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African Journal of<br />

<strong>Microbiology</strong> <strong>Research</strong><br />

Volume 6 Number 24 28 June, 2012<br />

ISSN 1996-0808


About AJMR<br />

The African Journal of <strong>Microbiology</strong> <strong>Research</strong> is published monthly (one volume per year) by <strong>Academic</strong><br />

<strong>Journals</strong>.<br />

The African Journal of <strong>Microbiology</strong> <strong>Research</strong> (ISSN 1996-0808, IMPACT FACTOR 0.533) is an open access<br />

journal that provides rapid publication (weekly) of articles in all areas of <strong>Microbiology</strong> such as: Environmental<br />

<strong>Microbiology</strong>, Clinical <strong>Microbiology</strong>, Immunology, Viriology, Bacteriology, Phycology, Mycology and<br />

Parasitology, Protozoology, Microbial Ecology, Probiotics and Prebiotics, Molecular <strong>Microbiology</strong>,<br />

Biotechnology, Food <strong>Microbiology</strong>, Industrial <strong>Microbiology</strong>, Cell Physiology, Environmental Biotechnology,<br />

Genetics, Enzymology, Molecular and Cellular Biology, Plant Pathology, Entomology, Biomedical Sciences,<br />

Botany and Plant Sciences, Soil and Environmental Sciences, Zoology, Endocrinology, Toxicology. The Journal<br />

welcomes the submission of manuscripts that meet the general criteria of significance and scientific<br />

excellence. Papers will be published shortly after acceptance. All articles are peer-reviewed.<br />

Submission of Manuscript<br />

Submit manuscripts as e-mail attachment to the Editorial Office at: ajmr.acadjourn@gmail.com. A manuscript<br />

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

For all other correspondence that cannot be sent by e-mail, please contact the editorial office (at<br />

ajmr.acadjourn@gmail.com.<br />

The African Journal of <strong>Microbiology</strong> <strong>Research</strong> 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 />

Prof. Dr. Stefan Schmidt<br />

Applied and Environmental <strong>Microbiology</strong><br />

School of Biochemistry, Genetics and <strong>Microbiology</strong><br />

University of KwaZulu-Natal<br />

Private Bag X01<br />

Scottsville, Pietermaritzburg 3209<br />

South Africa.<br />

E-mail: ajmr.acadjourn@gmail.com<br />

Prof. Veronica Chima Nwosu (nee Dike)<br />

Department of <strong>Microbiology</strong> and Immunology<br />

Kunming Medical University<br />

Kunming 650031,<br />

China.<br />

Dr. Jianfeng Wu<br />

Dept. of Environmental Health Sciences,<br />

School of Public Health,<br />

University of Michigan<br />

USA<br />

Dr. Ahmet Yilmaz Coban<br />

OMU Medical School,<br />

Department of Medical <strong>Microbiology</strong>,<br />

Samsun,<br />

Turkey.


Editorial Board<br />

Dr. Kwang Young Song<br />

Department of Biological Engineering,<br />

School of Biological and Chemical Engineering,<br />

Yanbian Universityof Science and Technology,<br />

Yanji,<br />

China.<br />

Dr. Kamel Belhamel<br />

Faculty of Technology,<br />

University of Bejaia<br />

Algeria.<br />

Dr. Sladjana Jevremovic<br />

Institute for Biological <strong>Research</strong><br />

Sinisa Stankovic,<br />

Belgrade,<br />

Serbia.<br />

Dr. Tamer Edirne<br />

Dept. of Family Medicine, Univ. of Pamukkale<br />

Turkey.<br />

Dr. R. Balaji Raja M.Tech (Ph.D)<br />

Assistant Professor,<br />

Department of Biotechnology,<br />

School of Bioengineering,<br />

SRM University,<br />

Chennai.<br />

India<br />

Dr. Mohd Fuat ABD Razak<br />

Institute for Medical <strong>Research</strong><br />

Malaysia.<br />

Dr. Minglei Wang<br />

University of Illinois at Urbana-Champaign<br />

USA.<br />

Dr. Davide Pacifico<br />

Istituto di Virologia Vegetale – CNR<br />

Italy.<br />

Prof. Branislava Kocic<br />

Specaialist of <strong>Microbiology</strong> and Parasitology<br />

University of Nis, School of Medicine Institute<br />

for Public Health Nis, Bul. Z. Djindjica 50, 18000 Nis<br />

Serbia.<br />

Dr. Ntobeko A. B. Ntusi<br />

Cardiac Clinic, Department of Medicine,<br />

University of Cape Town and<br />

Department of Cardiovascular Medicine,<br />

University of Oxford<br />

South Africa and<br />

United Kingdom.<br />

Prof. N. S. Alzoreky<br />

Food Science & Nutrition Department,<br />

College of Agricultural Sciences & Food,<br />

King Faisal University,<br />

Saudi Arabia.<br />

Dr. Sivakumar Swaminathan<br />

Department of Agronomy,<br />

College of Agriculture and Life Sciences,<br />

Iowa State University,<br />

Ames, Iowa 50011<br />

USA.<br />

Dr. Alfredo J. Anceno.<br />

School of Environment, Resources and Development (SERD),<br />

Asian Institute of Technology,<br />

Thailand.<br />

Dr. Okonko, Iheanyi Omezuruike<br />

Department of Virology,<br />

Faculty of Basic Medical Sciences,<br />

College of Medicine,<br />

University of Ibadan,<br />

University College Hospital,<br />

Ibadan,<br />

Nigeria.<br />

Dr. S. Meena Kumari<br />

Department of Biosciences<br />

Faculty of Science<br />

University of Mauritius<br />

Reduit<br />

Mauritius.<br />

Luki Subehi<br />

Parasitology & Mycology Dept,<br />

Baghaeei Lab.,<br />

Shams Abadi St.<br />

Isfahan<br />

Iran.


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 />

Reviews: Submissions of reviews and perspectives covering<br />

topics of current interest are welcome and encouraged.<br />

Reviews should be concise and no longer than 4-6 printed<br />

pages (about 12 to 18 manuscript pages). Reviews are also<br />

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 from 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 AJMR to publish manuscripts within weeks<br />

after submission.<br />

Regular articles<br />

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

and all pages numbered starting from 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 from 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 using<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 />

Abayomi (2000), Agindotan et al. (2003), (Kelebeni,<br />

1983), (Usman and Smith, 1992), (Chege, 1998;<br />

1987a,b; Tijani, 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 />

Chikere CB, Omoni VT and Chikere BO (2008).<br />

Distribution of potential nosocomial pathogens in a<br />

hospital environment. Afr. J. Biotechnol. 7: 3535-3539.<br />

Moran GJ, Amii RN, Abrahamian FM, Talan DA (2005).<br />

Methicillinresistant Staphylococcus aureus in<br />

community-acquired skin infections. Emerg. Infect. Dis.<br />

11: 928-930.<br />

Pitout JDD, Church DL, Gregson DB, Chow BL,<br />

McCracken M, Mulvey M, Laupland KB (2007).<br />

Molecular epidemiology of CTXM-producing<br />

Escherichia coli in the Calgary Health Region:<br />

emergence of CTX-M-15-producing isolates.<br />

Antimicrob. Agents Chemother. 51: 1281-1286.<br />

Pelczar JR, Harley JP, Klein DA (1993). <strong>Microbiology</strong>:<br />

Concepts and Applications. McGraw-Hill Inc., New York,<br />

pp. 591-603.<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 $550 handling fee. Publication of an article in the African Journal of<br />

<strong>Microbiology</strong> <strong>Research</strong> 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> <strong>Journals</strong>.<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> <strong>Journals</strong> 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 from the AJMR whether or<br />

not 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> <strong>Journals</strong> 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> <strong>Journals</strong> 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.


International African Journal Journal of Medicine of <strong>Microbiology</strong> and Medical <strong>Research</strong> Sciences<br />

nces<br />

Review<br />

Table of Contents: Volume 6 Number 24 28 June, 2012<br />

ARTICLES<br />

Soil quality and microbes in organic and conventional farming systems 5077<br />

Shu Wang, Zheng Li and Guosheng Fan<br />

<strong>Research</strong> Articles<br />

L-cysteine desulfhydrase-an enzyme which can be assayed in soil but<br />

is unlikely to function in the environment 5086<br />

Sulaiman Ali Alharbi, Salah Hajomer, Milton Wainwright, Najat A.<br />

Marraiki and Saleh A. Eifan<br />

Multi-drug resistant pattern and plasmid profile of Escherichia coli and<br />

other gram-negative bacteria isolates from clinical specimen in Benin<br />

City, Nigeria 5091<br />

E. C. Emerenini and P. I. Okolie<br />

Fermentation of Cucumeropsis seeds, an uncommon substrate for<br />

ogiri production 5095<br />

Odibo F. J. C., Nwabunnia E., Ezekweghi C. C. and Uzoeghe E.<br />

Combined effect of NPK levels and foliar nutritional compounds on growth<br />

and yield parameters of potato plants (Solanum tuberosum L.) 5100<br />

Mona, E. Eleiwa Ibrahim, S. A. and Manal, F. Mohamed


nces<br />

Table of Contents: Volume 6 Number 24 28 June, 2012<br />

Table of Content: Volume 6 Number 23 21 June, 2012<br />

ARTICLES<br />

ARTICLES<br />

Antimicrobial properties of skin mucus from four freshwater cultivable<br />

Fishes (Catla catla, Hypophthalmichthys molitrix, Labeo rohita and<br />

Influence Ctenopharyngodon of ciprofloxacin idella) on glioma cell line GL26: A new application for 5110<br />

an Balasubramanian old antibiotic S., Baby Rani P., Arul Prakash A., Prakash M., Senthilraja P.<br />

Abdolreza and Gunasekaran Esmaeilzadeh, G. Massoumeh Ebtekar, Alireza Biglari and<br />

Zuhair Mohammad Hassan 4891<br />

Evaluation of oxidative stress in patients with tularemia 5121<br />

Identification Sema Koc, Erkan of microbial Sogut, Fazilet diversity Duygu, in caecal Levent content Gurbuzler, of broiler Ahmet chicken Eyibilen<br />

S. Nathiya, and Ibrahim G. Dhinakar Aladag Raj, A. Rajasekar, D. Vijayalakshmi and T. Devasena 4897<br />

Microbial Introducing quality a novel of some facultative non-sterile nitrifying pharmaceutical bacterium, products "Nitrobacteria sourced<br />

from hamadaniensis" some retail pharmacies in Lagos, Nigeria<br />

5126<br />

Adeola Mohammad Anifowoshe Zare, R., Mohammad Opara Morrison Hassan I. and Heidari, Adeleye Farkhondeh Isaac A. Pouresmaeili, 4903<br />

Maryam Niyyati and Mohammad Moradi<br />

Molecular detection of adhesins genes and biofilm formation in methicillin<br />

resistant Antibacterial Staphylococcus activities aureus of nicotine and its zinc complex 5134<br />

Karima Muhammad BEKIR, Omayma Idrees Zaidi, HADDAD, Feroza Mohammed Hamid Wattoo, GRISSA, Muhammad Kamel CHAIEB, Hamid<br />

Amina Sarwar BAKHROUF Wattoo, and Syed Salem Ahmed IBRAHIM Tirmizi and ELGARSSDI Saad Salman<br />

4908<br />

Amylase An in-vitro production model for by moderately studying the halophilic adhesion Bacillus of Lactobacillus cereus in bulgaricus solid<br />

state in soyghurt fermentation and enteropathogenic Escherichia coli (EPEC) on HEp-2 Cells 5142<br />

P. Vijayabaskar, Jetty Nurhajati, D. Sayuti, Jayalakshmi Chrysanti and and T. Shankar Syachroni<br />

4918<br />

Networking The occurrence clusters of and Bacillus sequence thuringiensis characteristics strains in of chemical clustered intensive regularly rice<br />

interspaced growing ecosystem short palindromic repeats (CRISPR) direct repeats and their 2299<br />

evolutionary P. Kannan, comparison R. Xavier, R. with Josephine, cas1 genes K. Marimuthu, in lactic acid S. Kathiresan1 bacteria and<br />

Kaibo S. Sreeramanan<br />

Deng, Fei Liu, Chuntao Gu and Guicheng Huo 4927<br />

Development of a DNA-dosimeter system as biomarker to monitor the<br />

Antibacterial effects of pulsed screening ultraviolet of the root, radiation stem and leaf extracts of Terminalia albida sc. 5153<br />

elliot Myriam on selected BEN SAID, pathogenic Masahiro bacteria OTAKI, Shinobu KAZAMA and<br />

S. M. Abdennaceur Ayodele, G. HASSEN Alpheus and O. M. Iruaga 1457


Table of Contents: Volume 6 Number 24 28 June, 2012<br />

nces<br />

ARTICLES<br />

A survey of Enterobacteriaceae in hospital and community acquired<br />

infections among adults in a tertiary health institution in Southwestern<br />

Nigeria 5162<br />

Hassan A. O., Hassan R. O., Muhibi M. A. and Adebimpe W. O.<br />

Investigation of genetic variability among different isolates of<br />

Fusarium solani 5168<br />

Uzma Bashir, Sidra Javed and Muhammad Shafiq<br />

Stenotrophomonas koreensis a novel biosurfactant producer for abatement<br />

of heavy metals from the environment 5173<br />

Patil S. N., Aglave B. A., Pethkar A. V. and Gaikwad V. B.<br />

Combining biocontrol agent and high oxygen atmosphere, to reduce<br />

postharvest decay of strawberries 5179<br />

Kraiem Menel, Kachouri Faten and Hamdi Moktar<br />

Expression, purification and antigenic evaluation of toxin-coregulated<br />

pilus B protein of Vibrio cholera 5188<br />

Kiaie S., Abtahi H., Alikhani M. and Mosayebi G<br />

Repellent and fumigant activity of Alpinia officinarum rhizome extract<br />

against Tribolium castaneum (Herbst) 5193<br />

Jianhua Lu, Jiejing Wang, Ya Shi and Lailin Zhang<br />

Detection of QnrB alleles in Enterobacteriaceae and quinolone-resistance<br />

expression 5198<br />

Dongguo Wang, Jin Zhang, Haibao Wang, Yongxiao Qi, Yong Liang and<br />

Lianhua Yu


Table of Contents: Volume 6 Number 24 28 June, 2012<br />

nces<br />

ARTICLES<br />

Analysis of bacteria associated with Acropora solitaryensis by culture-<br />

dependent and -independent methods 5205<br />

Liu Z. H, Chen W, Gao L, Zhao JJ, Ren C.H, Hu C. Q. and Chen C<br />

Simple and rapid detection of Salmonella sp. from cattle feces using<br />

polymerase chain reaction (PCR) in Iran 5210<br />

Aida Jadidi, Seyed Davood Hosseni, Alireza Homayounimehr, Adel Hamidi,<br />

Sepideh Ghani and Behnam Rafiee<br />

A molecular genetic study on fruiting-body formation of Cordyceps militaris 5215<br />

TingChi Wen, MinFeng Li, JiChuan Kang and Jing He<br />

Cloning and prokaryotic expression of ghrelin gene in crucian carp<br />

(Carassius auratus) 5222<br />

AChaowei Zhou, Xindong Zhang, Tao Liu, Rongbing Wei, Dengyue Yuan and<br />

Zhiqiong Li<br />

Insight into microevolution of Streptomyces rimosus based on analysis<br />

of zwf and rex genes 5229<br />

Zhenyu Tang, Paul R. Herron, Iain S. Hunter, Siliang Zhang and Meijin Guo<br />

Fatigue-alleviating effect of polysaccharides from Cyclocarya paliurus<br />

(Batal) Iljinskaja in mice 5243<br />

Wang Jinchao and Wang Kangkang.<br />

Aggressiveness, diversity and distribution of Alternaria brassicae isolates<br />

infecting oilseed Brassica in India 5249<br />

P. D. Meena, A. Rani, R. Meena, Pankaj Sharma, R. Gupta1 and P. Chowdappa.


nces<br />

Table of Contents: Volume 6 Number 24 28 June, 2012<br />

ARTICLES<br />

Heterogeneity of aminoglycoside resistance genes profile in clinical<br />

Staphylococcus aureus isolates 5259<br />

Salwa Bdour<br />

Evaluating the effect of acetic acid, furfural and catechol on the growth<br />

and lipid accumulation of Trichosporon fermentans by response surface<br />

methodology 5266<br />

Chao Huang, Peng Wen, Hong Wu, Wen-yong Lou and Min-hua Zong.<br />

Purification and characterization of Aspergillus niger α-L-rhamnosidase<br />

for the biotransformation of naringin to prunin 5276<br />

Hui Ni, An Feng Xiao, Hui Nong Cai, Feng Chen, Qi You and Yun Zheng Lu.<br />

Short Communication<br />

Prevalence of Hepatitis B and C among hemodialysis and thalassemic<br />

patients in a special medical center in East Tehran in 2011 5285<br />

Mohammad Aminianfar, Ali-Asghar Saidi, Alireza Fallah and Amin Barghi.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5077-5085, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1541<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Review<br />

Soil quality and microbes in organic and conventional<br />

farming systems<br />

Shu Wang 1# , Zheng Li 2# and Guosheng Fan 1 *<br />

1 College of Landscape Architecture, Southwest Forestry University, Kunming 650224, China.<br />

2 College of horticulture, Northwest A&F University, Yangling, Shanxi 712100, China.<br />

Accepted 23 April, 2012<br />

Compared to conventional farming practices, organic farming practices have an advantage over<br />

improving soil quality and gain worldwide acceptance. Here we summarize soil properties, microbial<br />

biomass, abundance and diversity of microbes between organic and conventional soil, as well as<br />

advantages and disadvantages of various molecular approaches for assessing the diversity of<br />

microbial communities. The results confirm that higher levels of total and organic C, total N and soluble<br />

organic C are observed in all of the organic soil. However, other soil properties are inconsistent<br />

between organic and conventional soil. Consistently, all the studies show that higher levels of microbial<br />

biomass C and N are found in organic soil with different plants. Nevertheless, different molecular<br />

approaches for assessing the diversity of microbial communities could lead to different results in the<br />

same study. In addition, most studies consider that organic management can improve the abundance<br />

and diversity of total bacteria and fungi. Knowledge and assessment of organic and conventional<br />

farming systems still need to be evaluated in the future work.<br />

Key words: Organic and conventional soil, microbial biomass, abundance, diversity, soil properties.<br />

INTRODUCTION<br />

Conventional agriculture has played an important role in<br />

improving food productivity to meet human demands but<br />

is often associated with problems such as nitrate leaching<br />

(Foster et al., 1986), soil erosion (Jordahl and Karlen,<br />

1993), and environmental contamination (Horrigan et al.,<br />

2002). On the other hand, Organic farming has the<br />

possibility of reducing the negative effects of conventional<br />

agriculture, because the system avoids or largely<br />

excludes applications of synthetic fertilizers and<br />

pesticides, relies on organic inputs and recycling for<br />

nutrient supply, livestock feed additives, and emphasizes<br />

cropping system design and biological processes for pest<br />

management (Rigby and Cáceres, 2001). Organic<br />

agriculture is gaining worldwide acceptance and has<br />

*Corresponding author. E-mail: wangtree@msn.com. Tel: +86<br />

0871 3863023. Fax: +86 0871 3863023.<br />

# Author contributed equally to this work.<br />

been expanding at annual rate of 20% in the last three<br />

years (2004 to 2007) accounting for 32.3 million hectares<br />

worldwide, and this tendency seems to be increasing<br />

(Willer and Yussefi, 2004).<br />

A widely accepted definition of soil quality is the<br />

capacity of a soil to function within ecosystem and landuse<br />

boundaries, to sustain biological productivity,<br />

maintain environmental quality and promote plant and<br />

animal health (Doran and Parkin, 1994). Varying studies<br />

with regard to biological, chemical and physical soil<br />

properties have been investigated in recent years by<br />

comparing conventional farming systems with organic<br />

farming systems. Compared to conventional farming<br />

practices, organic farming practices have an advantage<br />

over improving soil quality (Reganold et al., 1993;<br />

Reganold et al., 2001; Mäder et al., 2002), but few<br />

studies show inconsistent results (Trewavas, 2004). As<br />

mentioned above, more researches should be conducted<br />

in the future for a better understanding of the soil<br />

properties under conventional and organic farming<br />

practices.


5078 Afr. J. Microbiol. Res.<br />

Soil microbes play a critical role in ecological processes<br />

such as recycling of nutrients, nutrients turnover,<br />

decomposition and transformation of organic materials<br />

(Marshall, 2000; Nannipieri et al., 2003). Microbial<br />

processes are important in organic farming system<br />

because a lot of organic matters are used in organic<br />

systems. Soil active microbial communities are vital in<br />

synchronizing nutrient release from organic matter and<br />

nutrient demands for plant growth in organic farming<br />

system. Also, it can suppress plant diseases caused by<br />

soil borne pathogens, mainly by antibiosis and<br />

competition for nutrients (Whipps, 1997; Mazzola, 2002;<br />

Garbeva et al., 2004). However, the chemical products<br />

applied in the conventional systems can not only<br />

contaminate natural resources but also suppress the soil<br />

microbial activity, which make the system less<br />

sustainable and more dependent from agricultural inputs<br />

(Anaya, 1999; Bengtsson et al., 2005). Changes in<br />

microbial communities could be used to predict the<br />

effects of ecosystem perturbations by organic and<br />

conventional management practices (Bending et al.,<br />

2000; Poudel et al., 2002; van Bruggen and Semenov,<br />

2000). In addition, knowledge of the changes in soil<br />

microbial processes is important in order to understand<br />

how tillage systems can be better managed to improve<br />

the soil.<br />

For a better understanding of conventional and organic<br />

farming systems, therefore, needs comprehensive<br />

knowledge and monitoring of soil properties and<br />

microbes in soil under conventional and organic farming<br />

systems. This review presents the current understanding<br />

about the difference of soil properties, microbial biomass,<br />

and microbial abundance and diversity between<br />

conventional and organic farming systems. It will provide<br />

first-hand information to the agronomists to formulate<br />

recommendations for crop rotations and cropping<br />

systems, to increase crop production with reduced use of<br />

herbicides.<br />

SOIL PROPERTIES IN ORGANIC AND<br />

CONVENTIONAL FARMING SYSTEMS<br />

Although, there are a number of studies investigating soil<br />

physicochemical properties in conventional and organic<br />

farming systems (Clark et al., 1999; Tu et al., 2006;<br />

Marinari et al., 2006), none of them could give an<br />

accurate answer to the question whether organic farming<br />

practices could improve soil quality or not?<br />

It is undoubted that higher levels of total and organic C,<br />

total N and soluble organic C are observed in all of the<br />

organic soil with various plants including rice, kiwifruit,<br />

strawberry, potato, wheat, tomato, grape (Table 1); N and<br />

C are key limiting factors for plants growth. Unlike the<br />

conventional farming system, the plants in organic<br />

farming system cannot only use a variety of organic<br />

fertility amendments but all consistently incorporated fall<br />

cover crops and reasonable rotation. To some extent,<br />

higher N and C in organic farming system suggest that<br />

soil quality in organic farms have been improved.<br />

In comparing conventional and organic soil, there is a<br />

general trend of pH being higher or equal organically over<br />

conventional cultivated soils. Only one research found<br />

that there was no significant difference in the pH of<br />

organic soils (van Diepeningen et al., 2006). Higher pH<br />

levels in mildly acidic soil under organic management<br />

seems to be reasonable, one is because decomposition<br />

of organic products released Ca and Mg nutrients which<br />

can slightly increase the soil pH (Ramaswami and Son,<br />

1996), other organic manures and organic matter inputs<br />

can increase buffering capacity of soils, preventing<br />

swings in pH (Arden-Clarke and Hodges, 1988; Stroo and<br />

Alexander, 1986). In addition, a lower pH in conventional<br />

systems and the significant loss of soil organic carbon<br />

might be explained by the use of acidifying mineral<br />

fertilizers.<br />

However, the available P and phosphorus, potassium<br />

and EC in the studied soils above are rather unexpected<br />

finding. Levels of available P and Phosphorus were<br />

higher in organic soil than in conventional soils<br />

(Sugiyama et al., 2010; Lawanprasert et al., 2007; de<br />

Oliveira Freitas et al., 2011). This disagreed with findings<br />

from several other studies (Reganold et al., 2010;<br />

Birkhofer et al., 2008; Carey et al., 2009). The highest<br />

value in nitrogen, phosphorus, and potassium (NPK) plot<br />

in conventional farming system indicates that P fertilizer<br />

application significantly increase soil P concentration.<br />

Hence, Low level of P in conventional soil may be<br />

attributed to more P uptake by crop in plant, so less P is<br />

left for raising its status in soil. Most studies considered<br />

that potassium were higher in organic soil than<br />

conventional soil (Lawanprasert et al., 2007; Reganold et<br />

al., 2010; Sugiyama et al., 2010), however, converse<br />

results were found recently (Birkhofer et al., 2008). We<br />

conclude that the variation of K in the convention and<br />

organic soil is the same as phosphorus. In addition, it is<br />

difficult to explain the regularity of EC variation between<br />

the conventional and organic soil. Relatively stable EC<br />

levels in the organic system indicated that animal<br />

manures did not increase salinity. But significant<br />

difference was observed in different duration of organic<br />

management paddy soil. The short-term (2, 3 year)<br />

organically managed paddy soil was higher than<br />

conventional soil, whereas this trends were not found in<br />

long-term (5, 9 year) organically managed soil (Wang et<br />

al., 2012). It seems that the value of EC is affected by<br />

many complex factors.<br />

Few studies showed that higher levels of cation<br />

exchange capacity (CEC) were found in organic<br />

management soil (Burger and Jackson, 2003; de Oliveira<br />

Freitas et al., 2011). In fact, the farmyard manure can<br />

increase CEC (Das and Dkhar, 2011). It seems<br />

reasonable that as a part of organic matter, farmyard<br />

manure has been added into the organic farming. In the


Table 1. Overview of the Soil properties and microbial biomass C and N in conventional and organic farming systems soil.<br />

