME, Bassett CL, Artlip TS, Webb RP, Janisiewicz WJ, Norelli<br />

JL, Goldway M, Droby S (2003). Characterization of a defensin in<br />

bark and fruit tissues of peach and antimicrobial activity of a<br />

recombinant defensin in the yeast, Pichia pastoris. Physiol. Planta.<br />

119: 563-572.


African Journal of Biotechnology Vol. 10(72), pp. 16138-16144, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1994<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Karyotype studies on Tagetes erecta L. and Tagetes<br />

patula L.<br />

Pin Zhang, Li Zeng*, Yan-Xue Su, Xiao-Wen Gong and Xiao-Sha Wang<br />

School of Agriculture and Biology, Shanghai Jiaotong University, Shanghai 200240, China.<br />

Accepted 30 September, 2011<br />

Karyotypes of nine Tagetes erecta L. accessions and three Tagetes patula L. accessions were studied.<br />

The chromosome numbers of T. erecta and T. patula were 2n=2x=24 and 2n=4x=48, respectively. The<br />

karyotype formulae of T. erecta L. ‘Scarletade’ and ‘Perfection Yellow’ are 2n=2x=24=4sm+20m; ‘9901AB’<br />

and ‘Harvest’, 2n=2x=24=2sm+22m; ‘Taishan’, 2n=2x=24=14sm+10m; ‘Marvel’ and ‘Perfection Orange’,<br />

2n=2x=24=24m. The karyotype formulae of T. patula L.: ‘GoldenGate’ and ‘Janie’ are<br />

2n=4x=48=4sm+44m; ‘Little Hero’, 2n=4x=48=48m.<br />

Key words: Tagetes erecta L., Tagetes patula L., chromosome, karyotype.<br />

INTRODUCTION<br />

Tagetes erecta L. and Tagetes patula L. belonged to<br />

composites family. They originated <strong>from</strong> Central America,<br />

mainly distributed in western Mexico and southeastern<br />

Arizona (Robert, 1962). The genus Tagetes (Asteraceae)<br />

contains 56 species, of which only few species were<br />

currently cultivated as horticultural crops. Some<br />

companies, such as, Thompson and Morgan, Pan-<br />

American Seed and SluisGroot etc. cultivate new<br />

cultivars every year. Examples are, ‘Marvel’ line, ‘Taishan’<br />

line of T. erecta L. and ‘Bonanza’ line, ‘Boy’ line of T.<br />

patula L. which have been widely used in the world. Most<br />

of the cultivars were produced in the traditional<br />

hybridization breeding way (Wang, 2003, 2009; Tian et<br />

al., 2007). Besides, some works also have been done on<br />

the breeding of transgenic marigold (Gregorio et al.,<br />

1992; Charles et al., 2001). Nowadays, the species<br />

widely used throughout the world were T. erecta L., T.<br />

patula L. and T. tenuifolia (Soule, 1996). In China, T.<br />

erecta L. and T. patula L. were introduced and widely<br />

cultivated as important garden plants. In addition, the<br />

inflorescence of pigment T. erecta L. flowers were also<br />

ideal materials for extracting lutein. Therefore, it was very<br />

important to study Tagetes plant with their great<br />

economic value.<br />

The plant taxonomy was mainly based upon morpholo-<br />

*Corresponding author. E-mail: zljs@sjtu.edu.cn. Tel: 021-<br />

34206932. Fax: +86 34206943.<br />

gical, cytological, and molecular biological analysis, etc.<br />

As an important means of cytological analysis,<br />

chromosome karyotype analysis has been widely used in<br />

biological genetic variation, systematic evolution or<br />

relationship identification (Zheng et al., 2005; He et al.,<br />

2005; He and Zhang, 2009). Up till now, there have been<br />

massive reports about chromosome karyotype analysis in<br />

Asteraceae plants (Kong, 2000; Yang, 2001; Xie and<br />

Zheng, 2003; Chen, 2008; Zhang et al., 2009). For<br />

instance, Li et al. (2007) studied the karyotype of fourteen<br />

cultivars of cut chrysanthemum, and Zhang et al., (2009)<br />

conducted a cytological study on the genus Syncalathium<br />

(Asteraceae-Lactuceae). But the karyotypes of Tagetes<br />

plants were rarely studied. In our paper, we widely<br />

collected Tagetes species and cultivar materials which<br />

were popular in China for a systematic study on their<br />

chromosome numbers and karyotypes, while related<br />

researches have not been reported. The objective of this<br />

study was to provide cytological information for<br />

systematic classification, breeding and germplasm<br />

resources study.<br />

MATERIALS AND METHODS<br />

This research studied on twelve accessions of genus Tagetes which<br />

were popular in the domestic market, including seven ornamental T.<br />

erecta cultivars, two pigment T. erecta cultivars (T. erecta L.<br />

‘Scarletade’ and ‘9901AB’), three T. patula cultivars (Table1).<br />

All karyotype observations were made <strong>from</strong> root tips. Seeds were<br />

germinated on wet filter paper in Petri dishes at 25°C. Fresh root


Table 1. The source of materials investigated.<br />

Cultivars Source<br />

T. erecta L. ‘Scarletade’ Inner Mongolia Bureau of Parks<br />

T. erecta L.‘9901AB’ Inner Mongolia Bureau of Parks<br />

T. erecta L. ‘Harvest’ Beijing Institute of Landscape and Garden<br />

T. erecta L. ‘Taishan’ Beijing Institute of Landscape and Garden<br />

T. erecta L. ‘Marval’ Beijing Institute of Landscape and Garden<br />

T. erecta L. ‘Perfection Yellow’ Beijing Institute of Landscape and Garden<br />

T. erecta L. ‘Perfection ‘Orange’ Beijing Institute of Landscape and Garden<br />

T. erecta L. ‘Inca Orange’ Beijing Institute of Landscape and Garden<br />

T. erecta L. ‘Inca Yellow’ Beijing Institute of Landscape and Garden<br />

T. patula L. ‘GoldenGate’ Beijing Institute of Landscape and Garden<br />

T. patula L. ‘Little Hero’ Beijing Institute of Landscape and Garden<br />

T .patula L. ‘Janie’ Beijing Institute of Landscape and Garden<br />

Table 2. Parameters of chromosomes of T.erecta and T.patula.<br />

Zhang et al. 16139<br />

Cultivar Karyotype formula A.A.R Lt/St Type Length type As.K(%)<br />

T. erecta L.‘Scarletade’ 2n=2x=4sm+20m 1.5 2.36 1B 2n=4L+8M2+6M1+6S 60.39<br />

T .erecta L.‘9901AB’ 2n=2x=2sm+22m 1.51 2.2 1B 2n=4L+8M2+8M1+4S 60.38<br />

T. erecta L. ‘Harvest’ 2n=2x=6sm+18m 1.66 2.34 1B 2n=4L+6M2+10M1+4S 62.7<br />

T. erecta L.‘Taishan’ 2n=2x=14sm+10m 1.74 2.5 2B 2n=6L+4M2+10M1+4S 64.02<br />

T. erecta L. ‘Marval’ 2n=2x=24m 1.48 2.37 1B 2n=4L+8M2+8M1+4S 59.92<br />

T. patula L. ‘GoldenGate’ 2n=4x=4sm+44m 1.56 2.62 1B 2n=12L+8M2+16M1+12S 61.34<br />

T .patula L.‘Little Hero’ 2n=4x=4sm+44m 1.45 2.8 1B 2n=12L+8M2+16M1+12S 59.67<br />

T. erecta L. ‘Inca Orange’ 2n=2x=2sm+22m 1.32 2.50 1B 2n=4L+8M2+8M1+4S 57.15<br />

T .erecta L. ‘Inca Yellow’ 2n=2x=24m 1.30 2.84 1B 2n=4L+4M2+12M1+2S 56.95<br />

T. patula L. ‘Janie’ 2n=4x=48m 1.46 2.64 1B 2n=12L+12M2+12M1+12S 59.7<br />

T. erecta L. ‘Perfection ‘Yellow’ 2n=2x=4sm+20m 1.31 3.35 1B 2n=6L+6M2+6M1+6S 56.85<br />

T .erecta L. ‘Perfection ‘Orange’ 2n=2x=24m 1.17 2.43 1B 2n=6L+8M2+6M1+4S 54.06<br />

A.A.R= Average arm ratio; Lt= Longest arm; St-Shortest arm; As.k(%)= Index of the karyotypic asymmetry.<br />

tips were cut approximately 1 cm long before pretreated in 0.002<br />

mol/L 8-hydroxyquinoline solution for 4 h; then, fixed with Carnoy I<br />

(glacial acetic acid : 70% ethanol = 1:3) for 20 h. After hydrolysis in<br />

1 mol/L HCl at 60°C for 8 -10 min, the root tips were rinsed in<br />

distilled water twice for approximately 20 min. Prior to observation,<br />

stained with phenol fuchsin solution for 30 min, and squashed for<br />

chromosome observation. Observations were made of somatic<br />

mitotic metaphase. At least thirty cells of each cultivar have been<br />

observed to ensure their chromosome number. Five cells’s<br />

chromosome parameters of each cultivar were surveyed and<br />

calculated according to Li et al. (1985); karyotype asymmetry (KA)<br />

was classified according to Arano (1963) and karyotype<br />

classification was according to Stebbins (1971).<br />

RESULTS<br />

Chromosome number of 2n=2x=24 was found among the<br />

T. erecta L. cultivars; T. patula L. cultivars have a<br />

chromosome number of 2n=4x=48. Satellite has not been<br />

found in the tested plants. Their detailed parameters and<br />

karyotype formulae are listed in Table 2. The<br />

chromosomes, karyograms and idiograms are shown in<br />

Figures 1, 2 and 3, respectively. Brief descriptions of the<br />

cytological features of each cultivar were as follows:<br />

T. erecta L. ‘Scarletade’<br />

The karyotype formula of T. erecta L. ‘Scarletade’ was<br />

2n=2x=4sm+20m. The ratio of the longest to the shortest<br />

chromosome was 2.36, the KA was of type 1B, average<br />

arm ratio was 1.5 and the length type was<br />

2n=4L+8M2+6M1+6S.<br />

T. erecta L. ‘9901AB’<br />

The karyotype formula of the T. erecta L. ‘9901AB’ was<br />

2n=2x=2sm+22m. The ratio of the longest to the shortest<br />

chromosome was 2.2, the length type was<br />

2n=4L+8M2+8M1+4S, average arm ratio was 1.51 and<br />

the KA was of type 1B.


16140 Afr. J. Biotechnol.<br />

Figure 1. Chromosomes of Tagetes erecta L. and Tagetes patula<br />

L. 1-5, 9-12. Chromosomes of T. erecta L. 1. ‘Scarletade’. 2.<br />

‘9901AB’. 3. ‘Harvest’. 4. ‘Taishan’. 5. ‘Marvel’. 9. ‘Perfection<br />

‘Yellow’. 10. ‘Perfection Orange’. 11. ‘Inca Orange’. 12. ‘Inca<br />

Yellow’. 6-8. Chromosomes of T.patula L. 6. ‘GoldenGate’. 7.<br />

‘Janie’. 8. ‘Little Hero’.<br />

T. erecta L. ‘Harvest’<br />

The karyotype formula of T. erecta L. ‘Harvest’ was<br />

2n=2x=6sm+18m. The ratio of the longest to the shortest<br />

chromosome was 2.34, the length type was<br />

2n=4L+6M2+10M1+4S, average arm ratio was 1.66 and<br />

the KA was of type 1B.<br />

T. erecta L. ‘Taishan’<br />

The karyotype formula of T. erecta L. ‘Taishan’ was<br />

2n=2x=14sm+10m; the ratio of the longest to the shortest<br />

chromosome was 2.5, the KA was of type 2B, average<br />

arm ratio was 1.74 and length type<br />

was2n=6L+4M2+10M1+4S.<br />

T. erecta L. ‘Marval’<br />

The karyotype formula of T. erecta L. ‘Marval’ was<br />

Figure 1. Contd.<br />

2n=2x=24m. The ratio of the longest to the shortest<br />

chromosome was 2.37, the KA was of type 1B, average<br />

arm ratio was 1.48 and length type was<br />

2n=4L+8M2+8M1+4S.<br />

T. patula L. ‘GoldenGate’<br />

The karyotype formula of T. patula L. ‘GoldenGate’ was<br />

2n=4x=4sm+44m. The ratio of the longest to the shortest<br />

chromosome was 2.62, 2n=12L+8M2+16M1+12S,<br />

average arm ratio was 1.56 and the KA was of type 1B.<br />

T. patula L. ‘Little Hero’<br />

The karyotype formula of T. patula L. ‘Little Hero’ was<br />

2n=4x=4sm+44m. The ratio of the longest to the shortest<br />

chromosome was 2.8, length type was<br />

2n=12L+8M2+16M1+12S, average arm ratio was 1.45<br />

and the KA was of type 1B.


T. patula L. ‘Janie’<br />

Figure 2. Karyograms of Tagetes erecta L. and Tagetes patula L. 1-5, 9-12.<br />

Karyograms of T.erecta L. 1. ‘Scarletade’. 2. ‘9901AB’. 3. ‘Harvest’. 4. ‘Taishan’. 5.<br />

‘Marvel’. 9. ‘Perfection ‘Yellow’. 10. ‘Perfection Orange’. 11. ‘Inca Orange’. 12. ‘Inca<br />

Yellow’. 6-8. Karyograms of T.patula L. 6. ‘GoldenGate’. 7. ‘Janie’. 8. ‘Little Hero’.<br />

The karyotype formula of T. patula L. ‘Janie’ was<br />

Zhang et al. 16141<br />

2n=4x=48m. The ratio of the longest to the shortest<br />

chromosome was 2.64, length type was<br />

2n=12L+12M2+12M1+12S, average arm ratio was 1.46


16142 Afr. J. Biotechnol.<br />

Figure 3. Idiograms of Tagetes erecta L. and Tagetes patula L. 1-5, 9-12. Idiograms of T.erecta L. 1.<br />

‘Scarletade’. 2. ‘9901AB’. 3. ‘Harvest’. 4. ‘Taishan’. 5. ‘Marvel’. 9. ‘Perfection ‘Yellow’. 10. ‘Perfection<br />

Orange’. 11. ‘Inca Orange’. 12. ‘Inca Yellow’. 6-8. Idiograms of T.patula L. 6. ‘GoldenGate’. 7. ‘Janie’. 8.<br />

‘Little Hero’.


and the KA was of type 1B.<br />

T. erecta L. ‘Perfection Yellow’<br />

The karyotype formula of T. erecta L. ‘Perfection ‘Yellow’<br />

’was 2n=2x=4sm+20m. The ratio of the longest to the<br />

shortest chromosome was 3.35, length type was<br />

2n=6L+6M2+6M1+6S, average arm ratio was 1.31 and<br />

the KA was of type 1B.<br />

T. erecta L. ‘Perfection Orange’<br />

The karyotype formula of T. erecta L. ‘Perfection ‘Orange’<br />

’ was 2n=2x=24m. The ratio of the longest to the shortest<br />

chromosome was 2.43, length type was<br />

2n=6L+8M2+6M1+4S, average arm ratio was 1.17 and<br />

the KA was of type 1B.<br />

T. erecta L. ‘Inca Orange’<br />

The karyotype formula of T. erecta L. ‘Inca Orange’ was<br />

2n=2x=2sm+22m. The ratio of the longest to the shortest<br />

chromosome was 2.50, length type was<br />

2n=4L+8M2+8M1+4S, average arm ratio was 1.32 and<br />

the KA was of type 1B.<br />

T. erecta L. ‘Inca Yellow’<br />

The karyotype formula of T. erecta L. ‘Inca Yellow’ was<br />

2n=2x=24m. The ratio of the longest to the shortest<br />

chromosome was 2.84, length type was<br />

2n=4L+4M2+12M1+2S, average arm ratio was 1.30 and<br />

the KA was of type 1B.<br />

DISCUSSION<br />

The main carrier of genetic substances was chromosome.<br />

The size, number and even morphology characters<br />

of chromosome were relatively stable in plants,<br />

alternation of generations are not easily affected by<br />

environmental conditions. Therefore, the karyotype and<br />

chromosome number could provide cytological<br />

information for the plant classification, phylogeny and<br />

relationship identification.<br />

Our results indicate that no satellite existed in the<br />

tested Tagetes plants, all with submetacente (sm) or<br />

metacenters (m). In the last several years, some efforts<br />

have been offered to karyotype analysis on a few Tagetes<br />

plants. Li et al. (2005) studied on the chromosome<br />

number of T. erecta ‘ACHY021’ ‘PBLY026’ and T. patula<br />

‘PBHO029’, the result was consistent with ours. Qi et al.<br />

(2008) only studied on karyotype type of T. erecta L.<br />

Zhang et al. 16143<br />

‘Little Hero’; their result 2B was different <strong>from</strong> ours 1B.<br />

Wang and Li (1987) have studied the chromosome<br />

number and karyotype formula about ten composites. In<br />

their paper, the karyotype formula of genus Tagetes was<br />

2n=24=6sm+16st(2SAT)+2t, which was different <strong>from</strong><br />

ours. However, compared to theses reports, our research<br />

was more systematic. From a lot of work for a long time,<br />

we can ensure that T. erecta L. and T. patula L. had the<br />

same basic chromosome number twelve, and the<br />

chromosome numbers were different, T. erecta L. was<br />

diploid 2n=2x=24, T. patula L. was tetraploid 2n=4x=48.<br />

The difference between our result and others probably<br />

came <strong>from</strong> the experimental error, while the true causes<br />

still needed more researches to illustrate.<br />

Karyotype differences of nine T. erecta L.cultivars and<br />

three T. patula L. cultivars were mainly displayed in such<br />

aspects as average arm ratio, karyotype formula and<br />

index of the karyotypic asymmetry etc. For the T. erecta L<br />

cuiltivars, As.K% ranged <strong>from</strong> 54.06% to 64.02%,<br />

average arm ratio was <strong>from</strong> 1.17 to 1.74 and their primary<br />

karyotype types were 1B except for ‘Taishan’ was 2B.<br />

Metacentric chromosomes existed in the every tested<br />

cultivar, while submetacentric chromosomes did not.<br />

Among 12 pairs of chromosomes in ‘Taishan’, 7 pairs<br />

were submetacenter (sm). But, no pairs of submetacenter<br />

chromosomes was found in both T. erecta L ‘Marvel ‘and<br />

T. erecta L ‘Inca’. Likewise, within the T. patula L.<br />

cultivars, As.K% ranged <strong>from</strong> 59.67 to 61.34%, average<br />

arm ratio was <strong>from</strong> 1.45 to 1.56, with all karyotype types<br />

belong to 1B. Chromosome constitution was same as T.<br />

erecta L. and no submetacenter existed in ‘Jenie’. In<br />

recent years, the karyotypes studies have been not only<br />

on different species but also on different cultivars (Gao<br />

and Zhuang, 2009; Zhan et al., 2009, 2010; Wang et al.,<br />

2010). In these reports, the karyotype differences between<br />

cultivars were also included. This difference maybe<br />

as a result <strong>from</strong> during long-term breeding process, the<br />

chromosomal hybridization occurred between different<br />

populations or individuals with different karyotypes.<br />

According to Levitzky, (1931) and Stebbins (1971), the<br />

basic trend of karyotype evolution was <strong>from</strong> symmetrical<br />

to asymmetrical for the angiosperm. Meanwhile,<br />

according to Arano (1963), when the As.k% was less than<br />

60%, karyotype symmetries were high. It could be<br />

deduced that genus Tagetes asymmetries were relatively<br />

low. Some cultivars have the same karyotype formula, so<br />

they may have a near genetic relationship. This result will<br />

provide basic cytological information for the breeding<br />

work on marigold. But the correct genetic relationship<br />

between these cultivars also needs to be researched<br />

combined with some other methods. Previous studies by<br />

Wang and Li (1987), Li et al. (2005) and Qi et al. (2008)<br />

got the same results in basic chromosome number of<br />

genus Tagetes plants steadily as twelve. The basic<br />

chromosome number was single and maybe support that<br />

the evolutionary process was relatively simple than those<br />

whose basic chromosome number were not single (He


16144 Afr. J. Biotechnol.<br />

and Zhang, 2009). However, more related molecular<br />

biotechnology researches such as gene sequencing and<br />

molecular markers were need to be carried out on more<br />

Tagetes plants.<br />

ACKNOWLEDGEMENTS<br />

This study was supported by Mr. Man-Zhu BAO of<br />

Huazhong Agricultural University for providing materials<br />

and information. This study was supported by Shanghai<br />

natural foundation: Enhancing Lutein Content of Tagetes<br />

erecta L. via over-expressing of psy<br />

Genes(11ZR1418600).<br />

REFERENCES<br />

Arano H (1963). Cytological students in subfamily Carduoideae<br />

(Compositae) of Japan, IX. Botanical Magazine (Tokyo). 76: 32-39.<br />

Charles PM, Li T, Katherine WO (2001). Analysis of carotenoid<br />

biosynthetic gene expression during marigold petal development.<br />

Plant Mol. Biol. 45: 281-293.<br />

Chen FD, Zhao HB, Li C, Chen SM, Fang WM (2008). Advances in<br />

cytology and molecular cytogenetics of the genus Dendranthema. J.<br />

Nanjing Agricultural University, 31: 118-126.<br />

Gao HQ, Zhuang NS (2009). Karyotype Analysis of Two Varieties in<br />

Hevea brasiliensis. J. Wuhan Botanical Res. 27(5): 537-540.<br />

He XL, Zhang MJ (2009). Chromosome number and Karyotype of 7<br />

species <strong>from</strong> Seriphidium (compositae). Acta Bot. Boreal.-Occident.<br />

Sin 29: 1155-1161.<br />

He ZC, Li XD, Li JQ (2005). Meiotic observations on the pollen mother<br />

cells of Manglietia patungenswas, an endangered species. Acta<br />

Phytotaxonomica ica Sinica, 43: 526-532.<br />

Kong H (2000). A study on karyotype of Callwastephus chinenswas<br />

Nees, Guihaia. 20: 339-340.<br />

Levitzky GA (1931). The karyotype in systematics. Bull. Appl. Bot.<br />

Genet. Plant Breed, 27: 220-240.<br />

Li C, Chen FD, Zhao HB, Fang WM (2007). Karyomorphology of<br />

fourteen cultivars in cut chrysanthemum. Acta Horticulturae Sinica.<br />

34: 1235-1242.<br />

Li FR, Zhang JC, Xu JR, Zhou JH(2005). Studies on the cross-breeding<br />

of T. erecta L. × T. patula L. and the sterility of hybrid. J. Inner<br />

Mongolia Agricultural University, 26: 51-54.<br />

Li MX, Chen RY (1985). A suggestion on the standardization of<br />

Karyotype analysis in plants. J. Wuhan Botanical Res. 3: 297-302.<br />

Qi YC, Zhou GL, Gao Y (2008). Study on squash technique of root tip<br />

and analysis chromosome karyotype in T. patula. J. Hubei University<br />

for Nationalities (Natural Science Edition). 26: 261-265.<br />

Robert TN (1962). The Ethnobotany of Tagetes. Econ. Bot. 16: 317-325.<br />

Soule JA (1996). In: Janick(ed), Progress in new crops, ASHS Press,<br />

Arlington, VA. pp. 546-551.<br />

Stebbins GL (1971). Chromosomal evolution in higher plants. London:<br />

Edward Arnold. pp. 85-104.<br />

Tian HY, Wang P, Shen XQ (2007). Genetic Analysis and Botanical<br />

Character in Male Sterile W205AB Line of Marigold. Northern<br />

Horticulture, 2: 105-107.<br />

Wang AX, Feng DQ, Xing SY (2010). Analysis of Karyptype and<br />

Chromosome Number on Three Cyclamen Cultivars. Chinese Agric.<br />

Sci. Bull. 26(2): 193-195.<br />

Wang GY (2003). Technology on production of hybrid marigold seed in<br />

protected field. China Seed Industry, 10: 59-60.<br />

Wang P (2009). Selection and Application of a New Pigment Tagetes<br />

erecta 'Sesu 1'. Liaoning Agricultural Sci. 2: 74-75.<br />

Wang XL, Li MX (1987). The karyotype analysis of 10 Chrysanthemums<br />

species. J. Wuhan Botanical Res. 5: 111-120.<br />

Xie ZY, Zheng CM (2003). Cytological studies on 13 species of<br />

Compositae form Hainan, China. Acta Phytotaxonomica ica Sinica,<br />

41: 545-552.<br />

Yang DK (2001). The karyotype studies do Chentaurea cyanus and<br />

Coreopswas grandiflora. Journal of Shandong Normal University<br />

(Natural Science). 16: 75-78.<br />

Zhan T, Jian HY, Wang QG, Zhang H (2010). Study on Karyotype of<br />

Eleven Chinese Old Garden Roses. Southwest China J. Agric. Sci.<br />

23(5): 1656-1659.<br />

Zhan YF, Dang XM, Cao ZM (2009). Karyotype Analysis of Two<br />

Varieties Solanum melongena L. J. Plant Genet. Resour. 10(2): 283-<br />

285.<br />

Zhang JW, Nie ZL, Sun H (2009). Cytological study on the genus<br />

Syncalathium (Asteraceae Lactuceae), an endemic taxon to alpine<br />

scree of the Sino-Himalayas. J. Syst. Evol. 47(3): 226-230.<br />

Zheng M, Yu XS, Li Y, Wu H, Zhang SZ (2005). Karyotype analysis of<br />

14 species and 2 varieties in Aloe L. J. Wuhan Botanical Res. 23:<br />

535-540.


African Journal of Biotechnology Vol. 10(72), pp. 16145-16151, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB10.2002<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Genetic diversity assessment of Diplocyclos palmatus<br />

(L.) C. <strong>Jeffrey</strong> <strong>from</strong> <strong>India</strong> <strong>using</strong> <strong>internal</strong> <strong>transcribed</strong><br />

spacer (ITS) sequences of nuclear ribosomal DNA<br />

M. Ajmal Ali 1 *, Fahad M. A. Al-Hemaid 1 , Joongku Lee 2 , R. K. Choudhary 2 , Naif A. Al-Harbi 1,3<br />

and Soo-Yong Kim 2<br />

1 Department of Botany and Microbiology, College of Science, King Saud University,<br />

Riyadh- 11451, Saudi Arabia.<br />

2 International Biological Material Research Centre, Korea Research Institute of Bioscience<br />

and Biotechnology, Daejeon- 305-806, South Korea.<br />

3 Addiriyah Chair for Environmental Studies, College of Science, King Saud University,<br />

Riyadh 11451, Saudi Arabia<br />

Accepted 24 October, 2011<br />

Internal <strong>transcribed</strong> spacer (ITS) region of nuclear ribosomal DNA <strong>from</strong> 20 populations of Diplocyclos<br />

palmatus (L.) C. <strong>Jeffrey</strong> belonging to five different geographical locations (Bihar, Jharkhand,<br />

Maharashtra, Madhya Pradesh, and Tamil Nadu) of <strong>India</strong> were sequenced. Analysis of nucleotide<br />

sequences reveals polymorphism among the populations [π = 0.01482, θw = 0.01180 (0.00236) and total<br />

variance 3.260]. AMOVA was used to partition the genetic diversity and tested whether there is any<br />

hierarchy of ITS sequence variation among individuals. The genetic differentiation between the<br />

populations is high (ΦST = 0.591). The maximum likelihood tree reveals the evolution of D. palmatus<br />

under reproductive isolation and under different environmental conditions which may be most probably<br />

due to long distance distribution, and possibility of genetic exchange among the populations of D.<br />

palmatus distributed in Bihar and Jharkhnad.<br />

Key words: Diplocyclos palmatus (L.) C. <strong>Jeffrey</strong>, genetic diversity, <strong>internal</strong> <strong>transcribed</strong> spacer (ITS), nrDNA.<br />

INTRODUCTION<br />

Diplocyclos (Endl.) Post and Kuntze [Family<br />

Cucurbitaceae, Tribe Benincaseae (Schaefer and<br />

Renner, 2011)] is a small genus of four species; three<br />

[Diplocyclos leiocarpus (Hook. f.) C. <strong>Jeffrey</strong>, Diplocyclos<br />

schliebenii (Harms) C. <strong>Jeffrey</strong>, Diplocyclos tenuis C.<br />

<strong>Jeffrey</strong>] confined to tropical Africa and one [Diplocyclos<br />

palmatus (L.) C. <strong>Jeffrey</strong>] extends <strong>from</strong> tropical Africa to<br />

*Corresponding author. E-mail: majmalali@rediffmail.com. Tel:<br />

966-75834. Fax: 966-75833.<br />

Abbreviation: ITS, Internal <strong>transcribed</strong> spacer.<br />

Malaysia (www.tropicos.org). In <strong>India</strong> the genus<br />

Diplocyclos is only represented by D. palmatus (commonly<br />

known as Sivalingi or Pachguria) which is growing<br />

wild on bushes, trees and hedges. The plant is a weak<br />

stemmed, branched tendril climber; leaves simple,<br />

alternate, 5-lobed, hairy above, pale and smooth<br />

beneath; flowers yellow, small, unisexual, male in small<br />

fascicles and females solitary; fruits quite conspicuous in<br />

the field due to bunches of globose green with white<br />

striped (or become bright red with white striped when<br />

ripe), smooth with 1 to 2 small seeds. Medicinally it is<br />

useful for skin diseases, inflammations and general<br />

debility (Chakravarty, 1982; Kirtikar and Basu, 1975; Ali<br />

and Pandey, 2007).


16146 Afr. J. Biotechnol.<br />

The nuclear ribosomal transcription unit (NRTU) is<br />

comprised of 18S, 5.8S and 28S genes, two <strong>internal</strong><br />

<strong>transcribed</strong> spacers (ITS-1 and ITS-2), and an intergenic<br />

spacer (IGS). After transcription, the NRTU is processed<br />

to produce mature rRNAs that are key components of<br />

cytoplasmic ribosomes. NRTU are found in hundreds to<br />

thousands of tandem copies and usually several NRTU<br />

clusters are present within plant genomes. The<br />

conserved regions (18S and 28S genes) of NRTU are<br />

used to infer phylogenetic relationships at higher<br />

taxonomy levels, whereas the more rapidly evolving<br />

segments (ITS and IGS) are used for studies at the genic<br />

or population levels (Soltis and Soltis, 1998; Alvarez and<br />

Wendel, 2003). For over a decade, sequences of <strong>internal</strong><br />

<strong>transcribed</strong> spacers (ITS) of NRTUs have been widely<br />

used to infer phylogenetic relationships, genetic diversity<br />

and to unravel evolution in a wide range of complexes in<br />

plants (Alvarez and Wendel, 2003; Baldwin and Markos,<br />

1998; Baldwin et al., 1995; Hershkovitz et al., 1999;<br />

Kelch and Baldwin, 2003; Lee et al., 2002). Although,<br />

NRTUs are found in thousands of copies within a<br />

genome, intra-genomic diversity is generally low (Baldwin<br />

et al., 1995). This homogeneity among NRTUs is attributed<br />

to concerted evolution (Baldwin et al., 1995;<br />

Ainouche and Bayer, 1997), a process that acts through<br />

gene conversion and unequal crossing over. Despite the<br />

fact that homogenization is a norm among NRTUs in a<br />

genome, extensive intra-individual and intra-specific<br />

variation has been observed in various plant species<br />

(Campbell et al., 1997; Hughes et al., 2002). The<br />

accumulating evidence suggests that intra-individual<br />

variation of nuclear ribosomal ITS regions should not be<br />

considered as exceptional (Feliner et al., 2004). Because<br />

of the influence of concerted evolution, the occurrence of<br />

ancestral polymorphisms is not the most likely ultimate<br />

cause for intra-genomic variability in this marker. Instead,<br />

a more frequent origin is the merging of different ITS<br />

copies within the same genome as a consequence of<br />

gene flow. Once the two copies meet, the fate of the<br />

polymorphism depends on genetic, reproductive and<br />

population-level factors: Specifically, the number and<br />

location of ribosomal loci (on the same or different<br />

chromosomes), the occurrence of polyploidy and/or<br />

apomixes (Hershkovitz et al., 1999; Campbell et al.,<br />

1997; Buckler et al., 1997), and the relative abundance of<br />

different ITS copies in the breeding populations (Feliner<br />

et al., 2004).<br />

D. palmatus shows morphological intermediate among<br />

the population. Because of its medicinal properties the<br />

plant is being over explored by the local people <strong>from</strong> the<br />

wild. An important prerequisite for development of an<br />

effective conservation strategy is the proper evaluation of<br />

the distribution and study at the level of genetic variation<br />

(Milligan et al., 1994). A perusal of literature reveals that<br />

phylogeny and classification of the family Cucurbitaceae<br />

have been the focus of several studies (Schaefer and<br />

Renner, 2011; Ali et al., 2009; Kocyan et al., 2007; Zhang<br />

et al., 2006; <strong>Jeffrey</strong>, 2005; Decker-Walters et al., 2004;<br />

Chung et al., 2003; Jobst et al., 1998); however, the<br />

information on population structure and genetic variation<br />

of D. palmatus is lacking. Hence, the main objectives of<br />

the present study were to utilize the nucleotide data of<br />

the ITS region to evaluate the degree of differentiation<br />

among the populations of D. palmatus <strong>from</strong> <strong>India</strong>.<br />

MATERIALS AND METHODS<br />

Plant materials<br />

Leaf samples of D. palmatus were collected <strong>from</strong> different<br />

geographical region of <strong>India</strong>. All the collected voucher specimens<br />

have been deposited in the Tilka Manhji Bhagalpur University<br />

Herbarium (BHAG), Bihar, <strong>India</strong>. For comparison, the sequence of<br />

closely related species Coccinia grandis (L.) Viogt. <strong>from</strong> our earlier<br />

study (Ali et al., 2009) was included in the analysis.<br />

DNA extraction<br />

Leaves were dried in silica gel prior to DNA extraction. Total<br />

genomic DNA was extracted by following the 2X CTAB method<br />

(Doyle and Doyle, 1987) or <strong>using</strong> the DNeasy Plant Mini kit<br />

(QIAGEN Inc., Crawley, West Sussex, UK). Total genomic DNA<br />

was extracted <strong>from</strong> similar amounts of silica dried tissue (~10 to 50<br />

mg dry mass) as well as <strong>from</strong> herbarium specimens following the<br />

cetyltrimethyl ammonium bromide (CTAB) procedure (Doyle and<br />

Doyle, 1987). After precipitation with isopropanol and subsequent<br />

centrifugation, the DNA pellet was washed with 70% ethanol, dried<br />

at 37°C, and resuspended in TRIS-EDTA (TE) buffer.<br />

Amplification of ITS region<br />

ITS sequences of nuclear ribosomal DNA were amplified <strong>using</strong><br />

primers of White et al. (1990) ITS1F (5’-GTCCACTGAACCTT<br />

ATCATTTAG-3’) and ITS4R (5’-TCCTCCGCTTATTGATATGC-3’)<br />

via the polymerase chain reaction (PCR) <strong>using</strong> the AccuPower HF<br />

PCR PreMix (Bioneer, Daejeon, South Korea). One round of<br />

amplification consisting of denaturation at 94°C for 5 min followed<br />

by 40 cycles of denaturation at 94°C for 1 min, annealing at 49°C<br />

for 1 min and extension at 72°C for 1 min, with a final extension<br />

step of 72°C for 5 min. The PCR products were purified <strong>using</strong><br />

SolGent PCR Purification Kit-Ultra (SolGent, Daejeon, South Korea)<br />

prior to sequencing.<br />

DNA Sequencing<br />

The purified fragments were directly sequenced <strong>using</strong> dye<br />

terminator chemistry following the manufacturer’s protocol. The<br />

sequencing reaction was performed in a 10 µl final volume with the<br />

BigDye Terminator cycle sequencing kit (Perkin-Elmer, Applied<br />

Biosystems). Cycle sequencing was conducted <strong>using</strong> same primers<br />

used in amplification and BigDye vers. 3 reagents and an ABI<br />

PRISM 3100 DNA Analyzer (Perkin-Elmer, Applied Biosystems).<br />

Cycling conditions included an initial denaturing set at 94°C for 5<br />

min, followed by 30 cycles of 96°C for 10 s, 50°C for 5 s, and 60°C<br />

for 4 min. Sequenced product was precipitated with 17 µl of


Table 1. Sampling location of Diplocyclos palmatus and GenBank accession number.<br />

Population Population code/ Voucher GenBank accession number<br />

Dp bgp1 GQ183041<br />

Dp bgp2 JN834058<br />

Dp bgp3 JN834059<br />

Bihar<br />

Dp bgp4 JN834060<br />

Dp kis1 JN834061<br />

Dp kis2 JN834062<br />

Dp kis3 JN834063<br />

Jharkhand<br />

Maharashtra<br />

Madhya Pradesh<br />

Tamil Nadu<br />

deionized sterile water, 3 µl of 3 M NaOAc, and 70 µl of 95% EtOH.<br />

Polyacrylamide gel electrophoresis was conducted with Long<br />

Ranger Single packs (FMC BioProducts) and an ABI 3100<br />

automated DNA sequencer (Perkin-Elmer, Applied Biosystems).<br />

Each sample was sequenced in the sense and antisense direction.<br />

The sequences were analyzed with ABI sequence navigator<br />

software (Perkin-Elmer/Applied Biosystems). The sequencing was<br />

done through commercial service of Macrogen Inc. (South Korea).<br />

The sequences were analyzed with ABI Sequence Navigator<br />

software (Perkin-Elmer/Applied Biosystems). Nucleotide sequences<br />

of both DNA strands were obtained and compared the forward and<br />

reverse sequence to ensure accuracy.<br />

Data analysis<br />

Sequence alignment<br />

Sequence alignments were performed <strong>using</strong> ClustalX version 1.81<br />

(Thompson et al., 1997). Sequence alignments were subsequently<br />

adjusted manually <strong>using</strong> BioEdit (Hall, 1999). Insertion-deletions<br />

(Indels) were scored as single characters when we had confidence<br />

in positional homology. The boundaries between the ITS1, 5.8S,<br />

and ITS2 were determined by comparisons with earlier published<br />

sequences (Jobst et al., 1998). Gaps were treated as missing data<br />

in phylogenetic analyses. All sequences generated in the present<br />

study were deposited in GenBank and GenBank accession<br />

numbers are included in Table 1.<br />

Dp pkr1 JN834064<br />

Dp pkr2 JN834065<br />

Dp pkr3 JN834066<br />

Dp klp1 JN834067<br />

Dp klp2 JN834068<br />

Dp klp3 JN834069<br />

Dp bhp1 JN834070<br />

Dp bhp2 JN834071<br />

Dp bhp3 JN834072<br />

Dp tn1 JN834073<br />

Dp tn2 JN834074<br />

Dp tn3 JN834075<br />

Dp tn4 JN834076<br />

Sequence diversity<br />

Ali et al. 16147<br />

Nucleotide polymorphism, as measured by θw (Watterson, 1975)<br />

and diversity, as measured by π (Nei, 1978) were calculated <strong>using</strong><br />

DnaSP v4.5 (Rozas and Rozas, 1999). Analysis of molecular<br />

variance (AMOVA) was performed <strong>using</strong> GenAlEx 6.1 (Peakall and<br />

Smouse, 2006) to assess genotypic variations across all the<br />

populations studied. This analysis, apart <strong>from</strong> partitioning of total<br />

genetic variation into within-group and among-group variation<br />

components, also provided a measure of intergroup genetic<br />

distance as proportion of the total variation residing between<br />

populations. The significance of the analysis was tested <strong>using</strong> 999<br />

random permutations.<br />

Phylogenetic analyses<br />

The phylogenetic analysis of aligned sequences was performed by<br />

maximum likelihood (ML) <strong>using</strong> MEGA5 (Tamura et al., 2007).<br />

Phylogenetic analysis inferred <strong>using</strong> the maximum likelihood<br />

method was based on the Tamura-Nei model (Tamura and Nei,<br />

1993). Initial tree(s) for the heuristic search were obtained<br />

automatically as follows. When the number of common sites was <<br />

100 or less than one fourth of the total number of sites, the<br />

maximum parsimony method was used; otherwise BIONJ method<br />

with MCL distance matrix was used. Substitution pattern and rates<br />

were estimated under the Kimura (1980) 2-parameter model<br />

(Kimura, 1980). For estimating ML values, a user-specified topology<br />

was used. Substitution pattern and rates were estimated under the


16148 Afr. J. Biotechnol.<br />

Table 2. Maximum composite likelihood estimate of the pattern of nucleotide substitution.<br />

Nucleotide A T C G<br />

A - 5.53 10.45 9.77<br />

T 5.42 - 16.04 8.23<br />

C 5.42 8.48 - 8.23<br />

G 6.44 5.53 10.45 -<br />

Each entry shows the probability of substitution <strong>from</strong> one base (row) to another base (column)<br />

(Tamura et al., 2004). Rates of different transitional substitutions are shown in bold and those<br />

of transversional substitutions are shown in italics.<br />

Tamura and Nei, (1993) model (+Gamma) (Tamura and Nei, 1993).<br />

A discrete gamma distribution was used to model evolutionary rate<br />

differences among sites (5 categories, [+G]).<br />

RESULTS AND DISCUSSION<br />

Nucleotide sequences and intraspecific divergence<br />

The amplified region of ITS1-5.8S-ITS2 in D. palmatus<br />

was found 599 base pairs (bp) [ITS1- 216, 5.8S- 164,<br />

ITS2- 219]. Outgroup spacer lengths were 593 bp. Data<br />

matrix has a total number of 606 characters of which<br />

invariable sites were 534 bp, variable sites were 52 (total<br />

number of mutations were 53), singleton variable sites<br />

were 28 and parsimony informative sites were 24.<br />

Insertions and deletions (indels) were necessary to align<br />

the sequences. The substitution probabilities are given in<br />

Table 2. The nucleotide frequencies were 0.183 (A),<br />

0.187 (T/U), 0.353 (C), and 0.278 (G). The transition/<br />

transversion rate ratios were k1 = 1.187 (purines) and k2<br />

= 1.534 (pyrimidines). The overall transition/ transversion<br />

bias (R) was found 0.874.<br />

The absence of other variable regions in the nuclear<br />

DNA of plants that could provide useful markers at both<br />

intra-family (Baldwin and Markos, 1998) and intragenomic<br />

level differentiation (Feliner et al., 2004), makes<br />

ITS ostensibly the best marker for phylogenetic studies.<br />

Polymorphism was observed among the populations [π<br />

Figure 1. Percentage of ITS variance within and among population<br />

of Diplocyclos palmatus<br />

= 0.01482, θw = 0.01180 (0.00236) and total variance<br />

3.260]. Variability within the nuclear ribosomal<br />

transcription unit (NRTU) usually depends upon number<br />

of gene copies, rates of mutation, concerted evolution,<br />

number and chromosomal location of NRTU clusters, and<br />

proportion of sexual and asexual reproduction (Dover et<br />

al., 1993). Polymorphism may arise when concerted<br />

evolution is not fast enough to homogenize repeats in<br />

face of high rates of mutation (Appels and Honeycutt,<br />

1986) or by loss of sexual recombination (Campbell et al.,<br />

1997).<br />

AMOVA was used to partition the genetic diversity of D.<br />

palmatus and tested whether there is any hierarchy of<br />

ITS sequence variation among individuals (Figures 1 and<br />

2 and Table 3). The genetic differentiation between the<br />

populations is high (ΦST = 0.591). {(Nei, 1978) classified<br />

GST > 0.15 as high, ΦST and GST both denote fixation<br />

index and are comparable)}.<br />

Phylogenetic reconstruction<br />

Phylogenetic analysis inferred <strong>using</strong> the maximum<br />

likelihood method based on the Tamura-Nei model<br />

(Tamura and Nei, 1993) resulted into the ML tree with the<br />

highest log likelihood (-1102.8302) is shown in Figure 3.<br />

Substitution pattern and rates estimated under the<br />

Kimura (1980) 2-parameter model (Kimura, 1980) shows<br />

the nucleotide frequencies A = 20.63%, T/U = 16.65%, C


Figure 2. Frequency distribution of random PhiPT vs observed PhiPT among population of Diplocyclos<br />

palmatus<br />

Table 3. Hierarchical analysis of molecular variance (AMOVA) within/among D. palmatus populations.<br />

Ali et al. 16149<br />

Source of variation d.f. SSD Estimated variance Total variance (%) ΦST p-value<br />

Among population 4 4.233 0.233 59<br />

Within population 15 2.417 0.161 41<br />

0.591 0.198<br />

Total 19 6.650 0.394<br />

d.f.: Degrees of freedom; SSD: Sum of squared deviations; ΦST: Fixation index; p-value: The probability of having a more extreme<br />

variance component than the observed.<br />

Figure 3. Evolutionary relationships of Diplocyclos palmatus inferred <strong>using</strong> ML method implemented in MEGA5. The<br />

percentage of trees in which the associated taxa clustered together is shown next to the branches. Numbers on the branches<br />

indicate bootstrap support under 100 bootstrap replicates.<br />

= 35.04%, and G = 27.67%. The maximum Log likelihood<br />

for the computation of estimating ML values was -<br />

336.940. The estimated value of the shape parameter for<br />

the discrete gamma distribution was 200.0. Substitution<br />

pattern and rates estimated under the Tamura and Nei,<br />

(1993) model (+Gamma) (Tamura and Nei, 1993) reveals<br />

mean evolutionary rates 0.90, 0.96, 1.00, 1.04, 1.10<br />

substitutions per site. The nucleotide frequencies was A =<br />

20.63%, T/U = 16.65%, C = 35.04%, and G = 27.67%.<br />

The maximum Log likelihood for this computation was –


16150 Afr. J. Biotechnol.<br />

336.941.<br />

The maximum likelihood tree reveals that all the<br />

sampled population of D. palmatus grouped together in a<br />

single clade (100% bootstrap support). The ML tree<br />

shows that the populations of different geographic<br />

location sampled in the present study grouped according<br />

to their geographic locations. It was interesting to note<br />

that population collected <strong>from</strong> the geographic location of<br />

Jharkhand nested within the clade of Bihar. This indicates<br />

that the possibility of genetic exchange among the<br />

populations distributed in Bihar and Jharkhnad which<br />

might have evolved under reproductive isolation and<br />

under different environmental conditions.<br />

ACKNOWLEDGEMENTS<br />

Post Doctoral Fellowship <strong>from</strong> Korea Research Institute<br />

of Biosciences and Biotechnology (KRIBB), Daejeon,<br />

South Korea to MAA and SYK is thankfully acknowledged.<br />

This work was supported partially by Addiriyah Chair for<br />

Environmental Studies, King Saud University, Saudi<br />

Arabia.<br />

REFERENCES<br />

Ali MA, Pandey AK (2007). Cucurbitaceae of eastern Bihar, Plant<br />

Systematics Research Centre (TMBU) Publication, Bhagalpur, <strong>India</strong>.<br />

Ali MA, Pandey AK, Lee J (2009). Relationships among subfamily<br />

Cucurbitoideae (Family Cucurbitaceae) <strong>from</strong> <strong>India</strong> inferred <strong>from</strong> ITS<br />

sequences of nrDNA. Phytomorphology, 59(3&4): 127-140.<br />

Ainouche ML, Bayer RJ (1997). On the origins of the tetraploid Bromus<br />

species (section Bromus, Poaceae): insights <strong>from</strong> the <strong>internal</strong><br />

<strong>transcribed</strong> spacer sequences of nuclear ribosomal DNA. Genome,<br />

40: 730-743.<br />

Alvarez I, Wendel JF (2003) Ribosomal ITS sequences and plant<br />

phylogenetic inference. Mol. Phylo. Evol. 29: 417-434.<br />

Appels R, Honeycutt RL (1986). rDNA: Evolution over a billion years. In:<br />

DNA systematics edited by S Dutton (CRC Press, Boca Raton, FL,<br />

USA), pp. 81-135.<br />

Baldwin BG, Markos S (1998). Phylogenetic utility of the external<br />

<strong>transcribed</strong> spacer (ETS) of 18S-26S rDNA: Congruence of ETS and<br />

ITS trees of Calycadenia (Compositae). Mol. Phylo. Evol. 10: 449-<br />

463.<br />

Baldwin BG, Sanderson MJ, Porter JM, Wojciechowski MF, Campbell<br />

CS, Donoghue MJ (1995). The ITS region of nuclear ribosomal DNA:<br />

a valuable source of evidence on angiosperm phylogeny. Ann. Miss.<br />

Bot. Gard. 82: 247–277.<br />

Buckler ES, Ippolito A, Holtsford TP (1997). The evolution of ribosomal<br />

DNA: divergent paralogues and phylogenetic implications. Genetic,<br />

145: 821-832.<br />

Campbell CS, Wojciechowski MF, Baldwin BG, Alice LA, Donoghue MJ<br />

(1997). Persistent nuclear ribosomal DNA sequence polymorphism in<br />

the Amelanchier agamic complex (Rosaceae). Mol. Biol. Evol. 14: 81-<br />

90.<br />

Chakravarty HL (1982). Fascicles of Flora of <strong>India</strong> Fascicle II<br />

Cucurbitaceae. Botanical Survey of <strong>India</strong>, Calcutta, <strong>India</strong>.<br />

Chung SM, Deena S, Walters D, Staub JE (2003). Genetic relationships<br />

within the Cucurbitaceae assessed by consensus chloroplast simple<br />

sequence repeat (cc SSR) marker. Can. J. Bot. 81: 814-832.<br />

Decker-Walter DS, Chung S, Staub JE (2004). Plastid sequence<br />

evolution: a new pattern of nucleotide substitutions in the<br />

Cucurbitaceae. J. Mol. Evol. 58: 606-614.<br />

Dover GA, Linares AR, Bowen T, Hancock JM (1993). Detection and<br />

quantification of concerted evolution and molecular drive. Methods<br />

Enzymol. 224: 525-541.<br />

Doyle JJ, Doyle JL (1987). A rapid DNA isolation procedure for small<br />

quantities of fresh leaf tissue. Phytochem. Bull. pp. 1911-1915.<br />

Feliner GN, Larena BG, Aguilar JF (2004). Fine scale geographic<br />

structure, intra-individual polymorphism and recombination in nuclear<br />

ribosomal <strong>internal</strong> <strong>transcribed</strong> spacers in Armeria (Plumbaginaceae).<br />

Ann. Bot. 93: 189-200.<br />

Hall TA (1999). BioEdit: a user-friendly biological sequence alignment<br />

editor and analysis program for Windows 95/98/NT. Nucleic Acid<br />

Symp. Ser. 41: 95-98.<br />

Hershkovitz MA, Zimmer EA, Hahn WJ (1999). Ribosomal DNA<br />

sequences and angiosperm systematics. In: Hollingsworth PM,<br />

Bateman RM, Gornall RJ (eds.) Molecular Systematics and Plant<br />

Evolution, Taylor & Francis: London, UK, pp. 268-326.<br />

Hughes CE, Bailey CD, Harris SA (2002). Divergent and reticulate<br />

species relationships in Leucaena (Fabaceae) inferred <strong>from</strong> multiple<br />

data sources: Insights into polyploid origins and nrDNA polymorphism.<br />

Am. J. Bot. 89: 1057-1073.<br />

<strong>Jeffrey</strong> C (2005). A new system of Cucurbitaceae. Bot. Zhurn. 90: 332–<br />

335.<br />

Jobst J, King K, Hemleben V (1998). Molecular evolution of the <strong>internal</strong><br />

<strong>transcribed</strong> spacers (ITS1 and ITS2) and phylogenetic relationships<br />

among the species of the family Cucurbitaceae. Mol. Phylo. Evol. 9:<br />

204-219.<br />

Kimura M (1980). A simple method for estimating evolutionary rate of<br />

base substitutions through comparative studies of nucleotide<br />

sequences. J. Mol. Evol. 16: 111-120.<br />

Kelch DG, Baldwin BG (2003). Phylogeny and ecological radiation of<br />

New World thistles (Cirsium, Cardueae-Compositae) based on ITS<br />

and ETS rDNA sequence data. Mol. Ecol., 12: 141-151.<br />

Kirtikar K, Basu BD (1975). <strong>India</strong>n Medicinal Plants. Vol II, pp. 1106-<br />

1115. Bisehn Singh Mahendra Pal Singh, Dehra Dun, <strong>India</strong> (Rep.<br />

ed.).<br />

Kocyan A, Zhang LB, Schaefer H, Renner SS (2007). A multi-locus<br />

chloroplast phylogeny for the Cucurbitaceae and its implications for<br />

character evolution and classification. Mol. Phylo. Evol. 44:553–577.<br />

Lee JY, Mummenho VK, Bowman JL (2002). Allopolyploidization and<br />

evolution of species with reduced floral structures in Lepidium L.<br />

(Brassicaceae). Proc. Natl. Acad. Sci. USA 99: 16835-16840.<br />

Milligan, BG, Leebens-Mack J, Strand AE (1994). Conservation<br />

genetics: beyond the maintenance of marker diversity. Mol. Ecol. 3:<br />

423-435.<br />

Nei M (1978). Estimation of average heterozygosity and genetic<br />

distance <strong>from</strong> a small number of individuals. Genetic, 89: 583-590.<br />

Peakall R, Smouse PE (2006). GENALEX 6: Genetic analysis in Excel,<br />

population genetic software for teaching and research. Mol. Ecol.<br />

Notes, 6: 288-295.<br />

Rozas J, Rozas R (1999). DnaSP version 3: an integrated program for<br />

molecular population genetics and molecular evolution analysis.<br />

Bioinfor. 15:174-175.<br />

Schaefer H, Renner SS (2011) Phylogenetic relationships in the order<br />

Cucurbitales and a new classification of the gourd family<br />

(Cucurbitaceae). Taxon 60(1): 122-138.<br />

Soltis D, Soltis P (1998). Choosing an approach and an appropriate<br />

gene for phylogenetic analysis. In: Soltis D, Soltis P, Doyle J (eds.)<br />

Molecular Systematics of Plants II. DNA Sequencing, Kluwer<br />

<strong>Academic</strong> Publishers: Boston, MA, USA, pp. 1-42.<br />

Tamura K, Nei M (1993). Estimation of the number of nucleotide<br />

substitutions in the control region of mitochondrial DNA in humans<br />

and chimpanzees. Mol. Biol. Evol. 10: 512-526.<br />

Tamura, K., Nei, M. & Kumar, S. 2004. Prospects for inferring very large<br />

phylogenies by <strong>using</strong> the neighbor-joining method. Proceedings<br />

National Academy of Sciences (USA) 101: 11030-11035.<br />

Tamura K, Dudley J, Nei M, Kumar S (2007). MEGA4: Molecular<br />

Evolutionary Genetics Analysis (MEGA) software version 4. Mol. Biol.<br />

Evol. 24: 1596-1599.<br />

Thompson, JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins GD<br />

(1997). The ClustalX windows interface: flexible strategies for


Multiple sequence alignment aided by quality analysis tools. Nucleic<br />

Acid Res. 24: 4876-4882.<br />

Watterson GA (1975). On the number of segregating sites in genetical<br />

models without recombination. Theor. Pop. Biol. 7: 256-276.<br />

White TJ, Bruns T, Lee S, Taylor J (1990). Amplifcation and direct<br />

sequencing of fungal ribosomal RNA genes for phylogenetics. In:<br />

PCR Protocols: A Guide to Methods and Applications, Innis M,<br />

Gelfand D, Sninsky J, White T (eds.). <strong>Academic</strong> Press, San Diego,<br />

CA, USA. pp. 315-322.<br />

Ali et al. 16151<br />

Zhang LB, Mark PS, Alexander K, Renner SS (2006). Phylogeny of the<br />

Cucurbitales based on DNA sequences of nine loci <strong>from</strong> three<br />

genomes: Implications for morphological and sexual system evolution.<br />

Mol. Phylo. Evol. 39: 305–322.


African Journal of Biotechnology Vol. 10(72), pp. 16152-15156, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.553<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Regeneration of plantlets under NaCl stress <strong>from</strong> NaN3<br />

treated sugarcane explants<br />

Ikram-ul-Haq 1 *, Salma Memon 1 , Nazia Parveen Gill 2 and Muhammad Tahir Rajput 3<br />

1 Institute of Biotechnology and Genetic Engineering (IBGE), University of Sindh, 76080, Jamshoro, Pakistan.<br />

2 Department of Statistics, University of Sindh, 76080, Jamshoro, Pakistan.<br />

3 Institute of Plant Sciences, University of Sindh, 76080, Jamshoro, Pakistan.<br />

Accepted 31 October, 2011<br />

In this experiment, mutation induction in explants <strong>using</strong> NaN3 and subsequently, callus growth and<br />

plant regeneration under NaCl stressed conditions was assessed in some sugarcane (Saccharum<br />

officinarum L.) cultivars (Thatta-10, CPF-237 and SPHS-19). Immature bases of leaf tips were cultured<br />

on MS2n (MS salts, 3.0 mg L -1 ; 2,4-D, 0.5% NaN3) for 6 days then sub-cultured on MS2 (MS salts, 3.0 mg L -<br />

1 2,4-D), MS2a (MS2, 25 mol m -3 NaCl), MS2b (MS2, 50 mol m -3 NaCl) and MS2c (MS2, 75 mol m -3 NaCl) media<br />

in dark condition. After 6 weeks, callus growth was observed to be significantly higher (72.34 ± 3.70%)<br />

in CPF-237 in the control (MS2), and lowest (57.66 ± 4.34%) in SPHS-19 in MS2d culture. Somatic embryos<br />

were induced in proliferated calluses on MS3 (MS salts, 0.5 mg L -1 ; BAP, 0.4 mg L -1 ; kin, 0.3 g L -1 ; casein<br />

hydrolysate, 3% sucrose) medium under dark condition for 2 weeks. These calluses were sub-cultured<br />

on MS4 (MS, 0.3 mg L -1 ; BAP, 0.2 mg L -1 ; kin, 3% glucose), MS4a (MS4, 25 mol m -3 NaCl), MS4b (MS4, 50<br />

mol m -3 NaCl) and MS4c (MS4, 75 mol m -3 NaCl) media. Maximum of 8.41 ± 0.36 plantlets callus -1 were<br />

regenerated in MS4 (control) culture of Thatta-10, and 4.94 ± 0.05 plantlets of CPF-237 in 25 mol m -3 NaCl<br />

stressed plant regeneration (MS4a) medium. Plant regeneration on MS4b (2.21 ± 0.17 plantlets callus -1 )<br />

was observed in CPF-237 only. Regenerated plantlets were rooted and considered as salt tolerant in<br />

comparison to its parent cultivars.<br />

Key words: Kinetin, somatic embryos, regenerated plantlets, Saccharum officinarum.<br />

INTRODUCTION<br />

Today, about 65% sugar is contributed by sugarcane<br />

(Saccharum spp.) of the world (Alam et al., 1995). It is a<br />

cash as well as domestic food source. Unfortunately, a<br />

number of disease and abiotic factors such as cold,<br />

drought and salinity have been reducing its vegetative<br />

production significantly. Improvement of this crop against<br />

these stresses has gained great importance. Sugarcane<br />

is heterozygous crop naturally. In vitro selection is<br />

important for superior somaclones. It is a supplementary<br />

tool for the development of stress resistant plants through<br />

*Corresponding author. E-mail: rao.ikram@yahoo.com. Tel:<br />

+92-345-2914291.<br />

Abbreviations: MS, Murashige and Skoog basal salts; NaN3,<br />

sodium azide; 2,4-D, 2,4-dichlorophenoxyaceticacid; kin,<br />

kinetin; BAP, benzyleaminopurine; NaCl, sodium chloride; F<br />

Wt, fresh weight; D Wt, dry weight.<br />

traditional breeding (Dix, 1993; Ashraf, 1994).<br />

Among aseptic plant cultures, plant regeneration<br />

through callus development and somatic embryogenesis<br />

has got initial prime step for manipulation of crops by<br />

<strong>using</strong> modern biotechnological techniques (Saharan et<br />

al., 2004). This technique is also important to exploit the<br />

induced as well as existed somaclonal variations among<br />

the cultured explants or multiplied calluses (Islam et al.,<br />

2011). Aseptic plant cell selection of relative salt tolerant<br />

genotypes or cell lines is possible and it has been<br />

reported in many plant species (Alvarez et al., 2003;<br />

Gandonou et al., 2005; Lutts et al., 1999; Haq et al.,<br />

2011). In vitro plant regeneration has always remained an<br />

excellent tool for diagnosis of correlation for plant<br />

morphogenesis against salt stress.<br />

Sodium azide is an important and most powerful<br />

chemical mutagen for crop plants. It affects plant<br />

physiology significantly and decreases cyanide resistant<br />

plant respiration among the callus cultures (Wen and


Liang, 1995). It is a well known prominent mutagenic in<br />

several plants and animals (Grant and Salamone, 1994).<br />

Sodium azide is functionally mutagenic chemical in<br />

various organisms, but not in Drosophila (Kamra and<br />

Gallopudi, 1979; Arenaz et al., 1989) and Arabidopsis.<br />

Actually, mutagenicity in living systems is mediated<br />

through biosynthesis of organic metabolite of azide compound<br />

(Owais and Kleinhofs, 1988). This metabolite<br />

creates point mutation in DNA when entering into the<br />

nucleus (Gichner and Veleminsky, 1977).<br />

Aseptic plant regeneration has been an incremental<br />

tool for mutation induction, while totipotency of a single<br />

cell is a useful work for the establishment of pure form of<br />

species. It can facilitate the development of several numbers<br />

of its new genotypes (Mandal et al., 2000; Barakat<br />

et al., 2010; Al-Qurainy and Khan, 2010). Similarly,<br />

indirect plant regeneration in sugarcane has been<br />

established for some local sugarcane cultivars by Haq et<br />

al. (2011). This protocol could be utilized successfully for<br />

the improvement of sugarcane through in-vitro<br />

mutagenesis to develop more selected and unique<br />

relevant traits of this crop.<br />

The aim of the present study was to induce mutation in<br />

initial explants of sugarcane (Saccharum officinarum L.)<br />

cultivars, after which they are subjected to callus growth<br />

and then subsequent plant regeneration under different<br />

saline stressed cultures. Cell lines are selected on the<br />

basis of growth behaviors under NaCl stressed conditions.<br />

Regenerated plantlets under NaCl stressed conditions<br />

may be involved in inducing salt tolerance.<br />

Developed plantlets may be resistant sources against<br />

saline stressed culture conditions.<br />

MATERIALS AND METHODS<br />

Explants sterilization and NaN3 treatment<br />

Immature bases of leaf tips (0.8 to 1.2 cm) were excised. These tips<br />

were sterilized by washing with 90% ethanol for 2 min. They were<br />

stirred in 30% commercially available Robin Bleach ® (5.25% v/v<br />

NaOCl) for 30 min. Sterilized explants were treated with 0.5% NaN3<br />

for 6-days that was supplied in call<strong>using</strong> medium (MS2). The pH of<br />

medium was adjusted to 4.6 to 4.7.<br />

Callus induction and its proliferation<br />

After the treatment of NaN3, explants were sub-cultured on NaN3<br />

free medium, MS2 [MS basal salts (Murashige and Skoog, 1962);<br />

vitamins B 5 complex (Gamborg et al., 1968); 2% sucrose and<br />

solidified with 8% agar medium supplemented with 3.0 mg L -1 2,4dichlorophenoxy<br />

acetic acid (MS2).<br />

Somatic embryogenesis and plant regeneration<br />

For somatic embryo induction, well proliferated calluses (>6-weeks<br />

old) on MS2 medium were sub-cultured on MS3 medium<br />

supplemented with kin (0.4 mg L -1 ), BAP (0.5 mg L -1 ) and casein<br />

hydrolysate (0.3 g L -1 )] in dark conditions. After 3-weeks, culture<br />

was sub-cultured on MS4 (0.3 mg L -1 BAP, 0.2 mg L -1 kin, 3%<br />

Ikram-ul-Haq et al. 16153<br />

glucose) medium for plant regeneration under dark conditions.<br />

When plant regeneration started, cultures were shifted to light<br />

conditions for further development.<br />

Application of NaCl treatments<br />

Four levels of salt (NaCl) stress were maintained at call<strong>using</strong> stage<br />

that is MS2 (control), MS2a (MS2, 25 mol m -3 NaCl), MS2b (MS2, 50<br />

mol m -3 NaCl) and MS2c (MS2, 75 mol m -3 NaCl). Cultures were<br />

incubated under dark conditions for 6-weeks. At plant regeneration<br />

stage, calluses <strong>from</strong> MS2, MS2a, MS2b and MS2c were sub-cultured<br />

on MS4, MS4a (MS4, 25 mol m -3 NaCl) and MS4b (MS4, 50 mol m -3<br />

NaCl) and MS4c (MS4, 75 mol m -3 NaCl) media after somatic<br />

embryo induction (MS3) for 6-weeks also.<br />

Determination of morphological attributes<br />

The 6-weeks old calluses multiplied under NaCl stressed conditions<br />

were fragmented into small pieces and weighed at an interval of 6weeks.<br />

Callus proliferation rate was calculated by applying the<br />

formula below:<br />

Callus proliferation (%):<br />

Callus Final Wt − Callus<br />

Callus<br />

Final<br />

Wt<br />

Initial<br />

Wt<br />

x 100<br />

These fragmented calluses were dried after taking F Wt weight at<br />

72°c for three days, and then D Wt was determined by electric<br />

balance. The relative water contents (RWC) were calculated<br />

(Robinson and Neil, 1985; Conroy et al., 1988).<br />

After 12-weeks of plant regeneration culture, the number of<br />

regenerated plantlets callus -1 and their heights was measured.<br />

The pH of plant nutrient medium was adjusted (5.7-5.8) before<br />

sterilization. The cultures for callus growth and somatic embryo<br />

induction were incubated under dark conditions, while plant<br />

regeneration was also done under dark condition for initial 6-weeks;<br />

16<br />

it was transferred to h day and light conditions (light intensity 15<br />

8<br />

µmol m -2 s -1 ) at 25ºC±1.<br />

Data analysis<br />

Cultures for each treatment were maintained and comprised 7<br />

replicates. Data significance of treatment was computed with<br />

COSTAT computer package (CoHort software, Berkeley, USA).<br />

RESULTS AND DISCUSSION<br />

The In-vitro culture based on mutational breeding is an<br />

important conventional method for crop improvement.<br />

This method is based on alterations of nucleotide<br />

sequence of DNA within a gene through exposure of<br />

vegetative or reproductive parts to physical as well as<br />

chemical mutagens. In vitro cultures are controlled<br />

phenomena that allow better treatment of mutagen and<br />

further vitrified tissues become easily permeable to<br />

mutagen (Ziv, 1991). The NaN3 is water soluble that<br />

dissociates into hydrozoic ions. Its ionization capacity is<br />

very high, when dissolved in phosphate buffer at low pH<br />

(3.2), almost 19 times more than at pH 6.0. It penetrates<br />

through cell membrane and interacts with genome to


16154 Afr. J. Biotechnol.<br />

Figure 1. A schematic<br />

representation of aspetic plant<br />

regeneration of sugarcane cultivars<br />

<strong>from</strong> NaN3 treated explants under<br />

different levels of NaCl stresses.<br />

create mutation (Kleinhofs et al., 1974).<br />

In general, normal plant regeneration in sugarcane<br />

through somatic embryogenesis is obtained within 20weeks.<br />

During this study, mutagenic plantlets were<br />

regenerated, when 0.8-1.20 sized meristematic bases of<br />

young leaves were treated with 0.5% NaN3 on callus<br />

induction medium as well as multiplication medium<br />

(MS2n) for 6-days (Figure 1). They were washed with<br />

liquid call<strong>using</strong> medium and again sub-cultured on<br />

mutagen free call<strong>using</strong> medium (MS2). They were also<br />

cultured on NaCl stressed callus growth media such as<br />

MS2a, MSb2 and MS2c. After 6-weeks of culture, calluses<br />

were excised <strong>from</strong> the explants and their F Wt was taken.<br />

These calluses were sub-cultured again on their<br />

respective medium for further multiplication (Figure 2) for<br />

6-weeks under dark conditions. Final F Wt of calluses<br />

<strong>from</strong> each treatment was measured again. Maximum<br />

callus proliferation (72.34±3.70%) rate was observed on<br />

MS2 culture of CPF-237, while lower 7.48±0.85% in<br />

SPHS-19 significantly (Table 1). After final F Wt, calluses<br />

were dried, and then D Wt was taken. Relative water<br />

contents were also observed among the calluses that<br />

were higher in Thatta-10 (75.32 ± 3.37), but lower in NaCl<br />

stressed cultures significantly (Table 1). The continuous<br />

callus cultures on NaCl stressed medium causes<br />

induction of some characteristics such as to stop growth,<br />

abnormality or resistance in callus against salt stresses<br />

(Haq et al., 2011; Htwe et al., 2011).<br />

Apparently, well proliferated calluses in call<strong>using</strong><br />

control (MS2) as well as NaCl stressed cultures were subcultured<br />

on somatic embryogenesis medium (MS3) for<br />

three weeks separately. After somatic embryo induction,<br />

calluses were sub-cultured on plant regeneration medium<br />

(MS4) as well as on NaCl stressed plant regeneration<br />

medium on the basis of their respective already<br />

developed medium (control and salt stressed). Maximum<br />

plant regeneration was observed in control (MS4) plant<br />

regeneration cultures of each cultivar. Plant regeneration<br />

efficiency was decreased with the increase in NaCl<br />

stress. No plant regeneration was observed in MS4c in all<br />

cultivars. Similarly, plant regeneration was not observed<br />

on MS4b cultures of Thatta-10 and SPHS-19, while<br />

2.21±0.17 plantlets callus -1 was regenerated in CPF-237<br />

sugarcane cultivar (Table 1, Figure 3). Plant height of the<br />

regenerated plantlets of CPF-237 was less than other<br />

cultivars on each of control as well as NaCl stressed<br />

cultures.<br />

Meanwhile, NaN3 remained a potential mutagen under<br />

in vitro that induces biochemical mutant regeneration<br />

(Hibberd et al., 1982; Bhagwat and Duncan, 1998).<br />

Although, this mutagen causes gene alterations or<br />

mutations at gene level, it also causes chromosomal<br />

aberration mostly (El-Den, 1993; Del Campo et al., 1999).<br />

Morphologically, immediate effects of NaN3 on cultured<br />

meristematic cells appear to be blocked in callus<br />

induction or its proliferation. This is because of<br />

blackening action of genome separation and its<br />

multiplication at S-phased during cell cycle. Further, it is<br />

reported that some induced mutant biochemical causes<br />

inhibition of respiratory chains as well as electron chain<br />

(Johnsen et al., 2002). Through multidisciplinary actions<br />

of NaN3, it is impossible to detect its action in explants.<br />

In this study, mutagenic plantlets were mostly abnormal,<br />

while abnormal plantlets were removed and normal<br />

plantlets were allowed to grow in NaCl stressed plant<br />

regeneration medium. These regenerated plantlets in<br />

CPF-237 were expected to be salt tolerant in comparison<br />

to plantlets regenerated in control (MS4) medium in open<br />

air soil conditions.<br />

ACKNOWLEDGEMENT<br />

The authors are thankful to the Pakistan Agriculture<br />

Research Council (PARC), Islamabad, Pakistan for<br />

providing funds under ALP research program to carry out<br />

this present research work.


Figure 2. Call<strong>using</strong> in sugarcane (Saccharum officinarum L.) cv.,<br />

CPF-237 after mutagen (NaN3) treatment for 6-days on different<br />

NaCl stresses. a: Call<strong>using</strong> on MS nutrient medium with 0 mM NaCl<br />

(MS2); b: Callus proliferation on MS nutrient medium with 25 mM<br />

NaCl (MS2a); c: Culture on 50mM NaCl (MS2b); d: On 75mM NaCl<br />

culture (MS2c).<br />

Ikram-ul-Haq et al. 16155<br />

Table 1. Some callus growth and plant regeneration related parameters of 6-days NaN3 stressed sugarcane cultivars<br />

cultured on different NaCl stressed nutrient media.<br />

Name of cultivars Medium Thatta-10 CPF-237 SPHS-19<br />

Sub-cultures of NaN3 treated explants on different NaCl stressed cultures<br />

a. Callus proliferation (%) MS2 67.18±3.26 72.34±3.70 57.66±4.34<br />

*** MS2a 49.07±3.93 38.33±3.69 38.57±1.50<br />

MS2b 42.27±2.16 17.03±2.32 20.48±1.09<br />

MS2c 28.61±3.62 34.15±1.08 7.48±0.85<br />

b. Relative water contents (%) MS2 75.32±3.37 74.08±2.33 75.16±3.14<br />

** MS2a 71.44±2.69 63.37±2.69 64.97±3.44<br />

MS2b 58.69±3.06 52.14±2.12 54.60±3.40<br />

MS2c 49.45±4.17 56.93±2.15 48.47±2.04<br />

Number of regenerated plantlets callus -1 on NaCl stressed cultures and their heights<br />

a. No. of plantlets callus -1 MS4 8.41±0.36 6.25±0.13 6.95±0.05<br />

MS4a 1.33±0.24 4.94±0.05 0.92±0.09<br />

MS4b - 2.21±0.17 -<br />

MS4c - - -<br />

b. Plant heights (cm) MS4 4.61±0.03 4.02±0.25 4.05±0.05<br />

MS4a 1.66±0.34 3.25±0.11 2.02±0.03<br />

MS4b - 2.10±0.05 -<br />

MS4c - - -


16156 Afr. J. Biotechnol.<br />

REFERENCES<br />

Figure 3. Plant regeneration in sugarcane (Saccharum officinarum L.) cv.,<br />

CPF-237 under different NaCl stresses. a: Shoot multiplication on MS nutrient<br />

medium with 0 mM NaCl (MS4); b: Plant multiplication on MS nutrient medium<br />

with 25 mM NaCl (MS4a); & c: Culture on 50mM NaCl stressed culture (MS4b).<br />

Alam MZ, Haider SA, Islam R, Joarder OJ (1995). High frequency in<br />

vitro plant regeneration in sugarcane. Sugarcane 6: 20-21.<br />

Al-Qurainy F, Khan S (2010). Mutational approach for enhancement of<br />

artemisinin in Artemisia annua. J. Med. Plants Res. 4(17): 1714-<br />

1726.<br />

Alvarez I, Tomaro, LM, Benavides PM (2003). Changes in polyamines,<br />

proline and ethylene in sunflower calluses treated with NaCl. Plant<br />

Cell Tiss. Org. Cult. pp. 1-9.<br />

Arenaz P, Hallberg L, Mancillas F, Gutierrez G, Garcia S (1989).<br />

Sodium azide mutagenesis in mammals; inability of mammalian cells<br />

to convert azide to mutagenic intermediate. Mutation Res.277: 63-67.<br />

Ashraf M (1994). Breeding for salinity tolerance in plants. Crit. Rev.<br />

Plant Sci. 13: 17- 42.<br />

Barakat MN, Rania S. Fattah A, Badr M, El-Torky MG (2010). In vitro<br />

mutagenesis and identification of new variants via RAPD markers for<br />

improving Chrysanthemum morifolium. Afr. J. Agric. Res. 5(8): 748-<br />

757.<br />

Bhagwat B, Duncan EJ (1998). Mutation breeding of banana cv<br />

Highgate (Musa spp., AAA Group) for tolerance to Fusarium<br />

oxysporum f.sp. cubense <strong>using</strong> chemical mutagens. Sci. Hort. 73: 11-<br />

22.<br />

Conroy JP, Virgona JM, Smillie RM, Barlow EW (1988). Influence of<br />

drought acclimation and CO2 enrichment on osmotic adjustment and<br />

chlorophyll a fluorescence of sunflower during drought. Plant Physiol.<br />

86: 1108-1115.<br />

Del Campo G, Antonio R, Coletto O (1999). Induction of chromosomal<br />

aberrations during replication phase (S) by Sodium azide in root<br />

meristems of Allium cepa L. Ciencia (Maracaibo) 7(2): 118-125.<br />

Dix PJ (1993). The role of mutant cell lines in studies on environmental<br />

stress tolerance: an assessment. Plant J. 3: 309-313.<br />

El-Den JB (1993). Development of a new barley line by induced<br />

mutation. Rachis 12(½): 8-10.<br />

Gamborg OL, Miller RA, Ojima K (1968). Nutrient requirement<br />

suspension cultures of soybean root cells. Exp. Cell Res. 50: 151-<br />

158.<br />

Gandonou CH, Abrina J, Idaomar M, Skali Senhaji N (2005). Response<br />

of sugarcane (Saccharum sp) varieties to embryogenic callus<br />

induction and in vitro salt stress. Afr. J. Biotechnol. 4(4): 350-354.<br />

Gichner T, Veleminsky J (1977). The very low mutagenic activity of<br />

sodium azide in Arabidopsis thaliana. Biol. Plant. 19: 153-155.<br />

Grant WF, Salamone MF (1994). Comparative mutagenicity of<br />

chemicals selected for test in the international program on chemical<br />

safety collaborative study on plant systems for the detection of<br />

environmental mutagens. Mutation Res. 310: 187-209.<br />

Haq I, Memon S, Parveen N, Yasin G, Muhammad A (2011). Relative<br />

salt tolerant plants regenerated on nacl stressed cultures of<br />

sugarcane. J. Life Sci. (Accepted).<br />

Hibberd KA, Green CE (1982). Inheritance and expression of Lysine<br />

plus Threonine resistance selected in maize tissue culture. PNAS.<br />

79: 559-563.<br />

Htwe NN, Maziah M, Ling HC, Zaman FO and Zain AM (2011).<br />

Responses of some selected Malaysian rice genotypes to callus<br />

induction under in vitro salt stress. Afr. J. Biotechnol. 10(3): 350-362.<br />

Islam KMN, Misbahuzzaman K, Majumder AK and Chakrabarty M<br />

(2011). Efficiency of different coagulants combination for the<br />

treatment of tannery effluents: A case study of Bangladesh. Afr. J.<br />

Environ. Sci. Tech. 5(6): 409-419.<br />

Johnsen AR, Bendixen K, Karlson U (2002). Detection of microbial<br />

growth on polycyclic aromatic hydrocarbons in microtiter plates by<br />

<strong>using</strong> the respiration indicator WST-1. Appl. Env. Microbiol. 68(6):<br />

2683-2689.<br />

Kamra OP, Gallopudi B (1979). Mutagenic effects of sodium azide in<br />

Drosophila melanogaster. Mutation Res. 25: 381-384.<br />

Kleinhofs A, Sander C, Nilan RA, Konzak CF (1974). Azide<br />

mutagenicity-mechanism and nature of mutants produced. - In<br />

Polyploidy and Inducrtl Mutations in Plant Breeding. Proc. mcvting<br />

Bari, FAOIIAEA, 0ct. 1972, IAEA, Vienna, p. 195-199.<br />

Lutts S, Bouharmont J, Kinet JM (1999). Physiological characteristics of<br />

salt-resistant rice (Oryza sativa L.) somaclone. Aust. J. Bot. 47: 835-<br />

849<br />

Mandal AKA, Chakrabarty D, Datta S (2000). In vitro isolation of solid<br />

novel flower colour mutants <strong>from</strong> induced chimeric ray florets of<br />

chrysanthemum. Euphytica 114: 9-12.<br />

Murashige T, Skoog FA (1962). Revised medium for rapid growth and<br />

bioassays with tobacco tissue cultures. Physiol. Plant. 154: 73-479.<br />

Owais WM, Kleinhofs A (1988). Metabolic activation of the mutagen<br />

azide in biological systems. Mutation Res. 197: 313-323.<br />

Robinson JC, Neil DJ (1985). Comparative morphology, phenology and<br />

production potential of banana cultivars ‘Dwarf Cavendish’ and<br />

‘Williams’ in the Eastern Transvaal Lowveld. Sci. Hortic. 25: 149-161.<br />

Saharan V, Yadav RC, Yadav RN, Chapagain BP (2004). High<br />

frequency plant regeneration <strong>from</strong> desiccated calli of indica rice<br />

(Oryza Sativa L.). Afr. J. Biotechnol. 3(5): 256-259.<br />

Wen JG, Liang HG (1995). Effect of KCN and NaN3 pretreatment on<br />

the cyanide resistant respiration in tobacco callus. Acta Bot. Sin.<br />

37:711-717.<br />

Ziv M (1991). Vitrification: Morphological and physiological disorders of<br />

in vitro plants. In: Mocropropagation: Technology and Application, pp<br />

45-69. (Eds.): PC Debergh and RH Zimmerman). Dordrecht: Kliwer.


African Journal of Biotechnology Vol. 10(72), pp. 16157-16166, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1559<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Proteomic and transcriptomic analysis reveals<br />

evidence for the basis of salt sensitivity in Thai jasmine<br />

rice (Oryza sativa L. cv. KDML 105)<br />

Wichuda Jankangram 1 , Sompong Thammasirirak 2 , Meriel G. Jones 3 , James Hartwell 3 and<br />

Piyada Theerakulpisut 1 *<br />

1 Genomics and Proteomics Research Group for Improvement of Salt-tolerant Rice, Department of Biology, Faculty of<br />

Science, Khon Kaen University, Khon Kaen 40002, Thailand.<br />

2 Department of Biochemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.<br />

3 School of Biological Sciences, Biosciences Building, Crown Street,University of Liverpool, Liverpool, UK.<br />

Accepted 26 September, 2011<br />

The fragrant Thai jasmine rice cultivar, Khao Dawk Mali 105 (KDML 105), is an economically important<br />

cultivar with valuable flavour characteristics, however, it is very sensitive to salinity. To investigate<br />

whether genetic characters for salt-tolerance are present, proteomes <strong>from</strong> the leaf lamina of KDML 105<br />

and a contrasting salt tolerant cultivar (Pokkali) were compared under saline conditions. Ten differential<br />

proteins were identified, mainly representing gene products involved in photosynthesis, carbon<br />

assimilation and the oxidative stress response. The mRNA transcripts for these proteins were then<br />

monitored in both cultivars <strong>using</strong> semi-quantitative reverse transcription-polymerase chain reaction<br />

(RT-PCR). For Pokkali, the up-regulation of nine identified salt-induced proteins was related to the<br />

increase in abundance of the respective mRNA transcripts. In contrast, although mRNA transcripts<br />

encoding all ten identified proteins could be detected in KDML 105, only three differential proteins<br />

spots were detected in the proteomic analysis. This indicates that although KDML 105 contains<br />

elevated transcript level of genes needed for salt tolerance, the posttranscriptional mechanisms<br />

controlling protein expression levels were not as efficient as in Pokkali, indicating targets for future<br />

genetic improvement.<br />

Key words: Salt stress, fragrant rice, Oryza sativa L., Khao Dawk Mali 105 (KDML 105), proteomics, semiquantitative<br />

RT-PCR.<br />

INTRODUCTION<br />

Salt-affected soils in arid and semi-arid regions are a<br />

major factor adversely affecting rice growth and<br />

productivity worldwide. This area is likely to increase as a<br />

result of increasing irrigation, land clearance, shortage of<br />

rainfall and rising temperatures due to global warming<br />

(Yeo, 1999). Excess soil solution Na + imposes root<br />

*Corresponding author. E-mail: piythe@kku.ac.th. Tel: 6643<br />

342908 or 089 6231777. Fax: 6643 364169.<br />

osmotic stress, and this in turn limits the root’s ability to<br />

extract water <strong>from</strong> the soil. Several complementary<br />

biochemical and physiological adaptations are generally<br />

necessary to establish salt tolerance. These include salt<br />

exclusion at the root level, compartmentalization of toxic<br />

ions <strong>from</strong> the intracellular to whole-plant levels, responsive<br />

stomata, synthesis of compatible solutes, adjustment<br />

in photosynthetic apparatus, alteration of membrane<br />

integrity and efficient detoxification of reactive oxygen<br />

species (Parida and Das, 2005). Rice plants are relatively<br />

sensitive to soil salinity, but salinity tolerance varies


16158 Afr. J. Biotechnol.<br />

tremendously among varieties providing opportunities to<br />

improve crop salt-stress tolerance through genetic means<br />

(Flowers and Yeo, 1981; Mohammadi-Nejad et al., 2008;<br />

Cha-um et al., 2010). Salt-tolerant rice varieties such as<br />

Pokkali have been found to be superior in agronomic<br />

characters such as yield, survival, plant height, and<br />

physiological traits such as ion exclusion (Heenan et al.,<br />

1988; Noble and Rogers, 1992), anti-oxidative systems<br />

(Vaidyanathan et al., 2003) and membrane stability<br />

(Singh et al., 2007).<br />

Proteomics has been used to identify proteins affected<br />

by salinity in several cultivars of rice. Previously identified<br />

salt stress-responsive proteins include ones involved in<br />

major metabolic processes including photosynthetic<br />

carbon dioxide assimilation and photorespiration, photosynthetic<br />

oxygen evolution and stress-responsive proteins<br />

(Kim et al., 2005; Parker et al., 2006). DNA microarrays<br />

have also been applied to monitor changes in the steadystate<br />

abundance of salt-stress regulated transcripts<br />

(Kawasaki et al., 2001; Rabbani et al., 2003). These<br />

studies have identified large numbers of differentially<br />

expressed genes. A recent comparative transcriptomic<br />

analysis of two contrasting rice cultivars (salt-tolerant<br />

Pokkali and salt-sensitive IR64) found a set of genes<br />

representing the signal, relay and response classes of<br />

salt-regulated genes proposed to confer higher salt<br />

tolerance to Pokkali (Kumari et al., 2009).<br />

Several salt sensitive varieties of rice are economically<br />

important because of its characteristics other than yield.<br />

These include the culinary qualities associated with grain<br />

flavour and texture. Thai jasmine rice (also known as<br />

Thai fragrant or Hom Mali rice) is sold at a premium price<br />

because of its superior cooking and sensory qualities,<br />

including fragrance. Thai national authenticity regulations<br />

confine jasmine rice to two cultivars. One of these is<br />

Khao Dawk Mali 105 (KDML 105) that was introduced in<br />

1958 and continues to be grown extensively despite its<br />

low yields and stress-sensitivity (Fitzgerald et al., 2009).<br />

The highest quality KDML 105 is produced in the<br />

Northeast region of Thailand where high productivity is<br />

obstructed by infertile, saline soil and unstable rainfall<br />

(Yoshihashi et al., 2002). Compared to the coastal, salttolerant<br />

<strong>India</strong>n cultivar Pokkali, KDML 105 seedlings are<br />

sensitive to salt stress as indicated by a greater reduction<br />

in plant dry weight, higher Na + /K + and higher electrolyte<br />

leakage (Theerakulpisut et al., 2005). Improvements to<br />

the growth performance of KDML 105 in saline laboratory<br />

media have been demonstrated after providing the<br />

protective metabolite glycinebetaine (Cha-um et al.,<br />

2006) but this is not practical in the field.<br />

A key challenge is to identify genes that control traits<br />

associated with physiological and agronomical parameters<br />

leading to higher salt tolerance while retaining<br />

grain quality, with the goal to accelerate both conventional<br />

and molecular breeding of cultivars with desirable<br />

culinary qualities that will grow in saline soil. One ques-<br />

tion is whether salt sensitive varieties already contain<br />

some of these genes but do not regulate them appropriately<br />

with respect to salinity. We have identified that<br />

although genes for a series of transcripts and proteins<br />

that increase in Pokkali seedling leaves when grown in<br />

saline conditions are also present in KDML 105, the<br />

levels of most proteins do not increase. This suggests<br />

that in KDML 105, salt sensitivity may lie in signaling and<br />

regulation of the response.<br />

MATERIALS AND METHODS<br />

Plant materials<br />

The rice seeds of cultivars KDML 105 and Pokkali were provided by<br />

Pathumthani Rice Research Institute, Thailand. Seeds were<br />

surface-sterilized by soaking in 1.5% (w/v) calcium hypochlorite for<br />

30 min, thoroughly washed and germinated in distilled water. The<br />

uniformly germinated seeds were transferred to a plastic grid placed<br />

over a 6-L container filled with distilled water. After five days, when<br />

the seedlings were well-established, distilled water was replaced by<br />

nutrient solution (Yoshida et al., 1976) that was renewed every<br />

week. When the seedlings were 21-days-old, the nutrient solution<br />

was changed to Yoshida solution supplemented with 120 mM NaCl<br />

and after a further seven days, the third leaves were harvested,<br />

frozen in liquid nitrogen and stored at -80°C until further use. The<br />

experiments were performed in triplicate to obtain three<br />

independent samples of rice seedlings for protein and RNA<br />

analysis.<br />

Protein extraction and two-dimensional electrophoresis (2DE)<br />

The leaves were ground in liquid nitrogen and suspended in 50 mM<br />

sodium acetate of pH 5.0. The homogenate was centrifuged at<br />

14,400 g for 10 min. The supernatant was transferred to a new tube<br />

and 50% trichloroacetic acid was added to a final concentration of<br />

10% and the mixture was allowed to precipitate on ice for 30 min.<br />

Each sample was then centrifuged at 14,400 g for 10 min to obtain<br />

a protein pellet. After the pellet was washed with 100 µl ice-cold<br />

ethanol and resuspended in 100 µl lysis solution (8 M urea, 4%<br />

CHAPS, 40 mM Tris-base), the protein concentration was<br />

determined (Bradford, 1976). The protein samples were then<br />

diluted into the rehydration buffer (7 M urea, 2 M thiourea, 2% (w/v)<br />

CHAPS, 2 mM DTT, 0.8% (w/v) IPG buffer and 0.2% bromophenol<br />

blue), and allowed to rehydrate for at least 1 h on ice. Samples (100<br />

µg) were then loaded onto immobilized pH gradient (IPG) strips (7<br />

cm, pH 4 to 7, pH 3 to 10, GE Healthcare, Sweden), and isoelectric<br />

foc<strong>using</strong> (IEF) was conducted (IPGphor TM Isoelectric Foc<strong>using</strong><br />

System, GE Healthcare, Sweden). IEF was performed at 400, 1000<br />

and 2000 V for 1, 12 and 1 h, respectively. After the IEF run, the<br />

IPG strip was then equilibrated in equilibration buffer [62.5 mM Tris-<br />

HCl Ph 6.8, 2.5% sodium dodecyl sulfate (SDS), 10% (v/v) glycerol<br />

and 5% (v/v) 2-mercaptoethanol] for two periods of 15 min each.<br />

The second dimension SDS electrophoresis was performed in<br />

12.5% polyacrylamide gels (Hoefer SE600, GE Healthcare, USA).<br />

The gels were stained with 0.1% colloidal Coomassie Brilliant Blue<br />

(CBB) G-250. The relative molecular mass of each protein was<br />

determined <strong>using</strong> standard markers (Amersham Bioscience, USA)<br />

and the isoelectric point (pI) by the migration of the protein spots on<br />

the IPG strip. The positions of individual proteins on the gels were<br />

evaluated automatically with 2-Dimension software (SineGene,<br />

USA).


Table 1. Primers sequences for RT-PCR analysis and their product size.<br />

Jankangram et al. 16159<br />

Primer name Forward primer Reverse primer<br />

Product<br />

size (bp)<br />

23 kDa polypeptide PSII (PSII-23) CCAGGAAGTTTGTCGAGAGC GAAACACACACGCACACACA 162<br />

Rubisco large subunit (Rubisco) GCTGCGGAATCTTCTACTGG GTAGAGCGCGTAAGGCTTTG 229<br />

Rubisco activase (RCA) TGTGGAGAACATTGGCAAGA CGCAGAACCGTAGAAGGAAC 223<br />

Putative oxygen evolving complex protein<br />

(OEC18)<br />

Fructose-bisphosphate aldolase, chloroplast<br />

precursor, putative, expressed (FBA)<br />

Sedoheptulose-1,7-bisphosphatase precursor<br />

(SBP)<br />

GCCAAGCCAGTAAAGCAAAG TGAAGTCGACGCACATTCTC 181<br />

GGGCGGAGACCTTCTTCTAC GTTCATCGCGTTCAGGTTCT 236<br />

CTCTTGATGGGTCCAGCATT ACATGCTGCCATTTTCCTTC 214<br />

40 kDa thylakoid lumen PPIase (TLP40) GGCACTGAGTAATGGGAGGA GCTTTGGAGCTACTGCATCC 152<br />

Phosphoglycolate phosphatase (PGP) CGATTTCCCCAAAGACAAGA ACCCTGGATTCTCACGAATG 242<br />

2-Cys peroxiredoxin BAS1, (Prx) TGAGACCATGAGGACCCTTC GATCAGACGAGCACACGGTA 244<br />

Thioredoxin Type H (Trx) TGCCGACCTTCCTATTCATC TCGCATGATATTCGAGGACA 240<br />

salT (salT) GGAATATGCCATTGGTCCAT GTCTTGCAGTGGAATGCTGA 214<br />

Ubiquitin 5 (UBQ5) ACCACTTCGACCGCCACTACT ACGCCTAAGCCTGCTGGTT 69<br />

Gel scanning and computer analysis<br />

The CBB-stained gels were scanned <strong>using</strong> a Cannon scanner<br />

(SineGene, USA) at a resolution of 600 dpi. Image editing, spot<br />

detection and protein quantification were carried out with 2-<br />

Dimension software (SineGene, USA). The gel scanning protocol<br />

was first subjected to background subtraction and smoothed to<br />

produce a synthetic gel image. The different gel patterns were<br />

compared, some spots were manually edited and matched to each<br />

other and then the quantities of matched spots were determined.<br />

The amount of a protein spot was expressed as the volume,<br />

defined as the sum of the intensities of all the pixels that made up<br />

the spot. The spot volumes were normalized as percentage of the<br />

total volume in all of the spots present in the gel.<br />

Mass spectrometry and database search<br />

The protein spots were excised <strong>from</strong> the polyacrylamide gels,<br />

digested with trypsin and subjected to MALDI-TOF-MS analysis at<br />

the Bio Service Unit at the National Science and Technology<br />

Development Agency (Bangkok, Thailand). The generations of<br />

peak lists of peptide mass fingerprints <strong>from</strong> raw MS data were<br />

conducted by Mascot software (Matrix Science, London, UK,<br />

www.matrixscience.com). The acquired peak lists were analyzed by<br />

searching NCBI database with the Mascot software.<br />

RNA extraction and RT-PCR assay of gene transcripts<br />

RNA was isolated <strong>from</strong> leaf tissue previously frozen and ground in<br />

liquid nitrogen <strong>using</strong> the RNeasy plant mini kit (Qiagen, USA)<br />

according to the manufacturer’s instructions. The quality and<br />

quantity of the isolated RNA was determined <strong>using</strong> denaturing<br />

formaldehyde-MOPS agarose gels and spectrophotometric analysis<br />

of the absorbance at 260 nm. cDNA was synthesized <strong>from</strong> one<br />

microgram of DNAse I–treated total RNA <strong>using</strong> the QuantiTect<br />

Reverse Transcription kit (Qiagen, USA) according to the<br />

manufacturer’s protocol. The cDNA products were used as<br />

templates for PCR amplification of gene transcripts as described in<br />

Boxall et al. (2005). The following conditions were used for the PCR<br />

reactions: pre-denaturation at 94°C (1 min) followed by 20 to 35<br />

cycles consisting of 30 s at 95°C (denaturing), 30 s at 55°C<br />

(annealing), 1 min at 72°C (extension) and a final extension for 7<br />

min at 72°C. 12 pairs of forward and reverse primers were used<br />

(Table 1). The primers were designed <strong>from</strong> the nucleotide<br />

sequences of genes encoding ten proteins identified in this study,<br />

one house-keeping gene, ubiquitin5 (UBQ5) (Jain et al., 2006) and<br />

a previously reported salt-regulated gene (salT) (Claes et al., 1990)<br />

<strong>using</strong> Primer3 (http://frodo.wi.mit.edu/primer3/). The PCR products<br />

<strong>from</strong> RT-PCR amplifications were separated on 3% (w/v) agarose<br />

gels and stained with ethidium bromide. The specificity of the<br />

primers was confirmed <strong>from</strong> the size of the PCR band and through<br />

cloning (Topo TA, Invitrogen) and sequencing the PCR products


16160 Afr. J. Biotechnol.<br />

(The Genome Analysis Centre, Norwich, UK) to obtain the<br />

anticipated sequence. Photographic documentation was performed<br />

<strong>using</strong> a gel documentation system (GENEFLASH, Syngene Bioimaging).<br />

For quantitation of relative band intensities, the pixel<br />

intensities of the RT-PCR products were analyzed <strong>using</strong><br />

Metamorph software (Molecular Devices, USA) and normalized<br />

relative to the abundance of the UBQ5 loading control.<br />

RESULTS<br />

Protein expression in leaves<br />

Representative 2DE profiles of leaf proteins <strong>from</strong> control<br />

and salt-stress seedlings of KDML 105 and Pokkali are<br />

shown in Figures 1 and 2, respectively. The total number<br />

of well-separated and reproducible CBB-stained protein<br />

spots was lower in KDML 105 (200) than Pokkali (350),<br />

but matched reproducibly among triplicate gels. From the<br />

difference map generated by the 2-Dimension software,<br />

more than 100 protein spots showed different intensities<br />

between the control and salt-treated conditions. Proteins<br />

differing by at least 3-fold in average intensity between<br />

the control and the salt-treated group were recorded and<br />

confirmed by visual inspection of the stained gels. For KDML<br />

105, salinity treatment induced 25 differential protein spots,<br />

16 up-regulated and nine down-regulated while in<br />

Pokkali, 32 differential spots were detected of which 25<br />

and seven were up-regulated and down-regulated, respectively.A<br />

total of 24 differential protein spots (7 <strong>from</strong><br />

KDML 105 and 17 <strong>from</strong> Pokkali, indicated by arrows in<br />

Figures 1 and 2) were excised <strong>from</strong> three replicate gels<br />

and analyzed. Of these, 12 spots matched the known<br />

proteins with significant (P ≤ 0.05) scores (Table 2). The<br />

number of matched peptides ranged <strong>from</strong> 4 to 13, and<br />

percent sequence coverage <strong>from</strong> 19 to 51%.<br />

All identifications showed a good correlation of<br />

theoretical and experimental pI and molecular weight<br />

(MW). Three salt-induced proteins (number 1 to 3)<br />

(Figure 1) were identified in KDML 105, while nine<br />

proteins (number 4 to 12) (Figure 2) were more abundant<br />

following NaCl stress in Pokkali. For the remaining 12<br />

spots, no significant matches were found due to either a<br />

mixture or a limited amount of protein recovered <strong>from</strong> the<br />

gels.<br />

The majority of the proteins identified as increased in<br />

the salt stressed rice seedlings were associated with a<br />

function in photosynthesis, oxygen evolution and the<br />

Calvin cycle; others were involved in photorespiration and<br />

antioxidant defense systems. In KDML 105, the two that<br />

increased in amount were identified as the 23 kDa<br />

polypeptide of photosystem II (PSII-23) and Rubisco<br />

activase (RCA). The third, which decreased following<br />

salt-stress, was identified as ribulose bisphosphate<br />

carboxylase/oxygenase large subunit (Rubisco). The nine<br />

proteins identified in Pokkali were Rubisco, PSII-23,<br />

putative oxygen evolving complex protein (OEC18),<br />

fructose-bisphosphate aldolase chloroplast precursor<br />

(FBA), sedoheptulose 1,7-bisphosphatase precursor<br />

(SBP), 40 kDa thylakoid lumen PPIase (TLP40), phosphoglycolate<br />

phosphatase (PGP), 2-cys peroxiredoxin<br />

chloroplast precursor protein (Prx) and thioredoxin type H<br />

(Trx).<br />

Effects of salt stress on gene expression in rice<br />

leaves<br />

The mRNA encoding the ten proteins identified by proteomics,<br />

plus two additional control genes (salt-regulated<br />

gene, salT and the house-keeping gene ubiquitin5,<br />

UBQ5), was amplified <strong>using</strong> RT-PCR. Transcripts of all<br />

12 genes were detected in both cultivars (Figure 3). In<br />

KDML 105, the relative abundance of FBA, SBP, TLP40,<br />

PGP, Trx and RCA mRNA increased in the saline<br />

conditions, while the amounts of PSII-23, OEC18, Prx<br />

and Rubisco remained the same as in the control (Figure<br />

3a). In Pokkali, the abundance of all transcripts but<br />

Rubisco increased (Figure 3b), consistent with the<br />

corresponding proteins. Transcripts of the positive control<br />

gene salT were salt-induced in both varieties but more so<br />

in KDML 105 while the abundance of transcripts<br />

encoding the control house-keeping gene UBQ5 differed<br />

little between control and salt-stressed tissues (Figure<br />

3c).<br />

DISCUSSION<br />

Salt-stressed rice leaf proteome<br />

We compared the salt-responsive proteomes <strong>from</strong> the<br />

leaf lamina of two contrasting rice varieties. The majority<br />

of proteins identified at increased levels in the saline<br />

growth medium in the salt-tolerant cultivar Pokkali were<br />

those related to photosynthesis, photorespiration and<br />

defense against oxidative stress. Of the three that could<br />

be identified in KDML 105, the levels of two (PSII-23,<br />

RCA) increased in saline conditions while the level of<br />

Rubisco was dramatically decreased (spot number 2)<br />

(Figure 1) in contrast to the substantially increased level<br />

in Pokkali (spot number 11) (Figure 2). The reduction in<br />

Rubisco under salt stress directly affects photosynthetic<br />

efficiency and growth of salt-sensitive rice genotypes<br />

(Singh et al., 2007). The up-regulation of proteins<br />

involved in photosynthesis (PSII-23, OEC18, Rubisco,<br />

FBA and SBP; Figure 2) in the tolerant genotype Pokkali<br />

points to a higher adaptive ability to adjust the efficiency<br />

of its photosynthetic machinery in response to salt stress<br />

(Cha-um et al., 2010).<br />

Similarly, the increased phosphoglycolate phosphatase<br />

(spot number 9, Figure 2), which is the first enzyme in the<br />

photorespiratory pathway in Pokkali may indicate


(a) (b)<br />

(c) (d)<br />

Jankangram et al. 16161<br />

Figure 1. 2DE-PAGE analysis of proteins extracted <strong>from</strong> leaves of rice cv. KDML 105. 100 µg of proteins<br />

<strong>from</strong> control plants was loaded on IPG strips with a linear gradient of (a) pH 3 to 10 and (c) pH 4 to 7. 100<br />

µg of proteins <strong>from</strong> salt-stressed plants was loaded on IPG strips with a linear gradient of (b) pH 3 to10<br />

and (d) pH 4 to 7. The second dimensional separation was performed <strong>using</strong> a 12.5% polyacrylamide gel<br />

stained with CBB. Proteins showing differential amount between the control and salt-stressed conditions<br />

are shown in circles, while those excised for peptide mass fingerprint analysis are indicated by arrows<br />

4<br />

and those identified are numbered.<br />

stimulation of photorespiration as an electron sink to help<br />

minimize reactive oxygen species (ROS) production<br />

provoked by the increased photosynthetic flux. The low<br />

<strong>internal</strong> CO2 concentration in salt-stressed leaves due to<br />

a response of stomata closure, can lead to enhanced<br />

rates of photorespiration (Rajmane and Karage, 1986;<br />

Fedina et al., 1994). This is an important mechanism for<br />

energy dissipation in order to prevent photoinhibition<br />

occurring through damage to chloroplast components<br />

(Osmond et al., 1997) as well as generating glycine for<br />

the synthesis of glutathione, a component of the oxidative<br />

stress response system (Noctor et al., 1999).<br />

Salt stress imposed on rice plants is known to induce a<br />

secondary oxidative stress (Demiral and Türkan 2005;<br />

Kim et al., 2005; Parker et al., 2006). The increased<br />

levels of proteins involved in defense against oxidative<br />

stress (for example, Prx and Trx) in Pokkali (spot number<br />

10 and 12) (Figure 2) are likely to contribute to more<br />

efficient ROS detoxification and thus reduce cellular<br />

damage (Vaidyanathan et al., 2003; Dooki et al., 2006).


16162 Afr. J. Biotechnol.<br />

(a) (b)<br />

(c) (d)<br />

Figure 2. 2DE - PAGE analysis of proteins extracted <strong>from</strong> leaves of rice cv. Pokkali. 100 µg of<br />

proteins <strong>from</strong> control plants was loaded on IPG strips with a linear gradient of (a) pH 3 to 10 and<br />

(c) pH 4 to 7. 100 µg of proteins <strong>from</strong> salt-stressed plants was loaded on IPG strips with a linear<br />

gradient of (b) pH 3 to 10 and (d) pH 4 to 7. The second dimensional separation was performed<br />

<strong>using</strong> a 12.5% polyacrylamide gel stained with CBB. Proteins showing differential amount<br />

between the control and salt-stressed conditions are shown in circles, while those excised for<br />

peptide mass fingerprint analysis are indicated by arrows and those identified are numbered.<br />

The increase in TLP40 protein, a cyclophilin with a<br />

proposed role in maintenance of the photosynthetic<br />

complexes (Peltier et al., 2002) may also contribute to<br />

maintenance of metabolic activities. This is consistent<br />

with the visual observation of more pronounced leafyellowing<br />

in the salt-sensitive KDML 105 plants.<br />

Earlier proteomic analyses of the salt-stress response<br />

in the rice leaf lamina have reported changes in the<br />

abundance of proteins with functions similar to those<br />

found in this study. Comparing 2DE profiles of rice leaves<br />

(cv. Nipponbare; moderately salt-tolerant), Kim et al.<br />

(2005) detected 55 differentially-expressed CBB-stained<br />

spots, of which 47 were increased over the control. They<br />

were able to identify 33, most of which were involved in<br />

major metabolic processes related to photosynthetic<br />

carbon assimilation and photorespiration. Our study has<br />

also identified an increased level of several of these in<br />

Pokkali (Rubisco, FBA, PGP, SBP) as well as proteins of<br />

the photosystem II complex (PSII-23, OEC18) while only<br />

the PSII-23 protein and RCA were detected at elevated<br />

levels under saline conditions in KDML 105. Considering<br />

the central role of all these enzymes in carbon<br />

metabolism and energy transduction, their increased<br />

abundance in Pokkali under salt stress in our study most


Jankangram et al. 16163<br />

Table 2. Identification of salt responsive proteins in the leaves of rice seedlings cv. KDML 105 (spot 1 to 3) and cv. Pokkali (spot 4 to 12) through MALDI - TOF MS.<br />

Spot<br />

number<br />

Matched protein Score<br />

Measured<br />

MW/pI<br />

Predicted<br />

MW/pI<br />

Sequence<br />

coverage (%)<br />

Matched<br />

peptide<br />

Intensity<br />

ratio<br />

Accession<br />

number<br />

1<br />

23 kDa polypeptide<br />

photosystem II (PSII-23)<br />

81 26.89/6.41 27.09/8.66 45 10 +4 NP - 001058863<br />

2<br />

Rubisco large subunit<br />

(Rubisco)<br />

67 62.30/6.66 53.44/6.04 25 13 -7 ABA96140<br />

3 Rubisco activase (RCA) 90 27.12/4.22 21.73/4.78 39 7 +5 AAK31173<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

11<br />

23 kDa polypeptide of<br />

photosystem II<br />

(PSII-23)<br />

putative oxygen evolving<br />

complex protein (OEC18)<br />

Putative fructosebisphosphate<br />

aldolase,<br />

chloroplast precursor<br />

(FBA)<br />

Sedoheptulose-1,7bisphosphatase<br />

precursor<br />

(SBP)<br />

40 kDa thylakoid lumen<br />

PPIase (TLP40)<br />

Phosphoglycolate<br />

phosphatase (PGP)<br />

2-Cys peroxiredoxin<br />

BAS1,<br />

chloroplast precursor<br />

(Prx)<br />

Rubisco large subunit<br />

(Rubisco)<br />

67 26.36/7.18 27.17/9.06 32 8 +4 AAB82135<br />

104 19.82/8.24 19.77/7.88 35 6 +3 AAM93722<br />

90 43.6/5.64 41.80/6.07 31 9 +6<br />

96 45.61/5.10 42.73/5.83 22 8 +4<br />

ABA91631<br />

AAO22558<br />

93 47.21/4.68 46.79/4.82 19 7 +5 NP - 001061695<br />

81 38.10/5.15 39.81/6.22 25 8 +9 CAH67343<br />

62 27.23/4.80 28.30/5.67 21 4 +5 NP - 001047050<br />

100 25.06/4.90 25.73/6.23 30 7 +7 ABB47308<br />

12 Thioredoxin Type H (Trx) 98 14.10/5.21 14.06/4.92 51 6 +5 1WMJ - A


16164 Afr. J. Biotechnol.<br />

(c) (c) cc<br />

(a) KDML 105<br />

(b) Pokkali<br />

Figure 3. Comparison of relative transcript abundance for genes identified via 2DE-PAGE in leaves <strong>from</strong> (A)<br />

KDML 105 and (B) Pokkali under salt-stress for 7 days (shaded) and control (open). The histogram shows<br />

mean relative transcript abundance <strong>from</strong> three biological replicates (+/- standard error) normalized to UBQ5.<br />

Representative semi-quantitative RT-PCR results are shown beneath (C) for salt stressed (s) and control (c)<br />

samples.<br />

likely reflects altered patterns of carbon flux that may not<br />

be achieved successfully by KDML 105. The fact that we<br />

could not detect a similar elevation of most of these<br />

proteins in KDML 105, and indeed observed a reduction<br />

in Rubisco in saline conditions, may indicate why it is so<br />

sensitive to salt stress. We therefore further compared


the levels of mRNA transcripts for the proteins to<br />

determine whether there were also differences between<br />

the cultivars at this level of gene expression.<br />

Relationship between changes in the level of<br />

transcripts and proteins<br />

In KDML 105, the levels of several transcripts were<br />

unaltered in saline growth conditions (PSII-23, OEC18,<br />

Prx, Rubisco) while levels of the remainder increased.<br />

This contrasts with the proteins of KDML 105 identified in<br />

our study. Levels of RCA strongly increased at both<br />

mRNA and protein level in saline conditions, whereas<br />

PSII-23 was clearly up-regulated at the protein level but<br />

its mRNA abundance was unchanged. The level of<br />

Rubisco transcript was unaltered by salinity even though<br />

the amount of protein decreased. In salt-stressed KDML<br />

105, an increase in the relative transcript abundance was<br />

obtained for several genes (FBA, SBP, Trx) where the<br />

protein products were not detected. In Pokkali, the<br />

corresponding mRNA transcripts encoding all nine upregulated<br />

proteins were increased. The level of transcripts<br />

of RCA, where the protein was not detected, also<br />

increased under saline conditions. Similarly, in both<br />

KDML 105 and Pokkali, the levels of the control saltregulated<br />

transcript SalT increased. This lack of<br />

correlation has been reported by Malakshah et al. (2007)<br />

in which they found no concordance between the<br />

changes in levels of transcripts and proteins of three saltresponsive<br />

genes (remorin, HIR and 14-3-3 protein) in<br />

rice roots. The elevated transcript abundance for<br />

important photosynthetic and protective genes in even<br />

unstressed Pokkali leaves may provide this salt-tolerant<br />

rice variety with better innate adaptation to salt stress<br />

compared to the sensitive KDML 105. A similar observation<br />

was found in a recent comparative transcriptome<br />

map of salinity stress response between Pokkali and<br />

IR64, a salt-sensitive cultivar (Kumari et al., 2009). These<br />

genes included functions in signaling (such as calmodulin<br />

binding protein and the zinc finger transcription factor,<br />

OSAP1), ion transport (including the vacuolar H + -ATPase<br />

and a voltage-dependent anion channel), protective<br />

proteins (such as late embryogenesis abundant proteins<br />

and glutathione-S-transferase II) and proteins with roles<br />

in photosynthesis (Rubisco small subunit).<br />

In conclusion, elevated levels of proteins involved in<br />

photosynthesis, photorespiration and the oxidative stress<br />

detoxification system play important roles in conferring<br />

tolerance to salt stress in the rice cultivar Pokkali by<br />

providing more efficient metabolic readjustment, thus<br />

leading to higher photosynthetic efficiency and hence a<br />

better growth performance. In the economically important<br />

but salt sensitive variety KDML 105, transcripts of some<br />

genes examples are FBA, SBP, TLP40, PGP, Trx and<br />

RCA; were up-regulated upon salt stress and increase in<br />

Jankangram et al. 16165<br />

only two proteins could be detected (PSII-23, RCA). In<br />

addition, levels of the major leaf protein Rubisco<br />

decreased in KDML 105, an observation that is frequently<br />

observed after tissue damage. This provides evidence<br />

that although KDML 105 expresses genes for several<br />

proteins needed for salt tolerance, it is unable to induce<br />

these stress-responsive processes at both transcriptional<br />

and post-transcriptional levels as effectively as Pokkali.<br />

With this information, the challenge is how to under-stand<br />

the regulatory basis for these differences. Improve-ments<br />

to salinity tolerance in economically important cultivars<br />

like KDML 105 will require a comprehensive and<br />

integrated knowledge of the transcriptomic, proteomic<br />

and metabolomic responses to salt. Such large scale<br />

functional genomics studies should allow the key<br />

regulators of salt-tolerance to be elucidated and thus<br />

facilitate attempts to either breed or engineer these traits<br />

into salt-sensitive cultivars like KDML 105.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by a Ph. D. scholarship <strong>from</strong><br />

the Thailand Commission on Higher Education to the first<br />

author and a Khon Kaen University Research Grant to<br />

the corresponding author.<br />

REFERENCES<br />

Boxall SF, Foster JM, Bohnert HJ, Cushman JC, Nimmo HG,<br />

Hartwell J (2005). Conservation and divergence of circadian clock<br />

operation in a stress-inducible crassulacean acid metabolism species<br />

reveals clock compensation against stress. Plant Physiol. 137: 969-<br />

982.<br />

Bradford MM (1976). A rapid and sensitive method for the quantitation<br />

of microgram quantities of protein utilizing the principle of protein-dye<br />

binding. Anal. Biochem. 72: 248-254.<br />

Cha-um S, Supaibulwatana K, Kirdmanee C (2006). Water relation,<br />

photosynthetic ability and growth of Thai Jasmine rice (Oryza sativa<br />

L. ssp. indica cv. KDML 105) to salt stress by application of<br />

exogenous glycinebetaine and choline. J. Agron. Crop Sci. 192: 25-<br />

36.<br />

Cha-um S, Ashraf M, Kirdmanee C (2010) Screening upland rice (Oryza<br />

sativa L. ssp. indica) genotypes for salt-tolerance <strong>using</strong> multivariate<br />

cluster analysis. Afr. J. Biotechnol. 9: 4731-4740.<br />

Claes B, Dekeyser R, Villarroel R, den Bulcke M, Bauw G, Montagu M,<br />

Caplan A (1990). Characterization of a rice gene showing organspecific<br />

expression in response to salt stress and drought. Plant Cell,<br />

2: 19-27.<br />

Demiral T, Türkan I (2005). Comparative lipid peroxidation, antioxidant<br />

defense systems and proline content in roots of two rice cultivars<br />

differing in salt tolerance. Environ. Exp. Bot. 53: 247–257.<br />

Dooki AD, Mayer-Posner FJ, Askari H, Zaiee A, Salekdeh GH (2006).<br />

Proteomic responses of rice young panicles to salinity. Proteomics, 6:<br />

6498-6507.<br />

Fedina IS, Tsonev TD, Guleva EI (1994). ABA as a modulator of the<br />

response of Pisum sativum to salt stress. Plant Physiol. 143: 245-<br />

249.<br />

Fitzgerald MA, McCouch SR, Hall RD (2009). Not just a grain of rice:<br />

the quest for quality. Trends Plant Sci. 14: 133-139.


Flowers TJ, Yeo AR (1981). Variability in the resistance of sodium<br />

chloride salinity within rice (Oryza sativa L.) varieties. New Phytol. 88:<br />

363-373.<br />

16166 Afr. J. Biotechnol.<br />

Heenan DP, Lewin LG, McCaffery DW (1988). Salinity tolerance in rice<br />

varieties at different growth stages. Aust. J. Exp. 28: 343-349.<br />

Jain M, Nijhawan A, Tyagi AK, Khurana JP (2006). Validation of<br />

housekeeping genes as <strong>internal</strong> control for studying gene expression<br />

in rice by quantitative real-time PCR. Biochem. Biophys. Res.<br />

Commun. 345: 646–651.<br />

Kawasaki S, Borchert C, Deyholos M, Wang H, Brazille S, Kawai K,<br />

Galbraith D, Hans JB (2001). Gene expression profiles during the<br />

initial phase of salt stress in rice. Plant Cell, 13: 889-905.<br />

Kim DW, Rakwal R, Agrawal GK, Jung YH, Shibato J, Jwa N-S,<br />

Iwahashi Y, Iwahashi H, Kim DH, Shim I-S, Usui K (2005). A<br />

hydroponic rice seedling culture model system for investigation<br />

proteome of salt stress in rice leaf. Electrophoresis, 26: 4521-4539.<br />

Kumari S, Sabharwal VP, Kushwaha HR, Sopory SK, Singla-Pareek SL,<br />

Pareek A (2009). Transcriptome map for seedling stage specific<br />

salinity stress response indicates a specific set of genes as candidate<br />

for saline tolerance in Oryza sativa L., Funct. Integr. Genom. 9: 109-<br />

123.<br />

Malakshah SN, Rezaei MH, Heidari M, Salekheh GH (2007) Proteomics<br />

reveals new salt responsive proteins associated with rice plasma<br />

membrane. Biosci. Biotechnol. Biochem. 71: 2144-2154.<br />

Mohammadi-Nejad G, Arzani A, Rezai AM, Singh RK, Gregorio GB<br />

(2008) Assessment of rice genotypes for salt tolerance <strong>using</strong><br />

microsatellite markers associated with the saltol QTL. Afr. J.<br />

Biotechnol. 7: 730-736.<br />

Noble CL, Rogers ME (1992). Arguments for the use of physiological<br />

criteria for improving the salt tolerance in crops. Plant Soil, 146: 99-<br />

107.<br />

Noctor G, Arisi ACM, Jouanin L, Foyer CH (1999). Photorespiratory<br />

glycine enhances glutathione accumulation in both the chloroplastic<br />

and cytosolic compartments. J. Exp. Bot. 50: 1157-1167.<br />

Osmond CB, Badger M, Maxwell K, Björkman O, Leegood RC (1997).<br />

Too many photons: photorespiration, photoinhibition and<br />

photooxidation. Trends. Plant Sci. 2: 119-121.<br />

Parida AK, Das AB (2005). Salinity tolerance and salinity effects on<br />

plants: a review. Ecotox. Environ. Saf. 60: 324-349.<br />

Parker R, Flowers TJ, Moore AL, Harpham NVJ (2006). An accurate<br />

and reproducible method for proteome profiling of the effects of salt<br />

stress in the rice leaf lamina. J. Exp. Bot. 57: 1109-1118.<br />

Peltier JB, Emanuelsson O, Kalume DE, Ytterberg J, Friso G, Rudella<br />

A, Liberles DA, Söderberg L, Roepstorff P, von Heijne G, van Wijk KJ<br />

(2002) Central functions of the luminal and peripheral thylakoid<br />

proteome of Arabidopsis determined by experimentation and<br />

genome-wide prediction. Plant Cell, 14: 211-236.<br />

Rabbani MA, Maruyama K, Abe H, Khan AA, Katsura K, Ito Y,<br />

Yoshiwara K, Seki M, Shinosaki K, Yamaguchi-Shinozaki K (2003).<br />

Monitoring expression profiles of rice genes under cold, drought, and<br />

high salinity stresses and abscisic acid application <strong>using</strong> cDNA<br />

microarray and RNA gel blot analyses. Plant Physiol. 133: 1755-<br />

1767.<br />

Rajmane NA, Karage BA (1986). Photosynthesis and photorespiration<br />

in winged bean (Psophocarpus tetragonobolus L.) grown under saline<br />

condition. Photosynthetica, 20: 139-145.<br />

Singh MP, Singh DK, Rai M (2007). Assessment of growth,<br />

physiological and biochemical parameters and activities of<br />

antioxidative enzymes in salinity tolerant and sensitive Basmati rice<br />

varieties. J. Agron. Crop Sci. 193: 398-412.<br />

Theerakulpisut P, Bunnag S, Kong-ngern K (2005). Genetics diversity,<br />

salinity tolerance and physiology responses to NaCl of six rice (Oryza<br />

sativa L.) cultivars. Asian J. Plant Sci. 4: 562-573.<br />

Vaidyanathan H, Sivakumar P, Chakrabarty R, Thomas G (2003).<br />

Scavenging of reactive oxygen species in NaCl-stressed rice (Oryza<br />

sativa L.) – differential responses in salt-tolerant and sensitive<br />

varieties. Plant Sci. 165: 1411-1418.<br />

Yeo A (1999). Predicting the interaction between the effects of salinity<br />

and climate change on crop plants. Sci. Hort. 78: 159-174.<br />

Yoshida S, Forno DA, Cock JH, Gomez KA (1976). Laboratory Manual<br />

for Physiological Studies of Rice. The International Rice Research<br />

Institute, Manila, Philippines.<br />

Yoshihashi T, Huong NTT, Kabaki N (2002). Quality evaluation of Khao<br />

Dawk Mali 105, an aromatic rice variety of northeast Thailand.<br />

JIRCAS. Working Report No. 30.