Soil properties<br />

Organic<br />

management<br />

Conventional<br />

management<br />

pH +,+,+,+,+,- -,-,-,-,-,+<br />

Plant in soil References<br />

Rice, tomato, strawberry,<br />

potato<br />

EC -,-,+,+ +,+,-,- Rice, grape, potato<br />

CEC +,+ -,- Tomato, grape<br />

Wang et al. 5079<br />

Wang et al. (2012), Gajda and Martyniuk (2005), Burger and Jackson (2003),<br />

Reganold et al. (2010), Sugiyama et al. (2010) and van Diepeningen et al.<br />

(2006).<br />

Gajda and Martyniuk (2005), de Oliveira Freitas et al. (2011), Reganold et al.<br />

(2010) and Sugiyama et al. (2010).<br />

Burger and Jackson (2003), de Oliveira Freitas et al. (2011), Bending et al.<br />

(2000) and Kennedy and Smith (1995).<br />

SOC +,+,+ -,-,- Rice, kiwifruit Araújo et al. (2009), Carey et al. (2009) and Leifeld et al. (2009).<br />

Total C +,+,+ -,-,- Strawberry, potato<br />

Organic C +,+,+,+,+ -,-,-,-,- Wheat, tomato, grape<br />

Total N +,+,+,+,+,+,+,+ -,-,-,-,-,-,-,-<br />

Wheat, kiwifruit, tomato,<br />

strawberry, potato, rice<br />

Leifeld et al. (2009), Sugiyama et al. (2010), Tu et al. (2006) and Wang et al.<br />

(2012).<br />

Birkhofer et al. (2008), Liu et al. (2007), Burger and Jackson (2003), Okur<br />

(2009) and van Diepeningen et al. (2006).<br />

Birkhofer et al. (2008), Carey et al. (2009), Liu et al. (2007), Burger and<br />

Jackson (2003), Leifeld et al. (2009), Sugiyama et al. (2010), Tu et al. (2006),<br />

van Diepeningen et al. (2006) and Wang et al. (2012).<br />

Total P -,+ +,- Strawberry, potato Reganold et al. (2010) and Sugiyama et al. (2010).<br />

Available P +,-,-,+ -,+,+,- Rice, wheat, kiwifruit, grape<br />

K +,-,+,+ -,+,-,-<br />

Rice, wheat, strawberry,<br />

potato<br />

Lawanprasert et al. (2007), Birkhofer et al. (2008), Carey et al. (2009) and de<br />

Oliveira Freitas et al. (2011).<br />

Lawanprasert et al. (2007), Birkhofer et al. (2008), Reganold et al. (2010) and<br />

Sugiyama et al. (2010).<br />

Ca +,+ -,- Rice Lawanprasert et al. (2007) and Reganold et al. (2010).<br />

S +, -, Strawberry Reganold et al. (2010).<br />

Mg 2+ +,- -,+ Rice, strawberry Lawanprasert et al. (2007) and Reganold et al. (2010).


5080 Afr. J. Microbiol. Res.<br />

Table 1. Contd.<br />

Na+ +,+, -,-, Rice, strawberry Lawanprasert et al. (2007) and Reganold et al. (2010).<br />

Fe + - Rice Lawanprasert et al. (2007).<br />

Mn +,- -,+ Rice, strawberry Lawanprasert et al. (2007) and Reganold et al. (2010).<br />

Cu +,+,+, -,-,-, Rice, strawberry, potato Lawanprasert et al. (2007), Sugiyama et al. (2010) and Reganold et al. (2010).<br />

Zn -,+,+ +,-,- Rice, strawberry, potato Lawanprasert et al. (2007), Sugiyama et al. (2010) and Reganold et al. (2010).<br />

NO3 +,+,+,-, -,-,-,+,<br />

+, means the higher content; -, the lower content.<br />

future, more studies should examine the value of<br />

CEC in organic soil.<br />

Comparing the studies about C, N, P and K, few<br />

studies focused on surveying the levels of<br />

calcium, sulphur, sodium, copper, magnesium,<br />

iron, manganese and zinc in organic and<br />

conventional farms. Depending on limited studies,<br />

we find that the levels of calcium, sulphur, sodium,<br />

copper are higher in organic than conventional<br />

soils (Table 1). However, the levels of magnesium,<br />

iron, manganese and zinc are uncertain in view of<br />

present studies. The elevated levels of copper<br />

Pea, wheat, tomato,<br />

strawberry<br />

NH4 +,+,-,-, -,-,+,+, Tomato, strawberry<br />

Microbial biomass C +,+,+,+,+,+,+ -,-,-,-,-,-,-<br />

Microbial biomass N +,+,+,+,+ -,-,-,-,-<br />

Wheat, kiwifruit, tomato<br />

and pepper, grape,<br />

strawberry<br />

Wheat, kiwifruit, tomato<br />

and Pepper<br />

and zinc in soils from organic farms may be<br />

associated with the use of different animal and<br />

poultry manures on some of the farms. To better<br />

understand the function of these elements in<br />

organic soil, more studies should consider these<br />

elements as an important parameter to<br />

investigate.<br />

There were not consistent results about NO3<br />

and NH4 in organic and conventional soil (Wang et<br />

al., 2012; Burger and Jackson, 2003; Reganold, et<br />

al., 2010; van Diepeningen et al., 2006).<br />

Moreover, the levels of NO3 and NH4 in different<br />

Girvan et al. (2003), Burger and Jackson (2003), Reganold et al. (2010) and<br />

van Diepeningen et al. (2006).<br />

Wang et al. (2012), Burger and Jackson (2003), Reganold et al. (2010) and<br />

van Diepeningen et al. (2006).<br />

Gajda and Martyniuk (2005), Carey et al. (2009), Liu et al. (2007), Wander et<br />

al. (1995), Burger and Jackson (2003), Okur et al. (2009), Leifeld et al.<br />

(2009) and Tu et al. (2006).<br />

Gajda and Martyniuk (2005), Carey et al. (2009), Liu et al. (2007), Wander et<br />

al. (1995) and Tu et al. (2006).<br />

duration of organic soil are also significantly<br />

different (Wang, 2011). Regardless of<br />

conventional and organic soil, different plants<br />

need different N form resulting in different content<br />

of NO3 and NH4 in soil. On other hand, plants face<br />

additional competition for NO3 and NH4 by<br />

microbes in soil (Poudel et al., 2002). In addition,<br />

the factors including extracted methods and the<br />

degree fresh soil and the machine detected the<br />

NO3 and NH4 are different in many studies. All<br />

mentioned above cannot answer the regular of<br />

NO3 and NH4 in organic and conventional soil


exactly.<br />

MICROBIAL BIOMASS IN ORGANIC AND<br />

CONVENTIONAL SOIL<br />

Microbial biomass C and N are often more significantly<br />

correlated with chemical characteristics of soils and with<br />

crop yields (Gajda et al., 2000; Martyniuk et al., 2001;<br />

Myśków et al., 1996). The microbial biomass is a small<br />

but important reservoir of nutrients (C, N, P and S) and<br />

many transformations of these nutrients occur in the<br />

biomass (Dick, 1992). As a consequence, microbial<br />

processes make a large contribution to the release and<br />

availability of nutrients required for crop growth.<br />

Soil management influenced soil microbes and soil<br />

microbial processes. Interestingly, all the studies showed<br />

that higher levels of microbial biomass C and N were<br />

found in organic soil with different plants (Gajda and<br />

Martyniuk, 2005; Carey et al., 2009; Liu et al., 2007;<br />

Wander et al.,1995; Burger and jackson, 2003; Okur et<br />

al., 2009; Leifeld et al. 2009; Tu et al., 2006). In organic<br />

management systems nitrogen was supplied in organic<br />

form via cover crops and manures and large amounts of<br />

C were included in the mass of organic material required<br />

to achieve adequate amounts of N (Gunapala and Scow,<br />

1998). An understanding of microbial processes is<br />

important for the management of farming systems<br />

(Melero et al., 2006). Otherwise, maintaining soil<br />

microbial biomass (SMB) and micro flora activity and<br />

diversity is fundamental for sustainable agricultural<br />

management (Insam, 2001).<br />

ABUNDANCE AND DIVERSITY OF MICROBES IN<br />

ORGANIC AND CONVENTIONAL SOIL<br />

To better manage soil and minimize negative<br />

environmental impacts, it is necessary to obtain more<br />

detailed and predictive understanding of the microbial<br />

communities responsible for these activities and how they<br />

may respond to organic agricultural systems. Although<br />

molecular approaches have been well developed and<br />

used in analyzing microbes in soil, few studies focused<br />

on the abundance and diversity of microbial community in<br />

organic and conventional soil. The Table 2 shows that the<br />

microbial abundance by culturable or Q-PCR methods<br />

and diversity by the molecular approaches such as<br />

DGGE, T-RFLP, clone libraries, microarray and pyro<br />

sequencing are evaluated successfully in our<br />

summarized studies. In all the studies, higher abundance<br />

and diversity of total culturable bacteria and fungi have<br />

been observed in organic soil by various methods. But<br />

different methods could inconsistently result. Consistent<br />

results have been obtained by DGGE and T-RFLP to<br />

analyze the soil communities in organic soil (Girvan et al.,<br />

2003), however, the contrast result was found that<br />

Wang et al. 5081<br />

the abundance and diversity of total culturable bacteria<br />

between organic and conventional soils by CLPP and<br />

DGGE (Liu et al., 2007). This reminds us to choose<br />

suitable method for different soil in future work.<br />

Soil microbes have played a critical role in ecological<br />

processes such as recycling of nutrients, nutrient<br />

turnover, decomposition and transformation of organic<br />

materials (Marshall, 2000; Nannipieri et al., 2003). The<br />

nitrogen-fixing bacteria and ammonia-oxidizing played an<br />

important role in Nitrogen (N) cycling, however, some<br />

studies above mainly focused on the total bacteria and<br />

fungi. Orr et al. (2011) found that management regimen<br />

affecting both the total bacterial community and the freeliving<br />

diazotroph community could be secondary to other<br />

factors such as time of sampling and previous crop. In<br />

addition, higher abundance of the nitrogen-fixing bacteria<br />

and ammonia-oxidizing were observed in organic<br />

management paddy soil except for 2 years organic soil. A<br />

better understanding of the recycling of nutrients in<br />

conventional and organic farming systems, therefore,<br />

needs comprehensive knowledge and monitoring of<br />

microbes involved in N and C cycle under conventional<br />

and organic farming systems.<br />

MOLECULAR APPROACHES TO ASSESS SOIL<br />

MICROBES<br />

Various molecular approaches have been developed and<br />

successfully applied to analyze the microbial community<br />

in various soil environments, such as denaturing gradient<br />

gel electrophoresis (DGGE), single strand conformation<br />

polymorphism (SSCP), amplified ribosomal DNA<br />

restriction analysis (ARDRA), microarrays methods,<br />

terminal restriction fragment length polymorphism (T-<br />

RFLP), length heterogeneity-polymerase chain reaction<br />

(LH-PCR), ribosomal intergenic spacer analysis (RISA),<br />

microarray and PCR clone libraries (Girvan et al., 2003;<br />

Sanz and Köchling, 2007; Ranjard et al., 2000; Mills et<br />

al., 2007; Reganold et al., 2010; Ottesen, 2008). In<br />

addition, real-time quantitative PCR (qPCR) has been<br />

used successfully to determine the abundance of nifh<br />

gene (Wang et al., 2012). These methods can help to<br />

better understand the relative abundance and community<br />

structure and composition of microbes in organic<br />

agricultural systems.<br />

The most important advantages and disadvantages of<br />

individual methods are summarized in Table 3. DGGE<br />

and TGGE require laborious technical optimization<br />

including calibration of the linear gradient of DNA<br />

denaturants (chemical or physical) and improvement of<br />

the PCR primers with the insertion of a GC clamp to<br />

obtain better electrophoretic separation of the fragments.<br />

The main advantage of DGGE and SSCP analysis<br />

provides full sequences that can be subject to further<br />

analysis technically and simple gel preparation, however,<br />

only short sequences can be analyzed. And the


5082 Afr. J. Microbiol. Res.<br />

Table 2. Overview of microbial abundance and diversity in conventional and organic farming systems soil.<br />

Organic management Conventional management Abundance Methods Diversity Methods References<br />

+, -, Shannon diversity index DGGE, T-RFLP Girvan et al. (2003)<br />

-, -, Total culturable bacteria Culturable Shannon diversity index DGGE<br />

+, -, Total culturable fungi Culturable Shannon diversity index CLPP<br />

Liu et al. (2007)<br />

+, -, Bacterial diversity DGGE van Diepeningen et al. (2006)<br />

+, -, Total detected genes signal intensity Microarray Diversity (Simpson’s reciprocal index) Microarray Reganold et al. (2010)<br />

+, -, Diversity and evenness Pyro sequencing Sugiyama et al. (2010)<br />

+, -, The bacterial and fungal populations Culturable Das and Dkhar (2011)<br />

+, -, Nitrogen-fixing bacteria Q-PCR Diversity DGGE Wang et al. (2012)<br />

+, -, Ammonia-oxidizing bacteria Q-PCR Diversity DGGE Shu et al. (2011)<br />

+, -, Bacterial and archaeal OTUs, Chao1, Shannon Clone Libraries Ottesen (2008)<br />

PLFA analysis is the ability to assess the diversity<br />

of both bacterial and fungal communities<br />

simultaneously. But this high coverage is<br />

unfortunately contrasted by a very low level of<br />

taxonomic discrimination. While an advantage of<br />

microarrays is that they can overcome the<br />

potential PCR bias and simultaneously analyze<br />

about ten thousand samples, only the part of the<br />

community defined by the test probes can be<br />

examined and impossible discover a new species.<br />

Care is needed in interpreting the composition of<br />

microbial communities by molecular techniques<br />

because the method of extraction can influence<br />

patterns obtained by amplified ribosomal DNA<br />

restriction analysis (ARDRA) or RISA (Martin-<br />

Laurent et al., 2001). Usually, T-RFLP has the<br />

highest resolution of the PCR-based methods and<br />

can reliably analyze a large number of samples,<br />

but the shortcomings of T-RFLP are loss of some<br />

variability and low phylogenetic specificity of<br />

terminal restriction sites. Additionally, FISH<br />

(fluorescent in situ hybridization) can directly<br />

analysis without extraction of nucleic acid.<br />

Nevertheless, Low fluorescent intensity cannot be<br />

detected. As stated above, we suggest that two<br />

methods should be used to better investigate the<br />

microbial community overall in environmental<br />

samples.<br />

SUMMARY AND FUTURE PROSPECTS<br />

To sum up, it is undoubted that higher levels of<br />

total and organic C, total N and soluble organic C<br />

are observed in all of the organic soil. However,<br />

other soil properties are inconsistent between<br />

organic and conventional soil. Consistently, all the<br />

studies show that higher levels of microbial<br />

biomass C and N are found in organic soil with<br />

different plants. Nevertheless, different molecular<br />

approaches for assessing the diversity of<br />

microbial communities can lead to different results<br />

in the same study. In addition, most studies<br />

consider that organic management could improve<br />

the abundance and diversity of total bacteria and<br />

fungi.<br />

In future work, we suggest soil microbial<br />

ecologist to pay a more attention to study the<br />

inconsistent parameters observed in organic and<br />

conventional soil. Suitable molecular approaches<br />

should be examine to study the different type of<br />

soil under conventional and organic, and at least<br />

two methods should be used to better investigate<br />

the microbial community overall in environmental<br />

samples. At last, a better understanding of the<br />

recycling of nutrients in conventional and organic<br />

farming systems, therefore, needs comprehensive<br />

knowledge and monitoring of microbes involved in<br />

N and C cycle under conventional and organic<br />

farming systems.<br />

ACKNOWLEDGEMENTS<br />

This research is funded by University Innovation<br />

Team of Landscape Architecture from Yunnan<br />

Province, Southwest Forestry University<br />

(23002802), Ornamental Plant and Horticulture<br />

key disciplines of Yunnan Province, Southwest


Table 3. Advantages and disadvantages of common fingerprinting methods used in the analysis of soil microbial communities.<br />

Methods Advantages Disadvantages References<br />

DGGE∗/TGGE<br />

SSCP<br />

T-RFLP<br />

Provides full sequences that can be subject to further<br />

analysis technically; obtain an overview of the dominant<br />

species<br />

Provides full sequences that can be subject to further<br />

analysis technically; obtain an overview of the dominant<br />

species<br />

Technically simple and reproducible; high discrimination<br />

power (number of types/analysis);<br />

ARDRA Technically simple and convenient<br />

LH-PCR/ARISA<br />

FISH<br />

PLFA<br />

Microarrays<br />

Technically simple; replicate profiles are highly<br />

reproducible; it can quickly evaluate community changes<br />

Direct analysis without extraction of nucleic acid;<br />

generally quantitative;<br />

No bias due to PCR; cover whole communities across<br />

kingdoms; quantitative description of the community<br />

No bias due to PCR; simultaneously analyze about ten<br />

thousand samples; high sample throughput expensive<br />

equipment parallel analysis of different parameters<br />

16SrDNA library Technically simple, can evaluate the community overall<br />

∗See text for the explanation of abbreviations.<br />

Only short sequences < 400 bp can be analyzed;<br />

DNA fragments of different species might have<br />

similar electrophoretic mobility<br />

Only short sequences < 200 bp can be analyzed<br />

Loss of some variability (sequences not cleaved or<br />

cleaved near to primer); low phylogenetic<br />

specificity of terminal restriction sites;<br />

Affected by PCR biases and the choice of the<br />

enzyme;<br />

Low discrimination power; amplicon distributions<br />

are sometimes difficult to resolve with the current<br />

software; one amplicon can represent more than<br />

one taxon<br />

Low fluorescent intensity cannot be detected; its<br />

rRNA sequence must be known (if the probe has<br />

not yet been published);<br />

Low taxonomic separation limited to community<br />

composition analysis; not a good choice as a<br />

standard alone method<br />

Detects only sequences corresponding to probes;<br />

detection limit lower than in PCR-based methods;<br />

impossible discover a new species;<br />

Only detected the absence or exist between to<br />

samples; PCR biases; selected clone numbers<br />

Wang et al. 5083<br />

Sanz and Köchling (2007),<br />

Muyzer et al. (1993) and<br />

Nannipieri et al. (2003).<br />

Lee et al. (1996), Dohrmann and<br />

Tebbe (2004) and Sanz and<br />

Köchling (2007).<br />

Liu et al. (1997) and Nannipieri<br />

et al. (2003).<br />

Ranjard et al. (2000).<br />

Fisher and Triplett (1999) and<br />

Mills et al. (2007).<br />

Dahllof (2002) and Sanz and<br />

Köchling (2007).<br />

Findlay et al. (1989) and Sanz<br />

and Köchling (2007).<br />

Shalon et al. (1996) and Ranjard<br />

et al. (2000).<br />

Li et al. (2007).<br />

Forestry University (500017) and Ornamental Plant and Horticulture key lab of Yunnan Province, Southwest Forestry University (000703).


5084 Afr. J. Microbiol. Res.<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5086-5090, 28 June, 2012<br />

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

DOI: 10.5897/AJMR10.686<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

L-cysteine desulfhydrase-an enzyme which can be<br />

assayed in soil but is unlikely to function in the<br />

environment<br />

Sulaiman Ali Alharbi 1 *, Salah Hajomer 2 , Milton Wainwright 1,2 , Najat A. Marraiki 1 and Saleh A.<br />

Eifan 1<br />

1 Department of Botany and <strong>Microbiology</strong>, College of Science, King Saud University, P.O. Box 2455 Riyadh, 11451,<br />

Saudi Arabia.<br />

2 Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, S10 2TN, UK.<br />

Accepted 14 December, 2011<br />

An assay was developed to measure the activity of the enzyme L-cysteine desulfhydrase (CDA) in an<br />

agricultural loam soil. The optimum temperature for CDA in this soil was 60°C and the optimum pH for<br />

CDA in the soil was 8.5. CDA in the soil required the addition of pyridoxal phosphate to exhibit its<br />

maximum activity. However since no pyridoxal phosphate was found in this soil it is likely that activity<br />

of this enzyme in the soil will be limited by the lack of this cofactor. Our studies illustrate the important<br />

point that not all enzymes which can be assayed in soils under laboratory conditions will function in the<br />

environment, since some, as in the case of CDA, will be limited by a lack of an essential co-factor.<br />

Key words: Enzyme activity, enzyme L-cysteine desulfhydrase, agricultural loam soil, pyridoxal phosphate,<br />

microbial activity.<br />

INTRODUCTION<br />

Soils are known to exhibit a wide range of enzyme<br />

activities which are important in the cycling of nutrients<br />

through carbon, nitrogen and sulphur cycles (Skujins,<br />

1976; Burns, 1979). These enzymes are derived from<br />

animals, plants and microorganisms and are often immobilised<br />

in soils. Enzyme activity has been used to<br />

measure overall microbial activity (for example,<br />

dehydrogenase activity) as well as the role of individual<br />

enzymes in important soil processes, such as urea<br />

hydrolysis (urease) and the breakdown of cellulose<br />

(cellulase) (Burns, 1979, 1982). With the exception of the<br />

measurement of arylsulfatase activity (Li and Sarah,<br />

2003) relatively little attention has been paid to the soil<br />

enzymes involved in the mineralisation of organic sulphur<br />

compounds. Here, we report on the measurement of<br />

cysteine desulfhydrase (CDA) activity in an agricultural<br />

soil. This enzyme is important in the degradation of the<br />

*Corresponding author. E-mail: sharbi@ksu.edu.sa. Tel:<br />

00966555232656.<br />

amino acid cysteine, and therefore of organic sulphur,<br />

because it catalyses the desulfhydration of cysteine,<br />

liberating equimolar quantities of pryruvate, hydrogen<br />

sulphide and ammonia. CDA activity is widely distributed<br />

in bacteria and fungi (Ohkishi et al., 1981), although it<br />

has been reported to occur in coastal sand dunes (Skiba<br />

and Wainwright, 1983), its activity in a fertile agricultural<br />

soil, like one used here, appears not to have been<br />

previously reported. Here we report on CDA activity in<br />

soil by measuring the formation of pyruvate when Lcysteine<br />

and pyridoxal sulphate were incubated with soil<br />

in the presence of buffer. The objectives of this work<br />

were to determine whether CDA can be assayed in soil<br />

and if so, does this enzyme function in the soil<br />

environment?<br />

MATERIALS AND METHODS<br />

Soil properties<br />

An agricultural sandy loam [previous crop potatoes, was used<br />

organic (C, 3.2%; total N, 0.3%; pH, 6.1)].


Enzyme assay<br />

Triplicate samples of field moist soil (1 g) were treated with toluene<br />

(0.5 ml) in Universal bottles closed with screw caps and left for 15<br />

min. The enzyme reaction was initiated by addition of Tris HCl<br />

buffer (3 ml, 0.2 M, pH 8.3), L-cysteine (5 mm, 1 ml) and pyridoxal<br />

phosphate, 0.2 mM, 1 ml). The contents of the bottles were<br />

thoroughly mixed and the bottles were incubated at 37°C. After 2 h,<br />

the enzyme reaction was stopped by addition of trichloroacetic acid<br />

(TCA, 10% w/v). Two sets of controls were included a) where no<br />

cysteine was added and b) where the enzyme reaction was<br />

stopped immediately. The soils suspensions were filtered through<br />

Whatman No.1 filter paper and CDA activity was measured by the<br />

determining the concentration of pyruvate as follows:<br />

Determination of pyruvate<br />

To the filtrate (0.5 ml) was added TCA, a 0.3 ml (of 50% w/v<br />

solution), distilled water (2.2 ml) and 2,4-dintrophenylhydrazine (1<br />

ml, of a 1% solution in 2 M HCl); mixed and left for 10 min at room<br />

temperature. Sodium hydroxide (5 ml of a 2.5 N solution) was then<br />

added, and after 10 min incubation at room temperature, the<br />

reddish brown colour formed was measured at 445 nm. The<br />

pyruvate concentration was then determined by reference to a<br />

standard curve c ranging from 0-0.1 µmoles pyruvate (Case, 1932).<br />

Development of the CDA assay<br />

By using the basic assay described above, and varying one<br />

parameter at a time, the optimum conditions for the assay of CDA in<br />

this soil was determined. The following were determined: a) the<br />

optimum amount of soil; the reaction mixture was incubated for 2 h<br />

at 37°C with one of the following, 0, 0.5, 1.0, 2.0, 3.0, 4.0 g of soil;<br />

b) period of incubation; the reaction mixture was incubated at 37°C<br />

for 0, 2, 4, 8, 15, 25 hours; c) substrate concentration, L-Cysteine<br />

concentration of 0, 0.4, 0.8, 1.0, 1.5, 2.0, 3.0, and 4.0 mM; d) effect<br />

of temperature on CDA, reaction mixtures were incubated for 2 h at<br />

10, 20, 25, 40, 50, 60, and 80°C; e) effect of pH- on CDA was<br />

assayed using Tris-HCL buffer over the following pH range, 7.0 ,7.5<br />

,8.0 , 8.5, 9.0, 10.0.<br />

Determination of pyridoxal phosphate in soil<br />

Soil (10 g) was shaken for a period of 1 h with Tris-HCl buffer (0.2<br />

M pH 8.3, 100 ml) and then filtered through a Whatman No. 1 filter<br />

paper. The concentration of pyridoxal phosphate in the filtrate was<br />

then determined by the following method (Wada and Snell, 1961).<br />

Phenlyhyrdazine hydrochloride (0.2 ml, 2 % w/v dissolved in 10 N<br />

H2SO4) was added to 3.8 ml of soil filtrate. The mixture was then<br />

heated at 60°C for 20 min. and then allowed to stand at room<br />

temperature for 10 min, and the intensity of the colour formed was<br />

read at 410 nm.<br />

RESULTS AND DISCUSSION<br />

Linearity was observed between CDA and a) the amount<br />

of soil used (0 - to 0.75 g), b) length of incubation (0 - to<br />

3.5 h.) and c) the concentration of L-cysteine (0.5- to 1.8<br />

mM), (Figures 1a, b and c); showing that the assay<br />

Alharbi et al. 5087<br />

method employed measures the hydrolysis of L-cysteine<br />

and that the measured enzyme activity was not limited by<br />

any of the parameters employed.<br />

The optimum temperature for CDA in this soil was 60°C<br />

(Figure 2a) which is higher than that reported by<br />

Fromageot (1951) for the enzyme in bacteria and<br />

mammals. Soil enzymes generally show a higher optimum<br />

temperature than is observed for pure enzymes, or<br />

when enzyme activity is measured from cells; this is<br />

because soil enzymes are immobilized onto clays and<br />

humus particles (Burns, 1979; Sarkar et al., 1989) .The<br />

optimum pH for CDA in soils was pH 8.5 (Figure 2b). This<br />

pH optimum is the same as that found for Salmonella<br />

typhimirium (Guarneros and Ortega, 1970), but<br />

somewhat higher than that found in other bacteria<br />

(Fromageot, 1951); again because of soil immobilization<br />

soils; enzymes often show broader and higher pH<br />

maximum than enzyme activities measured in other<br />

systems. Table 1 shows and important property of CDA,<br />

namely that pyridoxal phosphate is needed in order for it<br />

to exhibit its maximum activity. Stimulation of CDA by<br />

pyridoxal phosphate was also reported for this enzyme<br />

from Proteus morganii (Kallio, 1951) and E.coli<br />

(Delwiche, 1951).<br />

Pyridoxal phosphate was not detected in this<br />

agricultural soil [1:10 w/v soil 0.2 M Tris-HCL buffer (pH<br />

8.3), extracted by shaking for 1 h], showed that either<br />

pyridoxal phosphate is not extracted by the method, or<br />

more probably that it is not present in detectable concentrations<br />

in this soil. The lack of pyridoxal phosphate in this<br />

soil means that CDA could not function in this soil (and<br />

presumably in most other soils also) at its maximum<br />

activity because of the lack of a necessary cofactor,<br />

namely pyridoxal phosphate. Burns (1979) emphasised<br />

that cytoplasmic enzymes from animals, plants and<br />

microorganism, which rely upon co-factors, electron<br />

transport chains or multi enzyme complexes will not<br />

operate in soils unless such cofactors are present. CDA<br />

provides an excellent example of an enzyme which is<br />

present is soil, probably bound to humus and clay<br />

particles which, because of a lack of necessary cofactors<br />

cannot function in vivo. Activity of the enzyme can<br />

however, be measured in vitro when the necessary<br />

cofactors (in this case pyridoxal phosphate) is added.<br />

The present study therefore illustrates the important point<br />

that just because an enzyme can be assayed in a soil it<br />

does not necessarily mean that it functions in the<br />

environment. Enzymes such as cellulase (Benefield,<br />

1971), urease (Bremner and Mulvaney, 1978) and ophenol<br />

oxidase (Wainwright, 1979), which do not require<br />

cofactors would probably exhibit maximum activity under<br />

environmental conditions. The important conclusion<br />

which can be derived from this study is that although<br />

certain soil enzymes (like CDA) can be assayed in the<br />

laboratory where all cofactors are provided, this does not<br />

mean that they will function in the environment and play a<br />

role in mineral cycling.


5088 Afr. J. Microbiol. Res.<br />

Figure 1. Effect of a) soil sample, b) time and c) substrate concentration on L-cysteine desulfhydrase<br />

activity in the soil (Activity expressed as µmoles pyruvate formed g -1 2 h -1 ).


Figure 2. Effect of a) incubation temperature and b) buffer pH on L-cysteine desulfhydrase activity<br />

in the soil (Activity expressed as µmoles pyruvate formed g -1 2h -1 ).<br />

Table 1. Effect of pyridoxal phosphate on CDA in soil.<br />

CDA µg pyruvate formed g -1 2 h -1<br />

No pyridoxal phosphate added 0.080 0.004<br />

Addition of pyridoxal phosphate (1 ml, 0.2 M). 0.295 0.015<br />

Means of triplicates (+/- standard deviation).<br />

Alharbi et al. 5089


5090 Afr. J. Microbiol. Res.<br />

ACKNOWLEDGEMENT<br />

The project was supported by King Saud University,<br />

Deanship of Scientific <strong>Research</strong>, College of Science,<br />

<strong>Research</strong> Centre. Thanks are due to Dr Ute Skiba for her<br />

contribution to this study.<br />

REFERENCES<br />

Benefield CB (1971). A rapid method for measuring cellulase activity in<br />

soil. Soil Biol. Biochem., 3: 325-329.<br />

Burns RG (1979). Enzyme activity on soil: some theoretical and<br />

practical considerations. In: Burns RG (ed), Soil Enzymes, London,<br />

<strong>Academic</strong> Press, pp. 295-340.Burns RG (1982). Enzyme activity in<br />

soil: Location and a possible role in microbial ecology. Soil Biol.<br />

Biochem., 14: 123-427.<br />

Bremner JM, Mulvaney RL (1978). Urease activity in soils. In: Burns RG<br />

(ed.) Soil Enzymes, London, <strong>Academic</strong> Press, pp. 149-196.<br />

Case EM (1932). The determination of pyruvic acid. Biochem. J., 26:<br />

753-758.<br />

Delwiche EA (1951). Activities of the cysteine desulfhydrase system of<br />

E.coli. J. Bacteriol., 62: 717-722.<br />

Fromageot G (1951). Desulfhydrases. In: Sumner JB, Myrback K (eds),<br />

The Enzymes, New York, <strong>Academic</strong> Press, pp. 1237-1243.<br />

Guarneros G, Ortega M (1970). Cysteine desulphydrase activity of<br />

Salmonella typhimurium and Escherichia coli. Biochem. Biophys.<br />

Act., 198: 132-142.<br />

Kallio RE (1951). Function of pyridoxal phosphate in desulfhydrase<br />

systems of Proteus morganii. J. Biol. Chem., 192: 371-377.<br />

Li X, Sarah P (2003). Arylsulfatase activity and soil biomass along a<br />

Mediterranean–arid transect. Soil Biol. Biochem., 35: 925-934.<br />

Ohkishi H, Nishikawa D, Kumagai H, Yamada H (1981). Distribution of<br />

cysteine desulfhydrase in microorganisms. Agric. Biol. Chem., 45:<br />

253-257.<br />

Sarkar JM, Leonowicz AJ, Bollag JM (1989). Immobilization of<br />

enzymes on clays and soils. Soil Biol. Biochem., 21: 223-230.<br />

Skiba U, Wainwright M (1983). Assay and properties of some sulphur<br />

enzymes in coastal sands. Pl. Soil, 70: 125-132.<br />

Skujins JJ (1976). Extracellular enzymes in soil. CRC Crit. Rev.<br />

Microbiol., 4: 383-421.<br />

Wada H, Snell EE (1961). The enzymatic oxidation of pyridoxene and<br />

pyridoxamine phosphates. J. Biol. Chem., 236: 2089-2095.<br />

Wainwright M (1979). Assay of phenol 0-hydroxylase activity in soil. Soil<br />

Biol. Biochem., 11: 549-541.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5091-5094, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.220<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Multi-drug resistant pattern and plasmid profile of<br />

Escherichia coli and other gram-negative bacteria<br />

isolates from clinical specimen in Benin City, Nigeria<br />

E. C. Emerenini 1 * and P. I. Okolie 2<br />

1 Department of <strong>Microbiology</strong>, University of Agriculture (UNAAB), Abeokuta, Nigeria.<br />

2 Biotechnology Centre, University of Agriculture (UNAAB), Abeokuta, Nigeria.<br />

Accepted 24 April, 2012<br />

Escherichia coli (E. coli) belonging to the family Enterobacteriaceae has been implicated as the causal<br />

agent to many gastro-intestinal disorders in man and animal. Seventy samples of clinical origins were<br />

collected randomly from patients at Lahour Public Health <strong>Research</strong> centre, Benin City in Edo state. E.<br />

coli were found in 4/70 (25%) of the samples; while Klebsiella spp., Proteus spp. and Pseudomonas spp.<br />

had percentage abundance of 12.5, 31.25 and 31.25% respectively. All E. coli isolates were resistant to<br />

the following antibiotics Ampicilin, Nalidixic acid, Chloramphenicol, Tetracycline, Cotrimoxazole,<br />

Norfloxacine, Traflox, Ciproval, Nitrofurantoin and Perflacin, while 75% were resistant to Gentamicine,<br />

only. E. coli isolates were screened for plasmids. It was observed that 3(75%) were plasmid mediated<br />

while 1(25%) harbored only the chromosomal DNA. This study indicates the susceptibility pattern of E.<br />

coli resistance to different antibiotics and the need to contend the continuous spread of the these<br />

resistant strains.<br />

Key words: Escherichia coli, antibiotics resistance pattern, plasmid profile.<br />

INTRODUCTION<br />

Escherichia coli is a human pathogen worldwide associated<br />

with meat and meat products, dairy products,<br />

vegetables, and water (Browning et al., 1990; Obi et al.,<br />

2004; Magwira et al., 2005). It is recognized as a<br />

bacterium causing hemorrhagic colitis (Olorunshola et al.,<br />

2000). Diarrheal diseases linked to E. coli infections are<br />

characterized by blood, cramping abdominal pain, fever,<br />

nausea, and vomiting (Shebib et al., 2003). Resistance of<br />

pathogenic organisms to antibiotics is an increasing<br />

problem to the treatment of most microbial infection and<br />

the rapid dissemination of drug-resistant bacteria is an<br />

increasing global problem that seriously complicates the<br />

treatment of human infections (Van den Bogaard and<br />

Stobberingh, 2000). Different factors could contribute to<br />

this increase, as the high use of antimicrobial agents in<br />

*Corresponding author. E-mail: emcslash@gmail.com. Tel:<br />

+234-803-4950289.<br />

humans and animals that applies a pressure for selection<br />

of resistant bacteria, the capacity of bacteria to<br />

disseminate antimicrobial resistance genes to other<br />

bacteria mainly by mobile genetic structures, and the<br />

facility of dissemination of resistant bacteria in different<br />

ecosystems (Martínez, 2008).<br />

Antimicrobial resistance associated with specific<br />

antimicrobials may occur in a number of ways. These<br />

include: reduced uptake, impermeability or efflux mechanisms<br />

for a particular antimicrobial, drug degradation<br />

(enzyme attack) or modification of specific target sites by<br />

the organism where the drug would normally act.<br />

Alternatively, organisms modify specific sites where antimicrobials<br />

normally act by duplication of the target site<br />

with a site that is non susceptible thus causing a<br />

‘‘bypass’’ of the antibiotic sensitive step (Chopra and<br />

Russell and Chopra, 1996; Chopra, 1998; Russell, 1998,<br />

2002). Recently, integrons have been recognized as a<br />

mecha-nism for acquiring multiple antimicrobial resistances<br />

in some organisms. Integrons are a class of novel,


5092 Afr. J. Microbiol. Res.<br />

Table 1. Percentage Antibiotics Resistance of Pathogenic Isolates from Clinical samples.<br />

Antibiotic<br />

Number of resistant strain Percentage resistance (%)<br />

A B C D A B C D<br />

Nalidixic acid 4 1 4 5 100 50 80 100<br />

Chloramphenicol 4 NIL 4 5 100 NIL 80 100<br />

Norfloxacin 4 NIL 3 3 100 NIL 60 60<br />

Gentamycin 3 1 1 4 75 50 80 80<br />

Ampicilin 4 1 5 5 100 50 100 100<br />

Tetracycline 4 2 4 5 100 100 80 100<br />

Cotrimoxazole 4 NIL 3 5 100 NIL 60 100<br />

Traflox 4 NIL 1 3 100 NIL 20 60<br />

Ciproval 4 NIL 4 3 100 NIL 80 60<br />

Nitrofurantoin 4 1 5 5 100 50 100 100<br />

Perflacin 4 1 5 5 100 NIL 40 60<br />

Key: A = E. coli; B = Klebsielle spp.; C = Proteus spp. and D = Pseudomonas spp.<br />

naturally occurring mobile genetic elements that can<br />

capture antimicrobial resistance and other genes and<br />

promote their transcription (Stokes and Hall, 1989;<br />

Hanau-Bercot et al, 2002). Class 1 type integrons are<br />

con-sidered the most common in clinical isolates<br />

(Recchia and Hall, 1995; Collis et al., 1998). Resistance<br />

genes can be integrated in the form of cassettes, this<br />

reaction is catalysed by the integron encoded integrase<br />

(int1) gene at the att1 site (Hansson et al., 1997;<br />

Partridge et al., 2000).<br />

In many pathogenic bacteria, plasmids frequently carry<br />

antibiotics resistance encoding genes allowing bacteria to<br />

survive antibiotic treatment besides encoding virulence<br />

factors.<br />

The aims of this study are to determine the antimicrobial<br />

pattern of some pathogenic bacteria in clinical<br />

samples and the relationship of plasmid profile.<br />

MATERIALS AND METHODS<br />

Study areas and sample collection<br />

Seventy clinical samples comprising of stool, urine, sputum and<br />

exudates from wound were collected from sick patients at Lahor<br />

Public Health <strong>Research</strong> Center, Benin City Nigeria. The samples<br />

were collected in sterile Screw-caped universal container and were<br />

taken to the laboratory for analysis.<br />

Identification of bacteria<br />

One gram of the sample was weighed and suspended into 9 ml of<br />

peptone water. 10-fold dilution was made. One hundred microlitre<br />

of each dilution was plated on Blood agar, MacConkay agar and<br />

Chocolate agar and was incubated aerobically at 37°C for 24 h.<br />

Isolates were identified biochemically.<br />

Susceptibility testing<br />

Antibiotics susceptibility test for the isolated organisms was<br />

conducted by disc diffusion using Muller Hintin agar plates<br />

according to modified method of Bauer et al. (1966). The plates<br />

were incubated at 37°C for 24 h. The antibiotics tes ted includes<br />

Ampicilline, Nalidixic acid, Chloramphenicol, Tetracycline,<br />

Cotrimoxazole, Norfloxacine, Traflox, Ciproval, Nitrofurantoin,<br />

Gentamicin and Perflacin. The zones of inhibition around the disc<br />

were measured.<br />

Plasmid profiling<br />

The modified method of Birmboin and Doly (1979) was used to<br />

screen for the presence of Plasmid in the resistant isolates.<br />

Plasmid DNA electrophoresis<br />

Plasmid DNA was electrophoresed on 1.3% agarose gel, stained<br />

with ethidium bromide. Hind III digested plasmid was used as a<br />

control marker. The gel was visualized with UV transilluminator and<br />

photograph of the bands were taken using the pollaroid.<br />

RESULTS<br />

Drug susceptibility testing<br />

Seventy samples from clinical origins were collected<br />

randomly from patients at Lahour Public Health <strong>Research</strong><br />

centre, Benin City in Edo state. Percentage abundance of<br />

E. coli isolated was (25%). While other Gram-negative<br />

bacteria comprising of Klebsiella spp., Proteus spp. and<br />

Pseudomonas spp. had percentage abundance of 12.5,<br />

31.25 and 31.25% respectively.<br />

All E. coli isolates were resistant to Ampicilin, Nalidixic<br />

acid, Chloramphenicol, Tetracycline, Cotrimoxazole,<br />

Norfloxacine, Traflox, Ciproval, Nitrofurantoin and<br />

Perflacin while 75% were resistant to Gentamicin (Table<br />

1).<br />

Two Klebsiella spp. were isolated and tested for<br />

antibiotic resistance; only one (50%) was resistant to


Table 2. Plasmid profile.<br />

Emerenini and Okolie 5093<br />

Isolate number Niurofurantom Traflox Norfloxacin Cotrimoxazeole Gentamicin Tetracyclin Ciproval Nalidixil acid Chloramphenicol Ampicillin Peflacin Plasmid number Plasmid size (kb)<br />

E1 - - - - - - - - - - - 1 3.3<br />

E2 - - - - - - - - - - - 1 3.4<br />

E3 - - - - + - - - - - - 1 3.3<br />

PR1 - + - - - - + - - - + 2 3.7, 3.4<br />

PR2 - - - - - - - - - - - 1 3.4<br />

P1 - + + - + - + - - - + 2 3.5, 3.3<br />

P2 - - - - - - - - - - - 2 3.5, 3.3<br />

P3 - + + - - - + - - - + 2 3.5, 3.3<br />

P4 - - - - - - - - - - - 2 3.5, 3.3<br />

P5 - - - - - - - - - - - 1 3.2<br />

+, Positive; _, Negative.<br />

Nitrofurantoin, Gentamicin, Nalidixic acid and<br />

Ampicilin. While the two isolates were resistant to<br />

Tetracyclin. For the rest of other antibiotics<br />

(Chloramphenicol, Cotrimoxazole, Norfloxacine,<br />

Traflox, Ciproval and Perflacin), the Klebsiella<br />

spp. is 100% sensitive (Table 1).<br />

The five isolates of Pseudomonas spp. tested<br />

for susceptibility to multi-antibiotics activity were<br />

100% resistant to Nitrofurantoin, Cotrimoxazole,<br />

Tetracycline, Nalidixic acid, Chloramphenicol,<br />

Ampicilin; 80% were resistant to Gentamicin and<br />

60% were resistant to Norfloxacine, Traflox,<br />

Ciproval and Perflacin (Table 1).<br />

Five Proteus spp. isolated and tested for<br />

antibiotics resistance, 100% were resistant to<br />

Nitrofurantoin and Ampicilin; 80% were resistant<br />

to Gentamicin, Tetracycline, Nalidixic acid, Chloramphenicol,<br />

and Ciproval. 60% were resistant to<br />

Cotrimoxazole and Norfloxacine; 40% were<br />

resistant to Perflacin and 20% were resistant to<br />

Traflox (Table 1).<br />

Plasmid profilling<br />

E. coli and other Gram-negative bacteria isolates<br />

were screened for plasmids. Table 2 shows the<br />

plasmid number and size from the isolated E. coli,<br />

Klebsiella spp., Proteus spp. and Pseudomonas<br />

spp. Gram-negative bacteria from clinical<br />

samples. It was observed that 3(75%) of E. coli<br />

isolates were plasmid mediated while 1(25%)<br />

harbored only the chromosomal DNA.<br />

DISCUSSION<br />

The study reveals that multiple antibiotics resistance<br />

exists among the clinical pathogens<br />

examined. E. coli isolates were observed to be<br />

resistant to commonly used antibiotics in clinical<br />

medicine.<br />

There has been a growing concern of the<br />

possible emergences of antimicrobial resistant<br />

Enterobacteriaceae strains especially E. coli as a<br />

result of possible neglect of treatment procedures.<br />

The level of antibiotic resistance of these<br />

pathogens is quite high and it could be as a result<br />

of antibiotic drug abuse, in appropriate dosage<br />

administration and duration, wrong diagnosis<br />

before treatment has also contributed to the<br />

spread of antibiotic resistant strains.<br />

Plasmid profiling analysis of the isolates<br />

revealed that 3(75%) of E. coli resistant strain<br />

were Plasmid mediated, thus each harboring one<br />

plasmid. The other Gram-negative bacteria<br />

isolates harbored either one or more plasmids<br />

(Table 2). The implication of this is that these<br />

isolates may be containing either resistant or<br />

virulent plasmids. Smith et al. (2003) revealed the<br />

presence of plasmid (47%) in eight E. coli isolates<br />

from animal origin.<br />

The resistance upsurge of these isolates to<br />

commonly used antibiotics were very high and in<br />

view of the burden they pose to medical practitioners,<br />

as well as the limited availability of<br />

antimicrobial agents for the treatment of infections<br />

caused by these organisms, there is need to<br />

contend the spread of the antibiotic resistant<br />

strains, since multidrug resistant strains can<br />

transfer resistance through their plasmid to other<br />

enteric organisms.<br />

ACKNOWLEDGMENTS<br />

The authors wish to thank the management of<br />

Lahor Public Health <strong>Research</strong> Center, Benin city<br />

and National Institute of Medical <strong>Research</strong> (NIMA)<br />

Lagos Nigeria for laboratory assistance.<br />

REFERENCES<br />

Bauer AW, Kirby WM, Sferris JC, Turck M (1966). Antibiotic<br />

susceptility test by a standard single disc method. Am. J.