African Journal of Biotechnology Vol. 10(72), pp. 16167-16174, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1749<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Genetic diversity and relationship analysis among<br />

accessions of Aegilops ssp. in Turkey <strong>using</strong> amplified<br />

fragment length polymorphism (AFLP) markers<br />

Ilhan Kaya 1,2 *, Asude Çallak Kirişözü 2 , Figen Yildirim Ersoy 3,2 , Şahin Dere 4,2 and Mahinur S.<br />

Akkaya 2<br />

1 Department of Agriculture, Plant Protection, Van Yuzuncuyil University, Van, TR-65080, Turkey.<br />

2 Department of Chemistry, Biochemistry and Biotechnology Programs, Middle East Technical University,<br />

Ankara, TR-06531, Turkey.<br />

3 Department of Biology, Uludag University, Gorukle, Bursa, TR-16059. Turkey.<br />

4 Department of Field Crops, Agricultural Faculty, Ordu University, Ordu, TR-52200, Turkey.<br />

Accepted 7 September, 2011<br />

Amplified fragment length polymorphism (AFLP) DNA markers were used to assess the genetic<br />

diversity and relationships between 55 accessions of genus Aegilops, including the species Aegilops<br />

triuncialis L. (UUCC), Aegilops geniculata Roth (MMUU), Aegilops cylindrica Host (CCDD) and Aegilops<br />

umbellulata Zhuk (UU). The samples were collected <strong>from</strong> Aegean region and East Anatolia, Turkey. 16<br />

AFLP selective primer combinations generated a total of 3200 polymorphic amplification products. 50<br />

Aegilops accessions were analyzed <strong>using</strong> the data analysis software, unweighted pair-group method<br />

arithmetic average (UPGMA) method and numerical taxonomy and multivariate analysis system<br />

(NTSYSpc-2.02k). The similarity index coefficients were calculated according to simple matching<br />

coefficient. Using 16 AFLP primer combinations, species <strong>from</strong> Aegean region and east Anatolia were<br />

clustered as four major groups. Aegilops species having U genome clustered together and A. cylindrica<br />

host was out grouped.<br />

Keywords: Aegilops cylindrica, Aegilops triuncialis, Aegilops umbellulata, Aegilops geniculata, amplified<br />

fragment length polymorphism (AFLP), Li-COR, genetic relationship, unweighted pair-group method arithmetic<br />

average (UPGMA), principle coordinate analysis.<br />

INTRODUCTION<br />

The wild species of Triticeae family, especially the genus<br />

Aegilops L. are valuable sources of genetic variation for<br />

wheat improvement since they possess the genetic<br />

background of all the cultivated wheat having still unidentified<br />

important characters such as resistance to<br />

different biotic and abiotic stresses (Rekika et al., 1998;<br />

Zaharieva et al., 2004). The genus Aegilops L. has been<br />

the most intensively studied group of grasses, especially<br />

since it is closely related to the cultivated wheat (van<br />

Slageren, 1994). Aegilops ssp. is thought to be a genetic<br />

reserve for the improvement of the wheat cultivars<br />

*Corresponding author. E-mail: ilhank@yyu.edu.tr. Tel: +90 533<br />

323 5449. Fax: +90 432 225 1104.<br />

(Damania, 1993). Aegilops spreads mainly in central Asia<br />

and Mediterranean region (van Slageren, 1994). Turkey<br />

is the center of diversity for this genus and it is rich in wild<br />

populations of tetraploid species: Aegilops triuncialis L.<br />

(UUCC), Aegilops geniculata Roth (MMUU), Aegilops<br />

cylindrica Host (CCDD) and diploid species: Aegilops<br />

umbellulata Zhuk. (UU). A. cylindrica and A. triuncialis<br />

are widely distributed in Turkey adding up to 15 species<br />

of Aegilops (Davis, 1985). Ecogeographic studies are<br />

necessary as they determine the genetic relationship and<br />

also guide conservation programs for the target plant<br />

species (Anikster and Noy-Meir, 1991). DNA-based<br />

molecular markers are particularly useful both for<br />

quantifying genetic diversity within plant species and for<br />

identifying and characterizing closely related genotypes<br />

(Jasieniuk and Maxwell, 2001). Molecular markers can


16168 Afr. J. Biotechnol.<br />

provide information needed to select genetically diverse<br />

parents for developing breeding and mapping populations,<br />

among which the AFLP markers have been<br />

successfully used to determine genetic diversity in many<br />

plant species (Sharma et al., 1996; Pillay and Myers,<br />

1999).<br />

AFLP markers are generated by selective amplification<br />

of a subset of restriction fragments <strong>from</strong> total genomic<br />

DNA (Vos et al., 1995; Mueller and Wolfenbarger 1999).<br />

The reproducibility, heritability, effectiveness and reliability<br />

of these amplified DNA products have substantial<br />

advantages when compared with other marker systems<br />

(Russell et al., 1997). The PCR-based AFLP markers are<br />

amenable to automation for high-throughput genotyping<br />

and, being anonymous, do not require any sequence<br />

information (Rouf Mian et al., 2002). AFLP fingerprinting<br />

is considerably informative, allowing the survey of<br />

variation in more than 50 co-amplified restriction fragments<br />

in each AFLP reaction (Incirli and Akkaya, 2001;<br />

Sudupak et al., 2004; Yildirim and Akkaya, 2006). Li-COR<br />

IR 2 automated DNA sequencers and associated software<br />

have been demonstrated to efficiently generate and<br />

analyze complex AFLP patterns of various genomes (Qui<br />

et al., 1999; Remington et al., 1999). We applied AFLP<br />

markers to characterize the genetic diversity and<br />

relationships among different populations of Aegilops in<br />

Turkey <strong>using</strong> Li-COR instrument.<br />

MATERIALS AND METHODS<br />

The materials of the study consist of A. cylindrica, A. geniculata,<br />

A.truncialis and A. umbellulata gathered <strong>from</strong> the Aegean and the<br />

Eastern Anatolia Regions in 2005. 50 individuals <strong>from</strong> a total of 11<br />

populations belonging to these plants were collected (Table 1).<br />

DNA isolation<br />

The seeds of Aegilops were germinated and DNA was isolated <strong>from</strong><br />

the seedlings of two weeks old leaves starting with 200 mg young<br />

leaf tissue <strong>using</strong> a minor modified cetyl trimethyl ammonium<br />

bromide (CTAB) method.<br />

AFLP analysis<br />

AFLP analysis was carried out according to Vos et al. (1995) <strong>using</strong><br />

fluorescently labeled primers and bands were detected <strong>using</strong> a Li-<br />

COR automated sequencer (model 4300). All the chemicals and<br />

enzymes apart <strong>from</strong> 10X reaction buffer and Taq DNA polymerase<br />

were present in the kit provided by Li-COR (IRDye Fluorescent<br />

AFLP Kit for Large Plant Genome Analysis). Genomic DNA (200<br />

ng) was double digested with 1.5 units each of EcoRI and MseI<br />

(MBI Fermentas) in a final volume of 20 µl and incubated at 37°C<br />

for 2 h. 7.5 and 75 pmols of adaptors EcoRI and MseI, respectively,<br />

were ligated to the resulting fragments (20 µl of the digestion mix)<br />

<strong>using</strong> 1 unit of T4 DNA ligase (Roche diagnostics GmbH) in a final<br />

volume of 25 µl buffer ligase 1X and incubated for 2 h at 25°C. The<br />

ligation mix was diluted 1/10 and 2.5 µl were added to the<br />

preamplification reaction containing AFLP Pre-amp primer mix, 1X<br />

PCR reaction buffer, 2.5 U Taq DNA polymerase (Roche<br />

diagnostics GmbH) in a final volume of 25 µl. Preamplification was<br />

performed in a PTC-100 MJ Research Inc. thermocycler as in the<br />

following steps: 2 min 95°C, 20 cycles of 30 s at 94°C, 1 min at<br />

56°C, 1 min at 72°C and 4 min at 72°C. The preamplification mix<br />

was diluted to 1/40 and 2 µl was added to the selective<br />

amplification reaction, containing 1 µM IRDye 700 labeled EcoRI<br />

primer A, 1 µM IRDye 800 labeled EcoRI primer B and 1 µM MseI +<br />

3 (Table 2), reaction buffer lX, 0.25 mM each dNTPs and 1 unit of<br />

Taq DNA polymerase in a final volume of 20 µl. Selective<br />

amplification was performed on a Stratagene Mx3005P Real Time<br />

Thermal Cycler as follows: 13 touchdown cycles (- 0.7°C per cycle)<br />

of 30 s at 94°C, 30 s at 65°C, l min at 72°C; 23 cycles of 30 s at<br />

94°C, 30 s at 56°C, 1 min at 72°C and 10 min at 72°C. A total of 16<br />

selective primer combinations were used.<br />

The PCR products were separated by electrophoresis in a 6.5%<br />

polyacrylamide gel <strong>using</strong> the Li-COR 4300 DNA Analyzer and<br />

analyzed <strong>using</strong> the Saga Generation Software. Genetic similarity<br />

and diversity analysis among 55 Aegilops varieties were performed<br />

<strong>using</strong> the data analysis software, UPGMA method and NTSYSpc-<br />

2.02k (Rholf, 1997). The similarity index coefficients were<br />

calculated according to simple matching (SM) coefficient (Rholf,<br />

1997).<br />

RESULTS<br />

Turkey is rich in tetraploid species: A. triuncialis L.<br />

(UUCC), A. geniculata Roth (MMUU), A. cylindrica Host<br />

(CCDD) and diploid species: A. umbellulata Zhuk. (UU).<br />

Thus, it is important to find the genetic diversity of these<br />

species in Turkey. 16 selective primer combinations<br />

resulted in 3200 polymorphic bands to measure the<br />

genetic diversity within 55 accessions of Aegilops genus.<br />

A dendrogram was generated <strong>from</strong> the data <strong>using</strong> the<br />

UPGMA and the program NTSYSpc 2.02k (Figure 1).<br />

Principle coordinate analysis of the data was also<br />

determined (Figures 2 and 3).<br />

The genetic diversity within the 55 accessions of A.<br />

triuncialis L. (UUCC), A. geniculata Roth (MMUU), A.<br />

cylindrica Host (CCDD) and A. umbellulata Zhuk were<br />

calculated <strong>using</strong> 16 selective primer combinations which<br />

resulted in 3200 polymorphic bands (UU). In the tree, the<br />

species sharing the U genome formed a main cluster and<br />

A. cylindrica which is intensely associated with A.<br />

squarrosa (DD), was clearly different <strong>from</strong> the other<br />

species, due to the influence of the presence of distant D<br />

genome. This genome has undergone less divergence<br />

than other diploid genomes during evolution and<br />

therefore appears to be less modified and is well<br />

separated within the Triticeae (Damania, 1993; Badaeva<br />

et al., 1996).<br />

AFLP based UPGMA dendrogram of Aegilops accessions<br />

is presented in Figure 1, in which there are four<br />

main clusters: A. cylindrica (Ac), A. triuncialis (At), A.<br />

umbellulata (Au) and A. geniculata (Ag). The closest<br />

genetic similarity between genotypes (0.980 simple<br />

matching coefficient) was determined between Ag9 and<br />

Ag10 genotypes. Other genetic similarity results are respectively<br />

as follows: the similarity between Au5 and Au6<br />

(0.958 simple matching coefficient), the similarity between<br />

At9 and At10 (0.948 simple matching coefficient), the


Table 1. The species of Aegilops L. collected <strong>from</strong> Turkey: sample numbers, locations, species and genomes.<br />

S/N Location (city) Coordinate Species Genome<br />

1 Uşak 38° 40.507N, 029° 18.648E, 928 m A. cylindrica CCDD<br />

2 Uşak 38°40.507N, 029° 18.648E, 928 m A. cylindrica CCDD<br />

3 Uşak 38°40.507N, 029° 18.648E, 928 m A. cylindrica CCDD<br />

4 Uşak 38° 40.507N, 029° 18.648E, 928 m A. cylindrica CCDD<br />

5 Uşak 38° 40.507N, 029° 18.648E, 928 m A. cylindrica CCDD<br />

6 Van 38° 33.794N, 043° 17.839E, 1672 m A. cylindrica CCDD<br />

7 Van 38° 33.794N, 043° 17.839E, 1672 m A. cylindrica CCDD<br />

8 Van 38° 33.794N, 043° 17.839E, 1672 m A. cylindrica CCDD<br />

9 Van 38° 33.794N, 043° 17.839E, 1672 m A. cylindrica CCDD<br />

10 Van 38° 33.794N, 043° 17.839E, 1672 m A. cylindrica CCDD<br />

11 Van 38° 31.868N, 043° 20.808E, 1671 m A. cylindrica CCDD<br />

12 Van 38° 31.868N, 043° 20.808E, 1671 m A. cylindrica CCDD<br />

13 Van 38° 31.868N, 043° 20.808E, 1671 m A. cylindrica CCDD<br />

14 Van 38° 31.868N, 043° 20.808E, 1671 m A. cylindrica CCDD<br />

15 Van 38° 31.868N, 043° 20.808E, 1671 m A. cylindrica CCDD<br />

16 Uşak 38° 40.507N, 029° 18.648E, 928 m A. triuncialis UUCC<br />

17 Uşak 38° 40.507N, 029° 18.648E, 928 m A. triuncialis UUCC<br />

18 Uşak 38° 40.507N, 029° 18.648E, 928 m A. triuncialis UUCC<br />

19 Uşak 38 v 40.507N, 029° 18.648E, 928 m A. triuncialis UUCC<br />

20 Uşak 38° 40.507N, 029° 18.648E, 928 m A. triuncialis UUCC<br />

21 Van 38 v 25.543N, 043° 15.695E, 1664 m A. triuncialis UUCC<br />

22 Van 38° 25.543N, 043° 15.695E, 1664 m A. triuncialis UUCC<br />

23 Van 38° 25.543N, 043° 15.695E, 1664 m A. triuncialis UUCC<br />

24 Van 38° 25.543N, 043° 15.695E, 1664 m A. triuncialis UUCC<br />

25 Van 38° 25.543N, 043° 15.695E, 1664 m A. triuncialis UUCC<br />

26 Van 38° 33.794N, 043° 17.839E, 1672 m A. triuncialis UUCC<br />

27 Van 38° 33.794N, 043° 17.839E, 1672 m A. triuncialis UUCC<br />

28 Van 38° 33.794N, 043° 17.839E, 1672 m A. triuncialis UUCC<br />

29 Van 38° 33.794N, 043° 17.839E, 1672 m A. triuncialis UUCC<br />

30 Van 38° 33.794N, 043° 17.839E, 1672 m A. triuncialis UUCC<br />

31 Van 38 0 25.544N, 043° 15.697E, 1664 m A. umbellulata UU<br />

32 Van 38° 25.544N, 043° 15.697E, 1664m A. umbellulata UU<br />

33 Van 38° 25.544N, 043° 15.697E, 1664m A. umbellulata UU<br />

34 Van 38° 25.544N, 043° 15.697E, 1664m A. umbellulata UU<br />

35 Van 38° 25.544N, 043° 15.697E, 1664m A. umbellulata UU<br />

36 Van 38 v 31.868N, 043° 20.808E, 1671m A. umbellulata UU<br />

37 Van 38° 31.868N, 043° 20.808E, 1671m A. umbellulata UU<br />

38 Van 38 v 31.868N, 043 0 20.808E, 1671m A. umbellulata UU<br />

39 Van 38° 31.868N, 043° 20.808E, 1671m A. umbellulata UU<br />

40 Van 38° 31.868N, 043° 20.808E, 1671m A. umbellulata UU<br />

41 Uşak 38° 40.476N, 029° 16.412E, 902 m A. umbellulata UU<br />

42 Uşak 38° 40.476N, 029° 16.412E, 902 m A. umbellulata UU<br />

43 Uşak 38° 40.476N, 029° 16.412E, 902 m A. umbellulata UU<br />

44 Uşak 38° 40.476N, 029° 16.412E, 902 m A. umbellulata UU<br />

45 Uşak 38° 40.476N, 029° 16.412E, 902 m A. umbellulata UU<br />

46 Izmir 38° 31.229N, 026° 37.433E, 16 m A. geniculata MMUU<br />

47 Izmir 38° 31.229N, 026° 37.433E, 16 m A. geniculata MMUU<br />

48 Izmir 38° 31.229N, 026° 37.433E, 16 m A. geniculata MMUU<br />

49 Izmir 38° 31.229N, 026° 37.433E, 16 m A. geniculata MMUU<br />

50 Izmir 38° 31.229N, 026° 37.433E, 16 m A. geniculata MMUU<br />

51 Uşak 38° 40.620N, 029° 22.638E, 904 m A. geniculata MMUU<br />

Kaya et al. 16169


16170 Afr. J. Biotechnol.<br />

Table 1. Contd<br />

52 Uşak 38° 40.620N, 029° 22.638E, 904 m A. geniculata MMUU<br />

53 Uşak 38° 40.620N, 029° 22.638E, 904 m A. geniculata MMUU<br />

54 Uşak 38° 40.620N, 029° 22.638E, 904 m A. geniculata MMUU<br />

55 Uşak 38° 40.620N, 029° 22.638E, 904 m A. geniculata MMUU<br />

Table 2. MseI and IRDye 700 labeled EcoRI primers used in selective<br />

amplification reaction.<br />

Primer Flourescent label Sequence (5’-3’)<br />

M-CAA - GATGAGTCCTGAGTAACAA<br />

M-CAC - GATGAGTCCTGAGTAACAC<br />

M-CAG - GATGAGTCCTGAGTAACAG<br />

M-CAT - GATGAGTCCTGAGTAACAT<br />

M-CTA - GATGAGTCCTGAGTAACTA<br />

M-CTC - GATGAGTCCTGAGTAACTC<br />

M-CTG - GATGAGTCCTGAGTAACTG<br />

M-CTT - GATGAGTCCTGAGTAACTT<br />

E-AAC IRDye 700 GACTGCGTACCAATTCAAC<br />

E-AAG IRDye 700 GACTGCGTACCAATTCAAG<br />

E-ACA IRDye 700 GACTGCGTACCAATTCACA<br />

E-ACT IRDye 700 GACTGCGTACCAATTCACT<br />

E-ACC IRDye 800 GACTGCGTACCAATTCACC<br />

E-ACG IRDye 800 GACTGCGTACCAATTCACG<br />

E-AGC IRDye 800 GACTGCGTACCAATTCAGC<br />

E-AGG IRDye 800 GACTGCGTACCAATTCAGG<br />

similarities between Au3 and Au4, Ag7 and Ag9 (0.946<br />

simple matching coefficient). The least genetic similarity<br />

between genotypes was found between Au8 and Au9<br />

(0.800 simple matching coefficient). Christiansen et al.<br />

(2002) and Lage et al. (2003) showed similar results and<br />

generally followed the trend that increased geographical<br />

distance correlates with increased genetic distance.<br />

In the analysis of the dendrogram, with 2 and 3<br />

dimensional scaling; it was detected that the genotypes<br />

of Ag2, Ag5, Ag6, Au8 and Au9 had a different branching<br />

pattern <strong>from</strong> the one expected. Ac3, Ac13, At1, At2 and<br />

At15 had different branching patterns and positions <strong>from</strong><br />

other genotypes. It was found that genotypes with high<br />

similarity (Ag6, Ag7, Ag9 and Ag10) and genotypes<br />

gathered <strong>from</strong> similar populations (Au5, Au6 and At9,<br />

At10) had the same branching pattern and positions in<br />

general (Figures 2 and 3). Since the genus Aegilops L. is<br />

a valuable source of genetic variation, the data presented<br />

here might have advantage in various studies in future.<br />

DISCUSSION<br />

Periodical genetic diversity assessments of all kinds of<br />

wild type plant species are very important for many<br />

reasons, but it is more crucial for the wild types of wheat<br />

since they are genome donors of cultivated wheat. Since<br />

the cultivated wheat has a very narrow genetic diversity,<br />

for crop improvement, we always need to investigate the<br />

traits hidden in the wild types or the ancestors of the<br />

wheat, so that we can maintain the sustainable agriculture<br />

to feed ever increasing human population. Thus,<br />

by continual diversity assessment in nature, we can<br />

maintain the most diverse species in gene banks for<br />

conservation and crop improvement purposes. The<br />

effects of environmental changes or climate fluctuations<br />

on the natural diversity can also be traced by continual<br />

analyses. This is especially the case for Aegilops species<br />

in Turkey since the land is the center of origin for these<br />

Aegilops species.


Coefficient<br />

Figure 1. AFLP-based UPGMA dendrogram of Aegilops accessions.<br />

Kaya et al. 16171<br />

Ac1<br />

Ac2<br />

Ac3<br />

Ac4<br />

Ac5<br />

Ac6<br />

Ac7<br />

Ac8<br />

Ac9<br />

Ac10<br />

Ac11<br />

Ac12<br />

Ac13<br />

Ac14<br />

Ac15<br />

At1<br />

At2<br />

At3<br />

At4<br />

At5<br />

At6<br />

At7<br />

At8<br />

At9<br />

At10<br />

At11<br />

At14<br />

At12<br />

At13<br />

At15<br />

Au1<br />

Au2<br />

Au3<br />

Au4<br />

Au5<br />

Au6<br />

Au7<br />

Au10<br />

Au9<br />

Au11<br />

Au12<br />

Au13<br />

Au14<br />

Au15<br />

Ag1<br />

Ag2<br />

Ag3<br />

Ag6<br />

Ag7<br />

Ag9<br />

Ag10<br />

Ag8<br />

Ag4<br />

Ag5<br />

Au8


16172 Afr. J. Biotechnol.<br />

Figure 2. 2D plot generated by principle coordinate analysis.


Figure 3. 3D plot of the principal coordinate analysis of the AFLP data generated by NTSYS.<br />

AFLP marker system to test the genetic diversity is one of<br />

mostly used marker system since, it is multi-locus, thus<br />

highly polymorphic, reproducible and high through-put<br />

instrumentation is available, such as Li-Cor. Thus, in this<br />

study, we preferred to perform analysis <strong>using</strong> AFLP<br />

highly polymorphic marker system. We believe the data<br />

presented here will be a tool for other wheat researchers.<br />

REFERENCES<br />

Anikster Y, Noy-Meir I (1991). The wild-wheat field laboratory at<br />

Ammiad. Isr. J. Bot. 40: 351-362.<br />

Badaeva ED, Friebe B, Gill BS (1996). Genome differentiation in<br />

Aegilops 2. physical mapping of 5S and 18S-26S ribosomal RNA<br />

gene families in diploid species. Genome, 39: 1150-1158.<br />

Christiansen MJ, Andersen SB, Ortiz R (2002). Diversity changes in an<br />

intensively bred wheat germplasm during the 20th century. Mol.<br />

Breed. 9: 1-11.<br />

Damania AB (1993). Biodiversity and wheat improvement. ICARDA,<br />

John Wiley and Sons Inc. New York.<br />

Davis PH (1985). Flora of Turkey. Edinburg at the University Press,<br />

22(9): p. 235.<br />

Incirli A, Akkaya MS (2001). Assessment of genetic relationships in<br />

durum wheat cultivars <strong>using</strong> AFLP markers. Genet. Resour. Crop<br />

Eviron. 48: 233-238.<br />

Jasieniuk M, Maxwell BD (2001). Plant diversity: new insights <strong>from</strong><br />

Kaya et al. 16173<br />

molecular biology and genomics technologies. Weed Sci. 49: 257-<br />

265.<br />

Lage J, Warburton ML, Crossa J, Skovmand B, Andersen SB (2003).<br />

Assessment of genetic diversity in synthetic hexaploid wheats and<br />

their Triticum dicoccum and Aegilops tauschii parents <strong>using</strong> AFLPs<br />

and agronomic traits. Euphytica, 134: 305-317.<br />

Mueller UG, Wolfenbarger LL (1999). AFLP genotyping and<br />

fingerprinting. Trends Ecol. Evol. 14: 389-394.<br />

Pillay M, Myers GO (1999). Genetic diversity in cotton assessed by<br />

variation in ribosomal RNA genes and AFLP markers. Crop Sci. 39:<br />

1881-1886.<br />

Qui J, van Santen E, Tuzun S, Campos-Andrada M (1999). Genetic<br />

analysis of Lupinus luteus and L. cosentinii <strong>using</strong> fluorescence<br />

labelled AFLP primers. 9th Int. Lupin Conf.<br />

Rekika D, Zaharieva M, Stankova P, Xu X, Souyris I, Monneveux P<br />

(1998). Abiotic stress tolerance in Aegilops species. In: Nachit MM,<br />

Baum M, Porceddu E, Monneveux P, Picard E (eds.) Durum Res.<br />

Crop Evol. 42: 339-345.<br />

Rholf FJ (1997). NTSYS-Pc: Numerical Taxonomy and Multivariate<br />

Analysis System. Exeter Software, New York.<br />

Rouf Mian MA, Hopkins AA, Zwonitzer JC (2002). Determination of<br />

genetic diversity in tall fescue with AFLP markers. Crop Sci. 42: 944-<br />

950.<br />

Russell JR, Fuller JD, Macaulay M, Hatz BG, Jahoor A, Powell W,<br />

Waugh R (1997). Direct comparison of levels of genetic variation<br />

among barley accessions detected by RFLPs, AFLPs, SSRs and<br />

RAPDs. Theor. Appl. Genet. 95: 714-722.<br />

Sharma SK, Knox MR, Ellis THN (1996). AFLP analysis of the diversity<br />

and phylogeny of Lens and its comparison with RAPD analysis.<br />

Theor. Appl. Genet. 93: 751-758.


16174 Afr. J. Biotechnol.<br />

Sudupak MA, Akkaya MS, Kence A (2004). Genetic reletionships<br />

among perennial and annual Cicer species growing in Turkey<br />

assessed by AFLP fingerprinting. Theor. Appl. Genet. 108: 937-944.<br />

van Slageren MW (1994). Wild wheats: a monograph of Aegilops L. and<br />

Amblyopyrum (Jaub.&Spach) Eig. (Poaceae). Wageningen Agric.<br />

Univ.<br />

Vos P, Hogers R, Bleeker M, Reijans M, van de Lee T, Hornes M,<br />

Frijters A, Pot J, Peleman J, Kuiper M, Zabeau M (1995). AFLP: a<br />

new technique for DNA fingerprinting. Nucleic Acids Res. 23: 4407-<br />

4414.<br />

Yildirim F, Akkaya MS (2006). DNA fingerprinting and genetic<br />

characterization of Anatolian Triticum sp. <strong>using</strong> AFLP markers.<br />

Genet. Resour. Crop Eviron. 53: 1033-1042.<br />

Zaharieva M, Prosperi JM, Monneveux P (2004). Ecological distribution<br />

and species diversity of Aegilops L. genus in Bulgaria. Biodivers.<br />

Conserv. 13: 2319-2337.


African Journal of Biotechnology Vol. 10(72), pp. 16175-16180, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1985<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Determination of total polyphenol content and<br />

antityrosinase capacity of mulberrymedicine<br />

(Morusnigra L.) extract<br />

Wu Chun, Xu Li*, Wang Yuancheng, Chen Hu and Huang Xianzhi<br />

College of Biotechnology, Southwest University, Chongqing 400716, China.<br />

Accepted 5 October, 2011<br />

Total polyphenol content and antityrosinase capacity of mulberry medicine extract were evaluated for<br />

its development and utilization. Total polyphenols were extracted <strong>from</strong> mulberry medicine with 70%<br />

alcohol solution. The content of total polyphenols was determined by ultraviolet spectrophotometer and<br />

the capacity of antityrosinase was evaluated by <strong>using</strong> the enzyme-linked immunosorbent assay(ELISA)<br />

method. Results show that the content of polyphenols was up to 8.668 mg/g and tyrosinase halfinhibitory<br />

concentration (IC50) was 12.12 mg/ml. Kinetic study indicated that the mechanism of<br />

tyrosinase inhibition was mixed type inhibition.<br />

Key words:Morusnigra L., extraction of medicine mulberry, polyphenols, tyrosinase.<br />

INTRODUCTION<br />

Tyrosinase (TYR) is widely distributed in human beings,<br />

animals, plants and microorganisms. It is the crucial<br />

enzyme which restricts the output of melanin (Fenoll et<br />

al., 2004). Not only does it have the activity of<br />

monophenol oxidase, but it also has the activity of<br />

diphenol oxidase(Gong et al., 2005; Shi et al., 2005). It<br />

catalyzes the following reactions:<br />

HO<br />

COOH<br />

NH 2<br />

TYR(Diphenol oxidase)<br />

TYR(Monophenol oxidase)<br />

O<br />

O<br />

HO<br />

HO<br />

COOH<br />

NH 2<br />

COOH<br />

Disorders of melanin pigmentation and melanoma can be<br />

attributed to the malfunction of tyrosinase. Tyrosinase<br />

existing in plants is the main cause of their enzymatic<br />

browning, while tyrosinase existing in insects plays an<br />

NH 2<br />

*Corresponding author. E-mail: mulberry@swu.edu.cn.<br />

Fax: 023-68250191.<br />

important role in their tanning process (Fenoll et al.,<br />

2004; Kubo et al., 2003). By inhibiting the activity of<br />

tyrosinase, tyrosinase inhibitors can restraint the<br />

production of melanin; therefore, they have an extensive<br />

prospect in cosmetic,medicine and agriculture. In recent<br />

years, the tyrosinase inhibitors have been investigated<br />

extensively (Chang et al., 2011; Prasad et al., 2010;<br />

Behera et al., 2007; Rangkadilok et al., 2007).<br />

Polyphenols, possessing several phenolic hydroxyls,<br />

are excellent hydrogen or electron donors and have an<br />

amount of antioxidant activity. They can effectively<br />

remove superoxides and hydroxyl radicals (Bouaziz et<br />

al., 2009). Previous researches have already shown that<br />

polyphenols are effective tyrosinase inhibitors (Bouaziz et<br />

al., 2009; Jewell and Ebeler, 2001). Thus, polyphenols<br />

can be regarded as a kind of tyrosinase inhibitors.In<br />

addition to possessing good antioxidation and<br />

antityrosinase activity, polyphenols have some other<br />

functions. For example, the green and black tea<br />

polyphenols have the activity of anti-cervical cancer<br />

which is the second most common malignant neoplasm<br />

in women, in terms of both incidence and mortality rates<br />

worldwide (Singh et al., 2010). Red wine polyphenols<br />

cause growth inhibition and apoptosis in acute<br />

lymphoblastic leukaemia cells by inducing a redoxsensitive<br />

up-regulation of p73 and down-regulation of<br />

UHRF1 (Sharif et al., 2010).


16176 Afr. J. Biotechnol.<br />

Figure 1.Medicine mulberry.<br />

Mulberry medicine (Figure 1) is a half-domesticated<br />

plant. In plant taxonomy, it is black mulberry species<br />

(Morusnigra Linn). It was originated in Iran, and cultivated<br />

in Xinjiang Province in the 16th century. Mulberry<br />

medicine is the only black mulberry species which has 22<br />

haploid sets of chromosomes in a body cell. It is also a<br />

very precious officinal resource in nature. Mulberry<br />

medicine is a traditional Uyghur medicine in china and<br />

has the efficacy of anti-oxidation (Lqbal et al., 2010),<br />

delaying aging (Jiang, 2010), protecting liver and<br />

decreasing blood sugar level (Hemmati et al., 2010). The<br />

juice of mulberry medicine has a lot of active contents,<br />

including polyphenols, alkaloid, vitamin C, amino acids,<br />

polysaccharose etc(Ercisli et al., 2008, 2007, 2010;<br />

Koyuncu et al., 2004). These contents have the property<br />

of removing free radicals and are potent antioxidants.<br />

The objectives of this study were to determine the<br />

content of total polyphenols in mulberry medicine<br />

extraction, and investigate its inhibition effect on<br />

tyrosinase.<br />

MATERIALS AND METHODS<br />

Mature mulberry medicine (<strong>from</strong> The Germ Plasm Resource<br />

Garden of Institute of Sericulture of Xinjiang Province) was dried<br />

naturally and ground into powder.<br />

Ethanol, phosphoric acid, hydrogen peroxide, lithium sulfate,<br />

concentrated hydrochloric acid, natriumcarbonicumcalcinatum,<br />

sodium methoxide, gallic acid, sodium wolframate, sodium nitrite,<br />

aluminum nitrate, sodium hydroxide, rutin, monopotassium<br />

phosphate, potassium hydroxide and dopa (L-dopa) were of<br />

analytical pure grade and purchased <strong>from</strong> Taixin Reagent Company<br />

(Chongqing, China). Arbutin and mushrooms tyrosinase were of<br />

HPLC grade and obtained <strong>from</strong> Dingguo Reagent Company<br />

(Chongqing, China).<br />

Electronic balance was obtained <strong>from</strong> FA2004A, Shanghai<br />

Jingtian Electronics Co., Ltd; ultraviolet spectrophotometer, Xinshiji<br />

T6, Beijing Puxi General Co., Ltd; grinder, FFC-45D, LinyiDahua<br />

Machinery Works; ELIASA, BIO-RAD iMarkmicroplate Reader,<br />

Japan.<br />

Extraction of total polyphenols<br />

Twenty five grams of mulberry medicine powder was immersed in<br />

40 ml 70% ethanol solution for 4 h, and then filtered. The process<br />

was repeated twice and all of them were done under room<br />

temperature. The filtrate was added with 70% ethanol solution to<br />

100 ml.<br />

Determination of total polyphenols<br />

This was carried out according to the method of Bae and Suh<br />

(2007), with some modifications. In brief, 20 g of sodium wolframate<br />

and 5 g of sodium methoxide were placed in round bottomed flask<br />

and dissolved with 140 ml of distilled water.Then, 10 ml of 85%<br />

phosphoric acid and 20mL of concentrated hydrochloric acid were<br />

added and refluxed for 2 h at 100°C. We added 3 g lithium sulfate<br />

and 15 ml 30% hydrogen peroxide to the solution, and then boiled<br />

the solution until it became bright yellow(about 15 min). After that<br />

the solution was cooled and fixed to a constant volume of 250 ml,<br />

stored in a brown bottle and kept in dark place.<br />

Establishment of standard curve<br />

0.50 g of gallic acid standard sample was accurately weighed,


Determination of total polyphenols in sample<br />

0.01 ml of solution mentioned above was put in 10 ml centrifuge<br />

tube, added with 1 ml forint reagent, 3 ml 200 g/L sodium carbonate<br />

solution and 0.99 ml distilled water. After shaking up, it was placed<br />

under room temperature for 2 h. 70% ethanol was used as a blank.<br />

Absorbance was measured at 765 nm.<br />

Determination of antityrosinase activity<br />

The antityrosinase activity was investigated by the method of<br />

Shin(Shin et al., 1998), with some modifications. In brief, 50 μl of L-<br />

DOPA solution (3 mg/ml, dissolved in 0.1 mol/L phosphate buffer,<br />

pH 6.8) and 50μl of medicine mulberry medicine extract (dissolved<br />

in 70% ethanol) were placed in a 96-well microtiter plate, and then<br />

added to 50 μl of tyrosinase solution (100 u/ml, dissolved in<br />

0.1mol/L phosphate buffer, pH 6.8).The volume was adjusted to<br />

250 μl by adding 100μl PBS buffer solution (0.1 mol/L, pH 6.8). The<br />

solution was incubated at 37°C for 15 min and its absorbance was<br />

measured at 490 nm. PBS buffer solution was used as a blank.<br />

Percent of tyrosinase inhibitory activity was calculated <strong>using</strong> the<br />

following formula:<br />

I=[(A - B) - (C - D)]/(A - B) × 100%<br />

Where, A is the absorbance of the mixed solution without sample,<br />

50 μl 0.3% L-DOPA + 50 μl 70% alcohol + 100 μl PBS (pH 6.8) +<br />

50μl enzyme solution; B is the absorbance of the mixed solution<br />

without enzyme, 50 μl 0.3% L-DOPA + 50 μl 70% alcohol + 150 μl<br />

PBS (pH 6.8); C is the absorbance of the mixed solution with the<br />

sample, 50 μl 0.3% L-DOPA + 50 μl sample + 50 μl PBS (pH 6.8) +<br />

50 μl enzyme solution; D is the absorbance of the mixed solution<br />

without enzyme, 50μl 0.3% L-DOPA + 50 μl sample + 150 μl PBS<br />

(pH6.8). Half effective concentration (IC50) was obtained by <strong>using</strong><br />

the logarithm concentration-enzyme inhibition ratio regression<br />

equation.<br />

Mechanism of antityrosinase activity<br />

The mechanism of antityrosinase activity was analysed according to<br />

the method of Zhang and Chen (Zhang et al., 2006; Chen et al.,<br />

2002), with some modifications. In brief, L-DOPA (50 μl, 3 mg/ml,<br />

dissolved in 0.1 mol/L phosphate buffer, pH 6.8) was mixed with<br />

differentvolumes (10, 30, 50 and 70 μl) of tyrosinase solution (100<br />

u/ml, dissolved in 0.1 mol/L phosphate buffer, pH 6.8) in a 96-well<br />

microtiter plate, and then the differentvolumes (10, 30 and 50 μl) of<br />

extract were added. The volume was adjusted to 250 μl by adding<br />

PBS buffer solution. After that the solution was incubated at 37°C<br />

for 15 min and its absorbance was measured at 490nm by ELIASA.<br />

PBS buffer solution was used as a blank.<br />

Determination of inhibitory pattern<br />

The inhibitory pattern of anti-tyrosinase was determined according<br />

to the method of Zhang and Chen (Zhang et al., 2006; Chen et al.,<br />

2002), with some modifications. In brief, tyrosinase solution (50μL,<br />

100u/mL dissolved in 0.1mol/L phosphate buffer, pH 6.8) was<br />

mixed with differentvolumes (10 μl, 30, 50 and 70 μl) of L-DOPA (50<br />

μl, 3 mg/μl, dissolved in 0.1mol/L phosphate buffer, pH 6.8) in a 96well<br />

microtiter plate, and then the differentvolumes (10, 30 and 50<br />

μl) of extract were added. The volume was adjusted to 250 μl by<br />

adding PBS buffer solution. After that the solution was incubated at<br />

37°Cfor 15 min and its absorbance was measured at 490nm by<br />

ELIASA. PBS buffer solution was used as a blank. Samples<br />

inhibition type was determined by graphs constructed, <strong>using</strong> Line<br />

weaver-Burk double reciprocal.<br />

RESULTS<br />

Determination of total polyphenol content<br />

Chun et al. 16177<br />

The concentration of gallic acid standard solution had a<br />

linear relation with its absorbance within concentration<br />

range of 0.005 to 0.1 mg/ml. The corresponding equation<br />

of linear regression was y = 0.0486x - 0.0015 R² =<br />

0.9994. Total polyphenol content was calculated according<br />

to standard curve and the result is shown in Table 1.<br />

As illustrated in Table 1, the content of total polyphenolsin<br />

mulberry medicine wasup to 8.668mg/g.<br />

Multipledetermination coefficient of variation was 0.022,<br />

which indicated the result was reliable.<br />

Determination of anti-tyrosinase activity<br />

Using effector concentration as abscissa, inhibition ratio<br />

as ordinate, we constructed fitted curve by Origin8<br />

analysis software, and showed the result in Figure 2. As<br />

illustrated in Figure 2, relative inhibition ratio increased<br />

dramatically with the increase of extract concentration in<br />

low concentration range (0 to 0.02 mg/ml). In high<br />

concentration range (>0.02 mg/ml), the inhibition ratio<br />

increased much slower. Half inhibition concentration of<br />

extract on tyrosine (IC50) was approximately 12.12 mg/ml.<br />

Mechanism of anti-tyrosinase activity<br />

Different concentrations of mulberry medicine extract<br />

were added to enzyme activity determination system. A<br />

group of straight lines coming across the coordinate<br />

origin were obtained in the enzyme activity of the enzyme<br />

concentration plot (Figure 3). Withthe increase of extract<br />

concentration, the slope of the straight line became lower<br />

and lower, which meant the inhibition of mulberry<br />

medicine extract on tyrosinase was reversible inhibition.<br />

Its inhibition on tyrosinase was not achieved by reducing<br />

the enzyme’s catalysis ability but by reducing the amount<br />

of enzyme.<br />

Determination of inhibitory pattern<br />

The concentration of tyrosinase was fixed in the activity<br />

measurement system, and then concentration gradient of<br />

L-DOPA was set. We investigated the impact of different<br />

concentrations of mulberry medicine extract on<br />

tyrosinase activity, and constructed a group of hyperbolic<br />

curves by <strong>using</strong> the initial enzyme reaction rate on<br />

substrate concentration plot (Figure 4). As shown in<br />

Figure 4, the enzymatic reaction follows Michaelis’<br />

(Michaelis-Menten) kinetic equation. To study the


16178 Afr. J. Biotechnol.<br />

Table 1.The content of polyphenols in mulberry fruit.<br />

Parameter<br />

Parallel experiment Average<br />

1 2 3 4 5 value<br />

Standard<br />

deviation<br />

Coefficient of<br />

differentiation<br />

Content (mg/g) 8.664 8.949 8.723 8.424 8.580 8.668 0.193 2.2%<br />

Inhibition ratio (%)<br />

Enzyme act i vi t y ( OD/ mi n)<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

-10<br />

-0.005 0.000 0.005 0.010 0.015 0.020 0.025 0.030 0.035 0.040 0.045<br />

C (g/ml)<br />

Inhibition ratio (%)<br />

CubicFit of Inhibition ratio<br />

Figure 2.Effect of water extract <strong>from</strong> medicine mulberry on the activity of tyrosinase.<br />

1. 2<br />

1<br />

0. 8<br />

0. 6<br />

0. 4<br />

0. 2<br />

0<br />

[ I ] =8. 929mg/ mL<br />

[ I ] =26. 786mg/ mL<br />

[ I ] =44. 643mg/ mL<br />

0 20 40 60 80<br />

Enzyme concent r at i on ( u/ mL)<br />

Figure 3.Inhibitory mechanism of ethanolic extract <strong>from</strong> medicine mulberry on tyrosinase.<br />

[I] Denotes the concentration of inhibitor (the ethanolic extract <strong>from</strong> medicine mulberry).


Enzyme act i vi t y( OD/ mi n)<br />

Reci pr ocal of enzyme<br />

act i vi t y( 1/ ( OD/ mi n) )<br />

0. 25<br />

0. 2<br />

0. 15<br />

0. 1<br />

0. 05<br />

0<br />

0 2 4 6<br />

Subst r at e concent r at i on( c)<br />

Figure 4.The relationship between enzyme activity and substrate concentration. [I] Denotes the<br />

concentration of inhibitor (the ethanolic extract <strong>from</strong> Morusnigra L).<br />

12<br />

10<br />

0<br />

-2 -1 0 1 2<br />

Reci pr ocal of subst r at e concent r at i on( 1/ c)<br />

Figure 5. Lineweaver-Burk plots for inhibition of the ethanol extract of medicine mulberry on<br />

tyrosinase.[I]denotes the concentration of inhibitor (the ethanolic extract <strong>from</strong> medicine<br />

mulberry).<br />

inhibition type, Lineweaver-Burk double-reciprocal plots<br />

was used. The results are shown in Figure 5. The doublereciprocal<br />

plots yield a family line with different slopes<br />

and different intercepts, and they intersect one another in<br />

the second quadrant. This behavior indicatesthat<br />

mulberry medicine extract can bind, not only with free<br />

enzyme, but also with the enzyme-substrate complex,<br />

which shows its inhibition mechanism was mixed type.<br />

8<br />

6<br />

4<br />

2<br />

DISCUSSION<br />

[ I ] =8. 929mg/ mL<br />

[ I ] =26. 786mg/ mL<br />

[ I ] =44. 643mg/ mL<br />

[ I ] =8. 929mg/ mL<br />

[ I ] =26. 786mg/ mL<br />

[ I ] =44. 643mg/ mL<br />

Chun et al. 16179<br />

In this study, we found that the total polyphenols content<br />

in the dried sample of mulberry medicine was 8.668<br />

mg/g. It is a little lower than black mulberry fruits grown in<br />

East Anatolia Region of Turkey, in which the total<br />

phenolic content was 1422 mg gallic acid<br />

equivalents/100g fresh matter (Ercisli et al., 2007).


16180 Afr. J. Biotechnol.<br />

Polyphenols are potent antioxidants and can clear away<br />

free radicals effectively (Isabelle et al., 2008; Segev et<br />

al., 2010). The content of polyphenols in the ethanolwater<br />

extract of mulberry medicine is up to 8.668mg/g.<br />

Therefore, it explains why mulberry medicine has been<br />

used as a traditional medicine for so long.<br />

The ethanol extract of mulberry medicine was an<br />

efficient inhibitor of tyrosinase, its IC50 was 12.12 mg/ml,<br />

and its inhibition type was mixed type inhibition. Walker<br />

and Wilson (1975) suggested the existence of two distinct<br />

sites on the enzyme: one site for the binding of the<br />

substrate and another site, adjacent, for binding the<br />

inhibitor. Some inhibitors can bind not only with the free<br />

enzyme but also with the enzyme-substrate complex. So<br />

mixed type inhibition of the ethanol extract of mulberry<br />

medicine may be due to various substances it contains.<br />

The antityrosinase activityof mulberry medicine indicates<br />

that it can be used in cosmetics, treatment of skin<br />

disease and retain freshness of fruits and vegetables etc.<br />

It will also provide us with insight into finding new,<br />

efficient and safe tyrosinase inhibitors. This study is the<br />

first report on total polyphenols content and<br />

antityrosinase activity of mulberry medicine. Further<br />

investigation is required to purify phenolic compounds<br />

<strong>from</strong> mulberry medicine which have antityrosinase<br />

activity.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by the Doctor Fund Project of<br />

Ministry of Education of China (Grant no.<br />

20090182120018) and Special Fund of Modern<br />

Agriculture Construction of China (Grant no. nycytx-27gw504).<br />

REFERENCES<br />

Bouaziz M, Dhouib A, Loukil S, Boukhris M, Sayadi S(2009).<br />

Polyphenols content, antioxidant and antimicrobial activities of<br />

extracts of some wild plants collected <strong>from</strong> the south of Tunisia. Afr. J.<br />

Biotechnol. 8: 7017-7027.<br />

Bae SH, Suh HJ (2007). Antioxidant activities of five different mulberry<br />

cultivars in Korea. Lwt-Food. Sci. Technol. 40: 955-962.<br />

Chang LW, Juang LJ, Wang BS, Wang MY, Tai HM, Hung WJ, Chen YJ,<br />

Huang MH (2011).Antioxidant and antityrosinase activity of mulberry<br />

(Morus alba L.) twigs and root bark. Food. Chem. Toxicol. 49(4): 785-<br />

790.<br />

Chen QX, Kubo I (2002). Kinetics of mushroom tyrosinase inhibition by<br />

quercetin. J. Agric.Food. Chem. 50(14): 4108-4112.<br />

Fenoll LG, Penalver MJ, Rodriguez-Lopez JN, Varon R, Garcia-<br />

Canovas F, Tudela J (2004). Tyrosinase kinetics: discrimination<br />

between two models to explain the oxidation mechanism of<br />

monophenol and diphenol substrates. Int. J. Biochem. Cell Biol. 36:<br />

235-246.<br />

Gong SZ, Cheng JA, Yang ZR (2005). Inhibitory effect of ferulic acid on<br />

oxidation of L-DOPA catalyzed by mushroom tyrosinase. Chin. J.<br />

Chem. Eng. 13: 771-775.<br />

Isabelle M, Lee BL, Ong CN, Liu X, Huang D (2008). Peroxyl radical<br />

scavenging capacity, polyphenolics, and lipophilic antioxidant profiles<br />

of mulberry fruits cultivated in southern China. J. Agric. Food. Chem.<br />

56: 9410-9416.<br />

Jewell WT, Ebeler SE (2001). Tyrosinase biosensor for the<br />

measurement of wine polyphenolics. Am. J. Enol. Viticult. 52: 219-<br />

222.<br />

Kubo I, Chen QX, Nihei KI (2003). Molecular design of antibrowning<br />

agents:antioxidative tyrosinase inhibitors. Food. Chem. 81:241-247.<br />

Prasad KN, Yang B, John S, Yu C, Zhao M, Xue S, Jiang Y (2010).<br />

Enhanced antioxidant and antityrosinase activities of longan fruit<br />

pericarp by ultra-high-pressure-assisted extraction. J. Pharmaceut.<br />

Biomed. 51: 471-477.<br />

Segev A, Badani H, Kapulnik Y, Shomer I, Oren-Shamir M, Galili S<br />

(2010). Determination of polyphenols, flavonoids, and antioxidant<br />

capacity in colored chickpea (Cicer arietinum L.). J. Food. Sci. 75:<br />

S115-S119.<br />

Singh M, Tyagi S, Bhui K, Prasad S, Shukla Y (2010). Regulation of cell<br />

growth through cell cycle arrest and apoptosis in HPV 16 positive<br />

human cervical cancer cells by tea polyhenols. Invest. New Drugs,<br />

28(3): 216-224.<br />

Sharif T, Auger C, Alhosin M, Ebel C, Achour M, Nelly ES, Fuhrmann G,<br />

Bronner C, Valerie SK (2010). Red wine polyhenols cause growth<br />

inhibition and apoptosis in acute lymphoblastic leukaemia cells by<br />

inducing a redox-sensitive up-regulation of p73 and down-regulation<br />

of UHRF-1.Eur. J. Cancer, 46(5): 983-994.<br />

Shi Y, Chen QX, Wang Q, Song KK, Qiu L (2005). Inhibitory effects of<br />

cinnamic acid and its derivatives on the diphenolase activity of<br />

mushroom(Agaticus bisporus) tyrosinase. Food. Chem. 9: 707-712<br />

Shin NH, Ryu SY, Choi EJ, Kang SH, Chang IM, Min KR., Kim Y (1998).<br />

Oxyresveratrol as the potent inhibitor on dopa oxidase activity of<br />

mushroom tyrosinase. Biochem. Biophys.Res. Commun. 243: 801-<br />

803.<br />

Walker JRL, Wilson EL (1975). Studies on the enzymatic browning of<br />

apples. Inhibition of apple o-diphenol oxidase by phenplics acid. J.<br />

Sci. Food. Agr. 26:1825–1831.<br />

Zhang JP, Chen QX, Song KK, Xie JJ (2006). Inhibitory effects of<br />

salicylic acid family compounds on the diphenolase activity of<br />

mushroom tyrosinase. Food. chem. 95: 579-584.


African Journal of Biotechnology Vol. 10 (72), pp. 16181-16188, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB09.807<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Somatic embryogenesis and bulblet regeneration in<br />

snakehead fritillary (Fritillaria meleagris L.)<br />

Petrić Marija, Subotić Angelina*, Jevremović Slađana and Trifunović Milana<br />

Department of Plant Physiology, Institute for Biological Research, “Siniša Stanković”, University of Belgrade, Bulevar<br />

despota Stefana 142, 11060 Belgrade, Serbia.<br />

Accepted 27 December, 2010<br />

Induction of in vitro morphogenesis of mature zygotic embryos of Fritillaria meleagris L. was<br />

investigated. Somatic embryogenesis and whole plant regeneration were achieved. Isolated zygotic<br />

embryos were cultured on MS medium that contained 3% sucrose, 0.7% agar, 250.0 mg/l casein<br />

hydrolysate, 250.0 mg/l L-proline, 80 mg/l adenine sulfate and 1.0 mg/l 2,4-dichlorophenoxyacetic acid<br />

(2,4-D) or thidiazuron (TDZ). Embryogenic callus was derived <strong>from</strong> mature zygotic embryos after 4<br />

weeks on TDZ containing medium. Somatic embryos at the early stages of development arose <strong>from</strong> the<br />

surface of the embryogenic callus. Multiplication of somatic embryos, formation of bulblets and shoot<br />

development were observed on the same medium. Scale sections prepared <strong>from</strong> the formed bulblets<br />

were cultured on MS media supplemented with 2,4-D (0.1 to 10.0 mg/l) and TDZ (0.05 to 2.0 mg/l).<br />

Somatic embryos and bulblets were frequently produced <strong>from</strong> the scale sections. This is a successful<br />

report of plant regeneration through somatic embryogenesis for this very important medicinal and<br />

horticultural plant. Histological observation revealed that plants of F. meleagris L. were regenerated via<br />

somatic embryogenesis.<br />

Key words: Bulbous plant, medicinal plant, snakehead fritillary, somatic embryos.<br />

INTRODUCTION<br />

Fritillaria species used as garden plants is well established<br />

and more recently it has become popular as cut<br />

flower for interior decorations and other floral arrangement.<br />

Fritillaria meleagris L., with the common name<br />

snakehead fritillary, is a well known horticultural plant<br />

belonging to the Lilliaceae family. Also, the bulbs of<br />

various species of the genus Fritillaria have been used as<br />

anti-tissuve and expectorant herbs used in traditional<br />

Chinese medicine for more than 2000 years (Li et al.,<br />

2000, 2001). Propagation of this plant through conventional<br />

methods via bulbs cuttings is limited due to a low<br />

survival rate. Bulb development is very slow (general 4<br />

years of growth <strong>from</strong> initial seedling to maturity). Therefore,<br />

there is an urgent need to look for alternative means<br />

of propagation, which could ensure large-scale production<br />

of plants to fulfill the growing demands. In vitro propa-<br />

*Corresponding author. E-mail: subotic.angelina@gmail.com.<br />

Tel: + 381 11 20 78 425. Fax: + 381 11 27 61 433.<br />

gation is a feasible alternative for the rapid multiplication<br />

and maintenance of germplasm. In vitro propagation<br />

ensures the production of true-to-type plants in limited<br />

time and space. The propagation <strong>from</strong> elite mature plants<br />

is preferred for this purpose as they are selected on past<br />

performances. Tissue culture studies in Fritillaria were<br />

initiated as early a 1977 (Sun et al., 1977). Since then, an<br />

increasing number of reports about in vitro regeneration<br />

protocols applied to the genus have been published for a<br />

number of Fritillaria species (Sun and Wang, 1991;<br />

Kukulezanka et al., 1989; Gao et al., 1999; Paek, 1994;<br />

1996; Paek and Murthy, 2002; Özcan et al., 2007).<br />

Somatic embryogenesis is a multistep regeneration pathway<br />

starting with formation proembryogenic cell masses,<br />

followed by somatic embryo formation, germination and<br />

plant regeneration (Komamine et al., 2005). There are<br />

two paths of somatic embryogenesis; direct and indirect,<br />

and both can be undergone by many species (Quiroz-<br />

Figueroa et al., 2006). The use of plant growth regulators<br />

is useful in most species. 2,4-dichlorophenoxyacetic acid<br />

(2,4-D) such as auxin and thidiazuron (TDZ) such as


16182 Afr. J. Biotechnol.<br />

cytokinin are especially significant in promoting somatic<br />

embryogenesis (Jiménez, 2005). Sometimes somatic<br />

embryos are recognized only by their external shape and<br />

morphology, although histological study is necessary to<br />

confirm the identification of different developmental<br />

phases (Yeung, 1999). Somatic embryogenesis has<br />

already been used as a method for conserving and safeguarding<br />

overexploited and endangered plant species<br />

(Nadeem, 2000). Making use of in vitro culture can provide<br />

enough plant material to reinforce wild populations when<br />

appropriate. The choice of explants for establishment of<br />

in vitro culture is largely dictated by the method to be<br />

adopted for in vitro propagation. The ability of mature<br />

zygotic embryos to produce somatic embryos on induction<br />

medium clearly indicates that zygotic embryos are<br />

suitable materials for in vitro regeneration of Fritillaria<br />

species. Previous literature showed in vitro plant regeneration<br />

<strong>from</strong> bulb scales of Fritillaria species. The results<br />

<strong>from</strong> this study can be compared with commonly used<br />

bulbs as explants for in vitro regeneration. This is important<br />

for several reasons: bulbs are usually contaminated<br />

by pathogens; they have limited number scales and the<br />

use of bulbs could result in the destruction of Fritillaria<br />

natural populations (Witomska and Lukazewska, 1997).<br />

Induction of somatic embryogenesis in F. meleagris L.<br />

has not yet been reported. The first report of the induction<br />

of somatic embryogenesis in the genus was for F.<br />

imperialis (Mohammadani-Dehcheshmeh et al., 2007).<br />

The authors reported the induction of indirect somatic<br />

embryogenesis <strong>from</strong> the petal explants.<br />

In this study, the induction of somatic embryogenesis<br />

and plant regeneration in callus cultures derived <strong>from</strong><br />

mature zygotic embryos of F. meleagris L was investigated.<br />

Also, the effect of growth regulators and light condition<br />

on somatic embryos and bulblets formation <strong>from</strong><br />

bulb scales was investigated. Up till now, no precise histological<br />

analysis of the different stages of development<br />

has been performed during the in vitro morphogenesis of<br />

F. meleagris L. A histological view of the developmental<br />

stages of somatic embryogenesis of F. meleagris L is<br />

presented in this study.<br />

MATERIALS AND METHODS<br />

Embryogenic callus induction <strong>from</strong> mature zygotic embryos<br />

Seeds of F. meleagris L. were washed with running water for 1 h<br />

and then surface sterilized in 20% bleach solution (sodium<br />

hypochlorite) for 20 min. After sterilization, seeds were washed with<br />

sterile deionised water 3 times for 5 min. Mature embryos were<br />

isolated aseptically and were used as explants for embryogenic<br />

callus induction. All media were adjusted to pH 5.8 with 1 N NaOH<br />

and autoclaved at 121°C with 1.4 kg/cm 2 for 25 min. All cultures<br />

were maintained at 24 ± 2°C under fluorescent light of 40 μmol m -<br />

2 s -1 16 h light / 8 h dark photoperiod. The basal medium (BM) consisted<br />

of MS medium (Murashige and Skoog, 1962), 30 g/l sucrose,<br />

250 mg/l casein hydrolysate, 250 mg/l L-proline, 80 mg/l adenine<br />

sulfate and was solidified with 7 g/l agar. Isolated mature zygotic<br />

embryos were cultured 4 weeks on three induction media:<br />

hormones free BM, BM with 2,4-D 1.0 mg/ l and BM with TDZ 1.0<br />

mg/l. Formed callus were cultivated on same media. Bulblet formation<br />

was observed on BM supplemented with TDZ 1.0 mg/l.<br />

Somatic embryos and bulblets formation <strong>from</strong> bulblet scale<br />

sections<br />

Bulbs formed on BM supplemented with TDZ 1.0 mg/l were cut on 4<br />

scale sections and cultured on BM that contained different<br />

concentrations of 2,4-D in mg/l (0.1, 0.5, 1.0, 2.0, 5.0 10.0) and<br />

TDZ (0.05, 0.1, 0.2, 0.5, 1.0 and 2.0). Hormone free medium (BM)<br />

was used as control. Cultures were incubated for 4 weeks on light<br />

and dark conditions at 24 ± 2°C. After 4 weeks on induction media,<br />

the number of somatic embryos was measured per the number of<br />

embyogenic callus. Each experiment consisted of 10 explants per<br />

culture vessel and three replicate vessels per treatment. The<br />

experiments were repeated at least three times. Statistical analysis<br />

was performed <strong>using</strong> StatGrafics software version 4.2 (STSC Inc.,<br />

Rockville, Marylend, USA). Data were subjected to analysis of<br />

variance (ANOVA) and comparisons between the mean values of<br />

treatments were made by the least significant difference (LSD) test<br />

calculated at the confidence level of P≤ 0.05. For bulblet formation,<br />

4 weeks after initiation of culture, percentage of bulblet formation<br />

was measured by dividing the number of explants producing<br />

bulblets per number of cultured explants.<br />

Rooting and acclimation<br />

Regenerated bulbs were cultured on BM without growth regulators<br />

for 9 weeks at 4°C. The cultures were incubated for the same time<br />

on light conditions at 24 ± 2°C and were used as control. Rooted<br />

bulbs were transferred into soil, covered with glasses and moved to<br />

the greenhouse. This experiment involved 80 to 100 bulbs with<br />

three replications. After 2 weeks in the growth chamber, the<br />

regenerants were gradually exposed to reduced relative humidity by<br />

progressively removing the glass cover over a period of three<br />

weeks. Plantlets survived the acclimatization and grew slow and<br />

well.<br />

Histological study<br />

Ontogeny of somatic embryo development <strong>from</strong> mature zygotic<br />

embryos was studied histologycally. Embryogenic callus and<br />

somatic embryos were fixed in a solution of formalin, alcohol and<br />

acetic acid (FAA), 100 ml of which contains 5.4 ml formalin (37 %),<br />

65.5 ml ethanol (96%), 5 ml glacial acetic acid and 24 ml distilled<br />

water (Jensen, 1962). Parts of the explants with different developmental<br />

structures were cut and embedded in Histowax (Sweden).<br />

At the beginning of this process, the samples were dehydrated in 2h<br />

steps through a graded series of ethanol (50, 70, 96 and 100%).<br />

The samples were then embedded in Histowax (Histolab, Sweden)<br />

for 72 h at 58°C. Slices (5 μm) were cut at room temperature <strong>using</strong><br />

rotary microtome (Reichert-Vienna) equipped with type 819<br />

microtome blades (Leica, Germany). Slices were stretched on a<br />

drop of distilled water and mounted on slides. They were stained<br />

with haematoxyline (Jensen 1962). Sections were mounted in DPX<br />

before microscopic examination (Leica, Leitz DMRB, Germany).<br />

RESULTS<br />

Embryogenic callus induction <strong>from</strong> mature zygotic<br />

embryos<br />

The BM containing 1 mgl -1 TDZ and hormone free medium


were the most efficient for inducing yellow-white and<br />

compact embryogenic callus (Figure 1 a). Embryogenic<br />

callus produced embryos on the induction medium itself<br />

(Figure 1 b). Embryogenic callus with embryos were used<br />

for further maturation experiments. Multiplication of<br />

somatic embryos and bulblet formation of F. meleagris L.<br />

were also achieved on BM containing TDZ 1 mgl -1 (Figure<br />

1c and d). In the investigation, 2,4-D had no effects on<br />

embryogenic callus formation as well as somatic embryo<br />

and bulbs development (data not shown).<br />

Somatic embryos and bulblets formation <strong>from</strong> bulblet<br />

sections<br />

In this work, regeneration <strong>from</strong> in vitro bulblet sections of<br />

F. meleagris L was also investigated. Formation of<br />

somatic embryos and bulblets <strong>from</strong> sections was<br />

analyzed under continuous dark and under 16 h light / 8 h<br />

dark cycle at 24 ± 2°C. In the case of F. meleagris L.,<br />

bulblet sections responded well to 16 h light / 8 h dark<br />

growth conditions when compared to continuous dark<br />

regime and also produced more somatic embryos bulblets.<br />

The BM medium without growth regulators induced<br />

a few somatic embryos and about two bulblets per<br />

explant. The number of developed somatic embryos was<br />

higher in cultures grown on BM supplemented with TDZ<br />

(Table 1, Figure 1 e, f and g) than on BM with 2,4-D on<br />

both treatments (light/dark). The highest number of<br />

somatic embryos was noticed on BM supplemented with<br />

TDZ (0.2 mgl -1 ) under light condition and with TDZ (0.1<br />

mgl -1 ) under dark condition. The number of somatic<br />

embryos was concentration dependent and increased<br />

until the concentration of TDZ was 0.2 and 0.1 mgl -1<br />

under light/dark, respectively. The number of formed<br />

somatic embryos constantly decreased on higher concentrations<br />

of TDZ. The highest number of somatic<br />

embryos on BM with 2,4-D was observed in 1 mg l -1<br />

under light and dark conditions (Table 2). The number of<br />

somatic embryos was also concentration dependent and<br />

decreased on higher concentrations of 2,4-D. Generally,<br />

the number of formed bulblets was significantly smaller<br />

than the number of formed somatic embryos on the same<br />

media. The BM supplemented with TDZ was superior in<br />

the induction of bulblets under light (14.93%) and dark<br />

(3.6%) conditions. The maximum number (2.76) of bulblets<br />

was observed on BM supplemented with TDZ (0.05<br />

mgl -1 ) under light condition and maximum number (2.1) of<br />

bulblets under darkness condition was observed on BM<br />

with TDZ (0.5 mgl -1 ). The number of bulblets formed on<br />

BM supplemented with 2,4-D was small under light<br />

condition (4.12%) as under darkness condition (2.32%).<br />

Acclimation<br />

The results indicated that cold treatment was suitable for<br />

Marija et al. 16183<br />

overcoming the dormancy and rooting of the harvested<br />

bulblets and with this treatment, 60.45% of bulblets<br />

sprouted in ex vitro transplantation. The average number<br />

of roots per bulb was 2 and the average length of root<br />

was 8.49 mm (Figures 1h and i). Rooted plantlets <strong>from</strong><br />

each treatment were acclimatized in greenhouse conditions<br />

(Figure 1j).<br />

Histological analysis of somatic embryos<br />

development<br />

After three weeks of somatic embryogenesis induction on<br />

BM medium with TDZ 1 mg/l, a proliferate burst in the<br />

epidermal and subepidermal layers and the beginning of<br />

cellular segregation was seen (Figure 2a). The intensive<br />

periclinal division of these cells led to the formation of<br />

distinct cell groups which could be interpreted as early<br />

stages in embryogenesis. These were present in groups<br />

of 6 to 8 isodiametric meristematic cells with prominent<br />

nuclei and dense cytoplasm (Figure 2b). Cell divisions<br />

then progressively became asynchronous and lost<br />

periclinal orientation, thus produced compact, smoothsurfaced<br />

and meristematic masses clearly delimited by a<br />

protoderm (Figure 2c). Such nodular structures were also<br />

formed deeply within the bulb or primary explant (Figure<br />

2d). Further development of these proembryo structures<br />

led to the formation of globular somatic embryo at the<br />

surface of explant as shown in Figure 2e. All<br />

developmental stages on the explant in the same time<br />

indicated asynchronous development of somatic embryos.<br />

Well-organized globular shaped structures developed<br />

further through the characteristic heart-shaped stage to<br />

form a cotyledonary stage embryo (Figures 2f and g).<br />

The embryo had a shoot primordial enclosed within a pair<br />

of cotyledons and a distinct root primordium (Figure 2g).<br />

Moreover, this advanced stage or developed somatic<br />

embryos showed a contained provascular strand. The<br />

developing somatic embryos had no detectable vascular<br />

connection with primary explants. The cotyledonary node<br />

region programmed for shoot organogenesis showed<br />

development of a shoot primordium with a well-defined<br />

dome shaped apical meristem (Figure 2h).<br />

DISCUSSION<br />

The bulbous plants reproduced vegetatively and the<br />

process of multiplication was very low. Beside the<br />

advantages of efficient propagation, somatic embryogenesis<br />

has several basic applications to biotechnology<br />

of this plant including F. meleagris L. In this study,<br />

morphogenic responses obtained <strong>from</strong> mature zygotic<br />

embryos and bulblet scale explants of F.meleagris L. of<br />

known ornamental and medicinal value are of interest<br />

considering the potential of tissue culture for the<br />

improvement of plant conservation methods. Somatic


16184 Afr. J. Biotechnol.<br />

Figure 1. Differentiation of somatic embryos and bulblets of F.meleagris L. (A) Embryogenic callus<br />

induced on the BM containing 1.0 mgl -1 TDZ <strong>from</strong> mature zygotic embryos (bar = 0.5 mm); B, formation of<br />

somatic embryos on embryogenic callus (bar = 0.5 mm); C and D, somatic embryos and bulblets<br />

multiplication on medium with 1.0 TDZ mgl -1 (bar = 0.8 mm); E, Somatic embryos on bulb section on BM<br />

with: 0.1 mgl -1 TDZ under light condition (bar = 0.5 mm); F; with 0.1 mg l -1 TDZ under dark condition (bar<br />

= 0.5 mm); G, bulblets on bulb section on BM with 0.5 mgl -1 TDZ under dark condition (bar = 0.5 mm); H<br />

rooted bulb after 9 weeks cold treatment (bar = 1 cm); I, rooted plant on BM medium without hormone (bar<br />

= 1 cm); J, potted in vitro plantlets in greenhouse condition (bar = 1 cm); EC, embryogenic callus; SE,<br />

somatic embryo; B, bulblet.


Marija et al. 16185<br />

Table 1. The effect of different concentrations of 2,4-D (mg l -1 )on somatic embryos induction for in vitro bulblet sections of F.<br />

meleagris L.<br />

Growth<br />

condition<br />

Concentration of 2,4-D (mg l -1 )<br />

0 0.1 0.5 1.0 2.0 5.0 10.0<br />

Light 4.95±0.65 a 5.07±0.53 bc 4.66±0.43 bc 5.36±0.66 c 3.77±0.37 ab 2.46±0.25 a 2.38±0.28 a<br />

Darkness 4.62±0.59 a 3.95±0.39 b 3.8±0.31 b 4.21±0.44 b 2.77±0.22 a 3.54±0.27 ab 3.32±0.37 ab<br />

Values shown are means of 3 replicates of 32 explants each. Values represent mean SE. Means followed by the same letters within<br />

columns are not significantly different according to LSD test at p ≤ 0.05 probability level.<br />

Table 2. The effect of different concentration of TDZ (mg l -1 ) on somatic embryos induction for in vitro bulblet sections of F. meleagris<br />

L.<br />

Growth<br />

condition<br />

Concentration of TDZ (mg l -1 )<br />

0 0.05 0.1 0.2 0.5 1.0 2.0<br />

Light 4.95±0.65 a 5.96±0.64 b 6.07±0.62 b 7.31±0.95 b 6.33±0.73 b 4.11±0.36 a 4.01±0.35 a<br />

Darkness 4.62±0.59 a 3.0±0.31 a 6.55±0.78 c 6.11±0.57 c 5.44±0.57 bc 4.22±0.37 ab 3.20±0.31 a<br />

Values shown are means of 3 replicates of 32 explants each. Values represent mean SE. Means followed by the same letters within columns<br />

are not significantly different according to LSD test at p ≤ 0.05 probability level.<br />

embryogenesis represents a simple and very efficient<br />

alternative means of regenerating large number of<br />

monocotyledonous geophytes such as saffron (Ahuja et<br />

al., 1994), Narcissus (Sage et al., 2000) and Lilium (Kim<br />

et al., 2003).<br />

Explant source is one of the most important factors in<br />

the induction of morphogenetic response of in vitro cultures,<br />

especially in monocots where cells diffentiate early<br />

and quickly and so lose their morphogenetic potential<br />

(Krishnaraj and Vasil, 1995). Only parts of the plant that<br />

are close to meristematic tissue in vivo can respond to in<br />

vitro treatments. Zygotic embryos are frequently used as<br />

explants for initiating embryogenic culture and physiological<br />

conditions of the explants play an important role in<br />

the induction process. These highly regenerative organs<br />

can be an alternative source for in vitro propagation of<br />

rare species such as F. meleagris L. The type and<br />

concentration of plant growth regulators in the culture<br />

medium play an important role in induction and development<br />

of somatic embryos. The induction of somatic<br />

embryogenesis <strong>using</strong> only 2,4-D as a growth regulator<br />

has been observed in many monocotyledons species<br />

such as Allium aflatunense (Subotić et al., 2006), Allium<br />

sativum (Luciani et al., 2006) and rice (Meneses et al.,<br />

2005). Cytokinins are known to enhance plant differentiation<br />

and are mostly used in the regeneration medium in<br />

plant tissue culture. Thidiazuron is able to induce diverse<br />

morphogenic responses, ranging <strong>from</strong> tissue proliferation<br />

to adventitious shoot and somatic embryo formation. Of<br />

all the plant growth regulators used, embryo axes of<br />

Allium magnum cultured on the media that contained only<br />

TDZ (1.0 to 2.0 mgl -1 ) and IAA (0.25 to 2.0 mg l -1 )<br />

produced green-yellowish and friable embryogenic calli<br />

(Xie and Hong, 2001). Apart <strong>from</strong> its cytokinin-like<br />

activity, TDZ has been suggested to be a modulator of<br />

the endogenous auxin level. Of interest in this contest is<br />

the modulation of endogenous auxin by TDZ (Hutchinson<br />

et al., 1996), since the induction of somatic embryogenesis<br />

is commonly associated with auxins (Visser et<br />

al., 1992). Previous in vitro culture studies of Fritillaria<br />

thunbergii showed that addition of growth regulators to<br />

the medium enhanced the effect on bulblet regeneration<br />

(Sun et al., 1977; Seon et al., 1999). In F. melegris L.,<br />

typically bulbous plant somatic embryos led to formation<br />

of bulblets. Similar morphogenic pathways <strong>using</strong> petal<br />

explants was reported previously for F. imperialis<br />

(Mohammadi-Dehceshmen et al., 2007).<br />

Bulblet scale explants are the most commonly used<br />

primary explants for in vitro propagation of Fritillaria<br />

species (Peak, 1996; Witomska, 2000). The results of<br />

usage of different concentrations of 2,4-D and TDZ in<br />

culture of bulblet scales of F. meleagris, did not only<br />

induce somatic embryogenesis, but also stimulated the<br />

formation of bulblet. Bulblets formation differed among<br />

the hormone concentrations in BM medium. The results<br />

indicated that a range of 0.05 to 0.5 mg l -1 TDZ was an<br />

optimal concentration for bulblets formation of F. melegris<br />

L. This was low when compared with the efficiencies<br />

reported for production of bulblets in culture of bulblets<br />

scale of F. thunbergii (Peak and Murthy, 2002). These<br />

authors established high frequency bulblets regeneration<br />

<strong>using</strong> various concentrations of cytokinis and NAA. To<br />

improve on the present results, many combinations of<br />

2,4-D and TDZ in BM medium will be tested.<br />

Light suppresses bulblet formation (Stimart and Ascher,<br />

1978) and the dark was more favorable for bulblet<br />

regeneration in Lillium (Niimi and Onozawa, 1979). A<br />

similar effect of light/dark regimes was noticed during the


16186 Afr. J. Biotechnol.<br />

Figure 2. Histological observation of somatic embryogenesis <strong>from</strong> bulbs culture of F. meleagris L. (a) Cross-section of<br />

bulb showing small clumps of densely stained cells in subepidermal layer (bar = 60 μm); (b) Initial periclinal divisions in<br />

superficial layers of explant (bar = 30 μm); (c) Section showing extrusion through the epidermis of proliferating<br />

meristematic masses (bar = 60 μm); (d) Proembryogenic stages containing approximately 40 cells (bar = 120 μm); (e)<br />

Somatic embryos at the globular stages (bar = 240 μm); (f) Heart-shaped embryo with procambial strands (bar = 240<br />

μm); (g) Cotiledonary embryo with a cotyledons, procambial strands and root meristem (bar = 240 μm); (h)<br />

Longitudinal section of somatic embryos with well developed apical meristem and leaf (bar = 120 μm); (i) Detail of<br />

apical meristem and well developed leaf (bar = 60 μm).<br />

growth of bulblet of Lillium longiflorum (Leshem et al.,<br />

1982). In Hyacintus, effect of light or darkness on bulblet<br />

regeneration <strong>from</strong> flower buds was cultivar dependent<br />

(Kim et al., 1981). Light accelerated bulblet formation on<br />

all types of Fritillaria imperialis explant used (Witomska<br />

and Lukaszewska, 1997). Tissue cultures of fritillaries<br />

also need low temperature; callus and bulblets are normally<br />

induced at standard growth room temperature but<br />

in order to develop further growth of in vitro formed<br />

bulblets, they need 2 to 15°C of cold treatment (Peak,<br />

1996). Cold treatment (4°C) had great positive effect on<br />

breaking the dormancy that resulted in the increase in<br />

rooting and sprouting of F. meleagris bulblets formed in<br />

vitro.<br />

Structural analysis is an important step in the study of<br />

in vitro somatic embryogenesis (Yeung, 1999). The histology<br />

observations suggest that the first stage of development<br />

of somatic embryos was characterized by breaking


up of the meristematic masses. Active cell division in the<br />

superficial layers led to the formation of clusters that were<br />

composed of small isodiametric cells followed by the<br />

formation of epidermis. The stages of differentiation<br />

during somatic embryogenesis in F. melegris L. reported<br />

in this work are in agreement with observation previously<br />

reported in several geophytes as in the case of<br />

Narcissus (Sage et al., 2000) and Allium sativum (Fereol<br />

et al., 2000).<br />

Conclusion<br />

In vitro culture techniques are an important aid for the<br />

multiplication of plant species, which have limitations of<br />

conventional propagation. In this study, a protocol for<br />

somatic embryogenesis and bulblets regeneration of F.<br />

meleagris L. is envisaged as a means for germplasm<br />

conservation to ensure the survival of this endangered<br />

plant. This is an important step in for further studies of<br />

efficient regeneration <strong>from</strong> other sources of explants as<br />

well as genetic transformation in F. meleagris L.<br />

ACKNOWLEDGEMENT<br />

This research was financially supported by Serbian<br />

Ministry of Science and Technological Development-<br />

Project (No ON173015).<br />

REFERENCES<br />

Ahuja A, Koul A, Ram G, Kaul Bl (1994) Somatic embryogenesis and<br />

plant regeneration in saffron , Crocus sativus L. <strong>India</strong>n J. Exp. Biol.<br />

32: 135-140.<br />

Fereol L, Chovelon V, Causse S, Michaux-Ferriere N, Kahane R (2002)<br />

Evidence of a somatic embryogenesis process for the plant<br />

regeneration in garlic (Allium sativum L.). Plant Cell Rep. 21: 197-<br />

203.<br />

Gao SL, Zhu DN, Cai ZH, Jiang Y and Xu DR (1999). Organ culture of a<br />

precious Chinese medicinal plant-Fritillaria unibracteata. Plant Cell<br />

Tissue Org. Cult. 59: 197-201.<br />

Hutchinson MJ, Murch SJ, Saxena PK (1996). Morphoregulatory role of<br />

TDZ: evidence of the involvement of endogenous auxin in TDZinduced<br />

somatic embryogenesis of geranium (Pelargonium ×<br />

hortorum Bailey). J. Plant Phys. 149: 573-579.<br />

Jensen WA (1962). Botanical Histochemistry, Gauthier-Villars, San<br />

Francisco, CA, USA, 1-408.<br />

Jiménez VM (2005). Involvement of plant hormones and plant growth<br />

regulators on in vitro somatic embryogenesis. Plant Growth Regul.<br />

47: 91-110.<br />

Kim SK, Lee JS, Huang KH, Ahn BJ (2003). Utilization of<br />

embryogenesis cell cultures for the mass production of bulblets in<br />

Oriental and Easter Lilias. Acta Hortic. 625: 253-259.<br />

Kim YJ, Hasegawa PM and Bressan RA (1981). In vitro propagation of<br />

Hyacinthus. Hort. Sci. 16: 645-647.<br />

Komamine A, Murata N, Nomura K (2005). Mechanisms of somatic<br />

embryogenesis in carrot suspension cultures-morphology,<br />

physiology, biochemistry and molecular biology. In vitro Cell. Dev.<br />

Biol. Plant, 41: 6-10.<br />

Krishnaraj S, Vasil IK (1995). Somatic embrogenesis in herbaceous<br />

monocots. In: Thorpe TA (ed) In Vitro Embryogenesis in Plants,<br />

Kluwer <strong>Academic</strong> Publishers, Dordrecht, pp. 417-470.<br />

Marija et al. 16187<br />

Kukulezanka K, Kromor K, Czastka B (1989). Propagation of Fritillaria<br />

meleagris L. through tissue culture. Acta Hortic. 251: 147-153.<br />

Leshem B, Lilien-Kipnis H, Steintiz B (1982). The effect of light and of<br />

explant orientation on the regeneration and subsequent growth of<br />

bulblets of Lillium longiflorum Thumb. Bulb scale sections cultured in<br />

vitro. Sci. Hortic. 17: 129-136.<br />

Li SL, Li P, Lin G, Chan SW, Ho YP (2000). Simultaneous determination<br />

of seven major isosteroidal alkaloids in bulb of Fritillaria by gas<br />

chromatography. J. Chromatogr. A 873: 221-228.<br />

Li SL, Lin G, Chan SW and Li P (2001). Determination of the major<br />

isosteroidal in bulbs of Fritillaria by high-performance liquid<br />

chromatography coupled with evaporative light scattering detection.<br />

J. Chromatogr. A 909: 207-214.<br />

Luciani GF, Mary AK, Pellegrini C and Curvetto NR (2006). Effects of<br />

explants and growth regulators in garlic callus formation and plant<br />

regeneration. Plant Cell Tissue Org. Cult. 87: 139-143.<br />

Meneses A, Flores D, Munoz M, Arrieta G and Espinoza AM (2005).<br />

Effect of 2, 4-D hydric and light on indica rice (Oryza sativa) somatic<br />

embryogenesis. Rev. Biol. Trop. 53: 3-4.<br />

Mohammadi-Dehcheshmeh M, Khalighi A, Naderi R, Ebrahimie E and<br />

Sardari M (2007). Indirect somatic embryogenesis <strong>from</strong> petal explant<br />

of endangered wild population of Fritillaria imperialis. Pak J. Biol. Sci.<br />

10: 1875-1879.<br />

Murashige T, Skoog F (1962). A revised medium for rapid growth and<br />

bioassays with tobacco tissue culture. Phys. Plant. 15: 473-497.<br />

Nadeem M, Palni LMS, Purohit AN, Pandey, H, Nandi SK (2000)<br />

Propagation and conservation of Podophyllum hexandrum Royle: an<br />

important medicinal herb. Biol. Conserv. 92: 121-129.<br />

Niimi Y, Onozawa T (1979). In vitro bulblet formation <strong>from</strong> leaf<br />

segments of lilies, especially Lillium rubellum Baker. Sci. Hortic. 11:<br />

379-389.<br />

Özcan S, Parmaksiz I, Mirici S, Çöçü S, Uranbey S, Ipek A, Sancak C,<br />

Sarihan E, Gürbüz B, Sevimay CS, Arslan N (2007). Efficient in vitro<br />

bulblet regeneration <strong>from</strong> immature embryos of endemic and<br />

endangered geophyte species in Sternbergia, Muscari and Fritillaria<br />

Genera. In: Xu Z, Li J, Xue Y, Yang W (Eds) Biotechnology and<br />

Sustainable Agriculture 2006 and Beyond, Springer, Berlin, Germany,<br />

pp. 381-383.<br />

Paek KY (1994). Micropropagation of Fritillaria thunbergii. Research<br />

report of Ministry of Science and Technology in Korea, pp. 1-123.<br />

Paek KY (1996). Several factors affecting bulblet regeneration <strong>from</strong> the<br />

culture of scale segment on none-bud in fritillary as medicinal<br />

bulbous plant. Acta Hortc. 440: 498-503.<br />

Paek KY, Murthy HN (2002). High frequency of bulblet regeneration<br />

bulb scale sections of Fritillaria thunbergii. Plant Cell Tissue Org.<br />

Cult. 68: 247-252.<br />

Quiroz-Figueroa F, Rojas-Herrera R, Galaz-Avalos RM, Layola,Vargas<br />

V (2006). Embryo production through somatic embryogenesis can be<br />

used to study cell differentiation in plants. Plant Cell Tissue Org. Cult.<br />

86: 285-301.<br />

Radojević Lj, Subotić A (1992). Plant regeneration of Iris setosa Pall.<br />

through somatic embryogenesis and organogenesis. J. Plant Physiol.<br />

139: 690-696.<br />

Sage OD, Lynn J, Hammatt N (2000). Somatic embryogenesis in<br />

Narcissus pseudonarcissus cvs. Golden Harvest and St. Keverne.<br />

Plant Sci. 150: 209-216.<br />

Seon JH, Paek KY, Gao WY, Park CH, Sung NS (1999). Factors<br />

affecting micropropagation of pathogen – free stocks in Fritillaria<br />

thunbergii. Acta<br />

Hortic. 502: 333-337.<br />

Stimart DP, Ascher PD (1978). Tissue culture of bulb scale section for<br />

sexual propagation of Lillium longiflorum Thumb. J. Am. Soc. Hort.<br />

Sci. 502: 180-184.<br />

Sun CS, Wang DY (1991). Fritillaria spp. (Fritillary): In vitro Culture and<br />

Regeneration of Plants. Biotechnology in Agriculture and Forestry,<br />

Vol. 15 Medicinal and Aromatic plants III (eds.) Bajaj YPS, Springer-<br />

Verlag Berlin Hiedelberg, pp. 258-269.<br />

Sun CS Chu CC, Wang DY (1977). Callus formation and organ<br />

formation in the tissue culture of Fritillaria thunbergii Miq. Acta Bot.<br />

Sin. 19: 161-162. (in Chinese with English summary).<br />

Visser C, Quereshi JA, Gill R, Saxena PK (1992). Morphoregulatory role<br />

of thidiazuron: substitution of auxin and cytokinin requirement for the


16188 Afr. J. Biotechnol.<br />

induction of somatic embryogenesis in geranium hypocotyl cultures.<br />

Plant Physiol. 99: 1704-1707.<br />

Witomska M Lukazewska AJ (1997). Bulblet regeneration in vitro <strong>from</strong><br />

different explants of Fritillaria imperialis. Proc. Int. Symp. on Flower<br />

Bulbs. Eds. Lilien-Kipnis H, Halevy AH, Borochov A, Acta Hortic. 430:<br />

331-338.<br />

Witomska M (2000). Effect of temperature on the in vitro propagation<br />

Fritillaria imperialis. Zeszyty naukowe instytutu sadownictwa I<br />

kwiaciarstwa w skierniewicach 7: 343-348.<br />

Xie DY Hong Y (2001). Regeneration of Acacia magnum through<br />

somatic embryogenesis. Plant Cell Rep. 20: 34-40.<br />

Yeung EC (1999). The use of histology in the study of plant tissue<br />

culture systems-some practical comments. In Vitro Cell Dev. Biol.<br />

Plant, 35: 137-143.


African Journal of Biotechnology Vol. 10(72), pp. 16189-16192, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1822<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Meiotic behavior and pollen fertility of five species in<br />

the genus Epimedium<br />

Yu Jiang, Chunbang Ding*, Haixia Yue and Ruiwu Yang<br />

College of Biology and Science, Sichuan Agricultural University, Yaan 625014, China.<br />

Accepted 9 September, 2011<br />

Meiotic behavior and pollen fertility were analysed in five Epimedium species: Epimedium chlorandrum,<br />

Epimedium acuminatum, Epimedium davidii, Epimedium ecalcaratum and Epimedium pubescens.<br />

Chromosome numbers for five species were 2n = 2x = 12. All examined species displayed stable meiotic<br />

process and high pollen fertility (>76.67%). Meiotic abnormality partially affected pollen fertility. At<br />

metaphase I, the predominant chromosome configuration was 6II, and occasionally, 5II + 2I. A low<br />

frequency of meiotic abnormalities was recorded in five species. Chromosome bridges, laggards and<br />

micronuclei were the main abnormalities observed in Epimedium. “Diagonal bridge” was first found in E.<br />

chlorandrum due to the altered spindle axis. Polyad was only presented in E. davidii and might have<br />

resulted <strong>from</strong> abnormal cytokinesis. Pollen fertility was correlated with meiotic abnormality.<br />

Keywords: Epimedium, meiosis, chromosomal abnormality, pollen fertility.<br />

INTRODUCTION<br />

The genus Epimedium, with more than 60 species, is<br />

common in the Mediterranean region and the western<br />

Asia (Stearn, 2002). China is the center of genus diversity,<br />

and has approximately 52 taxa of Epimedium (Ying, 2002;<br />

Guo et al., 2008). The major bioactive components in<br />

Epimedium are flavonoids and more than 60 flavonoids<br />

have been identified (Wu et al., 2008; Chen et al., 2008).<br />

It is effective in strengthening kidneys, enhancing sexual<br />

performance, treating cardiovascular diseases and<br />

improving immunity (Kovačević et al., 2006; Xu et al.,<br />

2007).<br />

Cytogenetics on the genus Epimedium has mainly been<br />

devoted to chromosome counts. The chromosome<br />

numbers have been determined for 18 species <strong>from</strong><br />

China and 11 species <strong>from</strong> Japan (Sheng et al., 2010;<br />

Kuroki, 1970, 1967). In Epimedium, most species are<br />

diploid with 2n = 2x = 12, except E. yingjiangense with 2n<br />

= 4x =24 (Sheng et al., 2010). Meiotic analyses in the<br />

genus Epimedium are few and only available in hybrid<br />

populations (Sheng et al., 2011). Pollen fertility was high<br />

in hybrids (>76.10%) and meiotic abnormalities occurred<br />

*Corresponding author. E-mail: dcb@sicau.edu.cn. Tel: +86 835<br />

288 6170. Fax: +86 835 288 6136.<br />

in a minority, including chromosome bridges in anaphase<br />

I/anaphase II, laggards in anaphase I, irregular<br />

chromosome segregation in anaphase I/anaphase II and<br />

micronuclei in telophase II/telophase II (Sheng et al.,<br />

2011). The regular meiosis ensures gamete viability and<br />

meiotic irregularities would generate sterile gamete and<br />

decrease the pollen viability (Pagliarini, 2000). Basic data<br />

on chromosome number, meiosis and pollen fertility<br />

estimations are important to study biodiversity, for<br />

germplasm characterization and for applications to plant<br />

breeding.<br />

This study presents the first reports on the meiotic<br />

behavior in pollen mother cells (PMCs) and pollen fertility<br />

of five species of Epimedium: Epimedium chlorandrum,<br />

Epimedium acuminatum, Epimedium davidii, Epimedium<br />

ecalcaratum and Epimedium pubescens.<br />

MATERIALS AND METHODS<br />

Five species examined in the present study are listed in Table 1.<br />

Voucher specimens have been preserved in the Herbarium of<br />

Sichuan Agricultural University (SAU). All plants were cultivated in<br />

the Botanical Experimental Area of the College of Biology and<br />

Science at SAU.<br />

Flower buds in the ideal stage for meiotic analysis were collected,<br />

fixed in acetic alcohol (1:3) for 24 h, transferred to 70% ethanol and


16190 Afr. J. Biotechnol.<br />

Table 1. Sample numbers, chromosome numbers, voucher and localities of Epimedium analysed.<br />

Species<br />

Number of plants<br />

observed<br />

Chromosome<br />

number (2n)<br />

Voucher Locality<br />

E. acuminatum 5 12 Yu E.M. 4106 Emei, Sichuan<br />

E. pubescens 5 12 Yu D.J. 2015 Dujiangyan, Sichuan<br />

E. chlorandrum 3 12 Yu Y.A. 1635 Baoxing, Yaan, Sichuan<br />

E. davidii<br />

E. ecalcaratum<br />

2<br />

1<br />

12<br />

12<br />

stored at 4°C. Slide preparations were made by the squash<br />

technique and stained with 1% propionic carmine. Almost 300 PMCs<br />

were analysed for each plant.<br />

Pollen grains were fixed in acetic alcohol (1:3) for 24 h at room<br />

temperature and stored in 70% alcohol at -18°C. Pollen fertility was<br />

estimated by examining the percentage of stained pollen grains with<br />

0.5% 2,3,5-triphenyltetrazolium chloride (TTC). At least, 300 pollen<br />

grains per plant were evaluated. Photomicrographs were taken with<br />

the Olympus microscope BX51.<br />

RESULTS<br />

A total of sixteen individuals belonging to five species of<br />

Epimedium were examined for meiotic behavior of PMCs.<br />

During the prophase I, the chromosomes condensed<br />

and then the homologous pairing was initiated. At<br />

diakinesis, 6 discrete bivalents linked by one or two<br />

chiasmata were visible. Rod and ring bivalents (Figure 1A<br />

and B) were dominant, while v-form bivalent (Figure 1B)<br />

was also observed. As meiosis proceeded into metaphase<br />

I, the highly condensed bivalents became aligned on the<br />

meiotic spindle and clustered in the equatorial plate of the<br />

cell. Frequent abnormality observed in metaphase I was<br />

precocious migrations or asynapsis with two univalents. In<br />

Epimedium, the predominant chromosome configuration<br />

was 6II and occasionally, 5II + 2I (Figure 1C). High<br />

irregularities were observed in anaphase I/telophase I.<br />

The percentage of bridge was the highest (26.67%) in E.<br />

chlorandrum (Figure 1D) and the lowest (3.33%) in E.<br />

ecalcaratum (Table 2). One or two laggard chromosomes<br />

(Figure 1E) were detected in E. chlorandrum, E.<br />

acuminatum and E. pubescens. Some micronuclei (Figure<br />

1F) were found in E. acuminatum and E. davidii at<br />

telophase I. The chromosomes despiralized, nucleoli and<br />

nuclear membranes reappeared and dyads were formed.<br />

In the second division, the chromosome recondesed at<br />

prophase II. Spindles at metaphase II mainly appeared<br />

paralleled (Figure 1G) and `T´ shaped (Figure 1H). At this<br />

point, cohesion at centromeres had broken down and<br />

sister chromatids separated at anaphase II. The chromo-<br />

some bridge was widely observed in anaphase II<br />

/telophase II. Unexpectedly, “diagonal bridge” was found<br />

in E. chlorandrum (Figure 1I). Cytokinesis generated<br />

Yu Y. A. 6101<br />

Yu Y.A.1401<br />

Baoxing, Yaan, Sichuan<br />

Baoxing, Yaan, Sichuan<br />

symmetric (Figure 1J) or tetrahedral (Figure 1K) tetrad<br />

containing haploid microspores. The minority of cells<br />

presented tetrahedral tetrad with micronuclei (Figure 1L).<br />

Polyad was observed frequently (16.00%) in E. davidii<br />

(Figure 1M).<br />

The pollen fertility in five species is listed in Table 2.<br />

Pollen fertility was about 80%; the highest was 90% in E.<br />

ecalcaratum and the lowest was 76.67% in E. davidii.<br />

DISCUSSION<br />

We have investigated the meiotic process of PMCs of five<br />

Epimedium species. Chromosome counts for 5 species<br />

indicate diploidy with 2n = 2x = 12, which is consistent<br />

with the previous reports (Sheng et al., 2010).<br />

The meiosis is basically normal with few abnormalities,<br />

involving univalents, chromosome bridges, unexpectedly<br />

“diagonal bridge”, laggards, micronuclei and polyploid.<br />

Univalents were observed at metaphase I in E.<br />

chlorandrum and E. davidii. Precocious migration of<br />

univalents may have resulted <strong>from</strong> precocious chiasma<br />

terminalization at diakinesis or metaphase I or <strong>from</strong><br />

synaptic mutants (Bione et al., 2000). These meiotic<br />

abnormalities may produce micronuclei in telophase I and<br />

meiosis II.<br />

The most frequent abnormalities were bridges and<br />

laggards at anaphase I / II (Figure 1D, E and I). The<br />

highest percentage of bridges and laggards was observed<br />

in E. chlorandrum (26.67 and 5.00%). When cell division<br />

occurs, a broken chromosome with two centromeres is<br />

pulled to the opposite poles of the cell, forming a long<br />

chromosome bridge called chromatid bridge (Zhang et al.,<br />

1997). Rothfels (1975) demonstrated that the bridge may<br />

originate <strong>from</strong> chiasma formation in heterozygous<br />

inversions. “Diagonal bridge” at anaphase II was caused<br />

by the altered spindle axis and reduced the pollen fertility<br />

(Zhang et al., 1997). The laggards observed in<br />

Epimedium may lead to micronucleus formation. The<br />

meiotic abnormalities found in interspecific hybrids and<br />

haploid plants accounted for low percentage of pollen<br />

fertility (Bione et al., 2000).<br />

Micronuclei and polyad with variable numbers of


Figure 1. (A) Diakinesis in E. chlorandrum, n = 6, with rod bivalent (black arrow)<br />

and ring bivalent (white arrow); (B) Diakinesis in E. ecalcaratum, n = 6, with<br />

v-form (white arrow) and ring bivalent (black arrow); (C) Metaphase I in E. davidii,<br />

with two univalents (arrow); (D) Anaphase I in E. chlorandrum, with bridge (arrow);<br />

(E) Anaphase I in E. chlorandrum, with laggards (arrow); (F) Telophase I in E. davidii,<br />

with micronulei (arrow); (G) Metaphase II in E. davidii, with micronuleus (arrow); (H)<br />

Metaphase II in E. chlorandrum, with spindles appearing in `T´ shape; (I) Metaphase<br />

II in E. chlorandrum, with “diagonal bridge” (arrow); (J) Symmetrical tetrad in E.<br />

pubescens; (K) Tetrahedral tetrad in E. acuminatum; (L) Tetrahedral tetrad with<br />

micronulei (arrow) in E. davidii; (M) Polyad in E. davidii. Scale bar = 5 μm.<br />

microspores were found in E. davidii (Figure 1F, G, L and<br />

M). The origin of polyad was diverse. In some species,<br />

micronuclei remained in the tetrad stage, affected the<br />

final product and formed ployads (Mendes-Bonato et al.,<br />

Jiang et al. 16191<br />

2001). Caetano-Pereira and Pagliarini (2001) reported<br />

that polyad were produced as a result of abnormal<br />

cytokinesis during meiosis, which generated sterile pollen<br />

grains. In E. davidii, the percentage of PMCs with polyad


16192 Afr. J. Biotechnol.<br />

Table 2. Frequency of abnormal PMCs and pollen fertility in Epimedium.<br />

Taxon<br />

Number of<br />

investigated<br />

PMCs<br />

Number of PMCs with meiotic abnormality (%)<br />

Bridges Laggards Micronuclei Polyads<br />

Total meiotic<br />

abnormality (%)<br />

Number of pollen<br />

grains analysed<br />

Pollen<br />

Number of pollen<br />

grains stained<br />

Pollen<br />

fertility (%)<br />

E. acuminatum 300 6.67 2.00 2.33 0.00 11.00 300 246 82.00<br />

E. pubescens 300 7.00 1.67 0.00 0.00 8.67 300 262 87.30<br />

E. chlorandrum 300 26.67 5.00 0.00 0.00 31.67 300 242 80.67<br />

E. davidii 300 9.11 1.62 11.6 16.00 38.33 300 230 76.67<br />

E. ecalcaratum 300 3.33 0.00 0.00 0.00 3.33 300 270 90.00<br />

(16.00%) and micronuclei (11.60%) was the<br />

highest (Table 2).<br />

The meiotic abnormalities found in the<br />

Epimedium analyzed here have accounted for<br />

pollen sterility. These meiotic abnormalities hinder<br />

the normal cell division and partially affected the<br />

pollen fertility. In E. davidii, the percentage of cells<br />

with meiotic abnormality was the highest (38.33%),<br />

while pollen fertility was the lowest (76.67%). High<br />

meiotic stability ensures high pollen fertility. For<br />

Epimedium hybrids, PMCs meiosis revealed minor<br />

abnormal chromosomal behaviors and high pollen<br />

fertility (Sheng et al., 2011). Table 2 shows that E.<br />

ecalcaratum had a low frequency (3.33%) of<br />

meiotic abnormality, as a consequence, a high<br />

pollen fertility (90.00%). Generally, the meiosis in<br />

Epimedium was stable (76.67%). The data available suggested that<br />

pollen fertility was significantly correlated with<br />

meiotic abnormality.<br />

In this paper, we provided a basic outline of<br />

meiosis in the genus Epimedium. Based on the<br />

data obtained, the PMCs split into four<br />

microspores and the whole meiosis was basically<br />

normal. The high pollen fertility was related to low<br />

level of meitotic abnormalities. The present paper<br />

enriches the database of cytology and can be<br />

useful for breeding program hybridization.<br />

REFERENCES<br />

Bione NCP, Pagliarini MS, Toledo JFF (2000). Meiotic behavior<br />

of several Brazilian soybean varieties. Genet. Mol. Biol. 23:<br />

623-631.<br />

Caetano-Pereira CM, Pagliarini MS (2001). A new meiotic<br />

abnormality in Zea mays: multiple spindles associated with<br />

abnormal cytokinesis in both divisions. Genome, 44:<br />

865-871.<br />

Chen XJ, Ji H, Zhang QW, Tu PF, Wang YT, Guo BL, Li<br />

SP (2008). A rapid method for simultaneous determination of<br />

15 flavonoids in Epimedium <strong>using</strong> pressurized liquid<br />

extraction and ultra-performance liquid<br />

chromatography. J. Pharm. Biomed. Anal. 46: 226-235.<br />

Guo BL, Pei LK, Xiao PG (2008). Further research on<br />

taxonomic significance of flavonoids in Epimedium<br />

(Berberidaceae). J. Syst. Evol. 46: 874-885.<br />

Kovačević N, Čolić M, Backović A, Došlov-Kokoruš Z (2006).<br />

Immunomodulatory effects of the methanolic extract of<br />

Epimedium alpinum in vitro. Fitoterapia, 77: 561-567.<br />

Kuroki Y (1967). Chromosome study in seven species of<br />

Berberdaceae. Memoir Ehime Univer sity Sectction II, Series<br />

B, 5: 175-181.<br />

Kuroki Y (1970). Chromosome study in four species of<br />

Berberdaceae. Memoir Ehime University Sectction II, Series<br />

B, 6: 215-221.<br />

Mendes-Bonato AB, Pagliarini MS, Silva N, Valle CB (2001).<br />

Meiotic instability in invader plants of signal grass Brachiaria<br />

decumbens Stapf (Gramineae). Acta Scientiarum, 23:<br />

619-625.<br />

Pagliarini MS (2000). Meiotic behavior of economically<br />

important plant species: the relationship between fertility and<br />

male sterility. Genet. Mol. Biol. 23: 997-1002.<br />

Rothfels K, Nambiar R (1975). The origin of meiotic bridges<br />

by chiasma formation in heterozygous inversions in<br />

Prosimulium multidentatum (Diptera: Simuliidae).<br />

Chromosoma (Berl.) 52: 283-292.<br />

Sheng MY, Wang LJ, Tian XJ (2010). Karyomorphology of<br />

eighteen species of genus Epimedium (Berberidaceae) and<br />

its phylogenetic implications. Genet. Resour. Crop Evol. 57:<br />

1165-1176.<br />

Sheng MY, Chen QF, Wang Lj, Tian XJ (2011). Hybridization<br />

among Epimedium (Berberidaceae) species native to China.<br />

Sci. Hortic. 128: 342-351.<br />

Stearn WT (2002). The genus Epimedium and other<br />

herbaceous Berberidaceae. Timber Press, Portland<br />

Wu CS, Guo BL, Sheng YX, Zhang JL (2008). Simultaneous<br />

determination of seven flavonoids in Epimedium by liquid<br />

chromatographytandem mass spectrometry method.<br />

Chinese Chem. Lett. 19: 329-332.<br />

Xu YQ, Li ZZ, Wang Y, Huang HW (2007). Allozyme diversity<br />

and population genetic structure of three medicinal<br />

Epimediumspecies <strong>from</strong> Hubei. J. Genet. Genomics 34:<br />

56-71.<br />

Ying TS (2002). Petal evolution and distribution patterns of<br />

Epimedium L., (Berberidaceae). Acta Phytotax. Sin. 40:<br />

481-489.<br />

Zhang SZ, Pan KY, Zhang DM, Hong DY (1997). Observation<br />

on abnormal meiosis of pollen mother cells in Paeonia<br />

suffruticacosa subsp. spontacea. Acta. Bot. Sin. 39:<br />

397-404.


African Journal of Biotechnology Vol. 10(72), pp. 16193-16201, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1203<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

In vitro antifungal activity of 63 Iranian plant species<br />

against three different plant pathogenic fungi<br />

Sohbat Bahraminejad 1 *, Saeed Abbasi 2 and Mehdi Fazlali 1<br />

1 Department of Agronomy and Plant Breeding, Campus of Agriculture and Natural Resources, Razi University,<br />

6715685438, Kermanshah, Iran.<br />

2 Department of Plant Protection, Campus of Agriculture and Natural Resources, Razi University, 6715685438,<br />

Kermanshah, Iran.<br />

Accepted 19 September, 2011<br />

Crude aqueous and methanolic extracts of 63 plant species belonging to 23 families collected <strong>from</strong> the<br />

west of Iran were screened for antifungal activity against three economically important<br />

phytopathogenic fungi, Cochliobolus sativus, Fusarium oxysporum and Rhizoctonia solani. Bioassay of<br />

extract was conducted by paper disc diffusion method on agar plate cultures with four replications. 21<br />

of the 63 (33%) plant species showed inhibitory activity against at least one of the fungi. 16 (25%), 10<br />

(16%) and 16 (25%) tested plant species inhibited the mycelial growth of R. solani, F. oxysporum and C.<br />

sativus, respectively. Centaurea behen, Lavandula sp., roots of Tribulus terrestris were the most active<br />

plant species against R. solani, F. oxysporum, and C. sativus, respectively. Extracts of Glycyrrhiza<br />

glabra, Rosmarinus officinalis, Avena sativa, Vaccaria pyramidata, Centaurea behen, Anagalis arvensis<br />

and T. terrestris exhibited a broad-spectrum of antifungal activity. According to these results, we<br />

conclude that the flora in the west of Iran can be regarded as a rich source of plants with antifungal<br />

activity. Therefore, further screening of other plant species, identifying active fractions or metabolites<br />

and in vivo application of active extracts are warranted.<br />

Key words: Antifungal activity, crude extract, Iranian plants, paper disc, phytopathogenic fungi.<br />

INTRODUCTION<br />

Crop losses due to plant diseases are estimated to be<br />

about 14% worldwide (Agrios, 2005) and 20% for major<br />

foods and cash crops (Oerke et al., 1994). Synthetic<br />

pesticides are the most effective method of the pest and<br />

disease control. In spite of hazardous impacts of<br />

chemical pesticide application including problems of<br />

public health, environmental pollution, toxic effect on nontarget<br />

organisms and ca<strong>using</strong> resistance in pest and<br />

disease agents (Rai and Carpinella, 2006; Kagale et al.,<br />

2004), it is believed that fungicides will remain essential<br />

for the control of plant diseases and it should be<br />

optimized under integrated pest management programs<br />

(Gullino et al., 2000). Integrated pest management (IPM)<br />

*Corresponding author. E-mail: sohbah72@hotmail.com.<br />

Tel/Fax: +98 8318323731.<br />

for conserving agro-ecosystem include the use of pestresistance<br />

cultivars, holding pests at tolerable levels and<br />

making use of natural products (Rai and Carpinella,<br />

2006).<br />

Regarding the problems created by synthetic pesticide<br />

application, environmentally safe methods are needed to<br />

replace chemical pesticides or reduce their consumption<br />

in ecosystem. Therefore, considerable search for<br />

biocides that are environmentally safe and easily<br />

biodegradable have been carried out during last two<br />

decades (Duke et al., 2003; Teggne et al., 2008).<br />

Investigation of plants containing natural antimicrobial<br />

metabolites for plant protection has been identified as a<br />

desirable method of disease control (Rai and Carpinella,<br />

2006; Kim et al., 2002). Given the effect of the plant<br />

species origin and genetic diversity on chemical<br />

composition, studies screening for novel antifungal<br />

compounds in plants <strong>from</strong> different part of the world are


16194 Afr. J. Biotechnol.<br />

needed. Hence, in this research, we screened plants<br />

<strong>from</strong> west of Iran.<br />

Iran is divided to 31 provinces including Kermanshah<br />

and Hamadan, with a vast range of climatic conditions<br />

located in the west of the country. Plant diversity is very<br />

rich in these two provinces; therefore, it is expected to<br />

find significant and distinct variation in secondary<br />

metabolites with antifungal activity. Iranian plants have<br />

been screened previously for antimicrobial activity<br />

(Sardari et al., 1998; Fazly Bazzaz et al., 1997; Fazly<br />

Bazzaz and Haririzadah, 2003; Shahidi Bonjar et al.,<br />

2004), but with a focus on activity against agents of<br />

diseases in human. There have been no screening<br />

studies for activity of Iranian plants against the<br />

phytopathogenic fungi.<br />

In this study, three destructive phytopathogenic fungi,<br />

Cochliobolus sativus, Fusarium oxysporum and<br />

Rhizoctonia solani were considered to test the antifungal<br />

activity of plant species. All the fungi are phytopathogenic<br />

fungi at farm level. Regarding the importance of<br />

screening plant crude extracts as first step of the project<br />

and the importance of bioactive crude extracts as ecofriendly<br />

agents, collected plants <strong>from</strong> the west of Iran<br />

were screened against all three fungi. The objective of<br />

the research was, as a part of larger screening program,<br />

to assess the antifungal activity of extracts <strong>from</strong> 63<br />

randomly-collected plant species in Kermanshah and<br />

Hamadan.<br />

MATERIALS AND METHODS<br />

Plant material and fungi<br />

63 plant species <strong>from</strong> 23 families were collected <strong>from</strong> the various<br />

parts of the provinces of Kermanshah and Hamadan in Western<br />

Iran (Table 1). As a part of a wider screening program, plants were<br />

randomly collected to increase the chance of finding plants with<br />

bioactive extracts. The plants were identified by the Herbarium at<br />

Razi University, College of Agriculture and the scientific names<br />

were checked in the International Plant Names Index<br />

(http://www.ipni.org/ipni/plantnamesearchpage.do). Each sample<br />

was cleaned, air dried in the shade and ground to a fine powder<br />

with a coffee grinder. More also, three economically important<br />

phytopathogenic fungi, C. sativus (S. Ito and Kurib.), F. oxysporum<br />

Schlecht. and R. solani Kühn were provided by the Agriculture and<br />

Natural Resources Research Centre of Kermanshah and the Plant<br />

Pathology Laboratory, College of Agriculture, Razi University.<br />

Preparation of plant extracts<br />

The powdered plant materials were extracted at room temperature<br />

<strong>using</strong> water and methanol. Aqueous extraction was achieved by<br />

adding 100 ml distilled water to 5 g of plant powder and brought to<br />

boil. Once boiled, the suspension was allowed to stand for 4 h<br />

before being filtered. The extract was then concentrated <strong>using</strong> a<br />

rotary evaporator. A sample of extract at concentration of 100<br />

mg/ml was bioassayed as described in bioassay section.<br />

Methanolic extracts were also obtained as described by<br />

Bahraminejad et al. (2006). Briefly, 5 g ground sample was<br />

extracted with 100 ml methanol for 24 h by shaking on an orbital<br />

shaker at 300 rpm. Then 30 ml distilled water was added to 70 ml of<br />

the methanolic extract and lipids were removed with 100 ml nhexane<br />

mixed at 250 rpm for 2 h. Methanolic phase was<br />

concentrated <strong>using</strong> a rotary evaporator. Finally, the residues were<br />

dissolved in 45% methanol in distilled water and a sample of extract<br />

at a concentration of 100 mg/ml for bioassay was provided.<br />

Bioassay<br />

Fungal bioassay was performed as previously described<br />

(Bahraminejad et al., 2008) <strong>using</strong> the paper disc method to reveal<br />

any inhibitory effect of plant crude extracts. Each autoclaved filter<br />

paper disc (6 mm diameter) was loaded with 5 × 10 µL of the crude<br />

extract (equal to 5 mg/disc). The discs were dried between each<br />

application. Negative control discs were prepared with 5 × 10 µL of<br />

the appropriate solvent, sterile water or 45% methanol. Positive<br />

control discs at concentration of 1 mg/disc were prepared with<br />

mancozeb, carboxin thiram and benomyl against C. sativus, R.<br />

solani and F. oxysporum, respectively. Loaded paper discs were<br />

placed on the growth medium about 10 mm <strong>from</strong> the margin of the<br />

growing mycelia. Five millimeter in diameter plug of each fungus<br />

was transferred to potato dextrose agar (PDA) media and incubated<br />

at 25°C in the dark until mycelia reach to approximately 25 mm<br />

<strong>from</strong> the edge of the plate. After addition of the paper discs the<br />

plates were further incubated at 25°C and radius zone of inhibition<br />

(distance between the centre of the paper disc and margin of<br />

inhibited mycelia <strong>from</strong> three different directions) was recorded.<br />

Each plate was examined for any inhibitory effect every 2 h for fastgrowing<br />

fungus, R. solani and every 6 h for the other fungi. Four<br />

replicates plates were prepared for all extracts and controls and the<br />

experiment repeated twice.<br />

RESULTS<br />

Antifungal activities of the extracts are presented in Table<br />

1. Of the 63 species tested, 21 (33%) showed activity<br />

against at least one tested fungi. 16 of 63 plant species<br />

screened (25%) measurably inhibited the mycelial growth<br />

of R. solani, with the most active extracts being <strong>from</strong> the<br />

following (in order for decreasing effect): Centaurea<br />

behen, Xanthium strumarium (Figure 1a), Vaccaria<br />

pyramidata, Glycyrrhiza glabra, Oliveria decumbens,<br />

Sisymbrium sp., Avena sativa and Ferulago angulata,<br />

Extracts of 10 plants (16%) inhibited the growth of F.<br />

oxysporum, with the extracts of Lavandula sp., G. glabra,<br />

Anagallis arvensis (Figure 1b) and A. sativa giving the<br />

most marked activity. 16 of the extracts (25%) exhibited<br />

activity against C. sativus with the greatest response <strong>from</strong><br />

extracts of Tribulus terrestris, Sorghum halepense, X.<br />

strumarium, G. Glabra (Figure 1c), V. pyramidata, A.<br />

arvensis (Figure 1d) and C. behen. For two of the fungi,<br />

R. solani and C. sativus, some plant extracts at<br />

concentration of 5 mg/disc gave similar inhibition to the<br />

fungicides applied at concentration of 1 mg/disc. Extracts<br />

of C. behen, X. strumarium, V. pyramidata, G. glabra, O.<br />

decumbens, Sisymbrium sp., A. sativa and F. angulata<br />

showed similar or even more inhibitory effect than<br />

carboxin thiram when tested against R. solani. Extracts of<br />

T. terrestris, S. halepense, X. strumarium and G. Glabra,<br />

inhibited the growth of C. sativus similar to mancozeb.


Figure 1. Inhibitory effect of plant extracts (5 mg/paper disc) of different<br />

plant pathogenic fungi on potato dextrose agar: a) Xanthium strumarium<br />

against Rhizoctonia solani, b) Anagallis arvensis against Fusarium<br />

oxysporum, c) Anagallis arvensis against Cochliobolus sativus, and d)<br />

Glycyrrhiza glabra against Cochliobolus sativus.<br />

None of the extracts showed inhibition similar to benomyl<br />

when tested against F. oxysporum (Tables 1 and 2).<br />

Data presented in Table 1 showed that the extracts of<br />

G. glabra, R. officinalis, A. sativa, V. pyramidata, C.<br />

behen, A. arvensis and T. terrestris exhibited broadspectrum<br />

antifungal activity, inhibiting all three fungi. In<br />

this research, two different solvents were used to elicit<br />

the antifungal compounds in plant species. The results of<br />

radius inhibition zone (Table 1) which may correlate to<br />

quality and quantity of antifungal compounds indicated<br />

that antifungal compounds in the most of the plant<br />

species with anti-Rhizoctonia, anti-Fusarium, and anti-<br />

Cochliobolus activity were extracted by methanol.<br />

DISCUSSION<br />

Results indicate the presence of antifungal compounds in<br />

the different extracts (Table 1), which was in agreement<br />

with the results reported by other researchers on different<br />

pathogens (Qasem and Abu-blan, 1996; Wuben et al.,<br />

1996; Bahraminejad et al., 2008; Kostova and Dinchev,<br />

2005). The broad spectra of inhibitory effect of G. glabra,<br />

R. officinalis, A. sativa, V. pyramidata, C. behen, A.<br />

arvensis and T. terrestris indicated that these extracts are<br />

potent antifungal plants with possible potential for the<br />

Bahraminejad et al. 16195<br />

control of different fungal diseases in plants. Therefore,<br />

more research on the activity of them against the other<br />

plant pathogenic fungi would be of value. The broad<br />

antimicrobial activity of the plant species was shown to<br />

be related to the presence of saponins, alkaloids and<br />

tannins (Ndukwe et al., 2005). The antifungal activity of<br />

A. sativa and T. terrestris probably may be due to<br />

presence of saponins in their content (Crombie and<br />

Crombie, 1986; Wuben et al., 1996; Bahraminejad et al.,<br />

2008; Kostova and Dinchev, 2005). The strong activity of<br />

R. officinalis as a broad active plant in this study was also<br />

documented by Aye and Matsumoto (2011).<br />

Furthermore, screening indicated that few numbers<br />

(16%) of studied plant species showed anti-Fusarium<br />

activity when compared to the other two fungi and all of<br />

the active extracts revealed less inhibitory effect than<br />

benomyl, thus indicating that this fungus shows more<br />

resistance to plant extracts. This kind of resistance in the<br />

fungus was previously discussed by Agrios (2005) who<br />

stated that Fusarium is a soil-inhabitant fungus and can<br />

adopt itself to lower level of toxic material. This may be<br />

the reason why we could not find plant extract with<br />

activity higher than benomyl. It has also been found that<br />

the methanolic extract of L. officinalis is the most active<br />

plant extract against F. oxysporum. This result was<br />

therefore in agreement with previous study showing the


16196 Afr. J. Biotechnol.<br />

Table 1. In vitro screening for antifungal activity (mean ± standard error, n = 4) of plant extracts at 5 mg/paper disc. Each mean was calculated<br />

<strong>from</strong> four replicates.<br />

Plant Family<br />

Part<br />

used<br />

Ixiolirion tataricum Hall (Pall.) Amaryllidaceae Total<br />

Artedia squamata L. Apiaceae Total<br />

Bupleurum kurdicum Boiss. Apiaceae Total<br />

Ferulago angulata Boiss. Apiaceae Flower<br />

Johrenia aromatica Rech.f. Apiaceae Shoot<br />

Oliveria decumbens Vent. Apiaceae Total<br />

Prangos ferulacea Lindl. Apiaceae Shoot<br />

Torilis sp. Apiaceae Total<br />

Carduus arabicus Jacq. Asteraceae Shoot<br />

Centaurea behen L. Asteraceae Total<br />

Crupina crupinastrum Vis. Asteraceae Total<br />

Cynara scolymus L. Asteraceae Fruit<br />

Echinops ritrodes Bunge Asteraceae Shoot<br />

Gundelia tournefortii L. Asteraceae Total<br />

Silybum marianum (L.) Gaertn. Asteraceae<br />

Leaf+<br />

root<br />

Taraxacum sp. Asteraceae Shoot<br />

Xanthium strumarium L. Asteraceae Shoot<br />

Alyssum strigosum Soland Brassicaceae Total<br />

Conringia orientalis L. Brassicaceae Total<br />

Solvent Rhizoctonia<br />

Plant Pathogen<br />

Fusarium Cochliobolus<br />

solani oxysporum sativus<br />

W NI NI NI<br />

M 9.53 ± 0.3* NI 7.00 ± 0.5<br />

W NI NI NI<br />

M NI NI NI<br />

W 7.96 ± 0.3 WI WI<br />

M NI WI 7.00 ± 0.1<br />

W NI NI NI<br />

M 10.90 ± 0.6 NI 7.67 ± 0.9<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M 11.37 ± 0.6 NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI WI WI<br />

M WI NI NI<br />

W NI NI WI<br />

M NI NI NI<br />

W 9.67 ± 0.4 6.25 ± 0.8 7.75 ± 0.3<br />

M 15.25 ± 0.3 6.67 ± 0.6 9.29 ± 0.5<br />

W WI NI WI<br />

M WI NI NI<br />

W NI NI WI<br />

M WI NI 7.29 ± 0.5<br />

W NI NI NI<br />

M WI NI NI<br />

W NI NI NI<br />

M WI NI NI<br />

W NI NI ND<br />

M NI NI ND<br />

W WI NI WI<br />

M WI NI WI<br />

W WI WI WI<br />

M 12.58 ± 0.9 WI 13.46 ± 0.4<br />

W NI NI NI<br />

M WI NI NI<br />

W NI NI NI<br />

M WI NI NI


Table 1 cont.<br />

Goldbachia laevigata DC. Brassicaceae Total<br />

Isatis lusitanica L. Brassicaceae Total<br />

Matthiola arabica Boiss. Brassicaceae Total<br />

Nasturtium officinale W.T.Aiton Brassicaceae Total<br />

Neslia apiculata Fisch., C.A.Mey.<br />

& Avé-Lall.<br />

Brassicaceae Total<br />

Sameraria stylophora Boiss. Brassicaceae Total<br />

Sisymbrium sp. Brassicaceae Total<br />

Gypsophylla sp. Caryophyllaceae Shoot<br />

Vaccaria pyramidata Medik. Caryophyllaceae Total<br />

Capparis spinosa L. Capparidaceae Shoot<br />

Chrozophora tinctoria A. Juss. Euphorbiaceae Shoot<br />

Pisum sativum L. Fabaceae Total<br />

Glycyrrhiza glabra L. Fabaceae Shoot<br />

Scorpiurus muricatus L. Fabaceae Total<br />

Muscari neglectum Guss. ex Ten Hyacinthaceae Total<br />

Lallemantia sp. Lamiaceae Total<br />

Lamium amplexicaule L. Lamiaceae Total<br />

Lavandula officinalis Caix Lamiaceae Shoot<br />

Rosmarinus officinalis L. Lamiaceae Shoot<br />

Salvia sclarea L. Lamiaceae Shoot<br />

Bahraminejad et al. 16197<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI 6.00 ± 0.4<br />

M NI WI NI<br />

W NI NI NI<br />

M WI NI WI<br />

W NI WI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M WI NI NI<br />

W NI NI NI<br />

M 11.33 ± 0.7 NI WI<br />

W NI NI NI<br />

M NI NI NI<br />

W 10.29 ± 0.3 6.25 ± 0.3 10.75 ± 0.5<br />

M 12.21 ± 0.9 WI 10.92 ± 0.3<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M NI AMI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W 11.88 ± 0.1 7.83 ± 0.4 WI<br />

M 11.75 ± 0.1 10.83 ± 1 12.54 ± 0.1<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M 5.00 ± 0.3 NI NI<br />

W NI NI NI<br />

M NI NI WI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M 6.34 ± 0.3 10.87 ± 0.5 NI<br />

W NI NI NI<br />

M 6.58 ± 0.2 9.00 ± 0.2 6.67 ± 0.5<br />

W NI NI NI<br />

M NI 6.54 ± 0.6 NI


16198 Afr. J. Biotechnol.<br />

Table 1 cont.<br />

Thymus kotschyanus Boiss. &<br />

Hohen.<br />

Lamiaceae Shoot<br />

Stachys lavandulifolia Vahl Lamiaceae Shoot<br />

Salvia multicalus Vahl. Lamiaceae Shoot<br />

Stachys inflate Benth Lamiaceae Shoot<br />

Gagea sp. Liliaceae Total<br />

Abutilon theophrasti Medik. Malvaceae Total<br />

Hibiscus trionum L. Malvaceae Shoot<br />

Olea europaea L. Oleaceae<br />

Fruit<br />

Leaf +<br />

Stem<br />

W NI NI NI<br />

M NI WI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W WI NI NI<br />

M WI NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M WI NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M ND ND ND<br />

W NI NI NI<br />

M NI NI WI<br />

Orobanche alba Rchb. Orobanchaceae Total<br />

W<br />

M<br />

NI<br />

NI<br />

NI<br />

NI<br />

NI<br />

NI<br />

Shoot W 11.13 ± 0.4 9.05 ± 0.5 NI<br />

M 10.54 ± 0.3 NI NI<br />

Avena sativa L. Poaceae<br />

Root<br />

W<br />

M<br />

NI<br />

6.63 ± 0.4<br />

NI<br />

8.21 ± 0.4<br />

NI<br />

6.09 ± 0.3<br />

Echinochloa crus-galli L. Poaceae Total<br />

Sorghum halepense (L.) Pers Poaceae<br />

Shoot<br />

Rhizome<br />

Root<br />

Phalaris sp. Poaceae Total<br />

Portulaca oleraceae L. Portulacaceae Shoot<br />

Anagallis arvensis L. Primulaceae Total<br />

Callipeltis cucullaria (L.) DC. Rubiaceae Total<br />

Haplophyllum perforatum (MB.)<br />

Kar. and Kir.<br />

Rutaceae Total<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M NI NI 6.42 ± 0.7<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M NI NI 13.96 ± 1<br />

W WI WI NI<br />

M NI NI WI<br />

W NI NI NI<br />

M WI WI NI<br />

W WI WI WI<br />

M 9.03 ± 0.3 9.3 ± 0.5 9.61 ± 0.9<br />

W NI NI NI<br />

M NI WI WI<br />

W NI NI 7.00 ± 0.4<br />

M 9.23 ± 0.5 WI 11.29 ± 0.6


Table 1 cont.<br />

Scrophularia striata Boiss. Scrophulariaceae Shoot<br />

Linaria chalepensis (L) . Mill. Scrophulariaceae Total<br />

Scrophularia striata Boiss. Scrophulariaceae Total<br />

Veronica anagallis-aquatica L. Scrophulariaceae Total<br />

Datura stramonium L. Solanaceae<br />

Shoot<br />

Root<br />

Hyoscyamus reticalatus L. Solanaceae Total<br />

Valerianella sp. Valerianaceae Total<br />

Tribulus terrestris L. Zygophyllaceae<br />

Shoot<br />

Root<br />

Bahraminejad et al. 16199<br />

W WI NI NI<br />

M NI 5.75 ± 0.4 9.58 ± 0.3<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M WI NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI NI<br />

M NI NI NI<br />

W NI NI WI<br />

M WI NI WI<br />

W WI NI NI<br />

M NI NI NI<br />

W 8.13 ± 0.4 6.65 ± 0.4 8.67 ± 0.2<br />

M 9.04 ± 0.1 NI 4.75 ± 0.3<br />

W 8.92 ± 0.7 NI 12.17 ± 0.1<br />

M 6.24 ± 0.3 NI 17.63 ± 0.1<br />

*Mean of radius inhibition zone (mm) ± standard error; W, water; M, methanol; NI, no inhibition; WI, weak inhibition; AMI, Aerial mycelium<br />

inhibited; ND, not done.<br />

Table 2. Inhibitory effect of fungicides used as positive controls (mean ± standard error, n = 6) at 1 mg/ disc.<br />

Fungicide<br />

Plant Pathogen<br />

Rhizoctonia solani Fusarium oxysporum Cochliobolus sativus<br />

Mancozeb - - 12.22 ± 0.8<br />

Carboxin thiram 10.44 ± 0.4 - -<br />

Benomyl - 25.22 ± 0.5 -<br />

antifungal effect of L. officinalis against mycelial growth of<br />

F. oxysporum (Pawar and Thaker, 2007). In this study, X.<br />

strumarium with common name cocklebur (Asteraceae)<br />

also showed significant anti-R. solani and anti-C. sativus<br />

properties. The ant-Phytophthora drechsleri properties of<br />

cocklebur have been previously reported (Kim et al.,<br />

2002; Koko, 2007; Yanar et al., 2011). Kim et al. (2002)<br />

extracted and purified an anti-P. drechsleri compound<br />

<strong>from</strong> X. strumarium. This compound was identified as a<br />

sesquiterpene lactone called deacetyl xanthumin. The<br />

results of the present work confirmed the presence of<br />

toxic substances of X. strumarium shown in previous


16200 Afr. J. Biotechnol.<br />

study.<br />

In this study, three of the seven plant species in<br />

Apiaceae, two of the eight plant species in Asteraceae,<br />

two of the nine plant species in Brassicaceae, three of<br />

the nine tested plant species in Lamiceae and three of<br />

four plant species in Poaceae showed antifungal activity.<br />

Although, the number of tested plant species in each<br />

family was not in high frequency, it can be concluded that<br />

inhibitory effect is not family dependent. This finding is in<br />

agreement with the results reported by Qasem and Abu-<br />

Blan (1996) on some other pathogens. However, the<br />

taxonomic distribution for phytoalexin production was well<br />

reviewed by Grayer (1994) and is not in agreement with<br />

the results of our study. He reported a high frequency of<br />

plant species of Fabaceae and low frequency of<br />

Rosaceae with antimicrobial activity. Differences in the<br />

toxicity of the extracts could be due to their solubility in<br />

water and methanol and results might be influenced by<br />

the solubility of the active substances in the solvent with<br />

higher solubility of the most active plant extracts in the<br />

water or methanol. Therefore, it can be concluded that<br />

different plants need different extracting solvent. The<br />

finding of this study supported the observation of Eloff<br />

(1998) who ranked extractants based on their ability to<br />

solubilize antimicrobial compounds <strong>from</strong> plants,<br />

biohazards and ease of removal of solvents <strong>from</strong><br />

fractions. Eloff ranked methanol in second to methylene<br />

dichloride and superior to ethanol and water. However,<br />

application of the other solvents could be useful to extract<br />

more toxic metabolites <strong>from</strong> the plants reported in this<br />

work.<br />

As Chitwood (2002) stated, the results of these kind of<br />

research could help to develop new natural fungicide,<br />

chemically synthesized derivatives or to grow the plants<br />

with antifungal activity in a crop rotation program. These<br />

results will also help to find out the active metabolites in<br />

active plants and subsequently used in reverse genetic<br />

engineering <strong>from</strong> metabolites to genes. Regarding the<br />

allelopathic properties of oats (Avena sativa), oat can be<br />

grown in a crop rotation program to suppress and break<br />

the cycle of soil-borne plant pathogenic fungi (Schrickel,<br />

1986). Therefore, oat as a known crop plant in Iran could<br />

help to reduce the severity of soil borne diseases in<br />

wheat farms. These results and the acceptable<br />

percentage of the plants with antifungal activity (33% in<br />

this research) indicated that the flora in the west of Iran<br />

can be regarded as a rich source of plants with antifungal<br />

activity. These findings encouraged us to continue<br />

screening more plant species for antifungal agents.<br />

The results of this study may form the basis of further<br />

investigation on fractionation for finding active fractions,<br />

the effect of origin of growth on the quality and quantity of<br />

active compounds, the amount of bioactive compounds in<br />

different plant parts and finally in vivo application of the<br />

extracts. Therefore, further investigations are being<br />

conducted on X. strumarium, A. arvensis, and T.<br />

terrestris as they showed more durability of inhibition and<br />

wide range of effects against different fungi.<br />

REFERENCES<br />

Agrios G M (2005). Plant Pathology. 5th ed. <strong>Academic</strong> Press, New<br />

York, NY.<br />

Aye SS, Matsumoto M (2011). Effect of some plant extracts on<br />

Rhizoctonia spp. and Sclerotium hydrophilum. J. Med. Plant Res.<br />

5(16): 3751-3757<br />

Bahraminejad S, Asenntorfer R E, Riley IT, Schultz CJ (2008). Analysis<br />

of the antimicrobial activity of flavonoids and saponins isolated <strong>from</strong><br />

the shoots oats (Avena sativa L.). J. Phytopathol. 156:1-7.<br />

Bahraminejad S, Asenntorfer RE, Riley IT, Zwer P, Schultz CJ, Schmidt<br />

O (2006). Genetic variation of flavonoid defense compound<br />

concentration in oat (Avena sativa L.) entries and testing of their<br />

biological activity. Proc Australasian Plant Breeding Conference,<br />

Christchurch, New Zealand 18-21 May 2006.pp. 1127-1132.<br />

Chitwood DJ (2002). Phytochemical based strategies for nematode<br />

control. Annu. Rev. Phytopathol. 40:221-49<br />

Crombie WML, Crombie L (1986) Distribution of avenacins A-1, A-2, B-<br />

1 and B-2 in oat Avena sativa roots their fungicidal activity towards<br />

take-all fungus Gaeumannomyces graminis. Phytochemistry, 25:<br />

2069-2074.<br />

Crombie WML, Crombie L, Green JB, Lucas JA (1986) Pathogenicity of<br />

take-all fungus to oat: its relationship to the concentration and<br />

detoxification of the four avenacins. Phytochemistry, 25: 2075-2083.<br />

Duke SO, Baerson AR, Dayan FE, Rimando AM, Scheffler BE, Tellez<br />

MR, Wedge DE, Schrader KK, Akey DH, Arthur FH, DeLucca AJ,<br />

Gibson DM, Harrison HF, Peterson JK, Gealy DR, Tworkoski T,<br />

Wilson CL, Morris JB (2003). United States department of<br />

Agriculture-Agricultural Research Service Research on natural<br />

products for pest management. Pest Manag. Sci. 59: 708-717<br />

Eloff, JN (1998). Which extractant should be used for the screening and<br />

isolation of antimicrobial components <strong>from</strong> plants? J.<br />

Ethnopharmacol. 60:1-8<br />

Fazly B B S, Haririzadeh G, Imami SA, Rashed MH (1997). Survey of<br />

Iranian plants for alkaloids, flavonoids, saponins, and tannins<br />

[Khorasan Province]. Int. J. Pharmacogn. 35 (1): 17-30<br />

Fazly B BS, Haririzadeh G (2003). Screening of Iranian plants for<br />

antimicrobial activity. Pharm. Biol. 41 (8): 573-583<br />

Grayer RJ, Harborne JB (1994).A survey of antifungal compounds <strong>from</strong><br />

higher plants. Phytochemistry, 37(1):19-42<br />

Gullino ML, Leroux P, Smith CM (2000). Uses and Challenges of novel<br />

compounds for plant disease control. Crop Prot. 19:1-11<br />

Kagale S, Marimuthu T, Thayumanavan B, Nandakumar R,<br />

Samiyappan R (2004). Antimicrobial activity and Induction of<br />

systemic resistance in rice by leaf extract of Datura metel against<br />

Rhizoctonia solani and Xanthomonas oryzae pv. Oryzae. Physiol.<br />

Mol. Plant P. 65:91-100<br />

Kim DK, Shim CK, Bae DW, Kawk YS, Yang MS, Kim HK (2002).<br />

Identification and biological characteristics of an antifungal compound<br />

extracted <strong>from</strong> cocklebur (Xanthium strumarium) against<br />

Phythopthora drechsleri. Plant Pathol. J. 18: 5, 288-292.<br />

Koko WS (2007). Antimalarial activity of Xanthium brasilicum Vell. In<br />

vitro and toxicological approaches. Nat. Prod. 15: 1-10.<br />

Kostova I, Dinchev D (2005). Saponins in Tribulus terrestris– chemistry<br />

and bioactivity. Phytochem. Rev. 4: 111-137<br />

Ndukwe Kc, Okeke In, Lamikanra A, Adesina Sk, Aboderin O (2005).<br />

Antibacterial activity of aqueous extracts of selected chewing sticks.<br />

J.Contemp.Dent Pract. 6 (3): 86-94<br />

Oerke EC, Dehne HW, Schonbeck F, Weber A (1994). Crop protection<br />

and crop production. Elsevier, Amsterdam, 808 pp.<br />

Pawar VC, Thaker VS (2007). Evaluation of the anti-Fusarium<br />

oxysporum f.sp cicer and anti-Alternaria porri effects of some<br />

medicinal essential oils. World J. Microbiol. Biotechnol. 23:1099-<br />

1106.<br />

Qasem JR, Abu-Blan HA (1996). Fugicidal activity od some common<br />

weed extracts against different plant pathogen fungi. J. Phytopathol.<br />

144: 157-161.<br />

Rai M, Carpinella M (2006). Naturally Occurring Bioactive compounds.<br />

Elsevier, Amsterdam : 502.<br />

Sardari S, Amin G, Micetich GR, Daneshtalab M (1998).<br />

Phytopharmaceuticals. Part 1. Antifungal activity selected Iranian and<br />

Canadian plants. Pharm. Biol. 36 (3): 180-188.