5094 Afr. J. Microbiol. Res.<br />

Clin. Pathol., 45: 493-496.<br />

Birmboin HC, Doly J (1979). A rapid alkaline extraction procedure for<br />

screening recombinant plasmid DNA. Nucleic Acids Res., 7: 1513-<br />

1523.<br />

Browning NG, Botha J, Sacho H, Moore PJ (1990). Escherichia coli<br />

O157:H7 haemorrhagic colitis. Report of the first South African case.<br />

South Afr. Surg., 28: 28-29.<br />

Chopra I (1998). <strong>Research</strong> and development of antibacterial agents.<br />

Curr. Opin. Microbiol., 1: 495-501.<br />

Collis CM, Kim MJ, Stokes HW, Hall RM (1998). Binding of the purified<br />

integron DNA integrase Int1 to integron- and cassetteassociated<br />

recombination sites. Mol. Microbiol., 29: 477-480.<br />

Hanau-Bercot B, Podglajen I, Casin I, Collatz E (2002). An intrinsic<br />

control element for translational initiation in class 1 integrons. Mol.<br />

Microbiol., 44: 119-130.<br />

Hansson K, Skold O, Sundstrom L (1997). Nonpalindromic att1 sites of<br />

integrons are capable of site specific recombination with one another<br />

and with secondary targets. Mol. Microbiol., 26: 441-453.<br />

Magwira CA, Gashe BA, Collison EK (2005). Prevalence and antibiotic<br />

resistance profiles of Escherichia coli O157:H7 in beef products from<br />

retail outlets in Gaborone, Botswana. J. Food Prot., 68(2): 403-406.<br />

Martínez JL (2008). Antibiotics and Antibiotic Resistance Genes in<br />

Natural Environments. Science, 321(5887): 365-367.<br />

Obi CL, Potgieter N, Bessong PO, Igumbor EO, Green E (2004). Gene<br />

encoding virulence makers among Escherichia coli isolates from<br />

diarrheic stools samples and river sources in rural Venda<br />

communities of South Africa. Water S.A., 30(1): 37-42.<br />

Olorunshola ID, Smith SI, Cker AO (2000). Prevalence of EHEC<br />

O157:H7 in patients with diarrhoea in Lagos, Nigeria. APMIS, 108:<br />

761-763.<br />

Partridge SR, Recchia GD, Scaramuzzi C, Collis CM, Stokes HW, Hall<br />

RM (2000). Definition of the att1 site of class 1 integrons.<br />

<strong>Microbiology</strong>, 146: 2855-2864.<br />

Recchia GD, Hall RM (1995). Gene cassettes: a new class of mobile<br />

element. <strong>Microbiology</strong>, 141: 3015-3027.<br />

Russell AD (1998). Mechanisms of bacterial resistance to antibiotics<br />

and biocides. Prog. Med. Chem., 35: 133-197.<br />

Russell AD (2002). Antibiotic and biocide resistance in bacteria:<br />

introduction. J. Appl. Microbiol. Symp. Suppl., 92: 1S-3S.<br />

Russell AD, Chopra I (1996). Understanding Antibacterial Action and<br />

Resistance 2nd Edition. Ellis Horwood, Chichester.<br />

Shebib ZA, Abdul GZG, Mahdi LK (2003). First report of Escherichia coli<br />

O157 among Iraqi children. Eastern Mediterranean Health J., 9: 1/2.<br />

Smith S, Aboaba OO, Odeigha P, Shodipo K, Adeyeye NN (2003).<br />

Plasmid profile of Escherichia coli 0157:H7 from apparently healthy<br />

animals. Afr. J. Biotechnol., 2(9): 322-324.<br />

Stokes HW, Hall RM (1989). A novel family of potentially mobile DNA<br />

elements encoding site-specific gene integration functions: integrons.<br />

Mol. Microbiol., 3: 1669-1683.<br />

Van den Bogaard AE, Stobberingh EE (2000). Epidemiology of<br />

resistance to antibiotics Links between animals and humans. Int. J.<br />

Antimicrob. Agents, 14: 327-335.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5095-5099, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.312<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Fermentation of Cucumeropsis seeds, an uncommon<br />

substrate for ogiri production<br />

Odibo F. J. C. 1 , Nwabunnia E. 2 *, Ezekweghi C. C. 1 and Uzoeghe E. 1<br />

1 Department of Applied <strong>Microbiology</strong> and Brewing, Nnamdi Azikiwe University, P.M.B. 5025, Awka, Nigeria.<br />

2 Department of <strong>Microbiology</strong>, Anambra State University, P. M. B. 02, Uli, Nigeria.<br />

Accepted 4 June, 2012<br />

An investigation of the microbes responsible for the traditional fermentation of climbing melon<br />

(Cucumeropsis mannii Naud) seeds for ogiri production was undertaken over a period of 96 h. Seven<br />

bacterial genera identified as Bacillus, Klebsiella, Pseudomonas, Pediococcus, Lactobacillus, Serratia,<br />

and Staphylococcus were recovered from fermenting Cucumeropsis seeds. The pH and temperature of<br />

the seeds at the end of fermentation were 7.1 and 35°C, respectively. Bacillus and Pseudomonas<br />

species exhibited proteolytic, amylolytic and lipolytic activities, and were most useful in the<br />

fermentation process. The ogiri obtained compared favourably in colour, taste, aroma and texture with<br />

the same condiment from other known and commonly used substrates.<br />

Key words: Cucumeropsis seeds, fermentation, bacteria, ogiri.<br />

INTRODUCTION<br />

Ogiri is a Nigerian fermented condiment produced from<br />

various substrates, and which when added to soup or<br />

yam pottage enhances the flavour. This has been<br />

accentuated by several independent reports on the<br />

production of ogiri from the fermentation of the seeds of<br />

castor oil (Ricinus communis) (Odunfa, 1985; Jideani and<br />

Okeke, 1991), water melon (Citrullus vulgaris Schard)<br />

(Odunfa, 1981), creeping melon (Colocynthis vulgaris)<br />

(Odibo, 1985; Jideani and Okeke, 1991; David and<br />

Aderibigbe, 2010), Citrullus lanatus (David and<br />

Aderibigbe, 2010) and fluted pumpkin (Telfairia<br />

occidentalis Hook) (Odibo and Umeh, 1989).<br />

The choice of substrate for this food condiment, which<br />

is popular among the Igbos of Southern Nigeria, depends<br />

on the locality (Odibo et al., 1990). During the last three<br />

decades, the consumption of ogiri as well as the prices of<br />

its various substrates has increased in Nigeria. This<br />

development has given impetus for the trial of other<br />

relatively cheaper and unpopular seeds, which are<br />

climbing melon (Cucumeropsis mannii Naud) (David and<br />

Aderibigbe, 2010). The seeds resemble those of creeping<br />

*Corresponding author. E-mail: alcamow@yahoo.com. Tel:<br />

+234 (806) 096-3069.<br />

nutritively related to those already serving as substrates<br />

for ogiri production. One of such potential substrates is<br />

melon (Colocynthis vulgaris) commonly eaten as soup by<br />

most Nigerians. In variance, Cucumeropsis seeds are<br />

larger (16-18 mm long, 9 mm wide) with thick outer white<br />

coat of moulded edges, hard to open or peel (Oyolu,<br />

1977).<br />

The cotyledons of climbing melon seeds are scarcely<br />

used in some parts of Nigeria to prepare soup or as a<br />

source of oil. Also, the seeds have preservative<br />

properties in that, the posterior end when slightly and<br />

carefully opened with the help of the incisors, can be<br />

placed at appropriate points on a fresh corpse as an<br />

effective embalmment procedure by some herbalists<br />

among the Igbos of Southern Nigeria. This study was<br />

undertaken to determine the microbes responsible for the<br />

traditional fermentation and suitability of climbing melon<br />

(C. mannii) seeds as yet another substrate for ogiri<br />

production.<br />

MATERIALS AND METHODS<br />

Preparation of ogiri<br />

The traditional method of preparing ogiri (Odibo and Umeh, 1989)<br />

was adopted and modified. Locally purchased climbing melon (C.


5096 Afr. J. Microbiol. Res.<br />

mannii Naud) seeds were washed with water and boiled for about 1<br />

h to soften. The seed coats were removed and cotyledons washed<br />

with sterile water. For the fermentation, 200 g of the seeds were<br />

wrapped in clean plantain (Musa sapientum var. paradisiaca Linn.)<br />

leaves. The seeds were then left to ferment at room temperature<br />

(28 to 30°C) for 96 h to obtain ogiri. Prior to use as food condiment,<br />

the fermented seeds are ground into a smooth paste, wrapped in<br />

fresh clean plantain leaves and placed over a fire.<br />

Isolation and identification of microorganisms<br />

These were as detailed by Odibo and Umeh (1989). Duplicate<br />

samples (1 g) of the fermenting seeds were removed daily from the<br />

packet, mashed into a paste with a sterile mortar and pestle for<br />

determination of the microbial flora and succession by dilutions with<br />

sterile distilled water. Isolations were made in duplicate on Petri<br />

dishes of nutrient agar, tomato juice agar (TJA) and Sabouraud’s<br />

dextrose agar (all Oxoid formulations except for TJA which was<br />

compounded by us), containing 0.05 mg chloramphenicol/ml using<br />

the drop method of Miles and Misra as described by Collins et al.<br />

(2004). The Petri dishes were incubated aerobically at 28°C for 24–<br />

48 h. Representative colonies of microorganisms were purified on<br />

fresh media on which they were isolated and stored on agar slopes<br />

at 4°C prior to characterization. The isolates were ch aracterized<br />

following the methods outlined by Collins et al. (2004) and identified<br />

following the description of Bergey’s Manual of Systemic<br />

Bacteriology (Krieg et al., 1984; Sneath et al., 1986). Fermentation<br />

of sugars by the isolates was tested using Andrade Peptone water<br />

(Oxoid CM61) as a basal medium in which acid production within 48<br />

h indicated positive result. Proteolytic activity of the isolates was<br />

tested using casein agar and by gelatin liquefaction (Collins et al.,<br />

2004) while Tween 80 hydrolysis was used to assess lipolytic<br />

activity (Sierra, 1957).<br />

pH and temperature measurement<br />

The pH and temperature of the fermenting seeds were determined<br />

daily. To estimate the pH, 1.0 g of the fermenting seeds was<br />

mashed with 10 ml of distilled water and the pH of the homogenate<br />

then determined with a pH meter.<br />

RESULTS AND DISCUSSION<br />

Only bacterial isolates were recovered from the<br />

fermenting seeds. This is in keeping with earlier reports<br />

by Odunfa (1981) and Odibo and Umeh (1989), who<br />

attributed the absence of mould during the fermentation<br />

of water melon and fluted pumpkin seeds respectively, for<br />

ogiri production, to the low oxygen tension within the<br />

packet of the fermenting seeds.<br />

A total of seven bacterial genera identified as Bacillus<br />

sp., Serratia sp., Pseudomonas sp., Klebsiella sp.,<br />

Staphylococcus aureus, Pediococcus sp. and<br />

Lactobacillus sp., were isolated from the fermenting<br />

seeds (Table 1). The plantain leaves used to wrap the<br />

fermenting seeds are presumably a major source of the<br />

bacteria. Our earlier report (Odibo and Umeh, 1989)<br />

revealed that a similar microbial flora to that of the<br />

fermenting Telfairia seeds but including two unidentified<br />

fungi isolates were recovered from the plantain leaves<br />

used in wrapping the Telfairia seeds. Apart from Serratia<br />

sp., the other six bacterial genera implicated in the<br />

fermentation of climbing melon seeds for ogiri production<br />

have been previously associated with the fermentation of<br />

this and other substrates for ogiri (Odunfa, 1981; Odibo,<br />

1985; Odibo and Umeh, 1989; Jideani and Okeke, 1991;<br />

Ijabadeniyi, 2007; David and Aderibigbe, 2010), ogiriokpei<br />

(Odibo et al., 1992) and dawadawa (Odunfa, 1986)<br />

production.<br />

The bacterial succession in the fermenting<br />

Cucumeropsis seeds is shown in Table 2. Although<br />

Staphylococcus aureus and Bacillus sp. were the only<br />

organisms isolated at 0 h, S. aureus disappeared after 24<br />

h while Bacillus sp. persisted till the end of the<br />

fermentation. Four isolates, Klebsiella sp., Pseudomonas<br />

sp., Pediococcus sp. and Lactobacillus sp. appeared<br />

after 24 h and persisted throughout the fermentation.<br />

Another bacterium, Serratia sp., was encountered as<br />

from the 72 h until the end of the fermentation. Our<br />

previous reports attributed the non-occurrence of the<br />

other isolates except Bacillus spp. at 0 h of the<br />

fermentation of Telfairia seeds for ogiri production (Odibo<br />

and Umeh, 1989) and Prosopis seeds for ogiri-okpei<br />

production (Odibo et al., 1992), to the fact that the<br />

vegetative bacterial cells were destroyed during boiling,<br />

but reappeared from the plantain leaves used in wrapping<br />

the seeds or from the air. In variance with this, the high<br />

viable cell counts recorded for S. aureus at the 0 h may<br />

have originated from handling as the seed coats of the<br />

cooked Cucumeropsis seeds were removed and<br />

cotyledons washed with sterile water prior to wrapping.<br />

The disappearance of S. aureus after 24 h of<br />

fermentation is in contrast with the reports of Odibo and<br />

Umeh (1989) for ogiri from Telfairia seeds, Odibo et al.<br />

(1992) for ogiri-okpei from Prosopis seeds and Jideani<br />

and Okeke (1991) for ogiri from African oil bean, Soya<br />

bean and Castor oil seeds. According to these reports, S.<br />

aureus was isolated after 24 h and persisted till the end<br />

of fermentation except in the case of castor oil seeds in<br />

which the organism appeared after 24 h and disappeared<br />

after 48 h. However, the existence of S. aureus in the<br />

fermenting Cucumeropsis seeds from 0–24 h is in<br />

keeping with the observation of Popoola and Akueshi<br />

(1984) that Staphylococcus spp. were present only within<br />

24 h of fermentation of ‘daddawa’, a nutritionally related<br />

condiment produced from Soya bean fermentation.<br />

The isolation of coagulase-positive S. aureus from the<br />

fermenting seeds is of public health concern as the<br />

organism is known to cause food poisoning (Frazer and<br />

Westhoff, 2000). Also, the presence of Klebsiella, a<br />

coliform could constitute a health risk since some species<br />

of this genus are associated with diseases of man<br />

(Collins et al., 2004). However, Odibo and Umeh (1989)<br />

and Odibo et al. (1992) expressed the expectation that<br />

the high heat treatment subjected to ogiri and ogiri-okpei,<br />

respectively during cooking will destroy these<br />

microorganisms and possibly any toxin elaborated in the<br />

condiment. Similarly, Odunfa (1981) noted that if ogiri is


Table 1. Properties and identity of bacteria isolated from fermenting Cucumeropsis seeds d .<br />

Strain<br />

No.<br />

1.<br />

2.<br />

3.<br />

4.<br />

5.<br />

6.<br />

7.<br />

Strain<br />

No.<br />

1.<br />

2.<br />

Colony morphology and<br />

characteristics<br />

White medium sized mucoid<br />

colonies ca.1mm diameter on<br />

nutrient agar<br />

Large white domed colonies<br />

ca. 1 mm diameter on nutrient<br />

agar; entire edges and<br />

smooth surface<br />

Large convex, cream to<br />

yellowish on nutrient agar; ca.<br />

1.5 to 2 mm diameter<br />

Small colonies 0.8 mm<br />

diameter; greenish yellow on<br />

nutrient agar; irregular edges<br />

Very small, flat, cream to<br />

yellowish colonies; entire<br />

edges on tomato juice agar<br />

Small, dome, white colonies<br />

ca. 1mm diameter on nutrient<br />

agar; entire edges<br />

Red, smooth colonies ca. 2<br />

mm diameter on nutrient agar;<br />

lobate edges<br />

Colony morphology and<br />

characteristics<br />

White medium sized mucoid<br />

colonies ca.1 mm diameter on<br />

nutrient agar<br />

Large white domed colonies<br />

ca. 1 mm diameter on nutrient<br />

agar; enter edges and smooth<br />

surface<br />

Cell shape and<br />

Gram stain<br />

Gram positive, long<br />

rods<br />

Gram negative<br />

short and tiny rods<br />

Gram positive cocci<br />

in clusters<br />

Gram negative<br />

slender rods<br />

Gram positive rods<br />

in chains<br />

Gram positive cocci<br />

in pairs<br />

Motility Spore<br />

Starch<br />

hydrolysis<br />

Catalase Oxidase Coagulase Urease Citrate<br />

Odibo et al. 5097<br />

Casein<br />

hydrolysis<br />

Gelatin<br />

hydrolysis<br />

+ + + + + ND _ + + +<br />

_ ND _ + _ _ _ + _ +<br />

_ ND _ + _ + + _ _ _<br />

+ ND + + + ND _ + + +<br />

_ _ _ _ _ ND _ _ _ _<br />

_ ND _ _ ND _ _ ND _ _<br />

Gram negative rods + ND _ + _ ND _ + _ _<br />

Cell shape and<br />

gram stain<br />

Gram positive, long<br />

rods<br />

Gram negative<br />

short and tiny rods<br />

Tween 80<br />

hydrolysis<br />

Sugar utilization<br />

O/F Lactose Xylose Sucrose Glucose Mannitol Maltose<br />

Indole<br />

Probable<br />

identity<br />

+ O A _ A A A A _ Bacillus sp.<br />

+ F A ND ND A ND ND _<br />

Klebsiella<br />

sp.


5098 Afr. J. Microbiol. Res.<br />

Table 1. Contd.<br />

3.<br />

4.<br />

5.<br />

6.<br />

7.<br />

Large convex, cream to<br />

yellowish on nutrient agar; ca.<br />

1.5 to 2 mm diameter<br />

Small colonies 0.8 mm<br />

diameter; greenish yellow on<br />

nutrient agar; irregular edges<br />

Very small, flat, cream to<br />

yellowish colonies; entire<br />

edges on tomato juice agar<br />

Small, dome, white colonies<br />

ca. 1 mm diameter on nutrient<br />

agar; entire edges<br />

Red, smooth colonies ca. 2<br />

mm diameter on nutrient agar;<br />

lobate edges<br />

Gram positive cocci<br />

in clusters<br />

Gram negative<br />

slender rods<br />

Gram positive rods<br />

in chains<br />

Gram positive cocci<br />

in pairs<br />

+ F A ND A A A A _ S. aureus<br />

+ O A A A A A A +<br />

+<br />

F<br />

A<br />

_<br />

+ F A ND A A A _ ND<br />

A<br />

A<br />

A<br />

A<br />

+<br />

Pseudomo<br />

nas sp.<br />

Lactobacill<br />

us sp.<br />

Pediococcu<br />

s sp.<br />

Gram negative rods _ O/F A _ A A A A _ Serratia sp.<br />

d +, Positive reaction; -, no reaction/negative reaction; ND, not determined; A, acid produced; O, oxidative; F, fermentative.<br />

Table 2. Succession of microorganisms and physical changes in fermenting Cucumeropsis seeds.<br />

Fermentation<br />

period (h)<br />

Temperature<br />

(°C)<br />

pH<br />

Viable cell counts (per g seed)<br />

A B C D E F G<br />

0 28 6.0 2.3×10 5 1.8×10 5 0 0 0 0 0<br />

24 29 6.2 3.0×10 5 1.7×10 6 4.8×10 5 2.4×10 5 1.6×10 5 3.6×10 5 0<br />

48 31 6.5 0 1.8×10 7 3.2×10 6 2.8×10 6 2.4×10 6 1.2×10 6 0<br />

72 33 6.8 0 0.8×10 4 1.5×10 3 1.2×10 3 1.7×10 3 0.4×10 4 1.6×10 6<br />

96 35 7.1 0 1.1×10 2 2.0×10 3 1.4×10 3 0.7×10 4 0.6×10 4 0.2×10 2<br />

A= Staphylococcus aureus; B= Bacillus sp.; C = Klebsiella sp.; D= Pseudomonas sp.; B = Pediococcus sp.; F= Lactobacillus sp.; G = Serratia sp.<br />

well boiled in soup, the danger of microbial<br />

infection is eliminated.<br />

The pH of fermenting seeds increased gradually<br />

from 6.0 at 0 h to 7.1 after 96 h. The temperature<br />

rose continuously from an initial value of 28 to<br />

35°C at the end of the fermentation (Table 2). The<br />

trend in pH as observed in this study is in contrast<br />

with our previous studies on ogiri from Telfairia<br />

seeds (Odibo and Umeh, 1989) and ogiri-okpei<br />

from Prospis seeds (Odibo et al., 1992). It is<br />

however, in line with the trend in pH observed by<br />

Odunfa (1981) and David and Aderibigbe (2010)<br />

for ogiri from different melon seeds. Odunfa<br />

(1981) described the fermentation process as<br />

essentially putrefactive, noting that the increase in<br />

pH was probably due to the formation of ammonia<br />

by the deaminase enzymes of Bacillus and<br />

Proteus spp. Our present pH trend is made


more understandable by the fact that the lactic acid<br />

bacterial genera present in the fermenting mash did not<br />

significantly proliferate. Similarly, poor growth of this<br />

aciduric Lactobacillus sp. (Aderiye and Ojo, 1987) was<br />

recently observed by David and Aderibigbe (2010) during<br />

the fermentation of C. mannii (Naud), Citrullus lanatus (L)<br />

and Colocynthis vulgaris (Schrad) seeds for ogiri<br />

production.<br />

In this study, the ogiri obtained compared favourably in<br />

colour, taste, aroma and texture with the same condiment<br />

from other known substrates. It is envisaged that further<br />

studies on the optimization of ogiri fermentation as well<br />

as improved packaging will help to ensure industrial<br />

production and enhanced popularity of this condiment.<br />

REFERENCES<br />

Aderiye BI, Ojo O (1987). Monitoring microbiological and biochemical<br />

changes in fermented yam. Folia Microbiol., 42(2): 141-144.<br />

Collins CH, Lyne PM, Grange JM, Falkinnam JO (2004). Collins and<br />

Lyne’s microbiological methods, 8th ed. Hodder Arnold Publication,<br />

New York, p. 464.<br />

David OM, Aderibigbe EY (2010). <strong>Microbiology</strong> and proximate<br />

composition of ogiri, a pastry produced from different melon seeds.<br />

N.Y. Sci. J., 3(4): 18-27.<br />

Frazer WC, Westhoff DC (2000). Food microbiology, 4th ed. Tata<br />

McGraw-Hill Publication Limited, New Delhi, pp. 17-34.<br />

Ijabadeniyi AO (2007). Microbiological safety of gari, lafun and ogiri in<br />

Akure metropolis, Nigeria. Afr. J. Biotechnol., 6(22): 2633-2635.<br />

Jideani IAO, Okeke CR (1991). Comparative study of microorganisms<br />

and sensory attributes of condiments from the fermentation of<br />

different seeds. Plant Fd. Hum. Nutr., 41: 27-34.<br />

Krieg NR, Holt JG, Murray RGE, Breener DJ, Bryant MP, Holt JG,<br />

Moulder JW, Pfennig N, Sneath PHA, Staley JT (1984). Bergey’s<br />

manual of systematic bacteriology, Williams and Wilkins, Baltimore,<br />

Maryland, 1: 964.<br />

Odibo et al. 5099<br />

Odibo FJC, Nwabunnia E, Osuigwe DI (1990). Biochemical changes<br />

during fermentation of Telfairia seeds for ogiri production. World J.<br />

Microbiol. Biotechnol., 6: 425-427.<br />

Odibo FJC, Ugwu DA, Ekeocha DC (1992). Microorganisms associated<br />

with the fermentation of Prosopis seeds for ogiri-okpei production.<br />

Food Sci. Technol. (Mysore), 29: 306-307.<br />

Odibo FJC, Umeh AI (1989). <strong>Microbiology</strong> of the fermentation of<br />