Schrickel DJ (1986). Oats production, value and use. Pages 1-11 in:<br />

Oats:Chemistry and Technology. F. H. Webster, ed. American<br />

Association of Cereal Chemists, St. Paul, MN.<br />

Shahidi Bonjar GH, Aghighi S, Karimi Nik A (2004). Antibacterial and<br />

antifungal survey in plants used in indigenous herbal-medicine of<br />

south east regions of Iran. J. Biol. Sci. 4(3): 405-412.<br />

Bahraminejad et al. 16201<br />

Yanar Y, Kadio I, Gökçe A, Demirta I, Gören N, Çam H, Whalon M<br />

(2011). In vitro antifungal activities of 26 plant extracts on mycelial<br />

growth of Phytophthora infestans (Mont.) de Bary. Afr. J. Biotechnol.<br />

10(14): 2625-2629.


African Journal of Biotechnology Vol. 10(72), pp. 16202-16208, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1406<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Effects of different photoperiods and concentrations of<br />

phosphate on the growth of the cyanobacterium<br />

Cylindrospermopsis raciborskii (Woloszynska)<br />

Sabahi asl Mitra , Nejatkhah Parisa 1 , Ramezanpour Zohreh 2 , Heidary Negin 1<br />

1 Islamic Azad University, North Tehran Branch, Faculty of Marine Science and Technology, Marine Biology Group,<br />

Tehran, Iran.<br />

2 International Sturgeon Research Institute, P.O Box: 41635-3464, Rasht, Iran.<br />

Accepted 5 October, 2011<br />

The freshwater cyanobacterium, Cylindrospermopsis raciborskii is potentially toxic and widely<br />

distributed in tropical and sub-tropical regions. This species is highly abundant throughout the Anzali<br />

Lagoon during the months of July and August. The effects of four different photoperiods (L/D 12:12,<br />

10:14, 14:10, 8:16) as well as three different concentrations of phosphate (2 fold, 3 fold and half of the<br />

main culture) on growth rates of C. raciborskii were studied. C. raciborskii, isolated <strong>from</strong> water samples<br />

collected <strong>from</strong> the Anzali Lagoon, was cultured in Zehnder 8 media (<strong>using</strong> Z8 without a nitrogen source)<br />

under light intensity of 3000 Lux at 252°C. A control group cultured with the main culture medium was<br />

also used. This experiment was carried out for 25 days. Inoculants and C. raciborskii cells were counted<br />

every other day throughout the experiment period <strong>using</strong> a Neubauer chamber and specific growth rates<br />

(SGR) and cell division rates (G) were estimated. The maximum growth rate (8x10 6 ± 5 cells ml -1 ) was<br />

observed at 12 L:12 D photoperiod followed by 14 L:10 D, 10 L:14 D and 8 L:16 D. The results obtained<br />

in the present study especially with 14 L:10 D and 12 L:12 D were in complete agreement with general<br />

growth pattern of C. raciborskii observed in warmer months with rather longer daytime in tropical and<br />

subtropical areas. The maximum growth rates were observed in the group treated with 2 fold PO4<br />

concentration. The strategy of growth in this species may depend on nitrogen fixation, when other<br />

algae were nitrogen limited and fast PO4 uptake even if very low concentration is available.<br />

Key words: Cyanobacteria, Cylindrospermopsis raciborskii, Anzali Lagoon, photoperiod, phosphate, growth<br />

rate.<br />

INTRODUCTION<br />

Dehiscence of Cyanobacteria produces dangerous<br />

poisons in native water which leads to serious problems<br />

worldwide. Besides, loss of many species in lakes, rivers,<br />

estuaries, oceans and storage water systems are among<br />

the crucial effects of this phenomenon (Wilson et al.,<br />

1999). Physiological capacities of Cyanobacteria are<br />

highly dominant in competence with other phytoplankton<br />

species (Duval et al., 2005). Cylindrospermopsis<br />

*Corresponding author. E-mail: Mitra.sabahi2@gmail.com.<br />

Abbreviations: SGR, Specific growth rates; ANOVA, one-way<br />

analysis of variance.<br />

raciborskii belongs to Nostocaceae family and<br />

Oscillatoriales order <strong>from</strong> Cyanobacteria.<br />

C. raciborskii (Woloszynska, 1972) is kind of<br />

Cyanobacteria which can produce poison. C. raciborskii<br />

is identified by the presence of gas vacuoles and by the<br />

shape and dimensions of terminal heterocysts, vegetation<br />

cells and trichomes (Wilson et al., 1999). In this species,<br />

one or two heterocysts are observable at both ends of the<br />

trichome as a candle flame (Figure 1). Akinetes are<br />

normally oval form placed inactively near heterocysts and<br />

include spherical cells. Note that growth cell walls are<br />

covered by nuclear cells, including clear gas vacuoles<br />

(Hawkins et al., 1985). Recent studies have explored that<br />

this species has a permanent effect on mice and also<br />

infect and destroy liver tissue. Note t hat the produced


Figure 1.Cylindrospermopsis raciborskii sampled <strong>from</strong> Anzali Lagoon (x400).<br />

poison damage kidneys, adrenal glands, lungs and<br />

intestines. Probably, this complication occurs in humans<br />

and other mammalian (Hawkins et al., 1985). There are<br />

various factors that affect upon the combination and<br />

succession of phytoplankton and cyanobacteria including<br />

light, temperature, concentration of nutritional material,<br />

simulative and preventive material which influence upon<br />

growth and elective feeding (Ahelgern, 1977).<br />

Blooms of cyanobacteria threaten aquatic life. The<br />

cyanobacter C.raciborskii blooms lead to animal fatalities<br />

and human poisoning in various countries such as<br />

Iceland, 1999, Florida, 1997, Japan, 1999, Africa, 2004,<br />

and Australia, 1998-2001(Chapman and Schelske, 1997;<br />

Zakaria and Al-Shehri, 2004). In tropical regions, the<br />

algae growth is the same in all months of the year<br />

because of uniform environmental conditions. However,<br />

in temperate zones, seasonal change cause physicchemical<br />

changes and thus, in some months, high growth<br />

of blue-green algae creates blooms in water (Bernard et<br />

al., 2004). Many different researchers reported about<br />

daily periodical influence of light and darkness upon<br />

phytoplankton and freshwater species like Oscillatoria<br />

agardhii. These reports state the importance of light<br />

intensity and quality on the occurrence of phenomena in<br />

lakes and sea. Though, according to Foy et al. (1993),<br />

light duration is an effective factor on the growth of<br />

phytoplankton that has different effects upon every<br />

species of algae. Phosphate plays a basic role on growth<br />

in all plants. Thus, decline in phosphate during the growth<br />

season is a limiting factor for algal growth. Also,<br />

phosphate is critical element in controlling the growth of<br />

cyanobacteria. This study attempts to investigate the<br />

influence different phosphate concentrations (2 fold, 3<br />

fold and half of the main culture) on growth of C.<br />

raciborskii and estimate the optimum growth conditions in<br />

different photoperiods (L/D 12:12, 10:14, 14:10, 8:16).<br />

MATERIALS AND METHODS<br />

Mitra et al. 16203<br />

Sampling <strong>from</strong> the Anzali Lagoon was carried out in the month of<br />

August of 2007 <strong>using</strong> plankton net (25 μm).Isolation and<br />

preparation of pure cultures of algae was carried out at the Ecology<br />

Department of the international Sturgeon Research Institute. The<br />

algal cells were cultured in Z8 medium (without nitrogen resources)<br />

(Kotai, 1972). All treatments were run in three replicates.<br />

Four different photoperiods (8 L:16 D, 14 L:10 D, 12 L:12 D, and 10<br />

L:14 D) were considered. To examine the influence of different<br />

concentrations of phosphate (PO4), three various treatments were<br />

studied <strong>using</strong> 6.2 gl -1 (two-fold), 9.3 gl -1 (three-fold) and 1.53 gl -1<br />

(half the amount of Z8 batch culture) (without nitrogen resources). A<br />

control group 3.1 gl -1 of Z8 (main culture) was also used. One<br />

milliliter of pure culture cells were inoculated to each treatment<br />

<strong>using</strong> a syringe pipette. The cellular concentration after injection at<br />

t0 time for each replicate was 10 4 cells ml -1 . Finally, cultivated tubes<br />

were placed in culture shelves for 25 days. The culture room<br />

temperature was adjusted to 25±2°C. Sample counting was<br />

performed daily and three repetitions were done for every sample<br />

by Neubauer chambers. SGR (µ) and G were calculated by the<br />

equations (Fogg and Thake, 1987):<br />

µ=lnx1-lnx0 (t1-t0).<br />

G=ln2µ1<br />

Where, X0 is the mean cellular number at t0 time; X1 is the mean<br />

cellular number at t1 time; µ is the specific growth rate (d -1 ); G is the<br />

generation time (d)<br />

Data analysis was performed by one-way analysis of<br />

variance (ANOVA) and Duncan’s separator test associated with<br />

Excel (2003) and SPSS (16.0) statistical software.<br />

RESULTS<br />

Result of different photoperiods<br />

Statistical analysis of different photoperiods results show<br />

significant differences on algal growth (Figure 2).


16204 Afr. J. Biotechnol.<br />

Average cell number per ml<br />

100000000<br />

10000000<br />

1000000<br />

100000<br />

1 3 5 7 9 11 13 15 17 19 21 23<br />

Day<br />

Figure 2. Mean cell number of Cylindrospermopsis raciborskii under different photoperiods.<br />

Photoperiods 12 L:12 D and 14 L:10 D with mean cell<br />

numbers 8×10 6 ± 5cells ml -1 and 7×10 6 ± 4 cells ml -1 ,<br />

respectively were higher than the other two<br />

treatments(P0.05) were detected for generation time of cellular<br />

division in day in the different groups studied.<br />

DISCUSSION<br />

In this study, the cells used in different treatments were<br />

selected <strong>from</strong> stationary phase of pure culture cells. Such<br />

cells reached to ultimate growth phase in initial<br />

environment and practically, they would be lost if were<br />

not transferred to new environment similar to their<br />

common conditions. Growth was observed after three<br />

days lag in all treatments (Figures 2 and 5). Lag (delay)<br />

time in phytoplankton response to suitable growth can<br />

influence bloom of phytoplankton in natural environments<br />

and experimental culture (Smith et al., 1992). Examination<br />

of lag time in initial growth of different treatments<br />

indicated that light does not influence upon lag phase.<br />

However, existence of lag time in growth phase is highly<br />

attributed to the age of pure culture cells (Fogg and Take,<br />

1987).<br />

According to obtained results, there is delay in duration<br />

of growth phase. In treatments under 10 L:14 D


Growth rate d -1<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0<br />

12:12 10:14 8:16 14:10<br />

Photoperiod<br />

Figure 3. Growth rate of Cylindrospermopsis raciborskii under different photoperiods (±SE)<br />

G (d)<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

12:12 10:14 8:16 14:10<br />

photoperiod<br />

Figure 4. Generation of cellular division of Cylindrospermopsis raciborskii under different<br />

photoperiods (±SE)<br />

photoperiod, delay in growth phase probably depends on<br />

young pure culture cells. With an increase in light time<br />

duration, the cellular concentration increases, whereas<br />

under this kind of light the growth rate is minimum as<br />

compared to that in other treatments. Also generation<br />

time of cellular division is short with increasing<br />

photoperiod. Hence, highest cellular division was<br />

recorded in treatments under 14 L:10 D and 12 L:12 D<br />

photoperiod.<br />

Mitra et al. 16205<br />

Increasing growth rates (µ) with increasing photoperiod<br />

was also observed. The influence of different<br />

photoperiods upon growth of C.raciborskii algae was<br />

studied by Shafik et al. (2001) and found that under 12<br />

L:12 D photoperiod, highest growth rates recorded were<br />

between (0.8 d -1 ) and (1 d -1 ). They also reported that<br />

photoperiods longer than 12 L:12 D reduced growth.<br />

These results are in agreement with those obtained <strong>from</strong><br />

this study where reduced growth rates (µ) were recorded


16206 Afr. J. Biotechnol.<br />

Average cell number per ml<br />

10000000<br />

1000000<br />

100000<br />

1 3 5 7 9 11 13 15 17 19 21 23 25<br />

Day<br />

Figure 5. Mean cell numbers of Cylindrospermopsis raciborskii in different concentrations of phosphate<br />

Growth rate d -1<br />

/<br />

0.3<br />

0.25<br />

0.2<br />

0.15<br />

0.1<br />

0.05<br />

0<br />

1.53 3.1 6.2 9.3<br />

Phosphate concentration(g/l)<br />

Figure 6. Growth rates of Cylindrospermopsis raciborskii in different concentration of<br />

phosphate (±SE).<br />

under the 14 L:10 D photoperiod. Continuous and high<br />

photoperiods such as 14 L:10 D, stimulate bio-production<br />

of Tillacoied and biosynthesis of chlorophyll in cells<br />

(Ibrahim, 1993). Increased synthesis of chlorophyll leads<br />

to increased photosynthesis and consequently results in<br />

increased production of photosynthesis in cell.<br />

If exposed to continuous light, there will not be enough<br />

time for consumption of these products. Investigations<br />

demonstrated that accumulation of materials obtained<br />

<strong>from</strong> photosynthesis such as glucose and carbohydrates<br />

can reduce photosynthesis intensity (Ibrahim, 1995).<br />

Thus, reducing photosynthesis will decrease cellular<br />

growth efficiency. In longer photoperiods, despite high<br />

cellular division speed and high cellular concentration,<br />

the cellular growth rate (µ) was low as compared to other<br />

3.1g/l<br />

6.2g/l<br />

9.3g/l<br />

1.53g/l<br />

photoperiods. On the other hand, shorter day length<br />

decreased growth rates of cyanobacteria and diatoms,<br />

and this decrease was greater in cyanobacteria (Foy and<br />

Gibson, 1993).<br />

Foy and Gibson (1993) observed that in comparison of<br />

cyanobacteria with Diatoms, there is severe reduction in<br />

growth process that resulted <strong>from</strong> photoperiod reduction.<br />

On this basis, minimum cellular concentration<br />

(accumulation) as well as SGR was observed in photo<br />

duration 8 L:16 D.<br />

Growth of most freshwater phytoplankton is regulated<br />

by the availability of phosphate Rhee (1980) and<br />

Thompson et al. (1994) suggested that under P limitation<br />

conditions, the growth is related to the P cell quota due<br />

mostly to a large storage capacity for P by these


G (d)<br />

0.45<br />

0.4<br />

0.35<br />

0.3<br />

0.25<br />

0.2<br />

0.15<br />

0.1<br />

1.53 3.1 6.2 9.3<br />

Phosphate concentration (gl -1 )<br />

Figure 7. Generation of cellular division of Cylidrospermopsis raciborskii in different<br />

concentrations of phosphate (±SE)<br />

organisms. Phosphate storage in cyanoprokaryotes<br />

appears to be much larger than other species, and this<br />

capacity was reported to give them a competitive<br />

advantage over diatoms and chlorophytes (Shafink et al.,<br />

2001). Highest mean cellular concentration recorded in<br />

the control group and in the group exposed to 6.2 gl -1<br />

phosphate indicates that limitation of phosphate even<br />

under desirable photo conditions reduces the rate of<br />

cellular chlorophyll, growth and photochemical capacity<br />

(Cullen and Maclnyre, 1998).<br />

Therefore, reducing or increasing the amount of<br />

phosphate in the environment resulted in the reduction of<br />

cellular division and cyanobacteria population. Desirable<br />

levels of phosphate in the culture environment and also<br />

increasing cellular division in this treatment could be the<br />

possible reason for increase in growth rate in the control<br />

group. Since cyanobacteria have high ability for<br />

absorption of phosphate even in case of the scarcity,<br />

reduction of environmental phosphate reduces<br />

photosynthesis rate and the effect of this reduced<br />

photosynthesis on cellular division and increased cellular<br />

division was significant. In the treatments exposed to<br />

(1.53 gl -1 ) phosphate, it appears that low concentration<br />

of phosphate in the initial stages of culture does not<br />

create limitation for growth process. Hence, cells absorb<br />

phosphate quickly and grow rapidly, however, as culture<br />

progresses further reduction in phosphate results in<br />

decreased cellular division and as well as reduction in<br />

mean cellular number.<br />

Previous investigations have demonstrated the<br />

relationship between phosphate intake and photoperiod.<br />

This explains increased cyanobactria growth during long<br />

days of the year (Litchman, 2003). It is evident <strong>from</strong> the<br />

results of the present study that in different treatments<br />

studied; C. raciborskii was compatible with photoperiod<br />

Mitra et al. 16207<br />

changes and different amounts of phosphate. Otherwise<br />

these algae would have to face a lot of problems in its<br />

natural life environment. In all treatments used in this<br />

study, cellular division and growth increase was observed.<br />

Ecological conditions are various ways<br />

which allow growth and dehiscence to occur in both<br />

tropical and sub-tropical regions. Tang and Vincent<br />

(2000) showed that growth and photosynthesis of pole<br />

cyanobacteria during day time depend on temperature.<br />

Finally, it was found that the growth of C. racibroskii<br />

algae is influenced by photo duration. The specific<br />

physiological traits possessed by this species explain its<br />

global distribution in various geographical regions. Three<br />

hypothesis may be considered in this regard; (1)<br />

colonies of this species are compatible with temperate<br />

climate and it may be suitable for advancement in the<br />

north latitude, (2) this species has wide range of<br />

tolerance <strong>from</strong> physiological perspective, (3) Climate<br />

changes resulting <strong>from</strong> global warming has resulted in<br />

greater dispersion and spreading of this species<br />

(Bernard and Dufour, 2004).<br />

This kind of cyanobacteria has high potential in storing<br />

phosphate and also it can be grown in various tropical<br />

lakes. Increased growth of C. raciborskii species in<br />

France-bech pool in France has been reported because<br />

of its compatibility and wide tolerance towards undissolved<br />

materials (Bernard and Dufour, 2004). On the<br />

other hand, Moisandr et al. (2002) reported that high<br />

salinity in estuary of Neuse Lake prevented the<br />

dominance of C. raciborskii species in that region.<br />

Reports about global dispersion of these algae indicate<br />

that C. raciborskii has high compatible ability and can<br />

also enter mid geographical latitudes. However, a global<br />

analysis of these results suggests that C. raciborskii has<br />

good adaptability, but poor ability to compete with micro


16208 Afr. J. Biotechnol.<br />

algae. This adaptability was demonstrated by the fact<br />

that C. raciborskii, which is described as a tropical<br />

cyanobacteria, is able to grow under different light and<br />

temperature conditions. In addition, C. raciborskii seems<br />

to be very tolerant of nutrient concentrations (Briand et<br />

al., 2001). This study probably shows that the growth<br />

strategy of cyanobacteria is under the effect of three<br />

factors: (1) Nitrogen fixation ability intermediate to<br />

existence of heterocysts when other algae groups face<br />

reduction in nitrate, (2) Ability of high phosphate<br />

absorption even when the amount of phosphate is low,<br />

(3) Growth ability lies in low light conditions and high<br />

temperature (Shafink et al., 2001). Thus, reduction and<br />

increasing of phosphate concentration in the<br />

environment is important as a preventive factor of<br />

growth. Eventually, it must be mentioned that colonies of<br />

C.raciborskii are different <strong>from</strong> the physiological and<br />

genetic perspectives. Hence, it must be emphasized that<br />

results <strong>from</strong> other studies indicate that special colony<br />

have considerable compatibility and other colonies show<br />

different behavior in this conditions.<br />

ACKNOWLEDGEMENTS<br />

The authors wish to appreciate Mr. Parandavar, the<br />

Head of the Ecology Department as well as Mrs. Marjan<br />

Sadeghi and Uma Arshad of the Hydrology laboratory for<br />

their valuable assistance in executing this investigation.<br />

Authors also want to show their gratitude to Mr. Hamid<br />

Reza Pourali, the Head of Nutrition Section of the<br />

International Sturgeon Research Institute.<br />

REFERENCES<br />

Ahlegern G (1977). Growth of Oscillatoria agardhii in chemostate<br />

culture nitrogen and phosphorus reqirement. Oikos, 29: 209-224.<br />

Bernard C, Dufour PH (2004). Cylindrospermopsis raciborskii<br />

(Cyanobacteria) invasion at mid-latitudes: Selection, wide<br />

physiological tolerance, Phycol. Soc. Am. 40: 231-238.<br />

Briand JF, Robillot C, Quiblier-Lloberas C, Humbert JF (2001).<br />

Environmental context of Cylindrospermopsis raciborskii<br />

(Cyanobacteria) blooms in a shallow pond in france. Water Res.<br />

36(2002): 3183-3192.<br />

Chapman AD, Schelske CL (1997). Recent appearance of<br />

Cylindros-permopsis (Cyanobacteria) in five hypertrophic Florida<br />

Lakes. J. Phycol. 33: 191-195.<br />

Cullen JJ, Maclntyer JG (1998). Behavior,physiology and the niche of<br />

depth_regulating Phytoplankton in : Physiol. Ecol. Harmful Algal<br />

Blooms, (ed . DM Andrerson,AD Cembella , GM Hallegraff).<br />

Springer. Berlin. 41: 559-579.<br />

Duval E, Gragnon B, Varliner D (2005). Effects of two<br />

cyanotoxins,Microcystin-LR and Cylindrospermopsin,on Euglena<br />

gracilis, Earth. Environ. Sci. pp. 659-671.<br />

Fogg GE, Thake B (1987). Algal culture and phytoplankton ecology (3 rd<br />

edition), the University of Wisconsin press.<br />

Foy RH, Gibson CE (1993). The influence of irradiance photoperiod<br />

and temperature on thegrowth kinetics of three planktonic diatims.<br />

E. J. Phycol. 28: 203-212.<br />

Hawkins PR, Runngar MTC, Gackson ARB (1985). Several<br />

hepatotoxicity caused by the tropical, cyanobacterium<br />

Cylindrospermopsis raciborskii. Dept. Bot. James Cook University,<br />

Queensland 4811, Australia.<br />

Ibrahim ZH (1993). Photosynthesis: Botanic Physiology, Tehran<br />

University Publication. 4: p. 690.<br />

Ibrahim ZH (1995). Metabolism: Botanic Physiology, Tehran University<br />

Publication. 3: p. 514.<br />

Kotai J (1972).Instruction for preparation of modified nutrient solution<br />

Z8 for algae. Publication B-Norwegian institute for water research,<br />

Blindern, Oslo. 5: 11-69.<br />

Litchman E (2003). photosynthetic and growth responses of three<br />

freshwater algae to phosphorus limitation and day length,<br />

Limnological Research. Centre, EAWAG, kastanienbaum,<br />

Switzerland. 48: 2141-2148.<br />

Moisander PH, McClinton E, Paerl, HW (2002). Salinity effects on<br />

growth, photosynthetic parameters, and nitrogenase activity in<br />

estuarine planktonic cynobacteia. microb. Ecol. 43: 432-442.<br />

Rhee GY (1980). Continuous culture in phytoplankton ecology. in<br />

Droop MR, Janasch HW (Eds). Adv. Aquat. Microbiol. 2: 151-203.<br />

Shafik M, Herodek S, Presing M, Voros L (2001). Factors effecting<br />

growth and cell composition of cyanoprokaryote Cylindrospermopsis<br />

raciborskii. Algological Studies, 103: 75-93.<br />

Smith GJ, Zammerman RC, Alberte R (1992). Molecular and<br />

physiological responses of diatoms to variable levels of Irradiance<br />

and nitrogen availability growth of costatumin simulated up welling<br />

conditions., limnol. Oceanogr. 37(5): 989-107.<br />

Tang EPY, Vincent WF (2000). Effects of daylength and temperature<br />

on the growth and photosynthesis of an Arctic Cyanobacterium,<br />

Schizothrix calcicola (Oscillatoriaceae), J. Phycol. 35: 263-272.<br />

Thompson PA, Hee-mock OH, Ree GY (1994).Storage of phosphorus<br />

in nitrogen-fixing Anabaena flos-quae (Cyanophyceae). J. Phycol.<br />

30: 267-273.<br />

Wilson K, Mark SM, Baker P (1999). Molecular characterization of the<br />

toxic Cyanobacterium Cylindrospermopsis raciborskii and Design of<br />

a Species-Specific PCR. The Cooperative Research center for<br />

Water Quality and Treatment, Australian Water Quality Center. SA<br />

Water Corporation, Australia.<br />

Zakaria A, Al-Shehri MAM (2004). Cyanobacteria and their toxins in<br />

treated-water storage reservoirs in Abha city, Saudi Arabia.Dept.<br />

Biol. Sci. Faculty Sci. King Khalid University, Saudi Arabia.


African Journal of Biotechnology Vol. 10(72), pp. 16209-16218, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2027<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Uptake of cadmium <strong>from</strong> hydroponic solutions by<br />

willows (Salix spp.) seedlings<br />

Yongqing Liu 1,2 , Guang-Cai Chen 2 *, Jianfeng Zhang 2 , Xiang Shi 2 and Renmin Wang 1 *<br />

1 College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310029, Zhejiang, China.<br />

2 Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang 311400, Zhejiang, China.<br />

Accepted 12 October, 2011<br />

Willow (Salix sp.) has large biomass production and high resistance to environmental stress. As an<br />

important multipurpose tree species in afforestation, it has been proved to be effective in the uptake<br />

and accumulation of metals <strong>from</strong> contaminated waters and soils. Suliu172 (Salix × jiangsuensis 'J172'),<br />

Hanliu (Salix matsudana), Weishanhu (Salix integra 'Weishanhu') and Yizhibi (S. integra 'Yizhibi') were<br />

chosen as model plants to evaluate their potential for uptake of cadmium <strong>from</strong> hydroponic culture and<br />

relative uptake mechanism. Cadmium uptake showed a linear increase in the short time course, and a<br />

nonlinear and slow increase in the long time course. After one week cultivation, cadmium accumulation<br />

in different parts of willows generally followed the order of root > stem > leaf. Cadmium influx in willow<br />

roots increased with the increase of cadmium concentration in hydroponic solutions. A modified<br />

Michaelis-Menten equation was employed to describe the concentration-dependent kinetics of cadmium<br />

uptake through the roots. Cadmium influx could be resolved into linear and saturable components<br />

under concentration–dependent kinetics. The saturable component followed Michaelis–Menten kinetics,<br />

which indicated that cadmium uptake across the plasma membrane was transporter–mediated. The<br />

uptake capacity (Vmax/Km) jointly decided by the Vmax and Km followed descending order of Hanliu ><br />

Weishanhu ≈ Yizhibi > Suliu172, indicating that their inherent potential of cadmium uptake reduced in<br />

turn. Low temperature and metabolic inhibitor inhibited the apparent uptake of cadmium in willow. Both<br />

active absorption and passive absorption occurred in the cadmium uptake by willow roots.<br />

Key words: Cadmium, willow, uptake kinetics.<br />

INTRODUCTION<br />

With the rapid development of mining, smelting, electroplating<br />

industries and agricultural activities such as the<br />

application of fertilizers and pesticides, cadmium pollution<br />

has become a severe and growing problem of concern<br />

(Taylor, 1997; Waalkes, 2000). Due to its harmful effects,<br />

the World Health Organization (WHO) has set a<br />

maximum limit concentration of 0.003 mg/L for cadmium<br />

in drinking water (WHO, 2008). Cadmium is a toxic metal<br />

without any known physiological function in plants and<br />

can be transferred efficiently <strong>from</strong> soil to plants. Cadmium<br />

in plant disrupts antioxidant enzyme system and causes<br />

metabolite modifications (Zhao, 2011; Zoghlami et al.,<br />

2011). Moreover, special consideration should be paid<br />

*Corresponding author. E-mail: guangcaichen@sohu.com. Tel:<br />

+86 571 63105079. Fax: +86-571-63341304.<br />

to cadmium pollution in water-soil-plant systems because<br />

of its high mobility and low toxic concentrations in<br />

organisms (Moreno et al., 2000). Cadmium may pose a<br />

risk to human and animal health due to the transfer of a<br />

high level of cadmium <strong>from</strong> agricultural soils or aquatic<br />

system to the human food chain (Jackson and Alloway,<br />

1992). Therefore, cadmium is one of the most important<br />

metals to be considered in terms of food-chain<br />

contamination.<br />

Phytoremediation is a promising approach for in situ<br />

cleanup of contaminated sites. However, choosing a<br />

plant species that can remove metal ions <strong>from</strong><br />

contaminated soil or water depends on three variables in<br />

the practice: plant growth, biomass and metal levels<br />

(Williams, 2002). Willow is an important multipurpose tree<br />

species in afforestation, which shows high resistance to<br />

salt and alkali, drought and water logging stress, and can<br />

grow well in all kinds of waters and soils. Willow has large


16210 Afr. J. Biotechnol.<br />

biomass production and is not directly associated with the<br />

food chain, which qualifies it for removing the soil<br />

pollutants gradually through short-rotation cultivation and<br />

harvesting periodically (Jaconette et al., 2005). Willow<br />

has remarkable capacity to concentrate elements including<br />

toxic heavy metals (Greger and Landberg, 1999;<br />

Dickinson and Pulford, 2005), especially cadmium<br />

(Berndes et al., 2004; Meers et al., 2007). Willow also<br />

has deep root system compared to grasses which can act<br />

as biological filter. These traits make it a potential ideal<br />

candidate for phytoremediation of cadmium contaminated<br />

waters and soils. Dickinson and Pulford, (2005) also<br />

reported that willow is a hyperaccumulator, and extracting<br />

cadmium with willow is an effective and low-cost<br />

phytoremediation method. Hence, it is necessary to<br />

understand the cadmium accumulation mechanism in<br />

order to assess the potential.<br />

Many researchers have focus on growth performance<br />

and cadmium uptake by willow adopting soil culture or<br />

field experiments, while kinetics of cadmium uptake by<br />

willow are rarely investigated. Willow’s cadmium uptake<br />

characteristics can be assessed rapidly <strong>using</strong> hydroponics<br />

or nutrient solutions culture (Watson et al., 2003).<br />

Furthermore, willow has high resistance to water logging<br />

stress, a primary evaluation of its phytoremediation ability<br />

towards water pollution by cadmium. The objective of this<br />

study was to examine whether willow is able to<br />

accumulate cadmium <strong>from</strong> hydroponic solutions. Hence,<br />

accumulation and uptake kinetics of cadmium by<br />

Suliu172 (Salix × jiangsuensis 'J172'), Hanliu (Salix<br />

matsudana), Weishanhu (Salix integra 'Weishanhu') and<br />

Yizhibi (S. integra 'Yizhibi') were investigated. The roles<br />

of bivalent cations, cation channel inhibitor (La and Cs),<br />

low temperature and metabolic inhibitor in the uptake of<br />

cadmium by Yizhibi and Suliu172 were also studied.<br />

MATERIALS AND METHODS<br />

Plant culture and pre-treatments<br />

Four species of willows, Suliu172 (Salix × jiangsuensis 'J172'),<br />

Hanliu (S. matsudana), Weishanhu (S.alix integra 'Weishanhu') and<br />

Yizhibi (S. integra 'Yizhibi'), were collected <strong>from</strong> a nursery in<br />

Hangzhou, Zhejiang Province, China. Culture vessel was a 40 × 20<br />

× 15 cm plastic box. One year old willow branches collected <strong>from</strong><br />

the nursery were cut into about 10 cm length, then uniform and<br />

healthy cuttings were selected and cultivated in the basal nutrient<br />

solution containing (mg/L): KNO3, 510; Ca(NO3)2, 820;<br />

MgSO4·7H2O, 490; KH2PO4, 136; FeSO4, 0.6; H3BO3, 2.86;<br />

MnCl2·4H2O, 1.81; ZnSO4·7H2O, 0.22; (NH4)Mo7O24, 0.45; EDTA,<br />

0.744; CuSO4·5H2O, 0.08. The nutrient solution was aerated<br />

continuously and renewed every seven days. Nutrient solution pH<br />

was adjusted daily to 5.8 with 0.1 mol/L NaOH or HCl. Plants were<br />

grown under glasshouse conditions with natural light, day/night<br />

temperature of 26/20°C and day/night humidity of 70/85%. After four<br />

weeks of cultivation, the heights of willows seedlings were 0.8 to 1.5<br />

m high depending on different species, which were the applicable<br />

size for this study.<br />

Willow plants with uniform size for each species were selected<br />

and rinsed in deionized water, and then treated with a pre-treatment<br />

solution containing 2 mmol/L MES-TRIS (pH 5.8) and 0.5 mmol/L<br />

CaCl2 (Lasat et al., 1996). After 12 h pre-treatment, the plants were<br />

used for different experiments as subsequently described. All the<br />

experiments were carried out in vessels filled with an uptake<br />

solution identical to the pre-treatment solution. Cadmium was<br />

added as CdCl2·2.5H2O into the uptake solution 24 h before each<br />

experiment and stirred to ensure complete mixing. Before uptake<br />

experiment, 1 ml of uptake solution was collected and cadmium<br />

content was measured.<br />

Time-course dynamics of cadmium uptake and accumulation<br />

Willow roots were immersed in 400 ml uptake solution containing 2<br />

mmol/L MES-TRIS (pH 5.8), 0.5 mmol/L CaCl2, and 10 μM/L CdCl2,<br />

at each time interval (0 to 90 min for short term, and 2 to 72 h for<br />

long term time course experiments, respectively), willow was<br />

harvested and desorbed in ice-cold desorption solutions (2<br />

mmol/LMES-TRIS, and 5 mmol/L CaCl2, pH 5.8) for 15 min in order<br />

to remove most of the cadmium adsorbed on cell walls of roots<br />

(Lasat et al., 1996). After desorption, the plants were separated<br />

roots <strong>from</strong> shoots, the roots and shoots were oven-dried at 65°C for<br />

72 h, and weighed. Dried plant materials were ground <strong>using</strong> a mill.<br />

Plant materials were digested with HNO3/HClO4 (87/13, v/v) and the<br />

total concentrations of cadmium were determined <strong>using</strong> flame or<br />

graphite atomic absorption spectrometry (SOLAAR–M6, Thermo<br />

Fisher Scientific). For the long-term experiments, uptake solution<br />

was replaced every 8 h to keep the concentrations of cadmium in<br />

the uptake solutions unchanged. All treatments were performed in<br />

three replicates with two willow plants in each pot.<br />

Cadmium accumulation in roots, stems and leaves<br />

Four plants each were planted in 10 L plastic box containing 10 L<br />

solutions with low concentration (2 μmol/L CdCl2) and high<br />

concentration (100 μmol/L CdCl2) of cadmium for one week. The<br />

uptake solutions were replaced every two days. All treatments were<br />

performed in three replicates with four willow plants in each 10 L<br />

plastic box. After one week growth, willows were harvested and<br />

desorbed for 15 min, separated into roots, stems and leaves, and<br />

then oven-dried at 65°C for 72 h. Dried plant materials were ground<br />

and digested, and cadmium concentrations were determined <strong>using</strong><br />

flame or graphite atomic absorption spectrometry.<br />

Concentration-dependent kinetics of cadmium uptake<br />

Willow was transferred to hydroponic pots containing 400 ml of<br />

uptake solution. Ten different concentrations of cadmium (0.25, 0.5,<br />

1, 2, 5, 10, 15, 30, 50 and 100 μmol/L) were used to study the influx<br />

kinetics of cadmium, and each treatment was replicated three times<br />

and each replicate had one pot with two willow plants. After 60 min<br />

of uptake, the plants were quickly rinsed with the pretreatment<br />

solution, and then desorbed in ice-cold desorption solutions (2<br />

mmol/LMES-TRIS, and 5 mmol/L CaCl2, pH 5.8) for 15 min. The<br />

plants were separated into roots and shoots, blotted dry with paper<br />

tissue, and dried at 65°C for 72 h. Cadmium concentrations were<br />

determined as previously described.<br />

Effects of Zn, Mg, Mn, Fe, Cu, La and Cs on cadmium influx<br />

To investigate the effects of metal cations and cation channel<br />

inhibitors on cadmium uptake, the experiment was conducted <strong>using</strong><br />

Suliu172 and Yizhibi as model plants. The uptake solutions<br />

containing (μmol/L) 10 CdCl2, 10 CdCl2 +10 ZnCl2, 10 CdCl2 + 10<br />

MgCl2, 10 CdCl2 + 10 MnCl2, 10 CdCl2 + 10 FeCl2, 10 CdCl2 + 10


CuCl2 and 10 CdCl2 + 50 LaCl3, and 10 CdCl2 + 50 CsCl,<br />

respectively, were used. After 4 h of uptake, the willow plant roots<br />

were desorbed as previously described and then the roots and<br />

shoots were separated, oven-dried at 65°C for 72 h, and weighed<br />

for the determination of cadmium. All experiments were in three<br />

replicates for each treatment and each replicate had one pot with<br />

two willow plants.<br />

Effects of low temperature or metabolic inhibitors on cadmium<br />

uptake<br />

Plants were cultured in the uptake solution containing 2 mmol/L<br />

MES-TRIS (pH 5.8), 0.5 mmol/L CaCl2, and 10 mol/L CdCl2 for<br />

different treatments: control, 2,4-dinitrophenol (DNP) (100 mol/L),<br />

and 2°C. For the 2°C treatment, plants were transferred to ice-cold<br />

pre-treatment solution for 30 min prior to the uptake, and then the<br />

uptake containers were placed in an ice bath and shaded <strong>from</strong> light.<br />

At each time interval (0.5, 1, 2, 4, 8, 16 and 24 h), water loss<br />

caused by transpiration was measured by weighing and<br />

compensated by addition of deionized water. A 2.0 ml aliquot of the<br />

uptake solution was taken out <strong>from</strong> each pot for the determination<br />

of cadmium concentrations, and 2.0 ml of deionized water was then<br />

added to each pot. Total amounts of cadmium removed by<br />

sampling of the uptake solution were < 2% of the initial amounts of<br />

cadmium in each pot. After 24 h of treatment, plants were rinsed,<br />

separated into roots and shoots, blotted dry with tissue paper, then<br />

oven-dried and weighed. Cumulative uptake of cadmium by willows<br />

for each treatment was calculated <strong>from</strong> total cumulative depletion of<br />

cadmium in the uptake solution. All treatments were performed in<br />

three replicates with two willow plants in each pot.<br />

Statistical analysis<br />

All statistical analyses (ANOVA and LSD test for mean<br />

comparisons) were conducted with SPSS 16.0. Differences at p <<br />

0.05 were considered significant. Independent-samples T-tests<br />

were adopted to compare the metal cations treatments with control.<br />

RESULTS AND DISCUSSION<br />

Time–course dynamics of cadmium uptake and<br />

accumulation<br />

The uptake time is one of the most important factors<br />

affecting the uptake of heavy metals by plants. Uptake<br />

solutions of 10 μmol/L cadmium were chosen to study the<br />

short-term and long-term cadmium influx for four willow<br />

species, as willow could retain normal growth under the<br />

concentration of cadmium at 10 μmol/L in solution. The<br />

short- and long-term uptake periods were defined as 5 to<br />

90 min and 2 to 72 h, respectively (Figures 1 and 2).<br />

Figure 1 shows that the influx of cadmium in roots of<br />

willow was more or less linear within 90 min. The<br />

observation that linear, time-dependent cadmium<br />

accumulation intersected the y-axis above the origin in<br />

four willow species indicated that quite an amount of<br />

cadmium was not completely removed <strong>from</strong> roots with the<br />

desorption regime used in these experiments (Lu et al.,<br />

2008). The slope of Suliu172 with the value of 0.006<br />

μmol/g root dry weight/min was the lowest among the<br />

Liu et al. 16211<br />

four cultivars. The slope k values of Hanliu, Yizhibi and<br />

Weishanhu showed no significant differences, which<br />

implied that the influx rates of the three willow species<br />

were almost alike during the short-term period within 90<br />

min. Moreover, after 90 min uptake, the cadmium<br />

concentration in the roots of Hanliu, Yizhibi and<br />

Weishanhu exhibited similar value, about 1.6 μmol/g root<br />

dry weight (DW), while Suliu172 was the lowest with the<br />

value of 1.1 μmol/g root dry weight.<br />

Furthermore, Figure 2 shows that the cadmium uptake<br />

gradually increased with increasing uptake time of 2 to 72<br />

h. After 72 h of uptake, the four willow species showed a<br />

significant difference in the cadmium uptake and<br />

accumulation (Figure 2). Also, after 72 h uptake of<br />

cadmium, the total cadmium accumulated in Hanliu was<br />

the highest (9.3 μmol/g root DW). The total cadmium<br />

accumulated in Suliu172 and Weishanhu were found to<br />

be 6.4 and 6.1 μmol/g root DW, respectively; and the total<br />

cadmium accumulated in Yizhibi was the lowest (5.2<br />

μmol/g root DW). The uptake rate became slower for all<br />

species at about 4 h for Hanliu and Weishanhu, while at<br />

about 8 h for Yizhibi and Suliu172. After the slower<br />

uptake rate period, they however returned to a high<br />

uptake rate.<br />

Cadmium accumulation in roots, stems and leaves<br />

The results of cadmium accumulation in willow roots,<br />

stems and leaves are given in Table 1. Cadmium content<br />

in different parts generally followed the order of root ><br />

stem > leaf. The result suggests that cadmium was<br />

mainly accumulated in willow roots. Cadmium content in<br />

roots showed a descending order of Hanliu > Suliu172 ><br />

Yizhibi > Weishanhu, which varied <strong>from</strong> 1.011 to 1.310<br />

μmol/g (2 μmol/L) and <strong>from</strong> 4.535 to 5.432 μmol/g (100<br />

μmol/L). Cadmium content in stems were not significantly<br />

different among the four willow species at solution of<br />

cadmium concentration of 2 μmol/L, while Suliu172 was<br />

significantly higher than Hanliu, Weishanhu and Yizhibi at<br />

100 μmol/L. Cadmium content in willow leaves of<br />

Suliu172 and Yizhibi were significantly higher than<br />

Weishanhu and Hanliu at 2 and 100 μmol/L.<br />

Willows have been shown to be promising for cadmium<br />

phytoextraction. Utmazian et al. (2007) reported that the<br />

cadmium concentrations in leaves varied between 11.9<br />

and 315 mg/kg (0.156 and 2.802 μmol/g), and the<br />

corresponding cadmium concentrations in roots between<br />

237 and 2610 mg/kg (2.108 and 23.219 μmol/g) among<br />

20 willow clones when they were exposed in 4.45 μmol/L<br />

cadmium solutions for four weeks. Cosio et al. (2006)<br />

reported that cadmium content were 39 mg/kg (0.347<br />

μmol/g) in leaves and 313 mg/kg (2.784 μmol/g) in roots<br />

at 3 μmol/L nutrient, which increased to 260 mg/kg (2.313<br />

μmol/g) in leaves and 798 mg/kg (7.099 μmol/g) in roots<br />

at 100 μmol/L for S. viminalis cultivated within six weeks<br />

in uptake solutions. Compared to the aforementioned


16212 Afr. J. Biotechnol.<br />

Total Cd influx(μmol g root DW -1 )<br />

Total Cd influx(μmol g root DW -1 )<br />

2.0<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

0 20 40 60 80 100<br />

2.0<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

C<br />

A<br />

Time(min)<br />

0.0<br />

0 20 40 60 80 100<br />

Time(min)<br />

R=0.986<br />

k=0.012<br />

R=0.975<br />

k=0.014<br />

Total Cd influx(μmol g root DW -1 )<br />

Total Cd influx(μmol g root DW -1 )<br />

2.0<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

0 20 40 60 80<br />

2.0<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

D<br />

B<br />

Time(min)<br />

R=0.997<br />

k=0.006<br />

0.0<br />

0 20 40 60 80<br />

Time(min)<br />

Figure 1. Short-term (5-90 min) cadmium influx of Yizhibi (A), Suliu172 (B), Hanliu (C) and Weishanhu (D). Data points and error bars<br />

represent means and SE, respectively. Error bars do not extend outside some symbols. DW, dry weight.<br />

results, cadmium accumulations of the four species in<br />

this experiment were relatively lower in general, which<br />

can be attributed to the shorter uptake time and different<br />

willow species. The variability in both cadmium accumulation<br />

and tolerance specificity exists between willow<br />

species (Hakmaoui et al., 2006; Utmazian et al., 2007).<br />

Concentration–dependent kinetics of cadmium<br />

uptake<br />

Figure 3 shows that the concentration-dependent<br />

cadmium influx kinetics of four willow species was<br />

characterized by smooth, non-saturating curves. The<br />

experimental curves could be graphically resolved into<br />

saturable and linear components by a modified Michaelis-<br />

Menten kinetics model:<br />

V = Vmax[C] / (Km + [C]) + k[C]<br />

Where, Vmax is the maximum influx rate of plant root cells,<br />

reflecting the inherent potential of uptake by plant roots<br />

(higher Vmax value indicates a higher inherent potential);<br />

Km is the characteristic constant which shows the<br />

relationship between plant cells and the elements<br />

R=0.990<br />

k=0.014<br />

absorption; a small Km indicates high affinity. The linear<br />

component represents cell-wall-bound cadmium that<br />

remained after desorption procedure. The saturable<br />

component of uptake probably indicates carrier-mediated<br />

transport across the root cell plasma membranes. Similar<br />

concentration-dependent kinetics has been reported for<br />

Zn (Lasat et al., 1996; Cohen et al., 1998; Hart et al.,<br />

1998; Lombi et al., 2001).<br />

Analysis of the kinetic constants for cadmium uptake<br />

indicated that influx characteristics were different (Table<br />

2). The Vmax values of the four willow species varied<br />

between 2.31 to 11.67 μmol/g DW/h and followed the<br />

order of Hanliu > Weishanhu > Yizhibi > Suliu172, which<br />

indicated that their inherent potential of cadmium uptake<br />

reduced in turn. Uptake capacity of Hanliu was about four<br />

times that of Suliu172, and about two times that of<br />

Weishanhu and Yizhibi, while the uptake capacity of<br />

Weishanhu and Yizhibi's was similar. The Km value of the<br />

four willow species varied between 27.03 to 79.04<br />

μmol/L; the Km values of the four willow species at the<br />

same order of magnitude mean similar affinity.<br />

It is generally recognized that the uptake capacity of<br />

plants for ions <strong>from</strong> soils is also affected by the surface<br />

area and morphology of roots, rhizosphere pH, root<br />

exudates and other factors (Jones et al., 1996;


Total Cd influx(μmol g root DW -1 )<br />

Total Cd influx(μmol g root DW -1 )<br />

11<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 10 20 30 40 50 60 70 80<br />

11<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

A<br />

C<br />

Time (h)<br />

Time(h)<br />

0<br />

0 10 20 30 40 50 60 70 80<br />

Time (h) Time(h)<br />

Time (h)<br />

Total Cd influx(μmol g root DW -1 )<br />

Total Cd influx(μmol g root DW -1 )<br />

11<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

Liu et al. 16213<br />

0<br />

0 10 20 30 40 50 60 70<br />

11<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

B<br />

D<br />

Time (h)<br />

Ti me( h)<br />

0<br />

0 10 20 30 40 50 60 70<br />

Time(h)<br />

Figure 2. Long-term (2-72 h) cadmium influx of Yizhibi (A), Suliu172 (B), Hanliu (C) and Weishanhu (D). Data points and error bars repres ent<br />

means and SE, respectively. Error bars do not extend outside some symbols. DW, dry weight.<br />

Table 1. Cadmium accumulation (μmol/g) in roots, stems and leaves of the four willow species.<br />

Treatment Plant part Hanliu Weishanhu Yizhibi Suliu172<br />

Cadmium content<br />

(2 μmol/L)<br />

Cadmium content<br />

(100 μmol/L)<br />

Root 1.310 ± 0.034 a 1.011 ± 0.043 c 1.123 ± 0.004 b 1.127 ± 0.009 b<br />

Stem 0.016 ± 0.001 a 0.015 ± 0.000 ab 0.014 ± 0.000 b 0.016 ± 0.000 a<br />

Leaf 0.010 ± 0.000 b 0.012 ± 0.000 b 0.017 ± 0.001 a 0.016 ± 0.000 a<br />

Root 5.432 ± 0.105 a 4.535 ± 0.132 c 4.768 ± 0.159 bc 5.142 ± 0.203 ab<br />

Stem 0.799 ± 0.028 b 0.860 ± 0.020 b 0.846 ± 0.021 b 0.972 ± 0.015 a<br />

Leaf 0.019 ± 0.001 b 0.020 ± 0.000 b 0.026 ± 0.000 a 0.027 ± 0.001 a<br />

Different letters indicate significant differences between the means with P < 0.05 (mean ± SE).<br />

Krishnamurti et al., 1997). The accumulation of mineral<br />

elements in plants is not only related to the uptake ability<br />

of plant roots, but also affected by the transfer efficiency<br />

of mineral elements in plants (Clemens. 2006). The<br />

uptake capacity is jointly decided by the Vmax and Km,<br />

hence the Vmax/Km represents the absorption capacity of<br />

willow better. The Vmax/Km values (Table 2) indicated that<br />

the cadmium uptake capacity of willow followed Hanliu ><br />

Yizhibi > Weishanhu > Suliu172. The slopes of the linear<br />

components of Weishanhu and Yizhibi were also similar,<br />

but higher than that of Suliu172, while the slopes of the<br />

linear components of Hanliu were the lowest (Table 2).


16214 Afr. J. Biotechnol.<br />

Cd influx rate(μmol g root DW -1 h -1 )<br />

Cd influx rate(μmol g root DW -1 h -1 )<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 20 40 60 80 100<br />

C<br />

A<br />

Cd concentration(μmolL -1 )<br />

0 20 40 60 80 100<br />

Cd concentration(μmolL -1 )<br />

Cd influx rate(μmol g root DW -1 h -1 )<br />

Cd influx rate(μmol g root DW -1 h -1 )<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

B<br />

0 20 40 60 80 10<br />

D<br />

Cd concentration(μmolL -1 )<br />

0 20 40 60 80 10<br />

Cd concentration(μmolL -1 )<br />

Figure 3. Concentration-dependent cadmium influx kinetics in roots of Yizhibi (A), Suliu172 (B), Hanliu (C) and Weishanhu (D). Linear (dotted<br />

line) and saturable (open circles) components were derived <strong>from</strong> experimental data (filled circles) by mathematically resolving these curves<br />

<strong>using</strong> Origin 7.5. Data points and error bars represent means and SE, respectively. Error bars do not extend outside some symbols. DW, Dry<br />

weight.<br />

Table 2. Kinetic parameters for root cadmium influx of the four willow cultivars.<br />

Willow cultivar Vmax Km Vmax/Km k R 2<br />

Yizhibi 5.09 53.09 0.096 0.055 0.998<br />

Suliu172 2.31 27.03 0.085 0.039 0.998<br />

Hanliu 11.67 79.04 0.147 0.001 0.998<br />

Weishanhu 6.36 66.83 0.095 0.051 0.998<br />

R 2 , coefficient determination.<br />

Therefore, we could conclude that Hanliu’s cell wall had<br />

a relatively strong cadmium binding capacity, while<br />

Weishanhu and Yizhibi had similar but relatively lower<br />

capacity. The cadmium uptake ability of willows <strong>from</strong><br />

hydroponic solutions depends on different willow species,<br />

size of willow seedlings and environmental conditions.<br />

Suliu172 is an interspecific hybrid and expresses well;<br />

fast-growing. Hanliu shows high resistance to salt and<br />

alkali drought but its water logging tolerance is not good.<br />

Yizhibi and Weishanhu are cultivars of S. integra and<br />

prefer adequate illumination. Particular physiological<br />

characteristics of willow species resulted in different<br />

cadmium uptake ability. The four weeks cultivation of<br />

willow seedlings partly reflected cadmium uptake ability<br />

of the four willow species.<br />

As the first barrier of metal ions across membrane into<br />

the cytoplasm, cell wall plays an important role in the<br />

process of resistance to metal ion toxicity (Nishzono,<br />

1987). Cell level reduces metal ion toxicity of plant roots<br />

in two ways: restriction of the metal <strong>from</strong> crossing the<br />

plasma membrane and detoxification of metal ions within<br />

the cell (Macfie et al., 2000; Hall, 2002). In other words,<br />

root uptake of divalent cations typically exhibits two<br />

phases: apoplastic binding and symplastic uptake (Hart<br />

et al., 1998; Zhao et al., 2002). To analyze cadmium<br />

influx into the symplast, apoplastic binding to reactive<br />

apoplastic sites of root cells must be taken into<br />

consideration and minimized by the desorption steps.<br />

According to Zhao et al. (2002), however, complete<br />

removal of apoplastically bound cadmium by desorption,


- 1<br />

-<br />

1<br />

Cd influx (µmolg root DW -1<br />

3.5<br />

3.0<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

0.0<br />

A<br />

**<br />

**<br />

CK Zn Mg Mn Fe Cu La Cs<br />

*<br />

Cd influx (µmolg root DW -1<br />

-<br />

1 1<br />

3.5<br />

3.0<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

0.0<br />

B<br />

CK Zn Mg Mn Fe Cu La Cs<br />

Figure 4. Effects of ZnCl2, MgCl2, MnCl2, FeCl2, CuCl2, LaCl3 and CsCl on cadmium uptake by the two cultivars<br />

of willow, Yizhibi (A), and Suliu172 (B). Error bars represent SE. Means marked with * indicate significant<br />

difference between control and treatments at P


16216 Afr. J. Biotechnol.<br />

Cd influx(μmol g root DW -1 )<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0.0<br />

0 5 10 15 20 25<br />

Time(h)<br />

ice-cold<br />

DNP<br />

control<br />

Figure 5. Cumulative uptake of cadmium by Yizhibi with treatments of control<br />

(triangles), ice-cold (squares), and+100 mol/L DNP (circles), as determined <strong>from</strong> the<br />

depletion of cadmium in the uptake solution. Data points and error bars represent<br />

means and SE, respectively. Error bars do not extend outside some symbols. DW, dry<br />

weight.<br />

suggesting that cadmium uptake by willow was probably<br />

regulated by Ca transporters or channels in root cell<br />

plasma membranes. For K ion channel inhibitor Cs,<br />

however, no significant inhibition of willow cadmium<br />

uptake was observed.<br />

Effects of low temperature or metabolic inhibitors on<br />

cadmium uptake<br />

Figure 5 exhibits the results of cadmium uptake of Yizhibi<br />

under low temperature and metabolic inhibitors (2, 4-<br />

DNP). Both treatments inhibited cadmium uptake of<br />

Yizhibi, and the inhibition effect of low temperature was<br />

more significant than that of DNP's. After 24 h of<br />

treatment at low temperature, cadmium uptake decreesed<br />

by 23% compared to that of the control, while<br />

metabolism inhibitor only decreased the cadmium influx<br />

by 6% compared with the control. At cold treatment, the<br />

process of cadmium uptake by willow had two phases:<br />

within 0 to 8 h, the cadmium uptake increased linearly<br />

with increasing uptake time; when the treatment time was<br />

longer than 8 h, the uptake process reached a saturation<br />

state. When the metabolic inhibitor, 2, 4-DNP, was<br />

supplied in the solution, the uptake rate gradually<br />

reduced until it leveled off after 16 h. The results<br />

observed here suggest that 2, 4-DNP not only inhibited<br />

the cadmium absorption, but also postponed the time of<br />

uptake rate to be saturated.<br />

Active symplastic translocation would be inhibited when<br />

roots are treated under cold condition or under the<br />

presence of metabolic inhibitors. Temperature had a<br />

close relationship with uptake process regulated by<br />

metabolism. At an appropriate growth temperature, all<br />

kinds of physiological metabolisms ran normally, while<br />

under low temperature, plant's metabolism slowed down<br />

and enzyme activity decreased, then plant growth was<br />

almost at a standstill, which had a negative influence on<br />

the cadmium active uptake. Through studying the impact<br />

of low temperature on cadmium uptake of Sedum alfredii,<br />

Lu et al. (2009) discovered that uptake of cadmium was<br />

significantly inhibited by low temperature treatment (4°C)<br />

in hyperaccumulating ecotype plants. In living cells, DNP<br />

acts as a proton ionophore, an agent that can shuttle<br />

protons (hydrogen ions) across biological membranes. It<br />

defeats the proton gradient across mitochondria and<br />

chloroplast membranes, collapsing the proton motive<br />

force that the cell uses to produce most of its ATP; hence,<br />

instead of producing ATP, the energy of the proton<br />

gradient is lost as heat. Sequentially, it restrains active<br />

absorption, and because the passive absorption of plants<br />

does not need energy, metabolic inhibitors have no<br />

impact on passive absorption. Figure 5 shows that the<br />

cadmium absorption of willow had the participation of


active transport. So, we could infer that active absorption<br />

took part in cadmium uptake by willow roots.<br />

Passive transport is the diffusion of substances across<br />

a membrane. This is a spontaneous process and cellular<br />

energy is neither expended nor related to metabolism.<br />

However, active absorption process depends on the<br />

energy that is produced by respiration, and has<br />

connection with metabolic activities (Wolterbeek et al.,<br />

1988; Lu et al., 2009). Without removal of apoplastically<br />

bound cadmium by the desorption steps, cumulative<br />

uptake of cadmium by willows were calculated <strong>from</strong> total<br />

cumulative depletion of cadmium in the uptake solution in<br />

this experiment. Results reveal that cadmium uptake was<br />

only inhibited by 23% at low temperature treatment, while<br />

metabolism inhibitor only decreased the cadmium uptake<br />

influx by 6%. This illustrated two problems: first, active<br />

transport was an important way for cadmium absorption of<br />

willow, which was in accordance with conclusion of<br />

concentration-dependent kinetics experiment; secondly,<br />

root cell wall had bound a large number of cadmium, thus<br />

implying that the negative groups of cell wall had<br />

restricted cadmium ions by precipitation, adsorption and<br />

complexation in the process of passive absorption.<br />

Hence, the passive absorption was another important<br />

way to absorb cadmium for willow.<br />

Conclusion<br />

Cadmium accumulation by the four willow species<br />

increased when uptake time and initial cadmium<br />

concentration was increased. After one week cultivation,<br />

cadmium accumulation in different parts of willows<br />

generally followed the order of root > stem > leaf. Under<br />

hydroponics conditions, concentration-dependent cadmium<br />

influx could be resolved into linear and saturable<br />

components. The saturable component followed<br />

Michaelis-Menten kinetics, which indicated that cadmium<br />

uptake across the plasma membrane was transportermediated.<br />

In contrast, Hanliu had the highest cadmium<br />

uptake capacity, Weishanhu and Yizhibi had medium,<br />

while Suliu172 had the lowest. More also, time course<br />

dynamic results revealed that cadmium accumulation<br />

linearly increased during a short time course, but<br />

increased with prolong uptake time and became<br />

nonlinear, while a slow absorption rate phase were<br />

observed during a long time course.<br />

In addition, Zn and Cu decreased the cadmium uptake<br />

of Yizhibi significantly, while other cations had no<br />

significant effect. However, the cadmium influx into roots<br />

of Yizhibi was significantly suppressed by Ca channel<br />

inhibitor La, implying that Ca transporters or channels<br />

were responsible for the cadmium uptake of willow.<br />

Results also indicate that K ion channel inhibitor Cs had<br />

no obvious inhibition effect on the cadmium uptake of<br />

willow. Low temperature and metabolic inhibitor inhibited<br />

the apparent uptake of cadmium in willow via root<br />

cadmium active transport. Both active absorption and<br />

Liu et al. 16217<br />

passive absorption took part in the cadmium uptake by<br />

willow roots.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by the Research Institute of<br />

Subtropical Forestry, Chinese Academy of Forestry (RISF<br />

6803) and Jiangsu Provincial Key Scientific and<br />

Technological Project (BE2009603 and BE2008636). We<br />

sincerely thank Professor Xiao–Quan SHAN, State Key<br />

Laboratory of Environmental Chemistry and<br />

Ecotoxicology, Research Center for Eco-Environmental<br />

Sciences, Chinese Academy of Sciences, for his<br />

comments on this paper.<br />

REFERENCES<br />

Berndes G, Fredrikson F, Borjesson P (2004). Cadmium accumulation<br />

and Salix-based phytoextraction on arable land in Sweden. Agr.<br />

Ecosyst. Environ. 103: 207-223.<br />

Clemens S (2006). Toxic metal accumulation, responses to exposure<br />

and mechanisms of tolerance in plants. Biochimie, 88: 1707-1719.<br />

Cohen CK, Fox TC, Garvin DF, Kochian LV (1998). The role of irondeficiency<br />

stress responses in stimulating heavy-metal transport in<br />

plants. Plant. Physiol. 116: 1063-1072.<br />

Cosio C, Vollenweider P, Keller C (2006). Localization and effects of<br />

cadmium in leaves of a cadmium-tolerant willow (Salix viminalis L.) I.<br />

Macrolocalization and phytotoxic effects of cadmium. Environ. Exp.<br />

Bot. 58: 64-74.<br />

Dickinson NM, Pulford ID (2005). Cadmium phytoextraetion <strong>using</strong> short<br />

rotation coppice Salix: the evidence trail. Environ. Int. 31(4): 609-613.<br />

Greger M, Landberg T (1999). Use of willow in phytoextraction. Int. J.<br />

Phytoremediat. 1(2): 115-123.<br />

Gurinot ML (2000). The ZIP family of metal transporters. Biochim.<br />

Biophys. Acta. 1465: 190-198.<br />

Hakmaoui A, Baron M, Ater M (2006). Environmental Biotechnology<br />

Screening Cu and Cd tolerance in Salix species <strong>from</strong> North Morocco.<br />

Afr. J. Biotechnol. 5(13): 1299-1302.<br />

Hall JL (2002). Cellular mechanisms for heavy metal detoxificationand<br />

tolerance. J. Environ. Bot. 53: 1-11.<br />

Hart JJ, Welch RM, Norvell WA, Sullivan LA, Kochian LV (1998).<br />

Characterization of cadmium binding, uptake, and translocation in<br />

intact seedlings of bread and durum wheat cultivars. Plant Physiol.<br />

116: 1413-1420.<br />

Jackson AP, Alloway BJ (1992). The transfer of cadmium <strong>from</strong><br />

agricultural soils to the human food chain. In: Biogeochemistry of<br />

Trace Metals (Adriano DC, ed.). Lewis Publishers, Boca Raton, F L.<br />

pp. 109-158.<br />

Jaconette M, Isebrands JG, Theo V, Stig L (2005). Development of<br />

short-rotation willow coppice systems for environmental purposes in<br />

Sweden. Biomass. Bioenerg. 28(2): 219-228.<br />

Jones D, Darah P, Koehian L (1996). Critical evaluation of organic acid<br />

mediated iron dissolution in the rhizosphere and its potential role in<br />

root iron uptake. Plant. Soil, 180: 57-66.<br />

Krishamurti GSR, Cieslinski G, Huang PM, VanRees KCJ (1997).<br />

Kinetics of cadmium release <strong>from</strong> soils as influenced by organic<br />

acids: Implication in cadmium availability. J. Environ. Qual. 26: 271-<br />

277.<br />

Lasat MM, Baker AJM, Kochian LV (1996). Physiological<br />

characterization of root Zn 2+ absorption and translocation to shoots in<br />

Zn hyperaccumulator and nonaccumulator species of Thlaspi. Plant<br />

Physiol. 112: 1715-1722.<br />

Lasat MM, Pence NS, Garvin DF, Ebbs SD, Kochian LV (2000).<br />

Molecular physiology of zinc transport in the Zn hyperaccumulator<br />

Thlaspi caerulescens. J. Exp. Bot. 51: 71-79.<br />

Lombi E, Zhao FJ, McGrath SP, Young SD, Sacchi GA (2001).


16218 Afr. J. Biotechnol.<br />

Physiological evidence for a high-affinity cadmium transporter highly<br />

expressed in a Thlaspi caerulescens ecotype. New. Phytol. 149: 53-<br />

60.<br />

Lu LL, Tian SK, Yang XE, Wang XC, Brown P, Li TQ, Zhen LH (2008).<br />

Enhanced root-to-shoot translocation of cadmium in the<br />

hyperaccumulating ecotype of Sedum alfredii. J. Exp. Bot. 59(11):<br />

3203-3213.<br />

Macfie SM, Welbourn PM (2000). The cell wall as a barrier to uptake of<br />

metal ions in the unicellular green alga Chlamydomonas reinhardtii<br />

(Chlorophyceae). Arch. Environ. Con. Tox. 39: 413-419.<br />

Meers E, Vandecasteele B, Ruttens A, Vangronsveld J, Tack FMG<br />

(2007). Potential of five willow species (Salix spp.) for phytoextraction<br />

of heavy metals. Environ. Exp. Bot. 60: 57-68.<br />

Moreno CJ, Moral R, Perez EA, Perez MD (2000). Cadmium<br />

accumulation and distribution in cucumber plant. J. Plant. Nutr. 23:<br />

243-250.<br />

Nishzono H (1987). The role of the root cell wall in the heavy metal<br />

tolerance of Athyrium yokoscense. Plant. Soil. 101: 15-20.<br />

Pence NS, Larsen PB, Ebbs SD, Letham DLD, Lasat MM, Garvin DF,<br />

Eide D, Kochian LV (2000). The molecular physiology of heavy metal<br />

transport in the Zn/Cd hyperaccumulator Thlaspi caerulescens. Proc.<br />

Natl. Acad. Sci. USA. 97: 4956-4960.<br />

Taylor MD (1997). Accumulation of cadmium derived <strong>from</strong> fertilisers in<br />

New Zealand soils. Sci. Total. Environ. 208(1-2): 123-126.<br />

Tripathi RD, Rai UN, Gupta M, Yunus M, Chandra P (1995). Cadmium<br />

transport in submerged macrophyte Ceratophyllum demersum L. in<br />

presence of various metabolic inhibiters and calcium channel<br />

blockers. Chemosphere, 31: 3783-3791.<br />

Utmazian MND, Wieshammer G, Vega R, Wenzel WW (2007).<br />

Hydroponic screening for metal resistance and accumulation of<br />

cadmium and zinc in twenty clones of willows and poplars. Environ.<br />

Pollut. 148: 155-165<br />

Waalkes MP (2000). Cadmium carcinogenesis in review, J. Inorg.<br />

Biochem. 79: 241-244.<br />

Watson C, Pulford ID, Riddell-Black D (2003). Development of a<br />

hydroponic screening technique to assess heavy Metal resistance in<br />

willows (Salix). Int. J. Phytoremediat. 5(4): 333-349.<br />

Welch RM, Norvell WA (1999). Mechanisms of cadmium uptake,<br />

translocation and deposition in plants. In: Cadmium in soils and<br />

plants (McLaughlin, M.J., Singh, B.R., eds.). Kluwer <strong>Academic</strong><br />

Publishers, Dordrecht, pp. 125-150.<br />

WHO (2008). Guidelines for Drinking Water Quality: Recommendations,<br />

vol. 1, 3rd ed., World Health Organisation, Geneva.<br />

Williams JB (2002). Phytoremediation in wetland ecosystems: progress,<br />

problems, and potential. Crit. Rev. Plant Sci. 21: 607-635.<br />

Wolterbeek HT, Meer AVD, Bruin MD (1988). The uptake and<br />

distribution of cadmium in tomato plants as affected by<br />

ethylenediaminetetraacetic acid and 2, 4-dinitrophenol. Environ.<br />

Pollut. 55(4): 301-315.<br />

Zhao FJ, Hamon RE, Lombi E, McLaughlin MJ, McGrath SP (2002).<br />

Characteristics of cadmium uptake in two contrasting ecotypes of the<br />

hyperaccumulator Thlaspi caerulescens. J. Exp. Bot. 53: 535-543.<br />

Zhao FJ, Jiang RF, Dunham SJ, McGrath SP (2006). Cadmium uptake,<br />

translocation and tolerance in the hyperaccumulator Arabidopsis<br />

halleri. New Phytol. 172: 646-654.<br />

Zhao Y (2011). Cadmium accumulation and antioxidative defenses in<br />

leaves of Triticum aestivum L. and Zea mays L. Afr. J. Biotechnol.<br />

10(15): 2936-2943,<br />

Zoghlami LB, Djebali W, Abbes Z, Hediji H, Maucourt M, Moing A,<br />

Brouquisse R, Chaïbi W (2011). Metabolite modifications in Solanum<br />

lycopersicum roots and leaves under cadmium stress. Afr. J.<br />

Biotechnol. 10(4): 567-579.


African Journal of Biotechnology Vol. 10(72), pp. 16219-16227, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2269<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Relationship between abscisic acid (ABA)<br />

concentration and some physiological traits in two<br />

wheat cultivars differing in post-anthesis droughtresistance<br />

Saeed Saeedipour 1 * and Foad Moradi 2<br />

1 Department of Agronomy, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran.<br />

2 Agriculture Biotechnology Research Institute, Karaj, Iran.<br />

Accepted 6 October, 2011<br />

This work investigated the effects of endogenous abscisic acid (ABA) and physiologic parameters<br />

related to yield in two wheat cultivars (Triticum aestivum L.), Marvdasht and Zagros (sensitive and<br />

tolerant to terminal season drought, respectively) grown in pots under well watered and water-stressed<br />

starting <strong>from</strong> anthesis until maturity. All physiological parameters were affected by drought stress.<br />

Results show that water deficits enhanced the senescence by accelerating loss of leaf chlorophyll and<br />

soluble proteins and the loss was more in Marvdasht than Zagros. The net CO2 assimilation rate (PN) in<br />

flag leaves during water deficit displayed a strict correlation with the drought sensitivity of the<br />

genotypes and showed an early reduction in Marvdasht. Water stress resulted in a marked increase just<br />

in the ABA content of the drought-sensitive that led to reduced transport of sucrose into the grains and<br />

lowered the starch synthesis ability of grains, whereas, sucrose uptake and conversion by grains was<br />

stimulated by low ABA concentrations in Zagros. The effect of drought on grain yield was primarily due<br />

to the significant reduction in grain weight, particularly in drought-sensitive. The results indicate that<br />

grain filling processes under water restriction are limited by low substrate availability and reduced<br />

synthesis capacity of the sink. These results raised the possibility that water stress-induced elevated<br />

levels of endogenous ABA contribute to reduced grain growth.<br />

Key words: Abscisic acid, chlorophyll, flag leaves, grain yield, soluble proteins, soluble sugar, starch, wheat<br />

(Triticum aestivum L.).<br />

INTRODUCTION<br />

Reports on drought-induced reduction in seed yield of the<br />

crop are highly variable due to differences in the timing<br />

and intensity of the stress imposed and the genotypes<br />

used (Ramirez-Vallejo and Kelly, 1998). Drought stress<br />

decreases photosynthetic rate, thereby decreasing the<br />

amount of assimilates available for export to the sink<br />

organs (Kim et al., 2000). Plants grown under drought<br />

condition have a lower stomatal conductance in order to<br />

*Corresponding author. E-mail: saeeds79@gmail.com.<br />

Abbreviations: ABA, Abscisic acid; DAA, days after-anthesis;<br />

HI, harvest index; WW, well-watered; gs, stomatal conductance.<br />

conserve water. Consequently, CO2 fixation is reduced<br />

and photosynthetic rate decreases, resulting in less<br />

assimilate production for growth and yield of plants.<br />

Severe drought stress also inhibits the photosynthesis of<br />

plants by ca<strong>using</strong> changes in chlorophyll content, by<br />

affecting chlorophyll components and by damaging the<br />

photosynthetic apparatus (IturbeOrmaetxe et al., 1998).<br />

Drought can also affect carbohydrate metabolism in<br />

plant reproductive organs (Liu et al., 2004). For example,<br />

Setter et al. (2001) found higher or at least similar levels<br />

of sucrose in maize ovaries between drought-stressed<br />

and well watered controls. These results imply that in<br />

addition to assimilate availability per se, the capacity for<br />

utilizing them in the reproductive structures may also be<br />

affected under drought stress. Thus, drought-induced


16220 Afr. J. Biotechnol.<br />

changes in carbohydrate status and metabolism in crop<br />

reproductive structures are crucial for successful fruit set.<br />

In addition to photosynthate supply, decrease in water<br />

potential and higher abscisic acid (ABA) accumulation in<br />

the reproductive structure of plants subjected to drought<br />

may also contribute to the loss of fruit or seed set (Liu et<br />

al., 2004).<br />

ABA also promoted dry matter accumulation in several<br />

organs and its level was strongly correlated with the<br />

growth rates of both fruits and seeds (Wang et al., 1998).<br />

Isogenic lines of wheat containing high levels of<br />

endogenous ABA appear to be better at osmoregulation<br />

and exhibit better growth and higher yields under water<br />

stress (Quarrie et al., 1999). This suggests that an<br />

appropriate level of ABA will be necessary for plants to<br />

grow successfully under stress conditions (Spollen et al.,<br />

2000).<br />

Although, it has been widely speculated that ABA may<br />

be causally related to growth inhibition (Dodd and Davies,<br />

2005).<br />

In addition to the physiological and biochemical<br />

responses of plants to water stress, the information on<br />

the molecular mechanisms of drought stress adaptation<br />

could be useful for the genetic improvement of droughtresistant<br />

crops/genotypes. Among the stress induced<br />

proteins identified, are those implicated in the<br />

biosynthesis of osmolytes (Ishitani et al., 1995), in the<br />

uptake and compartmentation of ions (Lisse et al., 1996),<br />

in hydroxyl-radical scavenging (Ingram and Bartels,<br />

1996) and protection of cellular structure (Neslihan-<br />

Ozturk et al., 2002). Proteins that show significant down<br />

regulation under drought stress were observed for<br />

photosynthesis-related function (Neslihan-Ozturk et al.,<br />

2002). Changes in protein patterns induced due to<br />

drought play a pivotal role in the adaptive response of<br />

plants to the stress (Riccardi et al., 1998). In line with<br />

these findings, drought stress initiated at different growth<br />

stages may induce quantitative and qualitative changes<br />

in wheat leaf proteins.<br />

The objective of this study was to investigate the<br />

differential effect of drought stress on seed ABA content<br />

and some physiological parameters and yield in two<br />

wheat (Triticum aestivum L.) genotypes differing in<br />

degree of drought resistance.<br />

MATERIALS AND METHODS<br />

Experimental procedure and design<br />

Based on preliminary experiments (Saeidi et al., 2006), two<br />

contrasting winter wheat cultivars (Triticum aestivum L.) Marvdasht<br />

and Zagros (drought susceptible and tolerant during grain filling,<br />

respectively were used in pot culture experiments during the<br />

growing season <strong>from</strong> 2009 to 2010 in the greenhouse of<br />

Agricultural Biotechnology Research Institute of Iran (48°20 N;<br />

31°41 E; 20 m above sea level). Pots with a diameter of 23 cm and<br />

height of 25 cm were each filled with 8 kg pot -1 sieved yellow drab<br />

soil mixed with 20 g pot -1 manure fertilizer and 3.3 g pot -1<br />

compound fertilizer (N:P:K = 9:8:8). The soil contained organic<br />

matter of 1.48%, total N of 0.12%, available N of 82.3 µg g -1 ,<br />

available P2O5 of 30.9 µg g -1 , available K2O of 126.7 µg g -1 . Drought<br />

stress was imposed by withholding the amount of water applied in<br />

order to keep the soil moisture level at about 50% of the field<br />

capacity (FC). For non-stressed (control) treatments, the soil<br />

moisture was maintained field capacity until the plants were<br />

harvested. Fifteen seeds per pot were initially sown and later<br />

thinned to five at the third-leaf stage. The pots were weighed daily<br />

and watered to restore the appropriate moisture by adding a<br />

calculated amount of water. The experiment was 2 x 2 (two cultivars<br />

and two water regimes) factorial design with four treatment. Each of<br />

the treatment had four replications with three sub-samples, in a<br />

complete randomized block design.<br />

Physiological measurements<br />

The net photosynthetic rate (PN), stomatal conductance (gs) were<br />

measured with a portable photosynthesis system LI-6400 (LI-COR,<br />

Lincoln, USA) on the flag leaves on 7, 10, 15, 22 and 31 days after<br />

anthesis. Photosynthetically active radiation (PAR) of 300 µmol m -2<br />

s -1 was provided at each measurement by the 6400-02 light source.<br />

The fully expanded flag leaves on the stated dates were<br />

homogenized in ice cold 100% (v/v %) acetone (1.5 ml for 250-mg<br />

sample) and extracted for 24 h. Samples were centrifuged at 5,000<br />

g for 15 min at 4°C. The pellet was extracted again with 80% (v/v<br />

%) acetone (1.5 ml for 250 mg sample) for 24 h. After centrifugation<br />

(5,000 g, 15 min, 4°C), the supernatants were collected. The<br />

chlorophyll composition was measured with a double-beam<br />

spectrophotometer <strong>using</strong> the method of Lichtenthaler and Wellburn<br />

(1983). This method involves measurement of the light absorbed in<br />

the plant extract at 646.8 and 663.2 nm. Six leaves were used for<br />

each treatment.<br />

Chemical analysis<br />

For seed sugar, starch analyses, protein and ABA content of the<br />

seed samples which obtained at 7, 15 and 31 days after the<br />

commencement of drought stress were dried at 80°C for 48 h.<br />

Sugars<br />

300 mg ground plant material was weighed into a 50 ml volumetric<br />

flask and 30 ml of double-demineralised water was added. The<br />

material was then extracted by incubating in a shaking water bath<br />

at 60°C for 30 min. The flask was quickly cooled on ice, and filled<br />

up to the mark with double-demineralised water followed by<br />

filtration with (blue-band) filter paper (Faltenfilter 5951/2, Scheicher<br />

and Schüll Co., Dassel, Germany). Sugars were determined by<br />

<strong>using</strong> enzymatic test kits and absorbances of the solutions were<br />

read at 340 nm.<br />

Starch<br />

Starch determination was performed following enzymatic assay<br />

procedure <strong>using</strong> the starch determination kit <strong>from</strong> Boehringer<br />

(Mannheim, Germany). Homogenised ground seed samples of 300<br />

mg were weighed into Erlenmeyer flasks, and 20 ml of<br />

dimethylsulfoxide and 5 ml HCl (8 mol l -1 ) were added. The sealed<br />

flask was then incubated for 30 min at 60°C in a shaking water<br />

bath. The sample solutions were cooled quickly to room<br />

temperature and approximately 50 ml water was added. The pH<br />

was adjusted to 4-5 with sodium hydroxide (5 M) under vigorous<br />

shaking. The solution was then transferred to a 100 ml volumetric<br />

flask, rinsed with water, filled up to the mark with water and filtered


Saeedipour and Moradi 16221<br />

Figure 1. Changes in chlorophyll a and b content in control, (A) and (C) and water stress treatments, (B) and (D)<br />

in flag leaves during grain filling in two wheat cultivars (drought Sensitive cv. Marvdasht and drought Tolerant cv.<br />

Zagros). Vertical bars represent ± SE of the mean (n=4) Data are means ± SE of three independent samples. SE<br />

bars are not shown where they are smaller than symbols.<br />

<strong>using</strong> Falten filter 5951/2 (Scheicher and Schüll Co., Dassel,<br />

Germany).<br />

Protein content determination<br />

Leaf samples were ground in liquid nitrogen and the powder was<br />

dissolved in 1 ml of 50 mM HEPES-NaOH buffer pH 7.6 containing<br />

3 mM DTT. After centrifugation for 10 min at 13000 g, the protein<br />

concentration was measured <strong>using</strong> the method Sedmak and<br />

Grossberg (1977), <strong>using</strong> BSA as standard protein. This allowed all<br />

enzymatic activities to be expressed relative to the soluble protein<br />

concentration.<br />

ABA<br />

Metabolite extraction <strong>from</strong> freeze-dried grains (second and third<br />

kernel <strong>from</strong> each spikelet) or flag leaf of two wheat genotypes was<br />

performed. Extracts were passed through a Sep Pak C18-cartridge.<br />

Methanol was removed under reduced pressure and the aqueous<br />

residue was partitioned three times against ethyl acetate at pH 3.0.<br />

The ethyl acetate of the combined organic fractions was removed<br />

under reduced pressure. The newly obtained residue was taken up<br />

in TBS-buffer (Tris buffered saline; 150 mmol L -1 NaCl 1 mmolL -1<br />

MgCl2 and 50 mmol L -1 Tris at pH 7.8) and subjected to an<br />

immunological ABA assay (ELISA) as described earlier (Mertens et<br />

al., 1985).<br />

RESULTS<br />

Chlorophyll content<br />

In the well water and drought stress plants, relevant<br />

differences were recorded in the leaves (Chl) throughout<br />

the experiment (Figure 1A and 1C). Chl a and b contents<br />

decreased steadily in response to water deficit treatment<br />

and a significant change were found in the Chl a and b<br />

contents at 31 DAA between treatments (Figure 1B and


16222 Afr. J. Biotechnol.<br />

Figure 1. Changes in chlorophyll a and b content in control, (A) and (C) and water stress treatments, (B)<br />

and (D) in flag leaves during grain filling in two wheat cultivars (drought Sensitive cv. Marvdasht and<br />

drought Tolerant cv. Zagros). Vertical bars represent ± SE of the mean (n=4) Data are means ± SE of<br />

three independent samples. SE bars are not shown where they are smaller than symbols.<br />

1D). Irrespective to water regime, the lower Chl levels<br />

were measured in flag leaves of the drought-sensitive<br />

Marvdasht during 7 to 22 DAA. Drought stress imposed<br />

at anthesis contrast to control treatment led to the<br />

senescence process started earlier in plants of both<br />

cultivars (Figure 1B and 1D).<br />

Photosynthetic performance<br />

The net CO2 assimilation rate (PN) of both cultivars under<br />

well-watered (WW) condition was significantly higher than<br />

under water stress and the difference between cultivars<br />

became more pronounced under stress condition (Figure<br />

2C and 2D). The PN of flag leaf in both cultivars under<br />

WW treatment exhibited a more moderate decline with a<br />

similar changing pattern in both cultivars, however,<br />

Marvdasht had lower values in PN nearly 9 contrast to 14<br />

μmol m -2 s -1 CO2 at the end of the experiment. At the<br />

beginning of water stress, imposing the PN reduced by 67<br />

and 50% in Marvdasht and Zagros compared with those<br />

of the control treatments, respectively. These reduction<br />

remain constant in drought-tolerant while dropped to 75%<br />

at the end of the experiment in drought-sensitive cultivar<br />

(Figure 2D). Similar to PN, values of gs in WW treatment<br />

were significantly higher than under water stress (Figure<br />

2A and 2B). Stomatal conductance (gs) under water<br />

withholding was significantly lower than the respective<br />

controls at all stages sampling and the differences kept<br />

remain with development. The water stress resulted in<br />

evident reduction in gs at early stage (7 DAA). A<br />

substantial reduction in gs of both cultivars during 7 DAA<br />

was followed by a further slight reduction till to end of<br />

experiment.<br />

Leaf protein contents<br />

The amounts of soluble proteins decreased within the<br />

period of after anthesis in both treatments (Figure 3A and


Saeedipour and Moradi 16223<br />

Figure 3. Changes in soluble proteins and net ABA content in control, (A) and (C) and water stress treatments, (B)<br />

and (D) in flag leaves during grain filling in two wheat cultivars (drought Sensitive cv. Marvdasht and drought<br />

Tolerant cv. Zagros). Vertical bars represent ± SE of the mean (n=4) Data are means ± SE of three independent<br />

samples.<br />

3B), although, considerable differences were detected<br />

between treatments, as substantial reduction occurred in<br />

both cultivars under water stress compared with the WW<br />

treatment. Irrespective of treatment, Zagros revealed<br />

higher soluble proteins content than Marvdasht throughout<br />

all stages sampling. Reduction in soluble proteins<br />

under water stress was more remarkable than well<br />

watered treatment <strong>from</strong> day 10 onwards in Marvdasht,<br />

since this difference was not evident until 31 DAA in<br />

Zagros (Figure 3B). Opposite to other physiological<br />

parameter mentioned, the leaf ABA contents increased<br />

by water stress imposed in both cultivars, however, the<br />

increment was more pronounced in drought-tolerant than<br />

sensitive one during 15 DAA (Figure 3D). In comparison,<br />

ABA levels under stress regime was significantly more<br />

than respective to controls at all stages except for day 31,<br />

and the differences reached to maximum value by day 15<br />

and then underwent a rapid reduction during 15 to 31<br />

DAA. In addition, an obvious differences in absolute ABA<br />

concentration was observed between cultivars under WW<br />

treatment and the ABA level was markedly more during<br />

20 DAA in drought-tolerant than drought-sensitive cultivar<br />

(Figure 3C).<br />

Seed yield and yield components<br />

In both genotypes, drought stress imposed at anthesis<br />

stage resulted in significant seed yield reduction (Table<br />

1). Drought stress that lasted for 31days resulted in 45.6<br />

and 8.2% seed yield reductions in Marvdasht and Zagros,<br />

respectively. The effect of drought on seed yield was<br />

primarily due to the significant reduction in grain weight<br />

per plant (Table 1). It is noteworthy that water stress led<br />

to 10.4% numbers of grains reductions in Marvdasht,<br />

whereas had no effect on Zagros grain number (Table 1).<br />

A similar changing pattern was found for aerial biomass<br />

in both cultivars. Generally, harvest index (HI) decreased<br />

under water stress condition, although, the reduction was<br />

more in drought-sensitive (37%) than to drought-tolerant


16224 Afr. J. Biotechnol.<br />

Table 1. Effect of different water treatment, well watered (control), withholding water (stress) <strong>from</strong> anthesis till to maturity on the final number<br />

of kernel per spike, kernel weight per spike, the thousand-kernel weight, aerial biomass of plant and harvest index in two wheat cultivars.<br />

Cultivar Water-deficit<br />

treatment<br />

Number of<br />

grains per ear<br />

Grain yield<br />

per ear (g)<br />

1000 grain dry<br />

mass (g)<br />

Aerial biomass (g<br />

plant -1 )<br />

Harvest<br />

Index (HI)<br />

Marvdasht WW 60.41 a 1.78 a 38.96 a 3.82 a 67.31 a<br />

WS 54.16 b 0.97 d 19.24c 2.59 b 42.33 c<br />

Zagros WW 48.37 c 1.43 b 33.44 b 2.51 b 64.76a<br />

WS 48.67bc 1.31 c 29.71b 2.62 b 56.81 b<br />

LSD (0.05)<br />

5.52 0.58 4.53 0.37 5.91<br />

Letters indicate statistical significance at p 0.05 within the same cultivar.<br />

(12%).<br />

Assimilate availability, starch synthesis and ABA<br />

accumulation<br />

Drought stress altered the sucrose concentration in the<br />

grains of the two wheat genotypes, as available sugar<br />

concentration was suppressed due to drought for<br />

Marvdasht but not for Zagros during 15 DAA (Figure 4B).<br />

The reduction in sucrose content of stressed grains<br />

became much pronounced (47% of control) at 15 DAA in<br />

drought-sensitive compared with those of the control<br />

whereas, a further slight elevation (3%) occurred during<br />

similar stage sampling in drought-tolerant compared with<br />

their respective controls (Figure 4B). Likewise, a rapid<br />

loss of sucrose began in stressed grains than in controls<br />

<strong>from</strong> day 15 onwards in Zagros and this event was<br />

simultaneous with mark starch accumulation during the<br />

same period (Figure 4B and 4D). A nearly linear pattern<br />

of starch accumulation was observed by stressed grains<br />

during all stage sampling in both cultivars (Figure 4D).<br />

However, a period of 16 days water stress (15 to 31<br />

DAA) caused a sharp enhanced in starch concentration<br />

per grain especially in drought-tolerant. A comparison<br />

between grain age under stress-watered conditions<br />

indicates a greater capacity (50 and 27%) of grains for<br />

starch synthesis at day 31 than at day 15 in Zagros and<br />

Marvdasht, respectively. A period of 8 days (7 to 15 DAA)<br />

water stress had no effect on the starch synthesis ability<br />

of the sink (Figure 4D). On a grain starch accumulation,<br />

differences between treatments were still not significant<br />

at day 15. However, at day 31 differences between<br />

treatments were apparent on this basis. The percentage<br />

conversion, as a proportion of total sucrose uptake, was<br />

considerably higher in stressed grains at day 31 in<br />

comparison with grains <strong>from</strong> control plants, implying that<br />

the conversion of sucrose taken up by the endosperm<br />

cells had been effectively raised by water stress.<br />

Under limited conditions, ABA content of both cultivars<br />

significantly enhanced in all stage sampling compared to<br />

their respective controls (Figures 4E and 4F). A pattern of<br />

grain ABA levels similar to that of control treatment was<br />

observed under stress conditions in both cultivars. The<br />

grain ABA content achieved a maximum value by day 15,<br />

and then undertakes a rapid reduction during the later<br />

stage of grain growth (15 to 31 DAA) (Figure 4F).<br />

Regardless of treatments; grain ABA concentration was<br />

more in drought-sensitive than drought-tolerant. In comparison,<br />

under water deficit, the grain ABA content in<br />

Marvdasht reached 1.8 fold of Zagros at the end of the<br />

experiment (Figure 4F). On the basis of our results, total<br />

sucrose conversion was stimulated by the lower ABA<br />

concentration in drought-tolerant in water stress<br />

treatment, but inhibited by higher ABA level in droughtsensitive;<br />

the higher ABA concentration in Marvdasht cv.<br />

caused the greater inhibition of sucrose conversion in<br />

grains (Figure 4B and 4F). Increase in Marvdasht grain<br />

ABA content caused a significant reduction in sucrose<br />

availability and starch accumulation when compared with<br />

their counterpart Zagros ABA concentration.<br />

DISCUSSION<br />

Varieties significantly differed in photosynthetic activities,<br />

and these differences could not only be expressed under<br />

the control condition but also became more obviously<br />

under water stress. In many experiments, it has been<br />

shown that photosynthesis decreases when gs decreases<br />

(example, Tenhunen et al., 1987; Nilsen and Orcutt,<br />

1996). Chaves and Oliviera (2004) concluded that gs only<br />

affect photosynthesis at severe drought stress. The<br />

decrease in photosynthesis in drought stressed plants<br />

can be attributed both to stomatal (stomatal closure) and<br />

non-stomatal (impairments of metabolic processes)<br />

factors. Under stress condition, Zagros showed higher<br />

photosynthesis and grain yield. At present, most<br />

researchers agree that the stomatal closure and the<br />

resulting CO2 deficit in the chloroplasts is the main cause<br />

of decreased photosynthesis under mild and moderate<br />

stresses (Flexas and Medrano, 2002). The study<br />

observation also showed that soluble proteins of the flag<br />

leaves declined with age in both cultivars under WW<br />

treatment, but water stress enhanced such a decline with<br />

a more extent in Marvdasht than Zagros, although,


Saeedipour and Moradi 16225<br />

Figure 4. Changes in sucrose, starch and ABA content in control, (A), (C) and (E) and water stress<br />

treatments, (B), and (D) and (F) in grains during grain filling in two wheat cultivars (drought Sensitive cv.<br />

Marvdasht and drought Tolerant cv. Zagros). Vertical bars represent ± SE of the mean (n=4) Data are means<br />

± SE of three independent samples.<br />

Marvdasht showed earlier reduction under stress<br />

treatment than Zagros cv (Figure 3). The changes in leaf<br />

protein corroborate with previous reports on the<br />

responses of plants to drought stress (Riccardi et al.,<br />

1998; Salekdeh et al., 2002).<br />

Irrespective to treatments, drought-tolerant showed a<br />

higher chlorophyll content during 7 to 22 DAA, and the<br />

differences between cultivars can only be expressed<br />

under well water treatment and not evident under stress<br />

condition for Chl a. Similar changing pattern was<br />

observed for Chl b, although, the differences between<br />

cultivars was distinct under the water deficit. Decreased<br />

or unchanged chlorophyll level during drought stress has<br />

been reported in other species, depending on the<br />

duration and severity of drought (Kpyoarissis et al.,<br />

1995). A decrease of total chlorophyll with drought stress<br />

implies a lowered capacity for light harvesting. Since the<br />

production of reactive oxygen species is mainly driven by<br />

excess energy absorption in the photosynthetic apparatus,<br />

this might be avoided by degrading the absorbing<br />

pigments (Herbinger et al., 2002). In addition, one must<br />

consider that the protective role of ABA over pigments<br />

may be related to stimulation of the nonphotochemical<br />

quenching imposed to increase the level of xanthophylls.<br />

Ivanov (1995) found that barley seedlings treated with<br />

ABA had markedly increased pigments levels, which play


16226 Afr. J. Biotechnol.<br />

an important role in maintaining the integrity of the<br />

photosynthetic membranes under situations of oxidative<br />

stress (Havaux, 1998; Munne´-Bosch and Alegre, 2002).<br />

In our experiments, the higher Zagros leaf ABA level<br />

promoted a greater concentration of chlorophylls and<br />

therefore yellowness was prevented. Consequently, ABA<br />

may promote (although indirectly) greater stability of the<br />

photosynthetic apparatus, allowing more photosynthesis<br />

and thus higher accumulation of dry matter in the<br />

harvested products (Thomas and Howarth, 2000).<br />

Varietal differences were found in terms of the level of<br />

sucrose available for metabolism in the grains under<br />

drought stress conditions (Figure 4B). In Marvdasht,<br />

drought initiated at early stage of grain filling (15 DAA)<br />

caused a marked reduction in seed sucrose concentration<br />

relative to the well-watered plants. On the<br />

contrary, seed sucrose concentrations for Zagros<br />

increased by about 3% as a consequence of the drought<br />

stress imposed during similar period. Sucrose metabolism<br />

is pivotal in seed development and is particularly<br />

susceptible to drought stress (Pinheiro et al., 2005). The<br />

decrease in seed sucrose concentration due to drought at<br />

all durations of stress in Marvdasht (Figure 4B), reflected<br />

the lower availability of the assimilate at source level. A<br />

direct relationship between sucrose availability and<br />

export rate at source level and the establishment of new<br />

sink organs has been shown for several crops (Setter et<br />

al., 2001; Liu et al., 2004). In line with these reports, we<br />

suppose that the higher decrease in sink size (number of<br />

endosperm cell) of the drought-sensitive genotype due to<br />

drought stress is partly attributed to reduced availability of<br />

the assimilate at source level (Ho, 1988).<br />

Although, a genotypic difference was evident for the<br />

length of the stress period at which the effects began to<br />

manifest, seed starch concentrations only for droughtsensitive<br />

wheat genotype was decreased under drought<br />

stress (Figure 4D). Drought induced decrease in seed<br />

starch accumulation was more consistent across the<br />

stress period considered for Marvdasht than for Zagros.<br />

In Marvdasht, drought stress at day 15 resulted in 39%<br />

less seed starch concentrations than the corresponding<br />

well-watered plants (Figure 4C and 4D). On the other<br />

hand, drought stress that lasted up to15 days did not<br />

affect seed starch accumulation of the drought-resistant<br />

genotype, Zagros. When the stress period was prolonged<br />

to 31 days, seed starch concentration of the genotype<br />

increased by ca. 28 and 100% relative to the WW<br />

treatment in drought-sensitive and drought-tolerant<br />

respectively (Figure 4D). In wheat endosperm, Jenner et<br />

al. (1991) found a relationship between the seed carbohydrates<br />

and the rate of storage starch accumulation was<br />

a function of the concentration of sucrose. Based on<br />

these relationships, it appears that shortage of assimilate<br />

(sucrose) could be one of the prime factors responsible<br />

for the reduced starch accumulation in the seeds of the<br />

drought-sensitive wheat genotype. On the basis of our<br />

previous study, the failure to set reproductive sinks under<br />

drought stress in Marvdasht addition to the decrease in<br />

sucrose concentration, attributed <strong>from</strong> the lower invertase<br />

activities in the reproductive structures. In the above<br />

context, we suppose that besides to sucrose availability,<br />

the capacity for utilizing the assimilate may have been<br />

differently affected in the two wheat genotypes under<br />

drought stress. The variation in sink may, therefore, partly<br />

explain the observed genotypic difference in the<br />

establishment and growth of reproductive structures<br />

under drought conditions. These results imply that apart<br />

<strong>from</strong> assimilate availability; drought stress may induce<br />

other factors that contribute to decreased seed starch<br />

synthesis. Limitations of sink activities due to the<br />

inhibition of the activities of key enzymes of sucrose<br />

metabolism, invertases and sucrose synthase (Weber et<br />

al., 2005), and starch synthesis (ADP-glucose pyro-phosphorylase<br />

and starch synthase) (Ho, 1988) have been<br />

cited as principal factors responsible for reduced starch<br />

synthesis under drought situations.<br />

As depicted in Figure 4, endogenous grain ABA levels<br />

increase with water stress in both genotypes. Relative to<br />

the corresponding WW treatments, drought stress<br />

increased sink grain ABA concentration of Marvdasht by<br />

ca. two-fold at early (7 DAA) and at late stage (31 DAA)<br />

of grain development compared with not evident<br />

differences for the drought-resistant genotype, Zagros<br />

(Figure 4F). We suppose that the differences in ABA<br />

accumulation due to drought relative to WW conditions<br />

(higher for Marvdasht compared with Zagros) may partly<br />

explain the differences found in grain abortion between<br />

the two wheat genotypes. Studies have shown that ABA<br />

accumulation in reproductive organs during early developmental<br />

inhibits cell division and subsequent abortion<br />

or failure to set seed (Wang et al., 1999).<br />

Overall, the results obtained <strong>from</strong> our study furnish<br />

valuable information regarding the relationship between<br />

ABA content and yield probably has an optimum ABA<br />

content which is likely to differ for each environment and<br />

crop. Below their optima, increases in ABA content might<br />

be reflected in higher yields, but too much ABA perhaps<br />

adversely affects grain filling and reduces yield (Quarrie,<br />

1991). The positive relationship between grain growth in<br />

vivo and grain ABA content is likely to be via the effect of<br />

ABA on stomatal aperture, enhancing water use<br />

efficiency (WUE) and leading to a better yield under field<br />

conditions. The negative response to ABA may reflect<br />

adverse effects on source activity (example, reducing<br />

current photosynthesis and accelerating senescence)<br />

and a decreased sink ability to attract and utilize available<br />

carbohydrates. Increased ABA levels under water stress<br />

conditions are likely to be above this optimum and thus<br />

negatively affect physiological processes including grain<br />

fill.<br />

Conclusion<br />

Drought stress significantly affected the growth and yield


of the two contrasting genotypes. The grain dry mass<br />

accumulation followed by numbers of grains per spike<br />

were the most affected yield components under drought<br />

stress. Compared with Marvdasht, Zagros had larger<br />

grain weight and higher harvest index under drought<br />

stress. Different grain sucrose concentration found<br />

between the contrasting watering regimes for both<br />

genotypes imply that sucrose availability as well as, the<br />

capacity for utilizing the assimilate affected under drought<br />

stress. The trend of seed starch accumulation of the<br />

genotypes due to the stress imposed maybe influenced<br />

by different grain ABA content. The decrease in seed<br />

starch accumulation of Marvdasht corresponded with<br />

marked increased in grain ABA level whereas the<br />

increased starch found for Zagros could be due to the<br />

stimulatory effect of appropriate sink ABA level activity<br />

factors accompany with sucrose availability.<br />

ACKNOWLEDGEMENT<br />

The corresponding author gratefully acknowledges the<br />

funding <strong>from</strong> the Islamic Azad University, Shoushtar<br />

branch through Grant.<br />

REFERENCES<br />

Chaves MM, Oliveira MM (2004). Mechanisms underlying plant<br />

resilience to water deficits: prospects for water-saving agriculture. J.<br />

Exp. Bot. 55: 2365-2384.<br />

Dodd IC, Davies WJ (2005). Hormones and the regulation of the water<br />

balance. In: Davies PJ (ed) Plant hormones: biosynthesis, signal<br />

transduction, action. Kluwer <strong>Academic</strong> Publishers, Dordrecht, pp.<br />

493-512<br />

Flexas J, Medrano H (2002). Drought-inhibition of photosynthesis in C-3<br />

plants: Stomatal and nonstomatal limitation revisited. Ann. Bot. 89:<br />

183-189.<br />

Havaux M (1998). Carotenoids as membrane stabilizers in chloroplasts.<br />

Trends Plant Sci. 3:147-151<br />

Herbinger K, Tausz M, Wonisch A, Soja G, Sorger A, Grill D (2002).<br />

Complex interactive effects of drought and ozone stress on the<br />

antioxidant defence systems of two wheat cultivars. Plant Physiol.<br />

Biochem. 40: 691-696.<br />

Ho LC (1988). Metabolism and compartmentation of imported sugars in<br />

sink organs in relation to sink strength. Ann. Rev. Plant Physiol. Mol<br />

Biol. 39: 355-378.<br />

Ingram J, Bartels D (1996). The molecular basis of dehydration<br />

tolerance in plants. Ann. Rev. Plant Physiol. Plant Mol. Biol. 47:377-<br />

403.<br />

Ishitani M, Nakamura T, Han SY, Takabe T (1995). Expression of the<br />

betaine aldehyde dehydrogenase gene in barley in response to<br />

osmotic stress and abscisic acid. Plant Mol. Bio. 27: 307-315.<br />

Iturbe Ormaetxe I, Escuredo PR, Arrese-Igor C, Becana M (1998).<br />

Oxidative damage in pea plants exposed to water deficit or paraquat.<br />

Plant Physiol. 116: 173–181.<br />

Ivanov A, Krol M, Maxwell D, Huner N (1995). Abscisic acid induced<br />

protection against photoinhibition of PSII correlates with enhanced<br />

activity of the xanthophylls cycle. FEBS Lett. 371: 61–64.<br />

Jenner CF, Uglade TD, Aspinall D (1991). The physiology of starch and<br />

protein deposition in the endosperm of wheat. Aust. J. Plant Physiol.<br />

18: 211-226.<br />

Kim JY, Mahé A, B rangeon J, Prioul JL (2000). A maize vacuolar<br />

invertase, IVR2, is induced by water stress. Organ/tissue specificity<br />

and diurnal modulation of expression. Plant Physiol. 124: 71-84.<br />

Kpyoarissis A, Petropoulou Y, Manetas Y (1995). Summer survival of<br />

leaves in a soft-leaved shrub (Phlomis fruticosa L., Labiatae) under<br />

Saeedipour and Moradi 16227<br />

Mediterranean field conditions: avoidance of photoinhibitory damage<br />

through decreased chlorophyll contents. J. Exp.Bot. 46: 1825–1831.<br />

Lichtenthaler HK, Wellburn AR (1983). Determination of carotenoids<br />

and chlorophyll a and b of leaf extracts in different solvents. Biochem.<br />

Soc. Trans. 11: 591-592.<br />

Lisse T, Bartels D, Kalbitzer HR, Jaenicke R (1996). The recombinant<br />

dehydrin-like desiccation stress protein <strong>from</strong> the resurrection plant<br />

Craterostigma plantagineum displays no defined three dimensional<br />

structure in its native state. Biol. Chem. 377: 555 -561.<br />

Liu F, Jensen CR, Andersen MN (2004). Drought stress effect on<br />

carbohydrateconcentration in soybean leaves and pods during early<br />

reproductive development: it simplication in altering pod set. Field<br />

Crops Res. 86(1): 1-13.<br />

Mertens RJ, Deus-Neumann B, Weiler EW (1985). Monoclonal<br />

antibodies for the detection and quantification of the endogenous<br />

plant growth regulator, abscisic acid. FEBS Lett. 160: 269-272.<br />

Munne-Bosch S, Alegre L (2002). The function of tocopherols and<br />

tocotrienols in plants. Crit Rev Plant Sci. 21:31-57.<br />

Neslihan-Ozturk Z, Talam´el V, Deyholos M, Michalowski CB, Galbraith<br />

DW, Gozukirmizi N, Tuberosa R, Bohnert HJ (2002). Monitoring<br />

large-scale changes in transcript abundance in drought- and<br />

saltstressed barley. Plant Mol. Biol. 48: 551-573.<br />

Nilsen ET, Orcutt DM (1996). The Physiology of Plants Under Stress.<br />

John Wiley & Sons, New York, pp. 322-361.<br />

Pinheiro C, Rodrigues AP, de Carvalho IS, Chaves MM, Ricardo CP<br />

(2005). Sugar metabolism in developing lupin seeds is affected by a<br />

short-term water deficit. J. Exp. Bot. 56(420): 2705-2712.<br />

Quarrie S, Stojanovic J, Pecic S (1999). Improving drought resistance in<br />

small-grained cereals: a case study, progress and prospects. Plant<br />

Growth Regul. 29: 1–21<br />

Quarrie SA (1991). Implications of genetic differences in ABA<br />

accumulation for crop production. In: Davies WJ and Jones HG (eds)<br />

Abscisic Acid. Physiology and Biochemistry. BIOS Scientific<br />

Publishers, pp. 227–244<br />

Ramirez-Vallejo P, Kelly JM (1998). Traits related to drought resistance<br />

in common bean. Euphytica, 99:127-136.<br />

Riccardi F, Gazeau P, de Vienne D, Zivy M (1998). Protein changes in<br />

response to progressive water deficit in maize. Quantitative variation<br />

and polypeptide identification. Plant Physiol. 117: 1253-1263.<br />

Saeidi M, Moradi F, Ahmadi A, Poostini K, Najafian G (2006). Effect of<br />

exogenous application of ABA and CK at different stages of grain<br />

development on some physiological aspects of source and sink<br />

relationship in two bread wheat cultivars. Iran. J. Crop Sci. 8: 268-<br />

282.<br />

Salekdeh GH, Siopongco J, Wade LJ, Ghareyazie B, Bennett J (2002).<br />

Proteomic analysis of rice leaves during drought stress and recovery.<br />

Proteomics, 2(9): 1131-45.<br />

Sedmak JJ, Grossberg SE (1977). A rapid, sensitive, and versatile<br />

assay for protein <strong>using</strong> Coomassie brillant blue G250. Ann. Biochem.<br />

79:544-552.<br />

Setter TL, Flannigan BA, Melkonian J (2001). Loss of kernel set due to<br />

water deficit and shade in maize: carbohydrate supplies, abscisic<br />

acid, and cytokinins. Crop Sci. 41:1530-1540.<br />

Spollen W, LeNoble M, Samuels T, Bernstein N, Sharp R (2000).<br />

Abscisic acid accumulation maintains maize primary root elongation<br />

at low water potentials by restricting ethylene production. Plant<br />

Physiol. 122: 967–976.<br />

Tenhunen JD, Pearcy RW, Lange OL (1987). Diurnal variations in leaf<br />

conductance and gas exchange in natural environments. In: Zeiger E,<br />

Farquhar GD, Cowan IR (Eds.), Stomatal Function. Stanford<br />

University Press, Stanford, California, pp. 323-351.<br />

Thomas B, Howarth C (2000). Five ways to stay green. J. Exp. Bot. 51:<br />

329–337.<br />

Wang RY, Yu ZW, Pan QM (1999). Changes of endogenous plant<br />

hormone contents during grain development in wheat. Acta Agron.<br />

Sinica, 25(3): 227-231<br />

Wang Z, Yang J, Zhu Q, Zhang Z, Lang Y, Wang X (1998). Reasons for<br />

poor grain filling in intersubspecific hybrid rice. Acta Agron Sinica,<br />

24:782-787.<br />

Weber H, Borisjuk L, Wobus U (2005). Molecular physiology of legume<br />

seed development. Ann. Rev. Plant Biol. 56: 253-279.


African Journal of Biotechnology Vol. 10(72), pp. 16228-16235, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1432<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Impacts of geo-physical factors and human disturbance<br />

on composition and diversity of roadside vegetation: A<br />

case study <strong>from</strong> Xishuangbanna National Nature<br />

Reserve of Southwest China<br />

Dong Shikui*, Li Jinpeng, Li Xiaoyan, Liu Shiliang and Zhao Qinghe.<br />

School of Environment, Beijing Normal University, Beijing, 100875, China.<br />

Accepted 19 September, 2011<br />

We examined vegetation-disturbance-environment relationships in the Xiaomengyang Section of<br />

Xishuangbanna Nature Reserve (XNR) <strong>using</strong> multivariate analysis to understand the impacts of<br />

geo-physical factors and human disturbance on vegetation along the highway corridor. We found that<br />

native forests were the best habitat for protected/endangered species and native species. The exotic<br />

plants Eupatorium odoratum and Eupatorium adenophora were found primarily in secondary forests and<br />

their presence was positively associated with altitude and soil potassium concentrations. The<br />

distribution of two protected plants, Phoebe nanmu and Pometia tomentosa, was negatively associated<br />

with road disturbance. Species richness was correlated with environmental factors but not related to<br />

historical land use and road disturbance. Understanding the complex effects of geo-physical factors and<br />

anthropogenic disturbance is important for developing and implementing conservation strategies for the<br />

protection and restoration of biological diversity and the integrity of roadside ecosystems.<br />

Key words: Vegetation composition, species diversity, gradient analysis, environmental controls, road<br />

construction, nature reserve.<br />

INTRODUCTION<br />

With rapid economic development and population growth<br />

in China, conservation efforts and environmental quality of<br />

many protected areas of the nation are threatened by a<br />

variety of human activities (Yang and Li, 2006).<br />

Agricultural production, resource exploitation, recreational<br />

activities and infrastructure development must be<br />

reconciled with the preservation of areas of high scenic<br />

and biological conservation value (Gen, 2001; Duan, 2005;<br />

Huang and Hu, 2007). Highway infrastructure develop-<br />

ment presents a particularly challenging balance between<br />

conservation and development (Song, 2004; Su and Li,<br />

2005).<br />

The Simao-Xiaomengyang (Sixiao) Highway, China’s<br />

section of Kunming-Bangkok international road, was<br />

recently developed (constructed in 2001 and opened in<br />

*Corresponding author. E-mail: dongshikui@sina.com. Tel:<br />

86-10-58802029. Fax: 86-10-58800397.<br />

2005) to connect the undeveloped southwest frontier of<br />

China to the highly developed north China as well as to<br />

neighboring countries in Southeast and South Asia. This<br />

road was planned to cut through the core zone of the<br />

Xiaomengyang Section of Xishuangbanna Nature<br />

Reserve (XNR), one of hotspots for tropical biodiversity in<br />

China and the world (Yang et al., 2006). To meet the<br />

national priority of development, the natural reserve<br />

management authority, China’s Forest Ministry, desig-<br />

nated part of the core zone of XNR as an experimental<br />

zone to accommodate the development of the Sixiao<br />

Highway (Song et al., 2005).<br />

Although, there has been an intense debate between<br />

environmentalists and development planners as to the<br />

program impacts of the Sixiao Highway on species and<br />

habitats in this area, there is little available evidence to<br />

support the arguments of either side due to limited<br />

site-specific research in this region. One of the objectives<br />

of the present study was to better understand how<br />

highway construction has impacted vegetation in the


Table 1. Environmental conditions of the sampling transects.<br />

Shikui et al. 16229<br />

Transect number Plot number Latitude Longitude Altitude (m) Slope Aspects Soil types Land use types<br />

1 1-3 N22º06' E100°54' 748-760 10 SW loam-clay old fields<br />

2 4-8 N22º10' E100°53' 790-844 27 W loam native forest<br />

3 9-12 N22º10' E100°53' 760-774 15 NE loam native forest<br />

4 13-15 N22º09' E100°52' 849-859 50 SW loam secondary forest<br />

5 16, 17 N22°08' E100°53' 897-925 20 N loam native forest<br />

6 18-20 N22°02' E100°53' 811-842 26 NE loam-clay native forest<br />

7 21-23 N22°08' E100°53' 817-937 15 SE loam-clay old fields<br />

8 24, 25 N22°10' E100°52' 769-773 10 NW loam-clay native forest<br />

XNR.<br />

We quantified vegetation patterns along an 18.5 km<br />

length of the highway, and examined the changes in the<br />

species composition along disturbance gradients that ran<br />

perpendicular <strong>from</strong> the highway into less disturbed<br />

habitats of the reserve.<br />

A simple method was applied needed to analyze and<br />

visualize the relationship between many species and<br />

many environmental variables (Ter Braak, 1987).<br />

Canonical correspondence analysis (CCA), a multivariate<br />

method, can provide a means to structure the data by<br />

separating systematic variation <strong>from</strong> noise (Gauch, 1982).<br />

Another objective of this study was to testify the feasibility<br />

of <strong>using</strong> the CCA and related multivariate analysis as a<br />

tool to infer the species-disturbance-environment<br />

relationship along roadside habitats in the protected area<br />

of XNR of Southwest China.<br />

MATERIALS AND METHODS<br />

Site description<br />

The study site is located in Wild Elephant Valley (22°07′ to 22°23′N,<br />

100°36′ to 101°18′E, and 590 to 1600 m a.s.l) of Yunnan Province,<br />

a hilly area in the subtropical to tropical zone of southwest China.<br />

Wild Elephant Valley is the central area of the Xiaomengyang<br />

Section of XNR, established in the 1950s, one of the earliest nature<br />

reserves established in China. The study area covers an 18.5 km<br />

length and 1 km wide section along the Sixiao Highway, which cuts<br />

through the newly defined experimental zone of the XNR. The area<br />

has a subtropical continental climate with a dry and monsoonal wet<br />

season. The annual average temperature is 20.8°C and annual<br />

precipitation is 1193.7 mm with most of the rain occurring <strong>from</strong><br />

May to November. The soils are dominated by loam or loam-clay<br />

soils, which are fine textured, well drained, and have high organic<br />

matter content (Table 1). The seasonal rain forests are dominated<br />

by Antiaris toxicaria, Canarium album and Gironniera subaequalis,<br />

and are the target vegetation for protection in XNR as it was<br />

reported to be one of the most important ecosystems with the richest<br />

species diversity in the world (Wilson, 1988). The secondary forests<br />

and open fields exist along the roadside in some locations due to<br />

historical land use activities, including row-crop agriculture, rubber<br />

plantations, and selective and clear-cut timber harvests.<br />

Study design and treatment<br />

To assess the role of the various controls on the distribution and<br />

abundance of the vegetation in roadside habitats, we measured a<br />

suite of plot-level geo-physical factors and human disturbance<br />

factors at each site of the road. The geo-physical factors were<br />

classified into two types, that is, geographic location and soil<br />

characteristics. Geographic location data including longitude,<br />

latitude, altitude, slope and aspect, were recorded <strong>using</strong> a Garmin<br />

Global Position System (GPS) and compass. Soil characteristics<br />

data including soil type, moisture, pH, organic carbon content, total<br />

nitrogen, phosphorus and potassium concentration, were deter-<br />

mined <strong>using</strong> a Time Domain Reflectometry (TDR), pH meter and<br />

Elementar Vario analyzer (El Ltd., Germany), respectively. Two<br />

types of human disturbance, that is, past anthropogenic practices<br />

and recent road construction, were considered in the study. As the<br />

intensity and duration of past human disturbances were not well<br />

documented, the intensity of historical human practices (HHP) was<br />

expressed by the succession stage of the vegetation, that is,<br />

primary forests, secondary forests and old fields. The distance to the<br />

road (RD) was used as a measure of the disturbance associated<br />

with road construction as many studies have shown that disturbance<br />

to vegetation is correlated to the distance <strong>from</strong> the road (Parendes<br />

and Jones, 2000; Gelbard and Belnap, 2003; Flory and Clay, 2006).<br />

Field survey and data collection<br />

Field surveys were conducted in 2004 and 2005 during the middle of<br />

the dry season <strong>from</strong> November to January following the modified<br />

design <strong>from</strong> Flory and Clay (2006). Eight transects of 0.3 to 1.0 km<br />

in length and 20 m in width were located along the road by a<br />

distance determined by a random number table. Transects were at<br />

least 20 m apart and at least 50 m <strong>from</strong> forest openings such as<br />

creeks and fields. Transects were set perpendicular to the road and<br />

started at the edge of the vegetation along the road, which was<br />

either native or planted. The extent of the transect length was<br />

determined by the variation of vegetation structure. Along each<br />

transect, 10 10 m plots were arranged at 10, 50, 200, and 500 m<br />

<strong>from</strong> the road for a total of 25 plots (Table 1 and Figure 1). All plant<br />

species within each plot were identified and the species composition<br />

and numbers in each plot were quantified.<br />

Based on the data collected <strong>from</strong> the field survey, the species<br />

abundance and diversity were quantified. Species abundance was<br />

recorded as number of individuals of each plant. Species richness<br />

(Marglef index), diversity (Shannon-Weaver index) and evenness<br />

(Pielou index) were calculated following the formulas cited by Dong<br />

et al. (1997).<br />

Statistical analysis<br />

Canonical correspondence analysis (CCA) was used to identify the<br />

ecological relationships between the vegetation and the


16230 Afr. J. Biotechnol.<br />

Figure 1. Locations of sample sites and arrays of sampling plots.<br />

environment along the roadside. In order to assure objectivity of the<br />

gradient analysis, the species abundance data were used for<br />

ordination. This analysis was performed <strong>using</strong> Software for<br />

Canonical Community Ordination (Version 4.5) recently developed<br />

by Ter Braak and Smilauer (2002). Multiple regression models were<br />

used to investigate the relationship between geographic factors<br />

(longitude, latitude, altitude, aspect, and slope), soil factors (type,<br />

pH, organic matter content, and nitrogen, phosphorus, and<br />

potassium concentration), historical human practices reflected by<br />

different land types (primary forest, secondary forest and old fields),<br />

road factors (distance to the road) and plant species richness,<br />

diversity and evenness, to determine what factors were most closely<br />

associated with the variation in species diversity. All analyses were<br />

performed <strong>using</strong> SPSS 12.0 (Huang et al., 2005).<br />

RESULTS<br />

A total of 216 vascular plants, including 72 tree species,<br />

75 shrub species, 58 herbaceous species and 11 vine<br />

species, representing 136 genera and 35 families were


Table 2. Canonical coefficients and intraset correlation coefficients derived <strong>from</strong> the species abundance data.<br />

Shikui et al. 16231<br />

Axis 1 2 3 4<br />

Eigenvalues 0.807 0.760 0.723 0.680<br />

Cumulative percentage variance of species data 6.9 13.4 19.6 25.4<br />

Cumulative percentage variance of species-environment relation 9.7 18.8 27.5 35.6<br />

Environmental<br />

Canonical coefficients Intraset correlation coefficients<br />

variables Axis 1 Axis 2 Axis 3 Axis 4 Axis 1 Axis 2 Axis 3 Axis 4<br />

RD -0.74 1.20 -0.92 -1.33 -0.17 0.67 0.11 -0.11<br />

LOG 0.29 -0.63 0.78 0.17 0.31 0.045 0.076 0.074<br />

LAT 0.14 -0.81 1.18 1.01 -0.20 -0.16 0.0621 -0.022<br />

ALT -0.94 0.75 0.17 -0.65 -0.41 -0.22 0.31 0.30<br />

SLP 0.21 -0.18 -0.11 1.11 -0.41 -0.13 -0.29 0.44<br />

ASP 0.62 -0.33 -0.53 1.00 -0.11 0.42 -0.13 0.31<br />

ST -0.58 0.52 -0.0073 -1.01 -0.54 0.34 -0.41 0.3229<br />

SM 0.24 -0.88 1.40 0.23 -0.14 0.444 0.54 -0.076<br />

SpH 0.30 -0.18 -0.21 1.25 -0.07 0.34 0.22 -0.042<br />

SOC -0.46 0.53 0.36 -1.23 0.12 0.053 0.47 -0.20<br />

STN 0.17 -0.79 0.51 1.97 -0.31 0.32 -0.0060 0.30<br />

SP 0.0091 0.47 -0.24 -0.86 -0.26 0.36 0.14 0.23<br />

SK 0.93 -0.61 -0.49 0.85 0.57 0.027 0.17 -0.037<br />

HHP 0.32 -0.32 -0.12 1.13 -0.35 -0.13 0.33 -0.026<br />

The abbreviations of environmental variables are: LOG, longitude; LAT, latitude; ALT, altitude; SLP, slope degree; ASP, slope aspect; ST, soil type;<br />

SM, soil moisture; SpH, soil PH; SOC, soil organic carbon; STN, soil total nitrogen; SP, soil phosphorus; SK, soil potassium; LUT, Historical human<br />

practices; RD, distance to road.<br />

collected and identified <strong>from</strong> the 25 plots. None of the 216<br />

species occurred in all 25 plots. Among these species, 1<br />

cultivated plant, Cassia siamea, was recorded in 2 plots,<br />

and 2 exotic plants, Eupatorium odoratum and<br />

Eupatorium adenophora, were identified in 11 plots and 1<br />

plot, respectively. Several endangered and protected<br />

species were sampled including the following: Cycas<br />

siamensis, a Grade I species in List of Wild Plants of<br />

National Priority Protection in China (LWPNPPC, initiated<br />

in 1999) and grade II species in List of Chinese Rare and<br />

Endangered Plants for Protection (LCREPP, initiated in<br />

1984) was recorded in 4 plots; Magnolia henryi, a Grade II<br />

species in LWPNPPC and Grade II species in LCREPP<br />

was recorded in 1 plot; Terminalia myriocarpa, a Grade II<br />

species in LWPNPPC and Grade III species in LCREPP<br />

was recorded in 1 plot; Gmelina arborea, a Grade II<br />

species in LCREPP was recorded in 2 plots; Phoebe<br />

nanmu, a Grade II species in LCREPP was recorded in 2<br />

plots; Pometia tomentosa, another Grade II species in<br />

LCREPP was recorded in 3 plots; Paramichelia baillonii, a<br />

Grade III species in LCREPP was recorded in 1 plot;<br />

Lagerstroimia intermedia, another Grade III species in<br />

LCREPP was recorded in 1 plot.<br />

Ordination of the vegetation<br />

The sign and relative magnitudes of the canonical co-<br />

efficients and of the intraset correlations indicate the<br />

relative importance of each environmental factor in<br />

predicting the species composition along the ordination<br />

axes. The first four axes of the CCA ordination all had<br />

relatively high eigenvalues (Table 2); however, they only<br />

explained 25.4% of the total sample variance in the<br />

species data and 35.6% of the species-environment<br />

relationships. All four axes had similar explanatory power.<br />

Axis I was defined primarily by soil type and soil K con-<br />

centrations; the second by road construction disturbance;<br />

the third by soil organic carbon, soil moisture and human<br />

disturbance; and the fourth by slope, altitude and soil N<br />

concentrations.<br />

It is clear <strong>from</strong> Figure 2 that historical land use (HHP),<br />

road construction (RD), and soil phosphorus (SP) were<br />

the most influential environmental factors affecting the<br />

vegetation composition along the roadside habitats in<br />

XNR as indicated by the length of these vectors. Altitude,<br />

slope, aspect and soil K concentrations were positively<br />

correlated with HHP. Soil moisture soil organic carbon,<br />

soil nitrogen, slope aspect, and soil type were all<br />

positively correlated with distance to the road. Only<br />

longitude and soil pH were positively associated with soil<br />

phosphorus concentrations.<br />

The species Imperata cylindrica, Solanum xantho-<br />

carpum, Hevea brasiliensis and Schizonepeta tenuifolia<br />

and to a lesser extent Digitaria ternata clustered together<br />

in the old fields reflected by their closeness to sample


16232 Afr. J. Biotechnol.<br />

0.8<br />

ALT<br />

-0.6<br />

Sid sze Pue mon<br />

Aca pen 21 Age con<br />

Tre tom<br />

Tit div<br />

Tet dub Thl dub<br />

Abe man Lag int<br />

SP<br />

Cas sia LOG<br />

Fic rac<br />

Gyr cre<br />

SK<br />

Bro pap<br />

ST<br />

Eup coe<br />

Ter myr 15 22 4<br />

Eup odo 17 Den str<br />

SpH 23<br />

7<br />

13 8<br />

6<br />

Str fim 18 5 ASP Pho nan<br />

16<br />

24 20 11<br />

14<br />

25 19 9 Gme arb<br />

Mag Hen 12 Cyc sia<br />

SLP Par bai<br />

RD 10 Pom tom<br />

SM LAT<br />

LUT<br />

STN<br />

SOC<br />

Ste uli<br />

Ver pat<br />

Sta obl<br />

Ecl pro<br />

Cyn dac Ana sin<br />

Hyd nep<br />

-0.6 1.0<br />

Figure 2. CCA ordination diagram with plant species (△), sample quadrates (●and number 1-25) and environmental<br />

variables (arrows) on the basis of species presence; first axis is horizontal, second axis is vertical. To avoid the crowd of<br />

the diagram, we only present the species with positions far <strong>from</strong> center and some important species (protected, exotic and<br />

Figure 2. CCA ordination diagram with plant species (△), sample quadrates (●and number 1-<br />

25) cultivated and species) environmental in the diagram variables <strong>using</strong> the abbreviations (arrows) as on follows the buted basis as follows: of species Abe man=Abelmoschus presence; manihot, first axis is<br />

Aca pen=Acacia pennata, Age con=Ageratum conyzoides, Ana sin=Anaphalis sinica, Bro pap=Broussonetia papyrifera,<br />

Cas sia=Cassia siamea, Cyc sia=Cycas siamensis, Cyn dac=Cynodon dactylon, Den str=Dendrocalamus strictus, Ecl<br />

pro=Eclipta prostrate, Eup coe=Eupatorium coelestinum, Eup odo=Eupatorium odoratum, Fic rac=Ficus racemosn, Gme<br />

arb=Gmelina arborea, Gyr cre=Gyrmra crepidioides, Hyd nep=Hydrocotyle nepalensis, Mag hen=Magnolia henryi, Par<br />

bai=Paramichelia baillonii, Pho nan=Phoebe nanmu, Pom tom=Pometia tomentosa, Pue mon= Pueraria montana, Sid<br />

sze= Side szechuensis, Sta obl= Stachys oblongifolia, Ste uli=Stellaria uliginosa, Str fim=Strophioblachia fimbricalys, Ter<br />

myr=Terminalia myriocarpa, Tet dub= Tetrastigma dubinum, Thl dub=Thladiantha dubia, Tit div= Tithonia diversifolia, Tre<br />

horizontal, second axis is vertical. To avoid the crowd of the diagram, we only present the<br />

species with positions far <strong>from</strong> center and some important species (protected, exotic and<br />

cultivated species) in the diagram <strong>using</strong> the abbreviations as follows buted as follows: Abe<br />

man=Abelmoschus manihot, Aca pen=Acacia pennata, Age con=Ageratum conyzoides, Ana<br />

sin=Anaphalis tom= Trema tomentosa, sinica, Ver pat=Vernonia Bro pap=Broussonetia patula. The abbreviations papyrifera, of environmental variables Cas sia=Cassia are present in Table siamea, 2. Cyc<br />

sia=Cycas siamensis, Cyn dac=Cynodon dactylon, Den str=Dendrocalamus strictus, Ecl<br />

pro=Eclipta prostrate, Eup coe=Eupatorium coelestinum, Eup odo=Eupatorium odoratum,<br />

points 23 on the graph, and their distributions were clearly abundance insofar as these can be explained by the<br />

controlled Fic by rac=Ficus RD. The species racemosn, Hydrocotyle Gme nepalensis, arb=Gmelina environmental arborea, Gyr factors cre=Gyrmra measured in crepidioides, this study. Nearly Hyd all<br />

Eclipta prostrate, nep=Hydrocotyle Cynodon dactylon nepalensis, and Anaphalis Mag hen=Magnolia sinica, endangered henryi, or protected Par bai=Paramichelia species sampled in baillonii, this study<br />

Stachys oblongifolia and Vernonia patula were clearly were found in native forest habitat (sample points 6, 8, 11,<br />

Pho nan=Phoebe nanmu, Pom tom=Pometia tomentosa, Pue mon= Pueraria montana, Sid<br />

separated <strong>from</strong> the other species and tightly clustered 16, 18, 20, and 25), except for P. baillonii was found in<br />

near the sze= SP environmental Side szechuensis, vector indicated Sta obl= that SP Stachys had a oblongifolia, secondary forest Ste (sample uli=Stellaria site 14). The distribution uliginosa, pattern Str<br />

strong influence fim=Strophioblachia on controlling the fimbricalys, distribution Ter of these myr=Terminalia of endangered myriocarpa, or protected species Tet dub= along Tetrastigma<br />

the gradient of<br />

species. The two exotic species, E. odoratum and E. the distance to road shows that Phoebe nanmu and<br />

dubinum, Thl dub=Thladiantha dubia, Tit div= Tithonia diversifolia, Tre tom= Trema<br />

adenophora, were most abundant in secondary forests as Pometia tomentosa were abundant in the sites near the<br />

indicated tomentosa, by their closeness Ver pat=Vernonia to sample points patula. 14 and 15, The abbreviations roadside and the of rest environmental were abundant in variables the sites far are <strong>from</strong><br />

and were present influenced in Table positively 2. by HHP.<br />

the roadside. Two exotic species, E. odoratum and E.<br />

adenophora were more abundant in the plots of<br />

secondary forest, reflected by their closeness to sample<br />

Species abundance along environmental and points 14 and 15. The abundance of these two plants was<br />

disturbance gradients<br />

correlated positively with soil potassium and negatively<br />

with the distance to road. The cultivated species, C.<br />

The species points and sample points (plots) in Figure 3 siamea, was more abundant in the plot of old fields,<br />

jointly represent the dominant patterns of the species reflected by its location at the sample point 22. The<br />

2<br />

3<br />

1


1.0<br />

-0.8<br />

LUT<br />

SOC<br />

Imp cyl 23<br />

Sol xan<br />

Hev bra Sch ten<br />

RD<br />

Dig ter<br />

SN<br />

ST<br />

ASP<br />

SM<br />

25<br />

19<br />

Pho nan<br />

Hyp tri<br />

22 Jat cur<br />

Cas sia<br />

Mag Hen 24 Pom tom<br />

20<br />

16 9 SpH LOG<br />

Pho lan 6 5 10<br />

12<br />

17<br />

Gme arb 18 13 4<br />

Str fim<br />

7<br />

SLP<br />

SK Par bai Lag int<br />

LAT 14 11<br />

Eup odo Ter myr<br />

ALT<br />

15<br />

Eup coe 8<br />

Cyc sia<br />

SP<br />

Sta obl<br />

Ver pat<br />

-1.0 1.0<br />

3<br />

21<br />

2<br />

Shikui et al. 16233<br />

Hyd nep<br />

Ecl pro<br />

1<br />

Cyn dac<br />

Ana sin<br />

Figure 3. CCA ordination diagram with plant species (△), sample quadrates (●and number 1 to25) and environmental<br />

variables (arrows) on the basis of species abundance; first axis is horizontal, second axis is vertical. To avoid the crowd of the<br />

diagram, we only present the species with positions far <strong>from</strong> center and some important species (protected, exotic and<br />

cultivated species) in the diagram <strong>using</strong> the abbreviations as follows buted as follows: Ana sin=Anaphalis sinica, Cas<br />

sia=Cassia siamea, Cyc sia=Cycas siamensis, Cyn dac=Cynodon dactylon, Dig ter=Digitaria ternata, Ecl pro=Eclipta prostrate,<br />

Eup coe=Eupatorium coelestinum, Eup odo=Eupatorium odoratum, Gme arb=Gmelina arborea, Hey bra=Hevea brasiliensis,<br />

Hpy tri= Hypoestes triflora, Imp cyl=Imperata cylindrica, Jat cur= Jatropha curcas, Lag int=Lagerstroimia intermedia, Mag<br />

hen=Magnolia henryi, Par bai=Paramichelia baillonii, Pho lan=Phoebe lanceolata, Pho nan=Phoebe nanmu, Pom<br />

tom=Pometia tomentosa, Sch ten=Schizonepeta tenuifolia, Sol xan= Solanum xanthocarpum, Sta obl= Stachys oblongifolia,<br />

Str fim=Strophioblachia fimbricalys, Ter myr=Terminalia myriocarpa, Ver pat=Vernonia patula. The abbreviations of<br />

environmental variables are present in Table 2.<br />

abundance of this plant was positively associated with the<br />

distance to road, that is, closer to the road had more C.<br />

siamea.<br />

Relationship between plant diversity and<br />

environmental and disturbance factors<br />

It can be seen <strong>from</strong> Table 3 that species richness repre-<br />

sented by the Margalef index correlated negatively to<br />

longitude (p < 0.05) and slope aspect (p < 0.01), but<br />

positively to soil organic carbon (p < 0.05). There were no<br />

significant correlations between any of the measured<br />

environmental variables and species evenness as<br />

measured by the Pileou or species diversity estimated by<br />

the Shannon-Weaver index.<br />

DISCUSSION<br />

The present study examined the correlation between<br />

environmental factors, human disturbance and vegetation<br />

composition and plant diversity in different roadside<br />

habitats along international highway in a protected area,<br />

XNR in Southwestern China. Overall, the vegetation in the<br />

XNR has not been affected to a great extent by the<br />

construction of the road. Habitat types, geographic<br />

locations and soil factors were the key factors affecting<br />

the species vegetation compositions and plant diversity<br />

along the roadside habitats in XNR.


16234 Afr. J. Biotechnol.<br />

Table 3. Spearman correlations between species diversity and environmental variables.<br />

Environmental<br />

variable<br />

Margalef index<br />

Coefficient Sigificance<br />

Species diversity<br />

Shannon-Weaver index<br />

Coefficient Significance<br />

Pielou index<br />

Coefficient Significance<br />

RD 0.189 0.365 0.205 0. 326 0.03 0.886<br />

LOG -.399* 0.048 -0.028 0. 895 0.104 0.622<br />

LAT 0.197 0.346 -0.055 0. 796 -0.169 0.419<br />

ALT 0.092 0.66 -0.2 0. 338 -0.332 0.105<br />

SLP -0.043 0.837 0 1.00 -0.028 0.895<br />

ASP -.539** 0.01 -0.156 0.489 -0.08 0.722<br />

ST 0.033 0.876 0.011 0.958 -0.031 0.883<br />

SM 0.305 0.139 0.218 0.295 0.106 0.615<br />

SpH -0.187 0.371 -0.14 0.505 0.007 0.972<br />

SOC .456* 0.022 0.109 0.604 -0.095 0.651<br />

STN 0.382 0.06 0.083 0.692 -0.101 0.63<br />

SP -0.06 0.774 0.093 0.657 0.158 0.451<br />

SK 0.085 0.686 -0.091 0.665 -0.135 0.521<br />

HHP 0.244 0.241 -0.212 0.308 -0.321 0.118<br />

The abbreviations of variables are similar to Table 2; ** Correlation is significant at the 0.01 level (2-tailed); * Correlation is significant at the 0.05<br />

level (2-tailed).<br />

Species-sites relationship in CCA ordination diagram<br />

indicates that the habitat types strongly influenced the<br />

presence and abundance of key plant species. Native<br />

forest was the best habitat for most protected/endangered<br />

species and primitive species. This means that native<br />

forest should be the priority for roadside habitat protection<br />

in this area. Secondary forest, as habitats with high<br />

human interventions, may serve as source for invasion of<br />

exotic species into more pristine environments (Tyser and<br />

Worley, 1992; Hobbs, 2000). Higher light and bare soil<br />

exposure may have favored alien plant establishment<br />

(Parendes and Jones, 2000; Flory and Clay, 2006).This is<br />

why two alien plants, E. odoratum and E. adenophora<br />

were found abundant there. One protected species P.<br />

baillonii was also abundant in secondary forest.<br />

Restoration of secondary forest is necessary to facilitate<br />

the growth of protected species and to control the<br />

invasion of exotic species. Old fields was abounded<br />

rubber forest or farm land, on which C. siamea has been<br />

planted to form a highly appreciated fuelwood used by the<br />

local people due to quick regrowth of the branches of this<br />

plant. A better control of upperstorey timber cutting is<br />

required to maintain this land use type.<br />

Species-environment relationship in CCA ordination<br />

diagram indicates that altitude and soil potassium were<br />

most important factors affecting the presence of E.<br />

odoratum and E. adenophora and historical land use was<br />

one of the most influential factors that determines the<br />

abundance of these two alien plants. That is in agreement<br />

with other researchers’ reports that the distribution of alien<br />

species was highly related to land use patterns (Hobbs,<br />

2000; Sax and Brown, 2000) and our preliminary finding<br />

that E. adenophora (also named Ageratina adenophora)<br />

was more susceptible to total soil potassium (unpublished<br />

data). Better land use and reduced soil potassium may be<br />

the solutions to control the invasion of alien species. In<br />

present study, it was found that road disturbance played<br />

very important role in determining the distribution of two<br />

protected plants of P. nanmu and P. tomentosa. Higher<br />

abundance of these two protected species near roadside<br />

means that moderate disturbance derived <strong>from</strong> road<br />

construction and traffic may favor their survival and<br />

growth. This is a proof to support the view that the effects<br />

of roadwork on the vegetation and its environment were<br />

complex and sometimes positive (Forman and Alexander,<br />

1998).<br />

Although, previous researchers have noted the incre-<br />

mental effects of road developments (Forman and<br />

Alexander, 1998) and argued the loss of biological<br />

diversity (Southerland, 1995; Angold, 1997) and the<br />

fragmentation of natural habitats (Heilman et al., 2002;<br />

Spellerberg, 1998) resulted <strong>from</strong> road construction and<br />

traffic, the correlation analysis in this study showed that<br />

species richness was solely related significantly to some<br />

geographic and soil factors while not to land use and road<br />

disturbance. This may be mainly attributed to three<br />

reasons according to Sixiao Road Planning Report (Song<br />

et al., 2005; Zhuang, 2007): (1) the protective strategies<br />

including choosing the shortest route, evading key<br />

habitats and minimizing ecosystem damage were<br />

adopted during road planning period to reduce the<br />

potential negative effect of roadwork; (2) the construction<br />

projects of ecological protection including viaduct, and<br />

tunnels have been dramatically used during road<br />

construction to avoid the clearance of plant, fragmentation<br />

of habitat and alteration of hydrological flows and soil


condition; (3) the protective measures including enclosure<br />

of road system, bio-protection of slope and limitation of<br />

traffic were strictly implemented during road service<br />

period.<br />

The results of this study are important for several<br />

practical reasons. First, they identify the effects of<br />

environmental factors, land use and road disturbance, on<br />

the species composition and diversity along roadside<br />

habitats in the protected area of XNR. Hence, they are<br />

very meaningful for maintaining vegetation structure and<br />

distribution pattern in this protected area and other similar<br />

sites. Second, they reveal how key species (endangered<br />

species, exotic species and cultivated species) respond to<br />

environmental factors, land use and road disturbance. So,<br />

they give a good indication to better key species mana-<br />

gement (protect the endangered species, control exotic<br />

species and maintain cultivated species) and improve<br />

their environment. Third, they show the clear relationships<br />

between species, environment and sites (habitats).<br />

Therefore, they can provide a baseline to formulate the<br />

plans of roadside habitats protection or restoration.<br />

Indeed, the results appear to indicate understanding<br />

complex effects of environmental factors, land use and<br />

road disturbance is very important to develop and<br />

implement the strategies to protect or restore elements of<br />

biological diversity and integrity of roadside ecosystems.<br />

ACKNOWLEDGEMENTS<br />

This research is supported by National Natural Science<br />

Foundation of China projects (50939001) and (30870466).<br />

The authors wish to express great thanks to reviewers<br />

and editors for their time and efforts.<br />

REFERENCES<br />

Angold PG (1997). The impact of a road upon adjacent heathland<br />

vegetation: effects on species composition. J. Appl. Ecol. 34: 409-417.<br />

Dong M, Wang YF, Kong FZ (1997). Survey and analysis methods for<br />

terrestrial biocommunity. China Standard Press, Beijing, China.<br />

Duan XX (2005). Study about the agricultural sustainable development<br />

in natural preservation zone. Sichuan Forest Explor. Des. 7(2): 21-24<br />

Forman RTT, Alexander LE (1998). Road and their major ecological<br />

effects. Annu. Rev. Ecol. Syst. 29: 207-231.<br />

Flory SL, Clay K (2006). Invasive shrub distribution varies with distance<br />

to roads and stand age in eastern deciduous forests in <strong>India</strong>na, USA.<br />

Plant Ecol. 184: 131-141.<br />

Gelbard JL, Belnap J (2003). Roads as conduits for exotic plant<br />

invasions in a semiarid landscape. Conserv Biol. 17: 420–432.<br />

Gen PX (2001). Ecotourism and the Building of Nature Reserves. Areal.<br />

Res. Dev. 20 (3): 79-87.<br />

Heilman GE, Stritthold .Jr. JR, Slosser NC, Dellasala DA (2002). Forest<br />

fragmentation of the conterminous United States: assessing forest<br />

intactness through road density and spatial characteristics. Bioscience,<br />

52: 411-422.<br />

Hobbs RJ (2000). Land use changes and invasions. in Mooney HA,<br />

Hobbs RJ (eds.). Invasive species in a changing world. Island Press,<br />

Washington, D.C. pp. 385-421.<br />

Shikui et al. 16235<br />

Huang T, Hu J (2007). Relationship between Construction of Nature<br />

Reserves and Community Development. Rural Econ. (5): 40-42.<br />

Huang H, Luo YF, Chen ZY (2005). SPSS 12.0 for windows: Statistic<br />

analysis. Beijing: People’s Posts and Telecommunications Publishing<br />

House.<br />

Parendes LA, Jones JA (2000). Role of light availability and dispersal in<br />

exotic plant invasion along roads and streams in the H. J. Andrews<br />

Experimental Forest, Oregon. Conserv. Biol. 14: 64-75.<br />

Sax DE, Brown JH (2000). The paradox of invasion. Global Ecol.<br />

Biogeogr. 9: 363-371.<br />

Song WX (2004). Influences of Expressway Construction and<br />

Environmental Protection of Natural Conservation Zone. J Henan U<br />

Sci Technol (Natural Science). 25(6): 58-61.<br />

Song FC, Tian WP, Zhao QQ, Fang R, Li GF (2005). Environment<br />

Impact and Engineering Measures for the Si-Xiao Expressway<br />

Construction in Tropical Rain Forest Area. J. Highway Transport Res.<br />

Dev. 22(9): 175-178.<br />

Southerland MT (1995). Conserving biological diversity in highway<br />

development projects. Environ. Prof. 17: 226-242.<br />

Spellerberg IF (1998). Ecological effects of roads and traffic: a literature<br />

review. Global Ecol. Biogeogr. Lett. 7: 317-333.<br />

Su FY, Li YK (2005). Highway Construction Influence to Natural<br />

Protection Area and Related Measures. Modern Transport Technol.<br />

2(3): 78-80.<br />

Ter Brakk CJF (1987). The analysis of vegetation-environment<br />

relationships by canonical correspondence analysis. Vegetation, 69:<br />

69-77.<br />

Ter Braak CJF, Smilauer P (2002). CANOCO reference manual and<br />

CanoDraw for windows user’s guide. Biometris, Wageningen<br />

University and Research Centre, Wageningen, the Netherlands.<br />

Tyser RW, Worley CA (1992). Alien flora in grassland adjacent to road<br />

and trail corridors in Glacier National Park, Montana (USA). Conserv.<br />

Biol. 6: 253-262.<br />

Wilson EO (ed.) (1988). Biodiversity. National Academy Press,<br />

Washington, D. C.<br />

Yang Q, Han L, Chen J, Bai ZL (2006). Strategy, protective status and<br />

value of tropical rain forestry in Xishuangbanna. J. Guangxi Agr. Biol.<br />

Sci. 25(4): 341-348.<br />

Yang RG, Li HM (2006). Study on the Environmental Deprivation in the<br />

Establishment of Chinese Natural Reserve System. China Population,<br />

Resour. Environ. 16(3): 23-27.<br />

Zhuang LY (2007). Principles of Road Design and Route Selection for<br />

Si-Xiao Highway Construction. J. China Foreign Highway, 27(1):<br />

11-16.


African Journal of Biotechnology Vol. 10(72), pp. 16236-16249, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1122<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Modeling spatial pattern of deforestation <strong>using</strong> GIS and<br />

logistic regression: A case study of northern Ilam<br />

forests, Ilam province, Iran<br />

Saleh Arekhi<br />

Department of Forest and Rangeland, University of Ilam, Ilam, Iran. E-mail:<br />

saleh148@yahoo.com Tel: 0098-918-843-0318. Fax: 0098-841-2227015.<br />

Accepted 25 July, 2011<br />

This study aimed to predict spatial distribution of deforestation and detects factors influencing forest<br />

degradation of Northern forests of Ilam province. For this purpose, effects of six factors including<br />

distance <strong>from</strong> road and settlement areas, forest fragmentation index, elevation, slope and distance <strong>from</strong><br />

the forest edge on the forest deforestation were studied. In order to evaluate the changes in forest,<br />

images related to TM1988, ETM + 2001 and ETM + 2007 were processed and classified. There are two<br />

classes as, forest and non-forest in order to assess deforestation factors. The logistic regression<br />

method is used for modeling and estimating the spatial distribution of deforestation. The results show<br />

that about 19,294 ha <strong>from</strong> forest areas are deforested in the 19 years. Modeling results also indicate that<br />

more deforestation occurred in the fragmented forest cover and in the areas of proximity to forest/non<br />

forest edge. Furthermore, slope and distance <strong>from</strong> road and settlement areas had negative<br />

relationships with deforestation rates. Meanwhile, deforestation rate is decreased with increase in<br />

elevation. Finally, a simple spatial model is presented that is able to predict the location of<br />

deforestation by <strong>using</strong> logistic regression. The validation was also tested <strong>using</strong> ROC approach which<br />

was found to be 0.96.<br />

Key words: Deforestation modeling, remote sensing, logistic regression, Zagros forests, Ilam province, Ilam.<br />

INTRODUCTION<br />

Three well-known global changes are increasing carbon<br />

dioxide in the atmosphere, alterations in the biochemistry<br />

of the global nitrogen cycle and continuing land-use/landcover<br />

change(LU/LC) (Vitousek, 1994), which generates<br />

many environmental consequences globally and locally,<br />

such as the release of greenhouse gases, the loss of<br />

biodiversity and the sedimentation of lakes and streams<br />

(Walker, 2000). In particular, it is recognized as the major<br />

driver of the loss of biodiversity and ecosystem services<br />

(Haines-Young, 2009). The effects of land-use changes<br />

on biodiversity may be greater than climate change, biotic<br />

exchange, and elevated carbon dioxide concentration at<br />

the global scale (Sala, 2000). Deforestation is known as<br />

one of the most important elements in LU/LC. Globally,<br />

deforestation has been occurring at an alarming rate of<br />

13 million hectares per year (FAO, 2005).<br />

The Mediterranean area is one of the most significantly<br />

altered hotspots on Earth (Myers et al., 2000). It has<br />

been intensively affected by human activity for millennia<br />

(Covas and Blondel, 1998; Lavorel et al., 1998; Blondel<br />

and Aronson, 1999; Vallejo et al., 2005). As a result, only<br />

4.7% of its primary vegetation has remained unaltered<br />

(Falcucci et al., 2007). Agricultural lands, evergreen<br />

woodlands and maquis habitats that dominate the<br />

Mediterranean basin are the result of anthropogenic<br />

disturbances over centuries or even millennia (Blondel<br />

and Aronson, 1995; Blondel, 2006).<br />

Although, Iran has 14.4 million hectares of forestlands,<br />

it is still not safeguarding its natural heritage properly. A<br />

report by the United Nations‟ Food and Agriculture<br />

Organization (FAO), does not present a hopeful scenario<br />

for the Iranian environment. As an example, it reports that<br />

11.5% of the country‟s northern forests have been<br />

destroyed beyond recognition (http://earthtrends.wri.org).<br />

Its high deforestation rate has placed Iran among the top<br />

ten Asia and Pacific countries that destroy forests, with<br />

economic losses estimated at 6,800 billion rials<br />

(http://earthtrends.wri.org).


The Zagros region is located in the west of Iran running<br />

<strong>from</strong> northwest to southeast. Total forest area is about<br />

5.2 million hectares. Population pressure has led to<br />

encroachments on the forestland, for agricultural and<br />

garden use, collection of fuel wood, mining, human settlements,<br />

grazing, utilization of branches and leaves of oak<br />

trees for feeding domestic animals, etc. People have<br />

been forced to be highly dependent on these degraded<br />

forests and so the forests have been reduced quantitatively<br />

and qualitatively. Since 1965, natural regeneration<br />

has been severely reduced while pests and diseases<br />

have increased (Fattahi, 2003).<br />

Amini et al. (2009) carried out a study on deforestation<br />

modeling and correlation between deforestation and<br />

physiographic parameters, manmade settlements and<br />

roads parameters in the Zagros forests (Armerdeh<br />

forests, Baneh, Iran) <strong>using</strong> remote sensing and geographic<br />

information system (GIS). The result of forest<br />

change detection <strong>using</strong> forest maps of 1955 and 2002<br />

showed that 4853 ha of the forest area have been<br />

reduced and 953 ha increased in this period. The Spearman<br />

correlation test and logistic regression model were<br />

used to investigate correlation between changed forests<br />

and the mentioned parameters. The result showed that<br />

there is an inverse relationship between deforestation<br />

and distance <strong>from</strong> roads. Minimum and maximum<br />

deforestation were at north and east aspects, respecttively.<br />

The result of applying logistic regression model<br />

indicated that distance <strong>from</strong> road is more effective than<br />

other parameters on deforestation in the study area.<br />

Lambin (1994) and Mas et al. (2004) mention that<br />

deforestation models are motivated by the following<br />

potential benefits:<br />

1. To provide a better understanding of how driving<br />

factors govern deforestation,<br />

2. To generate future scenarios of deforestation rates,<br />

3. To predict the location of forest clearing and,<br />

4. To support the design of policy responses to<br />

deforestation.<br />

According to Kaimowitz and Angels (1998), one way to<br />

model deforestation is to make use of empirical models.<br />

Several studies have analyzed land-use change under<br />

these approaches (Mertens and Lambin, 2000; Pontius et<br />

al., 2004; Pontius and Spencer, 2005; Rogan et al., 2008<br />

and Schneider and Pontius, 2001). Logistic regression<br />

performs binomial logistic regression, in which the input<br />

dependent variable must be binary in nature, that is, it<br />

can have only two possible values (0 and 1). Such<br />

regression analysis is usually employed in estimating a<br />

model that describes the relationship between one or<br />

more continuous independent variable(s) to the binary<br />

dependent variable. Logistic regression analysis fits the<br />

data to a logistic curve instead of the line obtained by<br />

ordinary linear regression. In addition to the prediction,<br />

logistic regression is also a useful statistical technique<br />

that helps to understand the relation between the<br />

Arekhi 16237<br />

dependent variable (change) and independent variables<br />

(causes) (Mas et al., 2004).<br />

In the particular, case of deforestation, the spatial forest<br />

change is a categorically dependent variable, which<br />

results <strong>from</strong> the interaction of several explanatory variables.<br />

Logistic regression and GIS have been demonstrated<br />

as useful tools to analyze deforestation by many<br />

authors (Echeverria et al., 2008; Etter et al., 2006c; Loza,<br />

2004; Ludeke et al., 1990; McConnell et al., 2004;<br />

Rossiter and Loza, 2008 and Van Gils and Loza, 2006).<br />

Logistic regression analysis has the advantage of<br />

taking into account several independent explanatory<br />

variables for the prediction of a categorical variable (Van<br />

Den Eeckhaut et al., 2006). In this case, the dependent<br />

variable is either change or no change that has occurred<br />

in the forests areas.<br />

Landsat MSS, TM and ETM + data have been broadly<br />

employed in studies toward the determination of LU/LC<br />

since 1972, the starting year of Landsat program, mainly<br />

in forest and agriculture areas (Campbell, 2007). The rich<br />

archive and spectral resolution of satellite images are the<br />

most important reasons for their use.<br />

The aim of change detection process is to recognize<br />

LU/LC between two or more periods of time (Muttitanon<br />

and Tiipathi, 2005). There are many techniques<br />

developed in literature <strong>using</strong> post classification compareson,<br />

conventional image differentiation, image ratio,<br />

image regression and manual on-screen digitization of<br />

change principal components analysis and multi date<br />

image classification (Lu et al., 2005). A variety of studies<br />

have addressed that post-classification comparison was<br />

found to be the most accurate procedure and presented<br />

the advantage of indicating the nature of the changes<br />

(Mas, 1999; Yuan et al., 2005). In this study, change<br />

detection comparison technique (at the pixel level) (that<br />

is, maximum likelihood method) was applied to the LU/LC<br />

maps derived <strong>from</strong> satellite imagery.<br />

The main objective of this study was to analyze and<br />

predict processes of forest conversion in the Zagros<br />

forests in western Iran. In order to reach the goal, the<br />

following specific objectives were considered:<br />

1. To determine and quantify forest changes that<br />

occurred in the Zagros forests <strong>from</strong> 1988 to 2007.<br />

2. To identify and analyze the most significant<br />

explanatory variables that lead to forest conversion in the<br />

Zagros forests.<br />

3. To establish a predictive model based on logistic<br />

regression and its validation.<br />

MATERIALS AND METHODS<br />

Study area<br />

The study area is situated in the province of Ilam, west of Iran<br />

between 33°35´ and 33°43´ latitude and between 46°17´ and<br />

47°13´ longitude (Figure 1) and covers about 225,593 ha. The main<br />

species of these forests consists; Quercus brantii, Quercus


16238 Afr. J. Biotechnol.<br />

Figure 1. Location of study area.<br />

infectoria and Quercus libani, the dominant species is Q. brantii. It<br />

covers a diversity of elevation, slope, population and land-use, etc.<br />

Beside the undamaged natural environment in some parts, a major<br />

part of the area has been changed by agriculture and grazing<br />

activities (Fattahi, 2003).<br />

Land-cover maps<br />

Multi-temporal Landsat satellite images <strong>from</strong> April 01, 1988 (Path<br />

167, Row 37), March 20, 2001 and May 24, 2007, were obtained<br />

<strong>from</strong> the Global Land Cover Facility (http://www.landcover.org),<br />

University of Maryland. The dates of these three images are chosen<br />

to be as closely as possible in the same vegetation season. The<br />

resolutions of all images are adjusted <strong>from</strong> 28.5 ×28.5 m to 30 × 30<br />

m. All visible and infrared bands (except the thermal infrared band)<br />

were used for the purpose of classification. Remote sensing image<br />

processing is performed <strong>using</strong> IDRISI Andes 15.0.<br />

The 1:25,000 digital topographic maps of the national<br />

cartographic Center of Iran have been used for geo-referencing of<br />

earlier mentioned three images. A digital elevation model (DEM)<br />

generated <strong>from</strong> 20 m contour lines are used to create slope and<br />

elevation maps. Digital elevation model (DEM) is produced <strong>from</strong> the<br />

standard topographic maps with the scale of 1:25,000. DEM is<br />

created by <strong>using</strong> ArcGIS 9.2 GIS software. Road networks and<br />

human settlements are manually digitized <strong>using</strong> ArcGIS 9.2 at the<br />

same scale. Pixel dimensions of all maps are in 30×30 m<br />

resolution.<br />

Pre-processing<br />

Landsat 2007 image is geo-referenced (universal transver<br />

mercator-UTM (Zone 38N), WGS84) to the maps of DEM, road<br />

networks, and human settlements, with an RMS error of less than 5<br />

m by <strong>using</strong> nearest neighborhood resampling method. The other<br />

two Landsat images are then geo-referenced to the 2007 image<br />

(image to image registration), with an error of less than 10 m. The<br />

radiometric corrections and systematic errors are removed <strong>from</strong> the<br />

data set providers.<br />

The model discussed in this study follows four sequential steps:<br />

(1) Elaboration of maps of deforestation obtained by overlaying<br />

maps of forest-cover <strong>from</strong> more than one point in time, (2)<br />

quantification of the relationships between deforestation and the<br />

causes (3) statistical selection of the most significant explanatory<br />

variables, (4) prediction of future deforestation in a business-as-


usual way.<br />

METHODS<br />

Figure 2. Forest and non-forest map of 1988.<br />

IDRISI Andes 15.0 was used to determine deforestation rates <strong>using</strong><br />

three different land-use/land-cover maps <strong>from</strong> 1988, 2001 and<br />

2007. The land-use/land-cover map of 1988 is produced by<br />

supervised maximum likelihood classification <strong>using</strong> training sites to<br />

identify forest, river, cropland, rangeland, barren land and<br />

settlement areas. The same methodology is applied to produce the<br />

land-use/land-cover maps of 2001 and 2007. Then, the classified<br />

land-use/land-cover maps are reclassified into two categories as<br />

forest and non-forest. Only forest areas are reclassified as "forest".<br />

While river, cropland, rangeland, barrenland and settlement areas<br />

are reclassified as "non-forest". The change <strong>from</strong> forest to nonforest<br />

is classified as deforestation. Finally, these maps are used to<br />

calculate the area of each land-use/land-cover type at each time<br />

period and to measure the deforestation rate <strong>from</strong> 1988 to 2007.<br />

Classification accuracy is evaluated by calculating overall accuracy<br />

and Kappa coefficient <strong>using</strong> an independent sample of 116<br />

ground control points (GCPs) obtained <strong>from</strong> field work. Areas of<br />

forest are calculated for the three dates and then annual rates of<br />

forest clearing are estimated. As a following step, images are overlaid<br />

in order to produce a digital map of deforestation that represents<br />

changes in forest cover. Therefore, the deforestation maps<br />

present only two classes: forest persistence (forest in both dates)<br />

and deforestation coded 0 and 1, respectively (Figures 5 and 6).<br />

The drivers<br />

Arekhi 16239<br />

The first step for deforestation modelling is to identify and collect<br />

information about factors that play a major role in the deforestation<br />

occurrence. An attempt is made to determine the relationship<br />

between deforestation, and environmental and socioeconomic<br />

factors, which are considered as priori elements that could<br />

influence deforestation such as distance <strong>from</strong> settlements, distance<br />

<strong>from</strong> roads, distance <strong>from</strong> forest edge, elevation, slope and forest<br />

fragmentation index. All these variables are integrated in a GIS and<br />

co-registered geometrically with the forest-cover-change map<br />

derived <strong>from</strong> the analysis of remote sensing images. Several spatial<br />

explanatory variables describing potential proximate causes of<br />

deforestation are generated as follow:<br />

1. Elevation: A digital elevation model (DEM) is constructed <strong>from</strong><br />

the contour lines, where the lines are digitized at the 1:25,000<br />

scale, at intervals of 20 m. The resulting elevation map is binned<br />

with 200 m intervals.<br />

2. Slope: Slope is another important factor that is generated <strong>from</strong><br />

elevation <strong>using</strong> ArcGIS 9.2.<br />

3. Distance <strong>from</strong> forest edge: It is calculated as a series of onepixel-wide<br />

buffers expanding <strong>from</strong> all interfaces between pixels<br />

classified as forest and non-forest. To remove the influence on this<br />

distance, calculations of isolated pixels are classified as forest or<br />

non-forest, and the land-cover map is first smoothed <strong>using</strong> a 3×3


16240 Afr. J. Biotechnol.<br />

pixel low pass filter. For this smoothing, the most frequently<br />

occurring class in the window is assigned to the central pixel of a<br />

moving window.<br />

4. Distance to the nearest road: This variable is calculated as a<br />

series of buffers of 100 m expanding <strong>from</strong> each road segment. Most<br />

of the roads in the study area are gravel roads with quality largely<br />

dependent on the maintenance efforts and it is highly variable in<br />

time. Each road is, therefore, treated as equally suitable for<br />

transport of goods and people.<br />

5. Distance to the nearest settlement: It is calculated as a series of<br />

buffers of 100 m, expanding <strong>from</strong> each center. Only the officially<br />

registered village, district and town centers are taken into account.<br />

The following procedure is used to obtain the variable distances for<br />

Steps 4 and 5.<br />

a. Road networks and human settlements shape files were<br />

imported.<br />

b. Raster files were created <strong>from</strong> each of the vector files.<br />

c. The Operator DISTANCE was applied.<br />

6. Forest fragmentation index: In this study, fragmentation index is<br />

estimated <strong>using</strong> Matheron method (Matheron, 1970). Matheron<br />

method, calculated in 3×3 pixels windows, is defined as:<br />

M<br />

N<br />

N<br />

F<br />

F<br />

*<br />

NF<br />

N<br />

Where, NF-NF is the number of boundaries between forest and nonforest<br />

pixels, Nf is the number of forest pixels and N is the total<br />

number of pixels. The numerator measures the number of pairs of<br />

adjacent pixels classified as forest and non-forest (that is, the<br />

length of the perimeter line of forest pixels) and the denominator<br />

normalizes this count by the size of the forest and entire area<br />

(Mertens and Lambin, 1997).<br />

Logistic regression model (LRM)<br />

Forest conversion is modelled and analyzed <strong>using</strong> logistic<br />

regression model (LRM) in IDRISI Andes 15.0. The purpose of<br />

modelling was (i) to assess the relative signification of six<br />

explanatory variables on forest change during the period 1988 to<br />

2007; and (ii) to predict probability of deforestation for future.<br />

LRM is a variation of ordinary regression which is used when the<br />

dependent (response) variable is a dichotomous variable.<br />

In this study, as mentioned before, the dependent variable is a<br />

binary presence or absence event, where 1= forest change and 0=<br />

no change, for the period 1988 to 2007. The logistic function gives<br />

the probability of forest change as a function of the explanatory<br />

variables. In other words, the probability of forest change for each<br />

pixel is a function of the values that the other variables have for the<br />

same pixel. According to Schneider and Pointius (2001) the<br />

function is a monotonic curvilinear response bounded between 0<br />

and 1, given by a logistic function of the form:<br />

(1)<br />

Where, p is the probability of forest loss in the cell, E(Y) the<br />

expected value of the binary dependent variable Y, β0 is a constant<br />

to be estimated, βi‟s are coefficients to be estimated for each<br />

independent variable Xi. The logistic function can be transformed<br />

into a linear response with the transformation:<br />

Hence:<br />

The transformation (Equation 2) <strong>from</strong> the curvilinear response<br />

(Equation 1) to a linear function (Equation 3) is called a logit or<br />

logistic transformation. The transformed function allows linear<br />

regression to estimate each βi. Since each of the observations is a<br />

pixel, the final result is a probability score (p) for each pixel.<br />

In LRM, the significance of the coefficients βi is tested with the<br />

Wald test, which is obtained by comparing the maximum likelihood<br />

estimate of every βi with its estimated standard error (Hosmer and<br />

Lemeshow, 1989; Eastman, 2006). It is the coefficient divided by its<br />

standard error. Thus, if the relative error is high, the Wald statistic is<br />

small. This gives an idea of the significance of each predictor: the<br />

greater the absolute value, the more significant. Note that the sign<br />

of the Wald statistic is the same as that of the coefficient, and thus<br />

gives the direction of the effect: increase or decrease in probability<br />

due to the predictor.<br />

Accordinge to Ayalew and Yamagishi (2004), in order to<br />

appropriately interpret the meanings of Equation 1, one has to use<br />

the coefficients as a power to the natural log(e). The result<br />

represents the odds ratio or the probability that an event will occur<br />

divided by the probability that it fails to do so. If the coefficient is<br />

positive, its transformation to log value will be greater than one,<br />

meaning that the event is more likely to occur. If it is negative, then<br />

the transformed log value will be less than one and the odds of the<br />

event occurring decrease. A coefficient of 0 has a transformed log<br />

value of 1, and it does not change the odds one way or the other.<br />

For a positive coefficient, the probability plotted against the values<br />

of an independent variable follows an S-shaped curve. A mirror<br />

image will be obtained for a negative coefficient (Ayalew et al.,<br />

2005).<br />

Calibration of the Model<br />

To calibrate the LRM, the explanatory variables are incorporated in<br />

the IDRISI‟s LRM as independent variables. The forest change for<br />

the period 1988 to 2001 is incorporated as the dependent variable.<br />

The stepwise method is used to select the best set of predictor<br />

variables since the study considered 6 different predictor sets.<br />

Finally, Van Gils and Loza (2006) methodology is used to select the<br />

best-fitted model with the minimum amount of predictors measured<br />

by means of the Akaike Information Criterion (AIC) index. The<br />

smaller the AIC is, the better the fit of the model. The results are the<br />

regression equation of the best-fitted predictors set and a map of<br />

probability of deforestation.<br />

Prediction of the model<br />

The prediction for forest change between the year 2001 and the<br />

year 2007 is performed <strong>using</strong> the obtained probabilities of<br />

deforestation for the year 2001. For the new prediction, the dynamic<br />

variables such as distance <strong>from</strong> forest edge, distance <strong>from</strong> roads<br />

and fragmentation index are changed as long as they were in the<br />

year 2001. The variables, distance <strong>from</strong> settlements, elevation and<br />

slope remained the same. The result is a new map of probability of<br />

forest change for the year 2007.<br />

(2)<br />

(3)


Model validation<br />

Figure 3. Forest and non-forest map of 2001.<br />

The observed forest change map of 2007 is used to assess the<br />

accuracy of probability of forest change with the relative operation<br />

characteristic (ROC) curve, which is an effective and widely used<br />

method for evaluating the discriminating power of a statistical model<br />

(Hu and Lo, 2007; Pontius and Schneider, 2001). Eastman (2006)<br />

also mentions that ROC can be used to determine how well a<br />

continuous surface predicts the locations given the distribution of a<br />

Boolean variable (in this study, forest change is the Boolean<br />

variable). A ROC curve is a graph of the true positive and false<br />

positives fractions. The ROC works for two or more land types. If a<br />

grid cell is simulated as change in a scenario, it is a „positive‟.<br />

Therefore, a „true-positive‟ is a cell which is categorized as change<br />

in both actual and the modeled scenario. Conversely, a „falsepositive‟<br />

is a cell that is categorized as non-change in reality and as<br />

change in the modeled scenario. ROC plots the rate of truepositives<br />

on the vertical axis versus the rate of false-positives on<br />

the horizontal axis. If the sequence of the suitability values matches<br />

perfectly the sequence in which real land-cover change has<br />

occurred, then ROC equal to 1. As model performance improves,<br />

the curve moves towards the upper left corner and the area under<br />

ROC increases accordingly.<br />

RESULTS<br />

Accuracy assessment was performed for 1988, 2001 and<br />

2007 LU/LC maps (forest/non-forest). The overall<br />

Arekhi 16241<br />

accuracy of the classified maps for the years 1998, 2001<br />

and 2007 ranged <strong>from</strong> 83 to 87%, and Kappa indices<br />

varied <strong>from</strong> 0.71 and 0.73. Figures 2, 3 and 4 display the<br />

1988, 2001 and 2007 land-cover maps (forest/non-forest)<br />

created for the study area, respectively. These images<br />

are then overlaid in order to generate the digital forest<br />

change detection maps for two intervals; namely, 1988 to<br />

2001 and 2001 to 2007 (Figures 5 and 6). The results of<br />

forest change detection in the Zagros forests show that<br />

28.2% of primary forest has been lost <strong>from</strong> 1988 to 2007.<br />

This study selected the set predictor Step 6 as the best<br />

combination to be used in the prediction (Table 1). The<br />

selection procedure is performed as follows. According to<br />

Ayalew and Yamagishi (2005), a key starting point could<br />

be the model chi-square, whose value provides the usual<br />

significance test for logistic regression. It is a difference<br />

between −2lnL (L=likelihood) for the best-fitting model<br />

(predictor set) and −2lnL0 for the null hypothesis in which<br />

all the coefficients are set to 0. The value measures the<br />

improvement in fit that the independent variables brought<br />

into the regression. In this study, the high value chisquare<br />

(for the predictor set Step 6) indicates that the<br />

occurrence of forest change is far less likely under the<br />

null hypothesis (without the forest conversion influencing<br />

parameters) than the full regression model (where the


16242 Afr. J. Biotechnol.<br />

Figure 4. Forest and non-forest map of 2007.<br />

parameters are included). The goodness of fit is an<br />

alternative to Chi-square for assessing the significance of<br />

LRM. It is calculated based on the difference between the<br />

observed and the predicted values of the dependent<br />

variable. The smaller this statistic is, the better fit it<br />

indicates. Model step 6 has a value of 359,634, which is<br />

the smallest Goodness of fit statistic among the model<br />

sets. The pseudo R-square value, which can be<br />

calculated <strong>from</strong> 1− (ln L/ln L0), indicates how the logit<br />

model fits the dataset (Menard, 1995). Thus, pseudo Rsquare<br />

equal to 1 indicates a perfect fit, whereas 0 shows<br />

no relationship. When a pseudo R-square is greater than<br />

0.2, it shows a relatively good fit (Clark and Hosking,<br />

1986; Ayalew et al., 2005). The pseudo R-square of the<br />

Step 6 predictor set is 0.23. Under ROC, the Step 6<br />

predictor set obtained an accuracy of 0.96% and<br />

provided the smallest AIC index making it the best-fitted<br />

predictor set (Table 2). Regression equation best-fitted<br />

Step 6 predictor set.<br />

Linear probability (logit) =1.95<br />

-0.36* Distance <strong>from</strong> roads log<br />

-0.45* Distance <strong>from</strong> settlements log<br />

-0.31* Distance <strong>from</strong> forest edge log<br />

0.23* Fragmentation index<br />

-0.35* Slope<br />

-0.52* Elevation<br />

The relative contribution of the explanatory variables can<br />

be assessed <strong>using</strong> the corresponding coefficients in the<br />

LRM. According to Eastman (2006), the intercept can be<br />

thought of as the value for the dependent variable when<br />

each independent variable takes on a value of zero. The<br />

coefficients indicate the effects of each of the explanatory<br />

variables on the dependent variable.<br />

Figures 7 and 8 show the results of the calibration and


Figure 5. Cross 1988-2001.<br />

the prediction of the LRM. The color in the figures<br />

indicates the degree of probability of deforestation. Areas<br />

in dark blue show high probability for forest conversion,<br />

while, areas in other colors have decreasing probability<br />

for deforestation. Figure 9 illustrates the real change<br />

occurred for the period 2001 to 2007, areas in black are<br />

areas of changes. Figure 10 illustrates the ROC curve for<br />

the LRM. The Area under the ROC Curve is 0.961.<br />

DISCUSSION<br />

There may be many driving factors of forest conversion,<br />

and they may vary <strong>from</strong> place to place. In this case study,<br />

selected spatial variables comprise a considerable share<br />

of the factors driving forest changes. In particular, the<br />

accessibility variables seem to be more important than<br />

the topographical ones. Many of these factors have been<br />

found to be important in other areas. For example,<br />

Merten and Lambin (1997) identified proximity to road,<br />

Arekhi 16243<br />

town and forest/non-forest edge as important drivers of<br />

forest change in southern Cameroon. Elevation and<br />

proximity to road are highlighted as important factors of<br />

forest change in the lowlands of Sumatra, Indonesia<br />

(Linkie et al., 2004). Elevation, slope, proximity to road,<br />

settlement and proximity to forest/non-forest edge are the<br />

key factors of forest change in southeast Mexico (Mas et<br />

al., 2004). The modelling of forest conversion considered<br />

six explanatory variables: Distance <strong>from</strong> forest edge,<br />

distance <strong>from</strong> roads, distance <strong>from</strong> settlements,<br />

elevation, slope and fragmentation index. In the LRM<br />

analysis, six predictor sets are compared. The best fitted<br />

predictor set is a combination of all the variables<br />

incorporated into the model. For this combination, the<br />

AUC is 96% and the AIC index is the lowest for the tested<br />

predictor sets.<br />

Among continuous variables, distance <strong>from</strong> settlements<br />

is the best single predictor for forest change (1988 to<br />

2007), with a β value of -0.45. This means that the<br />

probability of forest change decreases in direct proportion


16244 Afr. J. Biotechnol.<br />

Figure 6. Cross 2001-2007.<br />

to the increase in distance <strong>from</strong> the borders. In other<br />

words, the model assigns higher values of probability of<br />

change to areas, which are closer to the forest borders.<br />

Distance <strong>from</strong> roads and distance <strong>from</strong> forest edge have<br />

the nearly same negative value (β= -0.36; β= -0.31). The<br />

model assigns the similar significance to these two<br />

variables. The negative value means that the probability<br />

of forest change decreases in direct proportion to the<br />

increase in distance <strong>from</strong> roads and forest edge. In other<br />

words, the model assigns higher values of probability of<br />

change to areas which are closer to roads and forest<br />

edge. Finally, forest change has positive relation with<br />

fragmentation index (β=+0.23). This means that<br />

fragmented forest is degraded more than protected area.<br />

Many studies have attributed road infrastructure to one<br />

main cause of deforestation. Geist and Lambin (2002)<br />

and Krutilla et al. (1995) argued that the construction of<br />

roads requires clearing of vegetation that leads to<br />

deforestation. Greater access to forests and markets will<br />

accelerate the deforestation.<br />

The variables, distance <strong>from</strong> settlements and distance<br />

<strong>from</strong> roads are significant factor for forest conversion in<br />

this study, as well as mentioned by other studies<br />

(Echeverria et al., 2008; Etter et al., 2006a, b; Geist and<br />

Lambin, 2001; Loza, 2004; Vanclay et al., 1999), In the<br />

particular case of the deforestation in the Zagros forests,<br />

it is believed that first people settle land reached beyond<br />

existing roads and then they develop roads to reach the<br />

already taken lands. However, this is difficult to verify with<br />

the data and the analysis provided by this study.<br />

Meanwhile, among categorical variables, elevation is<br />

the best single predictor for forest change (1988 to 2007),<br />

with a β value of -0.52. This means that the probability of<br />

forest change decreases in direct proportion to the<br />

increase in elevation <strong>from</strong> the lower elevations. In other<br />

words, the model assigns higher values of probability of<br />

change to areas, which are located in lower altitudes (in<br />

other words, more accessible areas). Finally, slope also<br />

has good negative association (β = -0.35) with forest<br />

change. It means with increase in slope, forest change<br />

decreases due to decreasing accessibility to that. The<br />

conversion. The topography of Loza‟s study area


Table 1. Coefficients of logistic regression <strong>using</strong> 6 sets of explanatory variables.<br />

Variable<br />

Set 1 Set 2<br />

Coefficient<br />

Set 3 Set 4 Set 5 Set 6<br />

Intercept 0.39 1.01 1.21 1.80 2.23 1.95<br />

Distance <strong>from</strong> roads -0.60 -0.52 -0.38 -0.29 -0.30 -0.36<br />

Distance <strong>from</strong> settlements -0.57 -0.43 -0.40 -0.41 -0.45<br />

Distance <strong>from</strong> forest edge -0.38 -0.31 -0.30 -0.31<br />

Fragmentation index 0.29 0.25 0.23<br />

Slope -0.44 -0.35<br />

Elevation -0.52<br />

Table 2. Other statistics of logistic regression <strong>using</strong> 6 sets of explanatory variables<br />

Arekhi 16245<br />

Statistic Set 1 Set 2 Set 3 Set 4 Set 5 Set 6<br />

Total number of pixel 2,507,925 2,507,925 2,507,925 2,507,925 2,507,925 2,507,925<br />

−2lnL (L=likelihood) 241,734 230,936 229,930 219,983 214,249 201,426<br />

−2ln L0 435,731 430,328 356,701 383,941 361,618 340,231<br />

Model chi square 51,928 53,765 55,321 570,551 589,318 59,601<br />

Goodness of fit 401,369 400,187 391,442 376,964 368,980 359,634<br />

Pseudo R-square 0.15 0.18 0.21 0.22 0.22 0.23<br />

AUC 0.76 0.79 0.83 0.87 0.91 0.96<br />

Odds ratio 4.21 4.37 4.41 4.46 4.30 5.05<br />

AIC 247,651 238,756 220,908 217,781 215,645 201,341<br />

Figure 7. Map of probabilities of deforestation obtained by LRM (calibration 2001).


16246 Afr. J. Biotechnol.<br />

Figure 8. Map of probabilities of deforestation obtained by LRM (Prediction 2007).<br />

presents mostly hills (lower altitude) and flat areas.<br />

The involvement of some variables such as land tenure<br />

status, and other socio-economic data (level of income,<br />

level of education), which have contributed to<br />

deforestation might be incorporated in the model. Zagros<br />

forests have threats such as the construction of a road<br />

across the area, population density and agroforestry. The<br />

aim of this research is to predict probabilities of forest<br />

conversion. However, areas of change (not only<br />

probabilities) can be predicted by incorporation of<br />

methods such as Markov chains, Geomod and cellular<br />

automata. While this study considered only two<br />

categories, “forest and disturbed forest”, further studies<br />

could model additional categories of land-cover.<br />

Conclusion<br />

The identification of the areas vulnerable to forest<br />

changes is fundamental in the Zagros forests and has<br />

important implications for biodiversity conservation in the<br />

region. One of the most important applications would be<br />

to relate the spatial patterns of forest changes to the<br />

spatial distribution of species. From a protected area<br />

management perspective, the prediction maps of forest<br />

change patterns can help protected area managers to<br />

identify places, where conservation and forest<br />

management efforts should be focused. At a larger scale,<br />

the prediction of forest change patterns can aid long-term<br />

sustainable forest management. Policy implication of the<br />

result model prediction is that the government should<br />

take more attention to the population problem and have<br />

to create non-agricultural sectors jobs in order to reduce<br />

pressure on forest, especially at district which will face<br />

serious deforestation. This study investigate the<br />

conversion of forest <strong>using</strong> remote sensing, GIS and<br />

logistic regression model in the Zagros forests of west of<br />

Iran. The LRM is parameterized to simulate the<br />

conversion of forest in the near future. It is shown that the<br />

utility of a combination of statistical modeling approach


Figure 9. Forest change year 2007(1=change; 0= No change).<br />

True Positive(%)<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

0<br />

3<br />

9<br />

21<br />

32<br />

44<br />

False Positive(%)<br />

Figure 10. Predictive performance assessment LRM (AUC/ROC).<br />

55<br />

66<br />

78<br />

89<br />

100<br />

AUC/ROC = 96%<br />

True positive(%)<br />

False positive(%)<br />

Arekhi 16247


16248 Afr. J. Biotechnol.<br />

and spatial analysis is necessary in order to analyze and<br />

predict deforestation. Distance <strong>from</strong> forest settlements,<br />

distance <strong>from</strong> roads, distance <strong>from</strong> forest edge,<br />

fragmentation index, elevation and slope are found to be<br />

the important variables in the model for explaining the<br />

pattern of deforestation observed in the Zagros forests.<br />

REFERENCES<br />

Amini MR, Shataee S, Moaieri MH, Ghazanfari H (2009). Deforestation<br />

modeling and investigation on related physiographic and human<br />

factors <strong>using</strong> satellite images and GIS (Case study: Armerdeh forests<br />

of Baneh), Iranian J. For. Poplar Res. 16(3): 432-443.<br />

Ayalew L, Yamagishi H (2004). The application of GIS-based logistic<br />

regression for landslide susceptibility mapping in the Kakuda-Yahiko<br />

Mountains; Central Jpn. Geomorphol. 65:15-31.<br />

Ayalew L, Yamagisehi H, Marui H, Kanno T (2005). Landslides in Sado<br />

Island of Japan: Part II. GIS-based susceptibility mapping with<br />

comparisons of results <strong>from</strong> two methods and verifications.<br />

Engineering Geol. 81: 432-445.<br />

Blondel J, Aronson J (1995). Biodiversity and ecosystem function in the<br />

Mediterranean basin: Human and nonhuman determinants. pp 43-<br />

119. In: Davis, G.W. & Richardson, D.M. (eds).<br />

Blondel J, Aronson J (1999). Biology and wildlife of the mediterranean<br />

region. Oxford Univ. Press:Oxford.<br />

Blondel J (2006). The design of Mediterranean landscapes: a millennial<br />

story of humans and ecological systems during the historic period.<br />

Hum. Ecol. 34: 713–729.<br />

Campbell JB (2007). Introduction to Remote Sensing, Fourth edition,<br />

The Guilford Press, New York, USA,<br />

Clark WA, Hosking PL (1986). Statistical Methods for Geographers,<br />

John Wiley and Sons, New York. p. 518<br />

Covas R, Blondel J (1998). Biogeography and history of the<br />

Mediterranean bird fauna. Ibis, Centre d„Ecologie Fonctionnelle et<br />

Evolutive. 140: 395–407.<br />

Eastman JR (2006). IDRISI 15 Andes. Guide to GIS and image<br />

processing Clark Univ. Worcester; MA 01610 - 1477 USA.<br />

Echeverria C, Coomes DA, Hall M, Newton AC (2008). Spatially explicit<br />

models to analyze forest loss and fragmentation between 1976 and<br />

2020 in southern Chile. Ecol. Modelling. 212: 439-449.<br />

Etter A,McAlpine C, Phinn S, Pullar D, Possingham H (2006a).<br />

Unplanned land clearing of Colombian rainforests: Spreading like<br />

disease? Landscape and Urban Planning. 77: 240-254.<br />

Etter A, McAlpine C, Pullar D, Possingham H (2006b). Modelling the<br />

conversion of Colombian lowland ecosystems since 1940: Drivers;<br />

patterns and rates. J. Environ. Manage. 79: 74-87.<br />

Etter A, McAlpine C, Wilson K, Phinn S, Possingham H (2006c).<br />

Regional patterns of agricultural land use and deforestation in<br />

Colombia. Agric. Ecosys. & Environ. 114: 369 386.<br />

Falcucci AL, Maiorano M, Boitani L (2007). Changes in landuse/landcover<br />

patterns in Italy and their implications for biodiversity<br />

conservation. Landscape Ecol. 22: 617–631.<br />

FAO (Food and Agriculture Organization of the United Nations) (2005).<br />

State of the World‟s forests. FAO, Rome.<br />

Fattahi M (2003). Forest management trends in the Zagross region of<br />

Iran.XII World forestry Congress, Quebec City. Canada, 1-5(0118-<br />

B1).<br />

Geist HJ, Lambin EF (2001). What drives tropical deforestation? A<br />

meta-analysis of proximate and underlying causes based on subnational<br />

case study evidence. LUCC Report Series No. 4. CIACO;<br />

Louvain-la-Neuve.<br />

Geist, HJ, Lambin EF (2002). Proximate causes and underlying driving<br />

force of tropical deforestation. Bioscience. 52(2): 143-150.<br />

Haines-Young R (2009). Land Use and Biodiversity Relationships, Land<br />

Use Policy. 26(1): 178- 186.<br />

Hosmer DW, Lemeshow S (1989). Applied Logistic Regression. New<br />

York: Wiley.<br />

Hu Z, Lo CP (2007). Modeling urban growth in Atlanta <strong>using</strong> logistic<br />

regression. Computers; Environ. Urban Systems. 31:667-688.<br />

Kaimowitz D, Angelsen A (1998). Economic Models of Tropical<br />

Deforestation; a review. Center for Int. Forest. Res. C1FOR. Bogor<br />

Indonesia.<br />

Krutilla K, William FH, Doug Barnes (1995). Periurban deforestation in<br />

developing countries. For. Ecol. Manage. 74(2): 181-195.<br />

Lambin EF (1994). Modelling deforestation processes; a review. EUR<br />

15744 EN; TREES series B: Res. Report No. 1. Joint Res. Centre,<br />

Inst. for Remote Sensing Appl. European Space Agency;<br />

Luxembourg; Office for Official Pub. European Community. P. 128.<br />

Lavorel S, Touzard B, Lebreton J-D, Clément B (1998). Identifying<br />

functional groups for response to disturbance in an abandoned<br />

pasture. Acta Oecol. 19: 227–240.<br />

Linkie M, Smith RJ, Leader-Williams N (2004). Mapping and predicting<br />

deforestation patterns in the lowlands of Sumatra. Biodivers.<br />

Conserv. 13: 1809-1818.<br />

Loza AV (2004). Spatial logistic model for tropical forest conversion : a<br />

case study of Carrasco province; 1986 - 2002; Bolivia. In: ITC;<br />

Enschede. p 74.<br />

Ludeke AK, Maggio RC, Reid LM (1990). An analysis of anthropogenic<br />

deforestation <strong>using</strong> logistic regression and GIS. J. Environ. Manage.<br />

31: 247-259.<br />

Mas JF (1999). Monitoring land-cover changes: a comparison of change<br />

detection techniques. Int. J. Remote Sensing. 20(1): 139–152.<br />

Mas JF, Puig H, Palacio JL, Lopez AS (2004). Modelling deforestation<br />

<strong>using</strong> GIS and artificial neural networks. Environ. Model. Software.<br />

19: 461-471.<br />

Matheron G (1970). The Theory of Regionalised Variables and its<br />

Applications. Les Cahiers du Centre de Morphologie Mathématique,<br />

Vol. 5, Ecole des Mines de Paris, Fontainebleau, P. 212.<br />

McConnell WJ, Sweeney SP, Mulley B (2004). Physical and social<br />

access to land: spatio temporal patterns of agricultural expansion in<br />

Madagascar. Agric. Ecosystems & Environ. 101:171-184.<br />

Menard Scott (1995). Applied Logistic Regression Analysis. Sage Pub.<br />

Series: Quantitative Appl. Social Sci. No. 106.<br />

Mertens B, Lambin EF (2000). Land-Cover-Change trajectories in<br />

Southern Cameroon. Annals of the Assoc. Am. Geographers. 90:<br />

467-494.<br />

Mertens B, Lambin EF (1997). Spatial modeling of tropical deforestation<br />

in southern Cameroon: spatial disaggregation of diverse<br />

deforestation processes. Appl. Geog. 17: 143-162.<br />

Muttitanon W, Tiıpathi NK, (2005). Land use/land cover changes in the<br />

coastal zone of Ban Don Bay, Thailand <strong>using</strong> Landsat 5 TM data.<br />

International J. Remote Sensing. 26 (11): 2311- 2323.<br />

Myers N, Mittermeier RA, Mittermeier CG (2000). Biodiversity hotspots<br />

for conservation priorities. Nature. 403: 853–858.<br />

Pontius RG, Schneider LC. (2001). Land-cover change model validation<br />

by an ROC method for the Ipswich watershed; Massachusetts; USA.<br />

Agric. Ecosystems & Environ. 85: 239-248.<br />

Pontius RG, Spencer J (2005). Uncertainty in extrapolations of<br />

predictive landchange models. Environment and Planning B-Planning<br />

& Design. 32: 211-23<br />

Pontius RG, Shusas E, McEachern M (2004). Detecting important<br />

categorical land changes while accounting for persistence. Agric.<br />

Ecosystems & Environ. 101: 251-268.<br />

Rogan J, Franklin J, Stow D, Miller J, Woodcock C, Roberts D (2008).<br />

Mapping land-cover modifications over large areas: A comparison of<br />

machine learning algorithms. Remote Sensing of Environ. 112: 2272-<br />

2283.<br />

Rossiter DG, Loza A (2008). Technical Note: Analyzing land cover<br />

change with logistic regression in R. Technical Report ITC;<br />

Enschede; NL. Version 2.01; 19-July- 2008. p. 69 First version April<br />

2004.<br />

Sala, OE, Chapin FS, Armesto JJ, Berlow R, Bloomfield J, Dirzo R,<br />

Huber- Sanwald E, Huenneke LF, Jackson RB, Kinzig A, Leemans R,<br />

Lodge D, Mooney HA, Oesterheld M, Poff NL, Sykes MT, Walker BH,<br />

Walker M, Wall DH (2000). Global biodiversity scenarios for the year<br />

2100. Science. 287: 1770–1774.<br />

Schneider LC, Pontius RG (2001). Modeling land-use change in the<br />

Ipswich watershed; Massachusetts; USA. Agriculture; Ecosystems &<br />

Environ. 85:83-94.<br />

Van Den Eeckhaut M, Vanwalleghem T, Poesen J, Govers G,<br />

Verstraeten G, Vandekerckhove L (2006). Prediction of landslide


susceptibility <strong>using</strong> rare events logistic regression: A case-study in<br />

the Flemish Ardennes. Belgium. Geomorphology. 76: 392-410.<br />

Van Gils H, Loza AV (2006). What drives conversion of tropical forest<br />

in Carrasco province, Bolivia. Ambio: j. human environ. 35: 81-85.<br />

Vanclay JK, Kaimowitz D, Puntodewo A, Mendez P (1999). Spatially<br />

explicit model of deforestation in Bolivia. Data Manage.d Modelling<br />

<strong>using</strong> Remote Sensing and GIS for Tropical For. Land Inventory.<br />

Rodeo; Jakarta. 82: 371-373.<br />

Vitousek PM (1994). Beyond global warming: ecology and global<br />

change. Ecology 1994. 75: 1861-1876.<br />

Walker BH, Walker M, Wall DH (2000). Global biodiversity scenarios for<br />

the year 2100. Science. 287: 1770-1774.<br />

Arekhi 16249<br />

Vallejo V.R, Aronson J, Pausas JG, Cortina J (2005). Restoration of<br />

Mediterranean woodlands. In an Andel J, Aronson J (Eds)<br />

Restoration Ecol. <strong>from</strong> a European Perspective. Blackwell Sci. 193-<br />

207.<br />

Yuan F, Sawaya KE, Loeffelholz BC, Bauer ME (2005). Land cover<br />

classification and change analysis of the Twin Cities (Minnesota)<br />

metropolitan areas by multitemporal Landsat remote sensing.<br />

Remote sensing of Environ. 98: 317-328.


African Journal of Biotechnology Vol. 10(72), pp. 16250-16259, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1202<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Differential response to water deficit stress in alfalfa<br />

(Medicago sativa) cultivars: Growth, water relations,<br />

osmolyte accumulation and lipid peroxidation<br />

Inès Slama, Selma Tayachi, Asma Jdey, Aida Rouached and Chedly Abdelly*<br />

Laboratoire des Plantes Extrêmophiles, BP 901, Centre de Biotechnologie, Technopole de Borj Cédria, Hammam-Lif<br />

2050, Tunisia.<br />

Accepted 5 August, 2011<br />

The present study was fixed as objective to compare the response to water deficit (33% of field<br />

capacity, FC) stress of eight cultivars of Medicago sativa, originating <strong>from</strong> the Mediterranean basin.<br />

Comparison was performed on some key parameters such as growth, relative water content, leaf water<br />

potential, MDA tissue content, electrolyte leakage and proline and soluble sugar tissue concentrations.<br />

In all cultivars, water deficit stress reduced the whole plant growth, increased the root/shoot DW ratio<br />

and led to a significant decrease in leaf relative water content and leaf water potential. In water-stressed<br />

plants and for the majority of cultivars, proline and soluble sugar concentrations increased<br />

significantly. The Tamantit cultivar originating <strong>from</strong> Algeria showed the better tolerance to water deficit<br />

stress. Some criteria are concomitant with this tolerance: (1) a high biomass production under stress<br />

conditions when compared to other cultivars (2) the root preferential development, (3) the better ability<br />

to accumulate proline and soluble sugars, and (4) the aptitude to protect its photosynthetic apparatus<br />

against the oxidative stress generated by the water deficit stress. Ecotipo Siciliano, originating <strong>from</strong><br />

Italy was the most sensitive cultivar. The increase of proline and soluble sugars concentrations upon<br />

water deficit stress particularly in the most tolerant cultivar suggested their involvement in the osmotic<br />

adjustment.<br />

Key words: Medicago sativa, intraspecific variability, water deficit stress, osmotic adjustment, MDA.<br />

INTRODUCTION<br />

Environmental constraints such as drought, flooding,<br />

extreme temperature, salinity, heavy metals, photon<br />

irradiance and nutritional disturbances represent the most<br />

limiting factors for agricultural productivity and play a<br />

major role in the distribution of plant species across<br />

different types of environments (Ashraf, 2010). It has<br />

been estimated that two-thirds of the potential yield of<br />

major crops are usually lost due to adverse growing<br />

environments (Chaves et al., 2009). Water shortage is<br />

the major constraint affecting fodder production and yield<br />

stability in most arid and semi-arid regions (Shao et al.,<br />

2009). The situation worsens by the fact that most<br />

climate change scenarios predict a worldwide increase in<br />

*Corresponding author. E-mail: chedly.abdelly@cbbc.rnrt.tn.<br />

Tel: (+216) 79 325 848. Fax: (+216) 79 325 638.<br />

arid areas. When faced with this climatic change and<br />

increasing water demand for agriculture, the selection of<br />

plants resistant to water deficit stress and particularly the<br />

identification of physiological proprieties used by<br />

Fabaceae species to cope with drought are of paramount<br />

importance (Erice et al., 2010; Sambatti and Caylor,<br />

2007). Improvement of plant drought resistance becomes<br />

urgent and should integrate conventional breeding and<br />

biotechnological approaches (Shao et al., 2006, 2009).<br />

Due to their capacity of symbiotic nitrogen fixation,<br />

leguminous plants, like Medicago sativa, are often used<br />

to improve soil organic fertility and nitrogen economy<br />

(Erice et al., 2010; Yousfi et al., 2010). Most leguminous<br />

trees and shrubs having deep roots and fix nitrogen are<br />

able to resist drought and can thrive on poor soils with<br />

little nutrients.<br />

Some plants have evolved various protective<br />

mechanisms allowing them to survive and grow in harsh


environments and respond to water deficit stress through<br />

multiple physiological, biochemical and molecular<br />

mechanisms (Anjum et al., 2011). Plant responses to<br />

water deficit stress generally vary with varieties, severity<br />

as well as with the duration of water shortage. Among<br />

these responses, osmotic adjustment (OA), which is<br />

defined as the lowering of osmotic potential in plant<br />

tissue due to net accumulation of organic and/or mineral<br />

solutes, is a key of plant osmo-tolerance (Yang et al.,<br />

2011). Compatible solutes involved in OA may act as<br />

cytoplasmic osmolytes facilitating water uptake and<br />

retention but also serves as protection in plants suffering<br />

<strong>from</strong> oxidative stress by the detoxification of reactive<br />

oxygen species and stabilizer of macromolecules and<br />

cellular structures (Szabados and Savouré, 2010). These<br />

beneficial impacts have been reported for proline,<br />

glycinebetaine, soluble sugars and polyols. Common with<br />

other abiotic stresses, drought causes increased<br />

production of activated oxygen species (ROS) that<br />

inactivate enzymes and damage cellular components<br />

(Shao et al., 2007, 2008). Oxidative stress occurs when<br />

the defence capacity of plants is broken by the formation<br />

of free radicals. Malondialdehyde (MDA) is an end<br />

product of membrane lipid peroxidation; it has been used<br />

extensively as an indicator for free radical production and<br />

membrane injury under various abiotic stress conditions<br />

(Hermandez et al., 2001). An over-accumulation of<br />

proline in transgenic tobacco subjected to osmotic stress<br />

reduced free radicals levels, assessed by MDA<br />

production (Paranova et al., 2004).<br />

Since water availability is usually the main factor<br />

affecting productivity in dry regions, strategies aiming at<br />

improving sustainable use of water and plant drought<br />

tolerance are urgent (Erice et al., 2010). In this context,<br />

exploration of the variability in osmotic stress responses<br />

would permit not only to identify some tolerant varieties,<br />

but also to determine useful criteria for genetic<br />

improvement of osmotic stress tolerance. As part of this<br />

approach, the present study aimed to investigate the<br />

differential response of eight Medicago sativa cultivars<br />

originating <strong>from</strong> the Mediterranean basin to water deficit<br />

stress.<br />

MATERIALS AND METHODS<br />

Growth conditions<br />

Experiment was carried out on 8 M. sativa cultivars originating<br />

mainly <strong>from</strong> Mediterranean basin: Mamuntanas, Sardi 10, Ecotipo<br />

Siciliano (Italy), Ameristand 801S (USA), Gabes 2355 (Tunisia),<br />

Rich 2 (Marocco), Magali (French) and Tamantit (Algeria). Plants<br />

were cultivated in 25 L plastic pots (30 cm of depth). Every pot was<br />

filled with 25 kg of soil <strong>from</strong> the Centre of Biotechnology at the<br />

Technopark of Borj Cedria (CBBC) parcel. It is a limono-sandy soil<br />

containing 0.25, 0.95, 0.65 and 0.05 meq 100 g −1 of dry soil of Na + ,<br />

K + , Ca 2+ ,Cl − , respectively and 0.24 and 0.45 g kg −1 of dry soil of<br />

P2O5 and total N, respectively. The pH and the electrical<br />

conductivity of the aqueous extract (1/10) were 6.65 and 0.05<br />

mmhos cm −1 , respectively. Culture was conducted in semi-<br />

Slama et al. 16251<br />

controlled conditions in greenhouse in CBBC. Seeds were sown at<br />

a rate of 8 seeds per pot. The obtained seedlings were subjected to<br />

a phase of one month pre-treatment during which soil was<br />

maintained at 100% field capacity (irrigation was carried out with<br />

tap water). At the end of this phase of pre-treatment, the plants of<br />

each cultivar were divided into two batches, control plants (100%<br />

FC) and of the stressed ones (33% FC). Regular weightings (every<br />

2 days) enabled to restore the moisture of soil at 100 or 33% FC.<br />

The plant weight was neglected. Experiments were carried-out in<br />

greenhouse with a 14 h photoperiod (photosynthetic photon flux<br />

density, PPFD: 1000 µmol m -2 s -1 ). Mean temperature and relative<br />

humidity were, respectively 30±5°C, 55±5% day and 16±2°C,<br />

90±5% night. At the end of one month of treatment, a final harvest<br />

was carried out and plants were separated into shoots and roots.<br />

Growth, water relation measurements and leaf water potential<br />

Fresh weights (FW) of plant samples (roots and shoots) were<br />

determined upon harvesting. Dry weight (DW) was obtained after<br />

oven drying the samples at 60°C until a constant weight was reached.<br />

Relative water content (RWC) was measured in the third<br />

youngest fully expanded leaf harvested in the morning. RWC were<br />

determined <strong>using</strong> the following equation (Schonfeld et al., 1988):<br />

RWC (%) = 100 × (FW − DW)/ TW – DW<br />

FW was determined within 2 h after harvest. Turgid weight (TW)<br />

was obtained after soaking leaves in distilled water in test tubes for<br />

12 h at room temperature (about 20°C), under low light condition of<br />

laboratory. After soaking, leaves were quickly and carefully blotted<br />

dry with tissue paper in preparation for determining turgid weight.<br />

Dry weight (DW) was obtained after oven drying at 60°C until a<br />

constant weight was reached. For Ψs, leaves were quickly<br />

collected, cut into small segments, then placed in Eppendorf tubes<br />

perforated with four small holes and immediately frozen in liquid<br />

nitrogen. After being encased individually in a second intact<br />

Eppendorf tube, they were allowed to thaw for 30 min and<br />

centrifuged at 15,000 × g for 15 min at 41°C (Martínez-Ballesta et<br />

al., 2004). The collected sap was analysed for Cs estimation.<br />

Osmolarity (C) was assessed with a vapour pressure osmometer<br />

(Wescor 5500) and converted <strong>from</strong> mosmoles kg -1 to MPa<br />

according to the Van’t Hoff equation:<br />

ψs= -R T M<br />

R is the universal gas constant, T is the temperature (K) and M is<br />

the osmolality<br />

Lipid peroxidation<br />

The extent of lipid peroxidation was assessed by determining the<br />

concentration of malondialdehyde (MDA) (Draper and Hadley,<br />

1990). Leaf material was homogenized in 0.1% (w/v) TCA solution.<br />

The homogenate was centrifuged at 15,000 × g for 10 min and 1 ml<br />

of the supernatant obtained was added to 4 ml 0.5% (w/v) TBA in<br />

20% (w/v) TCA. The mixture was incubated at 90°C for 30 min, and<br />

the reaction was stopped by placing the reaction tubes in an ice<br />

water bath. Samples were centrifuged at 10,000 × g for 5 min, and<br />

the absorbance of the supernatant was read at 532 nm. The value<br />

for non-specific absorption at 600 nm was subtracted. The<br />

concentration of MDA was calculated <strong>from</strong> the extinction coefficient<br />

155 mM –1 cm –1 .<br />

Electrolyte leakage<br />

The leaf and root samples (0.2 g) were placed in test tubes


16252 Afr. J. Biotechnol.<br />

containing 10 ml of double distilled water. The leaves were cut into<br />

discs of uniform size (5 mm length). The tubes were incubated in a<br />

water bath at 32°C for 2 h and the initial electrical conductivity of<br />

the medium (EC1) were measured. The samples were autoclaved<br />

at 121°C for 20 min to release all the electrolytes, cooled to 25°C<br />

and the final electrical conductivity (EC2) were measured. The<br />

electrolyte leakage (EL) was calculated by <strong>using</strong> the formula:<br />

EL = (EC1/ EC2)*100 (Dionisio-Sese and Tobita, 1998).<br />

Proline and soluble sugars determination<br />

Free proline was quantified spectrophotometrically <strong>using</strong> the<br />

method of Bates et al. (1973), while the soluble sugars were<br />

determined by the anthrone reagent method according to Yemm<br />

and Willis (1954).<br />

Proline was determined following the ninhydrin method, <strong>using</strong> Lproline<br />

as a standard. Leaf samples (100 mg FW) were<br />

homogenized in 1.5 ml of 3% (w/v) aqueous sulfosalicylic acid and<br />

centrifuged for 30 min at 14,000 g. To the supernatant (500 µl), 2 ml<br />

of acid ninhydrin and 2 ml of glacial acetic acid were added and the<br />

mixture was boiled for 1 h. After extraction with toluene, the free<br />

proline was quantified (λ = 520 nm) <strong>from</strong> the organic phase <strong>using</strong><br />

an Anthelie Advanced 2, SECOMAN spectrophotometer. Proline in<br />

the test samples was calculated <strong>from</strong> a standard curve prepared<br />

against L-Proline (5 to 30 µg, <strong>from</strong> MERCK KGaA):<br />

y = 0.059x – 0.014, R 2 = 0.99.<br />

The content of total soluble carbohydrates in the studied samples<br />

was determined according to Mc Cready et al. (1950) and Staub<br />

(1963), <strong>using</strong> glucose as a standard. Twenty-five milligram (DW)<br />

leaf samples was homogenized with 5 ml methanol 80% and boiled<br />

while shaking at 70°C for 30 min. The homogenate was centrifuged<br />

for 15 min at 6,000 g. After decanting, the residue was<br />

resuspended in 5 ml of the extraction solution and centrifuged at<br />

6,000 g for 10 min. The supernatant was decanted and combined<br />

with the original extract. For measurement of total soluble<br />

carbohydrates, anthrone–sulfuric acid assay was used. An aliquot<br />

of 250 µl was added to 5 ml of anthrone– sulfuric acid solution. The<br />

mixture was shaken, heated in a boiling water-bath for 10 min and<br />

cooled at 4°C. The absorption was determined by spectrophotometry<br />

(Anthelie Advanced 2, SECOMAN) at 640 nm. A<br />

standard curve was prepared <strong>using</strong> different concentrations of<br />

glucose (0 to 100 µg, <strong>from</strong> MERCK KGaA). From the standard<br />

curve, the concentrations of soluble carbohydrates in the test<br />

samples were calculated (y = 0.0095x – 0.0299, R 2 = 0.979).<br />

Statistical analysis<br />

Standard analysis of variance was done (AV1W procedure of<br />

MSUSTAT 4.12, Richard E. Lund, Montana State University (Lund,<br />

1989).<br />

RESULTS<br />

Growth<br />

As shown in Figure 1, under 100% FC, Sardi 10, Tamantit<br />

and Rich 2 are the most productive cultivars and<br />

Mamuntanas the less productive one. The other cultivars<br />

occupied the intermediate position. Under water deficit<br />

stress, biomass production was significantly decreased<br />

in all cultivars. However, a large variability was observed.<br />

Shoot DW was reduced by 55% in Tamantit and up to<br />

75% in Ecotipo Siciliano. This DW reduction was ranged<br />

between 64 and 70% in the other cultivars. It is important<br />

to note that upon water deficit stress, Tamantit, which<br />

showed the lowest DW reduction compared to its control,<br />

exhibited the highest biomass production under these<br />

conditions (2.5 fold biomass when compared to Ecotipo<br />

Siciliano).<br />

Relative water content and osmotic potential<br />

The analysis of the water relations (Figure 2A) showed<br />

that relative water content was ranged between 30 and<br />

40% for plants submitted to non limiting water supply and<br />

between 10 and 23% for water deficit stressed ones.<br />

Thus, a significant decrease was observed in RWC<br />

values in all cultivars when submitted to water deficit<br />

stress. Tamantit, Sardi 10 and Ameristand, preserved<br />

also the highest RWC values in their leaves, whereas<br />

Ecotipo Siciliano showed the lowest RWC values in<br />

leaves.<br />

Leaf osmotic potential decreased significantly in M.<br />

sativa cultivars subjected to water deficit stress (Figure<br />

2B). However, the difference between the values of this<br />

parameter in plants subjected to the water deficit stress<br />

compared to their respective control is more important in<br />

Tamantit (reduction by 70%) than in Magali, Ameristand<br />

and Sardi (53%) and particularly Ecotipo Siciliano (38%).<br />

Dry matter partitioning between organs<br />

The root /shoot ratio assessed on the basis of dry matter<br />

did not exceed 1.6 for well watered plants. However, it<br />

increased significantly in all the cultivars subjected to<br />

water deficit stress (Figure 3). A large variability was<br />

observed. Tamantit showed significantly the highest<br />

value of this ratio and Ecotipo Siciliano exhibited the<br />

lowest root /shoot ratio value.<br />

Proline accumulation<br />

Plants submitted to 100% FC accumulated proline<br />

(Figure 4) at low levels not exceeding 0.8 µmol g -1 FW<br />

and no significant differences were observed between<br />

cultivars upon appropriate water supply. The water deficit<br />

stress led to a significant increase in leaf proline<br />

concentrations in all cultivars except Mamuntanas<br />

cultivars (Figure 4). A large variability was also observed<br />

at this criterion level.<br />

The most tolerant cultivar identified on the basis of<br />

growth and water relation, Tamantit, is characterized by<br />

the highest proline concentrations, about 6 µmol g -1 FW.<br />

Indeed, this cultivar accumulates at least twice more<br />

proline that the sensitive one.


Carbohydrate content<br />

Figure 1. Changes in shoot dry matter production in eight cultivars of Medicago sativa<br />

during one month of treatment with appropriate water supply (open columns): 100% field<br />

capacity and 33% field capacity (dotted columns). Values are the means of ten replicates,<br />

vertical bars are SE. Values sharing a common latter are not significantly different at<br />

P


16254 Afr. J. Biotechnol.<br />

Figure 2. Changes in the leaf relative water content (A) and leaf osmotic potential (B) in eight<br />

cultivars of Medicago sativa during one month of treatment with appropriate water supply<br />

(open columns): 100% field capacity and 33% field capacity (dotted columns). Values are the<br />

means of ten replicates, vertical bars are SE. Values sharing a common latter are not<br />

significantly different at P


Figure 3. Changes in Root / Shoot DW ratio in eight cultivars of Medicago sativa during one<br />

month of treatment with appropriate water supply (open columns): 100% field capacity and 33%<br />

field capacity (dotted columns). Values are the means of ten replicates, vertical bars are SE.<br />

Values sharing a common latter are not significantly different at P


16256 Afr. J. Biotechnol.<br />

Figure 4. Changes in leaf proline concentrations in eight cultivars of Medicago sativa<br />

during one month of treatment with appropriate water supply (open columns): 100%<br />

field capacity and 33% field capacity (dotted columns). Values are the means of ten<br />

replicates, vertical bars are SE. Values sharing a common latter are not significantly<br />

different at P


Slama et al. 16257<br />

Figure 6. Changes in leaf MDA (malondialdehyde) concentrations (A) and electrolyte leakage (B)<br />

in eight cultivars of Medicago sativa during one month of treatment with appropriate water supply<br />

(open columns): 100% field capacity and 33% field capacity (dotted columns). Values are the<br />

means of ten replicates, vertical bars are SE. Values sharing a common latter are not significantly<br />

different at P


16258 Afr. J. Biotechnol.<br />

relations, showed the highest concentrations in proline. In<br />

the same context, it has been observed that there is<br />

higher proline content in drought-tolerant Sorghum as<br />

well as in Phaseolus species than in sensitive ones<br />

(Türken et al., 2005; Zaifnejad et al., 1997). Vendruscolo<br />

et al. (2007) showed also that proline concentration<br />

reached a high value under water deficit stress in Durum<br />

plants. The PEG-induced water deficit stress increased<br />

proline accumulation in alfalfa particularly in osmotic<br />

tolerant accession (Yazdi) suggesting a positive<br />

correlation between proline accumulation and osmotic<br />

stress tolerance. Proline accumulation differs between<br />

cultivars adapted to certain growth conditions or regions,<br />

as well as within species more or less tolerant to drought<br />

(Heuer, 1994). In maize primary root, for example, the<br />

proline level increased as much as a hundred fold under<br />

a low water potential (Voetberg and Sharp, 1991). The<br />

free proline level also increased <strong>from</strong> 4 to 40 times in pea<br />

in response to water deficit stress (Francisco et al.,<br />

1998). A positive correlation between proline accumulation<br />

and osmotic stress tolerance has been often<br />

established (Ashraf and foolad, 2007). The establishment<br />

of the kinetics of proline accumulation and enzyme (δ-<br />

OAT, PDH) activities showed that the increase of proline<br />

biosynthesis in plants subjected to water deficit was<br />

concomitant with a stimulation of the first enzyme and an<br />

inhibition of the second one (Slama et al., 2006). The<br />

accumulation of the proline is one of the adaptive<br />

responses frequently observed at the plants to limit the<br />

effects of drought. Proline accumulation under stress<br />

protects the cell by balancing the osmotic strength of<br />

cytosol with that of vacuole and external environment. In<br />

addition to its role as cytosolic osmotica, it may interact<br />

with cellular macromolecules such as enzymes and<br />

stabilize the structure and function of such macromolecules.<br />

Thus, this compound is often proposed as<br />

relevant tool for selection of plant species and varieties<br />

tolerant to the osmotic constraints (Ashraf and Foolad,<br />

2007).<br />

Water deficit stress induced the generation of reactive<br />

oxygen species (ROS) (Shao et al., 2005; Shao, 2008). It<br />

is now widely accepted that these cytotoxic ROS are<br />

responsible for various stress-induced damages to<br />

macromolecules mainly lipid membrane peroxidation<br />

which could be determined by measuring malondialdehyde<br />

(MDA). The high accumulation of MDA is<br />

often concomitant with water deficit stress sensitivity. The<br />

increase in lipid peroxidation observed in the leaves of<br />

Ecotipo sciciliano could be resulted <strong>from</strong> the ROS<br />

accumulation. The minor MDA variation observed in<br />

some Medicago cultivars suggests a better protection<br />

<strong>from</strong> oxidative damage. Electrolyte leakage following<br />

cellular membrane degradation indicated permeability<br />

degree and membrane stability (Prasil and Zambien,<br />

1998). The examination of the variation of electrolyte<br />

leakage variations showed that in spite of the high value<br />

of this parameter, Tamantit cultivar showed no significant<br />

differences when compared to control one. It is important<br />

to note that the cultivar showing the highest levels of<br />

proline is the least affected by the oxidative stress<br />

attributing an antioxidant feature to proline, suggesting<br />

ROS scavenging activity and proline acting as a singlet<br />

oxygen quencher (Szabados and savoué, 2009).<br />

In conclusion, variability in response to water deficit<br />

stress occurred among alfalfa seedlings. The root preferential<br />

development, the better ability to accumulate<br />

proline and soluble sugars, and the aptitude to protect<br />

photosynthetic apparatus against the oxidative stress are<br />

the main criteria that are associated with the relative<br />

tolerance of some cultivars.<br />

ACKNOWLEDGMENTS<br />

This work was supported by the Tunisian Ministry of<br />

Higher Education and Scientific Research<br />

(LR10CBBC02), by the Tunisian-French “Comité Mixte<br />

de Coopération Universitaire” (CMCU) network #<br />

08G0917 and by FP6 Project: Improvement of native<br />

perennial forage plants for sustainability of Mediterranean<br />

farming systems.<br />

REFERENCES<br />

Ashraf M (2010). Inducing drought tolerance in plants: Biotechnol. Adv.<br />

28: 169-183.<br />

Ashraf M, Foolad MR (2007). Roles of glycine betaine and proline in<br />

improving plant abiotic stress resistance. Environ. Exp. Bot. 59: 206–<br />

216.<br />

Anjum SA, Xie XY, Wang LC, Saleem MF, Man C, Lei W (2011).<br />

Morphological, physiological and biochemical responses of plants to<br />

drought stress. Afr. J. Agric. Res. 6(9): 2026-2032.<br />

Bates LS, Waldren RP, Teare ID (1973). Rapid determination of the free<br />

proline in water stress studies. Plant Soil, 39: 205–208.<br />

Cattivelli L, Rizza F, Badeck FW, Mazzucotelli E, Mastrangelo AM,<br />

Francia E, Marè C, Tondelli A, Stanca AM (2008). Drought tolerance<br />

improvement in crop plants: An integrated view <strong>from</strong> breeding to<br />

genomics. Field Crop Res. 105: 1–14.<br />

Chaves MM, Maroco JP, Pereora JS (2003). Understanding plant<br />

responses to drought-<strong>from</strong> genes to the whole plant. Funct. Plant<br />

Biol. 30: 239-264.<br />

Chaves MM, Flexas J, Pinheiro C (2009). Photosynthesis under drought<br />

and salt stress: regulation mechanisms <strong>from</strong> whole plant to cell. Ann.<br />

Bot. 103: 551-560<br />

Chaves MM, Zarrouk O, Fransisco R, Costa JM, Santos T, Regalado<br />

AP, Rodrigues ML, Lopes CM (2010). Grapevine under deficit<br />

irrigation: hints <strong>from</strong> physiological and molecular data. Ann. Bot. 105:<br />

661-676.<br />

Dionisio-Sese ML, Tobita S (1998). Antioxidant responses of rice<br />

seedlings to salinity stress. Plant Sci. 135: 1-9.<br />

Draper HH, Hadley M (1990). Malondialdehyde determination as index<br />

of lipid peroxidation. Method Enzymol. 186 : 421–431.<br />

El Jaafari S (1993). Contribution à l’étude des mécanismes<br />

biophysiques et biochimiques de résistance à la sécheresse chez le<br />

blé (Triticum aestivum L.). Doctorat de la Faculté des Sciences<br />

Agronomiques de Gembloux, Belgique, p. 214.<br />

Erice G, Louahlia S, Irigoyen JJ, Sanchez-Diaz M, Avice JC (2010).<br />

Biomass partitioning, morphology and water status of four alfalfa<br />

genotypes submitted to progressive drought and subsequent<br />

recovery. J. Plant Physiol. 167: 114–120.<br />

Francisco JS, Manzaranes M, De Andres EF, Tenorio JL, Ayerbe L<br />

(1998). Turgor maintenance, osmotic adjustment and soluble sugar<br />

and proline accumulation in 49 pea cultivars in response to water


stress. Field Crop Res. 59: 225-235.<br />

Hernández JA, Ferrer MA, Jiménez A, Barcelo AR, Sevilla F (2001).<br />

–<br />

Antioxidant systems and O2 /H2O2 production in the apoplast of pea<br />

leaves: its relation with salt-induced necrotic lesions in minor veins.<br />

Plant Physiol. 127: 817–831.<br />

Hoekstra FA, Golovina EA (1999). Membrane behaviour during<br />

dehydration: implications for desiccation tolerance. Russian J. Plant<br />

Physiol. 46: 295–306.<br />

Kameli A, Lösel DM (1995). Contribution of carbohydrates and solutes<br />

to osmotic adjustment in wheat leaves under water stress. J. Plant.<br />

Physiol. 145: 363-366.<br />

Martínez-Ballesta MC, Martínez V, Carvajal M (2004). Osmotic<br />

adjustment, water relations and gaz exchange in pepper plants grown<br />

under NaCl or KCl. Environ. Exp. Bot. 52: 161-174.<br />

Mohsenzadeh S, Malboodi MA, Razavi K, Farrahi-Aschtiani S (2006).<br />

Physiological and molecular responses of Aeluropus lagopoides<br />

(Poaceae) to water deficit. Environ. Exp. Bot. 56: 314-322.<br />

Moinuddin A, Fischer RA, Sayre KD, Reynolds MP (2005). Osmotic<br />

adjustment in wheat in relation to grain yield under water deficit<br />

environments. J. Agron. 97: 1062-1071.<br />

Nunes C, Sousa Araújo S, Da Silva JM, Fevereiro MPSF, Da Silva AB<br />

(2008). Physiological responses of the legume model Medicago<br />

truncatula cv. Jemalong to to water deficit. Environ. Exp. Bot. 63:<br />

289-296.<br />

Lund RE (1989). A user’s guide to Msustat Statistical Analysis Package.<br />

Microcomputer Version 4(12): 202.<br />

Parvanova D, Ivanov S, Konstantinova T, Karanov E, Atanassov A,<br />

Tsevetkov T, Alexieva V, Djilianov D (2004). transgenic tobacco<br />

plants accumulating osmolytes show reduced oxidative damage<br />

under freezing stress. Plant Physiol. Bioch. 42: 57-63.<br />

Pinheiro C, Chaves MM, Ricardo CP (2001). Alterations in carbon and<br />

nitrogen metabolism induced by water deficit in the stems and leaves<br />

of Lupinus albus L.. J. Exp. Bot. 52: 1063-1070.<br />

Prasil I, Zambien J (1998). The use of conductivity measurement<br />

method for assessing reezing injury. I. Influence of leakage time,<br />

segment number, size and shape in a sample on evaluation of the<br />

degree of injury. Environ. Exp. Bot. 40: 1-10.<br />

Safarnejad A, Collin HA, Bruce KD, McNeilly T (1996). Characterization<br />

of alfalfa (Medicago sativa L.) following In vitro selection for salt<br />

tolerance. Euphytica, 92: 55-61.<br />

Sambatti JBM, Caylor KK (2007). When is breeding for drought<br />

tolerance optimal if drought is random? New Physiologist. 175: 70-80.<br />

Schonfeld MA, Johnson RC, Carver BF, Mornhinweg DW (1988). Water<br />

relations in winter wheat as drought resistance indicator. Crop Sci.<br />

28: 526–531.<br />

Shao HB, Chen XY, Chu LY, Zhao XN, Wu G, Yuan YB, Zhao CX, Hu<br />

ZM (2006). Investigation on the relationship of proline with weat antidrought<br />

under soil water deficits. Colloids surface B. 53: 113-119.<br />

Shao HB, Liang ZS, Shao MA (2006). Osmotic regulation of 10 wheat<br />

(Triticum aestivum L.) genotypes at soil water deficits. Colloids Surf.<br />

B. 47: 132-139.<br />

Slama et al. 16259<br />

Shao HB, Chu LY, Jaleel CA, Manivannan P, Panneerselvam R, Shao<br />

MA (2009). Understanding water deficit stress-induced changes in<br />

the basic metabolism of higher plants - biotechnologically and<br />

sustainably improving agriculture and the ecoenvironment in arid<br />

regions of the globe. Crit. Rev. Biotechnol. 29(2): 131-151.<br />

Shao HB, Chu LY, Wu G, Zhang JH, Lu ZH, Hu YC (2007). Changes of<br />

some anti-oxidative physiological indices under soil water deficits<br />

among 10 wheat (Triticum aestivum L.) genotypes at tillering stage,<br />

Colloids Surf. B. 54:143–149.<br />

Shao HB, Chu LY, Lu ZH, Kang CM (2008). Main antioxidants and<br />

redox signaling in higher plant cells. Int. J. Biol. Sci. 44: 12–18.<br />

Shao HB, Chu LY, Shao MA, Cheruth AJ, Mi HM (2008). Higher plant<br />

antioxidants and redox signalling under environmental stresses. C. R.<br />

Biologies. 331: 433-441.<br />

Slama I, Messedi D, Ghnaya T, Savouré A, Abdelly C (2006). Effects of<br />

water-deficit on growth and proline metabolism in Sesuvium<br />

portulacastrum. Environ. Exp. Bot. 56: 231–238.<br />

Slama I, Ghnaya T, Savouré A, Abdelly C (2008). Combined effects of<br />

long-term salinity and soil drying on growth, water relations, nutrient<br />

status and proline accumulation of Sesuvium portulacastrum, C. R.<br />

Biol. 331: 442–451.<br />

Szabados L, Savouré A (2010). Proline: a multifunctional amino acid.<br />

Trends Plant Sci, 15 (89- 15(2): 89-97.<br />

Türkan I, Bor M, Ozdemir F, Koca H (2005). Differential responses of<br />

lipid peroxidation and antioxidants in the leaves of drought-tolerant P.<br />

acutifolius Gray and drought-sensitive P. vulgaris L. subjected to<br />

polyethylene glycol mediated water stress. Plant Sci. 168: 223–231.<br />

Vendruscolo ECG, Schuster I, Pileggi M, Scapim CA, Molinari HBC,<br />

Marur CJ, Vieira LGE (2007). Stress-induced synthesis of proline<br />

confers tolerance to water deficit in transgenic wheat. J. Plant.<br />

Physiol. 164: 1367-1376.<br />

Voetberg GS, Sharp RE (1991). Growth of maize primaryroot at low<br />

water potential III. Role of increased proline deposition in osmotic<br />

adjustment. Plant. Physiol. 96: 1125-1230.<br />

Yang P, Zhang P, Li B, Hu T (2011). Effect of nodules on dehydration<br />

response in alfalfa (Medicago sativa L.). Environ. Exp. Bot. doi:<br />

10.1016/j.envexpbot.pp.05-012.<br />

Yemm EW, Willis J (1954). The estimation of carbohydrates in plant<br />

extracts by anthrone. J. Biochem. 57: 508–514.<br />

Yousfi N, Slama I, Ghnaya T, Savouré A, Abdelly C (2010). Effects of<br />

water deficit stress on growth, water relations and osmolytes<br />

accumulation in Medicago truncatula and M Laciniata populations. C.<br />

R. Biol. 333: 205–213.<br />

Zaifnejad M, Clark RB, Sullivan CY (1997). Aluminum and water stress<br />

effects on growth and proline of sorghum. J. Plant. Physiol. 150: 338-<br />

344.


African Journal of Biotechnology Vol. 10(72), pp. 16260-16266, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1897<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Cloning and characterization of a thermostable 2deoxy-D-ribose-5-phosphate<br />

aldolase <strong>from</strong><br />

Aciduliprofundum boonei<br />

Xiaopu Yin, Qiuyan Wang, Shu-juan Zhao, Peng-fei Du, Kai-lin Xie, Peng Jin and Tian Xie*<br />

Center for Biomedicine and Health, Hangzhou Normal University, Hangzhou 310012, P. R. China.<br />

Accepted 30 September, 2011<br />

Analysis of the presumptive 2-deoxy-D-ribose 5-phosphate aldolase gene <strong>from</strong> Aciduliprofundum<br />

boonei revealed an open reading frame (ORF) encoding 222 amino acids, which was subcloned and<br />

then expressed in Escherichia coli. The recombinant DERA protein was purified to apparent<br />

homogeneity. The enzyme activity was optimal at pH 7.0 and 80C. For 2-deoxyribose-5-phosphate, the<br />

apparent Km was calculated to be 0.12 ± 0.01 mM. No loss of activity was observed after incubation at<br />

80C for 10 min. The enzyme was extremely stable over a wide range of pH levels. Moreover, the<br />

thermophilic enzyme also showed tolerance to acetaldehyde, which retained more than 70% activity<br />

after exposure for 4 h to 250 mM acetaldehyde at 25°C.<br />

Key words: 2-deoxy-D-ribose 5-phosphate aldolase (DERA), thermophiles, aldo condensation.<br />

INTRODUCTION<br />

Aldolases are used for stereospecific carbon-carbon<br />

bond formation, one of the most important transformations<br />

in industrial organic syntheses (Kim et al.,<br />

2009). According to the chemical mechanism, aldolases<br />

are divided into two classes: Class I aldolases are<br />

cofactor-independent and catalyzes carbon-carbon bond<br />

cleavage via the formation of a Schiff base intermediate<br />

with the sugar; Class II aldolases are dependent on a<br />

divalent metal ion that acts as a Lewis acid and activates<br />

the donor substrate (Morse and Horecker, 1968; Rutter,<br />

1964; Siebers et al., 2001; Sauve and Sygusch, 2001).<br />

Deoxyribose 5-phosphate aldolase (DERA, EC 4.1.2.4),<br />

one of the class I aldolases, constitutes the only member<br />

of the acetaldehyde-dependent aldolase family and is a<br />

powerful tool to generate chiral centers in the<br />

acetaldehyde adducts, which is the unique side chains of<br />

statins (Jennewein et al., 2006).<br />

Although, DERAs <strong>from</strong> many microorganisms such<br />

*Corresponding author. E-mail: tianxie.hznu@gmail.com. Tel:<br />

+86-571-28865630. Fax: +86-571-28865630.<br />

Abbreviations: DERA, 2-Deoxy-D-ribose 5-phosphate<br />

aldolase; DRP, 2-deoxy-D-ribose- 5-phosphate; ORF, open<br />

reading frame.<br />

as Bacillus cereus, E. coli K12, Klebsiella pneumoniae,<br />

Lactobacillus plantarum, Salmonella typhimurium,<br />

Streptococcus mutans GS-5, Yersinia sp. EA015,<br />

Aeropyrum pernix, Pyrobaculum aerophilum and<br />

Thermotoga maritime, have been studied (Gijsen and<br />

Wong, 1994; Sgarrella et al., 1992; Horinouchi et al.,<br />

2003; Pricer et al., 1960; Hoffee, 1968; Han et al., 2004;<br />

Kim et al., 2009; Sakuraba et al., 2003, 2007), it is<br />

generally limited by the poor resistance to a high<br />

concentration of aldehydes in industrial applications.<br />

Recently, enzymes isolated <strong>from</strong> microorganisms in<br />

extreme conditions have showed unique features. For<br />

example, they are extremely thermostable and usually<br />

resistant to chemical denaturants such as detergents,<br />

chaotropic agents and organic solvents (Burton et al.,<br />

2002; Cowan, 1997; Egorova and Antranikian, 2005;<br />

Antranikian et al., 2005; Hao and Berry, 2004). Therefore,<br />

it’s a practical strategy to obtain new DERAs <strong>from</strong><br />

thermophilic microorganisms for industrial applications.<br />

The hyperthermophilic A. boonei was isolated in 2006<br />

<strong>from</strong> deep-sea vent of the Pacific coast of South America<br />

(Reysenbach et al., 2006). The whole genome was<br />

sequenced, annotated and analyzed in 2008<br />

(Reysenbach and Flores, 2008). In this report, we cloned,<br />

expressed and characterized the DERA <strong>from</strong> thermophilic<br />

A. boonei. Purified recombinant DERA showed thermo-


stability and resistance to a high concentration of acetaldehydes<br />

which could be further used as the biocatalyst<br />

for industrial applications.<br />

MATERIALS AND METHODS<br />

The pET-303/CT-His vector was obtained <strong>from</strong> Novagen (Madison,<br />

WI, USA). The E. coli strain BL21-CodonPlus (DE3)-RIL was<br />

purchased <strong>from</strong> Stratagene (La Jolla, CA). 2-deoxy-D-ribose-5phosphate<br />

(DRP), triose-phosphate isomerase (TPI) and glycerol-3phosphate<br />

dehydrogenase (GPD) were purchased <strong>from</strong> Sigma (St.<br />

Louis, MO, USA). All other chemicals were of reagent grade.<br />

Gene cloning and multiple sequence alignment<br />

The nucleotide sequence encoding DERA <strong>from</strong> the thermophilic<br />

microorganism A. boonei was obtained <strong>from</strong> EMBL Nucleotide<br />

Sequence Database (http://www.ebi.ac.uk/embl/Access/). The DNA<br />

encoding full length DERA was synthesized by Sangon (China) and<br />

abbreviated as DERAAbo. The restriction sites of Xba I and Xho I<br />

were introduced at the 5' end and 3' end, respectively.<br />

The conserved residues in DERAAbo was identified by aligning the<br />

amino acid sequences of DERAs <strong>from</strong> representative thermophilic<br />

organisms A. pernix, P. aerophilum and T. maritime with<br />

CLUSTALX. The accession numbers of the sequences were as<br />

follows: A. boonei, B5IEU6; A. pernix, Q9Y948; P. aerophilum,<br />

Q8ZXK7 and T. maritima, Q9X1P5, which were obtained <strong>from</strong><br />

UniProtKB /TrEMBL Database.<br />

Protein expression, purification and molecular mass<br />

determination<br />

The expression vector carrying desired DERA sequence was<br />

transformed into the E. coli strain BL21-CodonPlus (DE3)-RIL. The<br />

transformant in culture medium containing 100mg/L ampicillin was<br />

grown to OD600 = 0.8. Then IPTG was added to the final<br />

concentration of 1.0 mM. After induction at 37°C for 8.5 h in the<br />

conical flask, the bacteria were collected and lysed. The<br />

supernatant was incubated with Ni-NTA agarose (Qiagen, Hilden,<br />

Germany) for 1 h at 4°C, and the mixture was loaded onto a<br />

chromatography column. The column was washed with buffer<br />

containing 100 mM sodium phosphate (pH 7.5), 200 mM sodium<br />

chloride, and 10 mM imidazole. The His-tag DERA was eluted <strong>from</strong><br />

the column with the same buffer containing 500 mM imidazole. The<br />

protein was dialyzed overnight against 20 mM sodium phosphate<br />

(pH 7.5) and concentrated with polyethylene glycol (PEG) 20000,<br />

then freeze-dried. Enzyme powders were stored at -20°C. The<br />

results were analyzed by 12% SDS-PAGE and the protein<br />

concentration was determined by the Bradford method with bovine<br />

serum albumin as the standard.<br />

The molecular mass of the purified enzyme was determined by<br />

analytical gel filtration on a Superdex 200 column (2.6 × 62 cm;<br />

Amersham Biosciences) and pre-equilibrated with 50mM Tris-HCl<br />

buffer (pH 8.0) containing 0.2 M NaCl. The molecular mass of<br />

DERA was compared with the retention time of four standard<br />

proteins including lysozyme (14 kDa), chymotrypsin (25 kDa),<br />

maltose binding protein (43 kDa) and bovine serum albumin (68<br />

kDa).<br />

Enzyme activity assay<br />

The DERA cleavage activity was measured by following the<br />

oxidation of NADH in a coupled assay converting glyceraldehyde-3-<br />

Yin et al. 16261<br />

phosphate, one of DRP cleavage products, to glycerol 3-phosphate<br />

by TPI and GDP. The DRP cleavage reaction was carried out at<br />

50°C for 5 min and then DERA was removed <strong>using</strong> a centrifugal<br />

filter device (Microcon YM-10; Millipore). Reduction was carried out<br />

at 25°C for 30 min. The reaction mixture in a total volume of 400 µl,<br />

contained 100 mM sodium acetate buffer (pH 5.5), 0.1 mM NADH,<br />

0.4 mM DRP, 11 U triose-phosphate isomerase, 4 U glycerol-3phosphate,<br />

and various concentrations of DERAAbo. The change in<br />

absorbance of NADH was monitored at 340 nm (ε = 6.22 mM -1 cm -<br />

1 ).<br />

The unit (U) activity was defined as the amount of DERA required to<br />

catalyze the cleavage of 1 μmol of DRP per minute. Kinetic<br />

properties of DERA were examined in 100 mM sodium acetate<br />

buffer (pH 5.5). Five concentrations of DRP, ranging <strong>from</strong> 0.04 to<br />

0.4 mM were used to determine reaction rates. The apparent<br />

Michaelis-Menten constant for DRP cleavage reactions was<br />

determined <strong>from</strong> the double reciprocal Lineweaver-Burk plots of the<br />

reaction rate.<br />

Effects of pH on enzyme activity and stability<br />

The buffers used to determine the effects of pH were sodium<br />

acetate (0.1 M, pH 3.0 to 6.0), imidazole-HCl (0.1 M, pH 6.0 to 7.5),<br />

triethanolamine-HCl (0.1 M, pH 7.5 to 8.5), glycine-NaOH (0.1 M,<br />

pH 8.5 to 11.0) and Na2HPO3-NaOH (0.1 M, pH 11.0 to 13.0). The<br />

optimum pH for DERA was determined by analysis of DRP<br />

cleavage in pH <strong>from</strong> 4.0 to 10.0. The effect of pH on enzyme<br />

stability was determined by comparing the relative activity of the<br />

enzyme (at 0.5 mg/ml) incubated in pH ranging <strong>from</strong> 2.0 to 13.0 at<br />

50°C for 30 min.<br />

Effects of temperature on enzyme activity and stability<br />

The optimum temperature of DERA was measured <strong>using</strong> the DRP<br />

cleavage assay with a slight modification. After the reaction mixture<br />

containing 100 mM sodium acetate buffer (pH 5.5), 0.4 mM DRP,<br />

and a known concentration of DERA was incubated in the range of<br />

30 to 100°C for 1 min, DERA was removed. The reduction reaction<br />

was then carried out at 25°C for 30 min in the presence of TPI and<br />

GPD and the decrease of NADH was monitored. To determine the<br />

effect of temperature on enzyme stability, DERA (0.5 mg/ml) was<br />

incubated for 10 min at different temperatures, and the residual<br />

activities were assayed.<br />

Effects of acetaldehyde on enzyme stability<br />

To examine the effect of acetaldehyde on enzyme stability, 0.5<br />

mg/ml DERA in 10 mM Tris-HCl (pH 7.0) containing 50, 150 and<br />

250 mM acetaldehyde, respectively was incubated at 25°C for<br />

various intervals. The acetaldehyde was removed <strong>from</strong> the enzyme<br />

solution <strong>using</strong> a centrifugal filter device (Microcon YM-10, Millipore).<br />

The resulting DERA was diluted to 0.2 mg/ml with 100 mM sodium<br />

acetate (pH 5.5) and the residual activity was analyzed.<br />

RESULTS AND DISCUSSION<br />

Cloning, expression and purification<br />

To over-express the PCR-amplified gene, the vector pET-<br />

303/CT-His was selected for the correct orientation of the<br />

oligonucleotide sequence and desired reading frame. The<br />

constructed plasmid pET-DERAAbo was confirmed by


16262 Afr. J. Biotechnol.<br />

Figure 1. SDS-PAGE analysis of recombinant DERA <strong>from</strong> A. boonei. (A) M, molecular weight maker; Lane 1, uninduced crude extract; lane 2,<br />

induced crude extract; lane 3, purified DERAAbo after Ni-NTA affinity chromatography. (B) Gel filtration analysis of recombinant DERA: molecular<br />

mass of DERA was compared with the values of retention time of lysozyme (14 kDa), chymotrypsin (25 kDa), maltose binding protein (43 kDa)<br />

and bovine serum albumin (68 kDa).<br />

DNA sequencing. Finally, the plasmid was used for the<br />

transformation of E. coli BL21-CodonPlus (DE3)-RIL.<br />

The recombinant protein with His-tag was purified to<br />

homogeneity <strong>using</strong> a Ni-NTA column. The molecular<br />

weight of the protein calculated <strong>from</strong> the deduced amino<br />

acid sequence was 26.6 kDa. The apparent size of the<br />

protein was in good agreement with the calculated<br />

molecular weight (Figure 1A). The native molecular mass<br />

of the enzyme determined by gel filtration is about 53 kDa<br />

(Figure 1B), which indicated that the enzyme consists of<br />

two subunits with identical molecular mass. The DERA<br />

<strong>from</strong> E. coli also has a dimer structure (Protein Data Bank<br />

code 1JCL) composed of two identical subunits, which is<br />

most common for DERA (Sakuraba et al., 2003).<br />

Multiple sequence alignment<br />

The DERAAbo protein was aligned with representative<br />

DERA proteins of thermophilic microorganisms, including<br />

A. pernix (Q9Y948), P. aerophilum (Q8ZXK7) and T.<br />

maritima (Q9X1P5), whose catalytic sites have been<br />

confirmed. It was found that the residue Lys127 of<br />

DERAAbo was highly conserved in the DERAs, which was<br />

essential in forming the Schiff-base with the aldehydic<br />

substrate. Furthermore, the residues Asp92 and Lys185<br />

were also highly conserved in DERAs (Figure 2), which<br />

were known to be important in proton relays (Sakuraba et<br />

al., 2007).<br />

Optimum pH and pH stability<br />

Optimum pH and pH stability of the purified recombinant<br />

DERAAbo were studied <strong>using</strong> DRP as a substrate. With<br />

the standard assay method, the highest activity was<br />

obtained at pH 7.0 and more than 75% activity remained<br />

between pH 6.5 and 7.5 (Figure 3A), which is similar with<br />

DERAs <strong>from</strong> P. aerophilum and T. maritima. The stability<br />

of the enzyme after incubation at various pH values is<br />

shown in Figure 3B. After heating at pH levels ranging<br />

<strong>from</strong> 4.0 to 11.0 for 30 min at 50°C, only a few loss of<br />

activity was found. DERAAbo was extremely stable over a<br />

wide range of pH levels, which suggested that it will be<br />

stable in industrial processes under different pH<br />

conditions.<br />

Optimum temperature and thermal stability<br />

The effect of temperature on enzyme activity at pH 7.0 is<br />

shown in Figure 4. The highest activity was observed at<br />

80°C. The activity sharply decreased below and above<br />

80°C. The thermal stability of DERA was determined after<br />

incubation at different temperatures. After heating at<br />

80C for 10 min, no loss of activity was observed for<br />

DERAAbo (Figure 4). Even after incubation at 90°C for 10


Yin et al. 16263<br />

Figure 2. Amino acid sequence alignment of DERAs <strong>from</strong> A. boonei (B5IEU6), A. pernix (Q9Y948), P. aerophilum (Q8ZXK7) and T. maritime<br />

(Q9X1P5). Gaps, indicated by dashes, were introduced into the sequences to maximize homology. Residues important for catalysis as<br />

discussed in the text are shown in triangles.<br />

min, the enzyme retained about 60% residual activity.<br />

These results show that DERAAbo is a remarkably thermal<br />

stable enzyme.<br />

Basic kinetic constants for DERAAbo<br />

Initial rate kinetics for the aldol cleavage reaction with<br />

DERAAbo was determined with various concentrations of<br />

DRP by fitting the data to the Michaelis-Menten equation.<br />

The apparent Km value of the enzyme was 0.12 ± 0.01<br />

mM, which is lower than that of E. coli DERA (Gijsen and<br />

Wong, 1994) and higher than those of T. maritima and P.<br />

aerophilum DERA (Sakuraba et al., 2003, 2007).<br />

Compared to the mesophilic DERA <strong>from</strong> Yersinia sp. with<br />

Km value of 9.1 mM, the reported thermophilic DERAs<br />

have significantly higher substrate affinity.<br />

Effects of acetaldehyde on enzyme stability<br />

DERAAbo retained more than 70% DRP cleavage activity<br />

after exposure for 4 h to 250 mM acetaldehyde at 25°C,<br />

and over 80% activity under the condition of 50/150 mM<br />

acetaldehyde (Figure 5). No further loss of activity was<br />

observed after 1 h as most of the acetaldehyde was<br />

converted to lactol. These results indicate that the<br />

enzyme was resistant to acetaldehyde of high<br />

concentration and that acetaldehyde could be used to<br />

obtain the side chain of statine with the enzymes.<br />

Thermophilic DERAs <strong>from</strong> P. aerophilum and T. maritime<br />

also showed a significant resistance to high concentration<br />

acetaldehyde, retaining high activity after exposure for<br />

hours to 300 mM acetaldehyde. In contrast, the<br />

mesophilic counterpart DERA <strong>from</strong> E. coli is almost<br />

completely inactivated after exposure to acetaldehyde for<br />

2 h under the same conditions (Sakuraba et al., 2007).<br />

The results supported the hypothesis that thermostable<br />

DERAs are promising candidates for industrial<br />

applications (Burton et al., 2002; Cowan, 1997; Egorova<br />

and Antranikian, 2005), as the key issue faced in statin<br />

synthesis is poor tolerance of DERA toward high<br />

concentrations of acetaldehyde substrate.<br />

In conclusion, we reported the cloning, expression and<br />

characterization of DERA <strong>from</strong> A. boonei. DERAAbo<br />

showed broad pH adaptability, remarkable thermostability<br />

and high stability to high concentrations of acetaldehyde.<br />

We expect that DERAAbo will be useful in manufacturing<br />

settings where high concentrations of acetaldehyde are<br />

necessary. Currently, we are investigating the use of<br />

DERAAbo in the synthesis of statin side chains and this<br />

data will be reported in due course.<br />

ACKNOWLEDGEMENTS<br />

The work was supported by Major Science and<br />

Technology Project of Hangzhou (20092113A03), Normal<br />

Science Project of Zhejiang Province (2009C31086),<br />

National Natural Science Foundation of China<br />

(20906016, 20675022, 30900253, 21006018), Natural<br />

Science Foundation of Zhejiang Province (Y4080317),


16264 Afr. J. Biotechnol.<br />

Relative activity(%)<br />

Relative activity(%)<br />

A<br />

B<br />

100<br />

80<br />

60<br />

40<br />

20<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

0<br />

4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0<br />

Figure 3. Optimum pH and pH stability of A. boonei DERA. (A) The optimum pH was performed at a<br />

variety of pH levels by determining cleavage of the DRP at 25°C. (B) The enzyme was incubated for<br />

30 min at 50°C in buffers of various pH levels, after which the remaining activity was assayed.<br />

pH<br />

0 2 4 6 8 10 12 14<br />

pH


Relative activity(%)<br />

Relative activity(%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

30 40 50 60 70 80 90 100<br />

Temperature( C )<br />

Figure 4. Effects of temperature on activity (●) and stability (■) of A. boonei DERA. Effect of<br />

temperature was determined <strong>using</strong> imidazole-HCl buffer (0.1 M, pH 7.0). Thermostability was<br />

determined after incubation for 10 min at the indicated temperatures in imidazole-HCl buffer (0.1<br />

M, pH 7.0).<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

activity(%)<br />

activity(%)<br />

0 1 2 3 4<br />

Time (h)<br />

Figure 5. Effect of acetaldehyde on enzyme stability. The enzyme was incubated at 25°C in the<br />

presence of 50 mM(■),150 mM(▲) and 250 mM(●) acetaldehyde, respectively and the DRP<br />

cleavage activity was assayed at appropriate intervals.<br />

Yin et al. 16265


16266 Afr. J. Biotechnol.<br />

and Technology Research and Development Program for<br />

Institue of Hangzhou (20090331N03, 20101131N03).<br />

REFERENCES<br />

Antranikian G, Vorgias CE, Bertoldo C (2005). Extreme environments<br />

as a resource for microorganisms and novel biocatalysts. Adv.<br />

Biochem. Eng. Biotechnol. 96: 219-262.<br />

Burton SG, Cowan DA, Woodley JM (2002). The search for the ideal<br />

biocatalyst. Nat. Biotechnol. 20: 37-45.<br />

Cowan DA (1997). Thermophilic proteins: stability and function in<br />

aqueous and organic solvents. Comp. Biochem. Physiol. A Physiol.<br />

118: 429-438.<br />

Egorova K, Antranikian G (2005). Industrial relevance of thermophilic<br />

Archaea. Curr. Opin. Microbiol. 8: 649-655.<br />

Gijsen HJM, Wong CH (1994). Unprecedented Asymmetric Aldol<br />

Reactions with Three Aldehyde Substrates Catalyzed by 2-<br />

Deoxyribose-5-phosphate Aldolase. J. Am. Chem. Soc. 116: 8422-<br />

8423.<br />

Han TK, Zhu Z, Dao ML (2004). Identification, molecular cloning, and<br />

sequence analysis of a deoxyribose aldolase in Streptococcus<br />

mutants GS-5. Curr. Microbiol. 48: 230-236.<br />

Hao J, Berry A (2004). A thermostable variant of fructose bisphosphate<br />

aldolase constructed by directed evolution also shows increased<br />

stability in organic solvents. Protein Eng. Des. Sel. 17: 689-697.<br />

Hoffee PA (1968). 2-deoxyribose-5-phosphate aldolase of Salmonella<br />

typhimurium: purification and properties. Arch. Biochem. Biophys.<br />

126: 795-802.<br />

Horinouchi N, Ogawa J, Sakai T, Kawano T, Matsumoto S, Sasaki M,<br />

Mikami Y, Shimizu S (2003). Construction of deoxyriboaldolaseoverexpressing<br />

Escherichia coli and its application to 2-deoxyribose<br />

5-phosphate synthesis <strong>from</strong> glucose and acetaldehyde for 2'deoxyribonucleoside<br />

production. Appl. Environ. Microbiol. 69: 3791-<br />

3797.<br />

Jennewein S, Schürmann M, Wolberg M, Hilker I, Luiten R, Wubbolts<br />

M, Mink D (2006). Directed evolution of an industrial biocatalyst: 2deoxy-D-ribose<br />

5-phosphate aldolase. Biotechnol. J. 1(5): 537-548.<br />

Kim YM, Chang YH, Choi NS, Kim YO, Song JJ, Kim JS (2009).<br />

Cloning, expression, and characterization of a new deoxyribose 5phosphate<br />

aldolase <strong>from</strong> Yersinia sp. EA015. Protein Expres. Purif.<br />

68: 196-200.<br />

Morse DE, Horecker BL (1968). The mechanism of action of aldolases.<br />

Adv. Enzymol. Relat. Areas. Mol. Biol. 31: 125-181.<br />

Pricer WE Jr, Horecker BL (1960). Deoxyribose aldolase <strong>from</strong><br />

Lactobacillus plantarum. J. Biol. Chem. 235: 1292-1298.<br />

Reysenbach AL, Flores GE (2008). Electron microscopy encounters<br />

with unusual thermophiles helps direct genomic analysis of<br />

Aciduliprofundum boonei. Geobiology, 6(3): 331-336.<br />

Reysenbach AL, Liu Y, Banta AB, Beveridge TJ, Kirshtein JD, Schouten<br />

S, Tivey MK, Von Damm K, Voytek MA (2006). Isolation of a<br />

ubiquitous obligate thermoacidophilic archaeon <strong>from</strong> deep-sea<br />

hydrothermal vents. Nature, 442: 444-447.<br />

Rutter WJ (1964). Evolution of aldolase. Fed. Proc. 23: 1248-1257.<br />

Sakuraba H, Tsuge H, Shimoya I, Kawakami R, Goda S, Kawarabayasi<br />

Y, Katunuma N, Ago H, Miyano M, Ohshima T (2003). The first crystal<br />

structure of archaeal aldolase. Unique tetrameric structure of 2deoxy-d-ribose-5-phosphate<br />

aldolase <strong>from</strong> the hyperthermophilic<br />

archaea Aeropyrum pernix. J. Biol. Chem. 278: 10799-10806.<br />

Sakuraba H, Yoneda K, Yoshihara K, Satoh K, Kawakami R, Uto Y,<br />

Tsuge H, Takahashi K, Hori H, Ohshima T (2007). Sequential aldol<br />

condensation catalyzed by hyperthermophilic 2-deoxy-d-ribose-5phosphate<br />

aldolase. Appl. Environ. Microbiol. 73: 7427-7434.<br />

Sauve V, Sygusch J (2001). Molecular cloning, expression, purification,<br />

and characterization of fructose-1, 6-bisphosphate aldolase <strong>from</strong><br />

Thermus aquaticus. Protein Expres. Purif. 21: 293-302.<br />

Sgarrella F, Del Corso A, Tozzi MG, Camici M (1992). Deoxyribose 5phosphate<br />

aldolase of Bacillus cereus: purification and properties.<br />

Biochim. Biophys. Acta. 1118: 130-133.<br />

Siebers B, Brinkmann H, Dorr C, Tjaden B, Liliei H, Oost JVD, Verhees<br />

CH (2001). Archaeal fructose-1,6-bisphosphate aldolases constitute<br />

a new family of archaeal type class I aldolase. J. Biol. Chem. 271:<br />

28710-28718.