Telfairia seeds for ogiri production. MIRCEN J. Appl. Microbiol.<br />

Biotechnol., 5: 217-222.<br />

Odibo MC (1985). <strong>Microbiology</strong> of melon seed fermentation for ogiri<br />

production. B.Sc. Thesis. Department of <strong>Microbiology</strong>, University of<br />

Nigeria, Nsukka, pp. 1-7.<br />

Odunfa SA (1981). <strong>Microbiology</strong> and amino acid composition of ogiri—a<br />

food condiment from fermented melon seeds. Die Nahrung, 25: 811-<br />

816.<br />

Odunfa SA (1985). Microbiological and toxicological aspects of<br />

fermentation of castor oil seeds for ogiri production. J. Food Sci., 50:<br />

1758-1764.<br />

Odunfa SA (1986). Dawadawa. In: Reedy NR, Pierson MD, Salunkhe<br />

DK (eds), Legume-based fermented foods. CRC Press, Boca Raton,<br />

pp. 173-189.<br />

Oyolu C (1977). A quantitative and qualitative study of seed types in<br />

egusi (Colocynthis citrullus L.) Trop. Sci., 19: 55-60.<br />

Popoola TDS, Akueshi CO (1984). Microorganisms associated with the<br />

fermentation of soybean for the production of “daddawa” (a<br />

condiment). Nig. Food J., 2 & 3: 194-198.<br />

Sierra G (1957). A simple method for the detection of lipolytic activity of<br />

microorganisms and some observations on the contact between cells<br />

and fatty substrates. Anton. Leeuwen, 25: 15-22.<br />

Sneath PHA, Mair NS, Sharpe ME, Holt JG (1986). Bergey’s manual of<br />

systematic bacteriology, The Williams and Wilkins Inc, Baltimore,<br />

Maryland. Vol. 2.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5100-5109, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.085<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Combined effect of NPK levels and foliar nutritional<br />

compounds on growth and yield parameters of potato<br />

plants (Solanum tuberosum L.)<br />

Mona, E. Eleiwa 1 * Ibrahim, S. A. 2 and Manal, F. Mohamed 3<br />

1 Botany Department, Faculty of Science, Cairo University, Egypt.<br />

2 Department of Plant nutrition, NRC, Giza, Egypt.<br />

3 Department of Agronomy, NRC, Giza, Egypt.<br />

Accepted 7 February, 2012<br />

Field experiment was conducted to study the effect of NPK levels and foliar nutritional compounds on<br />

growth yield, chemical constituents and nutrients content of potato plants grown in newly reclaimed<br />

soil. The obtained results could be summarized as follows: Increasing the NPK levels significantly<br />

increased all the growth, and yield parameters (except for number of aerial stem, plant), photosynthetic<br />

pigments, chemical constituents of potato tuber at harvest, and macro and micronutrients in potato<br />

shoots and tubers. The highest values of the mentioned parameters were obtained by using the highest<br />

NPK (120:80:100) as compared with the other two NPK levels (Medium: 102:68:85 and low: 90: 60: 75).<br />

Foliar application with folifertile, Byfolane and fetrilon combi significantly increased growth and yield<br />

parameters, photosynthetic pigments, chemical constituents and nutrients content of shoots and<br />

tubers as compared with the control treatment. The highest effective treatment in this respect was<br />

folifertile followed by Byfolane and fetrilon combi in decreasing order. The interaction between NPK<br />

levels and foliar nutritional compounds significantly affected leaves number (LN)/plant, chl. b and chl. a<br />

+ b, tuber yield, mono sugars, carbohydrate and L-ascorbic acid as well as p, Mn and Cu concentration<br />

in shoots, and N and Fe in tubers. The interaction did not significantly affect the other studied<br />

parameters.<br />

Key words: Foliar compounds, nutrients content, potato NPK chemical constituents, interactions.<br />

INTRODUCTION<br />

Potato (Solanum tuberosum) is one of the most important<br />

and favorite vegetable crop grown in Egypt. Its economic<br />

importance arises from the fact that large amount of this<br />

crop is exported yearly. Potato is a staple food in the diet<br />

of the world's population and also being used as animal<br />

feed (Dancs et al., 2008). Although potato is considered<br />

as a starchy food, it is also included in the category of<br />

vegetables by its micronutrient content, Robert et al.<br />

(2006) suggested that consumption of cooked potatoes<br />

(consumed with skin) may enhance antioxidant defense<br />

and improve the lipid metabolism, these effects could be<br />

*Corresponding author. E-mail: sala201018@gmail.com.<br />

interesting for prevention of cardiovascular diseases.<br />

Potato tubers have been successfully used for high-level<br />

production of recombinant antibodies accumulated up to<br />

2% of total soluble tuber protein, also antibodies specific<br />

activity did not decrease during tuber storage (Artsaenko<br />

et al., 1998). Potatoes could be used as an important<br />

dietary source of the carotenoid zeaxanthin which accumulates<br />

in the human macula lutea and protects retinal cells<br />

from blue light damage. However, zeaxanthin intake from<br />

food sources is low. Increasing zeaxanthin in common food<br />

such as potatoes by traditional plant breeding or by genetic<br />

engineering could contribute to an increased intake of this<br />

carotenoid and, consequently, to a decreased risk of agerelated<br />

macular degeneration (Bub et al., 2008).<br />

Fertilization either mineral and/or organic and foliar


fertilizers considered the most important agricultural<br />

practices, which affects the growing period of plant<br />

foliage and tuber formation as well as the quality of<br />

produced yield (Gabr et al., 2001; Bekhit et al., 2005).<br />

The necessity of nitrogen (N), phosphorus (P) and<br />

potassium (K) for growth has been demonstrated by<br />

several investigators, since N supply was desirable for<br />

vegetative growth, dry matter accumulation as well as<br />

nutrients uptake by potato plants (El-Ghamriny and Saeed,<br />

2007a). As P is a part of molecular structure of nucleic acid<br />

(DNA and RNA), the energy transfer compounds, cell<br />

membranes and phosphoproteins so it has a great<br />

importance in physiological processes inside the plant,<br />

moreover, (p) has a role in plant life through energy storage<br />

and transfer, it acts as a linkage unit and has a vital metabolic<br />

role as an important structural component of wide varieties of<br />

biochemical materials including nucleic acids, coenzymes,<br />

phosphoproteins, phospholipid and sugar phosphates (Daniel<br />

et al., 1998). Furthermore, (k) is a mobile element in plant<br />

tissues and it plays an important role in photosynthesis<br />

through carbohydrate metabolism, osmotic regulation,<br />

nitrogen uptake and translocation of assimilates, also it has a<br />

role in physiological processes in plant respiration,<br />

transpiration, translocation of sugars and carbohydrates<br />

and enzyme transformation (Kelling et al., 1998).<br />

In this concern Kolbe et al., 1990) found that different<br />

NPK-ratios led to maximum yield and tuber quality of potato,<br />

they added that it is possible to demonstrate characteristic<br />

differences between the effect of N-fertilization and varied<br />

N-concentrations on tuber yield and composition.<br />

Nitrogen, p and k as macronutrients are commonly<br />

applied to soil. This method of application is usually accompanied<br />

with some losses through leaching. Excessive<br />

irrigation as well as the fixation of phosphorus are<br />

considered to be one of the growers mistakes which<br />

aggravate N, P and K losses from soil.<br />

In higher pH soil as that in Egyptian soils, it is known<br />

that micronutrients as well as some macronutrients may<br />

be limiting. Foliar products containing multi-nutrients may<br />

correct these deficiencies giving increases in growth and<br />

development. Foliar applications are often the most<br />

effective economical way to correct plant mineral<br />

deficiency (Kannan, 1986), especially when sink competition<br />

for carbohydrates between plant organs take place<br />

and nutrient uptake from the soil is restricted (Marschner,<br />

1986).<br />

There are many compounds used in foliar fertilization<br />

products, chelated compounds made from natural<br />

organic materials may have advantages since they are<br />

more ecological safe and have more prolonged and<br />

efficient action. Agriculturally, a foliar application of<br />

nutrient solution is particularly useful when the uptake of<br />

nutrients from the soil is growth limiting (Swietlik and<br />

Faust, 1994).<br />

It was advisable in this investigation to study the effect of<br />

NPK levels and some foliar nutritional compounds on growth,<br />

yield and chemical composition of potato plants (Solanum<br />

tuberosum cultivar Diamant) grown under the newly reclaimed<br />

soil conditions.<br />

MATERIALS AND METHODS<br />

Eleiwa et al. 5101<br />

Field experiments were carried out in the experimental farm of<br />

Salah El-Din, El-Bostan, Nobaria, El-Behera Governorate which<br />

belongs to the National <strong>Research</strong> Center, Giza (Egypt). Some<br />

physical and chemical properties of the soil in the experimental<br />

sites were noted (Table 1).<br />

The experiment included 12 treatments which were the<br />

combination between three NPK levels and three foliar nutritional<br />

compounds, Folifertile, Byfolane and Fetrilon combi. The three NPK<br />

levels were high (120:80:100), medium (102:68:85) and low<br />

(90:60:75).<br />

The treatments were arranged in a split plot design with three<br />

replications. The NPK levels were randomly arranged in the main<br />

plots and the foliar nutritional compounds were randomly distributed<br />

in the sub plots. Chemical composition and concentration of the<br />

different nutritional compounds used in foliar feeding are presented<br />

(Table 2).<br />

Spraying with nutritional compounds were carried out six times by<br />

15 days intervals during the growth period at rate of 400 L./Fed.,<br />

control plants were sprayed with tap water. Other agricultural<br />

processes were followed according to normal practice in the region.<br />

Potato tubers were sown on January 15 th at 20 cm apart. The source<br />

of fertilizers was ammonium sulfate (20.6% N), triple superphosphate<br />

(37% P2O5) and potassium sulfate (48% K2O), respectively. One third<br />

of NPK fertilizers were added at the time of soil preparation along with<br />

farmyard manure at the rate of 40 m 3 /feddan. The two third of NPK<br />

were divided into six equal portions and added at 10 days intervals<br />

beginning one month after planting.<br />

Data recorded<br />

Growth parameters<br />

Random samples of five plants were taken from every plot at 90 days<br />

after planting, for measuring: stem length, number of areal stems/plant,<br />

number of leaves/plant, dry weight of roots/plant, dry weight of<br />

shoots/plant, total dry weight of roots and shoots.<br />

Photosynthetic pigment<br />

Disc sample from the fourth upper leaf of potato plants was<br />

randomly taken from every experimental unit, 90 days after<br />

planting, to determine chlorophyll a, b and chl. a + b also<br />

carotenoids and total pigments, according to the method described<br />

by Wetteslein (1957).<br />

Yield and its components<br />

At harvest time, 115 to 120 days after planting, following<br />

parameters were calculated: No. of tubers/plant, tuber yield/plant,<br />

average tuber weight and total yield (ton/fed.)<br />

Chemical composition and nutrients status at harvest<br />

Crude protein, mono sugars, starch, carbohydrate, total soluble<br />

solids (T.S.S) and ascorbic acid as well as macro and<br />

micronutrients in shoots and tubers were determined as described<br />

by, Cottenie et al. (1982), and A.O.A.C. (2000).


5102 Afr. J. Microbiol. Res.<br />

Table 1. Some physical and chemical properties of the experimental soil, according to Ryan et al. (1996).<br />

a) Te(a) Texture,, pH, EC, O.M%, CaCO3<br />

Sand % Silt % Clay% Texture pH 1:2.5 EC dsm -1<br />

O.M% CaCO3<br />

86.0 8.0 6.0 sandy 7.45 0.89 0.35 1.8<br />

(b) Soluble cations and anions (meq/L 1:5) and available nutrients (ppm)<br />

Na + k + Ca ++ Mg ++ CO3 - HCO3 - Cl -<br />

SO4 -- N P K Fe Mn Zn Cu<br />

2.77 0.07 4.5 1.00 - 2.35 2.01 3.98 50.0 9.5 64.8 3.12 0.67 0.48 0.39<br />

Table 2. Nutritional compounds composition and concentration percentage.<br />

Compound<br />

Composition<br />

N P2O5 K2O S Mg Fe Mn Zn Cu Mo B Co Reco. Conc.<br />

Folifertile 22 21 17 0.167 0.076 0.730 0.0395 0.0068 0.0076 0.0050 0.0033 0.002 0. 30<br />

Byfolane 11 8.0 6.0 - - 9.018 0.016 0.006 0.0066 0.0095 0.0013 - 0.20<br />

Fetrilon combi - - - - - 1.5 4.5 3.0 - - - - 0.15<br />

Statistical analysis<br />

The proper statistical analysis of all data carried out<br />

according to Gomez and Gomez (1984). The differences<br />

between treatments mean were compared using the least<br />

significant differences at 5% LSD level.<br />

RESULTS AND DISCUSSION<br />

Vegetative growth and photosynthetic<br />

pigments<br />

Effect of NPK levels<br />

Data concerning the effect of mineral NPK levels<br />

on vegetative growth parameters at potato plants<br />

that is stem length, No. of aerial stem/plant, No. of<br />

leaves/plant, dry weight of roots and shoots/plant<br />

as well as dry weight of total plant are presented<br />

in (Table 3). The present result indicated that<br />

application of NPK levels significantly increased<br />

all the previous parameters except No. of aerial<br />

stem/plant which did not significantly affected. The<br />

highest NPK level (120:80:100) gave the highest<br />

values for all mentioned parameters as compared<br />

with other two NPK levels (Medium 102:68:85 and<br />

low 90:60:75). The necessity of N, P and K for<br />

growth has been demonstrated by several investigators,<br />

since nitrogen supply was desirable for<br />

vegetative growth, dry matter accumulation as<br />

well as nutrient uptake by potato plants (El-<br />

Ghamriny and Saeed, 2007a). The increase in<br />

plant growth may be attributed to the beneficial<br />

effects of nitrogen on stimulating the merestimatic<br />

activity for producing more tissues and organs,<br />

since it plays major roles in the synthesis of<br />

structural proteins and other several macro<br />

molecules, in addition to its vital contribution in<br />

several biochemical processes that related to<br />

plant growth (Marschner, 1995). Also, nitrogen<br />

may be contributed with the activation of cell<br />

division and cell elongation (Medani et al., 2000).<br />

The promating effect of growth parameters could<br />

be attributed to phosphorus as structural part of<br />

high energy compounds (Sarg, 2004). It is also a<br />

constituent of the cell nucleus and is essential for<br />

cell division and the merestimatic tissues<br />

development (Frank, 2002).<br />

The obtained results of growth parameters in<br />

this investigation are in good agreement with<br />

those obtained by El-Arquan et al. (2002), El-<br />

Ghamriny and Saeed (2007a), Kamel et al.<br />

(2008), Rafla et al. (2009) on different crops. NPK<br />

levels significantly affected the phototosynthetic<br />

pigments of potato plants (chl. a chl. b, chl. a+b,<br />

carotenoids and total pigments). The obtained<br />

results took the same trend of those obtain for


Table 3. Effect of NPK levels and some foliar compounds on growth and photosynthetic pigments (mg/g dry weight) in potato shoots 90 days after sawing.<br />

Treatment e<br />

Stem length<br />

(cm)<br />

No. of aerial<br />

stem/ plant<br />

Vegetative growth Vegetative growth Photosynthetic pigments<br />

No. of leaves/<br />

plant<br />

D. wt. of<br />

roots /plant<br />

D. wt of shoots D. wt. of total<br />

gm/plant plant (gm)<br />

Chl. a Chl. b Chl. a+b Carotenoids<br />

Eleiwa et al. 5103<br />

NPK levels<br />

L 25.44 2.91 32.68 4.45 27.41 31.86 2.43 1.69 4.11 1.67 5.78<br />

M 27.14 3.08 34.66 4.85 29.38 34.23 2.57 1.83 4.39 1.75 6.14<br />

H 28.68 3.10 36.89 5.28 31.39 36.67 2.68 1.96 4.63 1.89 6.52<br />

LSD. at 5% 0.42 NS 1.19 0.23 1.36 1.22 0.11 0.07 0.12 6.07 0.11<br />

Foliar compounds<br />

Control 24.86 2.41 32.27 4.24 26.99 31.23 2.34 1.65 3.99 1.67 5.67<br />

FF. 30.49 3.79 37.93 5.69 32.62 38.31 2.79 2.09 4.87 1.92 6.80<br />

By. 27.18 3.04 35.06 4.94 29.92 34.87 2.61 1.82 4.43 1.75 6.18<br />

Fet. 25.83 2.88 33.70 5.56 28.04 32.60 2.84 1.74 4.22 1.72 5.94<br />

LSD at 5% 0.51 0.47 0.55 0.12 1.01 1.06 0.06 0.05 0.08 0.05 0.10<br />

NPK levels×foliar compounds<br />

Control 23.03 2.60 29.50 3.83 25.57 29.46 2.27 1.57 3.83 1.60 5.43<br />

L<br />

FF.<br />

By.<br />

28.70<br />

25.90<br />

3.47<br />

2.83<br />

36.57<br />

33.14<br />

5.30<br />

4.57<br />

30.07<br />

27.63<br />

35.37<br />

32.20<br />

2.60<br />

2.47<br />

1.86<br />

1.66<br />

4.46<br />

4.13<br />

1.80<br />

1.66<br />

6.25<br />

5.79<br />

Fet. 24.13 2.73 31.50 4.10 26.37 30.47 2.37 1.66 4.03 1.62 5.65<br />

Control 24.93 2.63 32.73 4.30 27.23 31.53 2.33 1.66 3.99 1.68 5.67<br />

M<br />

FF.<br />

By.<br />

30.63<br />

26.90<br />

3.86<br />

3.07<br />

37.47<br />

34.59<br />

5.67<br />

4.80<br />

32.03<br />

30.27<br />

37.70<br />

37.07<br />

2.83<br />

2.63<br />

2.07<br />

1.85<br />

4.90<br />

4.48<br />

1.87<br />

1.75<br />

6.77<br />

6.23<br />

Fet. 26.10 2.83 33.84 4.63 28.00 32.63 2.47 1.73 4.20 1.71 5.90<br />

Control 26.60 1.99 34.57 4.60 28.17 32.77 2.43 1.72 4.16 1.75 5.96<br />

H<br />

FF.<br />

By.<br />

32.13<br />

28.73<br />

4.10<br />

3.23<br />

39.77<br />

37.47<br />

6.10<br />

5.47<br />

35.77<br />

31.87<br />

41.87<br />

37.33<br />

2.93<br />

2.73<br />

2.33<br />

1.94<br />

5.27<br />

4.68<br />

2.11<br />

1.85<br />

7.38<br />

6.52<br />

Fet. 27.27 3.07 35.77 4.93 29.77 34.70 2.60 1.83 4.43 1.84 6.28<br />

LSD. at 5% NS NS 0.95 NS NS NS NS 0.09 0.13 NS 0.17<br />

NPK levels: L= Low (90:60:75), M= Medium (102:68:85) , H= High (120:80:100). Foliar compounds: FF. =Folifertile, By.=Byfolane, Fet.= Fertrilon combi.<br />

the growth parameters. The highest values were<br />

obtained by using the highest NPK levels<br />

comparing to the other two levels. It is conspicuous<br />

that increasing NPK levels significantly<br />

increased pigments content in potato shoots at 90<br />

day. The increases in the photosynthetic pigments<br />

in shoots may be attributed to the important role of<br />

(P) in the potential activity of photosynthesis.<br />

Total<br />

pigments<br />

Moreover, it has a metabolic activating role to large<br />

number of enzymatic reactions depending on<br />

phosphorylation (Nassar et al., 2005). Marschner<br />

(1995) found that the favourable effect of NPK on


5104 Afr. J. Microbiol. Res.<br />

photosynthetic pigments may be also due to N which is a<br />

constituent of chlorophyll molecule, amino acids and<br />

proteins acting as structural compounds of the chloroplast,<br />

correspondingly, an enhancement of protein synthesis and<br />

chloroplast formation leads to an increase in chlorophyll. It<br />

seems that NPK treatment significantly increased<br />

carotenoids in potato shoots, these results are in<br />

agreement with those obtained by Bijana et al. (2005) and<br />

Kamel et al. (2008) who found that carotenoids in wheat<br />

leaves increased significantly by increasing NPK levels.<br />

Effect of foliar compounds<br />

Data indicated that foliar application with the investigated<br />

compounds (folifertile, byfolane and fetrilon combi)<br />

significantly increased all the growth characters and<br />

photosynthetic pigments as compared with the control<br />

treatment (Table 3). The highest effective treatment in this<br />

respect was that of folifertile followed by byfolane and fetrilon<br />

combi in decreasing order. The highest effect of folifertile<br />

might be attributed to its higher content of macro and<br />

micronutrients than the other two used foliar compounds<br />

(Table 2). In addition folifertile contains Mg element, which<br />

plays important physiological and biological role in chlorophyll<br />

formation, activation of enzymes, synthesis of protein,<br />

carbohydrate metabolism and energy transfer, as well as it<br />

acts as a catalyst in many oxidation reduction reactions in<br />

plant tissues (Saad and El-Kholy, 2000). This means that<br />

spraying potato plants with the foliar compounds significantly<br />

encourage the capability of plants to produce vigorous<br />

vegetative growth characters. Also, these foliar compounds<br />

play a great role in plant metabolism such as photosynthesis,<br />

respiration and other metabolic process (Ahmed et al., 2002),<br />

which in turn produced more carbohydrate, and chlorophyll,<br />

leading to enhancements of plant height, leaves number and<br />

branches in bean plant (El-Kabany, 2000). The obtained<br />

results in this investigation are in good agreement with those<br />

obtained by Abd-El-Fatah and El-Ghinbihi (2001) and Helal<br />

Fawzeia et al. (2006) who stated that significant increment in<br />

faba bean plant height and number of branches/ plant was<br />

obtained due to the foliar spraying with micronutrients, leads<br />

to growth increase as compared with control plants.<br />

Effect of interaction between NPK levels and foliar<br />

compounds<br />

The data obtained in Table 3 indicated that the interaction<br />

between NPK levels and foliar nutritional compounds on<br />

growth parameters and photosynthetic pigments did not<br />

significantly affected most of the parameters under study<br />

except leaves No./plant, chl. b and chl. a+b which were<br />

significantly affected by the interaction. However the<br />

highest values of growth and photosynthetic pigments<br />

were obtained by applying the higher level of NPK and<br />

sprayed with folifertile compound, on the other hand, the<br />

lowest values were attained by using the lowest level of<br />

NPK and sprayed with tap water.<br />

Yield and its components and some chemical<br />

constituents of potato tubers<br />

Effect of NPK levels<br />

Data presented in Table (4) indicated that increasing the<br />

NPK levels significantly increased yield parameters. This<br />

result is supported by El-Zeiny and Maha (2004) who<br />

found that increasing N levels application up to 95 kg<br />

/Fed. Significantly increased stripped stalk and juice, total<br />

biomass and forage yield of sweet sorghum. The<br />

increasing yield of potato plant can be explained by the<br />

important fact of phosphorus as a constituent compound<br />

in most metabolic processes (El-Arquan et al., 2002).<br />

Moreover, the effect of NPK on increasing yield is due to<br />

K which is a co-factor (enzyme activator) for different<br />

enzymes and it helps to maintain electro-neutrality in<br />

plant cell.<br />

In this concern Lindhaver and Fekete (1990) mentioned<br />

that starch synthesis in potato tubers grown at varied k<br />

nutrition was investigated with particular regard to the<br />

activity of selected enzymes (sucrose synthase, UDP-Dglucose<br />

pyrophosphatase, starch phosphorylase,<br />

amylases) independence on tuber K content, they added<br />

that the activity of enzymes related to tuber Kcontent did<br />

not differ significantly, starch and k content of tubers<br />

increased with progressing age. Comparing our results in<br />

Tables 3, 4 and 5, it is obvious that the positive<br />

correlations between the rates of K uptake, starch<br />

production and growth indicate that the dynamic phase of<br />

K supply to the tubers is of greater importance for starch<br />

synthesizing processes, than the influence of total K<br />

content. The obtained results agree with those obtained<br />

by Moustafa et al. (2005) mentioned that increasing NPK<br />

levels significantly increased the growth parameters, yield<br />

and its components as well as nutrient uptake of sugar<br />

beet and sweet sorghum plants.<br />

The chemical constituents of potato tubers at harvest<br />

were significantly increased by increasing NPK levels<br />

(Table 4), El-Ghamriny and Saeed (2007b), and Kamel<br />

Nadia et al. (2008) proved that NPK application significantly<br />

increased reducing, nonreducing and total sugar<br />

as well as carbohydrates, starch, and protein contents in<br />

wheat grains. Same trend was found by Karcomarczyk et<br />

al. (1999) who reported that increasing NPK to 450 kg N<br />

and from 50 to 100% of the recommended rate enhanced<br />

more carbohydrate and protein accumulation in plants.<br />

Effect of foliar compounds<br />

The obtained results in Table (4) indicated that foliar<br />

compounds under investigation (folifertile, Byfolane and<br />

fetrilon combi) application significantly increased the yield and


Table 4. Effect of NPK levels and some foliar compounds on yield and chemical composition (%) of potato tubers at harvest time.<br />