African Journal of Biotechnology Vol. 10(72), pp. 16267-16276, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2036<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Isolation and characterization of a bacterial celluloseproducing<br />

bacterium derived <strong>from</strong><br />

the persimmon vinegar<br />

Young-Jung Wee 1 *, Soo-Yeon Kim 2 , Soon-Do Yoon 3 and Hwa-Won Ryu 2 *<br />

1 Department of Food Science and Technology, Yeungnam University, Gyeongsan, Gyeongbuk 712-749, Republic of<br />

Korea.<br />

2 School of Biological Sciences and Technology, Chonnam National University, Gwangju 500-757, Republic of Korea.<br />

3 Faculty of Applied Chemical Engineering, Chonnam National University, Gwangju 500-757, Republic of Korea.<br />

Accepted 7 October, 2011<br />

A novel cellulose-producing organism was isolated <strong>from</strong> the liquid part of a 3-year ripened persimmon<br />

vinegar, which belonged to the family of Acetobacteracea based on its morphological and physiological<br />

characteristics. The phylogenetic position of the isolated strain was most closely related to<br />

Gluconacetobacter intermedius TF2 T (99.929%), hence, it was specifically named as Gluconacetobacter<br />

sp. RKY5. Although the traditional bacterial cellulose (BC) production medium (Hestrin and Schramm<br />

medium) was used, the amount of BC produced under a static culture condition reached 5.0 g L -1 . The<br />

X-ray diffraction pattern and scanning electron micrograph of the BC produced revealed that it was<br />

composed of ribbon-shaped fibrils with the network structure and pure cellulose without any other<br />

impurities.<br />

Key words: Bacterial cellulose, Gluconacetobacter; 16S rRNA gene sequence analysis, phylogeny, persimmon<br />

vinegar.<br />

INTRODUCTION<br />

Bacterial cellulose (BC) is widely used in the traditional<br />

dessert ‘nata de coco’, a food product of the Philippines,<br />

and it was first confirmed as cellulose in 1886 (Keshk et<br />

al., 2006; Kuga and Brown, 1988). The BC, a biopolymer<br />

produced by several strains of acetic acid bacteria, has<br />

same chemical structure compared to plant-derived<br />

cellulose, which is a homogeneous polymer composed of<br />

β-1,4-glycosidic linkages between the glucose molecules<br />

(Ross et al., 1991; Watanabe et al., 1998). Paper and<br />

textile industries require a significant amount of the plantderived<br />

cellulose, which leads to a considerable demand<br />

on wood biomass (Vamdamme et al., 1998). Thus, the<br />

production of BC could be an interesting substitute for the<br />

plant-derived cellulose. The BC is distinguished <strong>from</strong> the<br />

plant-derived cellulose by its high degree of poly-<br />

*Corresponding author. E-mail: yjwee@ynu.ac.kr,<br />

hwryu@chonnamac.kr. Tel: +82-53-810-2951, +82-62-530-<br />

1842. Fax: +82-53-810-4662.<br />

merization, high purity, its high water-holding capacity<br />

and free <strong>from</strong> lignin and hemicellulose (Yoshinaga et al.,<br />

1997; Shoda and Sugano, 2005; Son et al., 2003). In<br />

addition, BC has high polymer crystallinity and excellent<br />

physicochemical characteristics superior to the plantderived<br />

cellulose (Guhados et al., 2005), which makes<br />

the BC an ideal material for a wide variety of applications.<br />

There are many commercial applications of the BC such<br />

as audio headphone diaphragm, additives for food and<br />

paper products, and thickener for paint (Huang et al.,<br />

2010; Iguchi et al., 2000; Ross et al., 1991; Vandamme et<br />

al., 1998; Yamanaka et al., 1989). Presently, the BC finds<br />

its potential applications in biomedical industries such as<br />

skin substitute for wound dressing, scaffold material for<br />

tissue engineering and tissue repair (Christner et al.,<br />

1999; Czaja et al., 2006; Suehiro et al., 2007; Svensson<br />

et al., 2005).<br />

The BC was produced traditionally by acetic acid<br />

bacteria which were classified into four genera based on<br />

their 16S rRNA gene sequences. The four genera of<br />

acetic acid bacteria include Acetobacter, Acidomonas,


16268 Afr. J. Biotechnol.<br />

Gluconobacter, and Gluconacetobacter (Yamada et al.,<br />

1997). Although the taxonomic classification of acetic acid<br />

bacteria is still a subject of controversy, the species of the<br />

genus Gluconacetobacter (formerly Acetobacter) is one<br />

of the most frequently characterized acetic acid bacteria<br />

for BC production (Yeo et al., 2004). Another minor BC<br />

producers include the genera Agrobacteria, Rhizobia,<br />

and Sarcina, but the acetic acid bacteria like the genus<br />

Gluconacetobacter have been mainly employed for BC<br />

production as they have superior BC production ability to<br />

other BC producers (Jung et al., 2005). Recently, the<br />

mass production of BC by Gluconacetobacter species<br />

has been extensively studied, but the current production<br />

cost of the BC remains too high to make it commercially<br />

available and the production titer of the BC reported so<br />

far is relatively low (Vandamme et al., 1998).<br />

The present study shows a novel BC-producing<br />

bacterium isolated <strong>from</strong> the Korean traditional persimmon<br />

vinegar, which has high ability to produce BC. The<br />

isolated strain was morphologically, physiologically or<br />

biochemically, and phylogenetically characterized. An<br />

attempt was also made to elucidate the properties of the<br />

BC produced by the isolated strain compared to the plantderived<br />

cellulose.<br />

MATERIALS AND METHODS<br />

Isolation of the bacterial cellulose producer<br />

The BC-producing bacteria were isolated according to the method<br />

described by Son et al. (2002). The parts of liquid and solid of the<br />

Korean traditional persimmon vinegar ripened for 1, 2 and 3 years<br />

were inoculated into Hestrin and Schramm (HS) medium (pH 6.0)<br />

which contained 20 g L -1 glucose, 5 g L -1 yeast extract, 5 g L -1<br />

peptone, 2.7 g L -1 Na2HPO4 and 1.15 g L -1 citric acid monohydrate<br />

(Hestrin and Schramm, 1954), and they were incubated statically at<br />

30°C. The culture broth in which a lot of pellicles were formed was<br />

transferred to the fresh HS medium, and it was incubated at 30°C<br />

for 1 week. The supernatant of culture broth which formed the<br />

highest amount of bacterial cellulose was selected. The resultant<br />

broth was then plated on MRS agar medium containing 10 g L -1<br />

peptone, 10 g L -1 beef extract, 5 g L -1 yeast extract, 20 g L -1 glucose,<br />

1 g L -1 polysorbate 80, 5 g L -1 ammonium citrate, 5 g L -1 sodium<br />

acetate, 0.1 g L -1 MgSO4, 0.1 g L -1 MnSO4, 2 g L -1 K2HPO4 and 20 g<br />

L -1 agar. Nine colonies were selected and inoculated to the HS<br />

medium. The most potent bacterial cellulose producer was selected<br />

and designated RKY5.<br />

Culture conditions and biochemical characteristics<br />

The isolated strain RKY5 was kept on 50% (v/v) glycerol at -70°C,<br />

and 1% of this stock was inoculated into 50 ml HS medium in a<br />

250-ml Erlenmeyer flask, which was incubated at 30°C and 150<br />

rpm for 48 h on a rotary shaker (KMC-8480SF; Vision Scientific Co.,<br />

Daejeon, Korea). The culture flask was shaken vigorously to<br />

release the cells <strong>from</strong> the cellulose pellicles. The cell suspension<br />

was then filtered with the 12 layers of sterilized gauge, and 2% (v/v)<br />

of the filtrate was used as an inoculum for BC production.<br />

The biochemical characteristics of the isolated strain were<br />

determined according to the Bergey’s Manual of Systematic<br />

Bacteriology (De Ley et al., 1984). The ability of oxidation of<br />

ethanol, acetate, and lactate was investigated. The oxidation of<br />

ethanol into acetic acid was confirmed by observing the color<br />

change of Carr medium which was composed of 20 ml L -1 ethanol,<br />

30 g L -1 yeast extract, 0.022 g L -1 bromocresol green and 20 g L -1<br />

agar. A medium composed of sodium acetate or sodium lactate (2 g<br />

L -1 ), peptone (3 g L -1 ), bromothymol blue (0.02 g L -1 ) and agar (20 g<br />

L -1 ) was utilized to check the oxidation of lactate and acetate, as the<br />

color of the medium changes <strong>from</strong> yellow to green when lactate or<br />

acetate is oxidized. The isolated strain was cultured statically at<br />

30°C for 5 to 7 days in the GYC agar medium containing 5 g L -1<br />

glucose, 5 g L -1 yeast extract, 5 g L -1 CaCO3, and then the<br />

formation of water-soluble brown pigments was investigated. In<br />

order to evaluate ketogenesis <strong>from</strong> glycerol, the isolate strain was<br />

incubated at 30°C for 3 to 5 days in the YEG agar medium which<br />

contained 10 g L -1 yeast extract, 30 g L -1 glycerol and 20 g L -1 agar.<br />

The ketogenesis <strong>from</strong> glycerol can be confirmed by the addition of a<br />

few drops of Fehling’s solution to the medium, as the color of the<br />

medium changes to orange.<br />

PCR amplification and sequencing of 16S rRNA gene<br />

Two universal oligonucleotide primers, 27f (5’-AGAGTTTGAT<br />

CMTGGCTCAG-3’) and 1542r (5′-AGAAAGGAGGTGATCCAGCC-<br />

3′), were used for amplification of the 16S rRNA gene. The PCR<br />

amplifications were conducted in a reaction mixture containing 0.2<br />

mM dNTP, 0.4 µM each primer, 5 µl 10× PCR buffer, 1.5 mM MgCl2<br />

and 1 U Taq DNA polymerase. The amplified gene products were<br />

purified and subcloned into the plasmid pCR 2.1-TOPO (Invitrogen,<br />

Life Technologies, CA, USA) transformed into the competent cells,<br />

DH5α. The colorless transformants with the recombinant plasmids<br />

were selected <strong>using</strong> X-gal-containing medium and confirmed by<br />

their insert size. The restriction pattern of the cloned DNA<br />

sequencing of both DNA strands of clones was carried out<br />

according to the dideoxy chain termination method (Sanger et al.,<br />

1977). DNA sequencing was conducted on an ABI PRISM 377<br />

automatic DNA sequencer (Perkin-Elmer, Boston, MA, USA).<br />

Phylogenetic analysis<br />

The 16S rRNA gene sequence of the isolated strain was aligned<br />

with the 16S rRNA gene sequences of Gluconacetobacter species<br />

and other related taxa <strong>using</strong> CLUSTAL X software (ver. 1.8). The<br />

sequences of the related taxa were obtained <strong>from</strong> the GeneBank<br />

database. The nucleotide sequences of the type strains were<br />

available under their accession numbers. The similarity values of<br />

the 16S rRNA gene sequences were calculated <strong>from</strong> the multiple<br />

alignments. The software package MEGA (ver. 5.0) was used to<br />

construct phylogenetic tree through the neighbor-joining method.<br />

The stability of the relationships was assessed by a bootstrap<br />

analysis of 1,000 data sets.<br />

Analytical methods<br />

The cell growth was determined by measuring the optical density at<br />

660 nm <strong>using</strong> a UV-1600 spectrophotometer (Shimadzu, Kyoto,<br />

Japan) after the culture broth was treated with 0.1% (v/v) cellulase<br />

(Celluclast; Novo Nordisk A/S, Denmark). The samples were<br />

incubated at 50°C with shaking at 200 rpm for 3 h to hydrolyze the<br />

BC completely. The dry cell weight (g L -1 ) was then calculated <strong>using</strong><br />

a standard curve of the relationship between the optical density and<br />

dry cell weight. The gelatinous cellulose pellicle on the surface of<br />

the static culture was picked up with tweezers. After the BC was<br />

separated <strong>from</strong> the culture broth, the pellicles were washed with tap<br />

water to eliminate the medium components, and treated with 0.3 M<br />

NaOH at 80°C for 20 min to lyse the cells. The solution was then


Table 1. Isolation of BC producer <strong>from</strong> the persimmon vinegar.<br />

Sample (persimmon vinegar)<br />

Sampling part Ripen year<br />

Liquid<br />

Solid<br />

BC production<br />

1 +*<br />

2 ++**<br />

3 +++***<br />

1 +<br />

2 +<br />

3 nd****<br />

* 0.1 to 0.5 g L -1 ; ** 0.6 to 1.0 g L -1 ; *** 1.1 to 2.5 g L -1 ; **** not detected<br />

filtered to remove the dissolved materials, and the resultant filter<br />

cake was repeatedly washed with deionized water until the pH of<br />

the filtrate became neutral. The purified BC was dried at 80°C until<br />

a constant weight was obtained. The residual glucose concentration<br />

was determined quantitatively by the enzymatic reactions of<br />

glucose oxidase-peroxidase <strong>using</strong> a glucose reagent kit (Asan<br />

Pharmaceutical, Seoul, Korea). All analyses were carried out in<br />

triplicate and the mean values were presented.<br />

Furthermore, x-ray diffractograms were recorded <strong>using</strong> an X’Pert<br />

Pro multi-purpose X-ray diffractometer at 30 V and 25 mA to<br />

facilitate an indirect comparison of the BC with filter paper<br />

(Advantec, Dublin, CA, USA) as commercial plant-derived cellulose.<br />

Scans were performed over the 5-40° (2 ) range <strong>using</strong> step 0.1° in<br />

width. The samples were fixed with 2% (w/v) glutaraldehyde and<br />

0.5% (w/v) osmium tetroxide, which were dehydrated in a graded<br />

ethanol and then critical point-dried. The samples were coated with<br />

gold (JFC-1100, Jeol, Tokyo, Japan), which were then observed<br />

<strong>using</strong> a scanning electron microscope (JSM-5400, Jeol) at 20 kV.<br />

The morphological properties of the isolated strain were examined<br />

according to the Bergey’s Manual of Systematic Bacteriology (De<br />

Ley et al., 1984).<br />

RESULTS AND DISCUSSION<br />

Isolation of a bacterial cellulose producer <strong>from</strong> the<br />

persimmon vinegar<br />

The samples were picked <strong>from</strong> the liquid and solid parts<br />

of persimmon vinegar which was ripened for 1, 2 and 3<br />

years (Table 1). The BC pellicles were observed <strong>from</strong> five<br />

samples except 3-year ripened solid part of the<br />

persimmon vinegar. Nine colonies were obtained <strong>from</strong> the<br />

3-year ripened liquid part which resulted in the most<br />

thickness BC pellicle. The abundance of BC pellicle in the<br />

liquid part might be observed because the oxygen uptake<br />

rate in the liquid part of the persimmon vinegar should be<br />

more favorable than the solid part. Those isolates were<br />

examined for BC production <strong>using</strong> the HS medium, and<br />

the strain RKY5 was used in the subsequent studies as it<br />

showed the best BC productivity.<br />

Morphological and physiological characteristics of<br />

the isolated strain<br />

The isolated strain RKY5 was found to be Gram-<br />

Wee et al. 16269<br />

negative, non-spore forming and non-motile. The cells<br />

had rod shape measuring 0.6 to 0.8 × 1.0 to 2.0 µm and<br />

occurred singly, in pairs or in chains (Table 2). The<br />

colonies of the strain RKY5 cultured on GYC agar were<br />

pale white, smooth to rough, opaque and approximately 2<br />

to 3 mm in diameter.<br />

The isolated strain RKY5 was biochemically identified<br />

<strong>using</strong> an API 20E system (bioMérieux, France) according<br />

to the manufacturer’s instructions. The biochemical<br />

properties of the isolated strain RKY5 and the control<br />

strain Acetobacter xylinum are shown in Table 2. The<br />

strain RKY5 oxidized acetate and lactate into CO2 and<br />

H2O, but the oxidase test was negative. The strain RKY5<br />

exhibited positive reaction for catalase test and the<br />

formation of cellulose, but a negative reaction for the<br />

formation of brown pigment. It produced acid <strong>from</strong> the<br />

substrates such as glucose, mannitol, sucrose,<br />

amygdalin, and arabinose. A negative reaction was<br />

recorded for urease, indole, ONPG, gelatin liquefaction,<br />

H2S, lysine decarboxylase, arginine dehydrolase, acetoin<br />

production, and citrate utilization. A positive reaction was<br />

observed for over-oxidation of ethanol and ketogenesis<br />

<strong>from</strong> glycerol. Most biochemical tests showed similar<br />

results as in the control strain according to the Bergey’s<br />

Manual of Systematic Bacteriology (De Ley et al., 1984),<br />

which suggested that the isolated strain RKY5 should be<br />

classified into the group of acetic acid bacteria,<br />

Acetobacteracea.<br />

Phylogenetic analysis<br />

The 16S rRNA gene sequences of 1,406 nucleotides<br />

were determined for the isolated strain RKY5, which was<br />

deposited to GenBank as an accession number of<br />

HQ848659. The sequence was compared with several<br />

related taxa in the NCBI database, and the similarity<br />

index compared with the related taxa is shown in Table 3.<br />

G. intermedius TF2 T and G. oboediens DSM 11826 T<br />

showed the highest similarity (99.929 and 99.858%,<br />

respectively) to the isolated strain RKY5. Figure 1 shows<br />

the phylogenetic tree derived <strong>from</strong> the 16S rRNA gene<br />

sequences of 29 type-strains, which revealed that the


16270 Afr. J. Biotechnol.<br />

Table 2. Morphological and physiological characteristics of the isolated strain.<br />

Characteristic Acetobacter xylinum*<br />

Isolated strain<br />

Cell size (µm) 0.6 - 0.8 × 1.0 - 3.0 0.6 - 0.8 × 1.0 - 2.0<br />

Cell shape Ellipsoidal to rod Rod<br />

Arrangement of cells Singly, in pairs, in chains Singly, in pairs, in chains<br />

Motility -** -<br />

Gram staining - or variable -<br />

Catalase +*** +<br />

Urease - -<br />

Cytochrome oxidase - -<br />

ONPG ( -galactosidase) - -<br />

Gelatin liquefaction - -<br />

Arginine dehydrolase - -<br />

Lysine decarboxylase - -<br />

Indole production - -<br />

H2S production - -<br />

Acetoin production - -<br />

Citrate utilization - -<br />

Oxidation of:<br />

glucose + +<br />

mannitol + +<br />

inositol - -<br />

sorbitol - -<br />

rhamnose - -<br />

sucrose + +<br />

melibiose - -<br />

amygdalin + +<br />

arabinose + +<br />

Ketogenesis <strong>from</strong> glycerol + +<br />

Formation of cellulose + +<br />

Formation of brown pigment - -<br />

Overoxidation of ethanol + +<br />

Oxidation of:<br />

lactate + +<br />

acetate + +<br />

*Bergey’s Manual of Determinative Bacteriology (De Ley et al., 1984); ** negative; *** positive.<br />

strain RKY5 was a member of the genus<br />

Gluconacetobacter and most closely related to G.<br />

intermedius TF2 T and G. oboediens DSM 11826 T . As in<br />

the physiological characteristics, it was clear that the<br />

strain RKY5 was a member of the family<br />

Acetobacteracea and the genus Gluconacetobacter.<br />

Consequently, the isolated strain RKY5 was named as<br />

Gluconacetobacter sp. RKY5 for further studies, which<br />

was deposited to the Korean Collection for Type Cultures<br />

as KCTC 10683BP.<br />

Bacterial cellulose production by Gluconacetobacter<br />

sp. RKY5<br />

The production of BC by Gluconacetobacter sp. RKY5<br />

<strong>using</strong> the HS medium was carried out in a static culture<br />

condition and the result is presented in Figure 2. The


Table 3. Similarity analysis of the isolated strain compared with the related taxa.<br />

Wee et al. 16271<br />

Strain Accession number Similarity (%) nt differences /compared<br />

Gluconacetobacter intermedius TF2 T Y14694 99.929 1/1406<br />

Gluconacetobacter oboediens DSM 11826 T AB205221 99.858 2/1406<br />

Gluconacetobacter swingsii DST GL01 T AY180960 99.573 6/1406<br />

Gluconacetobacter europaeus DSM 6160 T Z21936 99.573 6/1406<br />

Gluconacetobacter nataicola LMG 1536 T AB166743 99.573 6/1406<br />

Gluconacetobacter sucrofermentans LMG 18788 T AJ007698 99.502 7/1406<br />

Gluconacetobacter rhaeticus DST GL02 T AY180961 99.468 7/1316<br />

Gluconacetobacter xylinus NCIB 11664 T X75619 99.289 10/1406<br />

Gluconacetobacter saccharivorans LMG 1582 T AB166740 98.908 15/1374<br />

Gluconacetobacter entanii LTH4560 T AJ251110 98.649 19/1406<br />

Gluconacetobacter hansenii NCIMB 8746 T X75620 98.435 22/1406<br />

Gluconacetobacter liquefaciens IFO 12388 T X75617 97.013 42/1406<br />

Gluconacetobacter sacchari SRI 1794 T AF127407 96.864 44/1403<br />

Gluconacetobacter johannae CFN-Cf55 T AF111841 96.797 45/1405<br />

Gluconacetobacter azotocaptans CFN-Ca54 T AF192761 96.728 46/1406<br />

Ameyamaea chiangmaiensis AC04 T AB303366 96.515 49/1406<br />

Asaia spathodeae GB23-2 T AB511277 96.515 49/1406<br />

Asaia bogorensis 71 T AB025928 96.515 49/1406<br />

Tanticharoenia sakaeratensis NBRC 103193 T AB304087 96.444 50/1406<br />

Asaia siamensis S60-1 T AB035416 96.444 50/1406<br />

Asaia krungthepensis AA08 T AB102953 96.370 51/1405<br />

Swaminathania salitolerans PA51 T AF459454 96.296 52/1404<br />

Asaia lannensis BCC 15733 T AB286050 96.230 53/1406<br />

Acetobacter lovaniensis LMG 1617 T AJ419837 96.157 54/1405<br />

Acetobacter fabarum 985 T AM905849 96.157 54/1405<br />

Acetobacter estunensis LMG 1626 T AJ419838 96.085 55/1405<br />

Acetobacter syzygii 9H-2 T AB052712 96.014 56/1405<br />

Acetobacter ghanensis 430A T EF030713 96.014 56/1405<br />

Acidomonas methanolica LMG 1668 T X77468 95.590 62/1406<br />

T Type strain.<br />

stationary phase was observed after 5 days of cultivation<br />

and the dry cell weight reached a maximum value of 4.2<br />

g L -1 . The amount of BC produced increased with the cell<br />

growth, which suggested that the BC produced by<br />

Gluconacetobacter sp. RKY5 is a growth-associated<br />

product. The maximum amount of BC was 5.0 g L -1 after<br />

6 days of cultivation. As shown in Table 4, the amount of<br />

BC produced by Gluconacetobacter sp. RKY5 was<br />

relatively high when compared to that of the relevant<br />

studies (Hungund and Gupta, 2010a, b; Mikkelsen et al.,<br />

2009; Park et al., 2003; Son et al., 2003; Zhou et al.,<br />

2007).<br />

The glucose concentration in the HS medium sharply<br />

decreased for 6 days of cultivation, and then the cell<br />

growth became constant after 5 days of cultivation when<br />

most glucose was consumed. During the BC production,<br />

the pH of the HS medium decreased <strong>from</strong> 6.0 to 4.0, and<br />

then increased to 4.5 after 5 days of cultivation (data not<br />

shown). A similar result was reported in literatures, in<br />

which the decrease in medium pH could be elucidated<br />

based on glucose metabolism where some glucose was<br />

converted into gluconic acid by membrane-bound glucose<br />

dehydrogenase <strong>from</strong> the cells. The resultant<br />

gluconic acid lowers the medium pH (Krystynowicz et al.,<br />

2002; Vandamme et al., 1998). At the end of BC<br />

production, the consumption of gluconic acid by the cells<br />

may increase the medium pH.<br />

The BC film produced by acetic acid bacteria in a static


16272 Afr. J. Biotechnol.<br />

Figure 1. Neighbor-joining phylogenetic tree deduced <strong>from</strong> the 16S rRNA gene sequences representing the position of the<br />

isolated strain and other related taxa. Numbers at nodes are percentage bootstrap values based on 1,000 replications.<br />

GeneBank accession numbers of the sequences are indicated in the parentheses. Bar indicates 5 nt substitution per 1,000 nt.


(g L -1 )<br />

(day)<br />

Wee et al. 16273<br />

Figure 2. Time course of BC production by the isolated Gluconacetobacter sp. RKY5 under a static culture condition<br />

at 30°C in 250 ml Erlenmeyer flask containing 50 ml of HS medium.<br />

Table 4. Comparison of BC production in the literatures cited.<br />

Microorganism Culture type Culture time BC yield (g L -1 ) Reference<br />

Gluconacetobacter sp. RKY5 Static 6 days 5.0 This work<br />

Enterobacter amnigenus GH-1 Static 14 days 4.1 Hungund and Gupta, 2010a<br />

Gluconacetobacter xylinus (NCIM 2526) Static 14 days 3.0 Hungund and Gupta, 2010b<br />

Gluconacetobacter xylinus (ATCC 53524) Static 4 days 3.8 Mikkelsen et al., 2009<br />

Gluconacetobacter hasenii PJK Static 2 days 0.4 Park et al., 2003<br />

Acetobacter sp. V6 Agitated 8 days 3.7 Son et al., 2003<br />

Acetobacter xylinum NUST4.1 Agitated 5 days 3.7 Zhou et al., 2007<br />

culture condition is typically located on the liquid surface,<br />

and its thickness grows with the cultivation time (Borzani<br />

and de Souza, 1995). The BC pellicle produced by<br />

Gluconacetobacter sp. RKY5 was similarly located on the<br />

surface of the culture broth, which became thicker with<br />

the elapsed culture time. A structure of BC can be<br />

represented as an ultrafine net built of entangled<br />

cellulose ribbons (Krystynowicz et al., 2002). Figure 3a<br />

shows the SEM photograph of the BC produced under a<br />

static culture condition. When compared with the<br />

structure of plant-derived cellulose, as shown in Figure<br />

3b, the BC had the network structure of ribbon-shaped<br />

fibrils, which is a critical factor that determines the unique<br />

properties of reticulated BC (Krystynowicz et al., 2002).<br />

The x-ray diffractogram of the BC produced by<br />

Gluconacetobacter sp. RKY5 revealed a typical cellulose<br />

pattern (Figure 4). Also, the X-ray diffractograms of the<br />

BC sample and filter paper demonstrate three characteristic<br />

peaks, and the X-ray diffractogram of the BC<br />

sample was quite similar to that of the filter paper made<br />

of highly-purified cellulose. Thus, the aforementioned<br />

SEM and X-ray diffraction pattern suggested that the BC<br />

produced by Gluconacetobacter sp. RKY5 should be<br />

pure cellulose and free of any other impurities.<br />

Conclusion<br />

A novel BC producer was isolated <strong>from</strong> the persimmon<br />

vinegar, and it was characterized on the basis of the<br />

(g L -1 )


16274 Afr. J. Biotechnol.<br />

Figure 3. Scanning electron micrograph of (a) BC produced by Gluconacetobacter sp. RKY5<br />

and (b) filter paper. The elliptical mass shown in (a) is the cells of Gluconacetobacter sp. RKY5<br />

embedded in the BC.<br />

morphological, biochemical, and genetic identifications.<br />

The isolated strain belonged to Acetobacteracea, and it<br />

was closely related to the genus Gluconacetobacter.<br />

Thus, this isolated strain was named as<br />

Gluconacetobacter sp. RKY5. The BC production by<br />

Gluconacetobacter sp. RKY5 exhibited a growthassociated<br />

pattern. The BC produced also had the<br />

distinguished network structure of ribbon-shaped fibrils<br />

like the structure of the BC produced by other microbial<br />

sources, and it was composed of pure cellulose without


Figure 4. X-Ray diffraction patterns obtained <strong>from</strong> filter paper and BC produced by Gluconacetobacter sp. RKY5.<br />

any other impurities. It is expected that<br />

Gluconacetobacter sp. RKY5 can be used in a variety of<br />

industrial applications related to the BC production.<br />

ACKNOWLEDGEMENT<br />

This research was supported by the Yeungnam University<br />

research grants in 2009.<br />

REFERENCES<br />

Borzani W, de Souza SJ (1995). Mechanism of the film thickness<br />

increasing during the bacterial production of cellulose on non-agitated<br />

liquid media. Biotechnol. Lett. 17: 1271-1272.<br />

Christner C, Wyrwa R, Marsch S, Kullertz G, Thiericke R, Grabley S,<br />

Schumann D, Fischer G (1999). Synthesis and cytotoxic evaluation of<br />

cycloheximide derivatives as potential inhibitors of FKBDP12 with<br />

neuroregenerative properties. J. Med. Chem. 42: 3615-3622.<br />

Czaja W, Krystynowicz A, Bielecki S, Brown RM (2006). Microbial<br />

cellulose–the natural power to heal wounds. Biomaterials, 27: 145-<br />

151.<br />

De Ley J, Gillis M, Swings J (1984). Family VI. Acetobacteraceae, in<br />

Bergey’s Manual of Systematic Bacteriology, ed by Krieg NR and Holt<br />

JG. Williams Wilkins, Baltimore, USA.<br />

Guhados G, Wan WK, Hutter JL (2005). Measurement of the elastic<br />

modulus of single bacterial cellulose fibers <strong>using</strong> atomic force<br />

microscopy. Lanmuir, 21: 6642–6646.<br />

Hestrin B, Schramm M (1954). Synthesis of cellulose by Acetobacter<br />

xylinum. 2. Preparation of freeze-dried cells capable of polymerizing<br />

Wee et al. 16275<br />

glucose to cellulose. Biochem. J. 58: 345-352.<br />

Huang HC, Chen LC, Lin SB, Hsu CP, Chen HH (2010). In situ<br />

modification of bacterial cellulose network structure by adding<br />

interfering substances during fermentation. Bioresour. Technol. 101:<br />

6084-6091.<br />

Hungund BS, Gupta SG (2010a). Production of bacterial cellulose <strong>from</strong><br />

Enterobacter amnigenus GH-1 isolated <strong>from</strong> rotten apple. World J.<br />

Microbiol. Biotechnol. 26: 1823-1828.<br />

Hungund BS, Gupta SG (2010b). Strain improvement of<br />

Gluconacetobacter xylinus NCIM 2526 for bacterial cellulose<br />

production. Afr. J. Biotechnol. 9: 5170-5172.<br />

Iguchi M, Yamanaka S, Budhiono A (2000). Bacterial cellulose–a<br />

masterpiece of nature. J. Mater. Sci. 35: 261-270.<br />

Jung JY, Park JK, Chang HN (2005). Bacterial cellulose production by<br />

Gluconacetobacter hansenii in an agitated culture without living noncellulose<br />

producing cells. Enzyme Microb. Technol. 37: 347-354.<br />

Keshk SMAS, Razek TMA, Sameshima K (2006). Bacterial cellulose<br />

production <strong>from</strong> beet molasses. Afr. J. Biotechnol. 5: 1519-1523.<br />

Krystynowicz A, Czaja W, Wiktorowska-Jezierska A, Gonçalves-<br />

Miśkiewicz M, Turkiewicz M, Bielecki S (2002). Factors affecting the<br />

yield and properties of bacterial cellulose. J. Ind. Microbiol.<br />

Biotechnol. 29: 189-195.<br />

Kuga S, Brown RM (1988). Silver labeling of the reducing ends of<br />

bacterial cellulose. Carbohydr. Res. 180: 345-350.<br />

Mikkelsen D, Flanagan BM, Dykes GA, Gidley MJ (2009). Influence of<br />

different carbon sources on bacterial cellulose production by<br />

Gluconacetobacter xylinus strain ATCC 53524. J. Appl. Microbiol.<br />

107: 576–583.<br />

Park JK, Park YH, Jung JY (2003). Production of bacterial cellulose by<br />

Gluconacetobacter hansenii PJK isolated <strong>from</strong> rotten apple.<br />

Biotechnol. Bioprocess Eng. 8: 83-88.<br />

Ross P, Mayer R, Benzimann M (1991). Cellulose biosynthesis and<br />

function in bacteria. Microbiol. Rev. 55: 35-59.<br />

Sanger F, Nicklen S, Coulson AR (1977). DNA sequencing with chain


16276 Afr. J. Biotechnol.<br />

terminating inhibitors. Proc. Natl. Acad. Sci. USA 74: 5463-5467.<br />

Shoda M, Sugano Y (2005). Recent advances in bacterial cellulose<br />

production. Biotechnol. Bioprocess Eng. 10: 1-8.<br />

Son C, Chung S, Lee J, Kim S (2002). Isolation and cultivation<br />

characteristics of Acetobacter xylinum KJ-1 producing bacterial<br />

cellulose in shaking culture. J. Microbiol. Biotechnol. 12: 722-728.<br />

Son HJ, Kim HG, Kim KK, Kim HS, Kim YG, Lee SJ (2003). Increased<br />

production of bacterial cellulose by Acetobacter sp. V6 in synthetic<br />

media under shaking culture conditions. Bioresour. Technol. 86: 215-<br />

219.<br />

Suehiro A, Kanemaru S, Umeda H, Amano Y, Omori K, Ito J (2007).<br />

Bacterial cellulose: a new biomaterial for mucosal regeneration of<br />

trachea. Tissue Eng. 13: 1642.<br />

Svensson A, Nicklasson E, Harrah T, Panilaitis B, Kaplan DL, Brittberg<br />

M, Gatenholm P (2005). Bacterial cellulose as a potential scaffold for<br />

tissue engineering of cartilage. Biomaterials 26: 419-431.<br />

Vandamme EJ, De Baets S, Vanbaelen A, Joris K, De Wulf D (1998).<br />

Improved production of bacterial cellulose and its application<br />

potential. Poly. Degrad. Stab. 59: 93-99.<br />

Watanabe K, Tabuchi M, Morinaga Y, Yoshinaga F (1998). Structural<br />

features and properties of bacterial cellulose produced in agitated<br />

culture. Cellulose 5: 187–200.<br />

Yamada Y, Hoshino K, Ishikawa T (1997). The phylogeny of acetic acid<br />

bacteria based on the partial sequences of 16S ribosomal RNA: the<br />

elevation of the subgenus Gluconacetobacter to the genetic level.<br />

Biosci. Biotechnol. Biochem. 61: 1244-1251.<br />

Yamanaka S, Watanabe K, Kitamura M, Iguchi M, Mitsuhashi S, Nishi Y,<br />

Uryr M (1989). The structure and mechanical properties of sheets<br />

prepared <strong>from</strong> bacterial cellulose. J. Mater. Sci. 24: 3141-3145.<br />

Yeo SH, Lee OS, Lee IS, Kim HS, Yu TS, Jeong YJ (2004).<br />

Gluconacetobacter persimmonis sp. nov., isolated <strong>from</strong> Korean<br />

traditional persimmon vinegar. J. Microbiol. Biotechnol. 14: 276-283.<br />

Yoshinaga F, Tonouchi N, Watanabe K (1997). Research progress in<br />

production of bacterial cellulose by aeration and agitation culture and<br />

its application as a new industrial material. Biosci. Biotechnol.<br />

Biochem. 61: 219-224.<br />

Zhou LL, Sun DP, Hu LY, Li YW, Yang JZ (2007). Effect of addition of<br />

sodium alginate on bacterial cellulose production by Acetobacter<br />

xylinum. J. Ind. Microbiol. Biotechnol. 34: 483-489.


African Journal of Biotechnology Vol. 10(72), pp. 16277-16285, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.155<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Purification and characterization of an endo-1,4-βglucanase<br />

<strong>from</strong> Bacillus cereus<br />

Hong Yan 1 *, Yingjie Dai 2 *, Ying Zhang 2 , Lilong Yan 2 and Dan Liu 3<br />

1 College of Chemical and Environmental Engineering, Harbin University of Science and Technology; Key Laboratory<br />

of Green Chemical Technology of College of Heilongjiang Province, Harbin, 150080, People’s Republic of China.<br />

2 School of Resources Environment, Northeast Agricultural University, Harbin 150030, People’s Republic of China.<br />

3 Department of Life Science and Engineering, Harbin Institute of Technology, Harbin, 150001, People’s Republic of<br />

China.<br />

Accepted 24 June, 2011<br />

A cellulase produced by Bacillus cereus (B. cereus), isolated <strong>from</strong> the local soil, was purified to<br />

homogeneity <strong>from</strong> culture broth. The enzyme had a molecular mass of 51.3 kDa. The optimal cellulase<br />

activity was at pH 8 and at the temperature of 55°C. The enzyme was stable at 50°C in the pH range of 5<br />

to 9. The enzyme was stable up to 55°C above which stability decreased rapidly after incubation for 1 h.<br />

The enzyme showed the highest activity with carboxymethyl cellulose. Slight activity was also observed<br />

towards cellulose in the filter paper and xylan. For carboxymethyl cellulose, the cellulase had a Km of<br />

2.12 mg/ml and Vmax of 5.37 μg/ml·min. The activity of the enzyme was not influenced by Fe 2+ , Zn 2+ , urea,<br />

EDTA, Ca 2+ , Co 2+ , K + and Na + , but it was increased by 13% in the presence of Mn 2+ . Ba 2+ 2- 2+<br />

, C2O4 , Mg and<br />

Cu 2+ caused a loss in the enzyme activity. The FT-IR spectrum of this carboxymethyl cellulase (CMCase)<br />

showed the characteristic cellulase peaks. Infrared spectrum of the amide I and II bands of the CMCase<br />

showed that secondary structure of the CMCase mainly consists of α-helix structures in solid phase.<br />

This enzyme (the cellulase produced by B. cereus) is of high value in the industry applications (such as<br />

laundry) in the future.<br />

Key words: Cellulase, Bacillus cereus, purification, characterization.<br />

INTRODUCTION<br />

Cellulose, an abundant and renewable energy resource,<br />

can be converted into useful products such as soluble<br />

sugars, alcohols and other industrially important chemicals<br />

by enzymatic degradation (Ryu and Mandels, 1980;<br />

Mandels, 1985). Cellulolytic microorganisms are found<br />

among extremely variegated taxonomic groups. Most<br />

belong to eubacteria and fungi, such as aerobic and<br />

anaerobic bacteria (Gilkes et al., 1991), white rot fungi<br />

(Uzcategui et al., 1991), soft rot fungi (Wood et al.,1988)<br />

and anaerobic fungi (Barichievic and Calza, 1990),<br />

however, anaerobic, cellulose-degrading protozoa have<br />

also been identified in the rumen (Coleman, 1978).<br />

*Corresponding author. E-mail: dai5188@hotmail.com.<br />

Tel/Fax: +86 451 5519 1170.<br />

#Both authors contributed equally to the work.<br />

Microorganisms capable of hydrolyzing this biopolymer<br />

secrete cellulase, include three types of enzymes,<br />

namely endo-1,4-β-D-glucanase [(1, 4)-β-D-glucan glucanohydrolase,<br />

EC3.2.1.4], exo-1,4-β-D-glucanase [(1, 4)β-D-glucan<br />

cellobiohydrolase, EC3.2.1.91] and βglucosidase<br />

[β-D-glucoside glucohydrolase, EC3.2.1.21]<br />

(Wood, 1985).<br />

Cellulases have attracted much attention because of<br />

their diverse practical applications and the need to<br />

understand the mechanisms of their hydrolysis of plant<br />

carbohydrate polymers (Bhat and Bhat, 1997). The major<br />

industrial applications of cellulases are in the textile<br />

industry for “bio-polishing” of fabrics and producing<br />

stonewashed look of denims, as well as in household<br />

laundry detergents for improving fabric softness and<br />

brightness (Cavaco-Paulo, 1998). Besides, they are used<br />

in animal feeds for improving the nutritional quality and<br />

digestibility, in the processing of fruit juices and in baking.<br />

De-inking of paper is yet another emerging application


16278 Afr. J. Biotechnol.<br />

(Tolan and Foody, 1999). An area where cellulases would<br />

have a central role is the bioconversion of renewable<br />

cellulosic biomass to commodity chemicals (Gilbert and<br />

Hazlewood, 1993; Lark et al., 1997; Gong et al., 1997;<br />

Gong et al., 1999; Himmel et al., 1999). The cellulases<br />

that are used for these industrial applications are<br />

generally <strong>from</strong> fungal sources (Tolan and Foody, 1999).<br />

Historically, Bacillus species are a rich source of<br />

industrial enzymes (Horikoshi and Alkaliphiles, 1999;<br />

Priest, 1977), but the study of Bacillus cellulase has, until<br />

recently, lagged behind that of fungal enzymes. This is<br />

largely due to the fact that most Bacillus cellulase<br />

hydrolyzes synthetic carboxymethyl cellulose (CMC), but<br />

barely hydrolyzes the crystalline form of cellulose. These<br />

Bacillus cellulases also include the alkaline cellulases,<br />

which has the potential to be used as laundry detergent<br />

additives.<br />

The main purpose of this study was to investigate the<br />

purification procedures and the properties of the cellulase<br />

produced by Bacillus cereus. The biochemical properties<br />

of the purified enzyme and its application in the industry<br />

for the cellulase produced by B. cereus were studied.<br />

MATERIALS AND METHODS<br />

Xylan (<strong>from</strong> beechwood), p-nitrophenyl-β-D-cellobioside (pNPC), pnitrophenyl-β-D-galactopyranoside<br />

(pNPG) and mannosan were<br />

purchased <strong>from</strong> Sigma (St. Louis, MO, USA). Filter paper was <strong>from</strong><br />

Whatman (Kent, UK). Sephadex G-75 and protein MW marker was<br />

purchased <strong>from</strong> Pharmacia (Now Pfizer, NY, USA). D(-)-salicin was<br />

obtained <strong>from</strong> Aldrich (Milwaukee, MI, USA). Other chemicals used<br />

were of the purest grade commercially available.<br />

Microorganisms and culture conditions<br />

B. cereus was isolated <strong>from</strong> the local soil by the laboratory of Green<br />

Chemical Technology of College of Heilongjiang Province. The<br />

minimal medium contained (per liter): Na2HPO4 3.0 g, MgSO4·7H2O<br />

0.5 g, CaCl2 0.5 g, MnSO4·H2O 2.5 mg, ZnSO4 2.0 mg, CoCl2 3.0<br />

mg and FeSO4·7H2O 7.5 mg. Wheat bran (30 g/l) and bean cake<br />

(10 g/l) were add to supplement the minimal medium as the carbon<br />

source and nitrogen source for maximum cellulase production (unpublished<br />

data). The bacterium was grown in a 19 L stirred<br />

bioreactor (working volume was 10 L) at 30°C and pH 5 for 60 h.<br />

Oxygen concentration was kept at a minimum of 50% saturation by<br />

varying the agitation speed.<br />

Enzyme purification<br />

The culture broth (every time 200 ml) was centrifuged in a J2-21M<br />

centrifuge (Beckman, Palo Alto, CA) at 3000 rpm for 15 min at 4°C<br />

for 10 L culture broth. Ammonium sulfate was added to the<br />

supernatant at 90% saturation and the solution was stirred for 30<br />

min in an ice bath. The precipitate formed was collected by<br />

centrifugation (5000 rpm, 15 min) and dissolved in a small amount<br />

of distilled water. The solution was then dialyzed against the<br />

distilled water overnight and applied to a Sephadex G-75 column<br />

(80 × 1.6 cm) that had been pre-equilibrated with 0.02 M sodium<br />

acetate (NaAc) buffer (pH 4.8). The flow rate was 12 ml/h. The<br />

fractions showing CMCase activity were pooled and concentrated<br />

by ultrafiltration through a 10 kDa cut off membrane. This purifica-<br />

Tion procedure yielded one endoglucanase active fraction and its<br />

homogeneity was determined by SDS-PAGE and HPLC.<br />

Enzyme assay<br />

Endo-β-1,4-glucanase activity was assayed by incubating 1 ml of<br />

the isolated enzyme (suitably diluted) with 1 ml of 1% (W/V)<br />

carboxymethyl cellulose in NaAc buffer (0.02 M, pH 4.8) at 50°C for<br />

30 min (Ghose, 1987). The amount of reducing sugar produced was<br />

measured by the 3, 5-dinitrosalicylic (DNS) reagent method (Miller,<br />

1959).<br />

Hydrolytic activities of the enzyme towards salicin, mannan,<br />

xylan, p-nitrophenyl-β-D-cellobioside (pNPC) (Desphander, 1984)<br />

and p-nitrophenyl-β-D-galactopyranoside (pNPG) (Tilbeurog and<br />

Claeysseus, 1985), were determined by replacing carboxymethyl<br />

cellulose with 1% (W/V) of the respective substrate in the same<br />

buffer.<br />

To determine the enzyme activity towards the cellulose in filter<br />

paper (FPA), 50 mg Whatman No. 1 filter paper, 1 ml of 0.02 M<br />

NaAc buffer (pH 4.8) and 1 ml of the enzyme solution (suitably<br />

diluted) were mixed in a tube, which was incubated for 1 h at 50°C<br />

by the method of Eriksson et al. (1990). The reducing sugars<br />

produced during incubation were assayed with the same method as<br />

described.<br />

To determine the enzyme activity towards the cellulose in cotton,<br />

50 mg absorbent cotton, 1 ml of 0.02 M NaAc buffer (pH 4.8) and 1<br />

ml of the enzyme solution (suitably diluted) were mixed in a tube,<br />

which was incubated for 24 h at 50°C according to the method of<br />

Vallander and Eriksson (1985). The reducing sugars produced<br />

during incubation were assayed with the same method as<br />

described.<br />

The cellulase activity towards microcrystalline cellulose was<br />

assayed by incubating 1 ml of 2% (W/V) microcrystalline cellulose<br />

diluted in 0.02 M NaAc buffer at pH 4.8 with 1 ml of enzyme solution<br />

(suitably diluted) at 50°C for 2 h according to the method of<br />

Coudray et al. (1982). The samples were centrifuged at 5000 rpm<br />

for 10 min to remove the insoluble substrates. Reducing sugar in<br />

the supernatant was assayed with the DNS method.<br />

The protein concentration was examined by the Coomassie<br />

bright blue procedure (Bradford, 1976) <strong>using</strong> bovine serum albumin<br />

as the standard. One unit of enzyme activity is defined as the<br />

amounts of enzyme that liberated 1 μg of glucose in 1 min at 50°C,<br />

except for cotton; one unit of enzyme activity is defined as the<br />

amount of enzyme that liberated 1 μg of glucose in 1 h at 50°C. All<br />

the activity measurements were performed three times.<br />

Determination of purity and molecular weight<br />

The purity and molecular weight of the purified endoglucanase were<br />

determined by SDS-PAGE and gel filtration chromatography. Purity<br />

was assessed on an Agilent 1100 HPLC instrument with a multiple<br />

wavelength detector. Specifically, 5 µl was injected onto a ODS<br />

column (4.6 × 100 mm) and acetonitrile and water (70/30; V/V)<br />

were pre-mixed, degassed, filtered and used as the mobile phase<br />

at a flow rate of 1.0 ml/min.<br />

Effect of pH and temperature on the activity and stability of<br />

endoglucanase<br />

The enzyme activity was measured in the pH range of 3 to 12 with<br />

CMC as the substrate. The temperature effect was studied between<br />

35 and 80°C in 0.02 M NaAc buffer, pH 4.8 with CMC as the<br />

substrate. For stability measurements, the enzyme was incubated<br />

at different pH or temperature for a period of time before used in the<br />

activity assay.


Table 1. Summary of the purification steps of endoglucanase <strong>from</strong> B. cereus.<br />

Purification step<br />

Total protein<br />

(mg)<br />

Total activity<br />

(IU/ml)<br />

Specific activity<br />

(IU/mg)<br />

Purification<br />

fold<br />

Culture broth 181.73 6357.00 34.98 1.00 100.00<br />

Precipitation 42.52 3688.68 86.75 2.48 58.03<br />

SephadexG-75 7.93 1005.24 126.83 3.63 15.81<br />

66.2 kDa<br />

45.0 kDa<br />

35.0 kDa<br />

25.0 kDa<br />

Figure 1. SDS-PAGE of purified endoglucanase.<br />

Lane 1 and 2: purified sample.<br />

Effects of metals, surfactants and chelating agents<br />

Metals ions, surfactants and chelating agents (10 mM) were added<br />

to endoglucanase solutions and the remaining activity was<br />

measured in 0.02 M NaAc buffer (pH 4.8) at 50°C for 30 min with<br />

CMC as the substrate.<br />

FTIR spectrum of the endoglucanase<br />

Fourier-transform infrared spectra (FT-IR) were obtained with a<br />

Magna-IR 560 E.S.P spectrometer. The wave number scanning<br />

range was 4000 and 600 cm -1 . After homogenizing, KBr disks<br />

containing the freeze-dried enzyme were made for the IR<br />

measurement.<br />

RESULTS AND DISCUSSION<br />

Purification of endoglucanase<br />

Marker 1 2<br />

After cultivating B. cereus in a medium containing wheat<br />

bran and bean cake as the respective carbon source and<br />

nitrogen source for 60 h, the extracellular cellulase (FPA)<br />

was detected at 16.94 IU/ml in the culture broth. The<br />

typical purification steps of endoglucanase are<br />

Yan et al. 16279<br />

Yield<br />

(%)<br />

summarized in Table 1. The crude extract <strong>from</strong> the culture<br />

medium underwent one-step purification by gel filtration.<br />

The purified endoglucanase proteins showed a single<br />

band on SDS-PAGE and had a molecular mass of 51.3<br />

kDa (Figure 1), which is higher than that of the previously<br />

reported endoglucanases (23 to 43 kDa) produced by<br />

Bacillus sp. (Chan and Au, 1987; Ozaki and Ito, 1991;<br />

Hakamada et al., 2002; Kim and Pack, 1988), but it is<br />

lower than that produced by Bacillus pumilus<br />

(Christakopoulos et al., 1999). The purity of the purified<br />

enzyme was determined to be 92.83% by HPLC (Figure<br />

2). About 15.81% of the enzyme activity, with an overall<br />

purification of 3.63 fold, was recovered (Table 1).<br />

Substrate specificity<br />

The enzyme was active towards the hydrolysis of CMC,<br />

but not active in the hydrolysis of microcrystalline<br />

cellulose, cotton cellulose, mannan, pNPC and pNPG<br />

(Table 2). Using CMC as the substrate at concentrations<br />

of 2 to 10 mg/ml, Km and Vmax of the enzyme were<br />

determined through the Lineweaver-Burk double<br />

reciprocal plot of the initial reaction rates at different<br />

substrate concentrations. The cellulase <strong>from</strong> B. cereus<br />

exhibited a Km of 2.12 mg/ml for CMC at pH 4.8 and<br />

50°C. This value (2.12 mg/ml) is significantly higher than<br />

those reported earlier for other Bacillus endoglucanases<br />

(0.59 to 1.60 mg/ml) (Paul et al., 1999; Kim and Pack,<br />

1988; Sharma et al., 1990). The Vmax of the reaction was<br />

5.37 μg/ml·min.<br />

The purified enzyme exhibited low levels of activity<br />

towards filter paper and xylan, indicating that the enzyme<br />

has weak activity in the hydrolysis of crystalline cellulose<br />

and hemicellulose. The substrate specificities of various<br />

cellulases is important (Crispen et al., 2000), because it<br />

is now generally accepted that the synergism between<br />

different enzymes is required to achieve cellulose<br />

hydrolysis (Wood and Garcia-Campayo, 1990). Enzymes<br />

with overlapping specificities have been reported (Gilbert<br />

and Hazlewood, 1993). The ability to degrade crystalline<br />

cellulose is commonly regarded as the synonymous with<br />

exoglucanases (Beldman et al., 1985). It has been shown<br />

that the endoglucanases <strong>from</strong> Bacillus sp. and fungi<br />

exhibited filter paper hydrolyzing activity in addition to the<br />

CMCase activity, because these endoglucanases also<br />

had exoglucanase activity in the same molecule (Han et<br />

al., 1995; Kim, 1995). Among the endoglucanases <strong>from</strong>


16280 Afr. J. Biotechnol.<br />

Relative activity (%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

Figure 2. HPLC chromatogram of the purified endoglucanase.<br />

Table 2. Activity of the cellulase <strong>from</strong> Bacillus cereus towards various<br />

substrates.<br />

Substrate Activity (IU/ml)<br />

Whatman filter paper 0.13<br />

Microcrystalline cellulose 0<br />

Cotton 0<br />

Xylan 0.05<br />

Mannosan 0<br />

Carboxymethyl cellulose 4.38<br />

p-Nitrophenyl- -D-cellobioside (pNPC) 0<br />

p-Nitrophenyl- -D-galactopyranoside (pNPG) 0<br />

Bacilli, such property characteristic has been found in<br />

endoglucanases with sizes varying <strong>from</strong> 35 to 82 kDa<br />

(Beldman et al., 1985; Han et al., 1995). Therefore, it is<br />

likely that the purified endoglucanase <strong>from</strong> B. cereus also<br />

has weak exoglucanase activity.<br />

Effect of pH on the activity and stability of the<br />

endoglucanase<br />

The isolated CMCase exhibited optimal activity in the pH<br />

range of 7 to 9. The highest activity of the CMCase was<br />

observed at pH 8 (Figure 3). The enzyme was stable<br />

2 3 4 5 6 7 8 9 10 11 12<br />

pH<br />

between pH 5 and 9 (Figure 4) and retained 83% activity<br />

at pH 9. The stability over a broad pH range seems to be<br />

one of the characteristics of many Bacillus endoglucanases<br />

(Christakopoulos et al., 1999; Crispen et al.,<br />

2000; Hakamada et al., 2002).<br />

Effect of temperature on the activity and stability of<br />

endoglucanase<br />

The activities of the enzyme were determined at different<br />

temperatures in the range of 35 to 80°C at pH 4.8 by the<br />

method of Miller (1959). The optimal temperature of the


Relactive activity (%)<br />

Figure 3. Effect of pH on the activity of purified CMCase. Enzyme was incubated in 0.02 M<br />

buffer for 30 min at 50°C. The buffers used were citrate (pH 3.0 to 6.0), phosphate (pH 7.0<br />

to 8.0), borax-NaOH (pH 9.0), NaHCO3-NaOH (pH 10.0) and Na2HPO4-NaOH solution (pH<br />

11.0 to 12.0). The highest enzyme activity in various pH buffers was taken as 100%.<br />

Relative activity (%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

100<br />

80<br />

60<br />

40<br />

20<br />

Figure 4. Effect of pH on the stability of purified CMCase. The enzyme was incubated in 0.02<br />

M buffer for 1 h at 30°C prior to measuring the residual endoglucanase activity under standard<br />

assay conditions. The buffers used were citrate (pH 3.0 to 6.0), phosphate (pH 7.0 to 8.0),<br />

borax-NaOH (pH 9.0), NaHCO3-NaOH (pH 10.0) and Na2HPO4-NaOH solution (pH 11.0 to<br />

12.0). The original activity without incubation in various pH buffers was taken as 100%.<br />

enzyme was 55°C (Figure 5). The enzyme was stable up<br />

to 55°C. A rapid decrease in stability was observed above<br />

55°C after incubation for 1 h (Figure 6) and the enzyme<br />

was almost completely inactive at 80°C.<br />

0<br />

2 3 4 5 6 7 8 9 10 11 12<br />

pH<br />

30 35 40 45 50 55 60 65 70 75 80 85<br />

Temperature (℃)<br />

Yan et al. 16281<br />

Effect of metal ions and other reagents on the<br />

endoglucanase<br />

The purified enzyme and 10 mM metal ions and other


16282 Afr. J. Biotechnol.<br />

%T<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

4000<br />

Relative activity(%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

30 40 50 60 70 80<br />

Temperature(℃)<br />

Figure 5. Effect of temperature on the activity of purified CMCase. Enzyme activity was<br />

determined by incubating the enzyme in NaAc buffer (0.02 M, pH 4.8) containing 1% (W/V)<br />

carboxymethyl cellulose at respective temperature and assaying the reducing sugars<br />

released. The 100% enzyme activity was the maximum enzyme activity in NaAc buffer (0.02<br />

M, pH 4.8) between 35 and 80°C.<br />

3197<br />

3000<br />

Figure 6. Effect of temperature on the stability of purified CMCase. The enzyme was incubated in 0.02 M NaAc buffer (pH 4.8) at<br />

respective temperature for 30 min, prior to measuring the endoglucanase activity under standard assay conditions. The original<br />

activity without incubation in 0.02 M NaAc buffer (pH 4.8) at 50°C was taken as 100%.<br />

2000<br />

Wavenumber s ( cm- 1)<br />

1651<br />

1402<br />

1111<br />

1000<br />

618


Table 3. Effect of metal ions and other reagents on the<br />

activity of purified CMCase.<br />

Additive (10 mM) Residual activity (%)<br />

Original activity 100.00<br />

Fe 2+ 102.01<br />

Zn 2+ 100.67<br />

Urea 97.82<br />

SDS 94.97<br />

EDTA 101.84<br />

Mn 2+ 113.40<br />

Ba 2+ 60.97<br />

C2O4 2 - 62.98<br />

Mg 2+ 81.91<br />

Ca 2+ 97.82<br />

Cu 2+ 70.85<br />

Co 2+ 99.16<br />

K + 98.49<br />

Na + 97.82<br />

reagents were incubated at 50°C for 30 min and the<br />

residual endoglucanase activity was assayed with<br />

carboxymethyl cellulose as the substrate. As shown in<br />

Table 3, incubation with Fe 2+ , Zn 2+ , urea, EDTA, Ca 2+ ,<br />

Co 2+ , K + and Na + did not affect the activity of the<br />

endoglucanase. Mn 2+ ions (113.40%) caused an increase<br />

in the activity, while SDS (94.97%) caused a slight<br />

decrease. However, Ba 2+ (60.94%), C2O4<br />

2- (62.98%),<br />

Mg 2+ (81.91%) and Cu 2+ (70.85%) caused significant<br />

losses in enzyme activity. The response of the activities<br />

of CH43 and HR68 enzyme to metal ions seemed to<br />

follow a pattern resembling other Bacillus endoglucanases,<br />

most metal ions such as K + , Na + , Mg 2+ , Cu 2+ ,<br />

Ca 2+ , Ni 2+ , Zn 2+ and Fe 3+ did not influence the activity<br />

(Chan and Au, 1987). While Hg 2+ and Mn 2+ caused a<br />

decrease in the activity (Aa et al., 1994). The significant<br />

stability of the enzyme in the presence of surfactant<br />

(SDS) and chelating agent (EDTA) argues well for this<br />

endoglucanase to be used as an additive in laundry<br />

detergents.<br />

FT-IR spectrum of the endoglucanase<br />

The characteristic region of FT-IR spectrum, namely the<br />

4000 to 1330 cm -1 region (Figure 7), was analyzed. The<br />

CMCase showed a group of wide absorption peaks in the<br />

Yan et al. 16283<br />

range of 3600 to 3000 cm -1 , which was attributed to both<br />

O-H stretching vibration and N-H asymmetric vibration.<br />

The width of the absorption peak is attributed to hydrogen<br />

bonding. The presence of this broad peak indicates that<br />

the CMCase exists as a complex of individual molecules<br />

associated by hydrogen bonds in the solid phase. The<br />

absorption peak of the CMCase near 1650 cm -1<br />

attributed to the amide band I and amide band II in the<br />

main amide chain, which are mainly caused by both N-H<br />

bending vibration in plane and C=O symmetric stretching<br />

vibration. The absorption peak near 1400 cm -1 is amide<br />

band III, which is attributed to both C-N stretching<br />

vibration and N-H bending vibration in plane. The FT-IR<br />

spectrum of CMCase shows characteristic cellulase<br />

peaks. The FT-IR spectroscopic data of the CMCase also<br />

showed peaks in the fingerprint region 1330 and 400 cm -<br />

1 -1<br />

. The absorption peak near 1100 cm is caused by<br />

skeleton stretching vibration of C-N of the amino acid<br />

residues with aliphatic carbon chains and the absorption<br />

peak near 600 cm -1<br />

is caused by O=C-N bending<br />

vibration in plane. Amide band I displayed the<br />

characteristic α-helix absorption at 1650 to 1660 cm -1 and<br />

characteristic β-sheet absorption at 1630 to 1640 cm -1<br />

have been reported (Li et al., 1998); amide band I<br />

displayed that characteristic α-helix absorption at 1653±4<br />

cm -1 have been reported (Elliot and Amobrose, 1950).<br />

The FT-IR spectrum of the CMCase reveals that the<br />

absorption peak at 1651 cm -1 is the characteristic α-helix<br />

peak, which is caused by both N-H bending vibration in<br />

plane and C=O symmetry stretching vibration. We found<br />

that the characteristic peak of β-sheet was not obvious in<br />

the IR spectrum of the CMCase. Infrared spectrum of the<br />

amide I and II bands of CMCase showed that the<br />

absorption peaks at 1630 to 1640 cm -1 were weak,<br />

indicating the lack of the characteristic β-sheet structure.<br />

Therefore, it is likely that secondary structure of the<br />

CMCase mainly consists of α-helixes in the solid phase<br />

(Figure 8).<br />

Conclusions<br />

The work presented a newly isolated B. cereus. Purification<br />

and characterization of an endo-1,4-β-glucanase<br />

<strong>from</strong> B. cereus were investigated. The optimal cellulase<br />

activity was at pH 8 and 55°C. The enzyme showed the<br />

highest activity with carboxymethyl cellulose. Slight<br />

activity was also observed towards cellulose in the filter<br />

paper and xylan. The applications of this enzyme in the<br />

industry (such as laundry) (the cellulase produced by B.<br />

cereus) are importance in future.<br />

ACKNOWLEDGEMENTS<br />

This study was supported by General Program of<br />

Educational Commission of Heilongjiang Province of<br />

China (11531045).<br />

is


16284 Afr. J. Biotechnol.<br />

Absor bance<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

-2<br />

-4<br />

-6<br />

-8<br />

- 10<br />

- 12<br />

Figure 7. FT-IR spectrum of purified CMCase.<br />

mAU<br />

200<br />

175<br />

150<br />

125<br />

100<br />

75<br />

50<br />

25<br />

0<br />

Figure 8. Infrared spectrum showing the amide I and II bands of purified CMCase.<br />

3000<br />

0.617<br />

0.772 1.006<br />

2000<br />

Wavenumber s ( cm- 1)<br />

1. 1.<br />

0 0.5 1 1926<br />

1.5 2 2.<br />

8 8<br />

5<br />

1000<br />

mi


REFERENCES<br />

Aa K, Flengsrud R, Lindahl V, Tronsmo A (1994). Characterization of<br />

production and enzyme properties of an endo- β-1,4-glucanase <strong>from</strong><br />

Bacillus Subtilis CK-2 isolated <strong>from</strong> compost soil. Antonie van<br />

Leeuwenhoek, 66: 319-326.<br />

Barichievic EB, Calza RE (1990). Supernatant protein and cellulose<br />

activities of the anaerobic ruminal fungus Neocallimastix frontalis EB<br />

188. Appl. Environ. Microbiol. 56: 43-48.<br />

Beldman G, Searle-van Leeuwen MF, Rombouts FM (1985). The<br />

cellulase of Trichoderma viride. Purification, characterization and<br />

comparison of all detectable endoglucanases, exoglucanases and βglucosidases.<br />

Eur. J. Biochem. 146: 301-308.<br />

Bhat MK, Bhat S (1997). Cellulose degrading enzymes and their<br />

potential industrial applications. Biotechnol. Adv. 15: 583-620.<br />

Bradford MM (1976). A rapid and sensitive method for the determination<br />

of microgram quantities of protein utilizing the principle of protein-dye<br />

bingding. Anal. Biochem. 72: 248-254.<br />

Cavaco-Paulo A (1998). Mechanism of cellulase action in textile<br />

processes. Carbohydr. Polym. 37: 273-277.<br />

Chan KY, Au KS (1987). Purification and properties of endo-1,4-βglucanase<br />

<strong>from</strong> Bacillus subtilis. J. Gen. Microbiol. 133: 2155-2162.<br />

Christakopoulos P, Hatzinikolaou DG, Fountoukidis G (1999).<br />

Purification and mode of action of an alkali-resistant endo-1,4-βglucanase<br />

<strong>from</strong> Bacillus pumilus. Arch. Biochem. Biophys., 1: 61-66.<br />

Coleman GS (1978). The metabolism of cellulose, glucose, and starch<br />

by the rumen biliate protozoa Eudiplodinium maggii. J. Gen.<br />

Microbiol. 107: 359-366.<br />

Coudray MR, Canevascini G, Meier H (1982). Characterization of a<br />

cellobiose dehydrogenase in the cellulolytic fugus Sporotrichum<br />

(Chrysosporium) thermophile. Biochem. J. 203: 217-284.<br />

Crispen M, Rajni HK, Remigio Z (2000). Purification and<br />

characterization of cellulases produced by two Bacillus strains. J.<br />

Biotechnol. 83: 177-187.<br />

Desphander MV (1984). An assay for selective determination of endo-<br />

and exdo-β-1,4-glucanase. Anal. Biochem. 138: 481-487.<br />

Elliot A, Amobrose EJ (1950). Structure of synthetic polypeptides.<br />

Nature, 165: 921-922.<br />

Eriksson KEL, Blanchette RA, Ander P (1990). Microbial and Enzymatic<br />

degradation of wood and wood components. Springer-verlag. Berlin<br />

Heidelberg, p. 407.<br />

Ghose TK (1987). Measurement of cellulase activities. Pure Appl.<br />

Chem. 59: 257-268.<br />

Gilbert HJ, Hazlewood GP (1993). Bacterial cellulases and xylanases. J.<br />

Gen. Microbiol. 139: 187-194<br />

Gilkes NR, Kilburn DG, Miller Jr. RC (1991). Bacterial cellulases.<br />

Bioresour. Technol. 36: 21-35.<br />

Gong CS, Cao NJ, Tsao GT (1997). Biological production of 2,3butanediol<br />

<strong>from</strong> renewable biomass. Fuel chem. Biomass, 666: 280-<br />

293.<br />

Gong CS, Cao NJ, Tsao GT (1999). Ethanol production <strong>from</strong> renewable<br />

resources. Adv. Biochem. Eng. Biot. 65: 207-241.<br />

Hakamada Y, Endo K, Takizawa S (2002). Enzyme properties,<br />

crystallization, and deduced amino acid sequence of an alkaline<br />

endoglucanase <strong>from</strong> Bacillus circulans. Biochimica et Biophysica<br />

Acta (BBA) - General Subjects, 1570: 174-180.<br />

Han SJ, Yoo YJ, Kang HS (1995). Characterization of a bifunctional<br />

cellulase and its structural gene. J. Biol. Chem. 270: 26012-26019.<br />

Yan et al. 16285<br />

Himmel ME, Ruth MF, Wyman CE (1999). Cellulase for commodity<br />

products <strong>from</strong> cellulosic biomass. Curr. Opin. Biotech. 10: 358-364.<br />

Horikoshi K, Alkaliphiles J (1999). Some applications of their products<br />

for biotechnology. Microb. Mol. Boil .R. 63: 735-750.<br />

Kim CH (1995). Characterization and substrate specificity of an endo-β-<br />

1,4-D-glucanase I (Avicelase I) <strong>from</strong> an extracellular multienzyme<br />

complex of Bacillus circulans. Appl. Environ. Microbiol. 61: 959-965.<br />

Kim H, Pack MY (1988). Endo-β-1,4-glucanase encoded by Bacillus<br />

subtilis gene cloned in Bacillus megaterium. Enzyme Microb. Tech.<br />

10: 347-351.<br />

Lark N, Xia YK, Qin CG (1997). Production of ethanol <strong>from</strong> recycled<br />

paper sludge <strong>using</strong> cellulase and yeast, Kluveromyces marxianus.<br />

Biomass Bioenerg. 12: 135-143.<br />

Li X, Lin W, Gao P (1998). Endoglucanase S, a novel endocellulase<br />

exhibiting exocellulase activity <strong>from</strong> a newly isolated Streptomyces<br />

sp. LX. J. Appl. Microbiol. 85: 347-356.<br />

Mandels M (1985). Application of cellulases. Biochem. Soc. 13: 414-<br />

416.<br />

Miller GL (1959). Use of the dinitrosalicylic acid reagent for the<br />

determination of reducing sugars. Anal. Chem. 31: 426-428.<br />

Ozaki K, Ito S (1991). Purification and properties of an acid endo-β-1,4glucanase<br />

<strong>from</strong> Bacillus sp. KSM-330. J. Gen. Microbiol. 137: 41-48.<br />

Paul C, Dimitris GH, George F (1999). Purification and mode of action<br />

of an alkali-resistant endo-1,4-β-glucanase <strong>from</strong> Bacillus pumilus.<br />

Arch. Biochem. Biophy. 364: 61-66.<br />

Priest FG (1977). Extracellular enzyme synthesis in the genus bacillus.<br />

Bacteriol. Rev. 41: 711-753.<br />

Ryu DDY, Mandels M (1980). Cellulase complex: Biosynthesis and<br />

applications. Enzyme Microb. Tech. 2: 91-102.<br />

Sharma P, Gupta JK, Vadehra DV (1990). Purification and properties of<br />

an endoglucanase <strong>from</strong> a Bacillus isolate. Enzyme Microb. Tech. 12:<br />

132-137.<br />

Tilbeurog H, Claeysseus M (1985). Detection and differentitation of<br />

cellulases <strong>using</strong> on molecular fluoregenec substrate. FEBS. Letters,<br />

187: 283-288.<br />

Tolan JS, Foody B (1999). Cellulase <strong>from</strong> submerged fermentation, Adv.<br />

Biochem. Eng. Biot. 65: 41-67.<br />

Uzcategui E, Ruiz A, Montesino R, Johansson G and Pettersson G<br />

(1991). The 1,4-β-D-glucan cellobiohydrolases <strong>from</strong> Phanerochaete<br />

chrysosporium. I. A system of synergistically acting enzymes<br />

homologous to Trichoderma reesei. J. Biotechnol. 19: 271-286.<br />

Vallander L, Eriksson KE (1985). Enzymic saccharification of pretreated<br />

wheat straw. Biotechnol. Bioeng. 27: 650-659.<br />

Wood TM (1985). Properties of cellulolytic enzyme system. Biochem.<br />

Soc. 13: 407-410.<br />

Wood TM, Garcia-Campayo V (1990). Enzymology of cellulose<br />

degradation. Biodegradation, 1: 147-161.<br />

Wood TM, Mccrae SI, Wilson CA (1988). Aerobic and anaerobic fungal<br />

cellulases, with special reference to their mode of attack on<br />

crystalline cellulose. FEMS. Symp. 43: 31-52.


African Journal of Biotechnology Vol. 10(72), pp. 16286-16294, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1605<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Chemical composition of Hirsutella<br />

beakdumountainsis, a potential substitute for<br />

Cordyceps sinensis<br />

Rong Li 1,2 , Yu Zhao 3 and Xiaolu Jiang 2 *<br />

1 Tsingtao Brewery Company Limited, Qingdao 266000, China.<br />

2 College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China.<br />

3 College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266003, China.<br />

Accepted 21 September, 2011<br />

A strain of Hirsutella beakdumountainsis parasitized on Antheraea pernyi pupa was isolated <strong>from</strong> the<br />

fruiting body. The objective of this work was to optimize the artificial cultivation condition for the<br />

fruiting bodies of H. beakdumountainsis and compare the compositions of natural fruiting bodies of<br />

Cordyceps sinensis (NFCS), mycelia <strong>from</strong> shake culture (SCHS) and the fruiting bodies <strong>from</strong> artificial<br />

cultivation (ACHS) of H. beakdumountainsis. The crude protein of NFCS accounted for 22.97%;<br />

obviously lower than those of SCHS (27.99%) and ACHS (31.89%). The contents of total and essential<br />

amino acids were in the following descending order: SCHS>ACHS>NFCS, respectively. The total<br />

content of five nucleosides in SCHS (16.82 mg/g) was significantly higher than those of NFCS (5.08<br />

mg/g) and ACHS (4.45 mg/g). The content of D-mannitol in NFCS, SCHS and ACHS was 8.9, 11.5 and<br />

10.2%, respectively. The above results suggest that H. beakdumountainsis can probably be used as a<br />

substitute for C. sinensis.<br />

Key words: Hirsutella beakdumountainsis, Cordyceps sinensis, protein, amino acid, nucleoside, D-mannitol.<br />

INTRODUCTION<br />

Cordyceps sinensis (Bark) Sacc. Link (Claviceptaceae)<br />

(Ascomycetes), one of the well-known traditional Chinese<br />

medicines, is an insect parasitizing fungus. This fungus<br />

lives primarily on the head of the larva of one particular<br />

species of moth, Hepialus armoricanus, but is also<br />

occasionally found growing on other moth species (Zhu<br />

et al., 1998). It is commonly used in China to replenish<br />

the kidney and soothe the lung for the treatment of<br />

fatigue, night sweating, hyposexualities, hyperglycemia,<br />

hyperlipidemia, asthemia after severe illness, respiratory<br />

disease, renal dysfunction and renal failure, arrhythmias<br />

and other heart disease, and liver disease<br />

(Pharmacopoeia of the People’s Republic of China,2005).<br />

Modern pharmacological studies revealed that it has a<br />

broad medicinal effect, and its function of immunity<br />

regulation plays an important role in antitumor effects and<br />

*Corresponding author. E-mail: rongli1011@gmail.com. Tel:<br />

+86 532 82032290. Fax: +86 532 82032389.<br />

organ transplantation (Ma et al., 2001; Shi, 2005).<br />

Furthermore, modern experimental methods in biochemistry<br />

have proved that C. sinensis consists of active<br />

constituents such as polysaccharides, mannitol,<br />

nucleosides, ergosterol, amino acids and trace elements<br />

(Cai et al., 2003; Kiho et al, 1999; Zhi et al., 1991).<br />

However, its usage has been limited during the past<br />

decades due to the high price and the difficulty of its<br />

supply. Therefore, the isolation of anamorph strain <strong>from</strong><br />

C. sinensis is a trend of many scientists to achieve a<br />

large-scale production of mycelia by fermentation.<br />

Nevertheless, the major problem here is that there are 22<br />

hyphomyces <strong>from</strong> 13 genera that are associated with the<br />

anamorph of C. sinensis. A correct anamorphic isolate of<br />

it is thus of highest priority. On the basis of morphological<br />

and molecular evidence, Hirsutella sinensis (Liu et al.,<br />

2004) is currently considered as the correct anamorph of<br />

C. sinensis (Jiang and Yao, 2002). Unfortunately, fewer<br />

studies have been done on the fermentation by H.<br />

sinensis. In addition, the production of fruiting bodies of<br />

C. sinensis in artificial culture has proved to be extremely


difficult and only feasible at laboratory scale. Successful<br />

cultivation for commercial purpose has not yet been<br />

achieved (Yin and Tang, 1995).<br />

A strain of H. beakdumountainsis parasitized on<br />

Antheraea pernyi pupa was collected in Baekdu<br />

Mountain, China. It was isolated <strong>from</strong> the fruiting body.<br />

The strain was identified by Prof. Jiang X.L. (Ocean<br />

University of China). The optimization fermentation<br />

condition for the mycelia of H. beakdumountainsis has<br />

already been achieved in the previous study (Rong et al.,<br />

2010). After fermentation of the strain for four days, the<br />

mycelia biomass yield reached 10.06 g/L. Hence, the<br />

objective of the present research was to optimize the<br />

artificial cultivation condition for the fruiting bodies and<br />

analyze the chemical compositions of mycelia <strong>from</strong> shake<br />

culture (SCHS) and the fruiting body of artificial<br />

cultivation (ACHS), which were compared with that of the<br />

natural fruiting bodies of C. sinensis (NFCS) in order to<br />

find a new substitute of C. sinensis.<br />

MATERIALS AND METHODS<br />

Strain and samples<br />

The mycelia of H. beakdumountainsis were produced by shake<br />

culture. The fruiting bodies of the strain were produced by artificial<br />

cultivation. Samples before experiments, except by specific<br />

indication, were subjected to a dry oven at 60°C for 24 h. The<br />

natural fruiting bodies of C. sinensis (NFCS) were purchased in<br />

Tibet and identified. The materials were milled in a mortar and dried<br />

prior to analysis.<br />

Shake culture method<br />

The stock culture was maintained on potato dextrose agar (PDA)<br />

slants, which were incubated at 24°C for 15 day and then stored at<br />

4°C. Each 250 ml flask with 100 ml of liquid special media was<br />

inoculated with mycelia mat (ca. 10 cm 2 ) <strong>from</strong> a plate culture and<br />

incubated on a shaker at 180 rpm for seven days at 2°C. About 10<br />

ml of the seeding culture was transferred to a 500 ml flask with 200<br />

ml incubated on a shaker at 180 rpm for four days at 24°C. The<br />

culture medium contained sucrose (2.5%), yeast extract (0.5%),<br />

K2HPO4 (0.2%), and MgSO4 (0.05%). The initial pH was adjusted to<br />

5.5 before sterilization. The mycelia were collected by filtering<br />

mycelia through filter paper (Whatman No.1) and drying to a<br />

constant weight at 70°C overnight. All samples were stored at 4°C.<br />

Artificial cultivation method<br />

The process of producing H. beakdumountainsis fruiting bodies was<br />

the same as for other cultivated edible mushrooms. The method<br />

used was the cooked rice in bottle procedure, which was most<br />

widely adopted for commercial production (Zhang, 2005). The<br />

process can be divided into two major stages. The first step was<br />

preparing the seeding culture. The inoculation seeds were<br />

supported by the process of shake culture. Then, we prepared the<br />

rice medium as the second step. The rice medium included 30 g<br />

rice, the powder of A. pernyi pupa and 50 ml nutrient solution, which<br />

was composed of peptone (0.5%), sucrose (2%), K2HPO4 (0.15%),<br />

MgSO4 (0.05%) and vitamin B1 (0.001%). The entire medium was<br />

added to the bottles, sterilized at 120°C for 2 h, and cooled to room<br />

Li et al. 16287<br />

temperature. After inoculation of 10 ml of the seeding culture, the<br />

rice was incubated at 25°C for approximately one week until<br />

mycelia appeared at the surface of the rice. Then the bottles were<br />

arranged under light (500xl) and the fruiting bodies maturated for<br />

about 45 days.<br />

Analytical methods<br />

Protein analysis<br />

Protein was analyzed according to the Micro-Kjeldahl method<br />

(Micro-Kjeldahl apparatus 1030, Tecator Company, Sweden).<br />

Protein content was calculated <strong>using</strong> nitrogen factor (6.25).<br />

Amino acid analysis<br />

Amino acids were determined <strong>using</strong> an automatic amino acid<br />

analyzer (Beckman 6300, Beckman Instrument, Fullerton, CA)<br />

according to the method described by Moore and Stein (1963) and<br />

Danell and Eaker (1992). Hydrolysis of the samples was performed<br />

in the presence of 5.5 mol/L HCl at 120°C for 24 h under a nitrogen<br />

atmosphere. The hydrolysate was evaporated and the residue was<br />

redissolved in 1 ml 0.02 mol/L HCl. The sample was filtered through<br />

a 0.45 μm filter membrane prior to analysis.<br />

Nucleoside analysis<br />

Adenosine, guanosine, uridnine, cytidine and inosine used as<br />

reference substances, were purchased <strong>from</strong> Sigma. Accurate<br />

amounts of nucleosides were dissolved in mobile phase to give<br />

various concentrations for calibration. Samples were extracted by<br />

ultra-sonication with 70% aqueous EtOH for 30 min and filtered<br />

through a 0.45 μm filter membrane prior to analysis. Analysis was<br />

performed <strong>using</strong> high performance liquid chromatography (HPLC)<br />

Agilent 1100 with diode-array detection. A pre-packed RP column<br />

Waters Spherisorb ODS (4.6 × 250mm i.d., 5 μm) was used.<br />

Solvents that constituted the mobile phase were Water (A) and<br />

methanol (B). The elution conditions applied were: 0 to 15 min,<br />

linear gradient 5 to 20% B; 15 to 25 min, linear gradient 20 to 80%<br />

B; 25 to 30 min, linear gradient 80 to 5% B. The flow rate was 1<br />

ml/min, and the injection volume was 10 μl. The analytes were<br />

monitored at 254 nm.<br />

D-Mannitol analysis<br />

The content of mannitol in each sample was determined <strong>using</strong><br />

colorimetric method (Li et al., 1999). In brief, for the contents of<br />

mannitol, 1 ml of the solution containing 0.4 mg of extract and 1 ml<br />

of 0.015 mol/L periodate potassium were mixed. After 10 min, 2 ml<br />

of 5.5 mmol/L rhamnose and 4 ml of fresh Nash reagent (1000 ml of<br />

2 mol/l ammonium acetate mixed with 2ml of acetic acid and 2 ml of<br />

acetyl acetone) were added to the mixture which was placed in a<br />

water bath at 53°C for 15 min. The absorbance was measured at a<br />

wavelength of 413 nm on a APL-752 spectrophotometer (Shanghai,<br />

China). A blank test was prepared by substituting distilled water for<br />

the extract solution. A standard curve was prepared <strong>using</strong> a<br />

mannitol standard. 1 ml of solution containing up to 50 mg/ml of<br />

mannitol was determined by the above method and the mannitol<br />

content of samples was calculated by the linear regression equation<br />

<strong>from</strong> the standard curve.<br />

Statistical analysis<br />

The data was statistically analyzed according to Minitab 15.0 for


16288 Afr. J. Biotechnol.<br />

Fruiting bodies dry<br />

weight (g/bottle)<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

dry<br />

(g/bottle)<br />

0<br />

0 5 10 15 20 25 30<br />

Antheraea pernyi pupa powder(g/bottle)<br />

Figure 1. Effect of A pernyi pupa powder on the fruiting bodies growth. All points represent the mean<br />

± SD of triplicates.<br />

windows (Minitab Inc., USA). Significant differences between any<br />

two means were determined at the 0.05 level.<br />

RESULTS AND DISCUSSION<br />

Optimization of artificial cultivation condition<br />

It was reported that the content of A. pernyi pupa powder<br />

was the important factor for fruiting bodies production in<br />

C. militaris (Wang and Yang, 2006). As illustrated in<br />

Figure 1, the maximum yield of fruiting bodies was 2.78<br />

g/bottle, when we added 20 g A. pernyi pupa powder in<br />

the medium. Nevertheless, the yield of fruiting bodies<br />

decreased to 1.96 g/bottle, when the medium included 30<br />

g A. pernyi pupa powder. After 45 days cultured on the<br />

optimized condition, the fruiting bodies were matured,<br />

which were the same as the natural ones <strong>from</strong> the<br />

original sample in the morphology (Figures 2 and 3).<br />

The composition analysis<br />

Crude protein<br />

Crude protein contents in NFCS were significantly<br />

different <strong>from</strong> those of SCHS and ACHS. They were in<br />

the following descending order: ACHS> SCHS>NFCS.<br />

Crude protein contents of ACHS and SCHS were 31.89<br />

and 27.99%, respectively, higher than those of NFCS<br />

(22.97%). Previous papers reported that the content of<br />

crude protein in C. sinensis was in the range of 20.06 to<br />

33.00% (Hsu et al., 2002; Ji et al., 1999). The protein<br />

content is mainly due to different geographical origins.<br />

Amino acids<br />

Over 20% of amino acids can be found in Cordyceps,<br />

which should be responsible for the tonic and immunopotentiating<br />

activity of Cordyceps (Li et al., 2006). Amino<br />

acid content and composition in NFCS, ACHS and SCHS<br />

are presented in Table 1. There are statistically significant<br />

differences in the contents of total amino acids between<br />

NFCS and SCHS. The contents of the total and essential<br />

amino acids in SCHS were 28.18 g/100 g and 7.50 g/100<br />

g, respectively; highest among the three samples. As<br />

illustrated in the Figure 4, the compounds percentage of<br />

the total amino acids was similar in NFCS, SCHS and<br />

ACHS. The four principal amino acids were glutamic acid,<br />

arginine, aspartic acid and valine. However, their levels<br />

were different in NFCS, SCHS and ACHS as showed in<br />

Table 1; glutamic acid: 1.39, 5.85, 5.23(g/100 g); arginine:<br />

1.35, 4.35, 2.00(g/100 g), aspartic acid: 1.43, 2.40,<br />

2.13(g/100 g); valine: 1.05, 2.19, 1.66(g/100 g),<br />

respectively. Glutamine acid is the most abundant<br />

compound in ACHS and SCHS, representing 24 and 21%<br />

of total compounds (Figure 4). In addition, the level of<br />

total amino acids in the NFCS was about 12.99(g/100 g)<br />

in the study; lower than 16.4 to 18.1(g/100 g) as reported<br />

(Hsu et al., 2002). It is found that the content of amino<br />

acids in C. sinensis after hydrolysis is mostly 20 to 25%;<br />

the lowest being 5.53%, and the highest being 39.22% (Ji<br />

et al., 1999).<br />

Nucleosides<br />

Nucleosides are one of the major components in<br />

Cordyceps. Adenosine, inosine or cordycepin are used as


Figure 2. The matured fruiting bodies after artificial cultivation for 45<br />

days.<br />

Figure 3. The original sample collected in Baekdu Mountain, China.<br />

Li et al. 16289


16290 Afr. J. Biotechnol.<br />

%<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

Table 1. Amino acid composition of NFCS, SCHS and ACHS (g/100 g).<br />

Amino acid NFCS SCHS ACHS<br />

Aspartic acid 1.43 b 2.40 a 2.13 a<br />

Threonine 0.75 b 1.42 a 1.16 a<br />

Serine 0.75 b 1.48 a 1.43 a<br />

Glutamic acid 1.39 b 5.85 a 5.23 a<br />

Glycine 0.65 b 1.50 a 1.20 a<br />

Proline 0.45 b 0.86 a 0.70 a<br />

Alanine 0.81 b 1.39 a 1.43 a<br />

Valine 1.05 c 2.19 a 1.66 b<br />

Methionine 0.41 a 0.26 b 0.21 b<br />

Isoleucine 0.46 c 0.81 a 0.62 b<br />

Leucine 0.83 c 1.28 a 1.00 b<br />

Tyrosine 0.36 b 0.59 a 0.73 a<br />

Phenylalanine 0.58 a 0.61 a 0.54 b<br />

Lysine 0.94 a 0.93 a 0.97 a<br />

Histidine 0.78 b 2.26 a 0.80 b<br />

Argnine 1.35 c 4.35 a 2.00 b<br />

Total amino acid 12.99 b 28.18 a 21.81 a<br />

Total essential amino acid 5.20 c 7.50 a 6.16 b<br />

ACHS SCHS NFCS<br />

Asp Thr Ser Glu Gly Pro Ala Val Met Ile Leu Tyr Phe Lys His Arg<br />

Compound<br />

Compound<br />

Figure 4. Amino acid profiles of NFCS, SCHS and ACHS. Asp, aspartic acid; Thr, Threonine; Ser, Serine; Glu, Glutamic<br />

acid; Gly, Glycine; Pro, Proline; Ala, Alanine; Val, Valine; Met, Methionine; Ile, Isoleucine; Leu, Leucine; Tyr, Tyrosine;<br />

Phe, Phenylalanine; Lys, Lysine; His, Histidine; Arg, Argnine.<br />

indexing ingredients for quality control, which differentiate<br />

Cordyceps <strong>from</strong> different species and the counterfeit<br />

(Gong et al., 2004; Huang et al., 2003; Li et al., 2004).<br />

Indeed, nucleosides are involved in the regulation and<br />

modulation of various physiological processes in the<br />

central nervous system (CNS). Adenosine is known to


Table 2. Composition of the five nucleosides in NFCS, SCHS and ACHS (mg/g).<br />

Nucleoside NFCS SCHS ACHS<br />

Adenosine 0.98 c 5.78 a 1.68 b<br />

Guanosine 1.63 b 5.30 a 0.48 c<br />

Uridnine 1.85 b 4.95 a 2.30 b<br />

Inosine 0.63 a 0.45 a ND<br />

Thymine ND 0.34 ND<br />

Total 5.08 b 16.82 a 4.45 b<br />

ND= non-detectable. Means (n=3) with different letters in the same row are significantly<br />

different (PACHS>NFCS. Each<br />

of the five nucleosides contents in SCHS was significantly<br />

higher than those of NFCS and ACHS. ACHS contains<br />

less nucleoside than NFCS, especially inosine, which<br />

cannot be detected in ACHS. The content of mannitol in<br />

NFCS, SCHS and ACHS was 8.9, 11.5 and 10.2%,<br />

respectively but there were no statistical differences. Our<br />

findings suggest that H. beakdumountainsis can be<br />

regarded as a potential substitute of C. sinensis.<br />

Moreover, the method of shake culture of the strain<br />

seemed better than that of artificial culture based on the<br />

content of the active compounds. In addition, more<br />

attention will be placed on other active constituents such<br />

as polysaccharides in further research, and the<br />

identification of the strain is still in process.<br />

REFERENCES<br />

Benowitz LI, Goldberg DE, Irwin N (2002). Inosine stimulates axon<br />

growth in vitro and in the adult CNS. Prog. Brain Res. 137: 389-399.<br />

Cai ZJ, Yin DH, Huang TF, Chen SJ, Li QS (2003). Comparison of the


16292 Afr. J. Biotechnol.<br />

mannitol content in Cordyceps <strong>from</strong> different growing areas. China<br />

Pharm. 14: 505-506.<br />

Danell E, Eaker D (1992). Amino acid and total protein content of the<br />

edible mushroom Cantharellus cibarius (Fries). J. Sci. Food Agric. 60:<br />

333–337.<br />

Gong YX, Li SP, Li P, Liu JJ, Wang YT (2004). Simultaneous<br />

determination of six main nucleosides and bases in natural and<br />

cultured Cordyceps by capillary electrophoresis. J. Chromatogr. A.<br />

1055: 215–221.<br />

Hsu TH, Shao LH, Hsieh CY, Chang DM (2002). A comparison of the<br />

chemical composition and bioactive ingredients of the Chinese<br />

medicinal mushroom DongChongXiaCao, its counterfeit and mimic,<br />

and fermented mycelium of Cordyceps sinensis. Food Chem. 78:<br />

463–469.<br />

Huang LF, Liang YZ, Guo FQ, Zhou ZF, Cheng BM (2003).<br />

Simultaneous separation and determination of active components in<br />

Cordyceps sinensis and Cordyceps militaris by LC/ESI-MS. J. Pharm.<br />

Biomed. Anal. 33: 1155–1162.<br />

Ji S, Shi XL, Yi J (1999). Introduction of the research status in chemical<br />

constituents of Cordyceps. J. Fujian College Tradit. Chin. Med. 9: 46–<br />

47.<br />

Jiang P (1987). Pharmacology constituent and function of Cordyceps<br />

sinensis. J. Westnorthern Med. 2: 43-44.<br />

Jiang Y, Yao YJ (2002). Name related to Cordyceps sinensis anamorph.<br />

Mycotaxon, 84: 245-254.<br />

Kiho T, Ookubo K, Usui S, Ukai S, Hirano K (1999). Structural features<br />

and hypoglycemic activity of a polysaccharide (CS-F10) <strong>from</strong> the<br />

cultured mycelium of Cordyceps sinensis. Biol. Pharm. Bull. 22: 966-<br />

970.<br />

Li SP, Li P, Dong TTX, Tsim KWK (2001). Determination of nucleosides<br />

in natural Cordyceps sinensis and cultured Cordyceps mycelia by<br />

capillary electrophoresis. Electrophoresis, 22: 144-150.<br />

Li SP, Li P, Lai CM, Gong YX, Kan KKW, Dong TTX, Tsim KWK, Wang<br />

YT (2004). Simultaneous determination of ergosterol, nucleosides<br />

and their bases <strong>from</strong> natural and cultured Cordyceps by pressurized<br />

liquid extraction and high-performance liquid chromatography. J.<br />

Chromatogr. A. 1036: 239-243.<br />

Li SP, Yang FQ, Tsim KWK (2006). Quality control of Cordyceps<br />

sinensis, a valued traditional Chinese medicine. J. Pharm. Biomed.<br />

Anal. 41: 1571-1584.<br />

Li XQ, Bao TT, Wang Y (1999). Determination of mannitol in Cordyceps<br />

sinensis by colorimetric method. Chin Tradit. Herbal Drugs, 30: 19-<br />

21.<br />

Ma DY, Li P, Ji H, Hu ZY (2001). The development on the pharmacology<br />

of Cordyceps sinensis. J. Chin. Med. 24: 455-458.<br />

Moore S, Stein WH (1963). Chromatographic determination of amino<br />

acids by the use of automatic recording equipment. Methods in<br />

enzymology, New York, Acad. Press. pp. 815-860.<br />

Pharmacopoeia of the People’s Republic of China. (2005). The<br />

pharmacopoeia Commission of PRC (Ends.), Chemical Industry<br />

Publishing House, Beijing.<br />

Rong L, Jiang XL, Guan HS (2010). Optimization of mycelium biomass<br />

and exopolysaccharides production by Hirsutella sp. in submerged<br />

fermentation and evaluation of exopolysaccharides antibacterial<br />

activity. Afr. J. Biotechnol. 9: 195-202.<br />

Schmidt C, Bellingham MC, Richter DW (1995). Adenosinergic<br />

modulation of respiratory neurones and hypoxic responses in the<br />

anaesthetized cat. J. Physiol. 483: 769-781.<br />

Shi YX (2005). Update on researches of pharmacological effects of<br />

Cordyceps. China Pharm. 14: 72-74.<br />

Wang CX, Yang CW (2006). Research on the artificial cultivation of<br />

Cordyceps sinensis. Practical Pharmacy. Clin. Remedies, 9: 111-112.<br />

Xu DC (2006). The research development on Cordyceps sinensis. J.<br />

Fugal Res. 4: 60-64.<br />

Yin DH, Tang XM (1995). Progress of cultivation research of Cordyceps<br />

sinensis. Zhongguo Zhong Yao Za Zhi, 20: 707-709.<br />

Zhang HF (2005). Study on conditions of culture on fruiting body of<br />

Cordyceps militaris. J. Jilin Med. Colle. 26: 192-194.<br />

Zhi ZL, Wang LH, Dong SS (1991). Determination of 11 metal elements<br />

in Chinese traditional medicine by use of atomic absorption<br />

spectrophotometry. J. China Pharmaceutic. Univ. 22: 33-35.<br />

Zhu JS, Halpern GM, Johns K (1998). The scientific rediscovery of an<br />

ancient Chinese herbal medicine: Cordyceps sinensis: part I. J.<br />

Altern. Complem. Med. 4: 289-303.


African Journal of Biotechnology Vol. 10(72), pp. 16293-16299, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1929<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Phenolic composition and antioxidant capacity of<br />

Cherry laurel (Laurocerasus officinalis Roem.) sampled<br />

<strong>from</strong> Trabzon region, Turkey<br />

Fatma Yaylaci Karahalil 1 * and Hüseyin Şahin 2<br />

Department of Chemistry, Faculty of Sciences, Karadeniz Technical University, 61080, Trabzon, Turkey.<br />

Accepted 30 September, 2011<br />

In this study, we investigated 17 different phenolic constituents and total antioxidant properties of<br />

cherry laurel, Laurocerasus officinalis Roem (family Rosaceae), locally named karayemis or taflan, a<br />

summer fruit highly characteristic of the Black Sea region. Phenolic constituents were measured by<br />

reverse phase-high performance liquid chromatography (RP-HPLC). Total phenolic compounds, total<br />

flavonoids, ferric reducing /antioxidant power (FRAP), cupric ion reducing capacity (CUPRAC) and 2,2diphenly-1-picrylhydrazyl<br />

(DPPH) radical methods were used to evaluate the antioxidant capacity. The<br />

total phenolics and total flavonoids were found to be 1.094 g GAE/100 g DW and 0.080 g QUE/100 g DW,<br />

respectively. Chlorogenic acid was found, that is, the main phenolic component of the methanolic<br />

extract of the fruit. Gallic, protocatechuic acid, p-OH benzoic acid, chlorogenic acid, vanillic acid, pcoumaric<br />

acid, ferulic, syringic, cathechin and rutin were detected in the samples, while caffeic acid,<br />

benzoic acid, o-coumaric acid, abscisic acid, trans-cinnamic acid, epicathecin and quercetin were not<br />

detected. The results indicate that cherry laurel fruits proved to be a good source of antioxidant that<br />

might serve to protect humans <strong>from</strong> several diseases.<br />

Key words: Cherry laurel, phenolics, flavonoids, antioxidant.<br />

INTRODUCTION<br />

Laurocerasus officinalis Roem (family Rosaceae) berries<br />

named as cherry laurel is used for cough reducing,<br />

antispasmodic and in the making of tincture of iodine in<br />

the medical field (Anşin and Özkan, 1993). Cherry laurel<br />

is a summer fruit and is grown in the Black Sea region<br />

(Ayaz et al., 1995). L. officinalis is a wild fruits of the<br />

officinalis species in the Rosaceae family and Prunoideae<br />

subfamily. It is located in the eastern Black Sea region of<br />

Turkey, some of the Balkans, Northern Ireland, Western<br />

Europe, southern and western Caucasia, Iran, eastern<br />

*Correspondence author. E-mail: fkarahalil@hotmail.com or<br />

fyaylaci@ktu.edu.tr. Tel: +904623772487. Fax:<br />

+904623253196.<br />

Abbreviations: ROS, Reactive oxygen species; PPP, pentose<br />

phosphate; RP-HPLC, reverse phase-high performance liquid<br />

chromatography; FRAP, ferric reducing/antioxidant power;<br />

CUPRAC, cupric ion reducing capacity; DPPH, 2,2-diphenly-1picrylhydrazyl;<br />

TPC, total phenolic content.<br />

Marmara, and some Mediterranean countries and is<br />

widely consumed in the eastern Black Sea region. It is<br />

known for its unique taste and ethno-pharmacological<br />

uses including its diuretic and anti-diabetic properties and<br />

for the treatment of stomach ulcers, digestive system<br />

problems, bronchitis, eczemas, and hemorrhoids<br />

(Baytop, 2001). The fruit is mostly consumed as freshly<br />

or dried as well as in the form of jam, pulp, marmalade<br />

and drinks (Kolaylı et al., 2003). The fruits are believed to<br />

be a good ethno-remedy for strengthening the defense<br />

system in human metabolism. In fact, the edible parts of<br />

the fruits have studied in recently years.<br />

Phenolics are the largest class of plant secondary<br />

metabolites, which, in many cases, serve in plant defense<br />

mechanisms to counteract reactive oxygen species<br />

(ROS) in order to survive and prevent molecular damage<br />

and damage by microorganisms, insects, and herbivores<br />

(Kolaylı et al., 2003). They are natural antioxidant either<br />

possible beneficial effects on human health and primarily<br />

synthesized by pentose phosphate (PPP), shikimate and<br />

phenylpropanoid pathways (Randhir et al., 2004; Stratil


16294 Afr. J. Biotechnol.<br />

et al., 2007).<br />

Fruits contain various bioactive compounds with antioxidant<br />

activities, such as vitamins (A, C, and E), and<br />

phenolic compounds (phenolic acids, flavonoids,<br />

flavonols, anthocyanins, tannins and lignins) that possess<br />

antioxidant activities (Liyana-Pathirana et al., 2006).<br />

Antioxidants can inhibit or delay the oxidation of an<br />

oxidize substrate and retard the progress of many<br />

diseases as well as lipid oxidative rancid in foods (Gülçin<br />

et al., 2005). The number of antioxidant compounds<br />

synthesized by plants as secondary products, mainly<br />

phenolic agents, serving in plant defense mechanisms to<br />

counteract ROS, in order to survive (Kolaylı et al., 2003).<br />

The antioxidant activity of phenolics is related to a<br />

number of different mechanisms such as free radical<br />

scavenging, hydrogen donation, single electron transfer,<br />

single oxygen quenching, and metal ion chelating, and<br />

acting as a substrate for radicals such as hydroxyl,<br />

superoxide, and nitric oxide. To summarize antioxidant<br />

agents acts as reducing agents or H- atom donor (Al-<br />

Mamary et al., 2002; Liyana-Pathirana et al., 2006;<br />

Kolaylı et al., 2008).<br />

There are number of clinical and epidemiological<br />

studies suggesting that the antioxidant in plants are main<br />

factors for the observed efficacy of these foods in<br />

reducing the incidence of chronic diseases including<br />

cancer and heart disease. The antioxidant effects and<br />

free radical scavenging activity of phenolic has been<br />

substantially investigated and reported in the literature by<br />

several researches (Peterson and Dwyer, 1998; Gülçin,<br />

2010). In another preliminary study, Kolaylı et al. (2003)<br />

studied some physical, chemical properties and mineral<br />

composition, and radicals scavenging activities (DPPH,<br />

superoxide and hydroxyl) of the fruit that collected <strong>from</strong><br />

Akçaabat, Trabzon.<br />

Although, there are a few studies evaluating antioxidant<br />

and compositional characteristics of cherry laurel varieties,<br />

the endemic fruits was not completely characterized<br />

(Alasalvar et al., 2005; Kolaylı et al., 2003). Therefore,<br />

the current study was designed to assess the phenolic<br />

composition including phenolic acids and flavonoids and<br />

in vitro biological activities, in terms of antioxidant<br />

capacity.<br />

MATERIALS AND METHODS<br />

The phenolic standards (purity> 99.0%) gallic acid, protocathechuic<br />

acid, p-hydroxybenzoic acid, vanillic acid, caffeic acid, chlorogenic<br />

acid, syringic acid, epicatechin, p-coumaric acid, ferulic acid,<br />

benzoic acid, o-coumaric acid, trans-cinnamic acid, abscisic acid,<br />

catechin, rutin, quercetin, propylparaben as <strong>internal</strong> standard (IS)<br />

and neocuproine (2,9-dimethly-1,10- phenanthroline) were obtained<br />

<strong>from</strong> Sigma-Aldrich (St. Louis, MO, USA) and Merck (Darmstadt,<br />

Germany), methanol, acetic acid, and acetonitrile <strong>from</strong> Merck<br />

(Darmstadt, Germany), Trolox (6- hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic<br />

acid), TPTZ (2, 4, 6-tripyridyl-s -triazine) and<br />

Folin-Ciocalteu’s phenol reagent <strong>from</strong> Fluka Chemie GmbH<br />

(Switzerland), polytetrafluoroethylene membranes (porosity 0.2 μm)<br />

for the filtration of the extracts were obtained <strong>from</strong> Sartorius<br />

(Goettingen, Germany).<br />

HPLC (Shimadzu LC-UV) analysis of phenolic compounds was<br />

performed on a reverse phase Zorbax Eclipse XDB-C18 column<br />

(4.6 x 150 mm, 5 µm), <strong>using</strong> a gradient program with two solvents<br />

system (A: 0.5% acetic acid in acetonitrile: water (1:1); B: 2% acetic<br />

acid in water) at a constant solvent flow rate of 1.2 mL/min. Injection<br />

volume was 20 µL. The signals were detected at 280 and 315 nm<br />

by UV-VIS detection.<br />

An ATI-Unicam UV-2 UV-Vis spectrophotometer (Cambridge,<br />

U.K.) was used in all absorbance measurements. All solutions were<br />

prepared with deionized water purified in an Elgacan C104 (Elga,<br />

England) filtration system.<br />

Samples<br />

Ripe fruits of cherry laurel (L. officinalis) were collected <strong>from</strong> Yomra,<br />

Trabzon, Turkey, after full ripening in August 2009 (Figure 1). They<br />

were kept in cool bags for transport to the biochemistry laboratory<br />

and the fruits were washed with distilled water and fruit seeds were<br />

removed then dried at 40°C for 5 days and stored at room bags at<br />

+4°C until tested.<br />

Extraction<br />

For antioxidant tests and HPLC assay, 20 g powdered of the fruit<br />

was homogenized <strong>using</strong> a blender and mixed with 150 mL of<br />

methanol on a magnetic stirrer for 3 h. The supernatant was<br />

removed by filtering through Whatman No.1 filter paper followed by<br />

centrifugation at 10 000 g for 10 min at 4°C. Then, the filtrate was<br />

concentrated in a rotary evaporator under reduced pressure at<br />

40°C and the residue was divided into two parts. One of the parts<br />

was used antioxidant tests and the other was prepared to HPLC<br />

analyses of phenolic compounds. For HPLC analyses, the residue<br />

was dissolved in distilled water and extracted 3 times with 20 mL of<br />

a mixture of cold ethyl acetate and diethyl ether 1:1 (V/V), by<br />

manually shaking. The organic phases were combined and solvents<br />

were removed with rotary evaporator. The final residue was<br />

redissolved in methanol and 100 µL samples taken <strong>from</strong> stock<br />

solution and final volume were completed to 1 mL for necessary<br />

dilution.<br />

Determination of individual phenolic compounds by high<br />

performance liquid chromatography (HPLC)<br />

HPLC (Shimadzu LC-UV) analysis of 17 phenolic compounds was<br />

performed on a reverse phase Zorbax Eclipse XDB-C18 column<br />

(4.6 x 150 mm, 5 µm), <strong>using</strong> a gradient program with two solvents<br />

system (A: 0.5% acetic acid in acetonitrile: water (1:1); B: 2% acetic<br />

acid in water) at a constant solvent flow rate of 1.2 mL/min. Injection<br />

volume was 20 µL. The signals were detected at 280 and 315 nm<br />

by UV-VIS detection.<br />

Determination of total phenolic compounds<br />

Total phenolic contents were determined by the Folin-Ciocalteau<br />

procedure (Slinkard and Singleton, 1977) <strong>using</strong> gallic acid as<br />

standard. Briefly, 0.1 mL of various concentrations of gallic acid and<br />

methanolic samples (1 mg/mL) were diluted with 5.0 mL distilled<br />

water. 0.5 mL of 0.2 N Folin-Ciocalteu reagents was added, and the<br />

contents were vortexed. After 3 min incubation, 1.5 mL of Na2CO3<br />

(2%) solution was added, and, after vortexing, the mixture was<br />

incubated for 2 h at 20°C with intermittent shaking. The absorbance<br />

was measured at 760 nm at the end of the incubation period. The<br />

concentration of total phenolic compounds was calculated as mg of


Figure 1. Location of collected cherry laurel berries.<br />

Karahalil and Şahin 16295<br />

Figure 2. HPLC profiles of methanolic phenolic compounds detected at 280 nm and propyl paraben was used an <strong>internal</strong> Standard. Zorbax<br />

Eclipse XDB-C18 column (4.6 x 150 mm, 5 µm), gradient eluent acetic acid/acetonitrile/water/, flow rate 1.2 mL/min. Peak identification: (1)<br />

gallic acid, (2) proto-catechuic acid, (3) p-OH benzoic acid, (4) catechin, (5) chlorogenic acid, (6) vanillic acid, (7) caffeic acid, (8) syringic<br />

acid, (9) epicatechin, (10) p-coumaric acid, (11) ferulic acid, (12) benzoic acid, (13) rutin, (14) o-coumaric acid, (15) cis, trans- abscisic acid,<br />

(16) trans-cinnamic acid, (17) quercetin, and (18) propyl paraben.


16296 Afr. J. Biotechnol.<br />

Table 1. HPLC analyses of phenolic<br />

constituents of the methanolic laurel cherry<br />

extracts <strong>from</strong> Black sea region of Turkey<br />

(mg/100 g dried mass).<br />

Phenolics Mass<br />

(mg/100g)<br />

Phenolic acids<br />

Gallic acid 0.02 0.01<br />

Protocatechuic acid 3.72 0.50<br />

p-Hydoxybenzoic<br />

acid<br />

8.34 0.42<br />

Chlorogenic acid 33.00 1.23<br />

Vanillic acid 7.69 0.45<br />

Syringic acid 1.30 0.15<br />

p-coumaric acid 2.55 0.60<br />

Ferulic acid 0.58 0.01<br />

Caffeic acid nd<br />

Benzoic acid nd<br />

o-coumaric acid nd<br />

Abscisic acid nd<br />

trans-cinnamic acid nd<br />

Flavonoids<br />

Catechin 3.40 0.12<br />

Rutin 0.10 0.02<br />

Quercetin nd<br />

Epicatechin nd<br />

nd: Not detected.<br />

gallic acid equivalents per g of 100 g of fresh weight (FW) samples,<br />

by <strong>using</strong> a standard graph.<br />

The total flavonoid contents of the methanolic sample were<br />

determined by the aluminum complexation method (Marcucci et al.,<br />

1998). 0.5 mL samples solution mixed with 0.1 mL of 10 aluminum<br />

nitrate (Al(NO3)3 ,


HO<br />

OH<br />

Figure 3. Chlorogenic acid.<br />

O<br />

O<br />

C<br />

H 3<br />

OH<br />

OH<br />

OH<br />

Karahalil and Şahin 16297<br />

Figure 4. A high-performance liquid chromatogram of methanolic laurel cherry extracts (UV-VIS detection at 280 nm and 315 nm).<br />

(1) gallic acid, (2) proto-catechuic acid, (3) p-OH benzoic acid, (4) catechin, (5) chlorogenic acid, (6) vanillic acid, (7) syringic acid,<br />

(8) p-coumaric acid, (9) rutin, (10) ferulic acid, (11) proply paraben.


16298 Afr. J. Biotechnol.<br />

Table 2. Antioxidant activities and total phenolic contents of the methanolic laurel cherry.<br />

Parameter<br />

Sample of<br />

Laurel cherry<br />

Total phenolic<br />

content<br />

(mgGAE/100 g DW)<br />

laurel (Ayaz et al., 1997).<br />

Total phenolic compounds (TPC)<br />

Total flavonoids<br />

content (mg<br />

QEs/100g DW)<br />

Ferric reducing/antioxidant<br />

capacity (FRAP) mM Fe(II) /100<br />

g DW<br />

Cupric reducing/antioxidant<br />

capacity (CUPRAC) mM Trolox<br />

/100 g DW<br />

1.094 0.06 0.080 0.002 28.55 2.31 24.5 3.46<br />

Total phenolic content (TPC) was determined in<br />

comparison with standard gallic acid and TPC of<br />

methanolic samples were found to be 1.094 0.06 mg<br />

GA/100 g dry weights (DW) of methanolic laurel cherry<br />

extract by <strong>using</strong> Folin-Ciocalteu method (Table 2). TPC of<br />

the fruits was found to be 10.4 mg/100 g water-soluble<br />

exracts (Kolaylı et al., 2003) and 454 mg/ 100 g fresh<br />

weight in methanolic extracts (Alasalvar et al., 2005).<br />

When compared, the previous studies about cherry laurel<br />

phenolic contents, methanolic extracts of the fruits was<br />

showed higher TPC. Plants and fruits phenolic are the<br />

largest class of plant secondary metabolites. They<br />

counteract reactive oxygen species in order to survive<br />

and prevent molecular damage by several harmful<br />

microorganisms, insects and herbivores (Kolaylı et al.,<br />

2010).<br />

Total amount of flavonoid was determined in<br />

comparison with quercetin and the result expressed in<br />

terms of mg QEs/100g DW. Total flavonoid content of the<br />

methanolic laurel cherry extracts was found to be 0.080<br />

±0.002 mg Qes/100 g DW. The measured total flavonoid<br />

content constitutes 7.3 % of total phenolic contents.<br />

Shortly, the laurel cherry fruits content several phenolic<br />

substances such as phenolic acids, anthocyanidins and<br />

only 7.3% of the fractions are flavonoids. However, we<br />

measured four individual flavonoids such as catechin,<br />

rutin, quercetin and epicatechin, and catechin was the<br />

highest. Flavonoids are mostly present as glycosides in<br />

plants and during intestinal absorption; these glycosides<br />

are mostly hydrolyzed to their agylcones (Murota and<br />

Terao, 2003).<br />

Total antioxidant capacity<br />

FRAP and CUPRAC test were used for the measurement<br />

of total antioxidant capacity of the methanolic extracts of<br />

the samples. Both methods are based on electron<br />

transfer and are considered to be a good indicator for<br />

total antioxidant power because total reducing power is<br />

the some of the reducing powers of individual compounds<br />

presented in a sample (Tezcan et al., 2011). A total<br />

antioxidant activity of the sample is given in Table 2. The<br />

cherry laurel samples examined in this study<br />

demonstrated familiar reducing capacity compared to<br />

further work (Liyana-Pathirana et al., 2006). Similar to<br />

FRAP test, CUPRAC test confirmed total antioxidant<br />

capacity of the sample and obtained values of CUPRAC<br />

result was close to each other.<br />

In conclusion, we reported that more individual phenolic<br />

compounds have been studied, comprising 13 phenolic<br />

acids and 4 flavonoids than previous studies of L.<br />

officinalis. Apart <strong>from</strong> previous studies, we found some<br />

phenolic compounds such as ferulic acid, gallic acid and<br />

rutin in a small quantity. In addition, the methanolic<br />

extracts of the samples have antioxidant activity and<br />

therefore, cherry laurel fruit provide a valuable source of<br />

nutritional supplements and required further investigation<br />

with regard to its individual anthocyanin components.<br />

REFERENCES<br />

Alasalvar C, Al-Farsi M, Shahidi F (2005). Compositional characteristics<br />

and antioxidant components of cherry laurel varieties and pekmez. J.<br />

Food Sci. 70(1): 47-52.<br />

Al-Mamary M, Al-Meeri A, Al-Habori M (2002). Antioxidant activities and<br />

total phenolics of different types of honey, Nutr. Res. 22: 1041-1047.<br />

Anşin R, Özkan ZC (1993). Seedy plants (spermatopyta) woody taxon,<br />

Karadeniz Technical University Forestry Faculty, Issue No: 19,<br />

Trabzon. (in Turkish).<br />

Apak R, Güçlü K, Özyürek M, Karademir SE (2004). Novel total<br />

antioxidant capacity index for dietary polyphenols and vitamins C and<br />

E, <strong>using</strong> their cupric ion reducing capability in the presence of<br />

neocuproine: CUPRAC Method. J. Agric. Food Chem. 52: 7970-<br />

7981.<br />

Ayaz FA, Kadioglu A, Reunanen M, Var M (1997). Phenolic acid and<br />

fatty acid composition in the fruits of Laurocerasus officinalis roem.<br />

and its cultivars. J. Food Comp. Anal. 10: 350-357.<br />

Ayaz FA, Reunanen M, Küçükislamoğlu M, Var M (1995). Seed fatty<br />

acid composition in wild form and cultivars of Lauorocerasus<br />

officinalis Roem. Pakistan J. Bot. 276(2): 305-308.<br />

Baytop T (2001). Therapy with medicinal plants in Turkey (past and<br />

present), 1st ed.; Istanbul University: Istanbul, Turkey, pp. 178-249.<br />

Benzie IFF, Straine JJ (1996). The ferric reducing ability of plasma<br />

(FRAP) as a measure of antioxidant power: The FRAP assay. Anal.<br />

Biochem. 239: 70-76.<br />

Gülçin İ (2010). Antioxidant properties of resveratrol: a structure–activity<br />

insight. Innovative Food Sci. Emerging Technol. 11: 210-218.<br />

Gülçin İ, Berashvili D, Gepdiremen A (2005). Antiradical and antioxidant<br />

activity of total anthocyanins <strong>from</strong> Perilla pankinensis Decne. J.<br />

Ethopharmacol. 101: 287-293.<br />

Kolayli S, Kara M, Tezcan F, Erim FB, Sahin H, Ulusoy E, Aliyazıcıoğlu<br />

R (2010). Comparative study of chemical and biochemical properties<br />

of different melon cultivars: Standard, hybrid, and grafted melons. J.<br />

Agric. Food Chem. 58: 9764-9769.<br />

Kolayli S, Aliyazıcıoğlu R, Ulusoy E, Karaoğlu Ş (2008). Antioxidant and<br />

antimicrobial activities of selected Turkish honeys. Hacettepe J. Biol.<br />

Chem. 36(2): 163-172.


Kolayli S, Küçük M, Duran C, Candan F, Dinçer B (2003). Chemical and<br />

antioxidant properties of Laurocerasus officinalis Roem. (cherry<br />

laurel) fruit grown in the black sea region. J. Agric. Food Chem. 51:<br />

7489-7494.<br />

Liyana-Pathirana CM, Shahidi F, Alasalvar C (2006). Antioxidant activity<br />

of cherry laurel fruit (Laurocerasus officinalis Roem.) and its<br />

concentrated juice. Food Chem. 99: 121-128.<br />

Marcucci MC, Woisky RG, Salatino A (1998). Use of aluminum chloride<br />

in the flavonoids quantification of propolis samples, Mensagem Doce,<br />

(in Portuguese). 46: 3-9.<br />

Murota K, Terao J (2003). Antioxidative flavonoid quercetin: Implication<br />

of its intestinal absorption and metabolism. Arch. Biochem. Biophys.<br />

417: 12-17.<br />

Peterson J, Dwyer J (1998). Flavonoids: Dietary occurrence and<br />

biochemical activity. Nutr. Res. 12: 1995-2018.<br />

Randhir R, Tong LY, Shetty K (2004). Stimulation of phenolics,<br />

antioxidant and antimicrobial activities in dark germinated mung bean<br />

sprouts in response to peptide and phytochemical elicitors. Process<br />

Biochem. 39: 637-646.<br />

Karahalil and Şahin 16299<br />

Stratil P, Klejdus B, Kuba V (2007). Determination of phenolic<br />

compounds and their antioxidant activity in fruits and cereals.<br />

Talanta, 71: 1741-1751.<br />

Slinkard K, Singleton VL (1977). Total phenol analysis: Automation and<br />

comparison with manual methods. Am. J. Enol. Viticult. 28: 49-55.<br />

Tezcan F, Kolaylı S, Sahin H, Ulusoy E, Erim BF (2011). Evaluation of<br />

organic acid, saccharide composition and antioxidant properties of<br />

some authentic Turkish honeys. J. Food Nutr. Res. 50: 33-40.


African Journal of Biotechnology Vol. 10(72), pp. 16300-16313, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.138<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Exhaust emissions and combustion performances of<br />

ethylene glycol monomethyl ether palm oil monoester<br />

as a novel biodiesel<br />

Da-Yong Jiang* 1 , Yun Bai 1 and He-jun Guo 2<br />

1 Research Institute of Communication, the Engineering University of CAPF, Xi’an Shaanxi, 710086, P R China.<br />

2 Xi’an Research Institute of high Technology, 503 staff room, Xi'an, Shaanxi, 710025, P.R. China.<br />

Accepted 14 October, 2011<br />

A novel biodiesel named ethylene glycol monomethyl ether palm oil monoester was developed. This<br />

fuel owns one more ester group than the traditional biodiesel. The fuel was synthesized and structurally<br />

identified through FT-IR, P1PH NMR analyses and GPC. Engine test results showed that when a tested<br />

diesel engine was fueled with this biodiesel in the place of 0# diesel fuel, engine-out smoke emissions<br />

decreased by 69.0 to 89.3%, and nitric oxide (NOx) also lessened significantly, but unburned<br />

hydrocarbon (HC) and carbon monoxide (CO) emissions generally do not change noticeably compared<br />

with pure diesel fuel. In the area of combustion performances, both engine in-cylinder pressure and its<br />

changing rate with crankshaft angle were increased to some extent for ethylene glycol monomethyl<br />

ether palm oil monoester because of the higher cetane number and shorter ignition delay. Due to<br />

certain amount of oxygen contained in the new biodiesel resulting in the low calorific value, the engine<br />

thermal efficiency dropped by 14.4% at record level when fueled with the biodiesel, which needs to be<br />

improved in the future.<br />

Key words: Biodiesel, ethylene glycol monomethyl ether palm oil monoester, engine-out emissions,<br />

combustion.<br />

INTRODUCTION<br />

In recent years, growing awareness of the complete<br />

depletion of petroleum oil in the near future and serious<br />

atmospheric pollution caused by automobile industry has<br />

inspired much research for clean alternative fuels to<br />

substitute for fossil fuels (Crooles, 2006; Pugazhvadivu<br />

and Jeyachandran, 2005; Kaplan et al., 2006). One of the<br />

most promising alternative energy sources is biodiesel.<br />

Biodiesel contains significantly less sulfur and nitrogen,<br />

which makes the fuel more environment-friendly than<br />

petroleum fuels. Because it is renewable and available<br />

worldwide, it has a bright future for practical application.<br />

A traditional biodiesel was used to be the methyl ester<br />

*Corresponding author. E-mail: wanghe717@163.com.<br />

Abbreviations: NOx, Nitric oxide; HC, hydrocarbon; CO,<br />

carbon monoxide, FT-IR; P1PH NMR; GPC, BMEP.<br />

of vegetable oil, which is prepared through transesterification<br />

of vegetable oils with alcohol. Many studies<br />

show that such biodiesel, containing certain amount of<br />

oxygen, can lead to remarkable reduction in diesel<br />

engine exhaust emissions (Usta et al., 2005; Lapuerta et<br />

al., 2005; Cetinkaya and Karaosmanoglu, 2007). Thus, it<br />

has been called a green fuel for diesel engine. However,<br />

since there is only one ester group (two oxygen atoms<br />

existing in each monoester molecule), the oxygen content<br />

in traditional biodiesel is at a comparatively lower level,<br />

so the reduction in emissions is not just as significant as<br />

anticipated when diesel engine burns it or its mixture with<br />

diesel fuel. Experiments have shown that the reduction<br />

rate in engine-out smoke emissions is correlated with the<br />

content of oxygen of the fuel.<br />

Therefore, to enhance the effect of traditional biodiesel<br />

in reducing engine-out smoke formation, the introduction<br />

of other ether group into its molecule was attempted. As


Table 1. Specification of the used chemicals.<br />

Jiang et al. 16301<br />

Chemical Density (kg/m 3 ) Boiling point (°C) Molecular weight Standard<br />

Palm Oil 917 ~ 944 - - Primes state<br />

Ethylene glycol monomethyl ether 965.0 134 76.10 Analytically pure<br />

Ethanol absolute 789 ~ 791 78 46.07 Analytically pure<br />

Potassa 950 - 23.5 Chemically pure<br />

(–OH) Absorption peak in the region of 3200~3600 cm -1 indicating that there was little fatty acid and ethanol in the treated palm oil (Figure<br />

1).<br />

Figure 1. infrared spectrogram of palm oil after treatment.<br />

is well known, palm oil comes <strong>from</strong> oil palm which is one<br />

of the plants with the highest rates of oil productivity, and<br />

it can be divided into RBD PO and RBD PKO extensively<br />

used for food. Hence, a novel biodiesel, ethylene glycol<br />

monomethyl ether palm oil monoester has been<br />

synthesized in this paper, which was also studied on the<br />

performance in reducing engine-out exhaust emissions<br />

and combustion.<br />

MATERIALS AND METHODS<br />

Preparation of palm oil monoester<br />

The new palm oil monoester was synthesized with a commercially<br />

refined palm oil and ethylene glycol monomethyl ether as reactants<br />

(Table 1). Initially, the selected palm oil was treated through<br />

extraction with ethanol as solvent at a temperature of 90°C to<br />

remove tiny amount of organic fatty acid of about 0.35 mg KOH/g in<br />

it, and was then purified under vacuum condition. FT-IR analysis<br />

justified that there was no vibration (Figure 1).<br />

The subsequent transesterification reaction was carried out in a<br />

flask with the acid-free palm oil of 600 ml and ethylene glycol<br />

monomethyl ether of 210 ml at a temperature of 80°C <strong>using</strong> 0.6%<br />

Wavelength (cm -1 )<br />

KOH as catalyst. Upon completion of the reaction which lasted for<br />

approximately 0.5 h, the crude product was first neutralized with<br />

diluted HCl solution and then separated <strong>from</strong> the water phase.<br />

Subsequently, it was purified in a vacuum to remove ethylene glycol<br />

monomethyl ether left over in the ester phase after 12 h. Finally, it<br />

was dried <strong>using</strong> CaCl2 agent, and the yield of palm oil monoester in<br />

laboratory can was close to 85%.<br />

Structure analysis<br />

The chemical structure analysis of the new palm oil monoester was<br />

conducted with FT-IR, P 1P H NMR and GPC analytical techniques<br />

(Davies and Henrissat, 1995; Yuan et al., 2008). The test conditions<br />

were also confirmed (Table 4 and Figure 3).<br />

FT-IR analysis was performed on an EQUINOX55 FT-IR<br />

spectrometer whose sample cell is KBr crystal. A superconducting<br />

NMR spectrometer of INOVA type made by VARIAN Company was<br />

employed to accomplish P 1P H NMR analysis. CDClB3B was selected<br />

as a solvent, and TMC as a standard reference. The spectrometer<br />

operating frequency was 400 MHz. The Gel permeation<br />

chromatography (GPC) 515-2410 system came <strong>from</strong> American<br />

Water Company including 515 HPLC pump, 717 auto sample, 2410<br />

refractive index detector, millennium 32 and styragel<br />

(HR2_HR3_HR4E). The experimental condition involved THF as


16302 Afr. J. Biotechnol.<br />

Table 2. Specification of DI diesel engine utilized.<br />

Parameter Magnitude Parameter Magnitude<br />

Bore 100 mm Rated speed 2300 rpm<br />

Stroke 115 mm Rated power 11 kw<br />

Connecting rod length 190 cm Combustion chamber ω shape<br />

Displacement 0.903 L Compression ratio 18<br />

For comparison study, 0# diesel fuel meeting China national technical specification was utilized and named B0. In the mean<br />

time, it was mixed with the palm oil monoester (B100) in a volume proportion of 3:1(B50) and 1:1(B25) to investigate the effect of<br />

the mixtures on engine-out exhaust emissions and combustion performances.<br />

Figure 2. IR spectrum of palm oil monoester.<br />

mobile phase, velocity of 1 ml/min and temperature detector below<br />

40°C.<br />

Engine test<br />

A single cylinder, four-stroke, water-cooled, DI diesel engine was<br />

adapted to complete determination of exhaust emissions and<br />

combustion performances. The technical parameters of the engine<br />

are tabulated in Table 2. An AVL DiSmoke 4000 smoke opacity<br />

indicator was used to record smoke intensity in extinction coefficient,<br />

and an on-line exhaust emission analyzer was utilized to examine<br />

CO, HC and NOx emitted. An angle calibration apparatus and a<br />

pressure transducer of Kistler type were used to pick up crankshaft<br />

angle and in-cylinder pressure. A CS22000 data gathering and<br />

analyzing system was utilized to process data.<br />

The engine tests were carried out under the following conditions:<br />

Ambient temperature of 23°C, humidity of 86%, and engine watercooling<br />

temperature of 95°C. In the experiment, when the engine<br />

Wavelength (cm -1 )<br />

approached a stable operation at a fixed steady state, all kinds of<br />

determinations were made according to certain well-defined<br />

procedures.<br />

RESULTS AND DISCUSSION<br />

Chemical structure<br />

Figure 2 and Table 3 list the main absorption frequencies<br />

displayed in IR spectrum obtained for the new palm oil<br />

monoester. No absorption peaks above 3100 cm -1 was<br />

found, implying that there is no hydroxyl group (-OH) in<br />

the synthesized product. Hence, it was easily confirmed<br />

that the product is an ester involving ether group.<br />

GPC can help to detect simultaneously the content of<br />

diglycerides, triglycerides, glycerol and fatty acid methyl


Figure 3. P 1P H NMR wave spectrogram of palm oil monoester.<br />

Table 3. FT-IR spectrum data of palm oil monoester.<br />

Frequency (cm -1 ) Group attribution Vibration type Strength<br />

2924.52 -CHB3B, -CHB2B BasB s<br />

2853.79 -CHB3B, -CHB2B BsB s<br />

1743.96 C=O s<br />

1462.60 -CHB2B m<br />

1378.26 -CHB3B m<br />

1166.77 C-O-C BasB m<br />

1119.05 C-O-C BsB m<br />

722.31 (CH2)n (n>4) - w<br />

Jiang et al. 16303<br />

Figure 3 and Table 4 illustrates P 1P H NMR data gained for the palm oil monoester. Chemical shift 5.342 ppm belongs to the<br />

protons attached to C=C group in the molecules, while chemical shift 4.226, 3.591 and 3.391 ppm, respectively belonged to<br />

the protons existing in the group -COOCH2CH2OCH3 in the order <strong>from</strong> the left to the right. More peaks occurring in the<br />

ester in the process of transesterification reaction with a<br />

refractive index detector. Table 5 illustrates that the main<br />

component of palm oil is fatty acid glycerin ester whose<br />

number average molecular weight mainly distributes in<br />

1426 or so, which is consistent with the known<br />

composition of palm oil. After transesterification, the peak<br />

of fatty acid ester (Mw 1426) almost disappeared, which<br />

meant that fatty acid glycerides have been transformed<br />

into fatty acid ether ester (biodiesel) thoroughly, while the<br />

peak of number average molecular weight of 566 has<br />

correspondingly appeared.<br />

Exhaust emissions<br />

Two types of engine operation modes running at 1600<br />

and 2200 rpm, respectively were selected to study the<br />

changes of exhaust emissions under different partial<br />

brake mean effective pressures (BMEP). Figure 4<br />

displays the effects of the new palm oil monoester on


16304 Afr. J. Biotechnol.<br />

Table 4. P 1P H NMR data of palm oil monoester.<br />

Chemical shift (ppm) Proton peak splitting Coupling constant (Hz) Peak area/proton number<br />

5.342 Triplet 6.4 1.281/-<br />

4.226 Triplet 3.6 1.81/2<br />

3.591 Triplet 3.6 2.00/2<br />

3.391 Singlet - 2.98/3<br />


(a) n=1 6 00 r pm<br />

(b) n = 2 2 00 rpm<br />

Figure 4. Effect of the palm oil monoester on smoke emissions.<br />

were burnt. However, in two load conditions, HC emissions<br />

increased with the oxygen content of fuel. The likely<br />

reason was attributed to the lower heating value of<br />

biodiesel. When biodiesel is mixed with diesel, the<br />

decreased ignition delay of mixture results in the<br />

reduction of heat in combustion process, so the temperature<br />

of gas starts to drop more suddenly, which<br />

Jiang et al. 16305<br />

makes the quenching layer thickening in chamber.<br />

Because fuel in quenching layer is difficult to vapor, there<br />

is increasingly unburned HC not participating in combustion<br />

as the quenching layer is thickened. When<br />

unburned HC is more than the decreased part of HC due<br />

to the extra oxygen <strong>from</strong> oxygenated fuels, HC emissions<br />

begin to increase.


16306 Afr. J. Biotechnol.<br />

Combustion performances<br />

(a) n = 1600 rpm<br />

(b) n = 2200 rpm<br />

Figure 5. Effect of the palm oil monoester on CO emissions.<br />

Figure 8 displays the test results of in-cylinder pressure<br />

when the tested diesel engine burnt B0, B25, B50, and<br />

B100 at 1600 rpm (0.49 MPa) and 2200 rpm (0.63 MPa).<br />

Pressure was not noticeably enhanced <strong>from</strong> the pressure<br />

biodiesel with the high oxygen content having more<br />

premixed combustion than diesel, which meant that the<br />

heat released was so concentrated that the maximum<br />

cylinder pressure rises. The in-cylinder peak pressure<br />

was raised about 0.3 MPa when burning B100 compared<br />

to B0 at 1600 r/min. Similar to the maximum explosion<br />

pressure at 2200 r/min, it was also clearly seen that the<br />

pressure was increased by 0.2 MPa when B100 is burnt<br />

in the place of B0.<br />

Moreover, Figure 9 exhibits the change rates of engine<br />

in-cylinder pressure with the crank angle at 1600 and<br />

2200 rpm respectively. From the two figures, it can be<br />

easily observed that in-cylinder pressure change rate was<br />

close under the engine running modes 1600 rpm, BMEP<br />

of 0.49 MPa and 2200 rpm, BMEP of 0.63 MPa when the<br />

diesel engine combusted four diesels. The two figures


(a) n = 1600 rpm<br />

(b) n = 2200 rpm<br />

Figure 6. Effect of the palm oil monoester on NOx emissions.<br />

also distinctly revealed that the ignition point of the new<br />

biodiesel and its mixture became shorter than that of<br />

diesel fuel. This meant that the new biodiesel indeed<br />

began to burn earlier than diesel fuel. Also, since the<br />

ignition point is mainly affected by the nature of the<br />

temperature and fuel, biodiesel's cetane number is higher<br />

than diesel with CN45 to 50 currently in China, so it owns<br />

good fire performance. Coupled with the temperature<br />

increased under high load, the vaporization of biodiesel<br />

was accelerated, so that premixed combustion also<br />

Jiang et al. 16307<br />

increased to make the ignition advance. The two aspects<br />

decided that ignition delay of biodiesel is less than the<br />

ordinary diesel in the conditions of high load.<br />

Furthermore, Figure 10 demonstrates the heat release<br />

rates of the diesel engine when it was fueled with the<br />

biodiesel, diesel fuel and their mixture. The heat release<br />

rate increased when the biodiesel replaced the reference<br />

diesel fuel during the experiment under two modes. Only<br />

at the mode 1600 rpm and BMEP of 0.49 MPa, was no<br />

change observed in the heat release rate. This indicated


16308 Afr. J. Biotechnol.<br />

(a) n = 1600 rpm<br />

(b) n = 2200 rpm<br />

Figure 7. Effect of the palm oil monoester on HC emissions.<br />

that the combustion velocity of the new palm oil<br />

monoester in diesel engine combustion chamber is much<br />

higher than diesel fuel as aforementioned. The reason is<br />

supposed to be that the oxygen contained in the new<br />

biodiesel is able to accelerate the engine combustion.<br />

The curves in the two figures also clearly showed that the<br />

new biodiesel indeed began to burn earlier than diesel<br />

fuel as earlier mentioned. This implies that the cetane


(a) n = 1 6 00 r pm , BMEP = 0. 49 MPa<br />

( b ) n = 22 00 r pm , BMEP = 0. 63 MPa<br />

Figure 8. Diesel engine in-cylinder pressure when burning different fuels.<br />

number of the new biodiesel is higher than that of diesel<br />

fuel. The reason why the new biodiesel has higher cetane<br />

number must be that the ether group introduced was<br />

more easily oxidized and released more heat at a given<br />

time to raise the temperature to accelerate fuel oxidation.<br />

The cetane number of the new biodiesel is being further<br />

determined in the laboratory.<br />

Jiang et al. 16309<br />

Finally, Figure 11 demonstrates the decreased engine<br />

thermal efficiency when the biodiesel and its blend with<br />

diesel fuel, respectively replaced the reference diesel fuel<br />

in the experiment. Result indicates that it decreased as<br />

the oxygen content of biodiesel fuel increases. A<br />

significant decrease by 0.62~1.11%, 3.28~5.82% and<br />

3.83~8.91% in engine thermal efficiency was also


16310 Afr. J. Biotechnol.<br />

(a) n = 1600 rpm, BMEP=0.49 MPa<br />

(b) n = 2200 rpm, BMEP=0.63 MPa<br />

Figure 9. Diesel engine in-cylinder pressure changing rate when burning<br />

different fuels.<br />

observed when the tested engine burnt B25, B50 and<br />

B100 in place of B0 at 1600 rpm. The similar result of<br />

1.47~6.19%, 4.85~10.84% and 5.64~14.4% was also<br />

attained at 2200 rpm. The reason is that the new<br />

biodiesel contains a certain amount of oxygen which can<br />

promote the more complete combustion of the biodiesel<br />

than diesel fuel. This may be due to the lower heat value<br />

of biodiesel, which causes local hypoxia in the<br />

combustion process.<br />

Conclusion<br />

A novel biodiesel named ethylene glycol monomethyl


(a) n = 1600 rpm, BMEP=0.49 MPa<br />

(b) n = 2200 rpm, BMEP=0.63 MPa<br />

Figure 10. Diesel engine heat release rate when burning different fuels.<br />

ether palm oil monoester, containing moreoxygen than<br />

traditional biodiesel has been prepared and structurally<br />

identified by three different technologies. When diesel<br />

engine was fueled with this palm oil monoester and its<br />

mixture with diesel fuel in the proportion of 1:1 or 1:3 by<br />

volume, due to certain amount of oxygen contained in<br />

them, engine-out exhaust emissions such as smoke, NOx<br />

Jiang et al. 16311<br />

was substantially reduced under partial load modes, but<br />

CO, HC emissions did not change significantly in general,<br />

but were rather raised under certain load.<br />

The combustion of the new palm oil monoester can<br />

lead to a little higher heat release rate than diesel fuel,<br />

and both engine in-cylinder pressure and its changing<br />

rate with crankshaft angle increase to some extent


16312 Afr. J. Biotechnol.<br />

(a) n = 1 6 00 r p m<br />

(b) n = 2 2 00 r p m<br />

Figure 11. Engine brake thermal efficiency when burning different fuels.<br />

because of its higher cetane number and shorter ignition<br />

delay than diesel fuel. Utilization of the new biodiesel can<br />

remarkably improve engine brake thermal efficiency,<br />

since palm oil monoester is ignited earlier during diesel<br />

engine operation.<br />

ACKNOWLEDGEMENT<br />

This research was supported by the National Natural<br />

Science Foundation of China (Grant no. 50976125).<br />

REFERENCES<br />

Crooles R (2006). New Findings on Combustion Behavior of<br />

Oxygenated Synthetic Diesel Fuels. Biomass Bioenergy, 30(4): 461-<br />

468.<br />

Cetinkaya M, Karaosmanoglu F (2007). The Effect of Oxygenated Fuels<br />

on Emissions <strong>from</strong> a Modern Heavy-Duty Diesel Engine. Energy<br />

Fuels, 19(8): 645-652.<br />

Davies G, Henrissat B (1995). Structures and mechanisms of glycosyl


hydrolases. Structure, 3(8):853-859.<br />

Kaplan G, Arslan R, Surmen A (2006). Modeling the Effects of<br />

Oxygenated Fuels and Split Injections on DI Diesel Engine<br />

Performance and Emission. Energy Sources, 28(10): 751-755.<br />

Lapuerta M, Armas O, Ballesteros R (2005). Oxygenated Fuels for<br />

Particulate Emissions Reduction in Heavy Duty DI Diesel Engines<br />

with Common Rail Fuel Injection. Fernandez Fuel, 84(2):773-780.<br />

Pugazhvadivu M, Jeyachandran K (2005). Experimental Studies of the<br />

Impact of CETANERTM on Diesel Combustion and Emission.<br />

Renewable Energy, 30(12): 2189-2202.<br />

Jiang et al. 16313<br />

Usta N, Ozturk E, Conkur E (2005). Emission Characteristics of a<br />

Navistar 7.3 L Turbo diesel Fueled with Blends of Oxygenates and<br />

Diesel. Energy Conversion Manage. 46(6):741-755.<br />

Yuan T, Yang P, Wang Y, Meng K, Luo H, Zhang W, Wu N, Fan Y, Yao<br />

B (2008). Heterologous expression of a gene encoding a<br />

thermostable beta-galactosidase <strong>from</strong> Alicyclobacillus acidocaldarius.<br />

Biotechnol Lett. 30(2): 343-348.


African Journal of Biotechnology Vol. 10(72), pp. 16314-16324, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2338<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Optimization of biodiesel production <strong>from</strong> rice bran oil<br />

via immobilized lipase catalysis<br />

Ying Xia Li 1 *, Jian Wei Yang 1 , Feng Li Hui 1 , Wei Wei Fan 1 and Ying Yang 1<br />

1 School of Life Science and Technology, Nanyang Normal University, Nanyang 473061, China.<br />

2 School of Life science, Wuhan University of Science and Technology Zhongnan Brach, Wuhan 430223, China.<br />

Accepted 5 October, 2011<br />

The lipase-catalyzed transesterification of rice bran oil and methanol for biodiesel production in hexane<br />

was investigated. The effects of different hexane weight ratio, methanol molar ratio, reaction<br />

temperature and immobilized lipase dosage on the total conversion were systematically analyzed by<br />

response surface methodology (RSM). RSM analysis showed good correspondence between<br />

experimental and predicted values. The optimal condition was 4.058 molar ratio of methanol to oil,<br />

temperature 42.295°C, 6.86% immobilized lipase and 0.624 hexane based on rice bran oil weight.<br />

Moreover, gas chromatography mass spectrometry showed that biodiesel was mainly composed of the<br />

methyl esters of hexadecanoic, 9,12-octadecadienoic and 9-octadecadienoic acid. The fourier transform<br />

infrared spectrum of biodiesel also showed the characteristic bands of C=O, O-C-O, C=C and –(CH2)n-.<br />

Key words: Rice bran oil, biodiesel, response surface methodology, gas chromatography mass spectrometry,<br />

fourier transform infrared spectrum.<br />

INTRODUCTION<br />

Biodiesel (fatty acid methyl esters) is a processed fuel<br />

mainly derived <strong>from</strong> vegetable oils, animal fats and waste<br />

oil. It can replace a significant percentage of petroleum<br />

diesel in compression ignition diesel engines due to the<br />

similarity of its properties to those of petroleum light oil<br />

(Joshi et al., 2008; Fukuda et al., 2001). Biodiesel have<br />

received considerable attention in recent years as a<br />

renewable, non-toxic and biodegradable fuel. Currently,<br />

biodiesel is produced <strong>from</strong> vegetable oils in Europe and<br />

North America, and <strong>from</strong> waste edible oil in Japan and<br />

China (Lara Pizarro and Park, 2003; Wang et al., 2007).<br />

Biodiesel <strong>from</strong> no-edible vegetable oils has emerged as a<br />

viable alternative source. Rice bran is a byproduct of rice<br />

process with about 16% fat content. The output of rice<br />

bran is about 9 million tons in China every year; therefore<br />

rice bran oil may be a source of biodiesel.<br />

Biodiesel is usually produced through transesterification<br />

with alkali catalysts because of high conversion<br />

rate. However, the alkali process has several drawbacks<br />

including energy intensiveness, difficulty of glycerol<br />

recovery, removal of the alkaline catalyst <strong>from</strong> the product<br />

*Corresponding author. E-mail: liyx108@ 163.com.<br />

and treatment of the highly alkaline wastewater (Shimada<br />

et al., 1999). Utilization of lipase as catalyst for biodiesel<br />

production has a higher potential compared with acid or<br />

alkaline as catalyst because the lipase- catalyzed<br />

process for synthesizing biodiesel can be carried out<br />

under mild conditions without producing soap, and the<br />

purification of fatty acid methyl esters is simple to<br />

accomplish (Lee et al., 2006; Jeon and Yeom, 2010;<br />

Nelson et al., 1996). However, this method has not been<br />

used in industrial production of biodiesel due to the<br />

relatively high price and short operational life. Immobilized<br />

lipases have generally been used to alter the<br />

properties of an enzyme by improving its operational<br />

stability and obtain reusable enzyme derivatives enabling<br />

the recycling of the enzyme, which reduces the operational<br />

costs and makes lipase-catalyzed reactions more<br />

attractive. A suitable reaction medium can also preserve<br />

both the catalytic activity and the stability of the enzyme<br />

in the synthetic process (Wyss et al., 2006).<br />

In this study, a response surface analysis for biodiesel<br />

production <strong>from</strong> rice bran oil with immobilized lipase was<br />

investigated. Methanol substrate molar ratio, enzyme<br />

amount, hexane amount and reaction temperature were<br />

four important parameters examined. In addition, the<br />

properties of biodiesel were also analyzed by infrared


Table 1. Independent variables and their levels for central composite design.<br />

Independent variable Code<br />

-1<br />

Variable level<br />

0 +1<br />

Methanol molar ratio X1 2 4 6<br />

Enzyme amount (%) X2 3 6 9<br />

hexane weight ratio X3 0.3 0.6 0.9<br />

Reaction temperature(°C) X4 30 40 50<br />

spectra and GC- linked mass spectrometry (GC-MS).<br />

MATERIALS AND METHODS<br />

Rice bran oil was obtained locally with average molecular weight<br />

867.90 g/mol. Lipase was <strong>from</strong> Candida rugosa. Silica was<br />

purchased <strong>from</strong> Aldrich without further purification. All other<br />

chemicals were obtained commercially and of analytical grade.<br />

Immobilization of lipase<br />

Five grams of silica was mixed with 3% methanesulfonic acid<br />

aqueous solution 102°C for 4 h with constant mixing. The silica was<br />

then washed with distilled water, dried with vacuum drier and then<br />

mixed with 3-chloropropyltrimethoxysilane and acetone at 80°C for<br />

6 h. White precipitate was collected by filtration, washed with water<br />

and dried at room temperature in air. Finally, the product was<br />

calcined in air at 500°C for 5 h in a tube furnace to remove the<br />

organic templates. The treated silica was then suspended in 20 ml<br />

of 1 mM phosphate buffer solution (pH = 7). 2 ml of glutaraldehyde<br />

(25% v/v) was added to this solution, followed by incubation at<br />

room temperature for 2 h to activate the silica which was then<br />

washed with distilled water and dried at 60°C for 2 h. Furthermore,<br />

50 mg activated silica and 50mg lipase were added to 25 ml<br />

phosphate buffer (pH = 7.0) and stirred by a magnetic stirrer at 4°C<br />

for 6 h. The supernatant was separated <strong>from</strong> solid material by<br />

centrifugation, and the solid material was washed with phosphate<br />

buffer, and then dried overnight at room temperature.<br />

Apparatus and experimental procedure<br />

The transesterification reactions were carried out in shaking flasks<br />

and heated to the reaction temperature on a reciprocal shaker. A<br />

standard reaction mixture consisted of oil, hexane, methanol and<br />

immobilized lipase. The methanol was added every 12 h. Finally,<br />

100 μL of samples were taken after 48 h and centrifuged to obtain<br />

the upper layer for gas chromatographic analysis.<br />

Experimental design<br />

A box-Behnken design was employed to study the response Y,<br />

namely methyl conversion. The independent variables were X1, X2,<br />

and X3 representing methanol substrate molar ratio, enzyme<br />

amount and reaction temperature, respectively. The settings for the<br />

independent variables were as follows (low/ high value): methanol<br />

molar ratio 2:1, 4:1, 6:1), enzyme concentration (3, 6 and 9%),<br />

hexane weight ratio (0.3, 0.6 and 0.9) and reaction temperature (30,<br />

40, 50°C). Each variable to be optimized was coded at three levels<br />

-1, 0 and +1. The experimental design is shown in Table 1. In order<br />

to avoid bias, 27 runs were performed in random order.<br />

As for the optimization for methyl ester conversion, the<br />

Li et al. 16315<br />

responses were analyzed <strong>using</strong> SPSS 16.0 and Matlab R 2009b<br />

software. A quadratic polynomial regression model was assumed<br />

for predicting response. The model proposed for each response of<br />

Y was;<br />

Y=A0+ A1X1+ A2X2+ A3X3+ A4X4+ A5X1X2+ A6X1X3+ A7X1X4+ A8X2X3+<br />

A9X2X4+ A10X3X4+ A11X1 2 + A12X2 2 + A12X3 2 + A14X4 2 (1)<br />

Where, Y is the fatty acid methyl ester (FAME) conversion<br />

percentage; A0 is constant; A1, A2, A3 and A4 are linear coefficients;<br />

A5, A6, A7, A8, A9 and A10 are cross-product coefficients; A11, A12, A13<br />

and A14 are quadratic coefficients. In addition, the fitness of the<br />

model was evaluated by the coefficient of determination (R) and the<br />

analysis of variance (ANOVA). Quadratic polynomial equations<br />

were attained by holding one of the independent variances at a<br />

constant value and changing the level of the other variables.<br />

Estimation of fatty acid methyl ester<br />

The fatty acid methyl ester content in the reaction mixture was<br />

analyzed on GC-14B gas chromatograph equipped with FFAP<br />

capillary column (0.32 mm × 25 m) and FID detector. The column<br />

temperature was kept at 150°C for 0.5 min, raised to 250°C at 15°C<br />

/min and maintained at this temperature for 10 min. The<br />

temperatures of the injector and detector were set at 245 and<br />

250°C, respectively. Nitrogen at 70 ml/min was used as the carrier<br />

gas. Pentadecanoic acid (C15:0, Sigma) methyl ester at 2 mg/ml<br />

was used as the <strong>internal</strong> standard. The conversion of biodiesel was<br />

calculated as the percentage by weight of fatty acid methyl esters<br />

formed divided by the weight of feed stock initially taken for the<br />

reaction.<br />

Composition analysis of biodiesel<br />

The composition of biodiesel <strong>from</strong> rice bran oil was analysed by<br />

Thermo trace GC-MS (DSQII) equipped with a Varian VF-5ms<br />

column. The temperature of ion source was 250°C and the<br />

scanning range was <strong>from</strong> 45 to 450.<br />

Fourier transform infrared analysis<br />

The infrared absorption spectra of the samples were obtained in a<br />

fourier transform infrared spectrometer (NICOLET 5700, Thermo<br />

Electron Corporation) <strong>using</strong> KBr tablets in the range of 4000- 400<br />

cm -1 .<br />

RESULTS AND DISCUSSION<br />

RSM model fitting<br />

The major objective of this study was the development


16316 Afr. J. Biotechnol.<br />

Table 2. Central composite design and experiment data.<br />

Run X1 X2 X3 X4 True model (%) RSM model (%) Error (%)<br />

1 -1 -1 0 0 47.4 46.66 1.56<br />

2 -1 1 0 0 55.74 53.84 3.41<br />

3 1 -1 0 0 45.68 47.30 3.55<br />

4 1 1 0 0 60.86 61.32 0.75<br />

5 0 0 -1 -1 71.93 71.35 0.81<br />

6 0 0 -1 1 67.93 67.98 0.07<br />

7 0 0 1 -1 70.86 70.47 0.06<br />

8 0 0 1 1 72.17 72.41 0.33<br />

9 -1 0 0 -1 53.74 55.58 3.42<br />

10 -1 0 0 1 54.37 54.34 0.06<br />

11 1 0 0 -1 57.58 59.11 2.66<br />

12 1 0 0 1 59.27 58.91 0.61<br />

13 0 -1 -1 0 66.09 65.95 0.21<br />

14 0 -1 1 0 54.1 55.15 1.94<br />

15 0 1 -1 0 63.45 63.98 0.74<br />

16 0 1 1 0 76.61 78.32 2.23<br />

17 -1 0 -1 0 46.34 45.1 2.68<br />

18 -1 0 1 0 53.37 50.71 4.98<br />

19 1 0 -1 0 56.45 52.99 6.13<br />

20 1 0 1 0 55.8 50.93 8.73<br />

21 0 -1 0 -1 71.44 68.68 3.86<br />

22 0 -1 0 1 70.15 66.53 5.16<br />

23 0 1 0 -1 80.4 77.84 3.18<br />

24 0 1 0 1 82.03 78.57 4.22<br />

25 0 0 0 0 89.35 89.21 0.15<br />

26 0 0 0 0 89.65 89.21 0.49<br />

27 0 0 0 0 91.02 89.21 1.99<br />

Table 3. Analysis of variance (ANOVA) for the fitted quadratic polynomial model.<br />

Model Sum of squares df Mean square F<br />

Regression 4538.989 14 324.213 45.720<br />

Residual 85.096 12 7.091<br />

Total 4624.085 26<br />

R 2 = 0.982, Adj R 2 = 0.960; **significant at 1% level.<br />

and evaluation of a statistical approach to optimize the<br />

lipase-catalyzed process. The statistical combination of<br />

the independent variables in coded and natural values<br />

along with the predicted and experimental response is<br />

presented in Table 2. The statistical significance of this<br />

model was evaluated by the F-test (Table 3), which<br />

indicated that this regression is statistically significant at<br />

99% probability level. The coefficient of determination<br />

(R 2 ) was 0.982, indicating that the model can explain<br />

982% of the variability. The regression coefficients and<br />

the corresponding significance are presented in Table 4.<br />

From the significance of each model term, it could be<br />

concluded that the regression coefficients of X1, X2 X3, X4,<br />

2 2 2 2<br />

X2X3, X1 , X2 , X3 and X4 had significant effect on the<br />

methyl ester yield.<br />

Furthermore, the experimental results (Table 2) of this<br />

analysis were used to develop a linear equation which<br />

showed the relationships between degree of conversion,<br />

molar ratio of methanol to oil, reaction temperature,<br />

hexane and catalyst concentration. By considering the<br />

coded values, the following expression was presented as<br />

follows:<br />

Y = -174.942 + 53.543X1 + 9.479X2 + 127.56X3 + 4.143X4<br />

+ 0.285X1X2 - 3.198X1X3 + 0.013X1X4 + 6.986X2X3 +<br />

2 2 2<br />

0.024X2X4 + 0.442X3X4 - 6.605X1 - 1.167X2 - 142.839X3


2<br />

- 0.058X4<br />

(2)<br />

The regression Equation (2) was solved by MATLAB 7.0<br />

software. It was indicated that the optimum parameters<br />

were 4.058 molar ratio of methanol to oil, temperature<br />

42.295°C, 6.86% immobilized lipase and 0.624 hexane<br />

weight based on rice bran oil weight. Many parameters<br />

can influence the performance of methyl ester conversion<br />

<strong>from</strong> rice bran oil. Equation 2 indicated that methyl ester<br />

conversion had a complex relationship with independent<br />

variables that encompass both first and second-order<br />

polynomials. The best way of expressing the effect of any<br />

parameter on the methyl ester yield within the experimental<br />

parameters under investigated was to generate<br />

response surface plots of the equation (Figures 1 to 3) as<br />

a function of the interactions of any two of the variables<br />

by holding the other one at middle value. From the shape<br />

of contour plots, the significance of the mutual<br />

interactions between the independent variables could be<br />

estimated. An elliptical prole of the contour plots indicates<br />

remarkable interaction between the independent<br />

variables. Figures 1 to 3 show similar relationships with<br />

respect to the effects of each variable. The response<br />

obtained were convex nature suggesting that there were<br />

well-defined optimum operating conditions.<br />

Contour plot and response surface curve indicating<br />

predicted response surface of methyl ester conversion<br />

percentage as a function of methanol molar ratio and<br />

enzyme amount is presented in Figure 1. It was shown<br />

that the methyl ester yield was sensitive to the methanol<br />

molar ratio and enzyme amount. An increase in methyl<br />

ester yield was observed with the increase of methanol<br />

molar ratio and enzyme amount at first. However, the<br />

trend was reversed when the methanol molar ratio a<br />

certain value. The molar ratio of ethanol to oil is one of<br />

Table 4. Results of regression analysis of a full second-order<br />

polynomial model.<br />

Term Coefficient estimated Significance<br />

Intercept -174.942 0.000<br />

X1 53.543 0.000<br />

X2 9.479 0.004<br />

X3 127.56 0.000<br />

X4 4.143 0.002<br />

X1X2 0.285 0.223<br />

X1X3 -3.198 0.175<br />

X1X4 0.013 0.846<br />

X2X3 6.986 0.000<br />

X2X4 0.024 0.594<br />

X3X4 0.442 0.338<br />

X1 2 -6.605 0.000<br />

X2 2 -1.167 0.000<br />

X3 2 -142.839 0.000<br />

X4 2 -0.058 0.000<br />

Li et al. 16317<br />

the most important variables affecting ester conversion.<br />

Stoichiometric ratio for methanol to oil is 3:1, while the<br />

molar ratio higher than theoretical value would be needed<br />

to drive the reaction to completion in practice<br />

(Tippayawong et al., 2005). From the results, the highest<br />

conversion was obtained at the 4.058: 1 molar ratio.<br />

Higher methanol concentrations were found to cause<br />

irreversible denaturation of the lipase. This may be due to<br />

the fact that methanol is insoluble in the oil at high concentration,<br />

which made proteins unstable and deprived<br />

“indispensable water” of enzyme (Qin et al., 2008). Also,<br />

methyl ester decreased with excessive enzyme amount<br />

due to decrease of enzyme activity caused by lipase<br />

aggregation (Masaru et al., 2001; Balaraman and<br />

Soundar, 2005). The elliptical profile of the contour plot<br />

suggested that the interaction between the methanol<br />

molar ratio and enzyme amount was strong.<br />

Interaction of methanol molar ratio and temperature on<br />

methyl ester conversion is shown in Figure 2. Influence of<br />

methanol molar ratio and temperature on production of<br />

methyl ester indicated significant variation both above<br />

and below the optimum values. Reaction temperature<br />

also had significant effect on the activity and stability of<br />

the lipase. Relative higher temperature can activate the<br />

substrate molecules, reduce the viscosity of reaction and<br />

lead to a higher conversion. However, too high temperature<br />

may lead to lipase denaturation and the loss of<br />

solvent through evaporation (Tippayawong et al., 2005).<br />

Response surface curve and contour plot showing<br />

predicted response surface of methyl ester conversion as<br />

a function of hexane content and methanol molar ratio<br />

was revealed (Figure 3). An increase in methyl ester yield<br />

was observed with the increasing of hexane, and 0.624<br />

hexane weight ratio to oil was the optimal amount for this<br />

reaction. This might be caused by the improved solubility


16318 Afr. J. Biotechnol.<br />

Figure 1. Response surface curve (A) and contour plot (B) showing predicted response surface of<br />

methyl ester conversion as a function of methanol molar ratio and enzyme amount (temperature =<br />

42.295°C, hexane weight ratio = 0.624).<br />

of methanol and glycerol in the reaction medium,<br />

therefore lipase can maintain high catalytic activity. The<br />

ME yield decreased gradually by further increasing the<br />

amount of hexane due to the dilution of reactants as more<br />

hexane present in the reaction (Zheng et al., 2009).<br />

Qualitative analysis of FAME<br />

Chromatogram of biodiesel <strong>from</strong> rice bran oil (Figure 4)<br />

showed that there were seven fatty acid methyl esters<br />

analyzed with MS (data not show). The composition of


Figure 2. Response surface curve (A) and contour plot (B) showing predicted response<br />

surface of methyl ester conversion as a function of methanol molar ratio and temperature<br />

(immobilized lipase = 6.86%, hexane weight ratio = 0.624).<br />

the biodiesel analyzed by GC-MS suggested that there<br />

were three main fatty acid methyl esters including<br />

hexadecanoic acid methyl ester (C17H34O2), 9,12-<br />

octadecadienoic acid methyl ester (C19H34O2) and 9octadecadienoic<br />

acid methyl ester (C19H36O2). These<br />

components made up more than 90% of the total<br />

biodiesel. Some minor methyl esters were also detected<br />

and shown in Table 5. Polyunsaturated fatty acids with<br />

Li et al. 16319<br />

four or more double bonds, which are susceptible to<br />

oxidation during storage, thus reduced the acceptability<br />

for production of biodiesel (Chisti, 2007). The GC-MS<br />

study demonstrated that the biodiesel <strong>from</strong> rice bran oil<br />

contains mainly saturated and mono-unsaturated fatty<br />

acids (~68% of the total fatty acyl methyl esters), which<br />

advocated its high oxidative stability. Thus, rice bran oil<br />

could be considered as a potential organism for biodiesel


16320 Afr. J. Biotechnol.<br />

production.<br />

Fourier transform Infrared Spectroscopy<br />

Figure 3. Response surface curve (A) and contour plot (B) showing predicted response<br />

surface of FAME conversion as a function of methanol molar ratio and hexane weight<br />

ratio (immobilized lipase = 6.86%, temperature = 42.295°C).<br />

The fourier transform infrared spectrum of rice bran oil is<br />

shown in Figure 5(A). The absorption bands at 2925.4<br />

and 2855.3 cm -1 was attributed to –CH2- group and the<br />

band at 1745 cm -1 to the carbonyl group. The band at<br />

1163.4 cm -1 was ascribed to C-O-C <strong>from</strong> the ester<br />

functional group and at 709.9 cm -1 related to the -(CH2)n-<br />

sequence of aliphatic chains of fatty acids. In addition,<br />

Figure 5B displayed the fourier transform infrared<br />

spectrum of biodiesel <strong>from</strong> the rice bran oil. The spectrum<br />

presented a band at 3007.3 cm -1 ascribed to the H-C=<br />

group and the strong band at 1743.4 cm -1 to the ester


Li et al. 16321<br />

Figure 4. (A) Gas chromatography spectrum of FAME, mass spectra of (B) hexadecanoic acid methyl ester, (C), 12-octadecadienoic acid methyl ester, and (D) 9octadecadienoic<br />

acid methyl ester.<br />

.


16322 Afr. J. Biotechnol.<br />

Figure 4. Continued.<br />

.


Table 5. The retention times and content of each fatty acid methyl ester in biodiesel<br />

Fatty acid methyl ester content (%) Retention time (min) Content (%)<br />

Methyl tetradecanoate (C15H30O2) 5.44 0.37<br />

Hexadecanoic acid methyl ester (C17H34O2) 6.73 21.39<br />

9,12-Octadecadienoic acid methyl ester (C19H34O2) 8.18 32.15<br />

9-Octadecadienoic acid methyl ester (C19H36O2) 8.25 42.39<br />

Octadecadienoic acid methyl ester (C19H38O2) 8.45 2.45<br />

11-Eicosenoic acid methyl ester (C21H40O2) 10.26 0.46<br />

Eicosenoic acid methyl ester (C21H42O2) 10.53 0.79<br />

Figure 5. Fourier transform infrared spectroscopy rice bran oil (A) and biodiesel (B)<br />

Li et al. 16323


16324 Afr. J. Biotechnol.<br />

C=O axial deformation and two medium bands at 110.6<br />

and 1190.3 cm -1 related to C-O bond.<br />

Conclusion<br />

In this study, hexane was used as the reaction medium<br />

for the preparation of biodiesel production through the<br />

immobilized lipase-catalyzed transesterification of rice<br />

bran oil and methanol. By considering the coded values,<br />

the regression expression was presented as;<br />

Y= -174.942 + 53.543X1 + 9.479X2 + 127.56X3 + 4.143X4<br />

+ 0.285X1X2 - 3.198X1X3 + 0.013X1X4 + 6.986X2X3 +<br />

2 2 2<br />

0.024X2X4 + 0.442X3X4 - 6.605X1 - 1.167X2 - 142.839X3<br />

- 0.058X4 2<br />

The optimal conditions was 4.058 molar ratio of methanol<br />

to oil, temperature 42.295°C, 6.86% immobilized lipase<br />

and 0.624 hexane based on rice bran oil weight by RSM<br />

analysis. Moreover, GC-MS showed that biodiesel was<br />

mainly composited of the methyl esters of hexadecanoic,<br />

9,12-octadecadienoic and 9-octadecadienoic acid.<br />

Furthermore, the infrared spectrum of biodiesel showed<br />

the characteristic bands of C=O, O-C-O, C=C and –<br />

(CH2)n-.<br />

ACKNOWLEDGEMENTS<br />

This work was financially supported by research start-up<br />

costs of high- level personnel of the Nanyang Normal<br />

University (ZX 2011003).<br />

REFERENCES<br />

Balaraman M, Soundar D (2005). An articial neural network analysis of<br />

porcine pancreas lipase catalysed esterication of anthranilic acid with<br />

methanol. Process. Biochem. 40: 3372-3376.<br />

Chisti Y (2007). Biodiesel <strong>from</strong> microalgae. Biotechnol. Adv. 25: 294-<br />

306.<br />

Fukuda H, Kondo A, Noda H (2001). Biodiesel fuel production by<br />

transesterification of oils. J. Biosci. Bioeng. 92: 405-416.<br />

Jeon DJ, Yeom SH (2010). Two-step bioprocess employing whole cell<br />

and enzyme for economical biodiesel production. Korean J. Chem.<br />

Eng. 27(5): 1555-1559.<br />

Joshi HC, Toler J, Walker T (2008). Optimization of cotton seed oil<br />

ethanolysis to produce biodiesel high in gossypol content. J. Am. Oil.<br />

Chem. Soc. 85: 357-363.<br />

Lara Pizarro AV, Park EY (2003). Lipase-catalyzed production of<br />

biodiesel fuel <strong>from</strong> vegetable oils contained in waste activated<br />

bleaching earth. Proc. Biochem. 38: 1077-1082.<br />

Lee DH, kim JM, Shin HY, Kang SW, Kim SW (2006). Biodiesel<br />

production <strong>using</strong> a mixture of immobilized Rhizopus oryzae and<br />

Candida rugosa lipases. Biotechnol. Bioprocess, E. 11: 522-525.<br />

Masaru K, Taichi S, Akihiko K, Hideki F (2001). Effect of methanol and<br />

water contents on production of biodieselfuel <strong>from</strong> plant oil catalyzed<br />

by various lipases in a solvent free system. J. Biosci. Bioeng. 91(1):<br />

12-15.<br />

Nelson LA, Foglia TA, Marmer WN (1996). Lipase catalyzed production<br />

of biodiesel. J. Am. Oil. Chem. Soc. 73: 1191-1195.<br />

Qin HE, Xu Y, Teng Y, Wang D (2008). Biodiesel production catalyzed<br />

by whole-cell lipase <strong>from</strong> Rhizopus chinensis. Chin. J. Catal. 29(1):<br />

41-46.<br />

Shimada Y, Watanabe Y, Samukawa T, Sugihara A, Noda H, Fukuda H,<br />

Tominaga Y (1999). Conversion of vegetable oil to biodiesel <strong>using</strong><br />

immobilized Candida antarctica lipase. J. Am. Oil. Chem. Soc. 76(7):<br />

789-794.<br />

Tippayawong N, Kongjareon E, Jompakdee W (2005). Ethanolysis of<br />

soybean oil into biodiesel: process optimization via central composite<br />

design. J. Mech. Sci. Technol. 19(10): 1902-1909.<br />

Wang Y, Ou SY, Liu PZ, Zhang ZS (2007). Preparation of biodiesel <strong>from</strong><br />

waste cooking oil via two-step catalyzed process. Energ. Convers.<br />

Manage. 48: 184-188.<br />

Wyss A, von Stockar U, Marison IW (2006). A novel reactive<br />

perstraction system based on liquid-core microcapsules applied to<br />

lipase-catalyzed biotransformations. Biotechnol. Bioeng. 93(1): 28-<br />

39.<br />

Zheng Y, Quan J, Ning X, Zhu LM, Jian B, He ZY (2009). Lipasecatalyzed<br />

transesterification of soybean oil for biodiesel production in<br />

tert-amyl alcohol. World. J. Microbiol. Biotechnol. 25: 41-46.


African Journal of Biotechnology Vol. 10(72), pp. 16325-16329, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1600<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Study on correlation between polymorphism of<br />

adiponectin receptor gene and essential hypertension<br />

of Xinjiang Uygur, Kazak and Han in China<br />

Wang Zhong 1 *, Chen Shaoze 1 , Wang Daowen 2 , Wang Li 1 , Zhai Zhihong 1 , Duan Juncang 1 ,<br />

Zhang Wangqiang 1 and Zhang Jingyu 3<br />

1 The Second Division of Cardiology, First Affiliated Hospital of Shihezi University School of Medicine, Xinjiang, Shihezi,<br />

832008, China.<br />

2 The Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology,<br />

Hubei, Wuhan, 430030, China.<br />

3 Department of Epidemiology, Shihezi University School of Medicine, Xinjiang, Shihezi 8320002, China.<br />

Accepted 19 September, 2011<br />

Studies have shown that adiponectin receptors expression was positively correlated with insulin<br />

sensitivity and insulin resistance was closely related with incidence and development of hypertension.<br />

The aim of this study was to examine the correlation between the polymorphism of two adiponectin<br />

receptor allelic genes, rs12045862T/C and rs7539542G/C, and essential hypertension of Xinjiang Uygur,<br />

Kazak and Han in 309 cases of patients with essential hypertension in Xinjiang Uygur, 264 cases of<br />

patients with essential hypertension in Kazak and 368 cases of patients with essential hypertension in<br />

Han. The control group selected 300 cases of normal Uygur, 275 cases of normal Kazak and 349 cases of<br />

normal Han. The TaqMan probe was used to test the polymorphism of adiponectin receptor gene in two<br />

alleles, rs12045862T/C and rs7539542G/C. The gene polymorphism of adiponectin receptor gene<br />

rs12045862T/C in essential hypertension group of Xinjiang Uygur, Kazak and Han had no significant<br />

difference compared with the control group (P>0.05). While the gene polymorphism of adiponectin<br />

receptor gene rs7539542G/C in essential hypertension group of Xinjiang Uygur, Kazak and Han had no<br />

significant difference compared with the control group (P>0.05). In conclusion, the gene polymorphism<br />

of adiponectin receptor gene rs12045862T/C and rs7539542G/C were not significantly associated with<br />

essential hypertension in Xinjiang Uygur, Kazak and Han, which was the same in the three ethnic<br />

groups.<br />

Key words: Adiponectin receptor, gene polymorphism, essential hypertension.<br />

INTRODUCTION<br />

Essential hypertension (EH) is a long-term interaction<br />

result of the genetic factors and environmental factors,<br />

and its etiology and pathogenesis is very complex<br />

(Williams, 1991). EH is a multiple gene disease (Lifton,<br />

1996), and the genetic factors take on 30 to 50% in the<br />

rate of occurrence in the EH. Studies have indicated that<br />

*Corresponding author. E-mail: wangzshz@163.com. Tel:<br />

86-993-2859226 or 86-13899525766.<br />

the incidence of this disease has obvious tendency of<br />

familial aggregation and the genetic factors determine<br />

individual susceptibility to high blood pressure. Hence, the<br />

studies on hypertension susceptibility genes are more and<br />

more attended. Study found that insulin resistance was<br />

closely related with incidence and development of<br />

hypertension, and was an independent risk factor for<br />

cardiovascular disease. At least half of patients with<br />

essential hypertension exhibit insulin resistance.<br />

Adiponectin receptors (ADIPOR) were cloned in 2003<br />

and the expression of adiponectin receptors is closely


16326 Afr. J. Biotechnol.<br />

Table 1. Sequences of probes and primers.<br />

rs ID Primer (5'→3') Probe (5'→3') Allele<br />

rs12045862<br />

rs7539542<br />

F 5'-CTCCTTTGCCCCTCTCCAG-3'<br />

R 5'-AGAACCCCTACTCTAAAAAGATGTGG-3'<br />

F 5'-CAAATAATCAAGACCATACATGTGAAATCT-3'<br />

R 5'-AAAGAAACCTGCTATCATTGCTATGTATC-3'<br />

F, Forward primer; R, reverse primer; FAM, HEX, fluorescence dyes.<br />

related with insulin resistance (Bluher M et al., 2006).<br />

Studies (Civitarese et al., 2004) have shown that<br />

adiponectin receptors expression was positively corre-<br />

lated with insulin sensitivity. Adiponectin receptor gene<br />

variants were also correlated with obesity and insulin<br />

resistance (Stefan et al., 2005; Siitonen et al., 2006). The<br />

adiponectin receptors were perhaps significantly related<br />

to blood pressure through insulin resistance and obesity.<br />

Some studies have shown that adiponectin receptor 1<br />

(ADIPOR1) and adiponectin receptor gene 2 (ADIPOR2)<br />

gene polymorphisms have correlation with fasting insulin<br />

levels in 2-h postprandial insulin levels and body mass<br />

index.<br />

Therefore, based on the relevant pathophysiological<br />

mechanisms in type 2 diabetes and hypertension, we<br />

hypothesized that adiponectin receptor gene poly-<br />

morphism may have some relevance with hypertension,<br />

and designed a case-control study. In Xinjiang Uygur,<br />

Kazak and Han populations, adiponectin receptor 1<br />

(ADIPOR1) gene and adiponectin receptor 2 (ADIPOR2)<br />

genes of the two allele’s rs12045862T/C and<br />

rs7539542G/C were detected and the correlation between<br />

adiponectin receptor gene polymorphism and essential<br />

hypertension in Xinjiang Uygur, Kazak and Han were<br />

investigated.<br />

MATERIALS AND METHODS<br />

Three hundred and nine cases of patients with essential<br />

hypertension in Xinjiang Uygur, 264 cases of patients with essential<br />

hypertension in Kazak and 368 cases of patients with essential<br />

hypertension in Han were selected <strong>from</strong> May to December in 2008<br />

for Xinjiang Uygur epidemiological investigation, while the control<br />

group selected 300 cases of normal Uygur, 275 cases of normal<br />

Kazak and 349 cases of normal Han. Diagnosis of essential<br />

hypertension met the prevention and treatment guide of<br />

hypertension in China in 2004. The patients with essential<br />

hypertension had no complications with clinical symptoms, did not<br />

take any blood pressure medicine before 2 weeks epidemiological<br />

survey and maintained relative stability between diet and body<br />

weight. After taking history, physical examination and relevant<br />

biochemical tests, patients with serious liver and kidney dysfunction,<br />

secondary hypertension, diabetes, stroke, unstable angina,<br />

myocardial infarction, two levels of cardiac function or more,<br />

pregnancy, lactation or long-term use of contraceptive drugs were<br />

exempted. All subjects were informed of the details and possible<br />

5' FAM-CTCATCCTTCCCCCAA-MGB 3'<br />

5' HEX-CTCATCCCTCCCCCA-MGB 3'<br />

5' FAM-TGCCAAGTGTCTTCTGT-MGB 3'<br />

5' HEX-TGCCAAGTCTCTTCTGT-MGB 3'<br />

hazards, and signed informed consent.<br />

DNA extraction and genotyping<br />

The peripheral venous blood of patients and populations in control<br />

group were collected after fasting for 12 to 14 h <strong>using</strong> EDTA-Na<br />

anticoagulation. After centrifugation with 3000 rev / min (rpm) for 15<br />

min, within 30 min the plasma was kept at -80°C in a refrigerator.<br />

The human genomic DNA extraction kit produced by the Japanese<br />

FUJIFILM was used. The genomic DNA of all the samples were<br />

extracted in strict accordance with the instructions provided. DNA<br />

concentration of TE solution <strong>from</strong> extracted DNA samples was<br />

measured by DNA / RNA quantitative machine, then concentration<br />

was diluted to 10 ng/μL, and saved in -80°C refrigerator for use. Two<br />

loci of fluorescent probes and PCR primers were designed and<br />

provided by Shanghai Jikang Biotechnology Co. Ltd. All fluorescent<br />

probes were TaqMan MGB probe, containing MGB modified gene,<br />

the 5' end labeled with reporter fluorescent group and 3' end labeled<br />

with non-fluorescent quenching moiety (primers and probe<br />

sequences in Table 1).<br />

PCR amplification system, reaction conditions and analysis of<br />

genotype<br />

Two loci of the PCR amplification system were as follows: the total<br />

reaction volume was 5 μL, including 1 × Universal Mastermix (ABI),<br />

two probes with a final concentration of 0.2 μmol/L, upstream and<br />

downstream primers with the final concentration of 1 μmol/L, and<br />

genomic DNA with final concentration of 1 ng/μL. Reaction<br />

conditions: 50°C for 2 min, 95°C denaturation for 10 min, then 95°C<br />

for 15 s, 60°C for 1 min for 50 cycles. ABI 7900HT thermal cycler<br />

was applied for amplification. Automatic sequence detection system<br />

software 2.1 (confidence interval set to 95%) was used to<br />

distinguish between the types of alleles. A total of 10% of all<br />

genotypes were repeated in independent PCRs to check for<br />

consistency and to ensure intraplate and interplate genotype quality<br />

control. No genotyping discrepancies were detected between the<br />

repeated samples. In addition, all the DNA samples for cases and<br />

controls were run in the same batches.<br />

Statistical analysis<br />

Statistical analysis was finished by SPSS13.0 software.<br />

Measurement data with normal distribution are presented as mean ±<br />

standard error. The genotype equilibrium degrees were consistent<br />

with Hardy-Weinberg, and the genotype and allele frequencies<br />

between case groups and control groups were compared <strong>using</strong><br />

Chi-square (χ2) test. Count data between groups were compared<br />

T<br />

C<br />

G<br />

C


Table 2. Baseline characteristics of three ethnic samples.<br />

Zhong et al. 16327<br />

Kazak Uygur Han<br />

Characteristic Control Hypertension Control Hypertension Control Hypertension<br />

(n = 275) (n = 264) (n = 300) (n = 309) (n = 349) (n = 368)<br />

Age (years) 51.6 ± 12.5 50.0 ± 11.4 53.9 ± 9.7 54.2 ± 8.8 48.1 ± 9.9 47.1 ± 10.7<br />

Men (%) 45.1 46.6 52.1 51.7 50.7 49.8<br />

BMI (kg/m 2 ) 23.5 ± 3.4 27.6 ± 3.9* 27.4 ± 4.4 27.6 ± 4.8 22.56 ± 3.6 25.28 ± 2.91*<br />

SBP (mm Hg) 118 ± 11 151 ± 15* 123 ± 9 154 ± 17* 118.6 ± 11.8 148.9 ± 13.1*<br />

DBP (mm Hg) 73 ± 9 96 ± 12* 76 ± 6 95 ± 3* 78.1 ± 7.1 97.9 ± 10.2*<br />

BMI indicate body mass index; SBP, systolic blood pressure; DBP diastolic blood pressure; yrs years. Continuous variables are given as mean ± SD,<br />

*P


16328 Afr. J. Biotechnol.<br />

Table 3. Association between rs12045862 variants and EH.<br />

n (%) n (%) n (%)<br />

Adjusted ORs (95% CI)<br />

Mm +mm vs MM<br />

Control<br />

EH<br />

349<br />

368<br />

0.403<br />

0.409<br />

0.860 130<br />

130<br />

157<br />

175<br />

62<br />

63<br />

0.786<br />

1.0 (ref)<br />

0.414 to 0.432<br />

SNP Ethnicity Population N MAF Pallelic MM Mm mm Pdominant<br />

rs12045862<br />

Han<br />

Uygur<br />

Kazak<br />

Control 300 0.453 0.995 90 148 62<br />

1.0 (ref)<br />

0.879<br />

EH 309 0.455 89 159 61 0.484 to 0.503<br />

Control 275 0.480 0.880 70 146 59<br />

1.0 (ref)<br />

0.960<br />

EH 264 0.473 68 142 54 0.421 to 0.441<br />

SNP, Single nucleotide polymorphism; N, number of subject; MAF, minor allele frequency; Pallele, value of allele was determined by a two-sided 2<br />

test. EH essential hypertension; ref, reference; M: major allele, m: minor allele. Pdominant value and adjusted odds ratio (95% confidence interval)<br />

were computed with multivariate logistic regression analysis by adjusting for gender, age and body mass index.<br />

Table 4. Association between rs7539542 variants and EH.<br />

n (%) n (%) n (%)<br />

Adjusted ORs (95% CI)<br />

Mm + mm vs MM<br />

Control<br />

EH<br />

349<br />

368<br />

0.371<br />

0.378<br />

0.654 137<br />

152<br />

165<br />

156<br />

47<br />

61<br />

0.318<br />

1.0 (ref)<br />

0.318 to 0.336<br />

SNP Ethnicity Population N MAF Pallelic MM Mm mm Pdominant<br />

rs7539542<br />

Han<br />

Uygur<br />

Kazak<br />

Control 300 0.435 0.804 95 149 56<br />

1.0 (ref)<br />

0.230<br />

EH 309 0.382 116 142 47 0.222 to 0.238<br />

Control 275 0.418 0.830 89 142 44<br />

1.0 (ref)<br />

0.969<br />

EH 264 0.411 88 135 41 0.970 to 0.976<br />

SNP, Single nucleotide polymorphism; N, number of subject; MAF, minor allele frequency; Pallele, value of allele was determined by a two-sided<br />

2 test. EH essential hypertension; ref, reference; M: major allele, m: minor allele. Pdominant value and adjusted odds ratio (95% confidence<br />

interval) were computed with multivariate logistic regression analysis by adjusting for gender, age and body mass index.<br />

variety of genetic and environmental factors lead to high<br />

blood pressure, and the genes involved in blood pressure<br />

regulation have ethnic and regional specificity. Kazak and<br />

Uygur characteristics of the incidence of hypertension are<br />

not the same. Kazakh is one of the five highest incidences<br />

of hypertension ethnic groups, with hypertension pre-<br />

valence rate of 17.36%, while the prevalence rate of<br />

Uygur was only 10.33%, which is lower than the average<br />

level in national prevalence rate of hypertension in all<br />

ethnic groups. In Kazak, hypertension not only has high<br />

incidence but also the early onset, the increase degree of<br />

blood pressure was severe, and familial aggregation is<br />

also higher than the Uighur. Meanwhile the life<br />

environmental factors of the two national groups are very<br />

different, such as the Kazak are herdsmen but Uyghur are<br />

farmers; Kazaks live in the Tianshan mountains with the<br />

colder climate of residence, but Uighur live far away <strong>from</strong><br />

the oasis of Tianshan mountains and hence the climate is<br />

relatively hot; the meat and salt intake in Kazakh were<br />

higher than in Uygur, while the intake of fruits and<br />

vegetables less than the Uighur. The differences of<br />

incidence characteristics of two ethnic in hypertension<br />

suggests that hypertension of the two nations may exist in<br />

different pathogenic mechanisms.<br />

In this study, Xinjiang Uygur, Kazak and Han popu-<br />

lations had as research subjects, 309 cases of patients<br />

with essential hypertension in Xinjiang Uygur, 264 cases<br />

of patients with essential hypertension in Kazak and 368<br />

cases of patients with essential hypertension in Han,<br />

while the control group selected 300 cases of normal<br />

Uygur, 275 cases of normal Kazak and 349 cases of<br />

normal Han. The TaqMan probe was used to test the<br />

gene polymorphism in two allele’s rs12045862T/C and<br />

rs7539542G/C of adiponectin receptor1 and adiponectin<br />

receptor2. Our results show that the gene polymorphism<br />

of adiponectin receptor gene rs12045862T/C in essential<br />

hypertension group of Xinjiang Uygur, Kazak and Han<br />

had no significant difference compared with the control<br />

group. The gene polymorphism of adiponectin receptor<br />

gene rs7539542G/C in essential hypertension group of


Xinjiang Uygur, Kazak and Han had no significant<br />

difference compared with the control group. This<br />

conclusion is consistent in the three ethnic groups. This<br />

may be because adiponectin receptors had correlation<br />

with essential hypertension only indirectly through insulin<br />

resistance, or polymorphisms sites selected in this study<br />

did not significantly affect the gene function of adiponectin<br />

receptor, and also, the selected single SNP site for<br />

correlation analysis may not be very good coverage of all<br />

the variations of the gene. On the other hand, each of<br />

hypertension-related genes may have small role in the<br />

pathogenesis of hypertension, since different<br />

hypertension-related genes may combine to significantly<br />

increase blood pressure.<br />

Therefore, many variations of hypertension candidate<br />

genes and their interaction are the current research<br />

strategy. In subsequent studies, we still need to increase<br />

the sample size, select prospective study design and<br />

choose more polymorphisms covering the entire gene<br />

region of study. In summary, hypertension is a polygenic<br />

and multifactorial genetic disease, and the issues on<br />

many related genes in the major and minor genes, as well<br />

as the complexity of the interactions between genes and<br />

the environment, need to be further explored.<br />

REFERENCES<br />

Blüher M, Bullen Jr. JW, Lee JH, Kralisch S, Fasshauer M, Klöting N,<br />

Niebauer J, Schön MR, Williams CJ, Mantzoros CS (2006).<br />

Circulating adiponectin and expression of adiponectin receptors in<br />

human skeletal muscle: associations with metabolic parameters and<br />

insulin resistance and regulation by physical training. J. Clin.<br />

Endocrinal. Metab. 91: 2310–2316.<br />

Civitarese AE, Jenkinson CP, Richardson D, Bajaj M, Cusi K, Kashyap S,<br />

Berria R, Belfort R, DeFronzo RA, Mandarino LJ, Ravussin E (2004).<br />

Adiponectin receptors gene expression and insulin sensitivity in<br />

non-diabetic Mexican American with or without a family history of<br />

Type 2 diabetes. Diabetologia, 47: 816-820.<br />

Fasshauer M, Paschke R, Stumvoll M (2004). Adiponectin, obesity, and<br />

cardiovascular disease. Biochimie, 86: 779-784.<br />

Guo X, Saad MF, Langefeld CD, Williams AH, Cui J, Taylor KD, Norris<br />

JM, Jinagouda S, Darwin CH, Mitchell BD, Bergman RN, Sutton B,<br />

Chen YD, Wagenknecht LE, Bowden DW, Rotter JI (2006).<br />

Genome-wide linkage of plasma adiponectin reveals a major locus on<br />

chromosome 3q distinct <strong>from</strong> the adiponectin structural gene: the<br />

IRAS Family Study. Diabetes, 55: 1723–1730.<br />

Zhong et al. 16329<br />

Hulver MW, Saleh O, MacDonald KG, Pories WJ, Barakat HA (2004).<br />

Ethnic differences in adiponectin levels. Metabolism, 53 : 1-3.<br />

Hu C, Jia WP, Zhang R, Wang CR, Fang QC, Ma XJ, Lu JX, Xu J, Xiang<br />

KS (2007). Relationship between adiponectin receptor 1 gene<br />

-3881T/C variant and glucose metabolism in the Chinese. Zhonghua<br />

Yi Xue Yi Chuan Xue Za Zhi. 24: 27-30.<br />

Iwashima Y, Katsuya T, Ishikawa K, Ouchi N, Ohishi M, Sugimoto K, Fu<br />

Y, Motone M, Yamamoto K, Matsuo A, Ohashi K, Kihara S, Funahashi<br />

T, Rakugi H, Matsuzawa Y, Ogihara T (2004). Hypoadiponectinemia<br />

is an independent risk factor for hypertension. Hypertension, 43:<br />

1318-1323.<br />

Kantartzis K, Fritsche A, Machicao F, Häring HU, Stefan N (2006).The<br />

-8503 G/A polymorphism of the adiponectin receptor 1 gene are<br />

associated with insulin sensitivity dependent on adiposity. Diabetes<br />

Care, 29: p. 464.<br />

Lifton RP (1996). Molecular genetics of human blood reassure variation.<br />

Science, 27: 2676-2680.<br />

Stefan N, Machicao F, Staiger H, Machann J, Schick F, Tschritter O,<br />

Spieth C, Weigert C, Fritsche A, Stumvoll M, Häring HU (2005).<br />

Polymorphisms in the gene encoding adiponectin receptor 1 are<br />

associated with insulin resistance and high liver fat. Diabetologia, 48:<br />

2282-2291.<br />

Siitonen N, Pulkkinen L, Mager U, Lindström J, Eriksson JG, Valle TT,<br />

Hämäläinen H, Ilanne-Parikka P, Keinänen-Kiukaanniemi S,<br />

Tuomilehto J, Laakso M, Uusitupa M (2006). Association of sequence<br />

variations in the gene encoding adiponectin receptor 1 (ADIPOR1)<br />

with body size and insulin levels: the Finnish Diabetes Prevention<br />

Study. Diabetologia. 49: 1795-1805.<br />

Williams RR (1991). Are there interaction and relations between genetic<br />

and environmental factors predisposing to a high blood pressure.<br />

Hypertension, 18(1): I 29-137.<br />

Yamauchi T, Kamon J, Ito Y, Tsuchida A, Yokomizo T, Kita S, Sugiyama<br />

T, Miyagishi M, Hara K, Tsunoda M, Murakami K, Ohteki T, Uchida S,<br />

Takekawa S, Waki H, Tsuno NH, Shibata Y, Terauchi Y, Froguel P,<br />

Tobe K, Koyasu S, Taira K, Kitamura T, Shimizu T, Nagai R,<br />

Kadowaki T(2003). Cloning of adiponectin receptors that mediate<br />

antidiabetic metabolic effects. Nature, 423: 762-769.


African Journal of Biotechnology Vol. 10(72), pp. 16330-16336, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2071<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Mechanism of action of pefloxacin on surface<br />

morphology, DNA gyrase activity and dehydrogenase<br />

enzymes of Klebsiella aerogenes<br />

Neeta N. Surve and Uttamkumar S. Bagde<br />

Department of Life Sciences, Applied Microbiology Laboratory, University of Mumbai, Vidyanagari, Santacruz (E),<br />

Mumbai 400098, <strong>India</strong>.<br />

Accepted 30 September, 2011<br />

The aim of the present study was to investigate susceptibility of Klebsiella aerogenes towards<br />

pefloxacin. The MIC determined by broth dilution method and Hi-Comb method was 0.1 µg/ml.<br />

Morphological alterations on the cell surface of the K. aerogenes was shown by scanning electron<br />

microscopy (SEM) after the treatment with pefloxacin. It was observed that the site of pefloxacin action<br />

was intracellular and it caused surface alterations. The present investigation also showed the effect of<br />

Quinolone pefloxacin on DNA gyrase activity of K. aerogenes. DNA gyrase was purified by affinity<br />

chromatography and inhibition of pefloxacin on supercoiling activity of DNA gyrase was studied.<br />

Emphasis was also given on the inhibition effect of pefloxacin on dehydrogenase activity of K.<br />

aerogenes.<br />

Key words: Pefloxacin, Klebsiella aerogenes, scanning electron microscopy (SEM), deoxyribonucleic acid<br />

(DNA) gyrase, dehydrogenases, Hi-Comb method, minimum inhibitory concentration (MIC).<br />

INTRODUCTION<br />

Klebsiella spp. is opportunistic pathogen, which primarily<br />

attack immunocompromised individuals who are<br />

hospitalized and suffer <strong>from</strong> severe underlying diseases<br />

such as diabetes mellitus or chronic pulmonary obstruction.<br />

Klebsiella accounts for 6 to 17% of all nosocomial<br />

urinary tract infections (UTI) and shows an even higher<br />

incidence in specific groups of patients at risk, for<br />

example, patients with neuropathic bladders or with<br />

diabetes mellitus (Bennett et al., 1995; Lye et al., 1992).<br />

Since nalidixic acid and its first analogs, pipemidic acid<br />

and oxolinic acid, were found to have good activity<br />

against Gram-negative bacteria involved in UTI, the<br />

quinolone class has been intensively studied and many<br />

new active products have been synthesized (Albrecht,<br />

1977; Domagala et al., 1986). They are characterized by<br />

*Corresponding author. E-mail: bagdeu@yahoo.com. Tel:<br />

9821681672.<br />

Abbreviations: SEM, Scanning electron microscope; UTI,<br />

urinary tract infections; MIC, minimum inhibitory concentration.<br />

broad spectrum activity with oral efficacy. These agents<br />

have been shown to be specific inhibitors of the A subunit<br />

of the bacterial topoisomerase deoxyribonucleic acid<br />

(DNA) gyrase, the Gyr B protein being inhibited by<br />

coumermycin A1 and novobiocin (Gellert et al., 1976;<br />

Hooper et al., 1982).<br />

DNA gyrase are topoisomerases catalyze the supercoiling<br />

of relaxed closed circular DNA coupled to the<br />

hydrolysis of Adenosine triphosphate, ATP (Wang and<br />

Liu, 1979). Quinolone antimicrobial agents form a<br />

complex with gyrase and DNA that blocks replication fork<br />

movement (Drlica, 1984; Drlica et al., 1980). To understand<br />

in vivo mechanism of pefloxacin, we examined the<br />

contribution of enzyme inhibition to drug action against K.<br />

aerogenes.<br />

In this report, sensitivity of Klebsiella aerogenes against<br />

quinolone pefloxacin was studied by broth dilution<br />

method and Hi-Comb method (Hi-media) and MIC was<br />

determined. Morphological alterations on the cell surface<br />

of K. aerogenes were studied after treatment with<br />

pefloxacin by scanning electron microscope (SEM).<br />

Emphasis was also given on inhibition of dehydro-<br />

genases enzymes of organism by the antibiotic.


MATERIALS AND METHODS<br />

Bacterial strain, culture media and drug<br />

K. aerogenes NCIM 2239 was obtained <strong>from</strong> the National Collection<br />

of Industrial Microorganisms (NCIM), Pune, <strong>India</strong>. Bacterial strain<br />

was grown at 37°C in nutrient broth medium (Hi-media, <strong>India</strong>) and<br />

maintained at 5°C. Culture medium was autoclaved at 121°C for 20<br />

min, and the organism was subcultured in nutrient broth and<br />

nutrient agar plates and after 24 h incubation used as an inoculum.<br />

Drug pefloxacin was obtained <strong>from</strong> Sigma chemicals (U.S.A.) in the<br />

form of pefloxacin mesylate dihydrate.<br />

Determination of minimum inhibitory concentration (MIC)<br />

Sensitivity of pefloxacin against K. aerogenes was studied by<br />

determining Minimum inhibitory concentration (MIC) by broth<br />

dilution method and by Hi-Comb method (Hi-media, <strong>India</strong>). In Broth<br />

dilution method, different concentrations of antibacterial agents<br />

were prepared. Inoculums were adjusted to 0.5 Macfarland turbidity<br />

standards and an aliquot of 0.1 ml of inoculums was added to each<br />

tube of dilution. The tubes were incubated at 37°C overnight. MIC<br />

was read visually following 24 h of incubation and was defined as<br />

the lowest concentration that produced no visible turbidity (NCCLS,<br />

2001).<br />

In Hi-Comb method, at least 4 to 5 well isolated colonies of same<br />

morphological type <strong>from</strong> agar plate were touched with a wire loop<br />

and growth was transferred to tube containing 5 ml of broth.<br />

Turbidity was compared with 0.5 Macfarland standards and<br />

adjusted with sterile saline or broth if required. Organism was<br />

spread on agar plates by spread plate method and Hi-Comb strip<br />

was placed on medium in sterile condition. Plate was incubated for<br />

24 h at 37°C and zone of inhibition was observed. According to Hi-<br />

Comb MIC test, MIC value is the value at which the zone converges<br />

on the comb-like projections of the strips and not at the handle and<br />

zone of inhibition below the lowest concentration is to be<br />

considered (CLSI, 2008).<br />

Effect of pefloxacin on morphology of K. aerogenes<br />

Surface morphology was studied by SEM on Quanta 200 ESEM<br />

system (Icon Analytical Equipment Pvt. Ltd., <strong>India</strong>), after<br />

determining the MIC. Specified concentration of Pefloxacin (0.1<br />

µg/ml) was added to culture in the logarithmic phase of growth (12<br />

h culture) at 37°C. After different incubation time period 3, 6 and 24<br />

h with pefloxacin, SEM was performed. Treated and untreated cells<br />

after incubation were washed by centrifugation in 0.9% NaCl and<br />

fixed in 2% glutaraldehyde in 0.1 M cacodylate buffer (pH 7.2) and<br />

images were taken by SEM (Klainer and Perkins, 1974).<br />

Effect of pefloxacin on dehydrogenases activity<br />

According to the procedure followed by Guha and Mookerjee<br />

(1978), the effect of pefloxacin on inhibition of dehydrogenase<br />

enzymes activity of K. aerogenes was studied. Cells grown for 48 h<br />

at 37°C were used as samples. According to the procedure,<br />

chloramphenicol was added to disrupt cell wall and MIC<br />

concentration of pefloxacin was added. 0.005 M substrates of TCA<br />

cycle, α-Ketoglutaric acid, succinic acid, isocitric acid and glutamic<br />

acid was added to each tube. 0.5 M Potassium phosphate buffer at<br />

pH 7.0, 0.3M MgCl2 and Triphenyl Tetrazolium Chloride solutions (9<br />

mg/ml) were finally added and OD values of the control tubes were<br />

measured and percentage inhibition of the activity of enzymes was<br />

calculated.<br />

Surve and Bagde 16331<br />

Effect of pefloxacin on DNA gyrase of K. aerogenes<br />

DNA gyrase was purified <strong>from</strong> K. aerogenes by affinity chromatography<br />

(Tabary et al., 1987; Bjornsti and Osheroff, 1999). The<br />

work was carried out at National Institute of Research in<br />

Reproductive Health, Mumbai, <strong>India</strong>. K. aerogenes (40 g) was<br />

suspended in 40 ml of 100 mM Tris hydrochloride (pH 7.6) -20%<br />

sucrose. Dithiothreitol, EDTA, phenylmethylsulfonylfluoride were<br />

added to 2, 20 and 1 mM, respectively. 16 mg of lysozyme was<br />

added after 10 min in ice, and the mixture was frozen at -80°C after<br />

an additional 10 min, and thawed at 20°C; Brij 58, MgCl2 and KCl<br />

were then added to 0.1%, 5 mM and 750 mM respectively. The<br />

lysate was mixed by several inversions and centrifuged at 100,000<br />

× g for 3 h. Dialysis of supernatant was done against buffer A (20<br />

mM KCl, 5 mM MgCl2, 1 mM EDTA, 20 mM Tris hydrochloride, 10<br />

% glycerol [pH 7.8]). It was then loaded onto a 2 ml novobiocin-<br />

Sepharose column and washed with buffer A until the optical<br />

density at 280 nm was minimal, with 25 ml of 20 mM ATP in buffer<br />

A and finally with buffer A until there was no more A280. Elution of<br />

DNA gyrase was done with 5 M urea in buffer A. Fractions were<br />

dialyzed against buffer A without MgCl2 and glycerol, concentrated<br />

with polyethylene glycol 20,000, dialyzed against buffer A without<br />

MgCl2 but with 50% glycerol and stored at -20°C. Protein<br />

concentrations were estimated to be 400µg/ml by Folin Lowry<br />

method. The purity was checked by sodium dodecyl sulfate<br />

polyacrylamide gel electrophoresis and the specific activity was 2 ×<br />

10 4 U/mg of protein.<br />

Relaxed pBR322 DNA (Topogen Inc., USA) and 1 U of gyrase<br />

were incubated in an 18 µl reaction mixture containing 25 mM KCl,<br />

20 mM N-2-hydroxyethylpiperazine-N 1 -2-ethanesulfonic acid<br />

(HEPES), 4 mM dithiothreitol, 1.7 mM spermidine, 1.7 mM ATP, 6<br />

mM magnesium acetate, 0.5 mM EDTA, 3% ethylene glycol and 2<br />

mM Tris hydrochloride (pH 8). Under these conditions DNA is totally<br />

supercoiled in 30 min at 37°C. The mixture was incubated for 30<br />

min at 37°C and the reaction was stopped at 0°C by the addition of<br />

1µl of 1% sodium dodecyl sulfate and 2 µl of 0.4% bromophenol<br />

blue in 60% sucrose. The extent of supercoiling were determined<br />

by 1% agarose gel electrophoresis.<br />

1% agarose gel was made in EDTA (36 mM), Tris hydrochloride<br />

(pH 7.5) by <strong>using</strong> agarose. Samples applied to the gel and resolved<br />

at 70 V for 3 h. The gel was stained with ethidium bromide at room<br />

temperature and photographed under UV.<br />

RESULT<br />

MIC of K. aerogenes against pefloxacin determined by<br />

broth dilution method and Hi-Comb method was found to<br />

be 0.1 µg/ml. According to broth dilution method,<br />

inhibition in the growth was read visually and by Hi-Comb<br />

method, zone of inhibition was seen after 24 h incubation<br />

(Figure 1).<br />

In the present report, morphological changes induced<br />

by pefloxacin on K. aerogenes are shown in Figures 2<br />

and 3. Figure 2 shows images of control organism which<br />

were seen to be rod shaped bacilli. In Figure 3, changes<br />

on surface of cells were seen after different time interval<br />

of pefloxacin treatment; Figure 3a shows elongation and<br />

spheroplast formation after 3 h incubation time period;<br />

Figure 3b also shows elongation and spheroplast<br />

formation after 6 h incubation time period; Figure 3c<br />

shows pieces of bursted cells along with elongated and<br />

spheroplast cells.<br />

Cells of K. aerogenes were exposed to pefloxacin and


16332 Afr. J. Biotechnol.<br />

Figure 1. Determination of the MIC of Pefloxacin against K. aerogenes <strong>using</strong> Hi-Comb method. The clear<br />

area indicated the growth inhibition zone of the bacterium.<br />

Figure 2. K. aerogenes under the untreated condition is a rod-shaped bacilli.


Surve and Bagde 16333


16334 Afr. J. Biotechnol.<br />

Figure 3. K. aerogenes following treatment with Pefloxacin (0.1 µg/ml) at different incubation time period, a. exposed for 3 h, b.<br />

exposed for 6 h, c. exposed for 24 h.<br />

inhibition on the activity of dehydrogenases enzymes was<br />

studied. Inhibition percentage of dehydrogenases activity<br />

was glutamic 45%, succinic 48%, α-ketoglutaric 47% and<br />

isocitric dehydrogenases 45% (Table 1). Percentage<br />

inhibition of the activity of enzymes was calculated by<br />

comparing the O. D. values of the control tubes and the<br />

tubes containing pefloxacin.<br />

DNA gyrase was eluted by affinity chromatography and<br />

purity was checked by SDS PAGE. SDS-PAGE analysis<br />

revealed one band which corresponds to 100 kDa (Figure<br />

4). Finally, DNA supercoiling by DNA gyrase was studied<br />

in the presence and absence of pefloxacin (Figure 5).<br />

Lane a and c corresponds to the standards of Relaxed<br />

and supercoiled pBR322 DNA, respectively. Lane b<br />

corresponds to test containing pefloxacin, DNA gyrase<br />

and relaxed pBR322 DNA. According to the figure,<br />

pefloxacin inhibited DNA gyrase and relaxed DNA was<br />

not supercoiled. Lane d shows supercoiling activity of<br />

DNA gyrase in absence of Pefloxacin.<br />

DISCUSSION<br />

There has been a recent dramatic increase in information<br />

about the fluoroquinolones, a new class of potent orally<br />

absorbed antimicrobial agents. The first analog of this<br />

class of synthetic agents used clinically was nalidixic<br />

acid, a nonfluorinated agent which was released for<br />

treatment of urinary tract infections in 1962. In past<br />

decade, new fluoroquinolones, also called quinolones, 4quinolones,<br />

carboxyquinolones, or quinolone carboxylic<br />

acids, have been developed that include norfloxacin,<br />

ciprofloxacin, ofloxacin, pefloxacin, enoxacin and others.<br />

The principal bacterial target of the quinolones is<br />

deoxyribonucleic acid (DNA) gyrase (Crumplin et al.,<br />

1984; Gellert et al., 1977; Hooper et al., 1987; Sugino et<br />

al.,1977), an essential bacterial enzyme (Drlica, 1984;<br />

Cozzarelli, 1980; Gellert, 1981). This enzyme is a<br />

member of the class of type II topoisomerases and is<br />

composed of two A subunits encoded by the gyr A gene


Figure 4. SDS-PAGE analysis of purified K. aerogenes DNA<br />

gyrase. Lanes a and b: Protein eluted before affinity<br />

chromatography of K. aerogenes. Lanes c and d: Protein eluted<br />

after affinity chromatography of K. aerogenes showing DNA<br />

gyrase (100kDa).<br />

Figure 5. Agarose gel electrophoresis of relaxed pBR322<br />

DNA, DNA gyrase and pefloxacin, showing supercoiling<br />

activity. Lane a: Control of Relaxed pBR322 DNA; lane b:<br />

Showing effect of pefloxacin on DNA gyrase inhibiting<br />

supercoiling activity; lane c: Control of Supercoiled pBR322<br />

DNA; lane d: DNA gyrase supercoiling activity without<br />

pefloxacin.<br />

Surve and Bagde 16335<br />

and two B subunits encoded by the gyr B gene. DNA<br />

gyrase has been most extensively studied in Escherichia<br />

Coli, but DNA gyrases have also been purified <strong>from</strong><br />

Micrococcus luteus (Klevan and Wang, 1980; Liu and<br />

Wang, 1978), Bacillus subtilis (Orr and Staudenbauer,<br />

1982; Sugino and Bott, 1980), and Pseudomonas<br />

aeruginosa (Inoue et al., 1987; Miller and Scurlock,<br />

1983).<br />

Tabary et al. (1987) studied the effects of DNA gyrase<br />

inhibitors pefloxacin and five other quinolones on E. coli<br />

Topoisomerase I and Pan and Fisher (1999) studied the<br />

effects of fluoroquinolones on Streptococcus pneumoniae<br />

DNA gyrase and Topoisomerase IV. Pan et al. (2009)<br />

studied the effects of quinolones and Quinazolinedione<br />

PD 0305970 on DNA gyrase and Topoisomerase IV of<br />

Gram positive pathogens, including quinolone resistant<br />

isolates. Schultz et al. (1996) studied the structure and<br />

conformational changes of DNA topoisomerase II by<br />

electron microscopy.<br />

DNA gyrase catalyze the supercoiling activity of<br />

covalently closed circular DNA relaxed by topoisomerase<br />

I. Quinolones inhibit this activity at concentrations near<br />

MICs. In the present investigation, the same effect was<br />

studied on K. aerogenes by pefloxacin with the reference<br />

to the prior research done. DNA gyrase was purified by<br />

Sepharose-novobiocin affinity chromatography and the<br />

effect of pefloxacin was studied. Pefloxacin inhibited the<br />

DNA gyrase activity by inhibiting supercoiling of relaxed<br />

DNA.<br />

SEM data presented here are in substantial agreement<br />

with the previous reports of surface disruption of antibiotic<br />

treated with E. coli (Klainer and Perkins, 1972, 1974).<br />

The present study demonstrates that antimicrobial agent<br />

whose site of action is thought to be intracellular may<br />

cause morphological alterations which are similar to<br />

those induced by cell-wall active drugs. Surve and Bagde<br />

(2010b) studied the effects of methicillin on cell surface of<br />

Streptococcus agalactiae by SEM and reported similar<br />

results.<br />

The effect of pefloxacin was also studied on the activity<br />

of dehydrogenases enzymes activity of K. aerogenes.<br />

Inhibition of four dehydrogenases involved in the TCA<br />

cycle, glutamic, succinic, α-ketoglutaric and isocitric<br />

dehydrogenases was found when bacterial cells were<br />

exposed to pefloxacin. Due to this, the supply of energy rich<br />

compounds like ATP got considerably reduced, and<br />

thereby the synthesis of macromolecules like protein,<br />

DNA and RNA declined and subsequently the growth got<br />

ceased. Surve and Bagde (2009, 2010a, b) reported<br />

similar inhibition effects of silver, arsenic and methicillin<br />

On dehydrogenases activity of pathogenic microorganisms.<br />

Acknowledgement<br />

Deep sense of gratitude to Dr. Bandivadekar, Department<br />

of Biochemistry, National Institute of Research in


16336 Afr. J. Biotechnol.<br />

Reproductive Health, Mumbai, <strong>India</strong>, and his staff for<br />

support in the experiment.<br />

REFERENCES<br />

Albrecht R (1977). Development of antibacterial agents of the nalidixic<br />

acid type. Prog. Drug Res. 21: 9-104.<br />

Bennett CJ, Young MN, Darrington H (1995). Differences in urinary tract<br />

infection in male and female spinal cord injury patients on intermittent<br />

catheterization. Paraplegia, pp. 69-72.<br />

Bjornsti MA, Osheroff N (1999). DNA Topoisomerase Protocols. In<br />

Methods in Mol. Biology. Vol. 94, Human Press Inc. Totowa NJ.<br />

CLSI. Clinical and Laboratory Standards Institute (2008). Performance<br />

Standards for Antimicrobial Susceptibility Testing, CLSI 28(1).<br />

Cozzarelli NR (1980). DNA gyrase and supercoiling of DNA. Science,<br />

207: 953-960.<br />

Crumplin GC, Kenwright M, Hirst T (1984). Investigations into the<br />

mechanisms of action of the antibacterial agent norfloxacin. J.<br />

Antimicrob. Chemother. 13(Suppl B): 9-23.<br />

Domagala JM, Hanna LD, Heifetz CL, Hutt MP, Mich TF, Sanchez JP,<br />

Solomon M (1986). New structure-activity relationships of the<br />

quinolone antibacterials <strong>using</strong> target enzyme. The development and<br />

application of a DNA gyrase activity. J. Med. Chem. 29: 394-404.<br />

Drlica K (1984). Biology of bacterial deoxyribonucleic acid<br />

topoisomerases. Microbiol. Rev. 48: 273-289.<br />

Drlica K, Engle EC, Manes SH (1980). DNA gyrase on the bacterial<br />

chromosome: possibility of two levels of action. Proc. Natl. Acad. Sci.<br />

USA. 77: 6879-6883.<br />

Gellert M (1981). DNA topoisomerases. Annu. Rev. Biochem. 50: 879-<br />

910.<br />

Gellert M, Mizuuchi K, O’Dea MH, Itoh T, Tomizawa JI (1977). Nalidixic<br />

acid resistance: a second genetic character involved in DNA gyrase<br />

activity. Proc. Natl. Acad. Sci. USA. 74: 4772-4776.<br />

Gellert M, O’Dea MH, Itoh T, Tomizawa JI (1976). Novobiocin and<br />

coumermycin inhibit DNA supercoiling catalyzed by DNA gyrase.<br />

Proc. Natl. Acad. Sci. USA, 73: 4474-4478.<br />

Guha C, Mookerjee A (1978). Effect of Nickel on macromolecular<br />

synthesis in Escherichia coli K12. The Nucleus, 22(1): 45-47.<br />

Hooper DC, Wolfson JS, McHugh GL, Winters MB, Swartz MN (1982).<br />

Effects of novobiocin, coumerymycin A1, clorobiocin and their<br />

analogs of Escherichia coli DNA gyrase and bacterial growth.<br />

Antimicrob. Agents. Chemother. 22: 662-671.<br />

Hooper DC, Wolfson JS, Ng EY, Swartz MN (1987). Mechanisms of<br />

action and resistance to ciprofloxacin. Am. J. Med. 82(Suppl 4A): 12-<br />

20.<br />

Inoue Y, Sato K, Fujii T, Hirai K, Inoue M, Iyobe S, Mitsuhashi S (1987).<br />

Some properties of subunits of DNA gyrase <strong>from</strong> Pseudomonas<br />

aeruginosa PAQ1 and its nalidixic acid-resistant mutant. J. Bacteriol.<br />

169: 2322-2325.<br />

Klainer AS, Perkins RL (1972). Surface Manifestations of Antibiotic-<br />

Induced alterations in protein synthesis in bacterial cells. Antimicrob.<br />

Agents Chemother. 1(2): 164-170.<br />

Klainer AS, Perkins RL (1974). Effect of the inhibition of protein<br />

synthesis on Escherichia coli cell envelope. Antimicrob. Agents<br />

Chemother. 6(2): 216-224.<br />

Klevan L, Wang JC (1980). Deoxyribonucleic acid gyrasedeoxyribonucleic<br />

acid complex containing 140 base pairs of<br />

deoxyribonucleic acid and the α2β2 protein. Biochemistry, 19: 5229-<br />

5234.<br />

Liu LF, Wang JC (1978). Micrococcus luteus DNA gyrase: active<br />

components and a model for its supercoiling DNA. Proc. Natl. Acad.<br />

Sci. USA. 75: 2098-2102.<br />

Lye WC, Chan RKT, Lee EJC, Kumarasinghe G (1992). Urinary tract<br />

infections in patients with diabetes mellitus. J. Infect. 24: 169-174.<br />

Miller RV, Scurlock TR (1983). DNA gyrase (topoisomerase II) <strong>from</strong><br />

Pseudomonas aeruginosa. Biochem. Biophys. Res. Commun. 110:<br />

694-700.<br />

NCCLS. National Committee for Clinical Laboratory Standards (2001).<br />

Methods for dilution antimicrobial susceptibility tests for bacteria that<br />

grow aerobically. Approved standard M7-A5, National Committee for<br />

Clinical Laboratory Standards, Wayne, Pa. vol. 20.<br />

Orr E, Staudenbauer WL (1982). Bacillus subtilis DNA gyrase:<br />

purification of subunits and reconstitution of supercoiling activity. J.<br />

Bacteriol. 151: 524-527.<br />

Pan XS, Fisher LM (1999). Streptococcus pneumoniae DNA gyrase and<br />

Topoisomerase IV: overexpression, purification and differential<br />

inhibition by fluoroquinolones. Antimicrob. Agents Chemother. 43(5):<br />

1129-1136.<br />

Pan XS, Gould KA, Fisher LM (2009). Probing the differential<br />

interactions of quinazolinedione PD 0305970 and quinolones with<br />

gyrase and topoisomerase IV. Antimicrob. Agents Chemother. 53(9):<br />

3822-3831.<br />

Schultz P, Olland S, Oudet P, Hancock R (1996). Structure and<br />

conformational changes of DNA topoisomerase II visualized by<br />

electron microscopy. Proc. Natl. Acad. Sci. USA. 93: 5936-5940.<br />

Sugino A, Bott KF (1980). Bacillus subtilis deoxyribonucleic acid gyrase.<br />

J. Bacteriol. 141: 1331-1339.<br />

Sugino A, Peebles CL, Krreuzer KN, Cozzarelli NR (1977). Mechanism<br />

of action of nalidixic acid: purification of Escherichia coli nalA gene<br />

product and its relationship to DNA gyrase and a novel nickingclosing<br />

enzyme. Proc. Natl. Acad. Sci. USA. 74: 4767-4771.<br />

Surve NN, Bagde US (2009). Silver toxicity in pathogenic<br />

Staphylococcus epidermidis and Klebsiella pneumoniae. Int. J.<br />

Integrative Biol. 7(3): 139-144.<br />

Surve NN, Bagde US (2010a). Arsenic toxicity in pathogenic<br />

Staphylococcus epidermidis and Klebsiella pneumoniae. Int. J. Biol.<br />

2(2): 213-221.<br />

Surve NN, Bagde US (2010b). Morphological alterations by methicillin<br />

on cell wall of Streptococcus agalactiae. Int. J. Integrative Biol. 11(1):<br />

26-29.<br />

Tabary X, Moreau N, Dureuil C, Le Goffic F (1987). Effect of DNA<br />

gyrase inhibitors pefloxacin, five other quinolones, Novobiocin and<br />

chlorobiocin on Escherichia coli Topoisomerase I. Antimicrob. Agents<br />

Chemother. 31(12): 1925-1928.<br />

Wang JC, Liu LF (1979). DNA topoisomerases: enzymes that catalyze<br />

the concerted breakage and rejoining of DNA backbone bonds, In J H<br />

Taylor (ed.), Molecular genetics, part 3. <strong>Academic</strong> Press, Inc., New<br />

York. pp. 65-88.


African Journal of Biotechnology Vol. 10(72), pp. 16337-16341, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2239<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Cytotoxic constituents of Clausena excavata<br />

N. W. Muhd Sharif, N. A. Mustahil, H. S. Mohd Noor, M. A. Sukari*, M. Rahmani, Y. H. Taufiq-<br />

Yap and G. C. L. Ee<br />

Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor Darul Ehsan,<br />

Malaysia.<br />

Accepted 7 October, 2011<br />

Phytochemical investigation on leaves, stem bark and roots of Malaysian Clausena excavata has led to<br />

the isolation and identification of limonoid compounds, clausenolide-1-methyl ether (1) and clausenarin<br />

(2), carbazole alkaloids, 3-formyl-2,7-dimethoxycarbazole (3) and clausine-K (4) together with<br />

coumarins, xanthyletin (5), dentatin (6) and nordentatin (7). Extracts of roots and isolated compounds<br />

(1), (2), (5) and (6) were subjected to cytotoxic screening against various cancer cell lines (HL-60, MCF-<br />

7, HeLa and HT-29). All roots extracts except methanol showed strong activity against HL-60 and MCF-7<br />

cancer cell lines with IC50 values ranging <strong>from</strong> 4 to 6 µg/ml. Dentatin (6) was found to be the most<br />

cytotoxic constituent against all cancer cell lines with IC50 values ranging <strong>from</strong> 5 to 10 µg/ml.<br />

Key words: Clausena excavata, carbazole alkaloids, limonoids, coumarins, cytotoxic.<br />

INTRODUCTION<br />

The Rutaceae family is one of the largest plant family<br />

with approximately 150 genera and 1,500 species<br />

(Jones, 1995), distributed largely in tropical and<br />

subtropical parts of the world. The Rutaceae family is<br />

known throughout the world for its citrus fruits such as<br />

oranges, lemons and grape fruit (Sharma, 1993).<br />

Essential oils obtained <strong>from</strong> the leaves and fruit peel of<br />

various species of Rutaceae family especially <strong>from</strong> the<br />

genus Clausena, Citrus and Murraya are popularly used<br />

in medicine and perfumery. Clausena excavata Burm.F.<br />

locally known as “Pokok Kemantu” (ghostly tree) or<br />

“Pokok Cemamar” (diarrhea tree) is one of Malaysian<br />

species of “ulam” with high anti-oxidant properties. The<br />

plant has been claimed to be a useful folk medicine in the<br />

treatment of various diseases such as cough, rhinitis,<br />

fever and stomach disorder.<br />

This plant has been reported to possess various<br />

biological activities such as anti-inflammatory, antiplatelet,<br />

antiplasmodic, antimicrobial, antinociceptive and<br />

anti-immunomodulatory (Wu et al., 1994). Previous<br />

phytochemical investigations have reported isolation of<br />

some carbazole alkaloids, coumarins and limonoids (Su<br />

et al., 2009; Taufiq et al., 2007; Ito et al., 1997; Wu et al.,<br />

1997). In more recent study, several natural and<br />

*Corresponding author. E-mail: aspollah@science.upm.edu.my.<br />

synthesized analogues of pyranocoumarins obtained<br />

<strong>from</strong> this plant were found to be potent against hepatitis B<br />

virus and showed significant cytotoxicity against a panel<br />

of cancer cell lines (Su et al., 2009). In this paper, we<br />

reported the isolation and characterization of alkaloids,<br />

coumarins and limonoids <strong>from</strong> the plant, and the cytotoxic<br />

activity of the plant extracts and isolated compounds<br />

against different cancer cell lines (HL-60, MCF-7, HT-29<br />

and HeLa). The work reported here is the first on<br />

cytotoxic screening of roots extracts and isolated<br />

compounds, clausenolide-1-methyl ether (1) and<br />

clausenarin (2) <strong>from</strong> Malaysian C. excavata against<br />

various cancer cell lines.<br />

MATERIALS AND METHODS<br />

C. excavata Burm.F. was collected <strong>from</strong> Pendang, Kedah in<br />

December 2006. The plant was identified by Mr. Shamsul Khamis<br />

<strong>from</strong> Institute of Bioscience, Universiti Putra Malaysia. A voucher<br />

specimen of this plant was deposited in the herbarium of the<br />

institute. The plant materials were separated into leaves, stem bark<br />

and roots, air-dried and ground prior to use.<br />

Extraction and isolation<br />

Different parts of C. excavata were extracted successively with<br />

hexane, chloroform and methanol at room temperature. The<br />

extracts were evaporated to dryness under reduced pressure <strong>using</strong>


16338 Afr. J. Biotechnol.<br />

rotary evaporator to give crude extracts. Air-dried and ground<br />

leaves (778 g) yielded hexane (8.7 g), chloroform (11.9 g) and<br />

methanol (15.8 g) extracts, respectively while stem bark (780 g)<br />

yielded hexane (3.5 g), chloroform (35.1 g) and methanol (25.2 g)<br />

extracts, respectively. Similar procedures on roots of the plant (686<br />

g) yielded hexane (12.6 g), chloroform (35.1 g), acetone (11.0 g)<br />

and methanol (50.0 g) extracts, respectively. Each of these extracts<br />

was subjected to column chromatography over silica gel <strong>using</strong> a<br />

stepwise gradient elution system (hexane/ethyl acetate and ethyl<br />

acetate/methanol). Column chromatography separation of hexane<br />

extract of the leaves (6.7 g) yielded stigmasterol (35 mg), while its<br />

chloroform extract (9.9 g) yielded 3-formyl-2,7-dimethoxycarbazole<br />

(3, 20 mg). Similar column separation of hexane extract of stem<br />

bark (2 g) yielded stigmasterol (10 mg) and β-sitosterol (15 mg),<br />

while the chloroform extract (33.1 g) yielded also β-sitosterol (15<br />

mg), together with clausenarin (2, 30 mg), clausenolide-1-methyl<br />

ether (1, 15 mg) and clausine-K (4, 20 mg). In addition, clausenarin<br />

(2, 35 mg) was also obtained <strong>from</strong> the methanol extract (23.2 g).<br />

Meanwhile, column chromatography fractionation of hexane extract<br />

of the roots of the plant (10.6 g) yielded coumarins xanthyletin (5,<br />

36 mg) and dentatin (6,100 mg), while the chloroform extract<br />

yielded also dentatin (6, 50 mg) together with nordentatin (7, 10<br />

mg).<br />

Clausenolide-1-methyl ether (1) was isolated as colourless<br />

powder, C26H34O8, HR-FAB-MS: [M+H] + m/z 475.2322. m.p. 235 to<br />

237°C (Wu et al., 1993, m.p. 190-191°C). IR (KBr disc, νmax, cm -1 ):<br />

3502, 1724, 1680, 1160, 922. EIMS: 474 ([M] + , 2), 443 (15), 459<br />

(3), 351 (64), 319 (66), 277 (70), 217 (44), 95 (100), 69 (84), 55<br />

(51). 1 H and 13 C NMR spectral data are in a good agreement with<br />

the published data (Wu et al., 1993).<br />

Clausenarin (2) was isolated as colourless needle-shaped crystal,<br />

C26H32O9, m.p. 292 to 294°C (Ngadjui et al., 1989, m.p. 293-294°C).<br />

IR (KBr disc, νmax, cm -1 ): 3483, 1719, 1638, 1162, 875. EIMS: 488<br />

([M] + , 10), 474 (5), 445 (3), 365 (100), 289 (8), 277 (27), 133 (35),<br />

107 (34), 95 (64). 1 H and 13 C NMR spectral data are in good<br />

agreement with the published data (Ngadjui et al., 1989).<br />

3-Formyl-2,7-dimethoxycarbazole (3) was isolated as greenish<br />

needle, C15H13NO3, m.p 217-219°C (Peh, 2001, m.p. 217 to 219°C).<br />

IR (KBr disc, νmax, cm -1 ): 3438, 2924, 1664, 1158. EIMS: 255 ([M] + ,<br />

100), 240 (43), 226 (6), 209 (20), 197 (11), 191 (3), 184 (17), 179<br />

(4), 169 (30), 161 (7), 153 (15), 147 (3), 141 (22). 1 H and 13 C NMR<br />

spectral data are in good agreement with the published data (Peh,<br />

2001).<br />

Clausine-K (4) was isolated as yellow needle-shaped crystal,<br />

C15H13NO4, m.p. 254 to 256°C (Wu et al., 1996, m.p. 250-256 ºC).<br />

IR (KBr disc, νmax, cm -1 ): 3412, 3317, 1665, 1163. EIMS: 271 ([M] + ,<br />

100), 256 (28), 240 (16), 212 (15), 196 (15). 1 H and 13 C NMR<br />

spectral data are in a good agreement with the published data (Wu<br />

et al., 1996).<br />

Xanthyletin (5) was isolated as colourless needle-shaped crystal,<br />

C14H12O3, m.p. 119 to 121°C (Wu et al., 1997, m.p. 120 to 121°C).<br />

IR (KBr disc, νmax, cm -1 ): 1722, 1622, 1562, 1160. EIMS: 228 ([M] + ,<br />

20), 213 (100), 185 (21), 128 (10), 115 (8), 91 (24), 51 (18). 1 H and<br />

13 C NMR spectral data are in good agreement with the published<br />

data (Wu et al., 1997).<br />

Dentatin (6) was isolated as colourless needle-shaped crystal,<br />

C20H22O4, m.p. 90 to 92°C (Xin et al., 2008, m.p. 91 to 92°C). IR<br />

(KBr disc, νmax, cm -1 ): 1681, 1592, 1460, 1168. EIMS: 326 ([M] + ,<br />

20), 311 (100), 281 (17), 269 (3), 253 (8), 241 (3), 227 (5), 213 (3).<br />

1 H and 13 C NMR spectral data are in good agreement with the<br />

published data (Xin et al., 2008).<br />

Nordentatin (7) was isolated as colourless needle-shaped crystal,<br />

C19H20O4, m.p. 183 to 186°C (Wu and Furukawa, 1982, m.p. 178 to<br />

180°C). IR (KBr disc, νmax, cm -1 ): 3311, 1681, 1593, 1184. EIMS:<br />

312 ([M] + , 45), 297 (100), 283 (3), 269 (15), 255 (10), 241 (30). 1 H<br />

and 13 C NMR spectral data are in good agreement with the<br />

published data (Wu and Furukawa, 1982).<br />

Cytotoxic assay<br />

The crude extracts and selected pure compounds including<br />

clausenolide-1-methyl ether (1), clausenarin (2), xanthyletin (5) and<br />

dentatin (6) were screened for cytotoxic activity against HL-60<br />

(human promyelocytic leukemia), MCF-7 (human breast cancer),<br />

HT-29 (human colon cancer) and HeLa (human cervical cancer)<br />

cancer cell lines. The assay was carried out according to the<br />

methods previously described (Sukari et al., 2010). The cytotoxic<br />

index used was IC50, which is the concentration that gave 50%<br />

inhibition of the cell as compared to the untreated control. Extracts<br />

and pure compounds which exhibits cytotoxic index IC50 less than<br />

10 μg/ml were considered to have significant cytotoxic activity<br />

(Mackeen et al., 1997).<br />

RESULTS AND DISCUSSION<br />

Extraction and isolation work on different parts of<br />

Malaysian C. excavata have led to the identification and<br />

characterization of limonoid compounds, carbazole<br />

alkaloids and coumarins. Clausenolide-1-methyl ether<br />

(1), clausenarin (2) and carbazole alkaloid, clausine-K (4)<br />

were obtained <strong>from</strong> chloroform extract of stem bark of C.<br />

excavata. Clausenarin (2) was also gotten <strong>from</strong><br />

fractionation of methanol extract of stem bark. Another<br />

carbazole alkaloid, 3-formyl-2,7-dimethoxycarbazole (3)<br />

was isolated <strong>from</strong> chloroform extract of the leaves.<br />

Besides, three coumarins identified as xanthyletin (5),<br />

dentatin (6) and nordentatin (7) were isolated <strong>from</strong><br />

hexane and chloroform extracts of the plant. Figure 1<br />

shows the chemical structures of isolated compounds<br />

<strong>from</strong> different parts and various extracts of Malaysian C.<br />

excavata. The structures of the compounds were<br />

elucidated <strong>using</strong> spectroscopic methods and comparison<br />

of their spectral and physical data with the literature<br />

values.<br />

Clausenolide 1-methyl ether (1) has been reported only<br />

once and this is the first isolation of the compound <strong>from</strong><br />

Malaysian species. The compound was obtained as<br />

colourless powder and the molecular formula was<br />

determined to be C26H34O8 by HR-FAB-MS at m/z<br />

475.2322 [M+H] + (calculated for C26H35O8 475.2332). The<br />

infrared spectrum showed a lactone carbonyl peak at<br />

1724 cm -1 and a ketone carbonyl at 1680 cm -1 , whereas<br />

low intensity peak at 922 cm -1 was due to β-substituted<br />

furan. Hydroxyl group displayed a strong absorption band<br />

at 3502 cm -1 . Its 1 H NMR spectrum was similar to<br />

clausenolide (Ngadjui et al., 1989), except the present of<br />

singlet at δ 3.23 due to methoxyl group attached to βsubstituted<br />

tetrahydrofuran ring. All the compounds (1) to<br />

(7) have been previously isolated <strong>from</strong> C. excavata<br />

collected <strong>from</strong> different Asian regions. However, out of


H 3CO<br />

H 3CO<br />

O<br />

HO<br />

O<br />

O<br />

(1)<br />

N<br />

H<br />

(3) R= CHO<br />

(4) R= COOH<br />

O<br />

O<br />

O<br />

R<br />

OCH 3<br />

OR<br />

O<br />

O O<br />

(6) R= CH3<br />

(7) R= H<br />

Figure 1. Structures of isolated compounds (1-7).<br />

seven constituents mentioned here, only clausenarin (2),<br />

3-formyl-2,7-dimethoxycarbazole (3) and clausine-K (4)<br />

has been isolated <strong>from</strong> another collection of Malaysian<br />

species reported by Peh (2001). In both cases, the plant<br />

materials were collected <strong>from</strong> different locations of Kedah<br />

in north Malaysia peninsula. Apparently, there are<br />

variations of chemical constituents obtained which might<br />

be due to different soil conditions.<br />

Extracts of roots together with isolated compounds,<br />

clausenolide-1-methyl ether (1), clausenarin (2),<br />

xanthyletin (5) and dentatin (6) were subjected to<br />

cytotoxic screening against various cancer cell lines (HL-<br />

60, MCF-7, HeLa and HT-29). The results are<br />

summarized in Table 1. Hexane, chloroform and acetone<br />

extracts exhibited strong activity against HL-60 and MCF-<br />

7 cancer cell lines with IC50 values ranging <strong>from</strong> 4 to 6<br />

μg/ml. The extracts also showed moderate to strong<br />

HO<br />

O<br />

HO<br />

O<br />

O<br />

O O O<br />

O<br />

(2)<br />

(5)<br />

O<br />

Muhd Sharif et al. 16339<br />

O<br />

effects against HT-29 and HeLa cancer cell lines, except<br />

non-active action of chloroform extract against HT-29<br />

cancer cell line.<br />

Dentatin (6) was the most cytotoxic compound against<br />

all cancer cell lines tested with IC50 values ranging <strong>from</strong> 5<br />

to 10 μg/ml as compared to coumarin and xanthyletin (5)<br />

which showed low to moderate activity against all cancer<br />

cell lines tested. However, limonoid compounds (1) and<br />

(2) showed insignificant cytotoxicity against all cancer cell<br />

lines tested with IC50 values more than 30 μg/ml, except<br />

for compound (1) which showed moderate activity against<br />

HL-60 and MCF-7 cancer cell lines. The cytotoxic activity<br />

of compounds (3), (4) and (7) were not carried out due to<br />

insufficient amount of the samples. Most of the crude<br />

extracts <strong>from</strong> roots part were more cytotoxic than the<br />

isolated compounds. These results suggest the<br />

synergistic effects shown by the isolated compounds<br />

O


16340 Afr. J. Biotechnol.<br />

Table 1. Cytotoxicity of roots extracts and compounds against various cancer cell lines.<br />

Plant part Extracts/pure compounds<br />

Roots<br />

Roots<br />

*IC50 (μg/ml) value<br />

HL-60 MCF-7 HT-29 HeLa<br />

Hexane 4.8±0.21 4.8±0.32 12.5±0.27 6.8±0.32<br />

Chloroform 5.8±0.12 5.5±0.21 >30 5.0±0.28<br />

Acetone 5.0±0.23 6.0±0.29 11.5±0.23 11.9±0.24<br />

Methanol 23.8±0.27 >30 >30 10.9±0.32<br />

Xanthyletin (5) 19.5±0.23 19.5±0.25 26.8±0.29 25.5±0.30<br />

Dentatin (6) 5.2±0.24 8.0±0.26 9.5±0.22 9.6±0.27<br />

Stem Clausenolide 1-methyl ether (1) 18.5±0.23 21.5±0.28 >30 >30<br />

Bark Clausenarin (2) >30 >30 >30 >30<br />

Standards<br />

Goniothalamin<br />

Tamoxifen<br />

5-Fluorouracil<br />

< 10 μg/ml = Strong activity, 10 to 20 μg/ml = moderate activity, 20 to 30 μg/ml= low activity.<br />

*Values are means ± standard deviation of triplicate analyses<br />

towards the cytotoxic properties of the crude extracts.<br />

Previous study on cytotoxic activity of Malaysian C.<br />

excavata have shown that the stem bark extract and<br />

isolated compound, 3-carbomethoxy-2-hydroxy-7methoxycarbazole<br />

(Clausine-TY) exhibit significant<br />

cytotoxicity against CEMss (human T4 lymphoblastoid)<br />

cancer cell line (Taufiq et al., 2007). On the other hand,<br />

the leaves extract of the plant was found to be not active.<br />

Xanthyletin (5) has been reported to show broad<br />

activity against a panel of cancer cell lines (Kawaii et al.,<br />

2001; Yong et al., 2001; Lie et al., 2003; Pettit et al.,<br />

2004; Anaya et al., 2005). Our results reveal that dentatin<br />

(6) showed strong activity against MCF-7 cancer cell line,<br />

while its analogue nordentatin (7) was reported to exhibit<br />

moderate activity against the same cancer cell (Su et al.,<br />

2009). The replacement of hydroxyl group with methoxyl<br />

group at C-5 position has increased the cytotoxicity of<br />

these analogues against MCF-7 cell lines. Another<br />

investigation by Kawaii et al. (2001) reported that dentatin<br />

(6) has been implicated as a promising chemopreventive<br />

agent against several cancer cell lines. However, the<br />

compound demonstrated insignificant cytotoxic activity<br />

against other cancer cell lines tested (Sunthitikawinsakul<br />

et al., 2003; Songsiang et al., 2011). The work reported<br />

here is the first on cytotoxic screening of roots extracts<br />

and isolated compounds, clausenolide-1-methyl ether (1)<br />

and clausenarin (2) <strong>from</strong> Malaysian C. excavata against<br />

different cancer cell lines mentioned earlier.<br />

ACKNOWLEDGEMENT<br />

We thank The Ministry of Science, Technology and<br />

Innovation (MOSTI) for the Fundamental Research Grant<br />

1.5±0.20 3.0±0.20 1.5±0.30 1.2±0.21<br />

Scheme and Graduate Research Fellowship (UPM) given<br />

to one of the authors (N. W. Muhd Sharif).<br />

REFERENCES<br />

Anaya AL, Rubalcava MM, Ortega RC, Santana CG, Monterrubio PNS,<br />

Bautista BEH, Mata R (2005). Allelochemicals <strong>from</strong> Stauranthus<br />

perforatus, a Rutaceous tree of the Yucatan Peninsula, Mexico.<br />

Phytochemistry, 66: 487-494.<br />

Ito C, Katsuno S, Ohta H, Omura M, Kajiura I, Furukawa H. (1997).<br />

Constituents of Clausena excavata. Isolation and structural<br />

elucidation of new carbazole alkaloids. Chem. Pharm. Bull. 44: 48-52.<br />

Jones DT (1995). Rutaceae. In: The Flora of Sabah and Sarawak, ed.<br />

Seopadmo E and Wong KM, Kuala Lumpur: Ampang Press Sdn.<br />

Bhd. pp 351-401.<br />

Kawaii S, Tomono Y, Ogawa K, Sugiura M, Yano M, Yoshizawa Y, Ito<br />

C, Furukawa H (2001). Antiproliferative effect of isopentenylated<br />

coumarins on several cancer cell lines. Anticancer Res. 21(3B):<br />

1905-1911.<br />

Lie CL, Ling LY, Cheng JC (2003). Cytotoxic naphthoquinones and<br />

plumbagic acid glucosides <strong>from</strong> Plumbago zeylanica.<br />

Phytochemistry, 62: 619-622.<br />

Mackeen MM, Ali AM, El-Sharkawy SH, Manap MY, Salleh KM, Lajis<br />

NH, Kawazu K (1997). Antitumour and cytotoxic properties of some<br />

Malaysian traditional vegetables (ulam). Int. J. Pharmacog. 35: 174-<br />

178.<br />

Ngadjui BT, Ayafor JF, Sondengam BL, Connolly JD (1989). Limonoids<br />

<strong>from</strong> Clausena anisata. J. Nat. Prod. 52(4): 832-836.<br />

Peh TH (2001). Chemical Constituents and Biological Activities of<br />

Clausena excavata and Some Citrus Species (Rutaceae). M. Sc.<br />

Thesis. Universiti Putra Malaysia, Selangor, Malaysia.<br />

Pettit GR, Zhang Q, Pinilla V, Herald DL, Doubek DL, Duke JA. (2004).<br />

Isolation and Structure of Gustastatin <strong>from</strong> the Brazilian Nut Tree<br />

Gustavia hexapetala. J. Nat. Prod. 67: 983-985.<br />

Sharma OP (1993). Plant Taxonomy, New Delhi; Tata McGraw-Hill pp<br />

274-278: 291-294.<br />

Songsiang U, Thongthoom T, Boonyarat C, Yenjai C (2011). Claurailas<br />

A-D, Cytotoxic Carbazole Alkaloids <strong>from</strong> the Roots of Clausena<br />

harmandiana. J. Nat. Prod. 74: 208-212.<br />

Sunthitikawinsakul A, Kongkathip N, Kongkathip B, Phonnakhu S, Daly


JW, Spande TF, Nimit Y, Rochanaruangrai S (2003). Coumarins and<br />

Carbazoles <strong>from</strong> Clausena excavata Exhibited Antimycobacterial and<br />

Antifungal Activities. Planta Med. 69(2): 155-157.<br />

Su CR, Yeh SF, Liu CM, Damu AG, Kuo TH, Chiang PC, Bastow KF,<br />

Lee KH, Wu TS (2009). Anti-HBV and cytotoxic activities of<br />

pyranocoumarin derivatives. Bioorg. Med. Chem. 17: 6137-6143.<br />

Sukari MA, Tang SW, Neoh BK, Ee GCL , Rahmani M (2010).<br />

Antileukemic Activity and Chemical Constituents of Some<br />

Zingiberaceae Species. Asian. J. Chem. 22(10): 7891-7896.<br />

Taufiq-Yap YH, Peh TH, Ee GCL, Rahmani M, Sukari MA, Ali AM. A<br />

Muse R (2007). A new cytotoxic carbazole alkaloid <strong>from</strong> Clausena<br />

excavata. J. Nat. Prod. Res. 9: 310-313.<br />

Wu TS, Furukawa H (1982). Biological and Phytochemical Investigation<br />

of Clausena excavata. J. Nat. Prod. 45(6): 718-720.<br />

Wu TS, Huang SC, Lai JS (1993). Limonoids <strong>from</strong> the Stem Bark of<br />

Clausena excavata. J. Chin. Chem. Soc. 40(3): 319-320.<br />

Muhd Sharif et al. 16341<br />

Wu CC, Ko FN, Wu TS, Teng CM (1994). Antiplatelet effects of<br />

clausine-D isolated <strong>from</strong> Clausena excavata. Biochimica et<br />

Biophysica Acta 1201(1): 1-6.<br />

Wu TS, Huang SC, Wu PL, Teng CM (1996). Carbazole alkaloids <strong>from</strong><br />

Clausena excavata and their biological activity. Phytochemistry,<br />

43(1): 133-140.<br />

Wu TS, Huang SL, Wu PL (1997). Pyrano- and furocarbazole alkaloids<br />

<strong>from</strong> the root bark of Clausena excavata. Heterocycles 45(5): 969-<br />

973.<br />

Xin ZQ, Lu JJ, Ke CQ, Hu CX, Lin LP, Ye Y (2008). Constituents <strong>from</strong><br />

Clausena excavata. Chem. Pharm. Bull. 56: 827-830.<br />

Yong J, Cecil CS, John NS, Jiangang L, Chi-Tang Ho (2001). Cytotoxic<br />

Coumarins and Lignans <strong>from</strong> Extracts of the Northern Prickly Ash<br />

(Zanthoxylum americanum). Phytother. Res. 15: 441-443.


African Journal of Biotechnology Vol. 10(72), pp. 16342-16346, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1000<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Antimicrobial activities of methanol and aqueous<br />

extracts of the stem of Bryophyllum pinnatum Kurz<br />

(Crassulaceae)<br />

Nwadinigwe, Alfreda Ogochukwu<br />

Department of Botany, University of Nigeria, Nsukka, Enugu State, Nigeria. E-mail: alfreda.nwadinigwe@unn.edu.ng,<br />

fredanwad@yahoo.com. Tel: +234(0)8036867051. Fax: 042-770705.<br />

Accepted 22 July, 2011<br />

The stem of Bryophyllum pinnatum (Crassulaceae), used in ethnomedicine for the treatment of various<br />

diseases, was screened for secondary metabolites and antimicrobial activity on Salmonella typhi,<br />

Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis, Candida albicans and Aspergillus<br />

niger. Phytochemical analysis showed the presence of alkaloids, glycosides, proteins, carbohydrates,<br />

saponins, steroids, tannins and terpenoids in both the methanol and aqueous extracts. The<br />

antimicrobial activity result showed that the methanol extract significantly (P < 0.01) demonstrated<br />

antibacterial action against B. subtilis and S. aureus at 100, 50 and 25 mg/ml concentrations, <strong>using</strong> the<br />

agar diffusion technique. The aqueous extract also significantly (P < 0.01) showed antibacterial action<br />

against S. typhi and B. subtilis at the same concentrations. Both extracts did not demonstrate any<br />

antimicrobial activity against P. aeruginosa, C. albicans and A. niger. S. aureus showed the lowest<br />

minimum inhibitory concentration (MIC) of 6.29 mg/ml in the methanol extract, while S. typhi showed<br />

the highest MIC of 9.98 mg/ml in the aqueous extract (significant at P < 0.01). The results validate the<br />

use of B. pinnatum stem in ethnomedicine.<br />

Key words: Antimicrobial, Bryophyllum stem extracts.<br />

INTRODUCTION<br />

The search for the therapeutic use of natural products is<br />

on the increase and this may be caused by the resistance<br />

of micro-organisms to many orthodox antibiotics.<br />

Bryophyllum pinnatum Kurz [syn. Bryophyllum calycinum,<br />

Kalanchoe pinnata Pers, common names: African –<br />

never – die, resurrection plant, life plant (Anonymous,<br />

2005), miracle leaf, air plant (Wikipedia, 2009), Family<br />

Crassulaceae] is an erect, perennial, fleshy herb with a<br />

height of 60 to 120 cm. It is branched <strong>from</strong> the base, with<br />

opposite, simple or trifoliolate, petiolate leaves. The<br />

glabrous, thick, fleshy leaf is about 10 cm long and 5 to 6<br />

cm broad, obovate to obovate – orbicular, coarsely<br />

crenate and sometimes bears bulbils in the axils. The<br />

drooping flowers occur in lax panicles with inflated,<br />

tubular, 4-lobed calyx that is about 3cm long. The calyx<br />

lobes are triangular and very acute with greenish yellow<br />

and purplish base. The tubular 4-lobed, gamopetalous<br />

corolla are contracted above the base and a little longer<br />

than the calyx. The corolla lobes are ovate – lanceolate,<br />

abruptly acute – acuminate and reddish purple at the<br />

upper part. Plantlets may grow along the notches of the<br />

leaf margins and can develop while still attached to the<br />

plant or when detached. The plant is native to<br />

Madagascar, introduced to and now naturalized in many<br />

parts of Tropical Africa, Asia and South America<br />

(Hutchinson and Dalziel, 1954).<br />

The plant can be used in treating high blood pressure,<br />

stroke, convulsion, pain, epilepsy, candidiasis, bladder<br />

infection and also as an anti-poison (Anonymous, 2005).<br />

In traditional medicine, B. pinnatum has been used to<br />

treat infections, rheumatism, inflammation, hypertension<br />

and kidney stones (Wikipedia, 2009). The pounded fresh


material is applied as a poultice for sprains, boils,<br />

abscess, eczema, infections, burns, carbuncle and<br />

erysipelas. Okwu and Josiah (2006) reported that the<br />

availability of ascorbic acid in B. pinnatum provides the<br />

biochemical basis for the ethnomedical use of the plant<br />

extract for the treatment and prevention of infections, cold<br />

and other diseases like prostrate cancer. Glycosides,<br />

steroids, flavonoids, bufadienolides, organic acids,<br />

alkaloids, tannins, phenolic compounds, gums, mucilages,<br />

lignin, etc., have been detected in the leaves of B.<br />

pinnatum (Marriage and Wilson, 1971; Kamboj and<br />

Saluja, 2010). Also, bryophillin A, B and C, a potent cytotoxic<br />

bufadienolide orthoacetate was found in the leaf<br />

extract (Yamagishi et al., 1989). Bryophillin C show<br />

insecticidal properties (Supratman et al., 2000). K.<br />

pinnata contains bufadienolide cardiac glycosides which<br />

can cause cardiac poisoning, particularly in grazing animals<br />

(McKenzie and Dunster, 1986; McKenzie et al.,<br />

1987). Kalanchoe extracts also have immunosuppressive<br />

effects (Lans, 2006).<br />

The flavonoids, polyphenols, triterpenoids and other<br />

chemical constituents of the plant were speculated to<br />

account for the antinociceptive, anti-inflammatory, anti<br />

hypertensive and antidiabetic properties observed in the<br />

aqueous leaf extracts (Ojewole, 2005). Mudi and Ibrahim<br />

(2008) reported that the n-hexane fraction of B. pinnatum<br />

leaves showed antibacterial activity against<br />

Staphylococcus aureus, Klebsiella pneumoniae and<br />

Salmonella typhi, while the ethyl acetate soluble fraction<br />

showed mild activity against Escherichia coli, S. aureus<br />

and S. typhi. Broad spectrum antibacterial and antifungal<br />

activities were detected in the crude leaf extract of B.<br />

pinnatum (Aquil and Ahmad, 2003). The aqueous leaf<br />

extract of B. pinnatum had a neurosedative and muscle<br />

relaxant activities and produced a depressant action on<br />

the central nervous system of mice (Yemitan and<br />

Salahdeen, 2005). This depressant action was attributed<br />

to bufadienolide and other water soluble constituents in<br />

the extract (Salahdeen and Yemitan, 2006). Igwe and<br />

Akunyili (2005) reported that the aqueous leaf extract of<br />

B. pinnatum has a strong analgesic potency comparable<br />

in a time and dose – dependent manner to a non<br />

steroidal anti-inflammatory drug.<br />

Most of these investigations were centered on the leaf<br />

extract of B. pinnatum. However, not much work has<br />

been carried out on the stem of this highly medicinal<br />

plant. The objective of this work therefore was to investigate<br />

the antimicrobial activities of the stem of B.<br />

pinnatum.<br />

MATERIALS AND METHODS<br />

Collection of plant material and phytochemical screening<br />

The stem of B. pinnatum Kurz was collected at Nsukka, Enugu<br />

State and authenticated by Mr. A. Ozioko, a Taxonomist of the<br />

Bioresearch Development and Conservative Programme Centre in<br />

Nsukka, Enugu State. A voucher specimen (U.N.H. No. 1/15) was<br />

Ogochukwu 16343<br />

deposited at the Herbarium in Botany Department, University of<br />

Nigeria, Nsukka, Nigeria. The stem was air dried and pulverized.<br />

300 g of the powdered stem was macerated separately with 1.5 L of<br />

methanol and 1.5 L of distilled water and both were concentrated to<br />

dryness with a vacuum pump. Phytochemical screening was carried<br />

out on the methanol and the aqueous extracts to determine the<br />

secondary metabolites content (Harborne, 1973; Trease and<br />

Evans, 1983).<br />

Test for antimicrobial activity<br />

Antimicrobial tests were carried out on the methanol and aqueous<br />

extracts <strong>using</strong> the agar diffusion method (Pelczar et al., 1993). 200<br />

mg of each extract was dissolved in 2 ml of dimethyl sulphoxide<br />

(DMSO) to obtain 100 mg/ml concentration. Further dilutions of the<br />

stock solution were made <strong>using</strong> a two-fold serial dilution technique,<br />

to give 50, 25, 12.5 and 6.25 mg/ml concentrations. This same<br />

dilution was carried out on gentamicin (as a reference drug) to<br />

obtain 100, 50, 25, 12.5 and 6.25 µg/ml, concentrations. Nutrient<br />

agar medium was used to test the following isolates: S. typhi, P.<br />

aeruginosa, S. aureus, B. subtilis, C. albicans and A. niger. These<br />

organisms were clinical isolates obtained <strong>from</strong> the University of<br />

Nigeria Medical Centre, Nsukka. They were identified at the<br />

Department of Microbiology, University of Nigeria, Nsukka. S. typhi,<br />

P. aeruginosa, S. aureus and B. subtilis were maintained on blood<br />

agar slants at 4°C before use, while C. albicans and A. niger (fungi)<br />

were preserved on Sabourand’s dextrose agar (Oxoid) slants at<br />

4°C, prior to use. 20 ml of sterile solidified Mueller-Hinton nutrient<br />

agar was poured into a sterile Petri dish and seeded with 0.1 ml of<br />

standardized broth culture of the test micro-organism (1.0 × 10 7<br />

cfu/ml). This was carried out for all the test micro-organisms. Five<br />

equidistant wells were made in each of the plates with a sterile 6.0<br />

mm diameter cork borer. Using a sterile dropper, 0.3 ml of each of<br />

100, 50, 25, 12.5 and 6.25 mg/ml concentration of the extracts were<br />

dispensed into each corresponding well, made in the plates. A well<br />

containing gentamicin was made in each of the plates seeded with<br />

the bacteria, while the plates seeded with fungi had ketoconazone<br />

in the well, as a reference drug. The plates were allowed to stand<br />

for 1 h for the prediffusion of the extract to occur. The plates with<br />

bacteria were incubated at 37°C for 24 h while those with fungi<br />

were incubated at 25°C for 48 h. They were observed and the<br />

presence of zones of inhibition around the wells were measured<br />

and taken as an indication of antimicrobial activity (Alade and Irobi,<br />

1993). The experiment was carried out in two replicates and the<br />

mean for each organism was determined.<br />

For the determination of MIC, methanol and aqueous extracts, as<br />

well as gentamicin (as a reference drug) were used on the<br />

susceptible micro-organisms. The agar diffusion method (Pelczar et<br />

al., 1993) was adopted. 200 mg of each extract was dissolved in 2<br />

ml of DMSO to obtain 100 mg/ml concentration. Two-fold serial<br />

dilution was made to obtain 50, 25, 12.5 and 6.25 mg/ml<br />

concentrations. The same two-fold dilutions of 100 µg/ml<br />

gentamicin were made to obtain 50, 25, 12.5 and 6.25 µg/ml<br />

concentrations. These concentrations were put into wells bored in<br />

the seeded agar plates containing the susceptible micro-organisms,<br />

as above. The experiment was carried out in two replicates. The<br />

agar plates were placed in an incubator at 37°C for 24 h, after<br />

which the mean diameter of the zone of inhibition was measured.<br />

The graph of the square of the inhibition zone diameter was plotted<br />

against log concentration for each micro-organism. A regression<br />

line was drawn through the points. From these graphs, the<br />

representative MIC values were determined as the antilogarithm of<br />

the intercept on the logarithm of concentration axis. Analysis of<br />

variance (ANOVA) was determined on the data obtained, while the<br />

multiple comparisons were carried out between treatment means<br />

<strong>using</strong> Duncan’s multiple range tests at P< 0.05 confidence level<br />

(Edafiogho, 2006).