Treatment<br />

No. of<br />

tubers/ plant<br />

Yield VV Yeild its component Chemical composition Chemical c<br />

Tuber<br />

yield/plant (gm)<br />

Average tuber<br />

wt. (gm)<br />

Tuber yield<br />

(ton/fed)<br />

Crude<br />

protein<br />

Mono<br />

sugars<br />

Starch Carbohydrate Total soluble<br />

solids<br />

Eleiwa et al. 5105<br />

L-Ascorbic<br />

acid<br />

NPK levels<br />

L 4.51 510.69 107.58 14.32 11.15 3.58 65.26 76.78 4.45 14.49<br />

M 4.88 537.17 110.70 15.39 12.05 3.69 67.34 78.40 4.60 14.83<br />

H 5.36 573.63 113.78 16.60 12.77 3.83 69.17 80.23 4.73 15.36<br />

LSD. at 5% 0.19 14.49 2.06 0.85 0.06 0.23 0.61 0.92 0.09 0.08<br />

Foliar compounds<br />

Control 4.39 505.04 106.88 14.36 1 0.73 3.49 65.41 76.32 4.25 14.41<br />

FF. 5.49 589.54 115.89 16.69 13.91 4.01 69.97 81.13 4.88 15.61<br />

By. 5.12 548.96 111.66 15.75 12.31 3.79 67.43 79.44 4.66 14.94<br />

Fet. 4.67 518.44 108.31 14.96 11.00 3.58 66.22 76.98 4.56 14.61<br />

LSD at 5% 0.15 13.00 3.34 0.28 0.06 0.20 0.55 0.66 0.10 0.13<br />

NPK levels× foliar compounds<br />

Control 4.03 486.07 105.11 13.33 9.90 3.41 63.17 75.23 3.96 13.98<br />

L<br />

FF.<br />

By.<br />

4.91<br />

4.80<br />

537.57<br />

525.80<br />

112.05<br />

106.98<br />

15.50<br />

14.73<br />

12.83<br />

11.50<br />

3.86<br />

3.57<br />

67.70<br />

65.53<br />

78.40<br />

77.80<br />

4.79<br />

4.55<br />

14.93<br />

14.66<br />

Fet. 4.31 493.33 106.19 13.73 10.37 3.50 64.63 75.70 4.48 14.38<br />

Control 4.40 499.73 106.02 14.07 10.90 3.50 66.03 76.65 4.27 14.32<br />

M<br />

FF.<br />

By.<br />

5.53<br />

5.00<br />

586.10<br />

535.77<br />

114.98<br />

113.62<br />

16.50<br />

15.90<br />

14.00<br />

12.41<br />

3.93<br />

3.72<br />

70.17<br />

67.03<br />

80.90<br />

78.83<br />

4.86<br />

4.67<br />

15.66<br />

14.76<br />

Fet. 4.59 527.07 108.18 15.07 10.87 3.59 66.13 77.20 4.58 14.59<br />

Control 4.73 529.33 109.52 15.67 11.40 3.57 67.03 77.07 4.53 14.93<br />

H<br />

FF.<br />

By.<br />

6.03<br />

5.57<br />

644.97<br />

585.30<br />

120.63<br />

114.38<br />

18.06<br />

16.60<br />

14.90<br />

13.03<br />

4.24<br />

3.83<br />

72.03<br />

69.73<br />

84.10<br />

81.70<br />

5.00<br />

4.75<br />

16.23<br />

15.40<br />

Fet. 5.09 534.93 110.57 16.07 11.75 3.66 67.90 78.03 4.64 14.87<br />

LSD. at 5% NS 14.94 NS NS NS 0.34 NS 1.17 NS 0.22<br />

NPK levels: L= Low (90:60:75), M= Medium (102:68:85) , H= High (120:80:100). Foliar compounds: FF. =Folifertile, By.=Byfolane, Fet.= Fertrilon combi.<br />

its components as compared with the control<br />

treatment. The highest values of all the previous<br />

studied parameters were obtained by using folifertile<br />

followed by Byfolane, fetrilon combi and control in<br />

decreasing order. It is clear from the above results<br />

that foliar compounds increased signifi-cantly the<br />

average weight of tuber as well as the weight of<br />

tubers /plant as compared with control treatment.<br />

This effect means that foliar nutrition application<br />

led to an increase in plant yield through dry matter<br />

accumulation in the economic parts of potato<br />

tuber. Results agree with El-Zeiny (2002) found


5106 Afr. J. Microbiol. Res.<br />

that vegetative growth, data affected by foliar compounds<br />

which in turn increased carbohydrate, cell division and<br />

enlargement leading to more yield.<br />

Generally, data indicated that different nutrient compounds<br />

favored the increase of vegetative and productive<br />

growth as well as yield and components of potato plants<br />

(Tables 3 and 4). The changes in the level of mineral<br />

nutrition of the above ground organs of plant are not<br />

attributed to the foliar absorption itself but to the effect of<br />

nutrients uptake by root system (Shereverga, 1959)<br />

The results is supported by Abd- El-Hadi et al. (1998),<br />

on wheat, potato and sugar cane, El-Tohamy et al.<br />

(2007) on Snap beans and Hussein et al. (2008) on<br />

Fodder beet plants, they reported that foliar spray of<br />

micronutrients enhanced growth and increased the dry<br />

matter accumulation in different crops. The content of<br />

crude protein, monosugars, starch, carbohydrate, total<br />

soluble solids (T.S.S) and L. Ascorbic acid in plant tubers<br />

were significantly increased by using the three different foliar<br />

nutritional compounds comparing with the control treatment<br />

(Table 4), the highest values of the chemical composition<br />

were obtained by applying folifertile, Byfolan, fetrilon combi<br />

in decreasing order respectively.<br />

The superiority of folifertile to other nutritional compounds is<br />

due to its higher content of macro and micronutrients<br />

especially nitrogen and suphur (Table 2), nitrogen may have<br />

affect on the uptake and photosynthetic surface, through<br />

increasing the number of cells / leaf and number of leaves /<br />

plant (El-Baz, 1967). Also, Dancs et al. (2008) indicated that<br />

sulphur could increase methionine content of tubers by coexpressing<br />

a gene involved in methionine synthesis, led to<br />

rich of storage protein in potato tubers.<br />

It seems that when foliar nutritionals were used, the<br />

photosynthetic activity was stimulated, leading to<br />

enhancement of chemical constituents as crude protein,<br />

starch, carbohydrate, L-ascorbic acid and T.S.S in shoots<br />

which were afterwards translocated to the tubers. These<br />

effects may also due to the presence of micronutrients in<br />

the foliar compounds as Zn, Cu, Mn and B. Abou-Zied<br />

(1979) concluded that trace elements of folifertile might<br />

be mediated via the enzymatic systems responsible for<br />

biosynthetic apparatus, and thus rising sugars and<br />

nitrogen in intact plants. Furthermore, El-Bassiony et al.<br />

(2006) concluded that spraying sweet pepper plants with<br />

mixture of Fe, Mn and Zn led to increase in ascorbic acid<br />

(vitamin c), total acidity and as compared with the control<br />

treatment.<br />

Effect of interaction between NPK levels and foliar<br />

compounds<br />

The interaction between the NPK levels and the foliar<br />

nutritional compounds significantly affected weight of<br />

tubers/plant and percentage of mono sugars, carbohydrate<br />

and L-ascorbic acid, but did not affect other parameters of<br />

yield as well as the chemical constituents of potato plants<br />

(Table 4). The highest values of yield parameters and<br />

chemical constituents were obtained when the highest level<br />

of NPK was applied and sprayed potato plants with folifertile<br />

compound, while the lowest values were attained by using<br />

the lowest NPK level and sprayed plants with tap water.<br />

Nutrients content in potato shoots and tubers at<br />

harvest<br />

Effect of NPK levels<br />

Data recorded in Table (5) indicated that all the studied<br />

nutrients in shoots and tubers of potato plants<br />

significantly increased with different levels of the added<br />

NPK levels. The highest level of NPK application gave<br />

the highest values of macro (N, P and K) as well as<br />

micronutrients (Fe, Mn, Zn and Cu) as compared with the<br />

medium and lowest levels of NPK. In this connection<br />

Abdalla (2002) found that N, protein, P and K contents of<br />

faba bean leaves were increased by increasing P level<br />

from 100 to 200 kg superphosphate/Fed.<br />

Results are in agreement with those obtained by<br />

Moustafa et al. (2005), El-Ghamring and Saeed (2007 a,<br />

b) and Kamel, et al. (2008) who stated that increasing<br />

NPK levels significantly increased nutrients content and<br />

uptake of sugar beet, potato and wheat plants<br />

respectively. Also, Rohily et al. (2010) found that leaf<br />

nutrient concentrations were at or above the optimum<br />

levels for high yield, their study insured that, soil<br />

application rates of NPK at pre-planting were sufficient to<br />

produce an economical potato yield.<br />

Generally macro and micronutrients in potato tubers<br />

were much lower than those obtained in potato shoots. In<br />

this case Abdel-Fattah et al. (2001) showed that the concentrations<br />

of P, K, Mn, Fe, Zn, Cu, Pb, Ni, Cd and Co in<br />

potato tubers were much lower than that in vegetative<br />

part especially after 90 days from planting.<br />

Effect of foliar compounds<br />

Data presented in Table (5) reveal that macro (N, P and<br />

K) and micronutrients (Fe, Mn, Zn and Cu) content in<br />

both vegetative shoots and tubers of potato plants at<br />

harvest were significantly higher by applying different<br />

foliar compounds than that of control treatment, except,<br />

nitrogen content in shoots and tubers as well as Cu<br />

content in shoots which their increase did not attain the<br />

level of significance at 5%. Highest values of N, P, K and<br />

Cu in shoots and tubers of potato plants were obtained<br />

by using folifertile as compared with other treatments. On<br />

the other hand the highest content of Fe, Mn and Zn, in<br />

shoots and tubers were attained by using fetrilon combi<br />

followed by folifertile, Byfolane and control in decreasing<br />

order. In this concern, Ahmed et al. (1998) stated that<br />

spraying macro and/or micro nutrients significantly


Table 5. Effect of NPK levels and foliar compounds on macronutrients (%) and micronutrients (ppm) content in potato shoot and tubers at harvest time.<br />

Shoot Tuber<br />

Eleiwa et al. 5107<br />

Treatment<br />

Macronutrients % Micronutrients (ppm) Macronutrients % Micronutrients (ppm)<br />

N P K Fe Mn Zn Cu N P K Fe Mn Zn Cu<br />

NPK levels<br />

L 3.31 0.350 4.68 121.31 68.07 32.22 21.15 1.77 0.340 2.63 40.08 12.17 26.25 7.08<br />

M 3.50 0.389 4.93 124.87 71.89 34.62 23.38 1.88 0.360 2.72 42.17 13.50 29.34 7.92<br />

H 3.64 0.415 5.09 128.29 76.89 36.98 26.79 1.99 0.378 2.84 45.33 15.08 30.00 8.75<br />

LSD. at 5% 0.11 0.018 0.06 0.840 0.880 0.380 0.410 0.06 0.020 0.02 0.380 0.460 0.550 0.73<br />

Foliar compounds<br />

Control 3.32 0.361 4.68 119.99 66.98 30.72 21.11 1.76 0.342 2.62 31.33 10.00 19.78 4.89<br />

FF 3.74 0.417 5.26 126.60 73.90 35.62 28.11 2.17 0.386 2.93 46.56 14.44 31.22 10.00<br />

By 3.53 0.388 4.91 121.72 69.94 32.75 24.51 1.84 0.364 2.71 43.78 13.00 29.56 9.89<br />

Fet. 3.37 0.373 4.76 130.98 78.31 39.31 21.35 1.75 0.350 2.68 48.44 16.89 33.56 6.89<br />

LSD at 5% 0.09 0.002 0.08 0.740 0.640 0.600 0.640 0.05 0.002 0.03 0.58 0.69 0.63 0.55<br />

NPK levels × foliar compounds<br />

Control 3.20 0.320 4.50 117.07 62.57 27.97 18.87 1.68 0.330 2.54 27.33 8.67 17.67 4.33<br />

L<br />

FF.<br />

By.<br />

3.57<br />

3.37<br />

0.390<br />

0.357<br />

5.00<br />

4.63<br />

123.17<br />

117.83<br />

69.97<br />

64.40<br />

33.67<br />

30.23<br />

24.67<br />

21.17<br />

1.96<br />

1.74<br />

0.363<br />

0.343<br />

2.79<br />

2.62<br />

44.33<br />

42.00<br />

12.67<br />

12.00<br />

28.33<br />

27.33<br />

8.67<br />

9.00<br />

Fet. 3.20 0.330 4.57 127.17 75.33 37.00 19.87 1.69 0.333 2.58 46.67 15.33 31.67 6.33<br />

Control 3.33 0.370 4.70 120.00 66.43 31.00 20.63 1.78 0.342 2.61 32.00 9.670 20.33 5.000<br />

M<br />

FF.<br />

By.<br />

3.73<br />

3.53<br />

0.413<br />

0.387<br />

5.33<br />

4.93<br />

126.13<br />

122.07<br />

73.17<br />

70.00<br />

35.43<br />

32.90<br />

27.83<br />

23.87<br />

2.20<br />

1.80<br />

0.385<br />

0.365<br />

2.92<br />

2.69<br />

46.00<br />

43.00<br />

14.67<br />

12.67<br />

32.67<br />

30.67<br />

10.33<br />

9.670<br />

Fet. 3.40 0.387 4.77 131.27 77.97 39.13 21.17 1.75 0.349 2.65 47.67 17.00 33.67 6.670<br />

Control 3.43 0.393 4.83 122.90 71.93 33.20 23.83 1.82 0.353 2.70 34.67 11.67 21.33 5.330<br />

H<br />

FF.<br />

By.<br />

3.93<br />

3.70<br />

0.443<br />

0.420<br />

5.43<br />

5.17<br />

130.50<br />

125.27<br />

78.57<br />

75.43<br />

37.77<br />

35.13<br />

31.83<br />

28.50<br />

2.34<br />

1.97<br />

0.410<br />

0.383<br />

3.07<br />

2.80<br />

49.33<br />

46.33<br />

16.00<br />

14.33<br />

32.67<br />

30.67<br />

11.00<br />

11.00<br />

Fet. 3.50 0.403 4.93 134.50 81.63 41.80 23.00 1.82 0.367 2.90 51.00 18.33 35.33 7.670<br />

LSD. at 5% NS 0.004 NS NS 1.110 NS 1.110 0.09 NS NS 1.00 NS NS NS<br />

NPK levels: L= Low (90:60:75), M= Medium (102:68:85) , H= High (120:80:100). Foliar compounds: FF. =Folifertile, By.=Byfolane, Fet.= Fertrilon combi.<br />

increased the leaf content of the sprayed element.<br />

In most cases the greatest content of N, P, K, Mg,<br />

Zn, Mn, Fe and Cu was presented in leaves<br />

picked from trees sprayed with micro and macro-<br />

nutrients together. They added foliar fertilizer<br />

namely fetrilon combi proved to be the best effect<br />

on Fe, Mn and Zn content in their experiment<br />

condition and they attributed this favourable effect<br />

to the higher content of fetrilon combi from Fe, Mn<br />

and Zn nutrients than the other foliar compounds.<br />

This means that foliar application of fertilizers<br />

induced increases in mineral status of plants and


5108 Afr. J. Microbiol. Res.<br />

is considered a useful way to correct the deficiency of<br />

nutrients specially under newly cultivated areas (Darwish<br />

et al., 2002); Thalooth et al., 2005, 2006; Gobarah et al.,<br />

2006).<br />

Effect of interaction between NPK levels and foliar<br />

compounds<br />

The interaction between NPK level and foliar nutritional<br />

compounds significantly affected P, Mn and Cu content in<br />

potato shoots, while it significantly affected N and Fe<br />

content of tubers and did not affect other nutrients in<br />

shoots and tubers of potato plants (Table 5).<br />

The higher content of N, P, K and Cu in shoots and<br />

tubers were obtained by applying highest NPK level and<br />

spraying with folifertile compound, while the highest<br />

values of Fe, Mn and Zn contents in shoots and tubers<br />

were attained by using the higher level of NPK and<br />

sprayed by fetrilon combi. The lowest values of all<br />

nutrients content in shoots and tubers were obtained by<br />

spraying potato plants with tap water and using lowest<br />

level of NPK.<br />

Conclusion<br />

It can be concluded that foliar application of nutritional<br />

compounds under investigation had a beneficial role and<br />

appears to be of great importance in enhancing growth,<br />

yield and chemical constituents of potato plants.<br />

Folifertile showed the highest effect and fetrilon combi<br />

showed the lowest, while Byfolane showed a moderate<br />

effect in this respect. Combination between the highest<br />

NPK levels (120: 80: 100) and folifertile spraying, showed<br />

the most beneficial effects on potato yield.<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5110-5120, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.532<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Antimicrobial properties of skin mucus from four<br />

freshwater cultivable Fishes<br />

(Catla catla, Hypophthalmichthys molitrix, Labeo rohita<br />

and Ctenopharyngodon idella)<br />

Balasubramanian S., Baby Rani P., Arul Prakash A., Prakash M.*, Senthilraja P.<br />

and Gunasekaran G.<br />

Department of Zoology, Annamalai University, Annamalai Nagar, Chidambaram-608002, TN, India.<br />

Accepted 24 August, 2011<br />

The fishes are living in the medium rich in pathogenic microbes. The mucus secreted by the skin of<br />

fish showed more antimicrobial properties. The mucus collected from the two exotic fishes and two<br />

indigenous fishes were tested against the five pathogenic bacteria (Klebsiella pneumonia, Vibrio<br />

cholerae, Salmonella typhi, Escherichia coli and Pseudomonas aeruginosa) and five pathogenic fungi<br />

namely (Mucor globosus, Rhizopus arrhizus, Candida albicans, Aspergillus flavus and Aspergillus<br />

niger). The fishes are living in media rich in pathogenic microbes which secrete substances against<br />

them. The mucus secreted by the skin of fish showed more antimicrobial properties. More antibacterial<br />

and antifungal activity were observed in an indigenous fishes (Catla catla and Labeo rohita) than exotic<br />