16344 Afr. J. Biotechnol.<br />

RESULTS<br />

Table 1. Result of the phytochemical analyses of the methanol and aqueous extracts of<br />

Bryophyllum pinnatum stem.<br />

Test Methanol extract Aqueous extract<br />

Acidic compounds - -<br />

Alkaloids +++ ++<br />

Carbohydrates +++ +++<br />

Fats and Oil - -<br />

Flavonoids ++ -<br />

Glycosides +++ ++<br />

Proteins ++++ +++<br />

Resins ++ -<br />

Saponins + ++++<br />

Steroids ++++ +<br />

Tannins + +<br />

Terpenoids ++++ +<br />

Reducing sugar +++ ++<br />

-, Absent; + present in low concentration; ++ present in moderate concentration; +++ present in high<br />

concentration; ++++ present in very high concentration.<br />

The methanol stem extract revealed the presence of high<br />

concentrations of alkaloids, carbohydrates, glycosides,<br />

proteins, steroids, terpenoids and reducing sugar, while<br />

the aqueous extract showed carbohydrates, proteins and<br />

saponins in high concentration (Table 1). Acidic<br />

compounds, fats and oils were not detected in both<br />

extracts. The results of the antimicrobial activity showed<br />

that the methanol stem extract significantly (P< 0.01)<br />

demonstrated antibacterial activities against B. subtilis<br />

and S. aureus, while the aqueous stem extract<br />

significantly (P< 0.01) showed antibacterial activities<br />

against S. typhi and B. subtilis, both at a concentration of<br />

25 mg/ml and above (Table 2). Also, the methanol and<br />

the aqueous extracts showed the least antibacterial<br />

activities at a concentration of 12.5 mg/ml for S. aureus<br />

and B. subtilis, respectively. However, both extracts did<br />

not show any antimicrobial activity against P. aeruginosa,<br />

C. albicans and A. niger. For both extracts, 100 mg/ml<br />

was significantly (P< 0.01) the most effective against all<br />

the bacteria used. However, for the methanol extract,<br />

100 mg/ml was not significantly different <strong>from</strong> 50 mg/ml,<br />

as regards S. aureus. The lower the concentration, the<br />

lower the effectiveness to the extent that 6.25 mg/ml<br />

concentration exhibited no activity against any microorganism.<br />

Comparatively, gentamicin (the standard drug)<br />

showed significantly (P< 0.01) higher antibacterial<br />

activities against B. subtilis, S. aureus and S. typhi at a<br />

concentration of 12.5 µg/ml and above.<br />

For MIC, the antibacterial activities of the methanol<br />

extract were significantly (P< 0.01) different <strong>from</strong> those of<br />

the aqueous extract and gentamicin (Table 3). S. aureus<br />

showed the lowest MIC in the methanol extract, while S.<br />

typhi demonstrated the highest MIC in the aqueous<br />

extract. However, for gentamicin, the reverse was the<br />

case for MIC. The methanol extract inhibited B. subtilis<br />

more than the aqueous extract. These effects were<br />

significant at P


Ogochukwu 16345<br />

Table 2. Mean inhibitory zone diameter (mm) of different concentrations of methanol and aqueous extracts of Bryophyllum pinnatum stem and gentamicin on the test micro-organisms.<br />

Methanol extract Aqueous extract Gentamicin<br />

Micro-organism<br />

Concentration (mg/ml) Concentration (mg/ml) Concentration (µg/ml)<br />

100 50 25 12.5 6.25 100 50 25 12.5 6.25 100 50 25 12.5 6.25<br />

S. typhi - - - - - 18.0 ± 1.0a 14.0 ± 0.0i 9.5 ± 0.5o - - 29.5 ± 0.5b 28.0 ± 0.0j 21.0 ± 0.0p 17.5 ± 0.5k -<br />

B. subtilis 25.0 ± 0.0c 21.5 ±0.5g 20.0 ± 0.0q - - 24.0 ± 1.0c 20.5 ± 0.5g 15.5 ± 0.5t 13.0 ± 1.0t - 37.5 ± 0.5d 32.0 ± 0.0h 24.5 ± 0.5s 23.0 ± 0.0u -<br />

S. aureus 22.5 ± 0.5e 21.0 ± 0.0e 17.0 ± 1.0m 11.0 ± 1.0v - - - - - - 34.0 ± 0.5f 31.0 ± 0.0l 30.0 ± 0.0l 21.5 ± 0.5w -<br />

P. aeruginosa - - - - - - - - - - - - - - -<br />

C. albicans - - - - - - - - - - - - - - -<br />

A. niger - - - - - - - - - - - - - - -<br />

- , no activity. Values represent means ± standard error. Means followed by the same letter(s) within the same row and column are not significantly different.<br />

Table 3. Minimum inhibitory concentrations (MIC) of gentamicin, methanol and aqueous extracts of<br />

Bryophyllum pinnatum stem on the test micro-organisms.<br />

Micro-organism<br />

the leaf extracts they obtained <strong>from</strong> the traditional<br />

method. In this investigation, the methanol extract<br />

of the stem of B. pinnatum was more active than<br />

the aqueous extract. This is also similar to the<br />

work of Akinsulire et al. (2007) who reported that<br />

of all the extracts of B. pinnatum leaf, the<br />

methanol extract was the most active. Aquil and<br />

Ahmad (2003) reported that the ethanolic extract<br />

of B. pinnatum leaves had broad-spectrum<br />

antimicrobial activity. Ofokansi et al. (2005)<br />

reported that B. pinnatum leaf is effective in the<br />

treatment of typhoid fever and other bacterial<br />

infections, particularly those caused by S. aureus,<br />

E. coli, B. subtilis, P. aeruginosa, Klebsiella<br />

Methanol extract<br />

(mg/ml)<br />

Aqueous extract<br />

(mg/ml)<br />

Gentamicin<br />

(µg/ml)<br />

Salmonella typhi - 9.98 ± 0.01 c 5.25 ± 0.01 e<br />

Bacillus subtilis 8.42 ± 0.01 a 6.42 ± 0.1 d 5.83 ± 0.01 f<br />

Staphylococcus aureus 6.29 ± 0.01 b - 5.97 ± 0.01 g<br />

-, No activity. Values represent means ± standard error. Means followed by the same letter(s) within the same row<br />

and column are not significantly different.<br />

aerogenes, K. pneumoniae and S. typhi. These<br />

investigations supported the use of B. pinnatum in<br />

treating the placenta and navel of a new born<br />

baby, which heal fast and prevent infections<br />

(Okwu, 2003).<br />

Taylor (2010) explained that the traditional use<br />

of B. pinnatum for the treatment of <strong>internal</strong> and<br />

external infections is supported by the fact that the<br />

leaves have antibacterial, antiviral and antifungal<br />

activities. An aqueous extract of the leaves<br />

administered topically and <strong>internal</strong>ly has been<br />

shown to prevent and treat leishmaniasis in both<br />

human and animals. In addition, the traditional<br />

uses of the plant for upper respiratory conditions<br />

and cough might be explained by the report that<br />

shows that the leaf juice has potent anti-histamine<br />

and anti-allergic activities. In vivo studies with rats<br />

and guinea pigs showed that the leaf juice was<br />

able to protect against chemically induced<br />

anaphylactic reactions and death by selectively<br />

blocking histamine receptors in the lungs. Another<br />

in vivo study showed that the leaf extract<br />

protected mice <strong>from</strong> ulcer-inducers such as<br />

stress, aspirin, ethanol and histamine, thus<br />

validating the traditional use of the plant for gastric<br />

ulcers. Other in vivo investigations confirmed that<br />

the leaf extract can reduce fever, provides antiinflammatory,<br />

pain-relieving and muscle-relaxant


16346 Afr. J. Biotechnol.<br />

effects. Its anti-inflammatory effects have been partially<br />

attributed to the immunomodulatory and immune<br />

suppressant effects. Animal studies have shown that the<br />

leaf extract possesses sedative and central nervous<br />

system depressant action. These effects were attributed<br />

partially to the ability to increase the levels of a neuro<br />

transmitter, Gamma aminobutyric acid (GABA), in the<br />

brain (Taylor, 2010). Results obtained <strong>from</strong> animal<br />

studies indicate that the aqueous and methanol extracts<br />

of B. pinnatum leaf possess antihypertensive properties.<br />

This lends credence to the folkloric use of the herb in the<br />

management of hypertension by some Yoruba people of<br />

Western Nigeria (Ojewole, 2002).<br />

In this investigation, 100 mg/ml was the most effective<br />

against the susceptible bacteria used and the lower the<br />

concentration, the lower the effectiveness, to the extent<br />

that 6.25 mg/ml showed no activity against any microorganism.<br />

This is similar to the work of Nwadinigwe<br />

(2009), who reported that the 150 mg/ml concentration of<br />

the ethyl acetate fraction of Emilia sonchifolia was the<br />

most effective against the bacteria used. Also, the lower<br />

the concentration, the lower the effectiveness to the<br />

extent that 9.375 and 4.688 mg/ml showed no activity<br />

against any micro-organism. In this work, S. aureus<br />

showed the lowest MIC value, while S. typhi<br />

demonstrated the highest MIC. This is somehow similar<br />

to the work of Nwadinigwe (2009) who reported that B.<br />

subtilis exhibited the lowest MIC value, while S. typhi<br />

showed the highest MIC for the ethyl acetate fraction of<br />

E. sonchifolia.<br />

In conclusion, B. pinnatum stem has the potential to be<br />

used as an antimicrobial agent, just like the leaves.<br />

However, further laboratory and clinical studies are<br />

required to determine its potency and safety.<br />

REFERENCES<br />

Akinpelu DA (2000). Antimicrobial activity of Bryophyllum pinnatum<br />

leaves. Fitoterapia 71:193-194.<br />

Akinsulire OR, Aibin IE, Adenipekun T, Adelowotan T, Odugbemi T<br />

(2007). In vitro antimicrobial activity of crude extracts <strong>from</strong> plants,<br />

Bryophyllum pinnatum and Kalanchoe crenata. Afr. J. Trad. Compl.<br />

Alt. Med. 4:338-344.<br />

Alade PI, Irobi ON (1993). Antimicrobial activities of crude leaf extracts<br />

of Acalypha wilkesiana. J. Ethnopharmacol. 39:171-174.<br />

Anonymous (2005). Checklist of medicinal plants of Nigeria and their<br />

uses. Jamoe pub. in Assoc. with Trinity-Biz pub., Nigeria.<br />

Aquil F, Ahmad I (2003). Broad-spectrum antibacterial and antifungal<br />

properties of certain traditionally used <strong>India</strong>n medicinal plants. World<br />

J. Microbiol. Biotechnol. 19:653-657.<br />

Edafiogho DOC (2006). Computer graphics, spreadsheet (Excel) and<br />

SPSS. University of Nigeria Press Ltd., Nigeria.<br />

Harborne JB (1973). Phytochemical methods. Chapman and Hall,<br />

London.<br />

Hutchinson J, Dalziel JM (1954). Flora of West Tropical Africa. The<br />

Crown Agent for Colonies, Westminister, London.<br />

Igwe SA, Akunyili DN (2005). Analgesic effects of aqueous extracts of<br />

the leaves of Bryophyllum pinnatum. Pharm. Biol. 43:658-661.<br />

Kamboj A, Saluja A (2010). Microscopical and preliminary<br />

phytochemical studies on aerial parts (leaves and stem) of<br />

Bryophyllum pinnatum Kurz. Pharmacol. J. 2: 254-259.<br />

Lans CA (2006). Ethnomedicines used in Trinidad and Tobago for<br />

urinary problems and Diabetes mellitus. J. Ethnobiol. Ethnomed. 2:45<br />

DOI 10. 1186/1746-4269-2-45.<br />

Marriage PB, Wilson DG (1971). Analysis of the organic acids of<br />

Bryophyllum calycinum. Can. J. Biochem. 49:282-295.<br />

Mckenzie RA, Dunster PJ (1986). Hearts and flowers: Bryophyllum<br />

poisoning of cattle. Aust. Vet. J. 63:222-227.<br />

Mckenzie RA, Franke FP, Dunster PJ (1987). The toxicity to cattle and<br />

bufadienolide content of six Bryophyllum species. Aust. Vet. J.<br />

64:298-301.<br />

Mudi SY, Ibrahim H (2008). Activity of Bryophyllum pinnatum Kurz<br />

extracts on respiratory tract pathogenic bacteria. Bayero J. Pure and<br />

Appl. Sci. 1:43-48.<br />

Nwadinigwe AO (2009). Antimicrobial activities of some fractions of the<br />

extract of Emilia sonchifolia (Linn.) DC (Asteraceae). Plant Prod. Res.<br />

J. 13:31-34.<br />

Ofokansi KC, Esimone CO, Anele CK (2005). Evaluation of the in-vitro<br />

combined antibacterial effects of the leaf extracts of Bryophyllum<br />

pinnatum (Fam.Crassulaceae) and Ocimum gratissimum (Fam.<br />

Labiatae). Plant Prod. Res. J. 9:23-27.<br />

Ojewole JAO (2002). Antihypertensive properties of Bryophyllum<br />

pinnatum (Lam) Oken leaf extracts. Am. J. Hypert.15 (4): A34-A39.<br />

Ojewole JAO (2005). Antinociceptive, anti-inflammatory and antidiabetic<br />

effects of Bryophyllum pinnatum (Crassulaceae) leaf aqueous<br />

extract. J. Ethnopharmacol. 99: 13-19.<br />

Okwu DE (2003). The potentials of Ocimum gratissimum, Pengularia<br />

extensa and Tetrapleura tetraptera as spice and flavouring agents.<br />

Nig. Agric. J. 34: 143-148.<br />

Okwu DE, Josiah C (2006). Evaluation of the chemical composition of<br />

two Nigerian medicinal plants. Afr. J. Biotechnol. 5:357-361.<br />

Pelczar MJ, Chan ECS, Krieg NR (1993). Microbiology: concepts and<br />

applications. McGraw Hill Inc., New York.<br />

Salahdeen HM, Yemitan OK (2006). Neuropharmacological effects of<br />

aqueous leaf extract of Bryophyllum pinnatum in mice. Afr. J.<br />

Biomed. Res. 9: 101-107.<br />

Supratman U, Fujita T, Akiyama K, Hayashi H (2000). New insecticidal<br />

bufadienolide: bryophyllin C, <strong>from</strong> Kalanchoe pinnata. Biosci.<br />

Biotechnol. Biochem. 64:1310-1312.<br />

Taylor L (2010). The healing power of rainforest herbs. Rain Tree Nutr.<br />

Inc., Carson City, NV 89701.<br />

Trease GE, Evans WC (1983). Pharmacognosy. 12 th ed. Bailliere<br />

Tindal, London.<br />

Wikipedia, The free Encyclopedia (2009). Kalanchoe pinnata.<br />

http://en.wikipedia.org/wiki/kalanchoe.pinnata.<br />

Yamagishi T, Yan XZ, Wu RY, McPhail MC, Lee KH (1989). Antitumor<br />

agents, 110 bryophyllin B, a novel potent cytotoxic bufadienolide <strong>from</strong><br />

Bryophyllum pinnatum. J. Nat. Prod. 52: 1071-1079.<br />

Yemitan OK, Salahdeen HM (2005). Neurosedative and muscle<br />

relaxant activities of aqueous extract of Bryophyllum pinnatum.<br />

Fitoterapia 76: 187-193.


African Journal of Biotechnology Vol. 10(72), pp. 16347-16350, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2295<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Determining the relationship between the application of<br />

fixed appliances and periodontal conditions<br />

Ahmad Sheibaninia 1 *, Mohammad Ali Saghiri 2 , A. Showkatbakhsh 3 , C. Sunitha 4 , S. Sepasi 1 ,<br />

M. Mohamadi 5 and N. Esfahanizadeh 6<br />

1 Department of Orthodontic Fellow of Orthosurgery, Dental Branch, Islamic Azad University, Tehran, Iran.<br />

2 Department of Dental and Biological Materials, Kamal Asgar Research Center, MI, USA.<br />

3 Department of Orthodontic, Director of Orthosurgery Fellowship, Dental School, Shaheed Beheshti University of<br />

Medical Sciences, Tehran, Iran.<br />

4 Department of Conservative Dentistry and Endodontics, Saveetha Dental College Hospitals, Saveetha University,<br />

Chennai, <strong>India</strong>.<br />

5 Private Practice, Tehran, Iran.<br />

6 Department of periodontics, Dental Branch, Islamic Azad university, Tehran, Iran.<br />

Accepted 7 October, 2011<br />

The aim of this work was to study the relationship between the use of fixed appliances and periodontal<br />

conditions during orthodontic treatment. A Historical Cohort study design was used. The treatment<br />

group consisted of 30 patients undergoing fixed orthodontic treatment and 30 patients were used as<br />

controls. Both patient groups had no background of trauma resulting <strong>from</strong> bracket which might affect<br />

the gingival status and the control group had no history of previous orthodontic treatment. Periodontal<br />

condition of both groups was evaluated and assessed with bleeding index and periodontal hyperplasia.<br />

Exact Fisher test was used for statistical analysis. The mean age for the treatment group and the<br />

control group was 15.1±1.5 years and 14.7 ± 2.4 years, respectively. Gingival bleeding was 50 and<br />

76.7%, while gingival recession was 3.3 and 0% in control and treatment groups (P


16348 Afr. J. Biotechnol.<br />

Table 1. Distribution of studied groups according to age and periodontal symptoms <strong>using</strong> fixed orthodontic appliances.<br />

Group Mean age<br />

Gingival bleeding<br />

No Yes<br />

Gingival recession<br />

No Yes<br />

Gingival hyperplasia<br />

No Yes<br />

Control (N1 = 30) 15.14 ± 1.46 15 (50%) 15 (50%) 29 (96.7%) 1 (3.3%) 26 (86.6%) 4 (13.3%)<br />

Cases (N2 = 30) 14.73 ± 2.39 7 (23.3%) 23 (76.7%) 30 (100%) 0 16 (53.3%) 14 (46.6%)<br />

Test result P


control group. The amount of attributable risk of gingival<br />

enlargement (grade 2 and more) in the study group was<br />

33.3% as compared to the control group.<br />

DISCUSSION<br />

According to the results of the experimental group, 23<br />

persons (76.6%) complained of gingival bleeding, 16<br />

persons (53.3%) showed grade 1 gingival hyperplasia<br />

and less, and 14 persons (46.6%) showed grade 2<br />

gingival hyperplasia and more, and gingival recession<br />

was not observed in any of the experimental groups.<br />

There is a significant relationship between gingival<br />

bleeding (p


16350 Afr. J. Biotechnol.<br />

causes and prevent possible progress of the<br />

periodontal problem.<br />

ACKNOWLEDGEMENT<br />

We thank Dr Prasanna Neelakantan for invaluable help in<br />

many sections of this manuscript.<br />

REFERENCES<br />

Caranza FA, Newman MG, Glickman's I (1996). Clinical<br />

Periodontology.8th ed. Philadelphia, W. B SandersCo. ch 1,4: pp. 12-<br />

26, 218-232.<br />

Dieedrich P, Rudzki-Janson I, Wehrbein H, Fritz U (2001). Effects of<br />

orthodontic bands on marginal periodontal tissues. A histologic study<br />

on two human specimens. J. Orofac. Orthop. 2: 146-56.<br />

Gursoy UK, Sokucu O, Uitto VJ, Aydin A, Demirer S(2007).The role of<br />

nickel accumulation and epithelial cell proliferation in orthodontic<br />

treatment-induced gingival overgrowth. Eur. Orthod. 6: 555-558.<br />

Janson GR, Dainesi EA, Consolaro A, Woodside DG, de Freitas MR<br />

(1998). Nickel hypersensitivity reaction before,during,and after<br />

orthodontic therapy. Am. J. Orthod Dentofacial Orthop. 6: 655-660.<br />

Jenkings GN (1971). Plaque formation and metabolism. In: Eastoe Je,<br />

Diction DGA, Alexander AG, eds. The prevention of periodontal<br />

disease.London: Kimpton, pp. 34-45.<br />

Kloehn JS, Pfeier JS (1974). Effect of orthodontic treatment on<br />

periodontium. Angle Orthod. pp. 127-134.<br />

Lau PYW, Wong RWK (2006). Risks and complications in orthodontic<br />

treatment. Hong Kong Dental. J. 3: 15-22.<br />

Mercado F, Marshall R (2001). Relationship between R.A and<br />

periodontitis. J. Periodontol. 12: 779-787.<br />

Nagwa Helmy El-Mangoury, Soheir Gaafar M, Yehya Mostafa A (1987).<br />

Mandibular anteriorcrowding and periodontal disease. Angle Orthod.<br />

Jan: 33-38.<br />

Ristic M, Svabic MV, Sasic M, Zelic O (2007). Clinical and<br />

microbiological effects of fixed orthodontic appliance on periodontal<br />

tissues in adolescents. Orthod. Craniofacial Res. 4: 187-195.<br />

Shaw WC, O Brien KD, Richmond S, Brook P (1991). Quality control in<br />

orthodontics: risk/benefit conciderations. Br. Dent. G.170: 33-37.<br />

Theilade E, Theilade J (1976). Role of plaque in the etiology of<br />

periodontal disease and caries. Oral Sci. Rev. 9: 23-63.<br />

Travess H, Roberts Harry D, Sandy J(2004). Orthodontics .Part 6. Risks<br />

in orthodontic treatment. Br. Dent. J. 196: 71-77.<br />

Tuncer AV, Baylas H (1990). Examination of the effects of various<br />

orthodontic appliances on periodontal tissues. Turk. Ortodontic.<br />

Derg.3:13-8.<br />

Turkkahraman H, Sayin MO, Bozkurt FY, Yetkin Z, Kaya S, Onal S<br />

(2005). Arch wire ligation techniques, microbial colonization and<br />

periodontal status in orthodontically treated patients. Angle<br />

Orthod.2:231-6.<br />

Zachrisson S, Zachrisson BU (1972). Gingival condition associated with<br />

orthodontic treatment. Angle Orthod. 42: 26-34.


African Journal of Biotechnology Vol. 10(72), pp. 16351-16360, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1709<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Use of pheromone-baited traps for monitoring Ips<br />

sexdentatus (Boerner) (Coleoptera: Curculionidae) in<br />

oriental spruce stands<br />

Gonca Ece Ozcan 1 , Mahmut Eroglu 1 and Hazan Alkan Akinci 2<br />

1 Department of Forest Engineering, Faculty of Forestry, Karadeniz Technical University, Trabzon 61080, Turkey.<br />

2 Department of Forest Engineering, Faculty of Forestry, Artvin Coruh University, 08000 Artvin, Turkey.<br />

Accepted 7 October, 2011<br />

The population level and flight periods of Ips sexdentatus (Boerner) (Coleoptera: Curculionidae) was<br />

determined according to certain stand dynamics, altitude steps and temperatures based on the capture<br />

amounts in pheromone traps hung on some spruce stands in the oriental spruce, Picea orientalis (L.)<br />

Link. Forests of Turkey in 2006 to 2009. Average number of I. sexdentatus was statistically different<br />

between years and average annual highest number of captured beetles showed differences according<br />

to regions. The averages of the numbers of beetles caught in two different altitudes in two separate<br />

years are statistically different. In higher altitudes, average number of beetles caught per trap was<br />

higher. Provided data showed that I. sexdentatus has at least 2 generations in the forests of the region.<br />

First adult flight ranged <strong>from</strong> end of April to mid-June in both altitude steps, while second flight started<br />

in mid-June and continued until the mid-September. It was concluded that the beetles that were caught<br />

during fourth week of August and first week of September were the adults that would start a third<br />

generation. The predator species Thanasimus formicarius (L.) (Coleoptera: Cleridae) was caught in the<br />

pheromone traps as well as I. sexdentatus. In each trap, an average of 43.92 I. sexdentatus adults was<br />

captured per 1 T. formicarius adult. A total of 18 I. typographus (L.) (Coleoptera: Curculionidae) adults<br />

were captured by 5 traps containing Tryphreon Ipstyp aggregation pheromones. The trapping works in<br />

the research region have once again detected the existence of this species, which has densities that<br />

cannot be detected by other methods, and which is very dangerous for spruce stands since the first<br />

detection 75 years ago.<br />

Key words: Ips sexdentatus, pheromone baited traps, monitoring.<br />

INTRODUCTION<br />

Humans and insect pests are the most important biotic<br />

factors threatening oriental spruce forest wealth in the<br />

Eastern Black Sea region of Turkey (Ozcan and Alkan,<br />

2003). In sensitive nature of the region, spruce forests<br />

have an uppermost function expected <strong>from</strong> forests in<br />

water supplying, soil protection and preventing natural<br />

destructions (Eroglu et al., 2005). Regional forests are<br />

under serious pressure of people that live in mountain<br />

villages. This pressure makes forests extremely exposed<br />

against the attacks of some bark beetles (Benz, 1984).<br />

*Corresponding author. E-mail: goncaece@hotmail.com. Tel:<br />

+90 312 785 27 12. Fax: +90 462 325 74 99.<br />

Scolytid bark beetles (Coleoptera: Curculionidae) are<br />

important forest pests all over the world (Bakke, 1989).<br />

Most bark beetle species infest recently dead trees<br />

(Wood, 1982); some bark beetle species are known to<br />

attack and kill living trees, ca<strong>using</strong> large economic losses<br />

(Berryman and Ferrell, 1988; Turchin et al., 1991; Reeve,<br />

1997). Natural distribution of oriental spruce, Picea<br />

orientalis (L.) Link., in Turkey (approximately 300<br />

thousand ha), in Eastern Black Sea region is generally at<br />

the seaside slopes of Black Sea mountain chains<br />

between the altitudes of 500 to 2400 m. Optimal<br />

distribution is over 1200 m (Saatcioglu, 1976; Demirci,<br />

1991). Oriental spruce stands are under serious threats<br />

of Dendroctonus micans (Kugelann), a very important<br />

pest directly attacking healthy trees; and Ips sexdentatus


16352 Afr. J. Biotechnol.<br />

(Boerner) and Ips typographus (L.) (Coleoptera:<br />

Curculionidae), both of which can easily have a primary<br />

position and cause a great outbreak. The attacks of D.<br />

micans in the oriental spruce forests of Turkey first<br />

started in 1966 (Acatay, 1968) and extended to the entire<br />

spruce stands in early 2000s (Eroglu et al., 2005). I.<br />

typographus outbreaks that were first discovered in 1984<br />

(Alkan, 1985) have caused major forest losses until 2007<br />

(Gokturk and Eldemir, 2005; Alkan-Akinci et al., 2009). I.<br />

sexdentatus is one of the most important pests of the<br />

forests of Turkey (Oymen, 1992). It has caused death of<br />

Pinus sylvestris L. and P. radiate D. Don. suffering <strong>from</strong><br />

drought stress in central and Southern France, Northern<br />

Spain and Portugal (Goix, 1977; Perrot, 1977; Lieutier et<br />

al., 1988; Paiva et al., 1988). Outbreaks have occurred<br />

on P. orientalis and P. sylvestris in Turkey (Schimitschek,<br />

1939; Canakcıoglu, 1983; Schönherr et al., 1983; Oymen<br />

and Selmi, 1997). The existence of this beetle in Turkish<br />

pine and spruce forests has a very long past and<br />

recently, especially the great outbreaks in spruce forests<br />

have been recorded as the most outstanding disasters in<br />

the country (Bernhard, 1935; Schimitschek, 1953). This<br />

beetle has spread to a very wide area; <strong>from</strong> Japan to<br />

Southern Europe and Trans-Caucasia, <strong>from</strong> the Atlantic<br />

to the Pacific. This beetle prefers dead, dying, or<br />

weakened trees as its breeding material and is referred to<br />

as secondary insects, although it can become primary<br />

pest under outbreak conditions. The wood under the<br />

gallery is stained blue <strong>from</strong> fungi transferred by the<br />

beetles (Chararas, 1962). As in the case of other conifer<br />

bark beetles, I. sexdentatus acts as a vector for a blue<br />

stain fungus which also damages the tree (Lieutier et al.,<br />

1989). This way, hundred hectares of forests can be<br />

easily destroyed (Schimitschek, 1953; Keskinalemdar<br />

and Ozder, 1995; Oymen and Selmi, 1997; Selmi, 1998,<br />

Yuksel and Tozlu, 2000). It prefers trees with thick bark.<br />

Moreover, it is observed to attack begining <strong>from</strong> the top<br />

sections of the trees (Canakcioglu, 1983). This beetle<br />

kills the trees in spruce forests in masses and thus,<br />

causes interruption of canopy in stand canopy closure<br />

and serious structural deteriorations within the stand<br />

(Ozcan, 2009).<br />

The development of mass deaths which appeared<br />

suddenly actually was completed in a long process<br />

(Yuksel, 1998). In Turkey, at Trabzon Yanbolu Valley -<br />

Santa and Degirmendere Valley - Meryemana spruce<br />

forests, 250,000 m 3 tree loss caused by I. sexdentatus in<br />

1928 (Bernhard, 1935) and had reached approximately<br />

one million m 3 in 1930s (Schimitschek, 1953). It was<br />

recorded that the total damage of the beetle in 1930 to<br />

1994 was over 1.500.000 m 3 (Keskinalemdar and Ozder,<br />

1995). I. sexdentatus is a native species of oriental<br />

spruce forests and until very recently when D. micans<br />

reached these forests and I. typographus developed an<br />

outbreak, it was the only threatening bark beetle of these<br />

forests. Great scale destructions of oriental spruce<br />

forests which were especially recorded in the last century<br />

and which were told by the public previously requires<br />

regular monitoring of population changes and densities of<br />

I. sexdentatus. The primary purpose of sampling the<br />

populations in these types of monitoring programs is to<br />

classify the population in terms of being under or over a<br />

critical threshold (Wainhouse, 2005). The validity of <strong>using</strong><br />

pheromones has been proven for monitoring pests<br />

(Shorey, 1991). Lindgren funnel traps baited with aggregation<br />

pheromones are widely used to monitor and<br />

manage populations of economically important bark<br />

beetles (Hayes et al., 2008). Funnel traps are especially<br />

useful for monitoring the adult stages of beetles if proper<br />

attractors are available in the market. Although, they<br />

have the disadvantage of catching the natural enemies<br />

that react to the pheromone, funnel traps mainly provide<br />

“clean” sampling since they are species-specific<br />

(Wainhouse, 2005). Hagler (2000) expresses the<br />

compatibility of the use of pest-specific pheromones to<br />

biological control as stated by Shorey (1991). As with the<br />

other parabiologicals, pheromones are designed to be<br />

used as one of several components of an overall IPM<br />

program (Hagler, 2000). For example, the use of scolytid<br />

aggregation pheromones in traps for mass-trapping to<br />

reduce the density of local populations in the forest.<br />

Research on the role of semiochemicals in the ecology<br />

and behavior of insect pests has provided novel and<br />

potentially very powerful techniques for the management<br />

of insect populations (Wainhouse, 2005). I. sexdentatus<br />

is a bark beetle for which aggregation pheromones are<br />

important in determining the beetle colonization process<br />

(Bouhot et al., 1988). The male beetle initiates the boring<br />

and releases an aggregation pheromone consisting<br />

mainly of ipsdienol (Vité et al., 1974). Traps can be used<br />

in a large scale (Minks, 1977) for monitoring the beetle<br />

population (Lindelow and Schroeder, 2001; Wermelinger,<br />

2004). Moreover, monitoring based on pheromone traps<br />

can provide information on beetle population density and<br />

flight periods, based on yearly changing captured beetle<br />

number (Faccoli and Stergulc, 2006). In Turkey, first<br />

capturing trials against I. sexdentatus with pheromone<br />

traps started in 1982 in oriental spruce forests; the control<br />

measures against this beetle has continued through<br />

mechanical methods, variously designed funnel traps and<br />

biological agents (Serez and Eroglu, 1991; Serez, 2001).<br />

A total of 6290 pheromone traps were hung in Artvin<br />

forests between 2004 to 2009 in 4050 hectare area and<br />

11,482,000 adults were captured (Ozkaya et al., 2010).<br />

In this study that was based on the capture amounts in<br />

pheromone traps, the population levels, flight periods,<br />

flight durations and the time intervals of most catches of I.<br />

sexdentatus were determined according to certain stand<br />

dynamics, altitude steps and temperatures. With these<br />

evaluations, it was aimed to research the opportunities of<br />

more efficient utilizations of pheromone traps, in order to<br />

provide better monitoring of pest population levels and<br />

develop a more comprehensive and economic management<br />

strategy against the pest.


Table 1. Ips sexdentatus amounts captured in Macka Directorate of Forest Enterprises in 2006 to 2009 by funnel traps.<br />

Ozcan et al. 16353<br />

Region Year Number of traps Total number of beetles caught in traps Average number of beetle per trap<br />

2006 40 11608 290.20<br />

Yesiltepe 2007 65 33390 513.69<br />

2008 80 19469 243.36<br />

2009 45 28362 630.27<br />

Macka<br />

Catak<br />

Esiroglu<br />

Hamsikoy<br />

MATERIALS AND METHODS<br />

2006 35 5165 147.57<br />

2007 35 5890 168.29<br />

2008 40 18786 469.65<br />

2009 40 8354 208.85<br />

2006 50 8369 167.38<br />

2007 40 4221 105.53<br />

2008 40 6049 151.23<br />

2009 40 4415 110.38<br />

2006 30 770 25.67<br />

2007 35 3297 94.20<br />

2008 35 21500 614.29<br />

2009 35 31770 907.71<br />

2006 30 5079 169.30<br />

2007 41 11882 289.80<br />

2008 35 12905 368.71<br />

2009 35 7810 223.14<br />

This study was performed in Eastern Black Sea Region of Turkey,<br />

at the oriental spruce, Picea orientalis (L.) Link. stands with a<br />

natural dispersion area of 297,397 ha. The materials of this study<br />

are 1652 Triphreon Ipssex and 96 Triphreon Ipstyp commercially<br />

branded pheromone preparations, 826 pheromone traps containing<br />

these preparations, hung in spruce stands at Trabzon Regional<br />

Directorate of Forestry, Macka Directorate of Forest Enterprises,<br />

Yesiltepe, Macka, Catak, Esiroglu and Hamsikoy. The dominant<br />

tree species is oriental spruce. There are Scotch pine, beech,<br />

hornbeam, oak and chestnut in mixed stands in the study area and<br />

in the vicinity. Divisions of Forestry between the years 2006 to<br />

2009, and a total of 249,091 I. sexdentatus, 18 I. typographus<br />

adults caught in these traps, and 207 Thanasimus formicarius<br />

adults only caught in 40 traps in 2006.<br />

For monitoring I. sexdentatus flight periods, 75 traps containing<br />

Triphreon Ipssex branded pheromone preparations were used in<br />

2006, and 125 of these were used in 2009. For this purpose, the<br />

pheromone traps were placed in certain forest areas in 2006 at<br />

Yesiltepe and Macka regions, in 2009 at Yesiltepe, Macka and<br />

Catak regions, with 100 to 120 m intervals to provide a<br />

homogeneous dispersion. Pheromone traps were hung 15 to 20 m<br />

to the edge of the stand, inside the openings in the forest and<br />

roadsides during mid-April in both years. They were placed<br />

between two poles and 1.5 m higher over the ground. The traps<br />

were fixed by ropes to the wooden poles both <strong>from</strong> top and bottom.<br />

The traps were numbered with special cards attached. The altitudes<br />

and exposures of the points, where the traps were hung were<br />

recorded and first pheromone preparations were placed in the<br />

traps. First preparations were replaced in mid-June and the traps<br />

were kept in the forest until mid-September. The traps were<br />

regularly controlled after being placed in the forest; captured<br />

beetles were counted and recorded. Additionally, in 2006 a total of<br />

18 traps and in 2009 a total of 30 traps containing Triphreon Ipstyp<br />

commercially branded pheromone preparations were used. T.<br />

formicarius adults caught in the 31 traps between 3 May and 24<br />

August 2006 at Yesiltepe region, and I. sexdentatus adults caught<br />

during the same period have been assessed together.<br />

Statistical analysis<br />

All statistical analyses were performed <strong>using</strong> SPSS 13.0 for<br />

Windows ® software. Logarithmic transformation was applied to the<br />

I. sexdentatus amounts gathered <strong>from</strong> capture results that did not<br />

show normal dispersions. Independent sample T-test and one way<br />

ANOVA were used depending on the variables.<br />

RESULTS<br />

I. sexdentatus amounts captured by a total of 826 funnel<br />

traps in the spruce stands of Macka Directorate of Forest<br />

Enterprises and Yesiltepe, Macka, Catak, Esiroglu and<br />

Hamsikoy forestry divisions in 2006, 2007, 2008 and<br />

2009 are given in Table 1. Without taking the years into<br />

account, the average number of beetles per trap has


16354 Afr. J. Biotechnol.<br />

Table 2. Number of beetles captured at two altitude ranges in 2006 and 2009 at Yesiltepe, Macka and Catak Regions.<br />

Year<br />

Number<br />

of traps<br />

2006 75<br />

2009 125<br />

Average number of<br />

beetles per traps<br />

223,76<br />

329,05<br />

Altitude range<br />

close values in Macka, Catak and Hamsikoy regions,<br />

while it was higher in Yesiltepe and Esiroglu regions.<br />

Average number of beetles per trap was higher in<br />

Yesiltepe in 2007 and 2009, higher in Macka in 2008,<br />

higher in Esiroglu in 2008 and 2009; while Catak and<br />

Hamsikoy had the same rates of captures in all years<br />

(Table 1).<br />

In Yesiltepe and Macka regions, 61.48% of all beetles<br />

captured by the traps in 2006 were received <strong>from</strong> 10<br />

traps. In these traps, average number of beetles per trap<br />

was 1031.2 (436 to 2580), while it was 99.4 in the<br />

remaining traps. In Yesiltepe, Macka and Catak regions<br />

59.93% of all beetles captured by the traps in 2009 were<br />

received <strong>from</strong> 12 traps. In these traps, average number of<br />

beetles per trap was 2054.33 (920 to 4761) while it was<br />

145.83 in the remaining traps. The higher captures at<br />

these two divisions in 2006 and 2009 happened in<br />

different compartments. Average highest number of<br />

beetles per year has also differed according to divisions<br />

(Table 1). In 2009, at a compartment in Yesiltepe region<br />

where traps 46, 47 and 48 were located between<br />

altitudes of 1200 to 1250 m and an average of 1941.33<br />

beetles were captured per trap; 18 to 20 spruces, with<br />

diameters of 30 to 60 cm, were killed in groups due to<br />

very severe attacks by I. sexdentatus in 2010.<br />

More also, in Yesiltepe and Macka regions in 2006,<br />

25.24% of all captured beetles were received <strong>from</strong> 48<br />

traps between 800 to 1200 m and 74.76% were received<br />

<strong>from</strong> 27 traps at altitudes of 1200 m and higher. At these<br />

altitudes, average numbers of beetles per trap were<br />

88.21 and 464.41, respectively (Table 2). In Yesiltepe,<br />

Macka and Catak Regions in 2009, 46.55% of all<br />

captured beetles were taken <strong>from</strong> 77 traps between 800<br />

to 1200 m, and 53.45% were taken <strong>from</strong> 48 traps at<br />

altitudes of 1200 m and higher. The average numbers of<br />

beetles per trap were 248.64 and 458.04, respectively<br />

(Table 2). Average number of beetles captured both<br />

years in these two altitude ranges have been statistically<br />

different (p0.05). In addition, in<br />

stands with various closures at Yesiltepe and Macka<br />

Number<br />

of traps<br />

Total number of<br />

beetles caught in traps<br />

Percentage of<br />

caught beetles (%)<br />

800 – 1200 m 48 4243 25.24<br />

1200 m and higher 27 12539 74.76<br />

800 – 1200 m 77 19145 46.55<br />

1200 m and higher 48 21986 53.45<br />

regions in 2006 and 2009, the average number of beetles<br />

captured by traps were statistically not different <strong>from</strong><br />

each other (p>0.05). At the research areas, average<br />

number of beetles trapped in stands at different exposures<br />

both years, statistically were not different <strong>from</strong> each<br />

other (p>0.05). However, average number of captures of<br />

the traps with southern exposures (average 384.75) was<br />

higher than the traps with other exposures (average<br />

159.83).<br />

The distribution of the number of beetles, trapped<br />

between 800 to 1200 m and higher than 1200 m in 2006<br />

and 2009 at Yesiltepe, Macka and Catak regions, are<br />

shown in Figures 1 and 2 according to control dates.<br />

These data provided showed that I. sexdentatus has at<br />

least 2 generations in the forests of the region. At<br />

Yesiltepe and Macka regions, on May 3, when the first<br />

control of the traps at the spruce stands were made in<br />

2006 between 800 to 1200 m and higher than 1200 m;<br />

respectively, an average of 2.85 and 0.92 adult beetles<br />

were captured per trap. In 2006, it was observed that first<br />

flight of I. sexdentatus began before 3 May at both<br />

altitude steps. It was detected that the over-wintering<br />

adults mated and their attacks to the host trees began<br />

before May to lay the first eggs that would start the first<br />

generation of this year and that it lasted until the third<br />

week of June at both altitudes in this flight period. It was<br />

also observed that the adults that would start the second<br />

generation began to fly at the third week of June.<br />

Accordingly, the completion of the first generation that<br />

started in early May lasted for 50 to 55 days. On the 24th<br />

of August, when the last control of the traps at both<br />

altitudes were performed, respectively an average of 0.6<br />

and 2.18 captured adults per trap shows that the adult<br />

flights of the beetle in this year continued at least until<br />

end of August (Figure 1).<br />

At Yesiltepe, Macka and Catak regions, on 26 April<br />

2009, when the first control of the traps were performed<br />

at altitudes of 800 to 1200 m and higher than 1200 m,<br />

respectively an average of 0.22 and 0.13 beetles were<br />

captured per trap. This shows that in 2009, at both<br />

altitude steps, first flight of I. sexdentatus started before<br />

26 April. It was detected that the over-wintering adults<br />

mated and their attacks to the host trees began at the last<br />

week of April to lay the first eggs that would start the first<br />

generation in 2009 and that it lasted until the third week<br />

of June at both altitudes in this flight period, just like the


Average number of beetles per trap<br />

140<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

01.05.2006<br />

11.05.2006<br />

21.05.2006<br />

31.05.2006<br />

10.06.2006<br />

20.06.2006<br />

30.06.2006<br />

Control dates of traps<br />

10.07.2006<br />

800-1200m 800 – 1200 m<br />

1200m 1200 m and higher<br />

20.07.2006<br />

30.07.2006<br />

09.08.2006<br />

Ozcan et al. 16355<br />

Figure 1. Number of Ips sexdentatus caught in traps on the control dates at two different altitudes in 2006 at Yesiltepe<br />

and Macka Regions.<br />

previous year.<br />

Furthermore, it was observed that the adults that would<br />

start the second generation of the beetle began to fly in<br />

third week of June. Accordingly, in this year the<br />

completion of the first generation that started in last week<br />

of April continued approximately for 55 to 60 days. On the<br />

4th of September when the last control of the traps at<br />

both altitudes were performed respectively, an average of<br />

2.84 and 3.38 captured adults per trap shows that the<br />

adult flights of the beetle in this year continued at least<br />

until the second week of September (Figure 2). In the<br />

research region, it was seen that the first adult flight<br />

observed in early May and end-April in 2006 and 2009,<br />

reached its highest number after approximately 20 days<br />

after the first flight at both altitude steps and that this high<br />

flight activity continued for approximately 20 days. In<br />

2006, 69.51 and 84.76% of all beetles trapped in the first<br />

and second altitude steps respectively, were captured in<br />

the first flight period; these numbers were 78.37 and<br />

71.27% in 2009 (Figures 1 and 2). In 2006, average<br />

number of beetles caught per trap in the first and second<br />

flight periods was respectively 12.26 and 4.48 at first<br />

altitude step, and respectively 78.72 and 11.79 at the<br />

second altitude step. In 2009, these amounts were<br />

respectively 39.15 and 18.01 at the first altitude step and<br />

respectively 72.78 and 44.79 at the second altitude step.<br />

The predator species T. formicarius was also caught by<br />

the pheromone traps together with I. sexdentatus. During<br />

the control of the traps, the predators, almost all being<br />

alive, were released. Number of I. sexdentatus and T.<br />

formicarius captured in 40 traps in Yesiltepe region<br />

between 3 May and 24 August 2006 are given in Table 3.<br />

All lively 207 T. formicarius adults were taken <strong>from</strong> 31 of<br />

40 traps (77.5%). In each of the eleven different control<br />

dates, an average of 9.36 (1 to 19) T. formicarius was<br />

found in these 31 traps. During the whole trapping<br />

season, these 31 traps averaged 293.42 I. sexdentatus<br />

and 6.68 T. formicarius adults. Each trap averaged 1 T.<br />

formicarius adult against 43.92 I. sexdentatus adults.<br />

Additionally, in 8 different controls; 1 to 6 T. formicarius<br />

adults were found in traps where no I. sexdentatus were<br />

found. Additionally, in 2006, only I. typographus adults<br />

were captured in traps containing I. typographus aggregation<br />

pheromones, <strong>using</strong> 5 Tryphreon Ipstyp commercially<br />

branded pheromone preparations. In these traps,<br />

on controls dated 3rd May, 26th May and 13th June; 2,<br />

11 and 5 I. typographus adults were found. In 2009, 13<br />

traps with the same pheromone preparations were hung<br />

but no I. typographus could be captured.<br />

DISCUSSION<br />

In Yesiltepe, Macka and Catak regions, the average<br />

number of I. sexdentatus trapped in two different years<br />

were found to be statistically different and the average<br />

number of beetles trapped in 2009 was 46.9% more than<br />

that of 2006. In 2006 and 2009, 61.48 and 59.93% of the<br />

total captured beetles were respectively taken <strong>from</strong> 10<br />

and 12 traps. In these traps, the average number of<br />

19.08.2006<br />

29.08.2006


16356 Afr. J. Biotechnol.<br />

Average number of beetles per trap<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

15.04.2009<br />

25.04.2009<br />

05.05.2009<br />

15.05.2009<br />

25.05.2009<br />

04.06.2009<br />

14.06.2009<br />

24.06.2009<br />

Control dates of traps<br />

04.07.2009<br />

14.07.2009<br />

24.07.2009<br />

03.08.2009<br />

800-1200m<br />

800 – 1200 m<br />

1200 1200m m and higher<br />

Figure 2. Number of Ips sexdentatus caught in traps on the control dates at two different altitudes in 2009 at<br />

Yesiltepe, Macka and Catak regions.<br />

Table 3. Numbers of Ips sexdentatus and Thanasimus formicarius, counted in the traps according to control dates.<br />

Trap control<br />

dates<br />

Number of traps with<br />

captured Thanasimus<br />

formicarius<br />

Number of Ips<br />

sexdentatus caught<br />

in traps<br />

Number of Thanasimus<br />

formicarius caught in<br />

traps<br />

13.08.2009<br />

23.08.2009<br />

02.09.2009<br />

Average number of<br />

predator per capture<br />

03.05.2006 1 8 1 1<br />

15.05.2006 9 1579 26 2.89<br />

26.05.2006 15 2486 58 3.87<br />

06.06.2006 8 1707 10 1.25<br />

13.06.2006 19 1794 45 2.37<br />

26.06.2006 3 133 3 1<br />

08.07.2006 12 664 22 1.83<br />

20.07.2006 6 298 9 1.5<br />

02.08.2006 9 258 14 1.56<br />

15.08.2006 6 111 12 2<br />

24.08.2006 5 58 7 1.4<br />

Total 93 9096 207 1.88<br />

beetles per trap was 1031.2 and 2054.33, and 99.4 and<br />

145.83 in the remaining traps. The higher captures at<br />

Yesiltepe and Macka regions in 2006 and 2009 occurred<br />

in different compartments. The highest average number<br />

of beetles captured per year differed according to forestry<br />

divisions (Table 1). At a compartment in Yesiltepe region<br />

where an average of 1941.33 beetles were captured per<br />

trap in 2009, 18 to 20 spruces with 30 to 60 cm diameters<br />

were killed in groups due to very severe attacks by I.<br />

sexdentatus in 2010. Similarly, the increase of average<br />

25.67 and 94.20 captures per trap in Esiroglu region in<br />

2006 and 2007 to 614.29 and 907.71 in 2008 and 2009<br />

may be the precursor of a similar damage impact at this<br />

certain areas in this region. Depending on the beetle’s<br />

population density in the distribution range, the amount<br />

caught by the pheromone traps differ <strong>from</strong> year to year<br />

and <strong>from</strong> region to region.<br />

In Black Sea Region, population of I. sexdentatus is


fluctuated at high densities (Oymen, 1992). Capture<br />

capacities of traps are affected by many factors such as<br />

their being hung to locations where there are suitable<br />

trees for the reproduction of the beetle, the attacks being<br />

near the trees, stand density and wind direction<br />

(Safranyik et al., 2004). The number of the bark beetles<br />

captured in the pheromone traps depends on environmental<br />

and local conditions (Lobinger, 1995). Beetles can<br />

only find the source of the pheromone under average<br />

weather and climate conditions. Having a small number<br />

of flying beetles, or short flight period affects the<br />

capturing efficiency of the traps. Additionally, the position<br />

of the location of the pheromone trap also has a different<br />

effect on capturing efficiency. If traps are hung close to<br />

each other, both affect the other mutually. Traps must be<br />

at least 10 m to the closest tree otherwise some beetles<br />

could attack trees near the trap and damage them<br />

(Serez, 1987). It is estimated that I. sexdentatus are<br />

attracted to pheromone traps <strong>from</strong> a maximum of 80 m<br />

(Jactel, 1991). In an assessment with 38 adult<br />

individuals, 98% of I. sexdentatus adults have flown more<br />

than 5 km, 50% have flown more than 20 km, and 10%<br />

have flown more than 45 km (Jactel and Gaillard, 1991).<br />

Beetles have been found in the stomach of trout in lakes<br />

35 km <strong>from</strong> the nearest spruce forest (Nilssen, 1978).<br />

Dispersal over longer distances depends on transportation<br />

under the bark of logs. Stinking smell caused by<br />

rotten beetles can decrease the capturing efficiency of<br />

the traps (Kretschmer, 1990). Therefore, traps must be<br />

controlled with brief intervals and their being cleaned<br />

after each control, especially after rain and snow, is<br />

essential.<br />

In Yesiltepe, Macka and Catak regions during 2006 and<br />

2009, the average number of beetles trapped bet-ween<br />

800 to 1200 m and at 1200 m and higher altitudes were<br />

statistically different. Average beetle amount captured per<br />

trap at 1200 m was 5.26 times higher in 2006 and 1.84<br />

times higher in 2009, than those in traps at 800 to 1200<br />

m. At altitudes where spruce has optimum distribution,<br />

namely 1200 m and higher, higher amount of trapped<br />

beetles can be explained by having a higher beetle<br />

population. However, number of trapped beetle may<br />

change due to regional differences dependent on stand<br />

characteristics influencing density increase and outbreak<br />

development, ecologic factors such as water economy<br />

and relative humidity, and the features of growing<br />

environment based on bedrock and soil structures.<br />

Captured beetle data gathered <strong>from</strong> Yesiltepe, Macka<br />

and Catak regions in 2006 and 2009 at two different<br />

altitude steps reveal that I. sexdentatus has at least 2<br />

generations in the forests of these regions. This result is<br />

directly supported by other researches based on field<br />

findings. The species has only two generations in central<br />

areas of Eurasia and four to five generations in the<br />

Mediterranean area and in other areas with a long, warm<br />

summer season (Vité et al., 1974). It is known that in this<br />

region, first flight occurs during early April (Besceli and<br />

Ozcan et al. 16357<br />

Ekici, 1969; Serez, 1983) and mid-May and second flight<br />

occurs between mid-June and end-August (Besceli and<br />

Ekici, 1969). It is observed that I. sexdentatus usually<br />

completes 2 generations a year in oriental spruce forests<br />

and that the adults, who could only start the third<br />

generation in suitable weather conditions (Sekendiz,<br />

1991), mate at the end of August and early-September<br />

and lay eggs (Yuksel, 1998). The flight time of the first<br />

generation in the pine forests of the Mediterranean<br />

Region occurs in May, and the second generation’s flight<br />

occurs in August (Tosun, 1977). Under the conditions in<br />

Turkey, usually 2 generations a year is seen; however, a<br />

third generation can be seen under suitable climate<br />

conditions. (Sarıkaya, 2008)<br />

In 2006, at both altitude steps, I. sexdentatus’s first<br />

flight started before 3rd May and continued until the third<br />

week of June. The flight of the adults that would start the<br />

second generation started in the third week of June and<br />

continued until the end of August. In 2009, at both<br />

altitude steps, the first flight started before 26 April and<br />

continued until the third week of June. The second flight<br />

again started in third week of June and continued until<br />

the end of second week of September. It was seen in<br />

2006 and 2009 that there were no differences between<br />

the first adult flight dates at two altitude steps. Average<br />

temperatures of January, February, March and April in<br />

2006 and 2009 at 1000 m were 3.3 and 4.1°C. Average<br />

temperatures of these months at 1500 m were 0.8 and<br />

1.57°C. In both years, average temperatures of April,<br />

according to altitude steps, were respectively 6.3 and<br />

3.8°C, and 5.2 and 2.7°C. The spring flight starts when<br />

the temperature exceeds about 20°C; in the north- this is<br />

in May/June, in southern areas in March/April (Vité et al.,<br />

1974; Sarıkaya, 2008). In this case, it was understood<br />

that the highest temperatures reached in late-April and<br />

early-May and their durations have been effective on<br />

these flights, rather than the monthly average<br />

temperatures. Temperature has a role of a limiting factor<br />

on the daily amounts of trapped beetles and captured<br />

beetle amounts depend on the daily duration of a<br />

temperature over a threshold that allows the beetles’<br />

flight, and on the daily highest temperature (Bakke,<br />

1968).<br />

In the assessment made according to the results of<br />

these captures; the flight times of the adults who flew last<br />

in the first flight in very little numbers, and of the adults<br />

who flew first in the second flight cannot be distinguished<br />

and thus; the ending dates of the first flight and the<br />

starting dates of the second flight coincide. It was<br />

detected that the first flight of this beetle begins in March,<br />

April and May in the forests of the region depending on<br />

the altitude, and consequently they laid eggs in April, May<br />

and June (Yuksel, 1998). The second flight that began in<br />

the third week of June continued until the end of August<br />

in 2006 and until the second week of September in 2009.<br />

Laying period of the second generation continues <strong>from</strong><br />

June to first week of August depending on the altitude.


16358 Afr. J. Biotechnol.<br />

According to these results, it can be understood that the<br />

adults trapped in late August in 2006 and early<br />

September in 2009 are the adults who would start the<br />

third generation observed in late August and early<br />

September according to lower and higher altitude steps<br />

(Yuksel, 1998).<br />

In 2006 and 2009, the completion of the first generation,<br />

which started in early May and last week of April,<br />

has taken approximately 50 to 60 days. The completion<br />

of the second generation between last week of June and<br />

last week of August was approximately 60 to 65 days. It<br />

is reported that the period of development <strong>from</strong> I.<br />

sexdentatus eggs laid in the first generation to the<br />

emergence of young adults is 40 days (Bonnemasion,<br />

1962). However, it is also reported that this period can<br />

increase to 78 days in nature, due to larval development<br />

phases being affected by climate conditions (Chararas,<br />

1962). A total of 40 days period of a generation of this<br />

beetle (Ozder, 1978) was detected as 60 days in Artvin<br />

(Ataman, 1967). Brood development <strong>from</strong> the start of<br />

gallery construction until the emergence of the new<br />

generation adults may take 2 to 3 weeks at a constant<br />

laboratory temperature of 27°C and 3 to 4 weeks at 22°C.<br />

No gallery construction and brood production succeeds at<br />

a constant temperature of 12°C. Overwintering is in the<br />

adult stage. The super-cooling point in hibernating adults<br />

is about -19°C, whereas in larvae it is only -9°C (Bakke,<br />

1968). At both altitude steps, the numbers of beetles<br />

trapped in the first flight are higher than those in the<br />

second flight. Average capture rates per trap in 2006 and<br />

2009 are respectively 2.74 and 2.17 times higher in the<br />

first flight periods than the second flight periods at the<br />

first altitude steps and respectively 6.68 and 1.62 times<br />

higher in the second altitude steps. Highest catches in<br />

the first flight happened between 15th May and 13th<br />

June. The orientations of the over-wintering adults to<br />

dead and felled trees in the second flight might have<br />

caused them to react less to the aggregation pheromone<br />

used. In this case, it can be more valid to take into<br />

account the capture amounts for sampling the populations<br />

in the monitoring programs. Although pheromone<br />

preparations in the traps are replaced before the second<br />

flight, the capture efficiency decrease in this flight period<br />

may require a research on the format of the chemical<br />

compound of the pheromone preparations to be used for<br />

this flight. Most of the pheromone traps caught the<br />

predator species T. formicarius as well as I. sexdentatus.<br />

In 2006, at Yesiltepe region, between 3rd May and 24th<br />

August, all lively 207 T. formicarius adults were taken<br />

<strong>from</strong> 31 of 40 traps. In each trap 1 T. formicarius adult<br />

was captured against an average of 43.92 I. sexdentatus<br />

adults. Additionally, in eight different controls, 1 to 6 T.<br />

formicarius adults were found in traps where no I.<br />

sexdentatus adults existed. T. formicarius is an abundant<br />

and voracious predator of bark beetles. It is attracted by<br />

bark beetle pheromones and host tree substances<br />

(Schroeder, 1997). Serez (1983) states that next to I.<br />

sexdentatus, parasitoid species are also caught<br />

by pheromone traps as well as predator species T.<br />

formicarius. Clerid beetles react to the same pheromones<br />

with their preys (Aukema et al., 2000). In the mechanical<br />

control against I. sexdentatus in Murgul in 1985, plenty of<br />

predators (Rhizophagus dispar, T. formicarius, Raphidia<br />

sp.) were found in beetle galleries (Alkan and Aksu,<br />

1990). The assessments based on fresh I. sexdentatus<br />

galleries in the Eastern Black Sea Region between 1992<br />

and 1996, T. formicarius, Cylister oblongum, Paraphloeus<br />

longulus, Rhizophagus depressus, Rhizophagus dispar<br />

and Hypophloeus unicolor were found to be the most<br />

effective predators (Yuksel 1998). In the experiments, it<br />

was observed that T. formicarius reduced T. piniperda’s<br />

(L.) (Coleoptera: Scolytidae) reproduction efficiency as<br />

much as 81 to 92% (Schroeder, 1996; Schroeder and<br />

Weslien, 1994). Therefore, having this many T.<br />

formicarius adults in the traps comes out as a disadvantage<br />

of pheromone traps. Furthermore, in 2006, 18<br />

I. typographus adults were captured by 5 traps containing<br />

Tryphreon Ipstyp aggregation pheromone. In 2009, I.<br />

typographus was not caught in any traps other than<br />

these, including the 13 traps containing the same pheromone<br />

preparation. Also, I. typographus was not found<br />

among the beetles captured by traps with I. sexdentatus<br />

preparations, where I. typographus had been caught<br />

previously. This situation may be an indication of the<br />

selectivity of the used pheromone preparations against<br />

species.<br />

The existence of I. typographus in Turkish oriental<br />

spruce forests has been known for 75 years (Berker,<br />

1936; Alkan, 1964). However, I. typographus has developed<br />

a very severe outbreak effective in a 15,000 ha<br />

area, in 1984 in Artvin (Alkan, 1985), the first infested<br />

region after the great scale outbreak first caused by D.<br />

micans in the spruce forests (Eroglu et al., 2005). The<br />

results of these captures by pheromone traps, which<br />

were made after the first detection of I. typographus in<br />

Trabzon-Macka spruce forests, were a second finding of<br />

this beetle in these forests. The second big outbreak of I.<br />

typographus occurred in the spruce stands of Giresun<br />

where D. micans infested after Artvin. These pheromone<br />

traps, which were mostly used to support pressuring of<br />

low-intensity populations and to gather data on<br />

population fluctuations, made it available to detect the<br />

existence of a very dangerous species, I. typographus, in<br />

the region, a species which stayed under such low<br />

densities that could not be detected with other methods<br />

for long.<br />

REFERENCES<br />

Acatay A (1968). Turkiye’de yeni bir ladin tahripcisi, Dendroctonus<br />

micans Kug. I.U. Orm. Fak. Derg. 18: 18–36.<br />

Alkan B (1964). Turkiye’nin bitki zararlısı kabuk bocekleri (Col.,<br />

Scolytidae) faunası uzerine arastırmalar. A.U. Zir. Fak. Yıll. 4: 345–<br />

401.


Alkan S (1985). Savsat isletmesi ormanlarında Dendroctonus micans<br />

Kug. (dev soymuk bocegi). Orm. Muh. Derg. 1: 59–62.<br />

Alkan S, Aksu Y (1990). Rhizophagus dispar Pk.'in Ips sexdentatus ve<br />

diger kabuk bocekleri uzerindeki etkisi ile biyolojik mucadele<br />

uygulamalarında kullanılması olanakları uzerine arastırmalar.<br />

Uluslararası Biyolojik Mucadele Sempozyumu, Antalya, pp. 120–123.<br />

Alkan Akinci H, Ozcan GE, Eroglu M (2009). Impacts of site effects on<br />

losses of oriental spruce during Dendroctonus micans (Kug.)<br />

outbreaks in Turkey. Afr. J. Biotechnol. 8(16): 3934-3939.<br />

Ataman O (1967). Dogu Karadeniz ladin ormanlarında Ips sexdentatus<br />

kabuk bocegi tahribatı ve mucadele esasları. Tek. Bult. Derg. 6(22):<br />

79–89.<br />

Aukema BH, Dahlsten DL, Raffa KF (2000). Exploiting behavioral<br />

disparities among predators and prey to selectively remove pests:<br />

maximizing the ratio of bark beetles to predators removed during<br />

semiochemically based trap-out. Environ. Entomol. 29: 651–660.<br />

Bakke A (1968). Ecological studies on bark beetles (Coleoptera:<br />

Scolytidae) associated with Scots pine (Pinus sylvestris L.) in Norway<br />

with particular reference to the influence of temperature. Meddelelser<br />

fra det Norske Skogforsøksvesen, 83: 441–602.<br />

Bakke A (1989). The recent Ips typographus outbreak in Norwayexperiences<br />

<strong>from</strong> a control program. Holarct. Ecol. 12: 515–519.<br />

Benz G (1984). Dendroctonus micans in Turkey: The stuation today.<br />

Proceedings of the EEC Seminar Biological Control of Bark Beetles<br />

(Dendroctonus micans), 3–4 October, Brussels, Belgium, pp. 43–47.<br />

Berker A (1936). Orman Koruma Bilgisi. Ziraat Vekaleti, Orman<br />

Mektebi, Yayın 1, Istanbul, p. 377.<br />

Bernhard R (1935). Türkiye ormancılıgının mevzuatı, tarihi ve vazifeleri.<br />

Yük. Zir. Ens. Nesriyatı, No: 15, Ankara.<br />

Berryman AA, Ferrell GT (1988). The fir engraver beetle in western<br />

states. Dynamics of forest insect populations: patterns, causes, and<br />

implications (ed. by Berryman AA), Plenum, New York, pp. 556–576<br />

Besceli O, Ekici M (1969). Dogu ladini (Picea orientalis L.) mintikasinda<br />

Ips sexdentatus’un biyolojisi ve mucadelesi. Ormancılık Aras. Ens.<br />

Yayınl., Tek. Bul. Ser. No. 32, p. 32.<br />

Bonnemasion L (1962). Les ennemis animaux des plantes cultivées ed<br />

des forests. Editions Sep Paris. I, 586p, II, 500p, III 413p.<br />

Bouhot L, Lieutier F, Debouzie D (1988). Spatial and temporal<br />

distribution of attacks by Tomicus piniperda L. and Ips sexdentatus<br />

Boern. (Col., Scolytidae) on Pinus sylvestris. J. Appl. Entomol. 106:<br />

356–371.<br />

Canakcıoglu H (1983). Orman Entomolojisi, Ozel Bolum. I.U. Orm. Fak.<br />

Yayın No: 412, 244–247.<br />

Chararas C (1962). Etude biologigue des scolytides des conifères,<br />

Editions Paul. Lechevalier, Paris, p. 556.<br />

Demirci A (1991). Dogu Ladini (Picea orientalis (L.) Link.)–Dogu Kayını<br />

(Fagus orientalis Lipsky.) karısık mescerelerinin genclestirilmesi.<br />

Doktora tezi, KTU Fen Bilimleri Enstitüsü, Trabzon.<br />

Eroglu M, Alkan Akinci H, Ozcan GE (2005). Ladin ormanlarımızda<br />

kabuk bocegi yıkımlarına karsı izlenebilecek kısa ve uzun dönemli<br />

mücadele ve iyilestirme calısmaları. Ladin Sempozyumu, 20-22 Ekim<br />

2005, Trabzon, Bildiriler Kitabı, I. Cilt, pp. 184-194.<br />

Faccoli M, Stergulc F (2006). A practical method for predicting the<br />

short-time trend of bivoltine populations of Ips typographus (L.)<br />

(Coleoptera, Scolytidae). J. Appl. Entomol. 130(1): 61–66.<br />

Goix J (1977). Le dépérissement des pins dans la region 'Centre'.<br />

Phytoma, 290: 18-21.<br />

Gokturk T, Eldemir B (2005). Kabuk boceklerinin Artvin ormanlarında<br />

olusturdugu servet kaybı. Ladin Sempozyumu, 20-22 Ekim 2005,<br />

Trabzon, Bildiriler Kitabı, I. Cilt, pp. 300-306.<br />

Gokturk T, Eldemir B (2005). Kabuk boceklerinin Artvin ormanlarında<br />

olusturdugu servet kaybı. Ladin Sempozyumu, 20-22 Ekim 2005,<br />

Trabzon, Bildiriler Kitabı, I. Cilt, pp. 300-306.<br />

Hagler JR (2000). Biological control of insects, In: Rechcigl JE and<br />

Rechcigl NA (Eds.), Insect Pest Management: Techniques for<br />

Environmental Protection, CRC Lewis Publishers, Boca Raton, New<br />

York.<br />

Hayes CJ, DeGomez TE, Clancy KM, Williams KK, McMillin JD, Anhold<br />

JA (2008). Evaluation of funnel traps for characterizing the bark<br />

beetle (Coleoptera: Scolytidae) communities in ponderosa pine<br />

forests of north-central Arizona. J. Econ. Entomol. 101(4): 1253–65.<br />

Jactel H (1991). Dispersal and flight behaviour of Ips sexdentatus<br />

Ozcan et al. 16359<br />

(Coleoptera: Scolytidae) in pine forest. Ann. Sci. For. 48: 417-428.<br />

Jactel H, Gaillard J (1991). A preliminary study of the dispersal potential<br />

of Ips sexdentatus Boern (Coleoptera: Scolytidae) with an<br />

automatically recording flight mill. J. Appl. Entomol. 112: 138–145.<br />

Keskinalemdar E, Ozder Z (1995). Dogu Karadeniz ormanlarında<br />

meydana gelen onemli bocek salgınları ve yapılan mucadeleler. I.<br />

Ulusal Karadeniz Ormancılık Kongresi, 23–25 Ekim 1995, Trabzon,<br />

Bildiriler Kitabı, 3. Cilt, pp. 175-181.<br />

Kretschmer K (1990). Zur wirkung von aasgeruch auf die fangleistung<br />

von buchdruckerfallen. Anz. Schaädlingskde., Pflanzenschutz,<br />

Umweltschutz, 63: 46–48.<br />

Lieutier F, Faure T, Garcia J (1988). Les attaques de scolytes et le<br />

dépérissement du pin sylvestre dans la region Provence-Cote d'Azur.<br />

Revue Forestière-Française, 40: 224-232.<br />

Lieutier F, Cheniclet C, Garcia J (1989). Comparison of the defense<br />

reactions of Pinus pinaster and Pinus sylvestris to attacks by two<br />

bark beetles (Coleoptera: Scolytidae) and their associated fungi.<br />

Environ. Entomol. 18, 228-234.<br />

Lindelow Å, Schroeder M (2001). Spruce bark beetle, Ips typographus<br />

(L.), in Sweden: monitoring and risk assessment. J. For. Sci. 47: 40–<br />

42.<br />

Lobinger G (1995). Einsatzmoglichkeiten von borkenkäferfallen. Allg.<br />

Forst. Z., Waldwirtsch, Umweltvorsorge, 50: 198–201<br />

Minks AK (1977). Trapping with behaviour-modifying chemicals:<br />

feasibility and limitations. In: Shorey HH, McKelvey Jr. JJ (Eds.),<br />

Chemical control of insect behavior, NY: John Wiley and Sons Inc.<br />

pp. 385–395.<br />

Nilssen AC (1978). Development of a bark fauna in plantation of spruce<br />

(Picea abies (L.) Karst.) in North Norway. Astarte 11: 151-169.<br />

Oymen T (1992). The forest scolytidae of Turkey. I.U. Orm. Fak. Derg.<br />

A, 42(I): 77–91.<br />

Oymen T, Selmi E (1997). The forest bark beetles of Turkey and their<br />

epidemy. Porceedings of the XI. World Forestry Congress, Antalya,<br />

A(1): p. 200.<br />

Ozcan GE, Alkan Akinci H (2003). The effects of insect pest on the<br />

oriental spruce forests under traditional utility in the Eastern Black<br />

Sea Region of Turkey. XXXI. IFSS Congress, Istanbul, Turkey,<br />

Proceedings, pp. 91-95.<br />

Ozcan GE (2009). Macka orman isletmesi dogu ladini ormanlarında<br />

baslıca kabuk boceklerinin savas olanaklarının arastırılması. KTU<br />

Fen Bilim. Enstitüsü, Trabzon, p. 147.<br />

Ozder MZ (1978). Dogu ladini mıntıkasında Ips sexdentatus'un biyolojisi<br />

ve mucadelesi, Trabzon Hasere Mucaele Grup Mudurlugu Yayını, p.<br />

4.<br />

Ozkaya MS, Aksu Y, Gokturk BC (2010). Picea orientalis ve Pineus<br />

silvestris ormanlarında zarar yapan Ips sexdentatus (Boerner)<br />

(Coleoptera: Scolytidea)’un biyolojisi, morfolojisi, yayılısı, zararı, yapılan<br />

mucadele calısmaları ve alınan sonuclar uzerine arastırmalar. III.<br />

Ulusal Karadeniz Ormancılık Kongresi, 20-22 Mayıs 2010, Artvin,<br />

Bildiriler Kitabı, Cilt 4, pp. 1318–1326.<br />

Paiva MR, Pessoa MF, Vité JP (1988). Reduction in the pheromone<br />

attractant response of Orthotomicus erosus (Woll.) and Ips<br />

sexdentatus Boern. (Col., Scolytidae). J. Appl. Entomol. 106: 198-<br />

200.<br />

Perrot M (1977). Les attaques de scolytes sur les pins de la région<br />

centre. Revue Forestière Française, 29: 185-198.<br />

Reeve JD (1997). Predation and bark beetle dynamics. Oecologia 112:<br />

48–54<br />

Saatcioglu F (1976). Silvikulturun Biyolojik Esasları ve Prensipleri<br />

(Silvikultur I). I.U. Orm. Fak. Yayın No: 2187, p. 222.<br />

Safranyik L, Shore TL, Linton DA (2004). Measuring trap efficiency for<br />

bark beetles (Col., Scolytidae). Blacwell Verlag, JEN. 128(5): 337–<br />

341.<br />

Sarıkaya O (2008). Batı Akdeniz Bölgesi İğneyapraklı Ormanlarının<br />

Scolytidae (Coleoptera) Faunası. Süleyman Demirel Üniversitesi, Fen<br />

Bilimleri Enstitüsü, Doktora Tezi, Isparta, p. 224.<br />

Schimitschek E (1939). Beiträge zur Forstentomologie der Türkei III: Die<br />

Massenvermehrung des Ips sexdentatus Börner im Gebiete der<br />

orientalischen Fichte. Zeitschrift für angew. Entomologie, 26: 545-<br />

588.<br />

Schimitschek E (1953). Turkiye Orman Bocekleri ve Muhiti. I.U. Yayın<br />

No: 556, Orm. Fak. Yayın No: 24, p. 471.


16360 Afr. J. Biotechnol.<br />

Schönherr J, Vité JP, Serez M (1983). Überwachung von Ips<br />

sexdentatus-Populationen mit synthetischem Lockstoff. Zeits. für<br />

angew. Entomologie, 95: 51-53.<br />

Schroeder LM, Weslien J (1994). Interactions between the phloemfeeding<br />

species Tomicus piniperda (Col.: Scolytidae) and<br />

Acanthocinus aedilis (Col.: Cerambycidae) and the predator<br />

Thanasimus formicarius (Col.: Cleridae) with special reference to<br />

brood production. Entomophaga, 39: 149–157.<br />

Schroeder LM (1996). Interactions between the predators Thanasimus<br />

formicarius (Col.: Cleridae) and Rhizophagus depressus (Col.:<br />

Rhizophagidae), and the bark beetle Tomicus piniperda (Col.:<br />

Scolytidae). Entomophaga, 41: 63–75.<br />

Schroeder LM (1997). Impact of natural enemies on Tomicus piniperda<br />

offspring production. Proceedings: Integrating cultural tactics into the<br />

management of bark beetle and reforestation pests. USDA Forest<br />

Service General Technical Report NE 236: 204–214.<br />

Sekendiz OA (1991). Abies nordmanniana (Stev.) Spach.’nın Doğu<br />

Karadeniz Bölümü Ormanlarındaki Zararlı Böcekleri ile Koruma ve<br />

Savaş Yöntemleri. OGM Yayınları, Yayın No: 678, Sıra No: 73, p.<br />

200.<br />

Selmi E (1998). Turkiye Kabuk Bocekleri ve Savası. I.U. Yayın No:<br />

4042, p. 196.<br />

Serez M (1983). Turkiye orman zararlı boceklerinden Ips sexdantatus<br />

(Boerner) savasında ilk feromon denemeleri. KTU Orm. Fak. Derg. 2:<br />

251–256.<br />

Serez M (1987). Bazı onemli kabuk bocekleriyle savasda feromonların<br />

kullanılma olanakları. KTU Orm. Fak. Derg. 10(1): 99–131.<br />

Serez M, Eroglu M (1991). Turkiye'de orman zararlısı bazı boceklerle<br />

savasta biyoteknik yontemlerden yararlanma olanakları. VII. Kukem<br />

Kongresi, Kukem Derg. 14 (2): 58–59.<br />

Serez M (2001). Zararlı boceklere karsı feromon tuzaklarının<br />

kullanılması. Orm. Muh. Derg. 8: 5-6.<br />

Shorey HH (1991). The use of chemical attractants in insect control, in<br />

CRC handbook of pest management in agriculture, 2nd Edition, Vol.<br />

II, Pimentel D. Ed. CRC Press, Inc., Boca Raton.<br />

Tosun I (1977). Akdeniz bolgesi igne yapraklı ormanlarında zarar yapan<br />

bocekler ve onemli turlerin parazit ve yırtıcıları uzerine arastırmalar.<br />

O.G.M. Yayınl., Sıra No: 612, Seri No: 24, p. 201.<br />

Turchin P, Lorio PL, Taylor AD, Billings RF (1991). Why do populations<br />

of southern pine beetles (Coleoptera: Scolytidae) fluctuate? Environ.<br />

Entomol. 20: 401–409<br />

Vité JP, Bakke A, Hughes PR (1974). Ein Populations lockstoff des<br />

Zwölfzähnigen Kiefern borkenkäfers Ips sexdentatus.<br />

Naturweissenschaften, 61: 365-366<br />

Wainhouse D (2005). Ecological methods in forest pest management.<br />

Oxford University Press, New York<br />

Wermelinger B (2004). Ecology and management of the spruce bark<br />

beetle Ips typographus -a review of recent research. For. Ecol.<br />

Manage. 202: 67–82.<br />

Wood DL (1982). The role of pheromones, kairomones, and allomones<br />

in the host selection and colonization behavior of bark beetles. Ann.<br />

Rev. Entomol. 24: 411–446. Environ. Entomol. 20: 401–409.<br />

Yuksel B (1998). Ips sexdentatus (Boerner)’un biyolojisi ve mucadelesi.<br />

I.U. Orm. Fak. Cumhuriyetimizin 75. Yılında Ormancılıgımız<br />

Sempozyumu.<br />

Yuksel B, Tozlu G, Senturk M (2000). Sarıkamıs sarıcam (Pinus<br />

silvestris L.) ormanlarında etkin zarar yapan kabuk bocekleri ve<br />

bunlara karsı alınabilecek onlemler. Dogu Anadolu Orm. Aras. Enst.<br />

Tek. Bulten Yayın No: 3 p. 69.


African Journal of Biotechnology Vol. 10(72), pp. 16361-16366, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2094<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Distributional record of oak gall wasp (Hymenoptera:<br />

Cynipidae) species’ diversity in different regions of<br />

West-Azerbaijan, Iran<br />

Abbas Hosseinzadeh<br />

Department of Plant Medicine, Mahabad Branch, Islamic Azad University, Mahabad, Iran. E-mail:<br />

abas1354@yahoo.com. Tel: +98-9143435104. Fax: +98-442-2341005.<br />

Accepted 30 September, 2011<br />

Among gall–inducing insects, the majority of species are gall wasps (Hymenoptera: Cynipidae) that<br />

occur on oak trees (Quercus spp.) and produce galls on a certain part of the host. In this survey, oak<br />

gall wasp species were collected <strong>from</strong> the oak forests of Pardanan, Mirabad, Nalas, Sardasht, Hamran<br />

and Dar-ghabr in West-Azerbaijan province. The galls occurring on 50 cm sampled branches <strong>from</strong> four<br />

cardinal directions on each tree were counted multiple times throughout the season. Species richness<br />

of oak gall wasps was estimated for each region and also species diversity indices such as Simpson’s<br />

index, Shannon’s H', and Sorensen similarity quotient were calculated. In this survey, 40 oak gall wasps<br />

species were identified. Most galls were found on Quercus infectoria. All of the collected oak gall wasps<br />

belonged to seven genera: Andricus, Cynips, Neuroterus, Chilaspis, Pseudoneuroterus, Biorhiza and<br />

Aphelonyx. Among these species, 28 were related to the Andricus genus. The highest Simpson and<br />

Shannon indices were recorded in the Dar-ghabr and Pardanan regions in the fall, respectively. The<br />

highest Sorensen similarity was recorded in the spring's galls (sexual generation of oak gall wasps) and<br />

fall' galls (asexual generation) between Pardanan and Mirabad, and between Pardanan and Dar-ghabr<br />

regions, respectively. Differences in the local distribution of oak species, especially their subspecies,<br />

and the climate of the locations should be considered as main factors in oak gall wasp species diversity<br />

and the distribution of oak gall wasp species.<br />

Key words: Diversity, Similarity index, oak, gall wasps, forest.<br />

INTRODUCTION<br />

The Zagros Mountains in Iran are divided into the<br />

northern Zagros and southern Zagros. West-Azerbaijan<br />

province is located in the northern Zagros that is the main<br />

habitat of Quercus infectoria Oliv (Fatahi, 1994; Sabeti,<br />

1998; Saghebtalbi et al., 2004). This region is the focus<br />

of our study.<br />

Oak gall wasps select oak trees for gall formation on<br />

certain specialized organs (Rokas et al., 2003). About<br />

80% of wasps in the family Cynipidae produce diverse<br />

galls on oaks in terms of structure and form (Short and<br />

Castner, 1997; Liljeblad and Ronquist, 1998). Cynipid gall<br />

formation is an extremely complex interaction between<br />

cynipid gall wasps and the host plant, in which the wasp<br />

communicates with the host plant to redirect normal plant<br />

development to create galls that provide nutrients and<br />

protection for the developing larva (Nyman and Julkunen-<br />

Tiitto, 2000; Stone et al., 2002; Nylander, 2004). Sexual<br />

and asexual generations of oak gall wasps produce galls<br />

in the spring and early summer, and in the summer and<br />

autumn, respectively (Schonrogge et al., 1999). Biodiversity<br />

in each region should be a key health and<br />

environmental sustainability of the region (Schowalter,<br />

1996; Ashori and Kheradpir, 2009).<br />

Species diversity refers to the variety of species such<br />

as the number and relative abundance in a defined<br />

location. Species diversity can be measured in different<br />

ways, which can be classified into three groups of<br />

measurements: species richness, species abundance<br />

and taxonomic or phylogenetic diversity (Magurran,<br />

1988). There are four methods for evaluating species<br />

diversity and one of them is general index of diversity. A<br />

number of these indices that assess the relative<br />

frequency of the species are known as heterogeneity<br />

indexes. One indicator is the Shannon diversity index that


16362 Afr. J. Biotechnol.<br />

involves predicting an individual randomly <strong>from</strong> a set of S<br />

species with N selected individuals (Magurran, 1988,<br />

2004). This index is usually between 1.5 and 4.5 and the<br />

low level of this index represents the destruction of the<br />

environment (Schowalter, 1996). Another index is<br />

Simpson index that is based on abundance and<br />

evenness of species. This indicator is strongly related to<br />

dominant species, but has little sensitivity to species<br />

richness. This index value is between zero and one and<br />

the numbers close to one represent a high diversity<br />

(Simpson, 1949). Beta diversity is measured by important<br />

indicators such as Sorensen which are used to show the<br />

variation in trends in different localities (Schowalter,<br />

1996).<br />

Oak gall wasp species have high richness in the West-<br />

Azerbaijan province. Shojai (1980) reported 36 oak gall<br />

wasp species associated with oak Q. infectoria <strong>from</strong> Iran.<br />

Recent surveys were conducted about the cynipids fauna<br />

in Iran (Azizkhani, 2006; Tavakoli et al., 2008; Zargaran<br />

et al., 2008) and according to the latest results, and 82<br />

species of oak gall wasps have been introduced in the<br />

oak forests of Iran whereas 25 species are species that<br />

were reported in the world for the first time (Sadeghi et<br />

al., 2010). However, few studies have measured oak<br />

cynipid gall wasps diversity. Nazemi et al. (2008)<br />

reported species richness of oak gall wasps <strong>from</strong><br />

Kurdistan, Ilam and Kermanshah provinces of Iran. The<br />

oak gall wasps species diversity and their distribution in<br />

West-Azerbaijan province of Iran were carried out in<br />

2008-2009. The objective of this paper is to measure oak<br />

gall wasp diversity in multiple regions in West-Azerbaijan<br />

province.<br />

MATERIALS AND METHODS<br />

Sampling was performed in six regions of West-Azerbaijan<br />

province, Iran (Table 1), in 2008-2009 where cynipid galls were<br />

collected <strong>from</strong> oak forests. The climates were identified based on<br />

Dumarten's climate classification method. In our study area,<br />

sampling of cynipid galls took place in the mid and the end of<br />

spring, in the end of summer, and in the mid of fall to collect sexual<br />

and asexual galls occurring throughout the seasons. The optimal<br />

number of samples was determined according to Southwood and<br />

Henderson’s formula (2000) that is N=(t×s / D×m) 2 , where t is<br />

student’s T-test of standard statistical tables, D is the<br />

predetermined confidence limit for the estimation of the mean<br />

expressed as a decimal (0.2), m is preminaliry sampling mean and<br />

s is the standard deviation. The optimal number of samples was<br />

determined to be 30 trees per region. In total, we counted galls on<br />

360 trees in six sites (30 trees per site) in two years. All cynipid<br />

galls were counted on randomly selected four branches (each<br />

branch length was 50 cm) in four cardinal directions per tree. Also,<br />

the trees were selected randomly.<br />

We calculated species diversity <strong>using</strong> a variety of indices.<br />

Species diversity refers to the variety of species. Species richness<br />

was measured by counting the number of species in a defined area<br />

or site. We also measured the species abundance of each species.<br />

Measures of species diversity that simplify information on species<br />

richness and relative abundance into a single index are of extensive<br />

use (Magurran, 2004). We calculated species richness, Shannon’s<br />

H', Simpson’s index, and Sorensen similarity coefficient for each<br />

region in the spring and the fall collections separately <strong>using</strong><br />

Ecological Methodology 3.0 software (Krebs, 1998).<br />

Shannon-Weiner index: The computation of this diversity index<br />

uses the following formula:<br />

N o<br />

Shannon’s H' = - i 1<br />

p<br />

i<br />

* log<br />

p<br />

i<br />

Where, pi is the proportion of the total number of individuals, and No<br />

is the total number of species in a region.<br />

Simpson's index: The diversity index is calculated <strong>using</strong> the<br />

following formula:<br />

Simpson’s diversity indices = 1 -<br />

i<br />

N<br />

1<br />

ni<br />

( ni<br />

N(<br />

N<br />

1)<br />

1)<br />

Where, ni is the number of individuals of a particular species in a<br />

region, N is the total number of individuals of all species in a region.<br />

Similarity coefficients directly compare diversity of different sites<br />

and represent the number of species common to all areas.<br />

Sørensen similarity index is calculated <strong>from</strong> this formula as:<br />

Cs = 2a / (2a + b + c)<br />

Where, a is the number of species common to both sites, b is the<br />

number of species in site B, but not in A and c is the number of<br />

species in site A, but not in B.<br />

RESULTS<br />

In the six sites, 40 oak gall wasps species were collected<br />

and separated. These species were in the following<br />

genera: Andricus (28 species), Cynips (3 species),<br />

Neuroterus (4r species), Pesudoneuroterus (1 species),<br />

Chilaspis (1 species), Biorhiza (1 species) and Aphelonyx<br />

(2 species). The genus Andricus had the highest species<br />

richness. Also, gall wasp species richness was different<br />

among the regions. We collected 34 species <strong>from</strong><br />

Pardanan, 17 species <strong>from</strong> Mirabad, 15 species <strong>from</strong><br />

Nalas, 18 species <strong>from</strong> Hamran, 28 species <strong>from</strong> Darghabr<br />

and 17 species <strong>from</strong> Sardasht regions. The highest<br />

oak gall wasp species’ richness was found in the<br />

Pardanan region whereas Nalas region had the lowest<br />

species richness among the stations. The highest<br />

number of species of the genus Andricus was observed<br />

in the Pardanan region with 25 species and the lowest<br />

number of this genus was 8 species in Nalas region.<br />

Cynips was found in all of the regions and maximum<br />

number of 3 species belonging to Cynips was collected<br />

<strong>from</strong> Pardanan and Dar-ghabr regions. All species of the<br />

genus Neuroterus sp. (total 4 species), were obtained<br />

<strong>from</strong> the Nalas region. Meanwhile, only 1 species of the<br />

genus Neuroterus was observed in Mirabad region. The<br />

two genera Pseudoneuroterus and Chilaspis with 1<br />

species were found only in the Hamran region. Biorhiza<br />

pallida Olivier was obtained <strong>from</strong> Pardanan, Mirabad and<br />

Sardasht but Aphelonyx was observed in all of the study<br />

regions.


Table 1. Oak gall wasp species diversity in different regions of West-Azerbaijan, 2008-2009.<br />

Characteristic<br />

Host (Quercus)<br />

S, Spring; F, fall; *, not calculated (only one species was collected).<br />

Table 2. Sorensen similarity quotient (percent) in different regions of West-Azerbaijan.<br />

Hosseinzadeh 16363<br />

Region<br />

Pardanan Mirabad Hamran Nalas Dar-ghabr Sardasht<br />

Q. infectoria<br />

Q. brantii<br />

Q. libani<br />

Q. infectoria<br />

Q. brantii<br />

Region Pardanan Mirabad Nalas Hamran Dar-ghbr Sardasht<br />

Pardanan * 70.2(max) *62.2 * Not similar * Not similar *65.3<br />

Mirabad 56.2 *66 *41 * Not similar *61<br />

Nalas 53 45.2 *32(min) * Not similar *43.5<br />

Hamran 42 43.1 51.5 *57.6 * Not similar<br />

Dar-ghbr 87.3(max) 44 25.4(min) 55 * Not similar<br />

Sardasht 64.2 60.7 38 33.2 58<br />

(* means, for the spring's galls and other are the fall's galls).<br />

All species of oak gall wasps were gathered on 3<br />

species of oak Q. infectoria, Q. brantii and Q. libani and<br />

Table 3 presents the species-rich fauna of oak gall wasp<br />

species in West-Azerbaijan that occurred on Q. infectoria.<br />

The highest number of the spring' species was found on<br />

Q. brantii The lowest value of Simpson index (0.524)<br />

was found in the spring collected galls <strong>from</strong> Sardasht<br />

region and the highest value of this index (0.912) was<br />

recorded in the summer and fall galls in Dar-ghabr region<br />

(Table 1). The only collected species <strong>from</strong> Dar-ghabr in<br />

spring was Andricus cecconi Kieffer that produced the<br />

galls on Q. brantii. Thus, we could not calculate diversity<br />

indices for this region. The highest value of Shannon<br />

index, for summer-fall galls was recorded in Pardanan<br />

and Dar-ghabr regions and the high level of this index in<br />

these regions indicate that oak gall wasp species have<br />

the highest species richness and abundance in these<br />

regions. The lowest of Shannon index in spring's galls<br />

was observed in Sardasht (2.231) area<br />

Beta diversity, which indicates a change in species<br />

richness among regions, is measured <strong>using</strong> Sorensen<br />

Q. infectoria<br />

Q. brantii<br />

similarity quotient Of spring's galls, the highest similarity<br />

was between Mirabad and Pardanan and the lowest<br />

recorded index of similarity was between two regions,<br />

Hamran and Nalas (Table 2). Pair wise regions such as<br />

Hamran and Pardanan, Dar-ghabr and Pardanan, Darghabr<br />

and Mirabad, Dar-ghabr and Nalas, Sardasht and<br />

Hamran do not share any species; therefore, the similarity<br />

value was zero The highest and lowest similarity<br />

index of the summer galls was observed between Darghabr<br />

and Pardanan (87.3%), and between Nalas and<br />

Dar-ghabr (25.4%), respectively (Table 2).<br />

DISCUSSION<br />

Q. infectoria<br />

Q. brantii<br />

Q. infectoria<br />

Q. brantii<br />

Q. libani<br />

Q. infectoria<br />

Q. brantii<br />

Q. libani<br />

Latitude 36° 39′N 36° 15′N 36° 01′N 36° 35′N 36° 11′N 36° 25′N<br />

Longitude 45° 28′W 45° 22′W 45° 47′W 45° 11′W 45° 24′W 45° 48′W<br />

Climate Very humid and cold<br />

Very humid<br />

and cold<br />

Humid<br />

Mediterranean<br />

Very humid<br />

Mediterranean<br />

Humid<br />

Mediterranean<br />

Very humid<br />

Mediterranean<br />

Diversity index<br />

Simpson<br />

Shannon’s H’<br />

No. of species<br />

(Spring+Fall)<br />

S 0.721 0.811 0.612 0.659 * 0.524<br />

F 0.896 0.841 0.875 0.813 0.912 0.835<br />

S 2.019 2.322 1.662 1.756 * 1.231<br />

F 4.117 2.963 3.109 2.735 4.108 3.308<br />

34(4+30) 17(5+12) 18(3+15) 15(3+12) 28(1+27) 17(3+14)<br />

40 oak gall wasps species <strong>from</strong> studied areas in West-<br />

Azerbaijan province were identified to belong to seven<br />

major genera of the family Cynipidae. Andricus, Cynips<br />

and Aphelonyx with 65.7, 11.42 and 5.7 abundance,<br />

respectively were distributed in all of the areas. Andricus<br />

was found on the three oak species, Cynips on Q.


16364 Afr. J. Biotechnol.<br />

Table 3. Oak gall wasps species associated with oak trees in West-Azerbaijan, 2008-2009.<br />

Oak gall wasps species<br />

Spring gall<br />

Location of gall formation Type of generation Host<br />

1 A. burgundus (Giraud, 1859) Catkin Sexual Q. libani<br />

2 A. cecconii (Kieffer, 1901) Catkin Sexual Q. brantii<br />

3 A. curvator (Hartig, 1840) Leaf Sexual Q. infectoria<br />

4 A. grossulariae (Giraud, 1859) Catkin Sexual Q. brantii<br />

5 A. multiplicatus (Giraud, 1859) Leaf Sexual Q. brantii<br />

6 Biorhiza pallida (Olivier, 1791) Shoot Sexual Q. infectoria<br />

7 Chilaspis israeli (Sternlicht, 1968) Catkin Sexual Q. brantii<br />

8 Andricus pseudoaries (Melika et al. 2004) Shoot Asexual Q. infectoria<br />

9 A. askewi (Melika and Stone, 2001) Shoot Asexual Q. infectoria<br />

10 A. caliciformis (Giraud, 1859) Shoot Asexual Q. infectoria<br />

11 A. caputmedusae (Hartig, 1843) Shoot Asexual Q. infectoria<br />

12 A. conglomeratus (Giraud, 1859) Shoot Asexual Q. infectoria<br />

13 A. coriarius (Hartig, 1843) Shoot Asexual Q. infectoria<br />

14 A. foecundatrix (Hartig, 1840) Shoot Asexual Q. infectoria<br />

15 A. galeatus (Giraud, 1859) Shoot Asexual Q. infectoria<br />

16 A. gemmeus (Giraud, 1859) Shoot Asexual Q. infectoria<br />

17 A. hystrix (Trotter, 1899) Shoot Asexual Q. infectoria<br />

18 A. kollari (Hartig, 1843) Shoot Asexual Q. infectoria<br />

19 A. lucidus (Hartig, 1843) Shoot Asexual Q. infectoria<br />

20 A. mediterraneae (Trotter, 1901) Shoot Asexual Q. infectoria<br />

21 A. megalucidus (Melika et al. 2003) Shoot Asexual Q. infectoria<br />

22 A. panteli (Kieffer, 1901) Branch Asexual Q. infectoria<br />

23 A. polycerus (Giraud, 1859) Branch Asexual Q. infectoria<br />

24 A. quercuscalicis (Borgsdorf, 1783) Fruit Asexual Q. infectoria<br />

25 A. quercustozae (Bosc, 1792) Shoot Asexual Q. infectoria<br />

26 A. seckendorffi (Wachtl, 1879) Shoot Asexual Q. infectoria<br />

27 A. sternlichtii (Bellido and Melika, 2003) Shoot Asexual Q. infectoria<br />

28 A. theophrastea (Trotter, 1901) Shoot Asexual Q. infectoria<br />

29 A. tomentosus (Trotter, 1901) Shoot Asexual Q. infectoria<br />

30 A. megatruncicolus Giraud Shoot Asexual Q. infectoria<br />

31 Aphelonyx cerricola (Giraud, 1859) Shoot Asexual Q. brantii<br />

32 Aphelonyx persica (Melika et al. 2004) Shoot Asexual Q. brantii<br />

33 Cynips cornifex (Hartig, 1843)<br />

Leaf Asexual Q. infectoria<br />

34 C. quercus (Fourcroy, 1785) Leaf Asexual Q. infectoria<br />

35 C. quercusfolii (Linnaeus, 1758) Leaf Asexual Q. infectoria<br />

36 Neuroterus saliens (Kollar, 1857) Leaf Asexual Q. brantii<br />

37 N. lanoginosus (Giraud, 1859) Leaf Asexual Q. brantii<br />

38 N. numismalis (Geoffroy, 1785)<br />

Leaf Asexual Q. infectoria<br />

39 N. quercus-baccarum (Linnaeus, 1758) Leaf Asexual Q. infectoria<br />

40 Pseudoneuroterus macropterus (Hartig, 1843) Shoot Asexual Q. brantii<br />

infectoria and Q. brantii, and Aphelonyx only on Q.<br />

brantii. Considering the different studied climatic regions,<br />

at the first stage it did not appear that these species’<br />

distribution will be affected by climate change. Q.<br />

infectoria was the most widely distributed oak in all<br />

regions, and subsequently the highest number of galls<br />

(30 galls) was recorded on this oak species It was host<br />

to the highest gall species richness on Q. infectoria.<br />

Meanwhile, the numbers of 9 and 1 species of gall wasps<br />

were present on Q. brantii and Q. libani, respectively.<br />

Similarly, Azizkhani et al. (2007) found that oak gall wasp<br />

fauna of the Lorestan province in Iran was higher on Q.<br />

brantii compared to Q. infectoria Pseudoneuroterus and<br />

Chilaspis species produced galls on Q. brantii and only<br />

were collected <strong>from</strong> the Hamran region. Given that Q.<br />

brantii was present in both areas and that Hamran and


Dar-ghabr regions have similar climates, which appear to<br />

be of other factors involved in the distribution of these 2<br />

species and very possibly the presence of different<br />

subspecies of oak trees will be investigated as the first<br />

important factor in this relationship. Among 40 of oak gall<br />

wasps species, 7 spring galls and 33 summer-fall galls<br />

were identified. Most of the spring's galls (4 galls) were<br />

created by the sexual generation of oak gall wasp<br />

species on Q. brantii. In contrast, most summer-fall galls<br />

(28 species) were made by asexual generation of oak<br />

gall wasps on Q. infectoria. Only one species of oak gall<br />

wasps in the spring is gall-maker on Q. libani. In fact,<br />

these oak species have the lowest richness of oak gall<br />

wasps. Based on climatic similarity in the Pardanan and<br />

Mirabad regions and also the presence of Q. brantii as a<br />

dominant species, the highest similarity was found in the<br />

spring between these two regions. The lowest similarity<br />

was registered between Hamran and Nalas regions that<br />

contain similar oak species, and different climates. It<br />

seems that presence of oak gall wasp species was<br />

affected by climate and or oak species and also<br />

subspecies. Due to a lower species richness in spring (7<br />

species) and lack of equal distribution in various regions,<br />

the rate similarity index was zero in many areas that<br />

showed dissimilarity in the desired areas (Table 2). Stone<br />

et al. (2002) suggests geographical differences in oak<br />

gall wasp fauna is related to oak distribution patterns in<br />

different regions The highest similarity of the asexual<br />

generation of oak gall wasp was observed between the<br />

Pardanan and Dar-ghabr regions where the plant<br />

covering is the same but climates are different <strong>from</strong> each<br />

other. Oak gall wasp species richness might be expected<br />

to increase due to the richness of host plant species<br />

(Starzomski et al., 2008) Species richness of oak gall<br />

wasps in Mexico was reviewed and the results showed<br />

that species richness between insects and host plants<br />

have positive correlations (Cuevas-Reyes et al., 2004).<br />

Galling insects may preferentially select those plant<br />

species with characteristics such as chemical toxicity,<br />

mechanical strength, or longevity that can be manipulated<br />

to benefit the galler (Genimar-reboucas et al.,<br />

2003). Gall traits (such as structure, location, and<br />

phenology) may play important roles in community<br />

diversity, but there is little empirical evidence of this<br />

(Hayward and stone, 2005). The lowest similarity was<br />

observed between Dar-ghabr and Nalas in summer.<br />

Probably the presence of oak species and their<br />

subspecies was the cause of this difference and led to<br />

different richness of oak gall wasp and a minimum<br />

similarity between these two regions has been recorded<br />

Blanche (2000) in a study concluded that the ambient<br />

temperature and rainfall does not have an effect on<br />

distribution of galling insects and we cannot conclude that<br />

the species richness in warm and dry regions is higher<br />

than the cold and humid regions. But, some results in<br />

relation to galling-insect distribution showed that the<br />

effect of humidity on the distribution of these insects is<br />

Hosseinzadeh 16365<br />

minor and leads to the lower species richness (Fernandes<br />

and Price, 1992)<br />

Price et al. (2004) studied the oak gall wasps demographic<br />

population changes and also the relationship<br />

between host plant and gall wasps species richness. Gall<br />

wasps are specialist and because all of the galling<br />

insects are usually host-specific, generation and maintenance<br />

of gall wasp species richness is often related to<br />

plant species richness (Wright and Samways, 1996;<br />

Abrahamson et al., 1998; Price, 2005).<br />

ACKNOWLEDGMENTS<br />

I dedicate my cordial thanks to the head of Islamic Azad<br />

University, Mahabad Branch, for their financial and<br />

scientific supports. I also thank Dr. Zargaran for<br />

assistance and analyzing of the data.<br />

REFERENCES<br />

Abrahamson WG, Melika G, Scrafford R, Csoka C (1998). Gall-inducing<br />

insects provide insights plant systematic relationships. Am. J. Bot. 85:<br />

1159-65.<br />

Ashori A, Kheradpir N (2009). Inset Ecology. University of Tehran<br />

Publishing. p. 579.<br />

Azizkhani E (2006). Parasitoid fauna of oak gall wasps in Lorestan<br />

province. PhD thesis, Faculty of Agricultural, Tehran University, p.<br />

277.<br />

Azizkhani E, Sadeghi SE, Rasoulian GR, Tavakoli M, Omid R, Moniri<br />

VR, Yarmand H (2007). Survey of gall wasps of the family Cynipidae<br />

associated with two oak species Quercus brantii and Q. infectoria in<br />

Lorestan province of Iran. Iranian J. For. Range Prot. Res. 5: 66-79.<br />

Blanche KR (2000). Diversity of insect-induced galls along a<br />

temperature-rainfall gradient in the tropical savannah of the Northern<br />

Territory. Austral. Ecol. 25(4): 311-18.<br />

Cuevas-Reyes P, Quesada M, Hanson P, Dirzo R, Oyama K (2004).<br />

Diversity of gall-inducing insects in a Mexican tropical dry forest: the<br />

importance of plant species richness, life-forms, host plant age and<br />

plant density. J. Ecol. 92: 707-716.<br />

Fatahi M (1994). Oak Forests of Zagros. Institute of Forests and<br />

Rangelands Publishing. p. 63.<br />

Fernandes GW, Price WP (1992). Adaptive significance of insect galls<br />

distribution: survival of species in xeric and mesic habitats. Oecologia,<br />

90: 14-20.<br />

Hayward A, Stone GN (2005). Oak gall wasp communities: evolution<br />

and ecology. Basic Appl. Ecol. 6(5): 435-443.<br />

Genimar-Reboucas J, Eduardo-Martins V, Wilson F (2003). Richness<br />

and abundance of gall-forming insects in the Mamiraua Varzea, a<br />

flooded Amazonian forest. UAKARI, 1(1): 39-42.<br />

Krebs CJ (1998). Ecological methodology. Second ed. Addison Wesley<br />

Publishing, USA. p. 620.<br />

Liljeblad J, Ronquist F (1998). Phylogenetic analysis of higher-level gall<br />

wasp relationships (Hymenoptera: Cynipidae). Syst. Entomol. 23:<br />

229-252.<br />

Magurran AE (1988). Ecological diversity and its measurement. First ed.<br />

Croom Helm Ltd. Publishing, London. p. 179.<br />

Magurran AE (2004). Measuring biological diversity. Blackwell<br />

Publishing, Oxford, UK.<br />

Nazemi J, Talebi AA, Sadeghi SE, Melika G, Lozan A (2008). Species<br />

richness of oak gall wasps (Hymenoptera: Cynipidae) and<br />

identification of associated inquilines and parasitoids on two oak<br />

species in western Iran. North-Western J. Zool. 4: 189-202.<br />

Nylander JAA (2004). Bayesian phylogenetics and the evolution of gall<br />

wasps. Comprehensive summaries of Uppsals dissertations <strong>from</strong> the<br />

Faculty of Science and Technology. Available on: http://www.uu.se. p.


16366 Afr. J. Biotechnol.<br />

43.<br />

Nyman T, Julkunen-Titto R (2000). Manipulation of the phenolic<br />

chemistry of Willows by gall-inducing sawflies. Proc. Natl. Acad. Sci.<br />

USA, 97: 13184-13187.<br />

Price PW (2005). Adaptive radiation of gall-inducing insects. Basic .<br />

Appl. Ecol. 6:413-421.<br />

Price PW, Abrahamson WG, Hunter M, Melika G (2004). Using gall<br />

wasp on oaks to test broad ecological concepts. Conserv. Biol. 18:<br />

1405-16.<br />

Rokas A, Melika G, Abe Y, Nieves-Aldrey J, Cook J, Stone NG (2003).<br />

Life cycle closure, lineage sorting, hybridization revealed in a<br />

phylogenetic analysis of European oak gall wasps. Mol. Phyl. Evol.<br />

26: 36-45.<br />

Sabeti H (1998). Forests, Trees and Shrubs of Iran. University of Yazd<br />

Publishing. p. 802.<br />

Sadeghi SE, Melika G, Stone GN, Assareh MA, Askary H, Tavakoli M,<br />

Yarmand H, Azizkhani E, Zargaran MR, Barimani H, Dordaii AA,<br />

Aligholizadeh D, Salehi M, Mozafari M, Zeinali S, Mehrabi A (2010).<br />

Oak gallwasps faune of Iran (Hym: Cynipidae: Cynipini). 7th<br />

international Congress of Hymenoptroists, p. 112.<br />

Saghebtalbi K, Sajedi T, Yazdian F (2004). Forests of Iran. Institute of<br />

Forests and Rangelands Publishing. p. 27.<br />

Schonrogge K, Walker P, Crawley M (1999). Complex life-cycle in<br />

Andricus kollari Linneaus (Hymenoptera: Cynipidae). Oikos, 84: 293-<br />

301.<br />

Schowalter T (1996). Insect ecology. Oregon Univ. Pub. p. 479.<br />

Shojai M (1980). Study of the gall forming cynipid Hymenoptera of<br />

Iranian oak forests. J. Entomol. soc. Iran, supplement 3.<br />

Short D, Castner L (1997). Insect Galls. Available on: http:// hammock.<br />

ifas. ufl. edu. p. 22.<br />

Simpson GH (1949) Measurement of diversity. Nature, 163: p. 688.<br />

Southwood TRE, Henderson PA (2000). Ecological methods. First ed.<br />

Blackwell Science Ltd., Oxford, UK. pp. 575.<br />

Starzomski BM, Parker RL, Srivastava DS (2008). On the relationship<br />

between regional and local species richness: A test of saturation<br />

theory. Ecology, 89(7): 1921-1930.<br />

Stone GN, Schonrogge K, Atkinson R, Bellido D, Pujade-Villar J (2002).<br />

The population biology of oak gall wasps (Hymenoptera:Cynipidae).<br />

Annu. Rev. Entomol. 47: 633-668.<br />

Tavakoli M, Melika G, Sedeghi S, Penzes Zs, Assareh M, Atkinson R,<br />

Betchold M, Miko I, Zargaran MR, Aligholizadeh D, Barimani H, Bihari<br />

P, Pirozi F, Fulop D, Somogyi K, Challis R, Preuss S, Nichollas J,<br />

Stone GN (2008). New species of Cynipid gall wasps <strong>from</strong> Iran and<br />

Turkey (Hymenoptera: Cynipini). Zootaxa, 1699: 1-64.<br />

Wright MG, Samways MJ (1996). Insect species richness tracking plant<br />

species richness in a diverse flora: gall-insects in the Cape floristic<br />

region. Oecologia, 115: 427-433.<br />

Zargaran MR, Sadeghi SE, Hanifeh S (2008). Identification of oak gall<br />

wasps and their parasitoids in west Azerbaijan province of Iran.<br />

Report of project of Institute of forests and rangelands, Iran. p. 108.<br />

(in Persian).


African Journal of Biotechnology Vol. 10(72), pp. 16367-16373, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1101<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Phosphine resistance in Rhyzopertha dominica<br />

(Fabricius) (Coleoptera: Bostrichidae) <strong>from</strong> different<br />

geographical populations in China<br />

XuHong Song, PingPing Wang and HongYu Zhang*<br />

State Key Laboratory of Agricultural Microbiology, Institute of Urban and Horticultural Pests, College of Plant Science<br />

and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, People’s Republic of China.<br />

Accepted 25 July, 2011<br />

This study was carried out to determine the level of phosphine resistance in 16 Rhyzopertha dominica<br />

(Fabricius) populations that were collected <strong>from</strong> ten provinces and one municipality in China following<br />

the Food and Agriculture Organization’s (FAO) standard method. Results showed that the 50% lethal<br />

concentration (LC50) of phosphine to these R. dominica populations ranged <strong>from</strong> 0.017 to 4.272 mg/L. Of<br />

the 16 populations, 5 were of low resistance, 6 were moderately resistant, and 5 were high resistant.<br />

The instantaneous rate of population increase (ri) was correlated with phosphine resistance followed by<br />

the Exponential model (y = 0.037e -0.005X , R 2 = 0.937). The relationship between the types of grain storage<br />

and the phosphine resistance of R. dominica population were also discussed.<br />

Key words: Phosphine resistance, instantaneous rate of population increase, Rhyzopertha dominica, China.<br />

INTRODUCTION<br />

The lesser grain borer, Rhyzopertha dominica (Fabricius)<br />

(Coleoptera: Bostrichidae), is a widely studied stored-product<br />

insects originating <strong>from</strong> tropical areas, but actually<br />

distributed all over the world. Both larvae and adults are<br />

<strong>internal</strong> feeders, ca<strong>using</strong> serious damages to grains,<br />

such as rice, maize, wheat and other stored commodities.<br />

The insect can develop and maintain a high rate of<br />

oviposition in dry grains, and can even survive in grains<br />

with as low as 8% moisture content (Birch, 1945a, b).<br />

Existing projections indicate that future population and<br />

economic growth will require a doubling of current food<br />

production, including an increase <strong>from</strong> 2 billion to 4 billion<br />

tons of grains annually (Tubiello et al., 2007). However,<br />

the activities of insects and mites could frustrate these<br />

efforts. Arthropod pests are responsible for deterioration<br />

of stored food and can cause yearly losses estimated at<br />

about 30% of 1800 million tons of stored grain (Haubruge<br />

et al., 1997). In China, 60% grain yield is usually stored<br />

for further use, and as part of food security grain storage;<br />

*Corresponding author. E-mail: hongyu.zhang@ mail.hzau. edu.<br />

cn Tel: 86-27-87281156.<br />

during which about 6-12% grain loss as a result of pest<br />

damage is recorded in rural areas (Lan, 2006).<br />

The main method for controlling stored-product insects<br />

in many countries, including China, is through fumigation<br />

with phosphine and methyl bromide. Use of methyl<br />

bromide is associated with depletion of the ozone layer<br />

and bromine residues in the soil (WMO, 1995; Ristaino<br />

and Thomas, 1998). Therefore, there is increased<br />

reliance on phosphine to control stored-product insects<br />

(Lorini et al., 2007). Phosphine gas has been used worldwide<br />

for more than half a century as a useful fumigant for<br />

the control of stored-product insects (Price and Mills,<br />

1988; Chaudhry, 2000), and for the protection of stored<br />

grains and other commodities <strong>from</strong> pest attack.<br />

However, widespread resistance to phosphine has<br />

emerged in several species of stored-product insects in<br />

many countries in which phosphine control failure has<br />

been detected (Champ and Dyte, 1977; Chaudhry, 2000;<br />

Collins et al., 2005; Lorini and Collins, 2006; Pimentel et<br />

al., 2007, 2010; Savoldelli and Süss, 2008; Collins,<br />

2009). Several strong phosphine-resistant stored-product<br />

insects have been found in Morocco (Benhalima et al.,<br />

2004), Brazil (Ansell et al., 1990; Mills and Athie, 2001;<br />

Athie and Mills, 2005), Vietnam (Bui, 1999), China (Yan


16368 Afr. J. Biotechnol.<br />

Table 1. Origin of Chinese populations of R. dominica.<br />

Population City Province Grain category Storage facility Time<br />

ZC Zhucheng Shandong Wheat Wheat processing industry September, 2007<br />

XC Xuchang He’nan Wheat Local storage August, 2007<br />

HD Handan Hebei Wheat National storage September, 2008<br />

XN Changsha Hu’nan Rice Rice processing industry August, 2008<br />

ZG Hefei Anhui Rice Rice processing industry August, 2008<br />

GA Gaoan Jiangxi Rice Local storage August, 2008<br />

HP Wuhan Hubei Rice National storage July, 2008<br />

AL Anlu Hubei Rice National storage September, 2007<br />

SY Shayang Hubei Rice National storage May, 2007<br />

XF Xiangfan Hubei Rice National storage May, 2007<br />

BN Chongqing Chongqing Rice Rice processing industry September, 2007<br />

BB Chongqing Chongqing Rice National storage September, 2007<br />

LZ Luzhou Sichuan Rice National storage October, 2008<br />

GY Guiyang Guizhou Rice National storage August, 2008<br />

YC Yangchun Guangdong Rice Local storage May, 2007<br />

JM jiangmen Guangdong Rice Local storage August, 2007<br />

et al., 2004; Cao, 2006), Australia (Collins, 1998;<br />

Bengston et al, 1999; Valmas and Ebert, 2006 ) and<br />

Pakistan (Alam et al., 1999; Ahmedani et al., 2006,<br />

2007).<br />

Resistance to phosphine has been reported in several<br />

economical important insect species, including R.<br />

dominica (F.), Sitophilus oryzae (Linnaeus), Sitophilus<br />

zeamais (Motschulsky), Tribolium castaneum (Herbst)<br />

Trogoderma granarium Evert, Oryzaephilus surinamensis<br />

(L.), Cryptolestes ferrugineus (Stephens), Liposcelis<br />

bostrychophila (Badonnel), L. entomophila (Enderlein)<br />

and L. decolor (Pearman) (Champ and Dyte, 1977; Borah<br />

and Chahal, 1979; Benhalima, 1988; Leong and Ho,<br />

1994; Lorini and Galley, 1999; Nayak et al., 2002, 2003;<br />

Cao et al., 2003; Athie and Mills, 2005; Pimentel et al.,<br />

2010; Nayak and Collins, 2008; Collins, 2009).<br />

Resistance in insects is often linked (among other<br />

factors) to various fitness traits, such as intrinsic rates of<br />

increase (White and Bell, 1990), the change of rate of<br />

population growth (Fragoso et al., 2005; Haubruge and<br />

Arnaud, 2001), fecundity and male reproductive competition<br />

(Arnaud and Haubruge, 2002). Fragoso et al.<br />

(2005) detected that insect population that are resistant<br />

to pyrethroid showed a reduced rate of population growth<br />

compared with other populations. However, Haubruge<br />

and Arnaud (2001) suggested that resistant population<br />

did not always involve decreased fitness. Therefore, the<br />

growth rate of insect populations was fundamental to<br />

insecticide resistance management.<br />

The aim of this study was to detect the phosphineresistance<br />

status of R. dominica populations in China.<br />

Understanding the level of resistance to phosphine and<br />

assessing the instantaneous rate of population increase<br />

(ri) would be very useful toward the development of an<br />

appropriate strategy for resistance management of this<br />

pest.<br />

MATERIALS AND METHODS<br />

16 populations of R. dominica were collected <strong>from</strong> ten provinces<br />

and one municipality in China between May, 2007 and October,<br />

2008 (Table 1). Geographical distribution of R. dominica<br />

populations sampled in China includes: Shandong, He’nan, Hebei,<br />

Hubei, Guangdong, Sichuan, Jiangxi, Anhui, Guizhou, Hu’nan<br />

provinces and Chongqing municipality. The cities <strong>from</strong> which<br />

samples were obtained are as follows; Zhucheng (ZC), Xuchang<br />

(XC), Handan (HD), Changsha (XN), Hefei (ZG), Gaoan (GA),<br />

Wuhan (HP), Anlu (AL), Shayang (SY), Xiangfan (XF), Chongqing<br />

(BN), Chongqing (BB), Luzhou (LZ), Guiyang (GY), Yangchun (YC)<br />

and Jiangmen (JM). The sparseness of these locations with their<br />

latitude and longitude coordinates, and the type of grain storage<br />

facilities are shown in Figure 1 and Table 1, respectively. BB, LZ,<br />

HD, GY, HP, AL, XF and SY populations were collected <strong>from</strong><br />

national storage facilities. ZC population came <strong>from</strong> wheat<br />

processing industry. BN, XN and ZG populations were collected<br />

<strong>from</strong> rice processing industry, while XC, YC, JM and GA populations<br />

were <strong>from</strong> local storage.<br />

The 16 populations and standard susceptible population of R.<br />

dominica studied were then reared on cracked wheat grains (13 ±<br />

1% moisture content) free of insecticide residues. The temperature<br />

in the rearing chamber was maintained at 30 ± 1°C and 75 ± 5%<br />

relative humidity. Non-sexed adults of R. dominica (14 to 21-day<br />

old) were used in phosphine resistance assays.<br />

Phosphine bioassays<br />

Fumigation of adult R. dominica was based on the FAO standard<br />

method (FAO, 1975) and it took place in a controlled temperature<br />

and relative humidity chamber (25°C, 70% rh). Phosphine was<br />

obtained by a reaction of Zinc phosphide (Ji’ning City Yimin<br />

Chemical Plant, China) in acidified water (10% sulfuric acid). The<br />

concentration of the phosphine was always tested before the<br />

bioassays. Depending on the mortality at these concentrations,<br />

higher or lower concentration (at least 5 to 8 concentration) was


Figure 1. Distribution of R. dominica collection sites across China.<br />

used to estimate the concentration-mortality curves after preliminary<br />

tests. Test adults were held in a perforated metallic tube closed with<br />

rubber stoppers and secured with adhesive tape inside modified<br />

gas desiccators. Gas was injected with micro-syringes through a<br />

septum in the lid of each desiccator. After 20 h of fumigation, test<br />

insects were transferred into glass tubes with cracked wheat, and<br />

were kept for 14 days (25°C, 70% rh). The mortality was then<br />

recorded. Each treatment was repeated three times.<br />

Instantaneous rate of population growth (ri)<br />

The instantaneous rate of increase (ri) test was carried out in 250<br />

ml glass conical flask with 40 g cracked wheat. Each conical flask<br />

was infested with 20 non-sexed R. dominica adults (14 to 21- day<br />

old) and maintained at 30 ± 1°C, 75 ± 5% rh. Then, the conical flask<br />

was covered with a ventilated cloth. The number of surviving adults<br />

was counted after 60 days, and the instantaneous rate of increase<br />

in each population was calculated as follows:<br />

ri = ㏑ (Nf / N0) / Δt<br />

Where, Nf is the final number of observed live adults; N0 is the initial<br />

number of R. dominica and Δt is the duration of the experiment<br />

(Walthall and Stark, 1997; Pimentel et al., 2007).<br />

Three replicates were used for each population in this test.<br />

Data analysis<br />

The concentration-mortality data were analyzed <strong>using</strong> probit<br />

program software, where probit-transformed mortality was<br />

regressed against Log10-transformed dose (SPSS16.0). The<br />

instantaneous rate of population increase (ri) were subjected to<br />

analysis of variance (P 0.05)<br />

<strong>from</strong> the bioassay observed values (Table 2). The logit<br />

model was therefore appropriate to be used for concentration-mortality<br />

analysis. The concentration-mortality<br />

curves indicated that 5 populations of R. dominica (ZC,<br />

GY, XN, BN and ZG) exhibited low resistant to phosphine<br />

(RF value < 10-fold), while 6 populations (LZ, BB, HP,<br />

HD, JM and XF) were mo-derately resistant (10-fold < RF<br />

value < 100-fold). AL, SY, YC GA and XC populations<br />

showed high resistance (>100-fold) (Table 2).