fishes (Hypophthalmichthys molitrix and Ctenopharyngodon idella).<br />

Key words: Antibacterial, antifungal, fish mucus, exotic, indigenous fish.<br />

INTRODUCTION<br />

Chemicals from nature have been a part of human<br />

civilization ever since our early ancestor’s began<br />

exploiting natural compounds to improve and enrich their<br />

own lives (Agosta, 1996). A major part of these chemicals<br />

come from animals. Indeed, animals are therapeutic<br />

arsenals that have been playing significant roles in the<br />

healing processes, magic rituals, and religious practices<br />

of peoples (Costa and Marques, 2000). All living<br />

organisms including fish coexist with a wide range of<br />

pathogenic and non- pathogenic microorganisms and<br />

therefore, posses complex defense mechanisms which<br />

contribute to their survival. One mechanism is the innate<br />

immune system that combats pathogens from the<br />

moment of their first contact (kimbrell and Beutler, 2001).<br />

The specific immunity including antibody and specific<br />

cell-mediated responses are significantly less diverse<br />

*Corresponding author. E-mail: dnaprakash@gmail.com.<br />

than those of higher (Ellis, 1974; Manning, 1998).<br />

The development of resistance by a pathogen to many<br />

of the commonly used antibiotics provides an impetus for<br />

further attempts to search for new antimicrobial agents,<br />

which overcome the problems of resistance and side<br />

effects. Action must be taken to reduce this problem such<br />

as controlling the use of antibiotics, carrying out research<br />

to investigate drugs from natural sources. Drugs that can<br />

either inhibit the growth of pathogen or kill them and have<br />

no or least toxicity to the host cell are considered for<br />

developing new antimicrobial drugs. It is well known that<br />

the global trade in animal based medicinal products<br />

accounts for billions of dollars per year (Kunin and<br />

Lawton, 1996). Unlike conventional antibiotics, which are<br />

synthesized enzymatically by microorganisms, are<br />

encoded by a distinct gene (AMP) and made from an<br />

mRNA template. The continuous use of antibiotics has<br />

resulted in multi resistant bacterial strains all over the<br />

world (Mainous and Pomeroy, 2001). Consequently,<br />

there is an urgent need to search for alternatives


to synthetic antibiotics. In spite of modern improvements<br />

in chemotherapeutic techniques, infectious diseases are<br />

still an increasingly important public health issue (WHO,<br />

2002). It has been estimated that in 2000, at least two<br />

million people died from diarrhoeal disease worldwide<br />

(WHO, 2002). Still there is a need for new methods of<br />

reducing or eliminating pathogens, possibly in<br />

combination with existing methods (Leistner, 1978). In<br />

the aquatic environment, fish are in constant interaction<br />

with a wide range of pathogenic and non-pathogenic<br />

microorganisms (Subramanian et al., 2007).<br />

Fish live in a challenging environment facing so many<br />

problems. The microbes play a major role in affecting the<br />

fish health. They escape from such an environment by<br />

producing some substances on the dermal layer (Mucus).<br />

The epidermal mucus produced primarily by epidermal<br />

goblet or mucus cells are composed mainly of water and<br />

gel forming macromolecules including mucins and other<br />

glycoproteins (Shephard, 1993). The composition and<br />

rate of mucus secretion has been observed to change in<br />

response to microbial exposure or to environmental<br />

perturbation such as hyperosmolarity and acidity<br />

(Agarwal et al., 1979; Zuchelkowski et al., 1981; Ellis,<br />

2001). The mucus substance secreted from the surface<br />

of fish performs a number of functions including disease<br />

resistance, respiration, ionic and osmotic regulation,<br />

locomotion, reproduction, communication, feeding and<br />

nest building (Ingram, 1980; Fletcher, 1978). Despite an<br />

intimate contact with high concentrations of pathogens<br />

(bacteria and viruses) in their environment, the fish can<br />

still maintain a healthy system under normal conditions.<br />

This could be attributed to a complex system of innate<br />

defense mechanisms within themselves, particularly the<br />

products of broad spectrum-antimicrobial compound.<br />

Many researchers have proved that the mucus<br />

substances are good resistant to invading pathogens<br />

(Ingram, 1980; Fletcher, 1978; Austin and Mcintosh,<br />

1988; Fouz et al., 1990).<br />

Fish mucus (slime layer) is the first physical barrier that<br />

inhibits entry of microbes from an environment into fish. It<br />

acts as a chemical barrier containing enzymes and<br />

antibodies which can kill invading disease causing<br />

organisms (Rottmann et al., 1992). A fatty acid<br />

compositional study of the flesh of Haruan (Channa<br />

striatus) revealed those unusually high arachidonic acids,<br />

but almost no eicosapentaenoic acids, which were<br />

hypothesized to be actively involved in initiating tissue<br />

wound repair (Mat Jais et al., 1994). Antimicrobial activity<br />

in mucus has been demonstrated in several fish species<br />

(Austin and Mcintosh, 1988), yet this activity seems to<br />

vary from one fish species to the other and can be<br />

specific towards certain bacteria (Noga et al., 1995).<br />

When we are reviewing the literature among the fresh<br />

water fishes the studies are available mostly on cold<br />

water fishes.<br />

Studies are available on C. striatus, Cyprinus carpio<br />

(Cole et al., 1997) and Etheostoma crossopterum (Knouft<br />

Balasubramanian et al. 5111<br />

et al., 2003). Though studies are available on the<br />

microbicidal activities of fish mucus they are pertaining<br />

only against bacteria except a single study against fungi<br />

(Hellio et al., 2002). Antimicrobial activity was<br />

demonstrated in Channa punctatus and Cirrhinus mrigala<br />

(Kuppulakshmi et al., 2008). Antimicrobial activity of skin<br />

and intestinal mucus of five different freshwater fish<br />

Channa species was studied by Dhanraj et al. (2009).<br />

Apart from these no studies are available on the mucus<br />

of the cultivable fresh water fishes like Catla catla, Labeo<br />

rohita (Indigenous fishes), Hypophthalmichthys molitrix<br />

and Ctenopharyngodon idella (Exotic fishes).<br />

Hence it was decided to evaluate the bactericidal and<br />

fungicidal properties of surface and column feeders<br />

namely C. catla, H. molitrix, Labeo rohita and<br />

Ctenopharyngodon idella. In the present investigation few<br />

microbial species of bacteria such as, Klebsiella<br />

pneumonia, Vibrio cholerae, Salmonella typhi,<br />

Escherichia coli, Pesudomonas aeruginosa and fungi,<br />

Mucur globosus, Rhizopus arrhizus, Candida albicans,<br />

Aspergillus flavus and Aspergillus niger were selected.<br />

MATERIALS AND METHODS<br />

Collection of mucus<br />

The healthy live fishes approximately 6 months old, weigh about<br />

500 gms of each C. catla, L. rohita, H. molitrix C. idella were<br />

purchased from near by fish farm in Pinnalur, Cuddalore District,<br />

Tamil Nadu. Mucus was carefully scraped from the dorsal surface<br />

of the body using a sterile spatula. Mucus was not collected in the<br />

ventral side to avoid intestinal and sperm contamination. The<br />

collected fish mucus was stored at 4ºC for further use.<br />

Preparation of mucus sample for the antibacterial and<br />

antifungal studies.<br />

The mucus samples were collected aseptically from the fish and<br />

thoroughly mixed with equal quantity of sterilized physiological<br />

saline (0.85% NaCl) and centrifuged at 5000 rpm for 15 min, the<br />

supernatant was used for the antimicrobial studies and kept at 4°C<br />

until use.<br />

A thin layer of molten agar (Muller Hinton Agar) was dispensed in<br />

petriplates of 10 × 10 cm and was labled properly. Triplicates were<br />

maintained for each strain. In the same way for fungal studies PDA<br />

medium was dispensed in petriplates for different strains of fungi in<br />

triplicates and the plates were marked.<br />

Inoculation of bacterial strains<br />

The microbial strains were collected from the Balaji High-tech<br />

Laboratory in Manjakuppam, Cuddalore district, Tamil Nadu.<br />

In vitro antibacterial assay was carried out by disc diffusion<br />

technique (Bauer et al., 1996). Whatman No.1 filter paper discs<br />

with 4 mm diameter were impregnated with known amount (10 µl)<br />

of test sample of fish mucus and a standard antibiotic disc. At room<br />

temperature (37ºC) the bacterial plates were incubated for 24 h.<br />

The fungal plates were incubated at 30ºC for 3 to 5 days for<br />

antifungal activity. The results were recorded by measuring the<br />

zones of growth inhibition surrounding the disc. Clear inhibition<br />

zones around the discs were expressed in terms of diameter of


5112 Afr. J. Microbiol. Res.<br />

Table 1. Antibacterial activity of skin mucus from Catla and Silver carp.<br />

S/N Name of the Bacterial Pathogens<br />

Zone of inhibition (in mm) Control (Ciproflaxin)<br />

Catla Silver carp<br />

(in mm)<br />

1 K. pneumonia 25 22 24<br />

2 V. cholerae 21 20 22<br />

3 S. typhi 32 15 28<br />

4 E. coli 23 16 22<br />

5 P. aeruginosa 29 22 32<br />

Table 2. Antibacterial activity of skin mucus from Rohu and Grass carp.<br />

S/N Name of the Bacterial Pathogens<br />

Zone of Inhibition (in mm) Control<br />

(Ciproflaxin) (in mm)<br />

Rohu Grass carp<br />

1 K. pneumonia 24 7 24<br />

2 V. cholerae 21 7 22<br />

3 S. typhi 14 12 28<br />

4 E. coli 21 17 22<br />

5 P. aeruginosa 19 15 32<br />

zone of inhibition and were measured in mm using cm scale,<br />

recorded and the average were tabulated.<br />

Antimicrobial assay<br />

The spectrum of antimicrobial activity was studied using five<br />

different strains of human pathogenic bacteria and five species of<br />

fungal pathogens. One antibiotic agent Ciproflaxin for pathogenic<br />

bacteria and Ketoconazole for pathogenic fungi were used as<br />

control.<br />

RESULTS<br />

Antimicrobial effect of the mucus of surface feeder and<br />

column feeder freshwater fishes namely, C. catla, H.<br />

molitrix (Surface feeder), L. rohita (Column feeder), C.<br />

idella were tested against, pathogenic bacteria viz, K.<br />

pneumonia, V. cholerae, S. typhi, E. coli, P. aeruginosa<br />

and five pathogenic fungi viz, Mucor globosus, Rhizopus<br />

arrhizus, Candida albicans, Aspergillus flavus,<br />

Aspergillus niger. The activity was measured in terms of<br />

zone of inhibition in mm.<br />

Antibacterial effect of mucus from surface feeders<br />

and column feeders<br />

The inhibition effects of mucus of C. catla, H. molitrix<br />

against five pathogenic bacterial strains are given in<br />

Table 1 and the zone of inhibition by the mucus of L.<br />

rohita, C. idella are given in Table 2. The zone of<br />

inhibition values of mucus were compared with control<br />

(Ciproflaxin) and the observed values are tabulated in<br />

Tables 1 and 2, respectively.<br />

The mucus of C. catla showed more effect in controlling<br />

the growth of gram-negative bacteria Salmonella typhi<br />

with an inhibition zone of 32 mm in diameter which is<br />

more than the control (Figure 3). Next to S. typhi, the<br />

mucus of C. catla showed a better effect on P.<br />

aeruginosa having an inhibition zone of 29 mm in<br />

diameter (Figure 5). That was followed by the K.<br />

pneumonia with an inhibition zone of 25 mm in diameter<br />

(Figure 1). Among the five gram-negative bacteria tested<br />

V. cholerae and E. coli showed very less sensitivity to the<br />

mucus of C. catla with an inhibition zone of 21 and 23<br />

mm in diameter (Figures 2 and 4).<br />

The mucus of H. molitrix showed more effect in<br />

controlling the growth of K. pneumonia and P. aeruginosa<br />

with an inhibition zone of 22 and 22 mm in diameter<br />

(Figures 1 and 5). Moderate effect was observed in<br />

controlling the growth of V. cholerae with a zone of<br />

inhibition is 20 mm in diameter (Figure 3). S. typhi (15<br />

mm) and E. coli (16 mm) showed very less sensitivity to<br />

the mucus of H. molitrix (Figures 3 and 4).<br />

Whereas the mucus of L. rohita showed a strong effect<br />

in controlling the growth of K. pneumonia with an<br />

inhibition zone of 24 mm diameter (Figure 1). V. cholerae<br />

and E. coli showed a better effect in the mucus of H.<br />

molitrix with an inhibition zone of 21 mm in diameter<br />

(Figures 2 and 4). Among the five bacteria tested S.<br />

typhi and P. aeruginosa showed less sensitivity to the<br />

mucus with an inhibition zone is 14 mm and 19 mm in<br />

diameter (Figures 3 and 5).<br />

The mucus of C. idella showed more effect in<br />

controlling the growth of E. coli with an inhibition zone of<br />

17 mm diameter (Figure 4). The moderate effect was<br />

observed in controlling the growth of S. typhi (12 mm)<br />

and P. aeruginosa (15 mm) by the mucus of C. idella.


Among these, the K. pneumonia and V. cholerae showed<br />

very less sensitivity to the mucus of C. idella with an<br />

inhibition zone of 7 mm diameter (Figures 1 and 2).<br />

The antibacterial activity of control Ciproflaxin showed<br />

maximum activity in three bacteria and some bacteria it<br />

showed less activity than the mucus sample.<br />

Antifungal effect of mucus<br />

Figure 1. K. pneumonia antibacterial activity of fish skin mucus.<br />

Figure 2. Vibrio cholerae<br />

The effect of mucus from C. catla, H. molitrix against five<br />

pathogenic fungal strains are given in Table 3 and the<br />

zone of inhibition by the mucus of L. rohita, C. idella are<br />

Figure 2. Vibrio cholera Antibacterial activity of fish skin mucus.<br />

Balasubramanian et al. 5113<br />

given in Table 4. The zone of inhibition values of control<br />

(Ketoconazole) are tabulated in Tables 3 and 4,<br />

respectively. The mucus of C. catla showed a maximum<br />

effect in controlling the growth of A. flavus with an<br />

inhibition zone of 17 mm diameter which is less than the<br />

control (19 mm) (Figure 9). Next to this, the Mucor<br />

globosus (16 mm) and R. arrhizus (16 mm) have more<br />

zone of inhibition (Figure 6 and Figure 7). Whereas as<br />

the mucus of C. catla has less effect in controlling the<br />

growth of C. albicans (14 mm) and A. niger (9 mm)<br />

(Figures 8 and 10). Likewise the mucus collected from H.<br />

molitrix has highest effect in controlling the growth of A.<br />

flavus with an inhibition zone is 17 mm (Figure 9). On the


5114 Afr. J. Microbiol. Res.<br />

Figure 3. Salmonella typhi<br />

contrary there is no effect in controlling the growth of<br />

Rhizopus sp and C. albicans. (Figures 7 and 8). The<br />

mucus of H. molitrix shows the moderate effect in<br />

controlling the growth of Mucor globosus (14 mm) and A.<br />

niger (8 mm) (Figures 6 and 10).<br />

L. rohita a column feeder showed more effect in<br />

controlling the growth of A. flavus (17 mm). The mucus<br />

of L. rohita has very less sensitivity against the growth of<br />

M. globosus and R. arrhizus (14 mm) (Figures 6 and 7).<br />

But the mucus of L. rohita has the better effect in<br />

controlling the growth of C. albicans (15 mm) and A. niger<br />

Figure 3. Salmonella typhi Antibacterial activity of fish<br />

skin mucus.<br />

Figure 4. Escherichia coli<br />

Figure 4. Escherichia coli Antibacterial activity of fish<br />

skin mucus.<br />

(15 mm) (Figures 8 and 10).<br />

The mucus of C. idella shows the highest activity<br />

against A. flavus with an inhibition zone of 16 mm in<br />

diameter (Figure 9). Next to A. flavus the mucus shows<br />

better effect in controlling the growth of M. globosus (15<br />

mm), R. arrhizus (15 mm) and C. albicans (13 mm) in<br />

diameter (Figures 6, 7 and 8). But it failed to control the<br />

growth of A. niger (Figure 10).<br />

The antifungal activity of control Ketoconazole showed<br />

a variety of activity against M. globosus (16 mm), R.<br />

arrhizus (15 mm), C. albicans (17 mm), A. flavus (19 mm)


Figure 5. Pseudomonas aeruginosa Antibacterial<br />

activity of fish skin mucus. Co – Control, C – Catla, R<br />

– Rohu, S - Silver carp, G - Grass carp.<br />

Table 3. Antifungal activity of skin mucus from Catla and Silver carp.<br />

Balasubramanian et al. 5115<br />

Zone of Inhibition (in mm) Control<br />

SNo Name of the Fungal Pathogens<br />

Catla Silver carp (Ketoconazole) (in mm)<br />

1 M. globosus 14 16mm<br />

16<br />

2 R. arrhizus 16 ----- 15<br />

3 C. albicans 14 ----- 17<br />

4 A. flavus 17 17 19<br />

5 A. niger 9 8 11<br />

Table 4. Antifungal activity of skin mucus from Rohu and Grass carp.<br />

SN Name of the Fungal Pathogens<br />

Zone of Inhibition (in mm) Control<br />

(Ketoconazole) (in mm)<br />

Rohu Grass carp<br />

1 M. globosus 14 15 16<br />

2 R. arrhizus 14 15 15<br />

3 C. albicans 15 13 17<br />

4 A. flavus 17 16 19<br />

5 A. niger 15 ---- 11<br />

and A. niger (11 mm), respectively.<br />

DISCUSSION<br />

The epithelial surfaces of fish, such as the skin, gills and<br />

the alimentary tract provide first contact with potential<br />

pathogens. The biological interface between fish and<br />

their aqueous environment consists of a mucus layer<br />

composing of biochemically-diverse secretions from<br />

Figure 5. Pseudomonas aeruginosa<br />

epidermal and epithelial cells (Ellis, 1999). This layer is<br />

thought to act as a lubricant to have a mechanical<br />

protective function, to be involved in osmoregulation and<br />

play a possible role in immune system of fish. Fish tissue<br />

and body fluids contain naturally occurring proteins or<br />

glycoproteins of non-immunoglobulin nature that react<br />

with a diverse array of environmental antigens and may<br />

confer an undefined degree of natural immunity to fish.<br />

Antimicrobial peptides are among the earliest developed<br />

molecular effectors of innate immunity and are significant


5116 Afr. J. Microbiol. Res.<br />

in the first line of host defense response of diverse<br />

species.<br />

Most antimicrobial peptides found through out the<br />

animal and plant kingdom are small, functionally<br />

specialized peptides (Boman, 1995). Several<br />

endogenous peptides with antimicrobial activity from fish,<br />

Figure 6. Mucor globosus<br />

Figure 6. Mucor globosus Co – Control, C – Catla, R – Rohu,<br />

S - Silver carp, G - Grass carp.<br />

Figure 7. Rhizopus arrhizus<br />

Figure 7. Rhizopus arrhizus Co – Control, C – Catla, R –<br />

Rohu, S - Silver carp, G - Grass carp.<br />

especially from the skin and skin mucus are reported<br />

(Park et al., 1997). Endogenous peptides play an<br />

important role in fish defense, possess broad spectrum of<br />

antimicrobial activity against bacteria, yeast and fungi.<br />

The epidermic and the epithelial mucus secretions act as<br />

biological barriers between fish and the potential


pathogens of their environment (Shephard, 1993). Group<br />

of researchers suggest that the epidermal mucus acts as<br />

a first line of defense against pathogens and therefore<br />

may offer a potential source of novel antimicrobial<br />

compounds (Ellis, 2001; Fouz et al., 1990; Grinde et al.,<br />

1988; Nagashima et al., 2001; Sarmasik, 2002).<br />

The mucus producing cells in epidermal and epithelial<br />

layers had been reported to differ between fish species<br />

Figure 8. Candida albicans<br />

Figure 8. Candida albicans Co – Control, C – Catla, R –<br />

Rohu, S - Silver carp, G - Grass carp.<br />

Figure 9. Aspergillus flavus<br />

Figure 9. Aspergillus flavus Co – Control, C – Catla, R – Rohu,<br />

S - Silver carp, G - Grass carp.<br />

Balasubramanian et al. 5117<br />

and therefore could influence the mucus composition.<br />

Furthermore, the biochemical substances of mucus have<br />

been showed to differ depending on the ecological and<br />

physiological condition (Subramanian et al., 2008). In the<br />

present study also the mucus secreted by fishes are<br />

having strong resistance to the microbes. The mucus<br />

collected from all the four fishes show vary activity<br />

against the tested bacteria.


5118 Afr. J. Microbiol. Res.<br />

Figure 10. Aspergillus niger Co – Control, C – Catla, R –<br />

Rohu, S - Silver carp, G - Grass carp.<br />

Amphipathic α-helical peptides, such as dermaseptin,<br />

ceratotoxin and magainin bind with anionic<br />

phospholipids-rich membranes and dissolve them like<br />

detergents (Pouny et al., 1992; Shai, 1995). These<br />

peptides are known to exert action by binding to the<br />

surface of the microbial membranes and causing a lysis<br />

of the intracellular contents. Our present study was also<br />

supported by the above studies in showing the<br />

antibacterial activity.<br />

Fish contain serum and cellular interferon which<br />

possess anti-viral proteins, enzymes- inhibitors (e.g. αmacroglobulin<br />

and other β-globulins) that inhibit the extra<br />

cellular proteases secreted by pathogens (Alexander and<br />

Ingram, 1992). They added that number of relatively<br />

specific lytic molecules, like hydrolase enzymes<br />

(Lysozyme, Chinase and Chitobiase) act on fungi and<br />

bacteria. Fish also contain lectins possess antifungal and<br />

antibacterial activities. Mucus contain several proteases<br />

(serine proteases, cysteine proteases, metalloproteases<br />

and trypsin (like proteases) having strong antibacterial<br />

activity (Fast et al., 2002). The mechanism by which<br />

antimicrobial substance kill microbes are still unclear, but<br />

it is currently thought that different peptides employ<br />

different strategies. These include the fatal depolarization<br />

of the cell membrane (Westerhoff et al., 1989), the<br />

formation of pores and subsequent leakage of the cell<br />

contents (Yang et al., 2000) or the damaging of critical<br />

intracellular targets after internalization of the peptide<br />

(Kargol et al., 2001).<br />

The antimicrobial substance present in the mucus may<br />

function either in the cytoplasm against intracellular<br />

pathogens or extracellularly through release to mucosal<br />

Figure 10. Aspergillus niger<br />

surfaces after infection-induced cell lysis or apoptosis.<br />

Few antimicrobial agents structurally identified in the<br />

mucus of bony fishes are proteins. It has been proposed<br />

that these compounds bind to and essentially dissolve<br />

cellular membrane (Ebran et al., 1999; Zasloff, 2002).<br />

The data of present study indicate that the antimicrobial<br />

activity of the fish mucus may be due to the presence of<br />

the above said substances. The mode of action of<br />

mucus is yet to be determined but studies have proposed<br />

various killing mechanisms for fish derived AMPs such as<br />

cytoplasmic membrane disruption, pore or channel<br />

formation (Syvitski et al., 2005) and inhibition of cell wall<br />

and nucleic acid synthesis (Partzykat et al., 2002;<br />

Brogden, 2005).<br />

In the present study, variation in their antimicrobial<br />

activity was observed among the fish mucus. This may<br />

be due to the variation in the relative levels of lysozyme,<br />

alkaline phosphatase, cathepsin B and proteases of the<br />

epidermal mucus of all fish species (Subramanian et al.,<br />

2007).<br />

Both the indigenous and exotic fish species have the<br />

activity against the bacterial pathogens, whereas some<br />

fungal pathogens were not controlled by the mucus of<br />

exotic fishes. But the mucus of indigenous fishes controls<br />

the tested fungal pathogens. Native fish species<br />

(indigenous) thrives better in prevalent conditions in<br />

controlling the mosquitoes than exotic fishes (Chandra et<br />

al., 2008). Falling in line with the above observation, the<br />

indigenous fish species such as C. catla and L. rohita<br />

show higher antimicrobial activity than that of the exotic<br />

fish species such as H. molitrix and C. idella. This is the<br />

first report on the antimicrobial activity of skin mucus of


cultivable indigenous fishes of India. Moreover the mucus<br />

of fish possesses antimicrobial agents which could be<br />

used to formulate new drugs for the therapy of infectious<br />

diseases caused by pathogenic and opportunistic<br />

microorganisms. These properties of mucus suggest that<br />

it may be beneficial in aquaculture and human healthrelated<br />

applications. Further studies are needed to isolate<br />

the bioactive compounds (antimicrobial substances) from<br />

the mucus of these cultivable fish species and the<br />

mechanism of antimicrobial action.<br />

AKNOWLEDGEMENTS<br />

Authors thank the authorities of Annamalai University,<br />

and the Head of the Department of Zoology for providing<br />

the facilities to carry out this study.<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5121-5125, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1007<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Evaluation of oxidative stress in patients with tularemia<br />

Sema Koc 1 , Erkan Sogut 2 , Fazilet Duygu 3 , Levent Gurbuzler 1 , Ahmet Eyibilen 1 and<br />