16370 Afr. J. Biotechnol.<br />

Table 2. Relative toxicity to phosphine of sixteen populations of R. dominica.<br />

Population Slope ± SE a LC50 (95% CL) (mg/L) LC95 (95% CL) (mg/L) X 2 P RF b<br />

SCS c 2.518±0.222 0.007(0.006-0.009) 0.033(0.022-0.064) 9.687 0.085 -----<br />

ZC 1.893±0.165 0.017(0.012-0.023) 0.124(0.076-0.293) 9.837 0.080 2.429<br />

GY 1.464±0.110 0.030(0.020-0.042) 0.395(0.229-0.935) 9.024 0.108 4.286<br />

XN 1.090±0.129 0.033(0.021-0.048) 1.068(0.584-2.661) 0.965 0.810 4.714<br />

BN 2.573±0.202 0.037(0.029-0.047) 0.162(0.109-0.321) 7.154 0.128 5.286<br />

ZG 1.020±0.091 0.066(0.046-0.093) 2.723(1.487-6.203) 6.291 0.178 9.429<br />

LZ 0.975±0.129 0.120(0.059-0.228) 5.870(1.671-131.673) 8.658 0.124 17.143<br />

BB 1.044±0.085 0.155(0.107-0.215) 5.816(3.583-10.901) 5.701 0.223 22.143<br />

HP 0.932±0.108 0.282(0.165-0.419) 16.414(8.944-40.849) 4.750 0.314 40.286<br />

HD 1.653±0.182 0.302(0.137-0.518) 2.992(1.359-25.555) 6.344 0.096 43.143<br />

JM 1.536±0.112 0.327(0.269-0.397) 3.850(2.703-6.071) 6.198 0.287 46.714<br />

XF 1.551±0.239 0.338(0.208-0.467) 3.882(2.459-8.489) 5.091 0.165 48.286<br />

AL 1.169±0.100 0.903(0.606-1.389) 23.040(10.06-94.899) 13.620 0.058 129.000<br />

SY 1.397±0.149 0.913(0.757-1.125) 13.744(8.030-30.818) 3.530 0.473 130.429<br />

YC 1.453±0.282 1.349(0.859-1.993) 18.293(8.697-87.505) 5.523 0.238 192.714<br />

GA 2.276±0.208 1.826(1.565-2.114) 9.640(7.340-14.039) 2.894 0.408 260.857<br />

XC 6.650±0.897 4.272 (3.876-4.595) 7.550(6.795-8.918) 3.382 0.336 610.286<br />

a SEM = Standard error of mean, b RF = resistance factor (LC50 of resistant population/ LC50 of sensitive population, c = standard<br />

susceptible population.<br />

Majority of the slopes of the concentration-mortality<br />

curves were similar among the populations of R.<br />

dominica, except for BN, GA and XC populations. Among<br />

these three populations, BN population showed lowresistance,<br />

while GA and XC populations had high-resistance.<br />

These results indicate that the resistance of R.<br />

dominica populations was not associated with the slopes<br />

of the concentration-mortality curves. Furthermore, response<br />

curves <strong>from</strong> all populations except XC had low<br />

slope values, indicating that there was high heterogeneity<br />

in these populations.<br />

The populations were ranked in order of RF values; the<br />

populations <strong>from</strong> processing facilities cluster near the top,<br />

then the national storage populations and the populations<br />

<strong>from</strong> local storage. The average RF for processing facileties,<br />

national storages and local storage were 5.465, 61.<br />

490 and 277.643, respectively. This result indicates that<br />

resistance is connected with the type of grain storage.<br />

Instantaneous rate of population increase (ri)<br />

The instantaneous rate of population increase (ri) was<br />

used to assess the fitness disadvantage associated with<br />

phosphine in the absence of the fumigant. There was<br />

significant variation in ri among populations of R.<br />

dominica (F15, 32 = 64.423, P < 0.001). The ri curve was<br />

fitted <strong>using</strong> exponential regression curve (y = 0.037e -<br />

0.005X , R 2 = 0.937; F1, 14 = 209.488, P < 0.001).<br />

R. dominica populations with high ri showed low<br />

resistance factor (RF for LC50), while low ri presented<br />

high RF value (Figure 2). This indicated that the<br />

existence of fitness costs (ri) was connected with the<br />

resistance of phosphine in R. dominica population.<br />

DISCUSSION<br />

A global survey undertaken by the FAO in 1972/1973<br />

showed that about 10% of investigated populations<br />

contained phosphine resistant insects, including a R.<br />

dominica population collected <strong>from</strong> Keelung of Taipei,<br />

China (Champ and Dyte, 1976). The earliest phosphine<br />

resistance in Chinese populations of R. dominica was<br />

reported by the Guangdong Institute of Cereal Science<br />

Research in 1976 (Zeng, 1996). In this study, all 16<br />

populations of R. dominica were identified as phosphine<br />

resistant strains. Of the 16 populations, 31.25% were low<br />

resistant, 37.5% were moderately resistant, while 31.25%<br />

were highly resistant. XC population showed the highest<br />

resistance to phosphine, and the RF value was 610.286.<br />

The results therefore reveal the seriousness of the<br />

problems of phosphine resistance in China.<br />

Response curves with low slopes are correlated with<br />

high levels of heterogeneity, suggesting a high variation<br />

in response to phosphine in treated populations (Lorini et<br />

al., 2007). The low slope of the response curves for all<br />

but the XC population indicated that there was high heterogeneity<br />

in the tested populations and that there is high<br />

variation in response to phosphine in these samples.<br />

Some populations of R. dominica (HP, AL, SY and YC)<br />

showed high LC95 value (Table 2), revealing that these


Figure 2. The instantaneous rate of population increase ( ri) for R. domininca as a function of<br />

resistance factor (RF value for LC50). Curve was fitted <strong>using</strong> Exponential regression curve (y = 0.037e -<br />

0.005X , R 2 = 0.937; F1,14 = 209.488, P


16372 Afr. J. Biotechnol.<br />

samples. We would like to thank Zhang-Hong Shi for his<br />

advice on data analysis. This work was partially<br />

supported by China Postdoctoral Science Foundation,<br />

China National Science and Technology Project of the<br />

11th Five-Year Plan (2006BAD02A18-03 and<br />

2006BAI09B04-06) and Hubei Key Project of Science<br />

and Technology.<br />

REFERENCES<br />

Ahmedani MS, Khaliq A, Aslam M, Naz S, Ahmedani MY (2006).<br />

Fumigation technique used in house type godowns for the<br />

management of resistant Trogoderma granarium larvae. Pak. J. Arid<br />

Agric., 9: 5-11.<br />

Ahmedani MS, Shaheen N, Ahmedani MY, Aslam M (2007). Status of<br />

phosphine resistance in Khapra beetle, Trogoderma granarium<br />

(Everts) strains collected <strong>from</strong> remote villages of rawalpindi district.<br />

Pak. Entomol., 29: 95-102.<br />

Alam MS, Shaukat SS, Ahmed M, Iqbal S, Ahmad A (1999). A survey of<br />

resistance to phosphine in some coleopterous pests of stored wheat<br />

and rice grain in Pakistan. Pak. J. Biol. Sci., 2: 623-626.<br />

Ansell MR, Dyte CE, Smith RH (1990). The inheritance of phosphine<br />

resistance in Rhyzopertha dominica and Tribolium castaneum. In:<br />

Fleurat-Lessard F, Ducom P (Eds.) Proceedings of the 5 th Int.<br />

Working Conference on Stored-product Protection. Paris France, pp:<br />

961-970.<br />

Arnaud L, Haubruge E (2002). Insecticide resistance enhances male<br />

reproductive success in a beetle. Evolution, 56: 2435-2444.<br />

Athie I, Mills KA (2005). Resistance to phosphine in stored-grain insect<br />

pests in Brazil. Braz. J. Food Technol., 8: 143-147.<br />

Bengston M, Acda MA, Daglish GJ, Collins PJ (1999). Phosphine<br />

resistance in the Asia/Australia region. In: Jin Z, Liang Q, Tan X,<br />

Guan L (eds.), Stored product protection. Proc. 7 th Int. Working<br />

Conference on Stored-product Protection, Beijing, China. Chengdu:<br />

Sichuan Pub. House of Sci.Technol., pp: 631-634.<br />

Benhalima H (1988). The detection and measurement of resistance to<br />

phosphine in three species of insect pests of stored cereals: S.<br />

oryzae, R. dominica and T. castaneum. (M.Sc. dissertation). Univ.<br />

Edinburgh, Scotland, UK.<br />

Benhalima H, Chaudhry MQ, Mills KA, Price NR (2004). Phosphine<br />

resistance in stored-product insects collected <strong>from</strong> various grain<br />

storage facilities in Morocco. J. Stored Prod. Res., 40: 241-249.<br />

Birch LC (1945a). The mortality of the immature stages of Calandra<br />

oryzae L (Coleoptera: Curculionidae) (small stain) and Rhyzopertha<br />

dominica (F) (Coleoptera: Bostrychidae) in wheat of different<br />

moisture content. Aust. J. Exp. Biolo. Med. Sci., 23: 141-145.<br />

Birch LC (1945b). The influence of temperature humidity and density on<br />

the oviposition of the small stain of Calandra oryzae L (Coleoptera:<br />

Curculionidae) (small stain) and Rhyzopertha dominica (F)<br />

(Coleoptera: Bostrychidae). Aust. J. Exp. Biol. Med. Sci., 23: 197-<br />

203.<br />

Borah G, Chahal BS (1979). Development of resistance, in Trogoderma<br />

granarium Everts to phosphine in the Punjab. FAO Plant Prot. Bull.<br />

27: 77-80.<br />

Bui CH (1999). Some initial results on phosphine resistance of major<br />

product insect pests in Vietnam. In: Jin Z, Liang Q, Tan X, Guan L<br />

(eds.), Stored product protection. Proceedings of the 7 th International<br />

Working Conference on Stored-product Protection, Beijing, China.<br />

Chengdu: Sichuan Pub. House of Sci. Technol., pp: 648-652.<br />

Cao Y (2006). Survey of the resistance of stored-grain pests to<br />

phosphine in China. J. Henan Univ. Technol. (Natural sci. edition) (in<br />

Chinese with English abst.). 27(1): 1-6.<br />

Cao Y, Song Y, Sun G (2003). A survey of psocid species infesting<br />

stored grain in China and resistance to phosphine in field populations<br />

of Liposcelis entomophila (Enderlein) (Psocoptera: Liposcelididae).<br />

In: Credland PF, Armitage DM, Bell CH, Cogan PM, Highley E. (eds.),<br />

Advances in stored product protection. Wallingford, CAB int., pp: 662-<br />

667.<br />

Champ BR, Dyte CE (1976). Report of the FAO global survey of<br />

pesticide susceptibility of stored grain pest. Food and Agriculture<br />

Organization of the United Nations. Rome. Series: FAO plant<br />

production and protection series; 5: 260-297.<br />

Champ BR, Dyte CE (1977). Fao global survey of pesticide<br />

susceptibility of Stored Grain Pests. FAO Plant Protection Bulletin.<br />

25: 49-67.<br />

Chaudhry MQ (2000). Phosphine resistance: a growing threat to an<br />

ideal fumigant. Pesticide Outlook. June 2000: 88-91.<br />

Collins P (2009). Strategy to manage resistance to phosphine in the<br />

Australian grain industry. CRC Plant Biosecurity. 1-13.<br />

Collins PJ (1998). Resistance to grain protectants and fumigants in<br />

insect pests of stored products in Australia. In: Banks HJM Wright EJ,<br />

Damcevski KA. [ed.,] Stored grain in Australia Canberra, CSIRO<br />

Stored Grain Res. Lab., pp: 55-57.<br />

Collins PJ, Daglish GJ, Pavic H, Kopittke RA (2005). Response of<br />

mixed-age cultures of phosphine-resistant and susceptible strains of<br />

lesser grain borer, Rhyzopertha dominica, to phosphine at a range of<br />

concentrations and exposure periods. J. Stored Prod. Res., 41: 373-<br />

385.<br />

FAO (1975). Recommended methods for the detection and<br />

measurement of resistance of agricultural pests to pesticides. 16:<br />

Tentative method for adults of some stored cereals, with methyl<br />

bromide and phosphine. FAO Plant Prot. Bull., 23:12-25.<br />

Fragoso DB, Guedes RNC, Peternelli LA (2005). Developmental rates<br />

and population growth of insecticide-resistant and susceptible<br />

populations of Sitophilus zeamais. J. Stored Prod. Res., 41: 271-281.<br />

Haubruge E, Arnaud A (2001). Fitness consequences of malathionspecific<br />

resistance in red flour beetle (Coleoptera: Tenebrionidae) and<br />

selection for resistance in the absence of malathion. J. Econ<br />

Entomol., 94: 552-557.<br />

Haubruge E, Arnaud L, Mignon J (1997). The impact of sperm<br />

precedence in malathion resistance transmission in populations of<br />

the red flour beetle Tribolium castaneum (Herbst) (Coleoptera:<br />

Tenebrionidae). J. Stored Prod. Res., 33: 143-146.<br />

Lan SB (2006). Study on farm grain storage in China. 9 th International<br />

Working Conference on Stored Product Protection, Brazil, pp: 47-52.<br />

Leong ECW, Ho SH (1994). Relative tolerance of Liposcelis<br />

bostrychophila (Bad) and L-entomophila (End) to some<br />

organophosphorus and carbamate insecticides. Insect Science and<br />

Its Application. 15: 343-349.<br />

Longstaff BC (1991). An experimental study of the fitness of susceptible<br />

and resistant strains of Sitophilus oryzae (L.)<br />

(Coleoptera:Curculionidae) exposed to insecticide. J. Stored Prod.<br />

Res., 27:75-82.<br />

Lorini I, Collins PJ (2006). Resistance to phosphine in Rethzopertha<br />

dominica (F.) (Coleoptera: Bostrychidae) collected <strong>from</strong> wheat<br />

storages in Brazil. 9 th International Working Conference on Stored<br />

Product Protection. Brazil, pp: 319-323.<br />

Lorini I, Collins PJ, Daglish GJ, Nayak MK, Pavic H (2007). Detection<br />

and characterization of strong resistance to phosphine in Brazilian<br />

Rhyzopertha dominica (F.) (Coleoptera: Bostrychidae). Pest Manag.<br />

Sci. 63: 358-364.<br />

Lorini I, Galley DJ (1999). Deltamethrin resistance in Rhyzopertha<br />

dominica (F.) (Coleoptera: Bostrichidae), a pest of stored grain in<br />

Brazil. J. Stored Prod. Res., 35: 37-45.<br />

Mills KA, Athie I (2001). Control of immature stages of Sitophilus oryzae<br />

(L.) strains susceptible and resistant to phosphine by phosphine<br />

fumigation. Braz. J. Food Technol., 3: 171-176.<br />

Nayak MK, Collins PJ (2008). Influence of concentration, temperature<br />

and humidity on the toxicity of phosphine to the strongly phosphineresistant<br />

psocid Liposcellis bostrychophila Badonnel (Psocoptera:<br />

Liposcelididae). Pest Manag. Sci., 64(9): 971-976.<br />

Nayak MK, Collins PJ, Pavic H (2002). Resistance to phosphine in<br />

psocids: Challenges ahead!, In: Wright EJ, Banks HJ, Highley E.<br />

(eds.), Proc. of the 2nd Australian Postharvest Technical Conference,<br />

August 1-4, 2000. Adelaide, Aust., pp: 113-118.<br />

Nayak MK, Collins PJ, Pavic H. Cao Y (2003). Developments in<br />

phosphine resistance in China and possible implications for Australia.<br />

In: Wright MC, Webb MC, Highley E (eds.), Stored grain in Australia<br />

(2003), Proceedings of the Australian Postharvest Technical<br />

Conference, Canberra, 25-27 June 2003. CSIRO Stored Grain Res.<br />

Lab. Canberra.


Pacheco IA, Sartori MR, Taylor RWD (1990). Survey of resistance of<br />

insect pests of stored grain to phosphine in the State of San Paulo.<br />

Collection of ITAL, 20: 144-154.<br />

Pimentel MAG, Faroni LRD’A, Silva FH, Batista MD, Guedes RNC<br />

(2010). Spread of phosphine resistance among Brazilian populations<br />

of thee species of stored product insects. Neotrop. Entomol., 39(1):<br />

101-107.<br />

Pimentel MAG, Faroni LRD’A, Tótola MR, Guedes RNC (2007).<br />

Phosphine resistance, respiration rate and fitness consequences in<br />

stored-product insects. Pest Manag. Sci. 63: 876-881.<br />

Price LA, Mills KA (1988). The toxicity of phosphine to the immature<br />

stages of resistant and susceptible strains of some common stored<br />

product beetles, and implications for their control. J. Stored Prod.<br />

Res., 24: 51-59.<br />

Ristaino J, Thomas W (1998). Agriculture, methyl bromide, and the<br />

ozone hole: can we fill the gap? Plant Dis. 81: 964-977.<br />

Savoldelli S, Süss L (2008). Preliminary investigations about tolerance<br />

to phosphine in Tribolium strains (Coleoptera: Tenebrionidae) in Italy.<br />

IOBC/WPRS Bulletin. 40: 313-317.<br />

Tubiello FN, Soussana JF, Howden SM (2007). Crop and pasture<br />

response to climate change. Proc. Natl. Academy of Sci. the United<br />

States of Am., 104: 19686-19690.<br />

Valmas N, Ebert PR (2006). Comparative toxicity of fumigants and a<br />

phosphine synergist <strong>using</strong> a novel containment chamber for the safe<br />

generation of concentrated phosphine gas. PLoS ONE. PLoS ONE<br />

1(1): e130. doi:10.1371/j. pone.0000130.<br />

Walthall WK, Stark JD (1997). A comparison of acute mortality and<br />

population growth rate as endpoints of toxicological effect. Ecotoxicol.<br />

Environ., Safe. 37: 45-52.<br />

Song et al. 16373<br />

Wang D, Qin Z, Song W (2002). LS/T1201-2002 Fumigation Regulation<br />

of Phosphine Recirculation. The Standard of State Administration of<br />

Grain. Beijing: Standard Pub. House of China.<br />

White NDG, Bell RJ (1990). Relative fitness of a malathion-resistant<br />

strain of Cryptolestes ferrugineus (Coleoptera: Cucujidae) when<br />

development and oviposition occur in malathion-treated and<br />

untreated wheat kernels. J. Stored Prod. Res., 26: 23-37.<br />

World Meteorological Organization (WMO) (1995). Scientific<br />

assessment of ozone depletion: 1994, World Meteorological<br />

Organization global ozone research and monitoring project. Report<br />

No. 37.<br />

Yan XP, Li WW, Liu ZW, Qin ZG, Wu XQ, Song YC, Shen ZP (2004).<br />

Investigation of phosphine-resistance in major stored grain insects in<br />

china. Grain storage (in Chinese with English abstract). 32: 17-25.<br />

Zeng L (1996). The advance of phosphine resistance in stored grain<br />

insects (in Chinese with English abstract). Natural Enemies of Insects<br />

(supplement). 18: 37-41.<br />

Zeng L (1999). Development and countermeasures of phosphine<br />

resistance in stored grain insects in Guangdong of China. In: Jin Z,<br />

Liang Q, Tan X and Guan L (eds.), Stored product protection:<br />

Proceedings of the 7 th International Working Conference on Storedproduct<br />

Protection, Beijing, China. Chengdu: Sichuan Pub. House of<br />

Sci. Technol., pp. 642-647.


African Journal of Biotechnology Vol. 10(72), pp. 16374-16378, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.1684<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Contribution to the knowledge of Gnaphosidae<br />

(Arachnida: Araneae) in Turkey<br />

Adile Akpınar, Ismail Varol*, Faruk Kutbay and Bilal Taşdemır<br />

Faculty of Arts and Sciences, University of Gaziantep, Gaziantep, 27310, Turkey.<br />

Accepted 30 September, 2011<br />

In this study, some additions were made on arachnofauna in Turkey. We recorded Drassodex Murphy,<br />

2007 genus and six gnaphosid species: Drassodex hypocrita (Simon, 1878), Drassodes cupreus<br />

(Blackwall, 1834), Echemus angustifrons (Westring, 1861), Setaphis gomerae (Schmidt, 1981),<br />

Trachyzelotes fuscipes (L. Koch, 1866) and Zelotes hermani (Chyzer, 1897), for the first time in Turkey.<br />

Also, we colleced specimens <strong>from</strong> Kahramanmaraş and Adiyaman provinces, between April 2007 and<br />

May 2009. The characteristic features, distributions, ecologies, genital structures, identification keys of<br />

these species were described according to literature.<br />

Key words: Araneae, Cithaeronidae, Cithaeron praedonicus, Turkey, Middle East.<br />

INTRODUCTION<br />

Gnaphosid spiders have been recognized by their<br />

abdomen, eyes and spinnerets. The abdomen varies in<br />

colour <strong>from</strong> greyish to black and is elongated in shape.<br />

The posterior median eyes are oval or elliptical in shape.<br />

Spinnerets are cylindrical in shape, the anterior pairs are<br />

widely separated and usually project <strong>from</strong> the posterior<br />

end of the abdomen. They are nocturnal hunters.<br />

Gnaphosidae is one of the familiar families of spiders in<br />

Turkey. There are many researchers carrying out detailed<br />

study on this family, their systematics, faunistics and<br />

ecologic features. It is one of the biggest spider families.<br />

In this family, 2123 species of Gnaphosidae (Pocock,<br />

1898c) and 117 genera have been described to date<br />

(Platnick, 2011, version: 12). Some of the researchers<br />

that studied gnaphosid species are: Varol (1996, 2001),<br />

Bayram (2007), Topçu et al. (2005), Varol et al. (2006),<br />

Ozdemir et al. (2006), (Seyyar and Demir, 2010, Seyyar<br />

et al. 2008, Seyyar, 2009) and Kovblyuk et al. (2009).<br />

Particularly, Seyyar et al. (2008) have a checklist of<br />

Gnaphosidae <strong>from</strong> Turkey, which have 107 species<br />

belonging to 26 genera. This paper presents the first<br />

record of genus Drassodex Murphy, 2007 and six<br />

*Corresponding author. E-mail: varol@gantep.edu.tr.<br />

Abbreviations: AM, Anterior median eye; AL, anterior lateral<br />

eye; PM, posterior median eye; PL, posterior lateral eye; P,<br />

pedipalp; C, clypeus; LE, largest eyes; SE, smallest eyes; rt,<br />

retrolateral; v, ventral.<br />

gnaphosid species <strong>from</strong> Turkey.<br />

MATERIALS AND METHODS<br />

Specimens were collected <strong>from</strong> Adiyaman and Kahramanmaraş<br />

provinces in Turkey between years 2007 and 2009. They were<br />

primarily gathered on manual searching and were preserved in 70%<br />

ethanol before they were identified. Afterwards, drawings were<br />

made under a SZX12 Olympus stereomicroscope.<br />

In the diagnosis of the spider species collected <strong>from</strong> the research<br />

area, the following literature by Simon (1932), Nentwig et al. (2011),<br />

Muster and Thaler (2003), Logunov (1996) and Roberts (1995)<br />

were used, and the studied specimens were deposited in the<br />

Arachnology Museum of the University of Gaziantep. However, all<br />

measurements were done in millimetres.<br />

RESULTS<br />

Drassodex Murphy, 2007<br />

These species are small spiders. The prosoma is light<br />

brown, while the opisthosoma is lighter brown or grey and<br />

it is mottled. The eyes distinctively stand in a darker area.<br />

One type of these species is Drassodes hypocrita<br />

(Simon, 1878). However, this genus was first recorded in<br />

Turkey (Seyyar et al., 2008).<br />

Drassodex hypocrita (Simon, 1878) (Figure 2a)<br />

Material: The material used were obtained <strong>from</strong> Büyük<br />

Çamurlu village (37° 54' N, 36° 23' E), 1461 m,<br />

31.07.2008 (1♀) in Göksun district, Kahramanmaraş


province, Turkey. The spider was found in an open space<br />

in the forest, while a locality of the specimen was found<br />

close to the stream around Abies trees.<br />

Female: The total length for females is 5.29. Its carapace<br />

is 2.05 long and 1.70 wide. Its abdomen has a length of<br />

3.24 and a width of 2.35. However, the lengths of the<br />

female’s legs and pedipalp are: I-[(1.31 + 0.61 + 0.71 +<br />

0.67+0.56) 3.86], II-[(1.38 + 0.46 + 0.70 + 0.57+0.76)<br />

3.87], III-[(1.20 + 0.44 + 0.78 + 0.81 + 0.76) 3.99], IV-<br />

[(1.29 + 0.52 + 0.93 + 0.81 + 0.78) 4.33], P-[(0.56 + 0.29<br />

+ 0.33 + 0.51) 1.69].<br />

Description: The prosoma, especially, is light brown to<br />

brown, but the distal leg segments and the eye regions<br />

are darker. However, the opisthosoma is light brown,<br />

while the vulva is convoluted with entrance ducts<br />

(Nentwig et al., 2011).<br />

General distributions: They are generally distributed in<br />

Russia and Europe (Platnick, 2011).<br />

Drassodes cupreus (Blackwall, 1834) (Figure 1a and<br />

b)<br />

Material: The material used were obtained <strong>from</strong><br />

Çuhadarli village ( 37° 34' N, 36° 28' E), 1275 m,<br />

02.05.2009 (1♂) in Andirin district; Yarbaşi village (37°<br />

28' N , 37° 13' E), 852 m, 18.05.2008 (1♂) in Pazarcik<br />

district; and Alanli village (37° 32' N, 36° 29' E), 637 m,<br />

02.05.2009 (1♂) in Andirin district, Kahramanmaraş<br />

province, Turkey. The spiders were found under stones.<br />

The first specimen was found close to the stream of<br />

Karasu, the second specimen was found close to<br />

Kartalkaya dam and its river, and the last specimen was<br />

found close to the Karasu stream, as well.<br />

Male: The total length of the male species is 8.11. Its<br />

carapace is 3.77 in length and 2.75 in width. Its abdomen<br />

has a length of 4.34 and a width of 2.46. The lengths of<br />

the species’ legs and pedipalp are: I- [(3.21 + 1.63 + 3.34<br />

+ 2.53 + 2.12) 12.83], II- [(3.35 + 1.58 + 3.03 + 2.64 +<br />

2.09) 12.69], III- [(2.72 + 0.84 + 2.34 + 2.11 + 1.67) 9.68],<br />

IV- [(4.01 + 1.06 + 3.26 + 4.17 + 2.12) 14.62), P- [(0.83 +<br />

0.48 + 0.94 + 1.03) 3.28]. However, the dimension of the<br />

eyes is: AM 0.20, AL 0.67, PM 0.23, PL 1.05, AM-AM<br />

0.02, AM-AL 0.01, PM-PM 0.01, PM-PL 0.26, AM-PM<br />

0.22, AL-PL 0.32. AM-C 0.17, AL-C 0.14. LE (PM), SE<br />

(AM).<br />

Description: This species’ prosoma is yellow-brown,<br />

while the eye region is darker. The chelicerae is darker<br />

than the overall colour and it has 3 teeth. The<br />

opisthosoma is light to yellow-brown, while the male<br />

pedipalp is seen as figs.<br />

General distributions: It is generally distributed as<br />

Palaearctic ducts (Nentwig et al. 2011; Platnick, 2011).<br />

Echemus angustifrons (Westring, 1861) (Figure 2c)<br />

Material: The material used were obtained <strong>from</strong> Tanir<br />

Akpınar et al. 16375<br />

town (38° 25' N 36° 55' E), 1282 m, 15.04.2007 (1♀ ) in<br />

Afşin district, Kahramanmaraş province, Turkey. In this<br />

study, the specimens were found under stones on the<br />

orchard of Prunus avium.<br />

Female: The total length of the female species is 11.01.<br />

Its carapace is 8.08 in length and 6.46 in width. Its<br />

abdomen has a length of 2.93 and a width of 1.85. The<br />

lengths of the species’ legs and pedipalp are: I- [(2.49 +<br />

0.78 + 2.03 + 1.18 + 1.06) 7.54], II- [(2.34 + 7.3 + 1.89 +<br />

1.11 + 1.05) 13.69], III- [(1.55 + 0.89 + 1.33 + 1.24 +<br />

1.06) 6.07], IV- [(2.20 + 1.07 + 2.36 + 1.62 + 1.46) 8.71],<br />

P- [(0.95 + 0.32 + 0.42 + 0.85) 2.54]. However, the<br />

dimension of the species’ eyes is: AM 0.23, AL 0.63, PM<br />

0.11, PL 0.98, AM-AM 0.23, AM-AL 0.09, PM-PM 0.01,<br />

PM-PL 0.30, AM-PM 0.06, AL-PL 0.19. AM-C 0.22, AL-C<br />

0.45. LE (PM), SE (AM).<br />

Description: The prosoma has darker hairs than the<br />

opisthosoma. The distal leg segments are darker than the<br />

body colour, which varies <strong>from</strong> light orange to light brown.<br />

Nevertheless, the opisthosoma is grey in colour, and its<br />

abdomen is without scutum; although the epigynum has a<br />

wide hood and septum, while the spermathecae have<br />

recurved anterior lobes.<br />

General distributions: It is generally distributed in<br />

Central Asia to Europe (Platnick, 2011).<br />

Setaphis gomerae (Schmidt, 1981) (Figure 1c and d)<br />

Material: The material used were obtained <strong>from</strong><br />

Altinyayla village (37° 43' N, 36° 29' E), 1260 m,<br />

03.05.2009 (1♂) in Andirin district, Kahramanmaraş<br />

province; and <strong>from</strong> Serince village (38° 05' N, 38° 36' E),<br />

1533 m, 26.05.2007 (1♂) in Sincik district; cross road<br />

Hacihalil and Kuyucak villages (37° 40' N, 38° 16' E),<br />

614 m, 27.04.2008 (1♂) in Besni district; and Gözebaşi<br />

village (37° 46' N, 38° 23' E), 644 m, 27.04.2008 (1♂) in<br />

City center, Adiyaman province, Turkey. The specimens<br />

were found usually under stones or pieces of dried mud,<br />

and sometimes they were found in fens on heaths.<br />

Male: The total length of the male species is 4.6. Its<br />

carapace is 1.95 in length and 1.64 in width. Its abdomen<br />

has a length of 2.30 and a width of 1.36. The lengths of<br />

the species’ legs and pedipalp are: I- [(1.07 + 0.68 + 1.17<br />

+ 0.82 + 0.57) 4.31], II- [(0.68 + 0.46 + 0.76 + 0.70 +<br />

0.51) 3.11], III- [(0.76 + 0.40 + 0.81 + 0.84 + 0.69) 3.5],<br />

IV- [(0.83 + 0.59 + 1.48 + 1.25 + 0.52) 4.67], P- [(1.25 +<br />

0.44 + 0.33 + 5.57) 7.59]. However, the dimension of the<br />

eyes is: AM 0.11, AL 0.31, PM 0.09, PL 0.52, AM-AM<br />

0.11, AM-AL 0.08, PM-PM 0.09, PM-PL 0.6, AM-PM<br />

0.21, AL-PL 0.18. AM-C 0.22, AL-C 0.49. LE (PM), SE<br />

(AM).<br />

Description: The males can be recognized by the short<br />

projection restricted to the retrolateral side of the terminal<br />

apophysis. They have the metatarsal preening comb that<br />

is characteristic of zelotines, in addition to a distinctively<br />

coiled embolus in males. The typically enlarged, nearly


16376 Afr. J. Biotechnol.<br />

a b<br />

c d<br />

e f<br />

Figure 1. (a) Right view and (b) ventral view of Drassodes cupreus (Blackwall, 1834); (c)<br />

ventral view; (d) right view of Setaphis gomarea (Schmidt, 1981); (e) right view and (f)<br />

ventral view of Zelotes hermani (Chyzer, 1897). They all show the left male palp, while the<br />

scale lines are 0.5 mm.


a b<br />

c<br />

Akpınar et al. 16377<br />

Figure 2. (a) Drassodex hypocrita (Simon, 1878); (b) Trachyzelotes fuscipes (L. Koch, 1866); (c) Echemus<br />

angustifrons (Westring, 1861). They all show the ventral view of epigyne, while the scale lines are 0.5 mm.<br />

contiguous posterior median eyes suggest that Setaphis<br />

is more closely related to Camillina and Drassyllus than<br />

to Zelotes (Platnick and Murphy, 1996).<br />

General distributions: The species is generally<br />

distributed in Canary Island (Platnick and Murphy, 1996).<br />

Trachyzelotes fuscipes (L. Koch, 1866) (Figure 2b)<br />

Material: The material used were obtained <strong>from</strong> the<br />

cross roads of Boztepe and Sariharman villages (37° 43'<br />

N, 38° 27' E), 634 m, 26.04.2008 (1♀) in the city center of<br />

Adiyaman province, Turkey. The spider was found under<br />

pieces of chalk close to the open space of the forest.<br />

Female: The total length of the female species is 4.6. Its<br />

carapace is 1.83 in length and 1.37 in width. Its abdomen<br />

has a length of 2.76 and a width of 1.64. The lengths of<br />

the species’ legs and pedipalp are: I- [(1.09 + 0.61 + 0.96<br />

+ 0.73 + 0.61) 4.01], II- [(1.04 + 0.41 + 0.75 + 0.57 +<br />

0.57) 3.35], III- [(0.75 + 0.27 + 0.57 + 0.60 + 0.43) 2.62],<br />

IV- [(1.10 + 0.36 + 1.04 + 0.60 + 0.40) 3.51], P- [(0.29 +<br />

0.18 + 0.25 + 0.49) 1.21]. However, the dimension of the<br />

eyes is: AM 0.03, AL 0.07, PM 0.12, PL 0.06, AM-AM<br />

0.08, AM-AL 0.06, PM-PM 0.08, PM-PL 0.06, AM-PM<br />

0.11, AL-PL 0.09. AM-C 0.05, AL-C 0.03. LE (PM), SE<br />

(AM).<br />

Description: The species’ carapace is yellow and brown<br />

in colour, while the opisthosoma is grey-dark brown in<br />

colour. The eyes and chelicera are dark brown; though<br />

the setas of the chelicera are clannish. The femur, patella<br />

and tibia are darker than the metatarsus and tarsus. The<br />

epigynal upper lateral margin is sclerotised and the<br />

lateral parts are pointed, whereas the vulva has an<br />

evident curve and its spermathecal duct is oval.<br />

General distributions: It is generally distributed <strong>from</strong> the<br />

Mediterranean to Central Asia, USA (Platnick, 2011).<br />

Zelotes hermani (Chyzer, 1897) (Figure 1e and f)<br />

Material: The material used were obtained <strong>from</strong> the city<br />

center of Kayatepe village (37° 51' N, 38° 15' E), 974 m,<br />

27.04.2008 (1♂), Adiyaman province, Turkey. The<br />

spiders were found running under the sun among loose<br />

stones.<br />

Male: The total length of the male spider species’ is 3.08.<br />

Its carapace is 1.71 in length and 1.40 in width. Its<br />

abdomen has a length of 1.37 and a width of 0.77. The<br />

lengths of the species’ legs and pedipalp are: I- [(1.19 +<br />

0.36 + 0.81 + 0.71 + 0.62) 3.76], II- [(0.91 + 0.40 + 0.79 +<br />

0.65 + 0.58) 3.34], III- [(0.81 + 0.39 + 0.44 + 0.54 + 0.51)<br />

2.70], IV- [(1.18 + 0.52 + 0.89 + 1.09 + 0.62) 4.29], P-<br />

[(0.27 + 0.26 + 0,19 + 0.67) 1.39]. However, the<br />

dimension of the eyes is completely unmeasured.


16378 Afr. J. Biotechnol.<br />

Description: The carapace is dark brown to black,<br />

though its edge is darker, while the opisthosoma is black<br />

in colour. The legs are yellowish in colour and the femur,<br />

patella and tibia of the species’ (I-II) legs are darker than<br />

other leg segments. However, the tibial apophysis are<br />

long and slightly oblique, while the embolus are short and<br />

broad.<br />

General distributions: The species is generally<br />

distributed <strong>from</strong> Russia to Central Europe (Platnick,<br />

2011).<br />

ACKNOWLEDGEMENTS<br />

The authors acknowledge the Scientific Research<br />

Projects Unit of the University of Gaziantep (Project<br />

No.FEF.10.06) for financially supporting this work.<br />

However, some of the data used in this study were<br />

extracted <strong>from</strong> the doctoral thesis of the first author.<br />

REFERENCES<br />

Bayram A (2007). The Checklist of the Spiders of Turkey (Araneae;<br />

Arachnida). Online version:<br />

http://www.spidersofturkey.com/viewpage.php? p. 46<br />

Kovblyuk M, Seyyar O, Demir H, Topçu A (2009). New taxonomic and<br />

faunistic data on the gnaphosid spiders of Turkey (Aranei:<br />

Gnaphosidae). Arthropoda Selecta. 18(3-4): 169-187.<br />

Nentwig W, Blick T, Gloor D, Hänggi A, Kropf C (2011). Spiders of<br />

Europe, Version 6. Online version: www.araneae.unibe.ch.<br />

Özdemir A, Varol I, Akan Z, Kütük M, Kutbay F, Özaslan M (2006). The<br />

Fauna of Spider (Araneae) in the Nizip and Karkamış – Gaziantep<br />

(Turkey). Biotechnol. Biotechnol. Equipment, 20 (1): 74-77.<br />

Platnick N (2011). The World Spider Catalog, Version 12.0. Online<br />

version: http://research.amnh.org./iz/spiders/catalog/index.html<br />

Platnick N, Murphy JA (1996). Review of the Zelotine Ground Spider<br />

Genus Setaphis (Araneae, Gnaphosidae). Am. Mus. Novit. 3162: 1-<br />

23.<br />

Roberts MJ (1995). Spiders of Great Britain and Northern Europe.<br />

Collins, Harley Books. Cochester. p. 682.<br />

Seyyar O (2009). Ground spiders (Araneae:Gnaphosidae) fauna of the<br />

East Mediterranean Region of Turkey. University of Erciyes, Science<br />

Enstitute, Kayseri, p. 166.<br />

Seyyar O, Ayyıldız N, Topçu A (2008). Updated Checklist of Ground<br />

Spiders (Araneae: Gnaphosidae) of Turkey, With Zoogeographical<br />

and Faunastic Remarks, Ent. News, 119(5): 509-520.<br />

Seyyar O, Demir H (2010). New Records of ground spiders <strong>from</strong> Turkey<br />

(Aranea: Gnaphosidae). Serket, 12(1): 13-16.<br />

Topçu A, Demir H, Seyyar O (2005). A Checklist of the Spiders of<br />

Turkey. Serket. 9(4): 109-140.<br />

Varol Mİ (1996). Investigation of taxonomy Lycosidae, Gnaphosidae<br />

and Clubionidae fauna of the Van lake basin (Ordo: Araneae).<br />

University of Yüzüncü Yıl, Science Enstitute, Van, p. 76.<br />

Varol Mİ (2006). Spider List of Turkey. Online version:<br />

http://www1.gantep.edu.tr/~varol/tr/asil_tr.htm<br />

Varol Mİ (2001). The fauna, ecology and systematics of the groundliving<br />

spiders in the Northeast Anatolia Region (Arachnida: Araneae).<br />

University of Yüzüncü Yıl, Science Enstitute, Van, p. 147.


African Journal of Biotechnology Vol. 10(72), pp. 16379-16386, 11 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.876<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

A new endophytic taxol- and baccatin III-producing<br />

fungus isolated <strong>from</strong> Taxus chinensis var. mairei<br />

Yechun Wang 1,2 and Kexuan Tang 1 *<br />

1 Plant Biotechnology Research Center, School of Agriculture and Biology, Fudan-SJTU-Nottingham Plant Biotechnology<br />

R&D Center, Shanghai Jiao Tong University, Shanghai 200240, PR China.<br />

2 Current address: Donald Danforth Plant Science Center, 975 North Warson Road, Saint Louis, MO 63132, USA.<br />

Accepted 8 July, 2011<br />

120 endophytic fungi were isolated <strong>from</strong> the old inner bark of Taxus chinensis var. mairei and only a<br />

fungus was detected to produce Taxol and related taxanes in potato dextrose agar (PDA) medium. The<br />

presence of taxol and baccatin III was confirmed by high performance liquid chromatography combined<br />

with mass spectrometry (LC-MS) and competitive inhibition enzyme immunoassay (CIEIA). The fungal<br />

compound showed cytotoxic activity on liver cancer cell line BEL7402 in vitro. The strain was identified<br />

as one of Didymostilbe sp. (designated as DF110) according to its morphological characteristics. The<br />

isolation of such fungi provided a promising alternative approach to producing taxol in the near future.<br />

Key words: Taxol, baccatin III, endophytic fungus, Didymostilbe sp.<br />

INTRODUCTION<br />

The tricyclic diterpene taxol, a highly effective anticancer<br />

drug originally isolated <strong>from</strong> the bark of Taxus brevifolia<br />

(Wani et al., 1971), has been employed for the treatment<br />

of a variety of cancers. With increasing applications in<br />

clinical use and scientific research, there is an urgent<br />

need of Taxol than ever. However, the isolation of taxol<br />

<strong>from</strong> the tree bark is limited on account of the relative<br />

scarcity of yew and extremely low content of taxol in the<br />

plant. To solve such a problem, other attempts such as<br />

tissue culture (Christen et al., 1989; Hu et al., 2003) and<br />

chemical synthesis (Baloglu and Kingston, 1999; Holton<br />

et al., 1995; Nicolaou et al., 1994) etc., have been made<br />

to produce the drug. In addition, a great deal of efforts<br />

have been focused on the isolation of endophytic<br />

taxol-producing fungi since an exciting progress of the<br />

first taxol-producing fungus, Taxomyces andreanae, had<br />

been discovered in T. brevifolia (Stierle et al., 1993).<br />

Subsequently, many other endophytic taxol-producing<br />

*Corresponding author. E-mail: kxtang1@yahoo.com,<br />

kxtang1@163.com. Tel: 86-21-34206916. Fax: 86-21-34206916.<br />

fungi were reported (Guo et al., 2006; Kumaran et<br />

al.,2011; Li et al., 1998, 1996; Liu et al., 2009; Metz et<br />

al., 2000; Shrestha et al., 2001; Soca-Chafre et al.,<br />

2011;Strobel et al., 1996; Wang et al., 2000, 2007; Zhao<br />

et al., 2009; Zhou et al., 2010). The isolation of such fungi<br />

bring a new promising way for the production of taxol by<br />

fermentation techniques, which have a lower cost<br />

compared to other methods.<br />

In our previous report, we disclosed the discovery of an<br />

endophytic fungus BT2 being capable of producing taxol<br />

and taxane baccatin III <strong>from</strong> the old inner bark of Taxus<br />

chinensis var. mairei (Guo et al., 2006; Wang et al., 2007).<br />

In this study, we reported another newly isolated<br />

endophytic taxol- and baccatin III- producing fungus.<br />

Furthermore, its biological activity was also tested against<br />

liver cancer cell line.<br />

MATERIALS AND METHODS<br />

Isolation of endophytic fungus <strong>from</strong> T. chinensis var. mairei and<br />

its identification<br />

The fungus used in this study was isolated <strong>from</strong> the old inner bark of<br />

T. chinensis var. mairei, which grows in Sichuan province,<br />

Southwest China. After the bark was cut into small pieces of about


16380 Afr. J. Biotechnol.<br />

0.25 cm 2 , these pieces were treated with 70% (v/v) ethanol for 5 min,<br />

and then rinsed three times with distilled water; the water was<br />

allowed to evaporate and then the outer black bark was removed off<br />

with a sterilized sharp blade. Small pieces of the inner bark were<br />

placed on the surface of water agar (2% g/v) in Petri plates and<br />

incubated at 25°C in the dark. After several days, fungi were<br />

observed growing <strong>from</strong> the inner bark fragments in the plates.<br />

Individual hyphal tips of the various fungi were transferred to new<br />

potato dextrose agar (PDA) medium and incubated at 25°C for one<br />

week. The same way was repeated 5 times for fungus purity. The<br />

endophytic fungus was identified according to its morphological<br />

characteristics (Barnett and Hunter, 1977).<br />

Fungal culturing and taxane isolation<br />

The endophytic fungus strain DF110 was grown in 1-L Erlenmeyer<br />

flasks containing 250 ml PDA liquid medium. The fungus was<br />

incubated at 25°C with shaking (140 rpm) for three weeks. Then the<br />

entire culture medium and mycelia were collected, respectively,<br />

through four layers of cheesecloth. The mycelia were re-suspended<br />

by 100 ml methanol and ultrasonicated for 15 to 20 min on ice, then<br />

centrifuged to collect the supernatant. The culture medium were<br />

blended well and extracted with equal volume of methylene chloride<br />

twice, and the organic phase was finally mixed with the mycelia<br />

supernatant. The mixtures were taken to dryness under reduced<br />

pressure at 50°C and the residue was dissolved in 1 ml methanol<br />

and the insoluble materials were removed off by centrifugation<br />

(12000 g) for 30 min at 4°C. The supernatant was filtered through a<br />

0.2 μm polymeric filter prior to HPLC analysis.<br />

LC-MS analyses<br />

After purification, samples were analyzed by a Perkin-Elmer HPLC<br />

ISS 200 system combined with a Hewlett-Packard Series 1100 MSD<br />

system. The column was an Alltech Econosil C18. Mass spectra<br />

were acquired in positive ion mode. Samples in 10 μl of methanol<br />

were injected and eluted with 0.8 ml/min with a starting gradient<br />

<strong>from</strong> 40 : 60 (v/v) H2O : methanol for 10 min, then eluted with 100%<br />

methanol for 20 min, and finally with 40:60 (v/v) H2O : methanol for<br />

10 min. A variable wavelength recorder set at 230 nm was used to<br />

detect taxol and baccatin III eluting <strong>from</strong> the column.<br />

ELISA<br />

A competitive inhibition enzyme immunoassay (CIEIA) kit (Hawaii<br />

Biotech Inc) was employed for the detection of taxol and baccatin III<br />

(Grothaus et al., 1993).The assay is sensitive to about 1 ng/ml. The<br />

assay was carried out <strong>using</strong> Taxane Immunoassay Kits (TA02,<br />

specific for Taxol; TA03, specific for baccatin III. Hawaii Biotech Inc)<br />

according to the procedure recommended by the suppliers.<br />

Cytotoxicity study<br />

The liver cancer cell line BEL7402 was used to evaluate the<br />

biological effect of the fungal crude extraction. The procedures were<br />

performed as follows: Cancer cells were placed in a 96-well plate of<br />

3×10 4 per well and cultured at 37°C for 10 h, and then aliquots (100<br />

µl) of the fungal extraction were added into the 96-well plate at 37°C<br />

for 48 h, meanwhile, aliquots of 50 µg/ml authentic taxol were added<br />

as a positive control. Another fungal extraction which did not<br />

produce taxol was also added as negative control. After incubation<br />

for 48 h, the activity of cancer cells was observed by <strong>using</strong><br />

microscope.<br />

RESULTS<br />

Identification of the fungus<br />

Colonies of strain DF110 grew and extended more rapidly<br />

on PDA medium under 25°C. The mycelium surface is<br />

approximately lanose and eggshell yellow when young<br />

and forms many yellow brown to dark green conidial<br />

areas when it matures; reverse of colonies becoming<br />

golden leaf’s yellow. Conidiophores are commonly 125 to<br />

375 µm in length and with diameter 2.8 to 3.0 µm,<br />

colorless, a part branched and some of them become light<br />

yellow in age. There are complex Penicilli on the top of<br />

conidiophores. Some of sterigmata show thin rod,<br />

commonly 7.5 to 25 µm by 1.5 to 2 µm. Conidia is usually<br />

elliptical or rod, a few oval, commonly 4 to 7.3 µm by 2.3<br />

to 3.3 µm, usually forming a septum in age, and many of<br />

them are usually gathered into a drop of water. Some of<br />

conidiophores are usually gathered into synnemata. The<br />

strain DF110 was different <strong>from</strong> that of the endophytic<br />

taxol-producing fungi previously reported, and was<br />

identified as Didymostilbe sp. according to its<br />

morphological characteristics (Barnett and Hunter, 1977)<br />

and was named DF110 (Figure 1).<br />

LC-MS identified taxol and baccatin III in the fungal<br />

compound<br />

A total of 120 fungi were isolated <strong>from</strong> the old inner bark<br />

of T. chinensis var. mairei, but only strain DF110 was<br />

observed to produce taxol and baccatin III by LC-MS. The<br />

fungal compound produced a peak at 6.769 min when<br />

eluting <strong>from</strong> the C18 column, with approximate same<br />

retention time (6.798 min) as authentic baccatin III (Figure<br />

2). However, the fungal compound has not appeared<br />

apparent peak at about the same retention time (15.2 min)<br />

as authentic taxol, probably due to the low level of taxol in<br />

this sample. So amplified 10-L fluid culture medium and<br />

mycelia were prepared and processed by methylene<br />

chloride and methanol by <strong>using</strong> the method described in<br />

material and methods. Finally, the residue was dissolved<br />

in 500 µl methanol and volume of 100 µl was used to<br />

detect the existence of taxol on HPLC and the rest for<br />

cytotoxicity assay. The results show that the fungal<br />

compound had a peak at 15.2 min corresponding to<br />

authentic taxol retention time (data no shown). Further<br />

convincing mass spectroscopic evidence for the identity of<br />

Taxol and baccatin III was obtained by mass<br />

spectroscopy (Figure 3). Characteristically, authentic taxol<br />

produced electrospray mass spectrum, with the major<br />

molecular ion being (M+H) + = 854, (M+Na) + = 876 and<br />

(M+K) + = 892, and authentic baccatin III yielded the major<br />

molecular ion being (M+H) + = 587, (M+Na) + = 609 and<br />

(M+K) + = 625 (Stierle et al., 1993). By comparison, the<br />

fungal compound also yielded a similar electrospray mass<br />

spectrum as authentic taxol and baccatin III, respectively.<br />

The content of baccatin III was calculated as about 8 to 15


Wang and Tang 16381<br />

Figure 1. Morphological observation of Didymostilbe sp. strain DF110. A: Colonies of strain DF110 on PDA plate after<br />

30-day incubation at 25°C; B: Conidia of strain DF110; C: Penicilli and conidiophore of strain DF110; D: Synnemata and<br />

Penicillus of strain DF110; E: The conidia of strain DF110 on the top of Penicillus.<br />

µg per litre culture. However, the content of taxol was not<br />

precise quantified due to the low level of taxol under the<br />

HPLC quantification limit.<br />

Taxol and baccatin III immunoassays<br />

The competitive inhibition enzyme immunoassay (CIEIA)<br />

method was generally used to screen for the presence of<br />

taxanes in crude fungal extracts (Guillemard et al., 1999;<br />

Guo et al., 2006; Li et al., 1998; Stierle et al., 1993). In<br />

order to confirm reliability of the aforementioned results,<br />

taxol and baccatin III assays in the sample were carried<br />

out by <strong>using</strong> a taxane Immunoassay Kits. The test <strong>using</strong><br />

specific monoclonal antibody TA02 and TA03 gave<br />

positive results, respectively.<br />

The anticancer activities study<br />

The cytotoxicity of the fungal compound was also studied,<br />

which showed that the fungal compound had an obvious


16382 Afr. J. Biotechnol.<br />

A<br />

B<br />

Figure 2. HPLC analysis of the fungus DF110 product (A) and of authentic baccatin III (retention time = 6.7 ± 0.1 min) (B).


A<br />

A<br />

Ion’s relative abundance (%)<br />

Ion’s relative abundance (%)<br />

B<br />

Wang and Tang 16383<br />

Figure 3. Combined reverse-phase HPLC-atmospheric pressure chemical ionization mass spectrum analysis of authentic<br />

baccatin III (retention time = 6.7 ± 0.1 min; (A) and of the fungal baccatin III (retention time = 6.7 ± 0.1 min; (B). The<br />

diagnostic mass spectral fragment ions are at m/z (M+H) + = 587, (M+Na) + = 609, and (M+K) + = 625; the mass spectra of<br />

authentic taxol (C) and fungal taxol (D) (retention time = 15.2 ± 0.1 min). The diagnostic mass spectral fragment ions are at<br />

m/z (M+H) + = 854, 609 (M+Na) + = 876, and (M+K) + = 892.


16384 Afr. J. Biotechnol.<br />

C<br />

Ion’s relative abundance (%)<br />

D<br />

Ion’s relative abundance (%)<br />

Figure 3. Contd.<br />

cytotoxic effect on the liver cancer cell line BEL7402<br />

(Figure 4). The negative control had a little cytotoxicity to<br />

cancer cell line BEL7402 because the sample used in this<br />

test was mixtures. We speculated that some components<br />

had a little cytotoxicity on the liver cancer cells BEL7402<br />

in the negative control.<br />

DISCUSSION<br />

Since the first endophytic taxol-producing fungus was<br />

Figure 3<br />

reported in 1993, great progresses on this field have been<br />

obtained. Although, the production of taxol by most<br />

endophytic fungi is relatively low compared with that of the<br />

taxus trees, the fungi have the short generation time and<br />

high growth rate; what’s more, genetic manipulation of<br />

fungi is achieved more easily than that of plants, so it may<br />

be easier to improve the taxol production with the help of<br />

genetic engineering. Improving the culturing techniques<br />

and the application of genetic engineering may improve<br />

taxol and baccatin III production (Demain, 1981; Stierle et<br />

al., 1993). Strain DF110 is different <strong>from</strong> the previous


Wang and Tang 16385<br />

Figure 4. The microscope observation of the liver cancer cells BEL7402 treated with drug. (A) No addition. (B) 50 μg/ml<br />

authentic taxol. (C) No-taxol production fungal compound. (D) The fungus DF110 compound.<br />

reported endophytic taxol-producing fungi. Although, the<br />

fungus produces low level of taxol, the amounts of<br />

baccatin III are about 8 to 15 µg/L culture. Baccatin III is<br />

an important staring material in taxol semi-synthesis<br />

(Baloglu and Kingston, 1999). Presently, most of the taxol<br />

for clinical use is produced by the chemical semi-synthetic<br />

approach (Holton et al., 1995). However, the extraction<br />

and isolation of the precursors is relatively complex and<br />

low yield <strong>from</strong> taxus tissues, depending on epigenetic and<br />

environmental factors (Vidensek et al., 1990; Wheeler et<br />

al., 1992). Therefore, this increases the urgent need for<br />

baccatin III as a starting material to synthesize taxol and<br />

taxotere, a synthetic analog with anticancer activity similar<br />

to taxol (Holton et al., 1995). Studies are in progress to<br />

transfer the key genes of taxol biosynthetic pathway into<br />

the fungus by restriction enzyme-mediated integration<br />

(REMI) technique, with an aim of obtaining stable fungal<br />

transformants with high productivity of taxol and baccatin<br />

III. UP to date, some fungal transformants have been<br />

obtained (unpublished). So the strain DF110 may be<br />

applied as staring material in taxol semi-synthesis and the<br />

fungus may be a candidate for exploring taxol biosynthetic<br />

pathway in fungi.<br />

In conclusion, the combined LC-MS, immunochemical<br />

and cytotoxicity test suggest that the strain DF110<br />

produces taxol and baccatin III. By optimizing culturing<br />

conditions and genetic manipulation, the fungus may be<br />

an alternative candidate for the production of taxol and<br />

baccatin III by fermentation technology under our efforts<br />

in the near future.<br />

ACKNOWLEDGEMENTS<br />

This work was funded by China National “863” High-tech<br />

Program, China Ministry of Education and Shanghai<br />

Science and Technology Committee. The authors would<br />

like to thank Ms. Ping TAO (Instrumental Analysis and<br />

Test Center, Shanghai Jiaotong University, China) for<br />

LC-MS analysis.<br />

REFERENCES<br />

Baloglu E, Kingston DG (1999). A new semisynthesis of paclitaxel <strong>from</strong><br />

baccatin III. J. Nat. Prod. 62: 1068-1071.<br />

Barnett HL, Hunter BB (1977). Illustrated Genera of Imperfect Fungi, 3rd<br />

edn edn. China. Scientific. Press, Beijing.<br />

Christen AA, Bland J, Gibson DM (1989) cultures as a means to produce<br />

Taxol. Proc. Am. Assoc. Cancer Res. 30: p. 566.


16386 Afr. J. Biotechnol.<br />

Demain AL (1981). Industrial microbiology. Science, 214: 987-995.<br />

Grothaus PG, Raybould TJ, Bignami GS, Lazo CB, Byrnes JB (1993).<br />

An enzyme immunoassay for the determination of taxol and taxanes<br />

in Taxus sp. tissues and human plasma. J. Immunol. Methods, 158:<br />

5-15<br />

Guillemard V, Bicamumpaka C, Boucher N, Page M (1999).<br />

Development of a very sensitive luminescence assay for the<br />

measurement of paclitaxel and related taxanes. Anticancer Res. 19:<br />

5127-5130<br />

Guo BH, Wang YC, Zhou XW, Hu K, Tan F, Miao ZQ, Tang KX (2006).<br />

An endophytic Taxol-producing fungus BT2 isolated <strong>from</strong> Taxus<br />

chinensis var. mairei. Afr. J. Biotechnol. 5: 875-877.<br />

Holton RA, Biediger RJ, Boatman PD (1995). Semisynthesis of taxol and<br />

taxotere. In: Suffness M (ed) In Taxol Science and Applications. CRC<br />

Press, Boca Raton, pp. 97-121.<br />

Hu YM, Gan FY, Lu CH, Ding HS, Shen YM (2003). Production of Taxol<br />

and related taxanes by cell suspension cultures of Taxus yunnanensis.<br />

Acta. Bot. Sin. 45: 373-378.<br />

Kumaran RC, Jung H, Kim HJ (2011). In vitro screening of taxol, an<br />

anticancer drug produced by the fungus, Colletotrichum capsici. Eng.<br />

Life Sci. 11: 264-271.<br />

Li JY, Sidhu RS, Ford EJ, Long DM, Hess WM, Strobel GA (1998). The<br />

induction of taxol production in the endophytic fungus-Periconia sp<br />

<strong>from</strong> Torreya grandifolia. J. Ind. Microbiol. Biotechnol. 20: 259-264.<br />

Li JY, Strobel G, Sidhu R, Hess WM, Ford EJ (1996). Endophytic<br />

taxol-producing fungi <strong>from</strong> bald cypress, Taxodium distichum.<br />

Microbiology, 142 (8): 2223-2226.<br />

Liu K, Ding X, Deng B, Chen W (2009). Isolation and characterization of<br />

endophytic taxol-producing fungi <strong>from</strong> Taxus chinensis. J. Ind.<br />

Microbiol. Biotechnol. 36: 1171-1177.<br />

Metz AM, Haddad A, Worapong J, Long DM, Ford EJ, Hess WM, Strobel<br />

GA (2000). Induction of the sexual stage of Pestalotiopsis microspora,<br />

a taxol-producing fungus. Microbiology, 146(8): 2079-2089.<br />

Nicolaou KC, Yang Z, Liu JJ, Ueno H, Nantermet PG, Guy RK,<br />

Claiborne CF, Renaud J, Couladouros EA, Paulvannan K, Sorensen<br />

EJ (1994). Total synthesis of taxol. Nature, 367: 630-634.<br />

Shrestha K, Strobel GA, Shrivastava SP, Gewali MB (2001). Evidence<br />

for paclitaxel <strong>from</strong> three new endophytic fungi of Himalayan yew of<br />

Nepal. Planta Med. 67: 374-376.<br />

Soca-Chafre G, Rivera-Orduna FN, Hidalgo-Lara ME,<br />

Hernandez-Rodriguez C, Marsch R, Flores-Cotera LB (2011).<br />

Molecular phylogeny and paclitaxel screening of fungal endophytes<br />

<strong>from</strong> Taxus globosa. Fungal Biol. 115: 143-156.<br />

Stierle A, Strobel G, Stierle D (1993). Taxol and taxane production by<br />

Taxomyces andreanae, an endophytic fungus of Pacific yew. Science,<br />

260: 214-216.<br />

Strobel G, Yang X, Sears J, Kramer R, Sidhu RS, Hess WM (1996).<br />

Taxol <strong>from</strong> Pestalotiopsis microspora, an endophytic fungus of Taxus<br />

wallachiana. Microbiology, 142(2): 435-440.<br />

Vidensek N, Lim P, Campbell A, Carlson C (1990). Taxol content in bark,<br />

wood, root, leaf, twig, and seedling <strong>from</strong> several Taxus species. J. Nat.<br />

Prod. 53: 1609-1610.<br />

Wang J, Li G, Lu H, Zheng Z, Huang Y, Su W (2000). Taxol <strong>from</strong><br />

Tubercularia sp. strain TF5, an endophytic fungus of Taxus mairei.<br />

FEMS Microbiol. Lett. 193: 249-253.<br />

Wang Y, Guo B, Miao Z, Tang K (2007). Transformation of<br />

taxol-producing endophytic fungi by restriction enzyme-mediated<br />

integration (REMI). FEMS Microbiol. Lett. 273: 253-259.<br />

Wani MC, Taylor HL, Wall ME, Coggon P, McPhail AT (1971). Plant<br />

antitumor agents. VI. The isolation and structure of taxol, a novel<br />

antileukemic and antitumor agent <strong>from</strong> Taxus brevifolia. J. Am. Chem.<br />

Soc. 93: 2325-2327.<br />

Wheeler NC, Jech K, Masters S, Brobst SW, Alvarado AB, Hoover AJ,<br />

Snader KM (1992). Effects of genetic, epigenetic, and environmental<br />

factors on taxol content in Taxus brevifolia and related species. J. Nat.<br />

Prod. 55: 432-440.<br />

Zhao K, Ping W, Li Q, Hao S, Zhao L, Gao T, Zhou D (2009). Aspergillus<br />

niger var. taxi, a new species variant of taxol-producing fungus<br />

isolated <strong>from</strong> Taxus cuspidata in China. J. Appl. Microbiol. 107:<br />

1202-1207.


African Journal of Biotechnology Vol. 10(72), pp. 16387-16392, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2052<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Heart dysfunction and fibrosis in rat treated with<br />

myocardial ischemia and reperfusion<br />

Cheng-Han Huang 1 , Yi-Ming Huang 2 , Yung-Sheng Tseng 2 , Wei-Chi Lee 3 , Jui-Te Wu 2 , Zhi-Jia<br />

Zheng 2 and Hsi-Tien Wu 1 *<br />

1 Department of Bioagricultural Science, National Chia Yi University, Chiayi, 60004, Taiwan.<br />

2 Department of Veterinary Medicine, National Chia Yi University, Chiayi, 60004, Taiwan.<br />

3 Animal Science Technology Service and Pathology Section Head, Animal Production Technical Division, Uni-President<br />

Enterprises Corp, Tainan, 72046, Taiwan.<br />

Accepted 30 September, 2011<br />

Because cardiovascular disease remains a serious problem in modern human society, the aim of this<br />

study was to establish the rat model animal and to compare the heart dysfunction and fibrosis with SD<br />

and LE rats when treated with myocardial ischemia and reperfusion operation. A 20-minute thoracotomy<br />

was performed on the rat at the left anterior descending coronary artery occlusion; then the perfusion<br />

was carried out. The left ventricular diastolic diameter and left ventricular systolic diameter (LVEDd and<br />

LVEDs) were both reduced in LE and SD rats after surgery. Compared with the sham group, the<br />

performance of the left ventricular fractional shortening (LVFS) significantly decreased, indicating<br />

systolic dysfunction was affected after surgery, and SD was significantly higher than LE at LVFS<br />

decreasing rate. The significant areas of collagen fibers were detected by Masson's tri-chrome staining<br />

after surgery. These results suggest that SD rat is more suitable than LE rat for successful<br />

establishment of the model of myocardial ischemia and reperfusion. Also, the rat model can provide<br />

good experimental materials for regenerative medicine and drug testing to enhance research results in<br />

the future.<br />

Key words: Myocardial infarction, myocardial ischemia and reperfusion, animal model.<br />

INTRODUCTION<br />

Cardiovascular diseases, especially coronary artery<br />

disease, are the leading cause of mortality and morbidity<br />

worldwide (Samadikuchaksaraei, 2006; Venardos et al.,<br />

2007). The effect of myocardial infarction (MI) primarily<br />

caused by coronary artery obstruction results in heart<br />

damage and death associated with myocardial cells<br />

(Thygesen et al., 2007). Even if other heart tissue is not<br />

affected by coronary artery blockage, heart failure may<br />

still result, perhaps because the burden is finally too great<br />

*Corresponding author. E-mail: htwu@mail.ncyu.edu.tw. Tel:<br />

+886-5-2717767. Fax: +886-5-2717755.<br />

Abbreviations: LVEDd, Left ventricular diastolic diameter;<br />

LVEDs, left ventricular systolic diameter; LVFS, left ventricular<br />

fractional shortening; MI, myocardial infarction; NRC, United<br />

States National Research Council; LAD, left anterior<br />

descending artery; FS%, fractional shortening.<br />

(Camici and Crea, 2007). Because of scar- and ischemia-<br />

related postinfarction events, clinical manifestations are<br />

enormous and heterogeneous. The damaged left ventricle<br />

undergoes progressive “remodeling” and chamber<br />

dilation with myocyte slippage and fibroblast proliferation.<br />

These events reflect an apparent lack of effective intrinsic<br />

mechanisms for myocardial repair and regeneration<br />

(Minguell and Erices, 2006).<br />

Atherosclerosis with thrombus accumulated in the<br />

coronary artery causes MI (Hansson, 2005; Insull, 2009).<br />

Because of its high metabolic rate, the myocardium<br />

undergoes irreversible injury within 20 min of ischemia,<br />

which begins in the inner layers and moves toward the<br />

outer layers, resulting in the death of large numbers of<br />

myocardial cells over a 3 to 6 h period (Michael et al.,<br />

1995). Although, cardiomyocytes are the most vulnerable<br />

cells, ischemia also kills vascular cells, fibroblasts, and<br />

nerves in the tissue. Myocardial necrosis causes severe<br />

inflammation, and millions of marrow-derived leukocytes


16388 Afr. J. Biotechnol.<br />

enter the infarct region (Dobaczewski et al., 2010). The<br />

macrophages phagocytose the necrotic cell debris and<br />

lead to the subsequent healing of the wounds. Before<br />

they become scabs, they form a granulation tissue, which<br />

contains a proliferation of fibroblasts and endothelial<br />

cells, around the infarct area and the surrounding tissue.<br />

Ultimately, granulation tissue remodels to form densely<br />

collagenous scar tissue (Laflamme and Murry, 2005). The<br />

repair process of myocardial infarction in humans<br />

requires 2 months to complete; in small experimental<br />

animals, such as mice or rats, the process occurs much<br />

faster.<br />

Various animal studies have shown that myocardial<br />

ischemia after reperfusion generates a complex series of<br />

inflammatory reactions (Michael et al., 1995). The heart<br />

function can be recovered through heart reperfusion<br />

when the ischemia occurs in less than 20 min. This step<br />

will not lead to myocardial necrosis but may cause<br />

temporary heart stunning. Cell necrosis amplifies <strong>from</strong><br />

the subendocardium to subepicardium continuously when<br />

the coronal artery occlusion lasts longer than 20 min<br />

(Virmani et al., 1992). Myocardial ischemia and reperfusion<br />

in the myocardium lead to serious inflammation in<br />

the cardiac tissue, damaging and weakening the ventricular<br />

function and possibly leading eventually to<br />

ventricular hypokinesis, akinesis, or dyskinesis (Pfeffer<br />

and Braunwald, 1990).<br />

Medical scientists have studied coronary artery disease<br />

for decades, yet deaths caused by MI and related<br />

cardiovascular diseases continue to have serious impact<br />

in modern society (Venardos et al., 2007). Thus,<br />

choosing a suitable animal model provides good test<br />

material for MI and helps in clinical studies that may be<br />

needed before the development of pharmaceutical preparations.<br />

Appropriate animal model can also provides<br />

good material for regenerative medicine and cell therapy<br />

research in MI and reperfusion. Thus, the aim of this<br />

study was to establish the rat model animal and to<br />

compare the heart dysfunction and fibrosis with SD and<br />

LE rats after myocardial ischemia and reperfusion<br />

operation.<br />

MATERIALS AND METHODS<br />

Animals used in the experiment<br />

Eight-week-old male rats were used to establish the MI model<br />

animal. SD rats (Bltw:SD, BioLASCO Taiwan Co., Ltd) and LE rats<br />

(Narl:-LE, National Laboratory Animal Center, NARL Taiwan) were<br />

used for the experiment. The animals were kept in a clean<br />

conventional animal room under air, temperature, and light control.<br />

All animals were maintained, handled, and treated following NRC<br />

guidelines (1996); and the Animal Experimental Ethics Committee<br />

at National Chia Yi University approved all experiments.<br />

Myocardial ischemia and reperfusion operation in the rat<br />

The myocardial ischemia and reperfusion operations were<br />

performed according to procedures described by Michael et al.<br />

(1995) and Patten et al. (1998) with modification. Rats were<br />

anesthetized <strong>using</strong> a mixture of Zoletil (25 mg/kg) and Xylazine (10<br />

mg/kg) via intramuscular injection. With the rats in the supine<br />

position, endotracheal intubation was performed, and they were<br />

ventilated with a small animal respirator (A.D.S. 1000, Engler<br />

Engineering Co., Florida, USA). The chest was opened by a lateral<br />

cut with tenotomy scissors along the left side of the sternum, cutting<br />

through the 4th left ribs to approximately midsternum. The left<br />

anterior descending artery (LAD) ligation proceeded with a sterile 7-<br />

O silk (UNIK surgical sutures mfg. Co., Ltd., Taiwan) slipknot suture<br />

passed with a tapered needle. The blocking time was 20 min.<br />

After occlusion for a prescribed period (20 min), reperfusion<br />

occurred by unblocking the slipknot. This allowed release of the<br />

occlusion and reperfusion of the formerly ischemic bed. The chest<br />

walls were retracted by <strong>using</strong> 4-O silk monofilament suture<br />

(Ethicon, Auneau Co., France). The catheter (24G SURFLO ® IV<br />

catheter, TERUMO, Co., Philippines), which was connected with<br />

the 10 ml syringe and inserted before the chest was sutured, pulled<br />

out the residual air <strong>from</strong> chest; the respirator helped the animal<br />

breathe. The chest wall was then closed, sutured through one layer<br />

of the chest wall and muscle and a second layer through the skin<br />

and subcutaneous material. The rat was kept on a warm pad until<br />

awake. The control (sham) group underwent thoracic surgery but<br />

not vascular ligation of the LAD. The rats were placed in separate<br />

cages in an air conditioned animal room with clean water and diet<br />

for postoperative care.<br />

Histological section and Masson’s trichrome stain<br />

Two weeks after the MI and reperfusion operation, rat hearts were<br />

collected and fixed with 4% paraformaldehyde, followed by<br />

treatment with 70 to 100% ethanol and xylene. Specimens were<br />

embedded in paraffin and sectioned at a thickness of 6 µm via a<br />

microtome. Two slides were stained for each specimen, one with<br />

hematoxylin and eosin, and the other with Masson’s trichrome<br />

stain. Slides were observed with a Leica DM2000 microscope and<br />

digitally photographed (Wood et al., 2010).<br />

Echocardiography<br />

Echocardiographic assessment was performed according to<br />

procedures described by Michael et al. (1995) and Patten et al.<br />

(1998) with slight modification. Echocardiographs were obtained<br />

<strong>using</strong> the Philips SONOS 7500 Ultrasound system (Koninklijke<br />

Philips Electronics N.V.) with 12 MHz frequency transducer, 10 x 13<br />

mm footprint at an image depth of 2 cm. Left ventricular M-mode<br />

measurements at the level of the papillary muscles were used to<br />

define left ventricular end-diastolic diameter (LVEDd) and left<br />

ventricular end-systolic diameter (LVEDs). Fractional shortening<br />

(FS %) was defined as (LVEDd - LVEDs) / LVEDd x 100% (Park et<br />

al., 2010).<br />

Rats were anaesthetized intraperitoneally with a mixture of Zoletil<br />

(25 mg/kg) and Xylazine (10 mg/kg). The hair around the chest was<br />

shaved while the rat was supine and the limbs were fixed by tape.<br />

Echocardiographic assessment was performed 3 days before MI<br />

and reperfusion surgery (baseline) and 2 weeks after surgery (after<br />

treatment).<br />

Statistical analyses<br />

All values of echocardiography are listed as means ± SEM. The<br />

statistical analysis was evaluated with Student’s t-test to measure<br />

difference among means.


Huang et al. 16389<br />

Figure 1. Change of left ventricular end diastolic diameter (LVEDd, A) and left ventricular end systolic diameter (LVEDs, B) before and<br />

after myocardial ischemia and reperfusion surgery. The baseline indicated 3 days before surgery. The after treatment indicated 2<br />

weeks after surgery. The triangle line as LE rats (N=6), the black square line as SD rats (N=6). Data represented centimeters (CM).<br />

RESULT<br />

Echocardiography analysis<br />

In order to evaluate the structure and function of cardiac<br />

contractility, this test was conducted 3 days before MI<br />

and reperfusion surgery and 2 weeks after surgery, <strong>using</strong><br />

the cardiac ultrasound M-mode. Results showed that the<br />

LVEDd and LVEDs of LE and SD rats increased after<br />

surgical treatment (Figure 1). LE rats, LVEDd, baseline,<br />

0.63±0.01 cm; after treatment, 0.67±0.03 cm; SD rats,<br />

LVEDd, baseline, 0.55±0.01 cm; after treatment,<br />

0.60±0.02 cm (Figure 1A). LE rats, LVEDs, baseline,<br />

0.38±0.02 cm; after treatment, 0.41±0.05 cm; SD rats,<br />

LVEDs, baseline, 0.32±0.02 cm; after treatment,<br />

0.40±0.01 cm, P


16390 Afr. J. Biotechnol.<br />

Figure 2. Change of left ventricular shortening fraction (LVFS)<br />

before and after myocardial ischemia and reperfusion<br />

surgery. The baseline indicated 3 days before surgery. The after<br />

treatment indicated 2 weeks after surgery. The circle line as sham<br />

operation group (N=5). The triangle line as LE rats (N=6), the<br />

black square line as SD rats (N=6). Data represented percentage.<br />

Figure 3. Change of left ventricle area after myocardial ischemia and reperfusion surgery. The increased of left ventricular inside<br />

diameter (D) and the loosed of ventricular wall thickness (T) were seen at LE and SD rat that compared with sham group. Cardiac<br />

sections were stained with Masson's trichrome staining. All images were captured at 6.8 x magnification.<br />

fibrosis with SD and LE rats when treated with myocardial<br />

ischemia and reperfusion operation. For accessibility and<br />

stability of performance after the experiment, it is<br />

necessary to find the appropriate rats for the study at the<br />

outset. Two outbred rats, LE and SD, were chosen for<br />

this study to evaluate the individual differences before<br />

and after the operation.<br />

Both SD and LE rats can enter into a stable anesthesia<br />

period under appropriate doses of anesthetics and can<br />

maintain 2 to 3 h until the emergence <strong>from</strong> anesthesia,<br />

which is enough time to complete the operation (Zheng<br />

and Hu, 2006). Using the M-mode on the<br />

echocardiography combined with appropriate ane-sthetic<br />

can stabilize the measurement of cardiac diastolic and<br />

systolic performance (Migrino et al., 2008). After<br />

myocardial infarction, the left ventricular structure<br />

changed as a result of the generated mechanical stretch<br />

and led to increased ventricular wall stress. The result<br />

was a decrease in left ventricular contractility and loss of<br />

its ability to eject blood (Sutton and Sharpe, 2000). After<br />

surgical treatment, compared with LE, SD rats had<br />

obvious differences in left ventricular diastolic and


H and stain<br />

Figure 4. The myocardial fibrosis formation after myocardial ischemia and reperfusion surgery. Pictures<br />

on the left were hematoxylin and eosin (H and E) staining results, pictures on the right were Masson's<br />

trichrome staining results. Blue stain area presented the formation of myocardial fibrosis (arrow<br />

indicated). The orders <strong>from</strong> top to bottom were LE rat, SD rat and the sham group. All images were<br />

captured at 10 X object lens.<br />

systolic diameter. After the MI and reperfusion operation,<br />

on both the SD and LE, caused an increase in left<br />

ventricular diameter, and a reduction in the thickness of<br />

the left ventricular wall. Echocardiography measurements<br />

of SD after surgery were significant, the differences in left<br />

ventricular fractional shortening (LVFS) were more<br />

apparent than in LE. According to the results, the<br />

significant performance indicated the SD rats were more<br />

suitable for myocardial ischemia and reperfusion surgery.<br />

In accordance with the collagen fibers area by<br />

Masson’s trichrome staining, infarct size and distribution<br />

were also obvious. By contrast, the observation of<br />

postoperative ventricular tissue biopsies indicates that<br />

Huang et al. 16391<br />

the SD and LE rats exhibited fibrous tissue hyperplasia<br />

after myocardial self-healing and mild inflammation and<br />

macrophage infiltration in myocardial tissue; however, the<br />

postoperative inflammation and formation of collagen<br />

fibers in SD or LE rats showed no significant difference.<br />

Conclusion<br />

The study compared the heart dysfunction and fibrosis<br />

with SD and LE rats when treated with myocardial<br />

ischemia and reperfusion. From the successful rat model<br />

established, we found out that SD rat is a suitable model


16392 Afr. J. Biotechnol.<br />

animal than LE for myocardial ischemia and reperfusion<br />

studies. Rat heart systolic function weakened significantly<br />

after postoperative recovery and obviously in myocardial<br />

collagen fiber proliferation. This method to establish the<br />

model animal can be used to study drug treatment to<br />

improve the condition of myocardial ischemia, stem cell<br />

therapy research, and regenerative medicine applications,<br />

helping to improve research in cardiac medicine.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by Nation Science Council,<br />

Taiwan (NSC 97-2313-B-415-005-MY3).<br />

REFERENCES<br />

Bader M (2010). Rat models of cardiovascular diseases. Methods Mol.<br />

Biol. 597: 403-414.<br />

Camici PG, Crea F (2007). Coronary microvascular dysfunction. N.<br />

Engl. J. Med. 356: 830-840.<br />

Dobaczewski M, Gonzalez-Quesada C, Frangogiannis NG (2010). The<br />

extracellular matrix as a modulator of the inflammatory and reparative<br />

response following myocardial infarction. J. Mol. Cell. Cardiol. 48:<br />

504-511.<br />

Hansson GK (2005). Inflammation, atherosclerosis, and coronary artery<br />

disease. N. Engl. J. Med. 352: 1685-1695.<br />

Insull Jr. W (2009). The pathology of atherosclerosis: plaque<br />

development and plaque responses to medical treatment. Am. J.<br />

Med. 122: 3-14.<br />

Laflamme MA, Murry CE (2005). Regenerating the heart. Nat.<br />

Biotechnol. 23: 845-856.<br />

Michael LH, Entman ML, Hartley CJ, Youker KA, Zhu J, Hall SR,<br />

Hawkins HK, Berens K, Ballantyne CM (1995). Myocardial ischemia<br />

and reperfusion: a murine model. Am. J. Physiol. 269: H2147-2154.<br />

Migrino RQ, Aggarwal D, Konorev E, Brahmbhatt T, Bright M,<br />

Kalyanaraman B (2008). Early detection of doxorubicin<br />

cardiomyopathy <strong>using</strong> two-dimensional strain echocardiography.<br />

Ultrasound Med. Biol. 34: 208-214.<br />

Minguell JJ, Erices A (2006). Mesenchymal stem cells and the treatment<br />

of cardiac disease. Exp. Biol. Med. 231: 39-49.<br />

Park K, Chang SA, Kim HK, Park HE, Na SH, Kim YJ, Sohn DW, Oh<br />

BH, Park YB (2010). Normal ranges and physiological changes of<br />

midwall fractional shortening in healthy korean population. Korean<br />

Circ. J. 40: 587-592.<br />

Patten RD, Aronovitz MJ, Deras-Mejia L, Pandian NG, Hanak GG, Smith<br />

JJ, Mendelsohn ME, Konstam MA (1998). Ventricular remodeling in a<br />

mouse model of myocardial infarction. Am. J. Physiol. 274: H1812-<br />

1820.<br />

Pfeffer M, Braunwald E (1990). Ventricular remodeling after myocardial<br />

infarction. Experimental observations and clinical implications.<br />

Circulation, 81: 1161-1172.<br />

Samadikuchaksaraei A (2006). Stem cell therapy for acute myocardial<br />

infarction. Hellenic. J. Cardiol. 47: 100-111.<br />

Sutton MG, Sharpe N (2000). Left ventricular remodeling after<br />

myocardial infarction: Pathophysiology and therapy. Circulation, 101:<br />

2981-2988.<br />

Thygesen K, Alpert JS, White HD (2007). Universal definition of<br />

myocardial infarction. Circulation, 116: 2634-2653.<br />

Venardos KM, Perkins A, Headrick J, Kaye DM (2007). Myocardial<br />

ischemia-reperfusion injury, antioxidant enzyme systems, and<br />

selenium: a review. Curr. Med. Chem. 14: 1539-1549.<br />

Virmani R, Kolodgie FD, Forman MB, Farb A, Jones RM (1992).<br />

Reperfusion injury in the ischemic myocardium. Cardiovasc. Pathol.<br />

1: 117-129.<br />

Wood A, Docimo S, Elkowitz DE (2010). Cardiovascular disease and its<br />

association with histological changes of the left stellate ganglion. Clin.<br />

Med. Insights Pathol. 3: 19-24.<br />

Zheng X, Hu SJ (2006). Effects of simvastatin on cardiohemodynamic<br />

responses to ischemia-reperfusion in isolated rat hearts. Heart<br />

Vessels, 21: 116-123.


African Journal of Biotechnology Vol. 10(72), pp. 16393-16401, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2061<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Cardiodepression as a possible mechanism of the<br />

hypotensive effects of the methylene chloride/methanol<br />

leaf extract of Brillantaisia nitens Lindau (Acanthaceae)<br />

in rats<br />

Orelien Sylvain Mtopi Bopda 1 *, Theophile Dimo 2 , Ives Seukep Tonkep 2 , Louis Zapfack 3 ,<br />

Desire Zeufiet Djomeni 2 and Pierre Kamtchouing 2<br />

1 Department of Plant and Animal Sciences, University of Buea, P.O. Box 63 Buea, Cameroon.<br />

2 Department of Animal Biology and Physiology, University of Yaounde I, P.O. Box 812, Yaounde, Cameroon.<br />

3 Department of Vegetal Biology and Physiology, University of Yaounde I, P.O. Box 812, Yaounde, Cameroon.<br />

Accepted 26 September, 2011<br />

Brillantaisia nitens Lindau (Acanthaceae) is traditionally used in Cameroon for the management of<br />

many diseases including cardiovascular disorders. The aim of this study was to demonstrate the<br />

contribution of cardiodepressive activity of methylene chloride/methanol leaf extract of B. nitens to its<br />

hypotensive action in normotensive (NTR) and deoxycorticosterone acetate-salt hypertensive rats<br />

(DSHR). In this study, we used the direct cannulation method for blood pressure measurements and<br />

electrodes for electrocardiogram (ECG). In NTR, the systolic blood pressure dropped by 12.6, 13.8, 22.5<br />

and 39.3% at the doses 5, 10, 20 and 40 mg/kg, respectively. In DSHR, systolic blood pressure<br />

decreased by 13.8, 16.2, 16.3 and 20.4% at the same doses, respectively. B. nitens extract (40 mg/kg)<br />

produced a significant reduction of the heart activity while the blood pressure rapidly dropped. At this<br />

same dose in NTR, B. nitens induced a negative chronotropic effect by ca<strong>using</strong> a 20.59% (p


16394 Afr. J. Biotechnol.<br />

performance is, the higher the blood pressure would be.<br />

In our previous work we reported that a decrease in heart<br />

rate contributes to the hypotensive effect of methylene<br />

chloride/methanol extract of B. nitens in normotensive<br />

and hypertensive rats (Bopda et al., 2007).<br />

The aim of this study was to demonstrate the mechanistic<br />

contribution of cardiodepressive activity of B. nitens<br />

extract to its hypotensive activity on normotensive (NTR)<br />

and deoxycorticosterone acetate-salt hypertensive rats<br />

(DSHR).<br />

MATERIALS AND METHODS<br />

Plant material<br />

Fresh leaves of B. nitens were collected around Yaounde, Centre<br />

Province of Cameroon, in April 2007. The plant material was<br />

identified at the National Herbarium in Yaounde, where a voucher<br />

specimen no HNC/22729 has been deposited. The leaves were airdried<br />

and ground into powder. Air-dried material (1 kg) was<br />

macerated in 7 L of methylene chloride/methanol (v/v) for 48 h and<br />

the solution obtained after filtration was then concentrated in a<br />

rotary evaporator under reduced pressure to obtain a semi-solid<br />

material. The viscous residue thus obtained, was kept at room<br />

temperature for one week to obtain 170 g of a completely dried<br />

solid mass. The extract (800 mg) was dissolved in 0.2 ml of Tween<br />

20 and the volume of solution was then adjusted to 10 ml with<br />

distilled water to obtain a final extract concentration of 80 mg/ml.<br />

Dilution was later made so that all animals received the same<br />

volume of solution (1 ml/100 g or 0.1 ml/100 g body weight,<br />

respectively for toxicity or electrocardiogram studies).<br />

Acute toxicity test<br />

50 mice were divided into five groups of ten (sex equal) per group<br />

after 12 h fasting period, with free access to water. The mice in one<br />

of the groups received Tween 20 solution 2% (1 ml/100 g of body<br />

weight, per os), while those in the four other groups received oral<br />

doses of the extract (1000, 2000, 4000 and 8000 mg/kg,<br />

respectively). The animals were observed for obvious toxic<br />

symptoms (changes in body weight, aggressiveness, sensitivity to<br />

noise and touch, stools aspect and locomotion), and eventual<br />

mortality in each group was searched 48 h after extract<br />

administration. Animal were kept under observation for 14 days<br />

(Joshua et al., 2008; Abdulla et al., 2010).<br />

Arterial blood pressure and cardiac activity<br />

Experimental animals<br />

75 Wistar rats of 8 to 12 weeks old for both sex, and weighing<br />

between 180 to 230 g were used. They were shared into groups of<br />

five as follows: eight groups (four per animal model) were used for<br />

blood pressure measurement. For ECG investigations, four of the<br />

aforementioned groups were exploited (since blood pressure and<br />

ECG values were simultaneously recorded), while seven groups<br />

were newly set (reference drugs and their antagonists). They were<br />

carefully handled according to guidelines for the care and use of<br />

laboratory animals approved by the Japanese Pharmacological<br />

Society. The animals were maintained on a 12-h day/night cycle,<br />

with free access to standard laboratory rat chow and tap water.<br />

Normotensive rats (NTR) were used to evaluate the effects of the<br />

plant extract on blood pressure and ECG and its possible<br />

mechanism of action. To better understand the mechanism of<br />

action, we used DSHR obtained <strong>from</strong> unnephrectomized NTR, as<br />

described by Vogel and Vogel (1997). The rats were injected twice<br />

weekly with deoxycorticosterone acetate (DOCA 20 mg/kg, s.c.) in<br />

carboxymethyl-cellulose (5% of DOCA weight), for four weeks.<br />

Drinking water was replaced with a 1% NaCl solution. At the end of<br />

the treatment, rats showing a systolic blood pressure higher than<br />

150 mmHg were considered as hypertensive.<br />

Measurement of blood pressure, cardiac activity and<br />

evaluation of the effects of the plant extract<br />

The rats were anaesthetized <strong>using</strong> an intraperitoneal injection of<br />

urethane (1 g/kg). The trachea was exposed and cannulated to<br />

facilitate spontaneous respiration. Blood pressure was measured by<br />

the direct method <strong>from</strong> right carotid artery, <strong>using</strong> a cannula<br />

connected to a pressure transducer. The latter was coupled with a<br />

Biopac Student Lab. (MP35) hemodynamic recorder and a<br />

computer. ECG was measured <strong>using</strong> high sensitivity needles<br />

(electrodes), connected to the same recorder and computer. The<br />

animals were allowed to stabilize for at least 30 min before the<br />

administration of any test substances. The plant extract (5, 10, 20<br />

and 40 mg/kg) was injected via a cannula inserted into the left<br />

femoral vein.<br />

Moreover, the effects of the plant extract were compared with<br />

those of acetylcholine and isoprenaline (10 μg/kg each). The effect<br />

of the dose 40 mg/kg (which appeared to be the optimal, <strong>from</strong> our<br />

previous investigations) was examined after administration of<br />

atropine (1 mg/kg) and propranolol (100 μg/kg). Atropine and<br />

propranolol were injected intravenously 5 min before administration<br />

of the plant extract. The effectiveness of blockade was tested by<br />

injecting 10 μg/kg of isoprenaline (agonist). In another set of<br />

experiment, reserpine (5 mg/kg) was given orally to NTR once a<br />

day for three days. The effects of the extract were evaluated on the<br />

blood pressure and ECG parameters, which were observed for 1 h<br />

after test drug administration. The effect of solvent (2% Tween 20)<br />

was tested in order to ascertain that the results obtained were<br />

exclusively due to the extract. Changes in blood pressure and ECG<br />

were expressed in real values, or as a percentage of the control<br />

values obtained just before the administration of test substances.<br />

Drugs<br />

Urethane, isoprenaline and acetylcholine chloride were obtained<br />

<strong>from</strong> Prolabo, France, while atropine sulphate, propranolol, DOCA<br />

and carboxymethyl-cellulose were obtained <strong>from</strong> Sigma Chemical,<br />

St Louis, MO, USA. Heparin was <strong>from</strong> Sanofi, France. The drugs<br />

were freshly prepared before the experiment. All drugs were<br />

dissolved in distilled water except for the plant extract that was<br />

dissolved in 2% Tween 20 and the solution adjusted with distilled<br />

water.<br />

Statistical analysis<br />

Data were shown as mean ± S.E.M. Statistical significance was<br />

estimated by one way ANOVA, followed by Dunnett’s test.<br />

Difference between means were regarded as significant at p


RESULTS<br />

Bopda et al. 16395<br />

5 mg/kg<br />

10 mg/kg<br />

20 mg/kg<br />

40 mg/kg<br />

Figure 1. Effects of B. nitens methylene chloride/methanol extract on the systolic blood pressure in normotensive rats.<br />

Each point represents the mean ± SEM; n = 5; *p


16396 Afr. J. Biotechnol.<br />

5 mg/kg<br />

10 mg/kg<br />

20 mg/kg<br />

40 mg/kg<br />

Figure 2. Effects of B. nitens methylene chloride/methanol extract on the systolic blood pressure in hypertensive rats (DSHR).<br />

Each point represents the mean ± SEM; n = 5; *p


ECG (.05 - 150 Hz)<br />

B.n 40 mg/kg<br />

428.00 428.50 429.00 429.50<br />

seconds<br />

ECG (.05 - 150 Hz)<br />

430.50 431.00 431.50<br />

seconds<br />

A<br />

B<br />

Bopda et al. 16397<br />

R<br />

T<br />

P<br />

p<br />

Q<br />

S<br />

Figure 3. Effects of B. nitens (B.n., 40 mg/kg) methylene chloride/methanol extract on ECG of normotensive rat. (A) Changes in<br />

ECG immediately after B. nitens methylene chloride/methanol extract (B.n., 40 mg/kg) injection into rat’s vein; (B) normal state<br />

recovering about 4 s after extract injection to rat; P, QRS and T are various waves of normal ECG.<br />

In addition, as shown in table 2, neither atropine (1<br />

mg/kg) nor propranolol (100 μg/kg) caused any significant<br />

(p>0.05) modification of the action of B. nitens extract on<br />

ECG parameters. similarly, in reserpine (5 mg/kg/day)<br />

pre-treated rats, the elongation of R-R interval due to B.<br />

nitens (40 mg/kg) was not significantly inhibited. The<br />

20.59% (<strong>from</strong> 170 ± 10 to 205 ± 10 min) R-R interval<br />

elongation was reduced non significantly (p>0.05) by<br />

71.43% (maintaining the time at 180 ± 10 min). A non<br />

significant (p>0.05) 50% inhibition of the extract induced<br />

P wave magnitude decrease was also observed in<br />

the same animals.<br />

Effects of the methylene chloride/methanol extract of<br />

B. nitens on hypertensive rats ECG parameters<br />

In DSHR, injection of B. nitens extract (40 mg/kg)<br />

induced significant changes on T wave time, R-R interval<br />

and P wave magnitude (Figure 4; Table 3). On T wave,<br />

B. nitens extract caused a change of duration <strong>from</strong> 90 ±<br />

20 to 50 ± 10 min, representing a 44.44% (p


16398 Afr. J. Biotechnol.<br />

ECG (.05 - 150 Hz)<br />

ECG (.05 - 150 Hz)<br />

ECG (.05 - 150 Hz)<br />

B.n. 40 mg/Kg<br />

791.83 792.33 792.83 793.33<br />

seconds<br />

A<br />

B<br />

793.83 794.33 794.83 795.33<br />

seconds<br />

C<br />

797.83 798.33 798.83 799.33<br />

seconds<br />

Figure 4. Effects of B. nitens (B.n., 40 mg/kg) methylene chloride/methanol extract on DOCA-salt hypertensive rat ECG. (A) Changes in ECG<br />

immediately after B. nitens methylene chloride/methanol extract (B.n., 40 mg/kg) injection into rat’s vein; (B) Fall down of the isoelectrical line<br />

2 s after extract injection; (C) Recovery of steady state 6 s after extract injection to rat; P, QRS and T are the various waves of normal ECG.<br />

P<br />

p<br />

R<br />

Q<br />

S<br />

T<br />

1.00<br />

0.50<br />

0.00<br />

-0.50<br />

-1.00<br />

1.00<br />

0.50<br />

0.00<br />

-0.50<br />

-1.00<br />

1.00<br />

0.50<br />

0.00<br />

-0.50<br />

-1.00<br />

mV<br />

mV<br />

mV


Table 2. Effects of B. nitens methylene chloride/methanol extract, reference drugs and their antagonists on ECG of normotensive rats.<br />

ECG parameter<br />

P<br />

wave<br />

P-R<br />

interval<br />

P-R<br />

segment<br />

Time (min) Magnitude (mV)<br />

QRS<br />

complex<br />

Q-T<br />

interval<br />

T wave<br />

R-R<br />

interval<br />

P wave<br />

Complex<br />

QRS (R)<br />

Bopda et al. 16399<br />

B. nitens (40mg/kg) 30 ± 4 50 ± 9 20 ± 5 30 ± 5 105 ± 20 75 ± 10 205 ± 10 0.15 ± 0.01 0.84 ± 0.01 0.16 ± 0.01<br />

Res + B. nitens 35 ± 7 50 ± 8 20 ± 7 30 ± 7 110 ± 20 80 ± 10 180 ± 10 0.17 ± 0.01 0.87 ± 0.01 0.17 ± 0.01<br />

Atro + B. nitens 30 ± 6 50 ± 8 20 ± 4 30 ± 7 115 ± 20 85 ± 10 210 ± 10 0.16 ± 0.01 0.85 ± 0.01 0.17 ± 0.02<br />

Propra + B. nitens 30 ± 5 50 ± 8 20 ± 7 30 ± 5 110 ± 20 80 ± 10 205 ± 10 0.15 ± 0.01 0.85 ± 0.01 0.16 ± 0.01<br />

Actylcholine (10 µg/kg) 30 ± 7 50 ± 6 20 ± 6 30 ± 6 80 ± 20 50 ± 20 240 ± 20 0.19 ± 0.02 0.85 ± 0.04 0.24 ± 0.03<br />

Atro + Acetylcholine 30 ± 5 50 ± 4 20 ± 3 30 ± 8 110 ± 10 80 ± 10 180 ± 10* 0.19 ± 0.03 0.85 ± 0.04 0.19 ± 0.01<br />

Isoprenaline (10 µg/kg) -- -- -- 30 ± 5 -- -- 140 ± 20 -- 0.78 ± 0.02 --<br />

Propra + Isoprenaline 30 ± 7 50 ± 4 20 ± 5 30 ± 4 110 ± 10 80 ± 10 180 ± 10* 0.19 ± 0.03 0.85 ± 0.02 0.19 ± 0.01<br />

Each value represents the mean ± SEM; n = 5; *p


16400 Afr. J. Biotechnol.<br />

hypotensive effects in anaesthetized rats. Abdul-Ghani<br />

and Amin (1997) also found similar results while<br />

evaluating the effects of the aqueous extract of<br />

Commiphora opobalsamum on blood pressure and heart<br />

rate in rats. The earlier phase was brief and deep while<br />

the later phase was sustained. The latter was due to<br />

vasorelaxation induced by B. nitens extract, as we<br />

previously showed in normotensive rats (NTR) (Bopda et<br />

al., 2007; Dimo et al., 2007).<br />

Prompt drops in both heart rate and blood pressure<br />

have been demonstrated for several medicinal plant<br />

extracts after their administration to rat (Corallo et al.,<br />

1997; Dimo et al., 2003; Kitjaroennirut et al., 2005). We<br />

earlier reported a possible contribution of cardiodepressive<br />

activity of B. nitens extract to the rapid phase of<br />

its hypotensive effects. In NTR and DOCA-salt<br />

hypertensive rats (DSHR), B. nitens (40 mg/kg) induced a<br />

20.59 and 100% increase of R-R interval time,<br />

respectively. This corresponded to a decrease of heart<br />

rate, and confirms our previous results obtained by direct<br />

heart rate records (Bopda et al., 2007). In NTR, the<br />

extract caused a decrease of P wave and T wave<br />

magnitude; P wave and T wave are atria depolarization<br />

by nodal tissue and ventricle repolarization, respectively.<br />

Our results demonstrate that B. nitens extract inhibits<br />

atria depolarization and ventricle repolarization. We<br />

previously demonstrated on rat aorta smooth muscle that<br />

vasorelaxation induced by B. nitens extract relied on its<br />

calcium channels blocking action, which prevented the<br />

influx of extracellular calcium (Dimo et al., 2007). It is<br />

assumed nowadays that during the action potential of<br />

almost all cardiac muscle cells, depolarization is due to<br />

sodium influx, and directly followed by calcium influx in<br />

cardiac muscle cells. B. nitens also elicited a hypotensive<br />

action and a P wave magnitude decrease in DSHR. Salt<br />

given to those DSHR was NaCl and DOCA is known as a<br />

mineralocorticoid, thus has ability to retain sodium ions in<br />

rat <strong>internal</strong> medium. The higher the sodium concentration<br />

in the <strong>internal</strong> medium, the easier the muscle cells<br />

depolarization could be. Results demonstrate that B.<br />

nitens extract might have inhibited sodium influx and/or<br />

calcium influx, and then reduced ability of atria muscle<br />

cells to depolarize or to elicit a proper action potential.<br />

Furthermore, the decrease of T wave magnitude reinforced<br />

this issue, since during a normal heart contraction,<br />

ventricles repolarization is a prerequisite for a new atria<br />

depolarization. The decrease of T wave time observed in<br />

DSHR was due to the global miniaturization of the ECG<br />

duration in the presence of extract, which contributes to<br />

lowering the capacity of ventricle to totally repolarise, and<br />

hence make it difficult for the next depolarization by nodal<br />

tissue. Thus, it obviously appears that the extract exerted<br />

a depressive action on electrical activity of cardiac<br />

muscle, and then on its contraction. The relaxation of<br />

cardiac muscle might happen, as in aorta muscle, via a<br />

calcium channels blockade.<br />

Atropine and propranolol are muscarinic and βadrenoceptor<br />

blockers, respectively (Dimo et al., 2003;<br />

Bopda et al., 2007; Kouakou et al., 2008). The<br />

cardiodepressive activity of B. nitens extract was not<br />

affected by those blockers. Neither did the extract act via<br />

muscarinic receptors nor via β-adrenoceptors. Similar<br />

results were reported by Eno and Owo (1999) in their<br />

study on the cardiovascular effects of an Elaeopphorbia<br />

drupifera roots extract. The negative chronotropic effect<br />

of the extract, as well as its decreasing effect on the<br />

magnitude of P wave, were partially (but not significantly)<br />

inhibited by reserpine (5 mg/kg/day). These results might<br />

express a possible interaction between the extract and<br />

reserpine, but not on cardiac β-adrenergic receptors.<br />

Thus, the main possible mechanism of action of B nitens<br />

extract should be a direct calcium channels inhibition, as<br />

we suggested previously (Bopda et al., 2007). This might<br />

be associated with a blockade of sodium channels. While<br />

investigating the effects of some Calotropis procera<br />

extracts on the activity of diverse rabbit muscles,<br />

Moustafa et al. (2010) also suggested that the ethanol<br />

extract might act directly on the myocardium, inducing a<br />

negative chronotropic effect.<br />

In our previous works, we explained that the calcium<br />

blockade caused by B. nitens extract on vessels is due to<br />

some alkaloids (Bopda et al., 2007; Dimo et al., 2007)<br />

and also suggest that the same molecules might be<br />

responsible for the direct calcium channels inhibition on<br />

the cardiac pump. The cardiodepressive activity of B<br />

nitens extract is rather partial vis-a-vis of its hypotensive<br />

effect, since only the higher dose (40 mg/kg) was<br />

significantly efficient.<br />

More also, our results relating to acute toxicity indicate<br />

that B. nitens extract was not toxic when administered to<br />

mice by oral route. Similar results were reported by Akah<br />

et al. (2009, 2010) while evaluating the acute toxicity of<br />

the aqueous extract and that of the methanol fractions of<br />

the leaves of B. nitens in mice. All the changes on heart<br />

activity occurred within less than 10 s following extract<br />

administration. The recovery observed in all the animals,<br />

as well as the non-lethality up to 8000 mg/kg of extract,<br />

gave proof that B. nitens causes no acute toxic effect in<br />

mice or rats. Those observations justified the fact that the<br />

early hypotensive phase of B. nitens extract was linked to<br />

a non-toxic depression on ECG parameters.<br />

In conclusion, the hypotensive effects induced by the<br />

CH2Cl2/CH3OH leaf extract of B. nitens rely on its<br />

cardiodepressive activity. The extract at a higher dose<br />

(40 mg/kg) caused, in NTR and DSHR, a negative<br />

chronotropic effect and a decrease of the magnitude of P<br />

wave. The extract might act by blocking calcium channels<br />

and possibly sodium channels.


ACKNOWLEDGEMENT<br />

We are very grateful to Dr. Asongalem Emmanuel Acha<br />

(Faculty of Health Science, University of Buea), for taking<br />

his time to proof-read this paper.<br />

REFERENCES<br />

Abdul-Ghani AS, Amin R (1997). Effect of aqueous extract of<br />

Commiphora opobalsamum on blood pressure and heart rate in rats.<br />

J. Ethnopharmacol. 57(3): 219-222.<br />

Abdulla MA, AL-Bayaty FH, Younis LT, Abu Hassan MI (2010). Antiulcer<br />

activity of Centella asiatica leaf extract against ethanol-induced<br />

gastric mucosal injury in rats. J. Med. Plants Res. 4(13): 1253-1259.<br />

Adjanohoun JE, Aboubakar N, Dramane NN (1996). Contribution to<br />

ethnobotanical and floristic studies in Cameroon. National Centre for<br />

Production of school tools, Benin, p. 19.<br />

Akah PA, Okolo CE, Okoye TC, Offiah NV (2010). Aqueous extract and<br />

methanol fractions of the leaves of Brillantaisia nitens Lindau<br />

reverses phenylhydrazine – induced anaemia in rats. J. Med. Plants<br />

Res. 4(3): 271-277.<br />

Akah PA, Okolo CE, Ezike Adaobi C (2009). The haematinic activity of<br />

the methanol leaf extract of Brillantaisia nitens Lindau (Acanthaceae)<br />

in rats. Afr. J. Biotechnol. 8 (10): 2389-2393.<br />

Bopda Mtopi OS, Dimo T, Nguelefack TB, Dzeufiet D, Rakotonirina SV,<br />

Kamtchouing P (2007). Effect of Brillantaisia nitens Lindau<br />

(Acanthaceae) methylene chloride/methanol leaf extract on rat<br />

arterial blood pressure and heart rate. Pharmacologyonline, 1: 495-<br />

510.<br />

Burkill HM (1985). The useful plants of west tropical Africa. Royal<br />

Botanic Gardens Kew, England, p. 7.<br />

Corallo A, Foungbe S, Davy M, Cohen Y (1997). Cardiovascular<br />

pharmacology of aqueous extract of the leaves of Bridelia atroviridis<br />

Muell. Arg. (Euphorbiaceae) in the rat. J. Ethnopharmacol. 57:189-<br />

196.<br />

Dimo T, Bopda Mtopi OS, Nguelefack TB, Kamtchouing P (2007).<br />

Vasorelaxant effect of Brillantaisia nitens Lindau (Acanthaceae)<br />

extracts on isolated rat vascular smooth muscle. J. Ethnopharmacol.<br />

111(1): 104-109.<br />

Bopda et al. 16401<br />

Dimo T, Nguelefack TB, Tan PV, Yewah MP, Dongo E, Rakotonirina<br />

SV, Kamanyi A, Bopelet M (2003). Possible mechanisms of action of<br />

the neutral extract <strong>from</strong> Bidens pilosa L. leaves on the cardiovascular<br />

system of anaesthetized rats. Phytother. Res. 17: 1135–1139.<br />

Dimo T, Nguelefack BT, Kamtchouing P, Dongo E, Rakotonirina A,<br />

Rakotonirina SV (1999). Hypotensive effects of a methanol extract<br />

<strong>from</strong> Bidens pilosa Linn on hypertensive rats. A report <strong>from</strong> the<br />

Academy of Science - Series III – Sci. Vie, 322(4): 323-329.<br />

Eno AE, Owo OI (1999). Cardiovascular effects of an extract <strong>from</strong> the<br />

roots of a shrub elaeophorbia drupifera. Phytother. Res. 13: 549-554.<br />

Fezeu L, Kengne AP, Balkau B, Awah PK, Mbanya JC (2010). Ten-year<br />

change in blood pressure levels and prevalence of hypertension in<br />

urban and rural Cameroon. J. Epidemiol. Community Health, 64(4):<br />

360-365. http://dx.doi.org/10.1136/jech.2008.086355<br />

Joshua AJ, Goudar KS, Damodaran A, Sameera N, Amit A (2008).<br />

Acute oral toxicity evaluation of some polyherbal formulations in<br />

albino wistar rats. Int. J. Pharmacol. 4(5): 388-392.<br />

Kamadjeu RM, Edwards R, Atanga JS, Unwin N, Kiawi EC, Mbanya JC<br />

(2006). Prevalence, awareness and management of hypertension in<br />

Cameroon: findings of the 2003 Cameroon Burden of Diabetes<br />

Baseline Survey. J. Human Hypert. 20: 91–92.<br />

Kitjaroennirut N, Jansakul C, Sawangchote P (2005). Cardiovascular<br />

effects of Tecca integrifolia Ker-Gawl. Extract in rats. J. Sci. Technol.<br />

27(2) : 281-289.<br />

Kouakou KL, Abo Kouakou JC, Traore F, Ehile Ehouan E (2008). Effet<br />

antihypertensif de BpF2, une fraction d’extrait aqueux de feuilles de<br />

Bidens pilosa L. (Asteraceae) chez le lapin. Sci. Nat. 5(1): 29–37.<br />

Matheus ME, Berrondo LF, Vieitas EC, Menezes FS, Fernandes PD<br />

(2005). Evaluation of the antinociceptive properties <strong>from</strong> Brillantaisia<br />

palisotii Lindau stems extracts. J. Ethnopharmacol. 102(3): 377-381.<br />

Moustafa AM, Ahmed SH, Nabil ZI, Hussein AA, Omran MA (2010).<br />

Extraction and phytochemical investigation of Calotropis procera:<br />

effect of plant extracts on the activity of diverse muscles. Pharm. Biol.<br />

48(10): 1080-1090.<br />

Vogel GH, Vogel HW (1997). Drug discovery and evaluation.<br />

Pharmacological assays. Springer-Verlag, Berlin Heidelberg,<br />

Germany, pp. 77-78.


African Journal of Biotechnology Vol. 10(72), pp. 16402-16405, 16 November, 2011<br />

Available online at http://www.academicjournals.org/AJB<br />

DOI: 10.5897/AJB11.2113<br />

ISSN 1684–5315 © 2011 <strong>Academic</strong> Journals<br />

Full Length Research Paper<br />

Influence of cross-breeding of native breed sows of<br />

Zlotnicka spotted with boars of Duroc and polish large<br />

white (PLW) breeds on the slaughter value fatteners<br />

Karolina Szulc 1 *, Karol Borzuta 2 , Dariusz Lisiak 2 , Janusz T. Buczynski 1 , Jerzy Strzelecki 2 ,<br />

Eugenia Grzeskowiak 2 , Fabian Magda 2 and Beata Lisiak 2<br />

1 The Poznan University of Life Sciences, Department of Pig Breeding and Production, ul. Wolynska 33,<br />

60-637 Poznan, Poland.<br />

2 Institute of Agricultural and Food Biotechnology, Department of Meat and Fat Technology,<br />

60–111 Poznan, ul Głogowska 239, Poland.<br />

Accepted 12 October, 2011<br />

The aim of this study was the estimation of the cross-breeding influence of Zlotnicka spotted sows with<br />

boars of polish large white and Duroc breeds on carcass traits of fatteners. 50 pigs were divided into<br />

four groups: Zlotnicka spotted (ZS), Zlotnicka spotted x polish large white (ZS x PLW), Zlotnicka<br />

spotted x Duroc (ZS x D) and Zlotnicka spotted x (Zlotnicka spotted x D). Obtained results confirm the<br />

results of previous studies. It was found that animals of the native breed ZS were characterized by<br />

small height of the loin ‘eye’ (52.20mm), low meatiness (43.99%) and considerable backfat thickness<br />

(4.22 cm). The analysis of the cross-breeding influence on the value of slaughter traits, was confirmed<br />

by significant higher thickness and surface of the loin ‘eye’ in crossbred fatteners (ZS x PLW, ZS x D,<br />

ZS x (ZS x D) in comparison with purebred fatteners ZS. The highest meatiness (48%) and lowest<br />

backfat thickness (3.61cm) were observed in fatteners <strong>from</strong> group ZS x PLW. With regards to these<br />

traits, this group differed significantly <strong>from</strong> group ZS x (ZS x D). Crossbred fatteners ZS x PLW and also<br />

ZS x D had significantly higher share of meat cuts in comparison with purebred fatteners ZS and<br />

crossbred fatteners ZS x (ZS x D). However, with regards to share of fat cuts, crossbred animals ZS x<br />

PLW and ZS X D showed the significant lower capacity of these joints than groups ZS and ZS x (ZS x D).<br />

Obtained results show that crossbreeding of sows of the breed ZS with boars PLW and also D<br />

influenced significantly the value of some important slaughter traits and animals <strong>from</strong> these crossbreeding<br />

can be used for the purpose of improving economic effects of the goods production.<br />

Key words: Pigs, Zlotnicka spotted, crossbreds, slaughter value.<br />

INTRODUCTION<br />

It has been observed that carcass traits of swine breeds<br />

reared for meat usually have some faults, which makes<br />

them unsuitable for traditional culinary processes and<br />

aims. Therefore, the meat industry in many countries and<br />

also in Poland increases the interest of native races of<br />

the unique genetic value which at proper feeding, provide<br />

*Corresponding author. E-mail: karolasz@jay.au.poznan.pl.<br />

Abbreviations: PLW, Polish large white; ZS, Zlotnicka spotted;<br />

D, Duroc.<br />

the raw material particularly useful to the production of<br />

raw-ripen products. In Poland, native pigs belong to the<br />

following breeds: Zlotnicka spotted (ZS), Zlotnicka White<br />

and Pulawska breeds. Many European countries take<br />

special care of their own old races of pigs (Salvatori,<br />

2008; Szulc, 2009). Carcasses of these pigs have the<br />

thick backfat and meat is prized for its organoleptic traits.<br />

Carcasses of these pigs are also the raw material to the<br />

production of the raw-ripen ham. In Pie Noir du Pays<br />

Basque, the old race is prized for the production of the<br />

Basque ham (Szulc, 2010). In Spain, the native race<br />

Iberico is highly valued for the production of dry-cured<br />

hams and loins. In this country, 2.6 millions of Iberian


Table 1. Proximate composition of diets.<br />

Item<br />

Starter<br />

Diet<br />

Grower Finisher<br />

Dry matter (%) 90.29 90.28 90.56<br />

Energy (MJ/kg) 13.46 12.63 12.46<br />

Crude protein (%) 16.26 17.31 14.79<br />

Digestible energy (%) 13.65 14.65 12.65<br />

Crude fibre (%) 3.45 4.16 3.90<br />

Crude fat (%) 3.58 1.95 2.01<br />

Ash (%) 4.73 4.98 4.77<br />

Ca (%) 0.81 0.79 0.77<br />

P (%) 0.67 0.62 0.61<br />

Lysine (%) 1.11 0.99 0.79<br />

hams are produced annually and the production of these<br />

dry-cured hams is nowadays the known mark in many<br />

countries (Serrano et al., 2008).<br />

As it was reported by Buczyński et al. (2001),<br />

Grześkowiak et al. (2006), Strzelecki et al. (2006), and<br />

Buczyński et al. (2005), traditional Polish breeds are<br />

good and thus are quite popular because of their meat<br />

quality and quantity but one of the major disadvantages<br />

of these breeds is their low meat content (44 to 46%)<br />

comparatively, which is significantly lower in comparison<br />

with modern breeds and <strong>from</strong> here is not favoured by<br />

many commercial meat processors. It was reported by<br />

Buczyński et al. (1996), Grześkowiak et al. (2006),<br />

Strzelecki et al. (2006), Michalska and Chojnacki (2005)<br />

and also Nowachowicz (2005) that the crossbreeding<br />

project was initiated with ZS swine with breeds having the<br />

better meat content.<br />

Buczyński et al. (2001) and Nowachowicz (2005)<br />

reported that Pietrain was the breed chosen for such<br />

crossbreeding projects. Using the race Pietrain, there<br />

was observed increase of meatiness. However, it also led<br />

to the deterioration of qualitative traits of the meat. It also<br />

led to the need of initiating the project, in which<br />

qualitative traits can be improved besides the meat<br />

quantity as whole.<br />

MATERIALS AND METHODS<br />

The study was conducted in Jaworowo near Gniezno (17˚36ˈ E,<br />

52˚32ˈ N), with both purebred and crossbred swines of ZS, Duroc<br />

(ZS x D) and polish large white (ZS x PLW). Races Duroc and also<br />

PLW were chosen with regards to the good quality of the meat. In<br />

Poland, both are used widely as components for cross-breeding.<br />

Animals were divided into four experimental groups with equal<br />

numbers of sows and boars. All animals were tattooed and earmarked.<br />

Experimental animals having the average weight of 20 kg<br />

were selected and the experiment ended when animals reached the<br />

slaughter weight of about 120 kg (113.0 to 123.6 kg). The<br />

experiment was divided into starter (20 to 30 kg), grower (30 to 80<br />

kg) and finisher (over 80 kg) rations. The approximate composition<br />

of the diets is shown in Table 1. The rations in all the three stages<br />

Szulc et al. 16403<br />

were similar for all three genotypes. Fatteners were kept in<br />

collective coops with 35 animals on the plate bedding. Animals<br />

were fed ad libitum <strong>using</strong> the collective feeding and there was the<br />

stable approach to water all the time.<br />

After obtaining the final fattening, animals were transported <strong>from</strong><br />

the farm to the slaughter-house located in the distance of about 50<br />

km. Animals rested for about 2 h prior to slaughtering. Fatteners<br />

were stunned before slaughter. The carcasses were weighed with<br />

having the precision of 100 g electronic scales typical in polish<br />

slaughter-houses 30 min after slaughter and the meat content was<br />

estimated the with the help of the optical-needle apparatus CGM<br />

made by the Sydel firm (in France). The backfat thickness was also<br />

measured in 5 points on the lying right half-carcass (accurate to 0.1<br />

cm); 1) in the thickest point over the shoulder; 2) on the back -<br />

between the last thoracic vertebra and the first lumbar vertebra; 2,<br />

3, 4) in three points over the lumbar loin (on the cross I, II, III): for<br />

example under the beginning, middle and end of the section of<br />

gluteus medius muscle (Borzuta, 1998). Later, half-carcasses were<br />

cooled down <strong>using</strong> the mono-gradual system to about 4°C. After the<br />

24 h cycle of cooling down, carcasses were transported to the<br />

factory in Bieganów on the distance of about 30 km where they<br />

were cut down into fundamental cuts according to the method given<br />

in the Polish norm (PN-86-A/82002). Cuts were weighted with the<br />

scales having the precision of ± 1 g. Obtained results were<br />

analysed statistically <strong>using</strong> STATISTICA 6.0 by calculating<br />

arithmetic means and the standard deviation. One-way analysis of<br />

variance was conducted and significance of differences between<br />

genetic groups was identified with the Tukey’s test (Stanisz, 1998).<br />

RESULTS AND DISCUSSION<br />

The studied fatteners had weak traits of the slaughter<br />

value (Tables 2, 3 and 4). The observed slaughter<br />

productivity oscillated <strong>from</strong> 73.33 to 78.54% and was<br />

approximate to the results obtained earlier by other<br />

authors (Kapelański et al. 2006; Wajda and Meller, 1996;<br />

Kapelański and Rak 1999). The meat content in the pig<br />

carcass of the race Zlotnicka spotted was estimated as<br />

low. In our studies, it amounted to 43.99% and the lowest<br />

meat content was found in crossbreds ZS x ZS/ D while<br />

the highest one was in crossbreds ZS x PLW (P≤0.05).<br />

Kapelański et al. (2006) obtained the average<br />

meatiness as 44.69% but in turn, Szulc et al. (2006)


16404 Afr. J. Biotechnol.<br />

Table 2. Formation of slaughter traits of fatteners taking into consideration the genetic group.<br />

Trait<br />

ZS<br />

Genetic group<br />

ZS x PLW ZS x D ZS x (ZS x D)<br />

Slaughter weight (kg) 114.00 a ±11.05 113.10 a ±5.97 113.00 a ±8.03 123.60 b ±7.90<br />

Hot carcass weight (kg) 88.92±6.29 87.26±5.76 88.57±5.46 90.57±6.08<br />

Slaughter productivity (%) 78.25±5.39 77.24±4.93 78.54±4.60 73.33±5.06<br />

High of the loin ‘eye’ (mm) 52.20 a ±6.25 61.89 b ±11.61 60.10 b ±7.55 61.00 b ±6.88<br />

Loin ‘eye’ area (cm 2 ) 29.61 a ±5.46 35.97 b ±5.61 35.24 b ±4.77 36.63 b ±7.05<br />

Meat content (%) 43.99±5.54 48.00 a ±3.47 45.02±3.61 42.47 b ±3.41<br />

a, b Means along the same row with different superscripts are significant (P≤0.05). Values are mean± SD.<br />

Table 3. Formation of the backfat thickness in fatteners taking into consideration the genetic group.<br />

Trait<br />

ZS<br />

Genetic group<br />

ZS x PLW ZS x D ZS x (ZS x D)<br />

Backfat thickness over shoulder (cm) 5.42±0.86 4.70 a ±0.77 5.35±0.49 6.08 b ±0.75<br />

Backfat thickness on the back (cm) 3.13±0.95 2.72 a ±0.46 2.87±0.51 3.29 b ±0.70<br />

Backfat thickness on the cross I (cm) 4.40 b ±0.94 3.61 a ±0.38 3.88±0.70 4.45 b ±0.64<br />

Backfat thickness on the cross II (cm) 3.63±0.97 3.04 a ±0.45 3.20±0.66 3.92 b ±0.62<br />

Backfat thickness on the cross III (cm) 4.54±1.26 3.96 a ±0.51 4.00±0.70 4.82 b ±0.63<br />

Backfat thickness <strong>from</strong> five measurements (cm) 4.22±0.93 3.61 a ±0.36 3.86±0.58 4.51 b ±0.57<br />

a, b Means along the same row with different superscripts are significant (P≤ 0.05). Values are mean± SD.<br />

Table 4. Productivity of cuts in analysed carcasses.<br />

Trait<br />

ZS<br />

Genetic group<br />

ZS x PLW ZS x D ZS x (ZS x D)<br />

Pork-chop (%) 8.08 a ±0.79 9.01 b ±0.72 9.00 b ±0.66 8.02 a ±0.69<br />

Ham with shank (%) 25.38 a ±1.32 26.14 b ±1.47 26.49 b ±1.31 25.34 a ±1.23<br />

Neck (%) 6.12±0.78 5.99±0.53 5.77±0.64 5.95±0.61<br />

Shoulder with shank (%) 13.30±0.96 13.48±1.24 13.68±0.74 13.08±1.17<br />

Sum of four meaty cuts down (%) 52.88 a *<br />

54.62 b<br />

54.94 b<br />

52.39 a<br />

Belly with bone (%) 9.92±1.38 9.65±1.48 9.24±3.16 10.56±1.21<br />

Backfat with skin (%) 13.71 a ±2.57 11.92 b ±1.53 12.35 b ±2.37 15.10 a ±1.83<br />

Dewlap (%) 4.84±0.58 4.55±0.53 4.31±0.89 4.68±0.77<br />

Grain (%) 2.19±0.77 2.36±0.86 2.84±1.03 2.55±0.72<br />

Sum of four fat cuts 30.66 a *<br />

28.48 b<br />

28.74 b<br />

32.89 a<br />

a, b means along the same row with different superscripts are significant (P≤ 0.01). Values are mean± SD ; *values are expressed as mean.<br />

noted the meat content as 47%. Similar results were<br />

obtained by Grześkowiak et al. (2007). In the experiment,<br />

on cross-breeding of the Zlotnicka White race with race<br />

PLW conducted by Strzelecki et al. (2006), they obtained<br />

similar effects as in this work and for example meatiness<br />

increased <strong>from</strong> 46.4 to 49.7%. The increase of the<br />

surface of the loin ‘eye’ was observed <strong>from</strong> 36 to 42 cm 2<br />

but the medium backfat thickness decreased <strong>from</strong> 4.1 to<br />

3.1 cm. In this work, it was noticed that the surface of the<br />

loin ‘eye’ was small and was about 30 cm 2 . It confirms the<br />

results of earlier research (Kapelański and Rak, 1999;<br />

Grześkowiak et al., 2007). Height of the loin ‘eye’ was<br />

higher significantly in crossbreeds groups than in<br />

purebred groups ZS. The backfat in Zlotnicka pigs was<br />

rather thick and the mean <strong>from</strong> five measurements was<br />

4.22 cm. In other studies, it was noticed that the thinner<br />

backfat was 3.3 cm as was given by Kapelański and Rak<br />

(1999), 3.2 cm by Grześkowiak et al. (2009) and 2.4 cm<br />

by Kapelański et al. (2006). The highest mean of the<br />

backfat thickness in the five points was found in group ZS<br />

x Z/D, and the lowest one was in group ZS x PLW.<br />

Between groups, significant difference was found in the


ackfat thickness in all the measured points.<br />

Higher productivity of pork-chop than for ham was<br />

found in crossbreeds ZS x PLW and ZS x D lacked<br />

significant differences in the productivity of shoulder and<br />

neck. The share of four cuts (pork-chop, ham, shoulder,<br />

neck) in these groups were found on the average <strong>from</strong><br />

54.6 to 54.9% and was bigger; about 2% in comparison<br />

with the remaining groups. Grześkowiak et al. (2006)<br />

showed the increase of the share of the pork-chop, neck<br />

and shoulder in crossbreds ZS x PLW. Improvement of<br />

the slaughter value in crossbreds with Duroc in<br />

comparison with purebred fatteners, was observed for<br />

race Cinta Sense. In crossbreds, the productivity of four<br />

cuts increased <strong>from</strong> about 54 to about 68% (Franci et al.,<br />

2003). Studies were conducted on native races in other<br />

European countries pointing to the worse muscularity,<br />

bigger backfat thickness and lower share of ham,<br />

shoulder blade and pork-chop in comparison with Duroc<br />

(Serrano et al., 2008).<br />

It should be also noted that fattening of native pigs in<br />

Italy and in Spain had body mass of about 140 to 150 kg;<br />

about 40 kg higher than that in Poland. It resulted <strong>from</strong><br />

the destiny of this raw material to the production of rawripen<br />

manufacturers. In Poland, possibilities of <strong>using</strong><br />

native pigs and their crossbreds to such production,<br />

particularly in the light of the obtained result in this work<br />

should be considered.<br />

Conclusion<br />

Analyzing the influence of cross-breeding on the results<br />

of the slaughter utility, showed that animals of all<br />

crossbred groups had significant bigger thickness and<br />

surface of the loin ‘eye’ in comparison with purebred<br />

fatteners. Fatteners <strong>from</strong> group ZS x PLW, had the<br />

highest meatiness which was on the average 48%. The<br />

lowest meatiness was found in animals <strong>from</strong> groups ZS x<br />

(ZS x D) and the difference among these groups was<br />

statistically significant.<br />

The thinnest backfat was observed in fatteners <strong>from</strong><br />

group ZS x PLW (3.61 cm) while the thickest (4.51 cm)<br />

was in animals <strong>from</strong> group ZS x (ZS x D). Difference was<br />

found among these groups, which proved significant<br />

bigger share of four meaty cuts in comparison with<br />

purebred fatteners ZS and also crossbreds ZS x (ZS x<br />

D). In turn, with regards to share of fat cuts, crossbred<br />

animals ZS x PLW and ZS x D showed the lower content<br />

of these cuts (P≤0.05) than groups ZS and ZS x (ZS x D).<br />

ACKNOWLEDGMENTS<br />

The study was conducted within the framework of the<br />

Ministry of Science and Higher Education grant no. N<br />

N311 266336 ‘Analysis of suitability of Zlotnicka Spotted<br />

pigs and their crosses with Duroc and Large White Polish<br />

Szulc et al. 16405<br />

pigs in the production of heavy fatteners, porcine material<br />

for production of raw and raw maturing products’.<br />

REFERENCES<br />

Borzuta K (1998). Badania nad przydatnością różnych metod<br />

szacowania mięsności do klasyfikacji tusz wieprzowych w systemie<br />

EUROP. Rocz. Inst. Przem. Mięs. Tł., XXXV/2. Roz. Hab.<br />

Buczyński JT, Krupniak S, Dudziak P (1996). Wyniki krzyżowania loch<br />

rasy wbp z knurami rasy Pietrain x pbz i Pietrain x złotnicka pstra.<br />

Zesz. Nauk. Przeg. Hod., PTZ, 26: 161-168.<br />

Buczyński JT, Borzuta K, Szulc K (2001). Carcass quality in złotnicka<br />

spotted hybrid pigs. Ann. Anim. Sci. Suppl. 1: 13-17.<br />

Buczyński JT, Panek A, Luciński P, Skrzypczak E, Szulc K (2005). The<br />

effect of genotype on fattening and slaughter performance in pigs.<br />

Ann. Anim. Sci. Suppl. 1: 11-15.<br />

Franci O, Campadoni G, Bozzi R, Pugliese C, Acciaioli A, Gandini G<br />

(2003). Productivity of Cinta Senese and Large White x Cinta Senese<br />

pigs reared outdoors in woodlands and indoors. 2. Slaughter and<br />

carcass traits. Ital. J. Anim. Sci. 2: 59-65.<br />

Grześkowiak E, Borzuta K, Strzelecki J, Borys A, Lisiak D, Janiszewski<br />

P (2006). Badania wpływu krzyżowania świń czystorasowych<br />

złotnickiej białej z wielką białą polską, na jakość tusz oraz<br />

przydatność technologiczną mięsa. Rocz. Inst. Przem. Mięs. i Tł.<br />

XLIV/2: 33–42.<br />

Grześkowiak E, Borzuta K, Strzelecki J, Buczyński JT, Lisiak D,<br />

Janiszewski P (2007). Jakość tusz oraz przydatność technologiczna<br />

mięsa świń ras złotnickich Rocz. Nauk. Zoot. T. 34, z.: 239–250.<br />

Grześkowiak E, Borys A, Borzuta K, Buczyński JT, Lisiak D (2009).<br />

Slaughter value, meat quality and backfat fatty acid profile in<br />

złotnicka white and złotnicka spotted fatteners. Anim. Sci. Pap. Rep.<br />

27(2): 115-125.<br />

Kapelański W, Rak B (1999). Growth performance and carcass traits of<br />

pietrain and złotnicka spotted pigs and their crossbreds evaluated in<br />

1969 and 1997. Advan. Agroc. Sci. vol. VI, Facs. 2: 45-50, Szczecin.<br />

Kapelański W, Buczyński JT, Bocian M (2006). Slaughter value and<br />

meat quality in the Polish native Złotnicka Spotted pig. Anim. Sci.<br />

Pap. Rep. 24(1): 7-13.<br />

Michalska G, Chojnacki Z (2005). Performance test results of young<br />

crossbreed boars with Złotnicka Spotted and Pietrain breeding. Ann.<br />

Anim. Sci., Suppl. 1: 35-38.<br />

Nowachowicz J (2005). Meat and fat content of young crossbreed boars<br />

with złotnicka spotted and pietrain breeding depending on their<br />

growth rate. Ann. Anim. Sci., Suppl. 1: 47-50. PN-86-A/82002 Polska<br />

Norma. Wieprzowina. Części zasadnicze.<br />

Salvatori G, Filetti F, Di Cesare C, Maiorano G, Pilla F, Oriani G (2008).<br />

Lipid composition of meat and backfat <strong>from</strong> casertana purebred and<br />

crossbred pigs reared outdoors. Meat Sci. 80: 623-631.<br />

Serrano MP, Valencia DG, Nieto M, Lazaro R, Mateos GG (2008).<br />

Influence of sex and terminal sire line on performance and carcass<br />

and meat quality of Iberian pigs reared under intenstive production<br />

systems. Meat Sci. 78: 420-428.<br />

Stanisz A (1998). Przystępny kurs statystyki w oparciu o program<br />

Statistica PL na przykładach z medycyny. Startsoft Polska, Sp. z o. o<br />

Kraków.<br />

Strzelecki J, Borzuta K, Grześkowiak E, Janiszewski P, Lisiak D,<br />

Buczyński JT (2006). Effect of crossbreeding złotnicka white pigs on<br />

carcass slaughter value. Ann. Anim. Sci., Suppl. 2(1): 287-290.<br />

Szulc K, Buczyński JT, Skrzypczak E, Panek A (2006). Live testing<br />

results of złotnicka spotted (ZS), ZS x Polish Large White and ZS x<br />

Hampshire fatteners. Anim. Sci. Pap. Rep. 24: 65-69.<br />

Szulc K (2009). Stare rasy świń w Europie-casertana i sarda. Trz. Chl.<br />

XLVII, 4: 36–37.<br />

Szulc K (2010). Stare rasy świń w Europie – Pi Noir du Pays Basque.<br />

Trz. Chl. XLVIII, 10: 23–24.<br />

Wajda S, Meller Z (1996). Technological ability of meat of złotnicka<br />

spotted pigs. Mat. I Konf. Nauk. Rasy rodzime świń”. Poznań 26. XI.<br />

1996: 41–50.


UPCOMING CONFERENCES<br />

2012 International Conference on Biotechnology and Food Engineering<br />

ICBFE 2012 Dubai, UAE. August 4-5, 2012<br />

15th European Congress on Biotechnology: "Bio-Crossroads",<br />

Istanbul, Turkey, 23 Sep 2012


Conferences and Advert<br />

September 2012<br />

15th European Congress on Biotechnology: "Bio-Crossroads", Istanbul, Turkey, 23<br />

Sep 2012<br />

October 2012<br />

Biotechnology and Bioinformatics Symposium, Provo, USA, 25 Oct 2012


African Journal of<br />

Biotechnology<br />

Related Journals Published by <strong>Academic</strong> Journals<br />

■ Journal of Evolutionary Biology Research<br />

■ Journal of Yeast and Fungal Research<br />

■ Journal of Brewing and Distilling<br />

■ African Journal of Biochemistry Research<br />

■ African Journal of Food Science<br />

■ African Journal of Plant Science

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!