Ibrahim Aladag 1<br />

1 Department of Otorhinolaryngology, Gaziosmanpasa University School of Medicine, Tokat/Turkey.<br />

2 Department of Biochemistry and Clinical Biochemistry, Gaziosmanpasa University School of Medicine, Tokat/Turkey.<br />

3 Department of Infectious Disease and Clinic <strong>Microbiology</strong>, Tokat State Hospital, Tokat/Turkey.<br />

Accepted 25 October, 2011<br />

Tularemia, a zoonotic acute febrile invasive disease with rapid intracellular replication resulting in high<br />

bacterial densities, accumulation of phagocytes, and extensive tissue necrosis; may be related to<br />

increased free radical production and antioxidant depletion and; oxidative stress. The aim of this study<br />

was to investigate serum malondialdehyde (MDA) level and superoxide dismutase (SOD), glutathione<br />

peroxidase (GSHPx) activities in patients with tularemia during pre- and post-treatment period and to<br />

compare results obtained with data from healthy subjects. A total of 90 subjects (40 patients with<br />

tularemia and 50 healthy controls) were enrolled in this study. Peripheral venous blood samples were<br />

taken from patients before and 3 months after the treatment. In the control group, blood samples from<br />

healthy volunteers were collected only once. Serum MDA level and SOD, GSHPx activities were<br />

measured. In the ‘before treatment’ group, MDA concentration was significantly higher than the control<br />

group (p


5122 Afr. J. Microbiol. Res.<br />

is the consequence of an increase in ROS and/or<br />

impairment in antioxidant mechanisms (Serafini and Del<br />

Rio, 2004; Dogruer et al., 2004).<br />

Lipid peroxidation is an autocatalytic mechanism; fatty<br />

acids from the cell membrane become oxidized by a<br />

chain reaction. Malondialdehyde (MDA) is an important<br />

product of the peroxidation process; its levels correlate<br />

with the degree of lipid peroxidation. Therefore, MDA<br />

levels are generally used as an indicator of lipid<br />

peroxidation (Ogunro and Ologunagba, 2011; Valko et<br />

al., 2006).<br />

Antioxidant enzymes like superoxide dismutase (SOD),<br />

glutathione peroxidase (GSHPx), and catalase (CAT) try<br />

to prevent the damaging effects oxidation products have<br />

on an organism (Koc et al., 2011; Akanbi et al., 2010).<br />

Numerous studies have demonstrated that in various<br />

types of infectious diseases, reactive oxygen species are<br />

produced by activated inflammatory cells during the<br />

inflammatory response in order to kill various intracellular<br />

pathogens (Serefhanoglu et al., 2009; Selek et al., 2008).<br />

Therefore, it is possible that tularemia may be related to<br />

increased free radical production and antioxidant<br />

depletion, and oxidative stress may be implicated in the<br />

pathogenesis of tularemia.<br />

The aim of this study was to investigate serum MDA<br />

level, SOD and GSHPx activities in patients with<br />

tularemia during pre- and post-treatment period and to<br />

compare results with data from healthy subjects.<br />

MATERIALS AND METHODS<br />

Patients and methods<br />

This is a prospective, controlled study of patients with tularemia.<br />

The study was approved by the local ethics committee. Patient’s<br />

consents were obtained prior to the start of any procedures.<br />

A total of 90 subjects (40 patients with tularemia and 50 healthy<br />

controls) were enrolled in this study. All patients underwent a<br />

baseline evaluation including a detailed medical history, typical<br />

otorhinolaryngologic examination, and blood tests. Tularemia was<br />

suspected in individuals living in the epidemic zone who presented<br />

with the findings of fever, pharyngitis or tonsillitis and/or cervical<br />

lymphadenopathy and who did not respond to penicillin treatment.<br />

Exclusion criteria included autoimmune disorders, pregnancy,<br />

malignancy, drug or alcohol abuse, human immune deficiency virus<br />

infection, other acute infections other than tularemia, chronic<br />

respiratory insufficiency and any liver, hematological,<br />

cardiovascular, cerebrovascular, metabolic, neurologic, or<br />

psychiatric diseases. The patients with tularemia were treated with<br />

intramuscular streptomycin (1 g every 12 h) for 14 days.<br />

Diagnosis of tularemia<br />

Blood specimens were obtained from all patients with suspected<br />

tularemia. Patient’s diagnoses were confirmed by serological tests<br />

and polymerase chain reaction (PCR). The microagglutination<br />

method was used for the serological diagnosis. Antibody titers of<br />

1:160 and above or positive polymerase chain reaction (PCR) were<br />

accepted to be significant for diagnosis (Leblebicioglu et al., 2008).<br />

In our patients, a granulomatous inflammation was observed in the<br />

histopathological examination of the specimen taken from the<br />

cervical lymphadenopathy.<br />

Blood sample collections<br />

Fasting peripheral venous blood samples were taken before and 3<br />

months after the treatment. In the control group, blood samples<br />

from healthy volunteers were collected only once. Samples were<br />

allowed to clot for 20 min at room temperature before the serum<br />

was separated by centrifugation (1500 xg for 10 min at 4°C). The<br />

serum samples were separated from the clot within one hour of<br />

blood collection and transferred to a clean test tube. Serum<br />

samples were stored at –70°C until the investigation .<br />

Biochemical analysis<br />

The following determinations were made on the samples using<br />

commercial chemicals supplied by Sigma (St. Louis, USA). Total<br />

(Cu/Zn and Mn) SOD activity was determined according to the<br />

method of Sun et al. (1988). The principle of the method is based<br />

on the inhibition of nitroblue tetrazolium (NBT) reduction by the<br />

xanthine-xanthine oxidase system as a superoxide generator. One<br />

unit of SOD was defined as the enzyme amount causing 50%<br />

inhibition in the NBT reduction rate. Serum SOD activity was<br />

expressed as units per milliliter serum (U ml -1 ). Glutathione<br />

peroxidase activity was measured by the method of Paglia and<br />

Valentine (1967). The enzymatic reaction in the tube, which<br />

contains NADPH, reduced glutathione, sodium azide, and<br />

glutathione reductase, was initiated by addition of H2O2, and the<br />

change in absorbance at 340 nm was monitored by a<br />

spectrophotometer. Activity is expressed as U L -1 . The MDA level<br />

was determined by a method based on the reaction with<br />

thiobarbituric acid (TBA) at 90-100°C (Esterbauer and Chee seman,<br />

1990). In the TBA test reaction, malondialdehyde (MDA) or MDAlike<br />

substances and TBA react together to produce a pink pigment<br />

having an absorption maximum at 532 nm. The results were<br />

expressed as micromole per liter serum sample (umol L -1 ).<br />

Statistical analysis<br />

Pearson’s chi-square test was used to compare the gender<br />

between groups. Gender was presented as count and percentage.<br />

The Kolmogorov-Smirnov test was used to evaluate whether the<br />

variables were normally distributed. The two independent sample t<br />

test or Mann Whitney U test were used to compare continuous<br />

variables between control and patient groups. Continuous variables<br />

were presented as mean (standard deviation (SD) or median<br />

(interquartile range[Q1-Q3]). A paired t test or Wilcoxon test were<br />

used to detect differences between the before- and after-treatment<br />

periods. SPSS software 15.0 for Windows (Chicago, IL, USA) was<br />

used for all statistical analysis. P-values were considered<br />

statistically significant when they were


Table 1. Oxidative stress parameters in the study groups.<br />

GSHPx * MDA † SOD *<br />

Before treatment (n = 40) 581±179 b<br />

3.40 (2.79-4.02) a<br />

After treatment (n = 40) 633±150<br />

4.33±1.23<br />

c<br />

2.00 (1.74-2.70) a,d<br />

3.83±1.43<br />

Control (n = 50) 709±251 1.36 (1.30-1.52) 4.08±0.86<br />

* , Values are presented as means ± SD; † , Values are presented as median and interquartile range (Q1-Q3); a , p<br />


5124 Afr. J. Microbiol. Res.<br />

two groups. Prasad et al. (2008) evaluated 100 patients<br />

with leprosy and 50 healthy controls for oxidative stress.<br />

They determined that blood glutathione content and<br />

erythrocyte antioxidant enzyme activities of GSH-Px and<br />

glutathione reductase were lower in leprosy patients with<br />

chronic granulomatous infection than those in the control<br />

group. Moreover, they reported that oxidative stress was<br />

associated with insufficient antioxidant defense potential<br />

in subjects with leprosy. Melek et al. (2006) inoculated<br />

Brucella melitensis, an intracellular pathogen leading to<br />

chronic infection, into rats in their experimental study.<br />

They reported the formation of oxidative stress, as well<br />

as decreased activities of antioxidant enzymes like<br />

glutathione peroxidase (GSH-Px) and superoxide<br />

dismutase (SOD) which indicated that oxidative stress<br />

may be important in the pathogenesis of brucellosis.<br />

Naderi et al. (2011) found that antioxidant activities were<br />

decreased in patients with pulmonary tuberculosis as<br />

compared to control group. They reported that<br />

oxidant/antioxidant imbalance induced by inflammation<br />

may have an impact on antioxidant activities.<br />

Conclusion<br />

In our study, in the ‘before treatment’ group, MDA<br />

concentration was significantly higher than the control<br />

group, but GSH-Px activity was lower than the control<br />

group. The SOD activity was similar in the ‘before<br />

treatment’ group and the control group. MDA<br />

concentration decreased in the ‘after treatment’ group. In<br />

the ‘after treatment’ group, MDA concentration was<br />

significantly higher than the control group. GSH-Px<br />

activity increased in the ‘after treatment’ group, but the<br />

difference was statistically insignificant. GSH-Px activity<br />

was slightly higher in the control group compared to the<br />

‘after treatment’ group, but the difference was statistically<br />

insignificant. SOD activity has not changed in the ‘after<br />

treatment’ group. Also, SOD activity was similar in the<br />

control and the ‘after treatment’ group. In conclusion, the<br />

data obtained from the present study showed that<br />

patients with tularemia are exposed to potent oxidative<br />

stress. However, further studies with larger sample sizes<br />

are needed to define the exact role of oxidative stress in<br />

the pathogenesis and treatment of the disease.<br />

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Kiroglu AF, Noyan T, Oger M, Kara T (2006). Oxidants and antioxidants<br />

in tonsillar and adenoidal tissue in chronic adenotonsillitis and<br />

adenotonsillar hypertrophy in children. Int. J. Pediatr.<br />

Otorhinolaryngol., 70(1): 35-38.<br />

Koc F, Kalay N, Ardic I, Ozbek K, Celik A, Ceyhan K, Kadi H, Karayakali<br />

M, Sahin S, Altunkas F, Onalan O, Kaya MG (2011). Antioxidant<br />

status and levels of antioxidant vitamins in coronary artery ectasia.<br />

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Leblebicioglu H, Esen S, Turan D, Tanyeri Y, Karadenizli A, Ziyagil F,<br />

Goral G (2008). Outbreak of tularemia: a case-control study and<br />

environmental investigation in Turkey. Int. J. Infect. Dis., 12(3): 265-<br />

269.<br />

Melek IM, Erdogan S, Celik S, Aslantas O, Duman T (2006). Evaluation<br />

of oxidative stress and inflammation in long term Brucella melitensis<br />

infection. Mol. Cell Biochem., 293(1-2): 203-209.<br />

Naderi M, Hashemi M, Komijani-Bozchaloei F, Moazeni-Roodi A,<br />

Momenimoghaddam M (2011). Serum paraoxonase and arylesterase<br />

activities in patients with pulmonary tuberculosis. Pathophysiology,<br />

18(2): 117-20.<br />

Ogunro PS, Ogungbamigbe TO, Muhibi MA (2010). The influence of<br />

storage period on the antioxidants level of red blood cells and the<br />

plasma before transfusion. Afr. J. Med. Med. Sci., 39(2): 99-104.<br />

Ogunro PS, Ologunagba PO (2011). The Effect of Palm Wine on Lipid<br />

Peroxidation and Antioxidant status of Rural dwellers in South West<br />

Nigeria. Niger Postgrad. Med. J., 18(3): 186-90.<br />

Ozcan C, Tamer L, Ates NA, Görür K (2010). The glutathione-Stransferase<br />

gene polymorphisms (Gstt1, Gstm1, and Gstp1) in<br />

patients with non-allergic nasal polyposis. Eur. Arch.<br />

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Paglia DE, Valentine WN (1967). Studies on the quantitative and<br />

qualitative characterization of erythrocyte glutathione peroxidase. J.<br />

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Parks RR, Huang CC, Haddad J Jr (1996). Middle ear catalase<br />

distribution in an animal model of otitis media. Eur. Arch.<br />

Otorhinolaryngol., 253(8): 445-449.<br />

Prasad CV, Kodliwadmath MV, Kodliwadmath GB (2008). Erythrocyte<br />

glutathione peroxidase, glutathione reductase activities and blood<br />

glutathione content in leprosy. J. Infect., 56(6): 469-473.<br />

Selek S, Cosar N, Kocyigit A, Erel O, Aksoy N, Gencer M, Gunak F,<br />

Aslan M (2008). PON1 activity and total oxidant status in patients<br />

with active pulmonary tuberculosis. Clin. Biochem., 41(3): 140-144.<br />

Serafini M, Del Rio D (2004). Understanding the association between<br />

dietary antioxidants, redox status and disease: is the total<br />

antioxidant capacity the right tool? Redox Rep., 9(3): 145-152.<br />

Serefhanoglu K, Taskin A, Turan H, Timurkaynak FE, Arslan H, Erel O<br />

(2009). Evaluation of oxidative status in patients with brucellosis.<br />

Braz. J. Infect. Dis., 13(4): 249-251.<br />

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superoxide dismutase. Clin. Chem., 34(3): 497-500.<br />

Tärnvik A, Chu MC (2007). New approaches to diagnosis and therapy


of tularemia. Ann N Y Acad. Sci., 1105: 378-404.<br />

Valko M, Rhodes CJ, Moncol J, Izakovic M, Mazur M (2006). Free<br />

radicals, metals and antioxydants in oxidative stress-induced cancer.<br />

Chem. Biol. Interact., 160(1): 1-40.<br />

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Westerveld GJ, Dekker I, Voss HP, Bast A, Scheeren RA (1997).<br />

Antioxidant levels in the nasal mucosa of patients with chronic<br />

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123(2): 201-204.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5126-5133, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1008<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Introducing a novel facultative nitrifying bacterium,<br />

"Nitrobacteria hamadaniensis"<br />

Mohammad Zare 1 , Mohammad Hassan Heidari 2 *, Farkhondeh Pouresmaeili 3 , Maryam Niyyati 4<br />

and Mohammad Moradi 5<br />

1 Department of Plant Pathology, Faculty of Agriculture, University of Bu-Ali-Sina, Hamadan, Iran.<br />

2 Cellular and Molecular Biology <strong>Research</strong> Center, Faculty of Medicine, Shahid Beheshti University of Medical Sciences,<br />

Tehran, Iran.<br />

3 Department of Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br />

4 Department of Medical Parasitology and Mycology, School of Medicine, Shahid Beheshti University of Medical<br />

Sciences, Tehran, Iran.<br />

5 Department of <strong>Microbiology</strong>, Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.<br />

Accepted 5 April, 2012<br />

A new nitrifying bacterium has been identified as "Nitrobacteria hamadaniensis", from a potato farm in<br />

Hamadan, Iran. Its morphological and molecular characteristics were examined by electron microscopy,<br />

protein purification, SDS-PAGE and 16S rRNA analysis. It was cultured at the different conditions to<br />

determine the optimum pH and the generation time. The cells are rod shaped, 0.3-0.4×0.8-1.2 μm in<br />

size, and contains polar caps of intracytoplasmic membrane. The strain is lithotrophic and grow slower<br />

than heterotrophic strains. The best growth was observed at mixotrophic conditions. It grew at pH<br />

range between 6.7 to 8.3 with an optimum pH at 7.6. Based on the growth conditions, the generation<br />

time ranged from 7-16 h. The G+C content of this strain was 59 mol%. Also, 16S rRNA gene sequence<br />

analysis indicated that the bacterium represents a hitherto unknown line peripherally associated to the<br />

Caulobacteriaceae with low G+C relatives. The sequence of nearly complete 16S rRNA gene of the<br />

strain is recorded in the GenBank under number AY569007. According to the phylogenetic analysis and<br />

phenotypic criteria, it is proposed that the bacterium should be assigned to a new genus Nitrobacteria.<br />

Key words: Nitrobacter, nitrobacteria, nitrification, genotype, morphovar, biovar.<br />

INTRODUCTION<br />

Nitrifying organisms of the genus Nitrobacter are<br />

polymorphic; which are mostly rods to pear shaped and<br />

possess polar caps of cytomembranes. The major source<br />

of energy and reducing power is from the oxidation of<br />

nitrite to nitrate. Some Nitrobacter strains are able to<br />

growth in heterotrophic conditions with acetate (Smith<br />

and Hoare, 1968), or pyruvate (Bock, 1976) as carbon<br />

source. These organisms are also facultative (Bock et al.,<br />

1988; Freitag et al., 1987). Nitrite-oxidizing bacteria are<br />

ubiquitous in terrestrial and aquatic natural environments<br />

under moderate conditions (Bock and Koops, 1992;<br />

*Corresponding author. E-mail: heidari34@gmail.com. Tel:<br />

+982123872584. Fax: +9821 22171928.<br />

Laanbroek and Woldendorp, 1995; Both et al., 1992).<br />

There are some indications that nitrifying bacteria may<br />

also be present in extreme environments such as acid<br />

soils (De Boer and Laanbroek, 1989; De Boer et al.,<br />

1991; Hakinson and Schmidt, 1988), and acid sulfinic ore<br />

(Bock et al., 1992). These bacteria have been found in<br />

alkaline environments such as saline soda lakes and<br />

soda soil samples in Wadi Natrun, Egypt (Imhoff et al.,<br />

1979). The nitrite oxidoreductase consisted of three<br />

major proteins with apparent molecular weights of<br />

116.000, 65.000 and 32.000 kDa (Sundermeyer-Klinger<br />

et al., 1984). These species of Nitrobacter, that is,<br />

Nitrobacter winogradskyi (Watson et al., 1981;<br />

Winogradsky, 1892; Engel et al., 1954), Nitrobacter<br />

hamburgensis (Bock et al., 1983), Nitrobacter vulgaris<br />

(Bock et al., 1990), and Nitrobacter alkalicus (Sorokin et


al., 1998; Heubuelt 1929) have already been described.<br />

This article describes the cultural and the biochemical<br />

characteristics of a new strain of bacteria and the result<br />

of a phenotypic and phylogenetic analysis based on 16S<br />

rRNA gene sequences.<br />

MATERIALS AND METHODS<br />

Isolation procedures<br />

Isolation<br />

The strain was isolated from soil in a potato field in Hamadan (Lat.<br />

34˚47′46″ N, Long. 48˚30′57″ E), Iran (March 2004, GenBank<br />

accession No. AY569007). Five hundred mg soil was shrilled in a<br />

300 ml flask according to Drews (1968). The cells were grown at<br />

28°C for 2 weeks. Then the cell suspension was inoculated into<br />

agar media (basic mineral medium and 18 g agar-agar added to 1<br />

liter of water) (Merck, Germany). Various types of colonies were<br />

isolated and grown separately on agar plates with nitrite and<br />

mineral salt (Merck, Germany) by multiple subcultures.<br />

Culture conditions<br />

The culture media was prepared as described by Drews (1968)<br />

and Bock et al. (1990). The basic mineral was supplemented with<br />

400 mg sodium acetate, 1500 mg yeast extract (Difco, USA) and<br />

1500 mg peptone (Merck, Germany) in 1 L of water at pH 7.6 (for<br />

aerobic-growth), and nitrate instead of peptone, as an electron<br />

acceptor for anaerobic conditions. Master plates (Stock cultures)<br />

were prepared under mixotrophic conditions.<br />

Batch cultivation<br />

Batch cultures were grown in 50 ml liquid media. Based mineral<br />

medium (Merck, Germany) supplemented with sodium acetate,<br />

yeast extract, and peptone for routine and mixotrophic cultivation<br />

under aerobic conditions was used (Bock et al., 1990; Drews,<br />

1968). For heterotrophic growth (Bock et al., 1990), the medium<br />

was modified as follows: 1000 mg nitrate (Merck, Germany) as an<br />

electron acceptor was added to 1 L of medium under anaerobic<br />

conditions. All experiments were done at pH 6.7, 7.6, and 8.3 and<br />

repeated at least 3 times.<br />

Analytical procedures<br />

Protein purification<br />

The protein was purified from enzyme extracts and measured<br />

exactly as previously described by Bradford (1976), Spector (1978),<br />

Davie (1982) and Laemmli (1970). Membranes and nitrite<br />

oxidoreductase were isolated and purified according to<br />

Sundermeyer-Klinger et al. (1984).<br />

Gel electrophoresis<br />

SDS-PAGE (Merck, Germany) was performed as described by<br />

Milde and Bock (1984) and Sundermeyer-Klinger et al. (1984). The<br />

cytochrome spectra of cell-free extract of the new strain (104) was<br />

determined as previously explained by Sorokin et al. (1998). A<br />

Zare et al. 5127<br />

diode-array spectrophotometer (Hewlett Packard, USA) was used<br />

for the investigation. Proteins were identified from polyacrylamide<br />

gels by the method of Francis and Becker (1984).<br />

DNA and 16S rRNA analysis<br />

For isolation of DNA, 2 g of wet weight cells were suspended in 5<br />

ml TE buffer (50 mmol Tris, 20 mmol EDTA, pH 8.0) (Merck,<br />

Germany). Cell lysates were prepared as described by Kraft and<br />

Bock (1984). Total DNA was isolated and purified according to<br />

Marmur (1961). The G+C content was calculated from the<br />

denaturizing rate according to De Ley (1970).<br />

PCR amplification for the nearly complete 16S rRNA gene and<br />

sequencing were done as described by Brinkhoff and Muyzer<br />

(1997) and Muyzer et al. (1995). Sequences were compared using<br />

ARB software (Ludwig et al., 2004). The 16S rRNA gene<br />

sequences of the isolates were automatically aligned to sequences<br />

stored in the ARB database.<br />

Electron microscopy<br />

Cells cultured under mixotrophic conditions were concentrated 100fold,<br />

and methods for fixation, embedding, and ultra-thin sections<br />

were those described by Bock and Heinrich (1969). Sections were<br />

stained with uranyl acetate and lead citrate (Electron Microscopy<br />

Sciences, USA). Electron micrographs were taken with a<br />

transmission electron microscope (Carl Zeiss EM-900; Zeiss,<br />

Germany) at 80 kV accelerating voltage. Negatives were scanned<br />

at 1200 dpi resolution, by CanoScan 8800F (Canon, Japan), and<br />

pictures were processed using Adobe ® Photoshop ® software (CS4<br />

Extended, Middle East Version 11.0).<br />

Phylogenic analysis<br />

In order to establish the precise taxonomic position of unknown<br />

bacterium, the entire 16S rRNA sequences of the strain (104) was<br />

determined.<br />

RESULTS<br />

G+C analysis<br />

The G+C content of the new strain 104 DNA was 59%.<br />

This value is different from Nitrobacter winogradskyi (61.7<br />

mol%), Nitrobacter hamburgensis (61.2-61.6 mol%),<br />

Nitrobacter vulgaris (58.9-59.9 mol%) and Nitrobacter<br />

alkalicus (61.5-62.4 mol%) (Bock et al., 1990; Sorokin et<br />

al., 1998).<br />

The derived 16S rRNA consisted of 1421 nucleotides.<br />

The determined sequences were compared with those of<br />

other 16S rRNA sequences available in the GenBank.<br />

Nitrobacteria hamadaniensis (strain 104) with 95.9%<br />

genetic homology with Caulobacter, and 96.3% with<br />

Brevundimonas (Table 1). It has 86-87.4% genetic<br />

homology to the genus Nitrobacter, which are classified<br />

as one of the main classes of Caulobacteriaceae. A<br />

phylogenic tree, depicting the relationship of unknown<br />

bacterium with Caulobacteriaceae and close relatives,are<br />

shown in Figure 1, and the sequence similarities are


5128 Afr. J. Microbiol. Res.<br />

Table 1. Similarity matrix of 16S rRNA sequences.<br />

1 2 3 4 5 6 7 8 9 10 11 12 13<br />

Afipia clevenlandensis<br />

Afipia felis 98.6<br />

Blastobacter denifricans 96.5 96.5<br />

Bradyrhizobium japonicum 97.9 97.3 98.2<br />

Rhodopseudomonas palustris 96.9 96 97.3 98.3<br />

Nitrobacter winogradskyi ATTCC 25381 97.4 96.9 97.1 98.2 97.1<br />

Nitrobacter winogradskyi ATTCC 14123 97 96.7 96.5 97.9 96.9 98.7<br />

Nitrobacter sp. strain R6 96.8 96.4 96.7 97.7 96.7 98.8 99.3<br />

Nitrobacter hamburgensis strain x 14 96.6 96.3 96.8 97.7 97.5 98 98 98<br />

Nitrobacter hamburgensis strain nb 14 96.9 96.5 96.9 97.9 97.2 98.4 98.3 98.4 99.5<br />

Nitrobacter alkalicus strain AN1 97.3 96.9 97.2 98.3 97.2 99.1 99.2 99.2 98.4 98.6<br />

Nitrobacter alkalicus strain AN2 97.4 97.5 97.1 98.3 97.2 99 99.1 99.1 98.3 98.6 99.9<br />

Nitrobacteria hamadaniensis strain 104 86.3 85.3 86 86.3 86.6 86.2 87.1 86.7 86.1 86.7 87.4 87.5<br />

Brevundimonas diminuta 87.7 87.1 87.8 87.8 87.8 87.7 87.1 87.6 88 87.6 87.8 87.7 96.3<br />

Figure 1. A phylogenetic tree derived from 16S rRNA gene sequences, the tree was created by using the neighbor-joining method and Knuc<br />

values, showing the phylogenetic interrelationships between Nitrobacteria hamadaniensis and other close relatives. The bootstrap values are<br />

indicated.


Table 2. Influence of organic compounds on growth of the nitrite-oxidizing strain 104 under<br />

anaerobic conditions at different pH values in batch culture a .<br />

Growth condition Strain 104 growth Amounts of NO2 concentration (mmol)<br />

pH 8.3 Weak 0.15<br />

pH 7.6 Weak 0.16<br />

pH 6.7 Weak 0.1<br />

a Specific activity of the strain 104 was weak in heterotrophic condition at different pH values.<br />

indicated in Table 1. The comparisons help distinguish<br />

the new bacterium located at the periphery of the<br />

Caulobacteriaceae.<br />

Protein analysis<br />

The protein analysis of cell free extracts of the strain<br />

(104) grown at pH 7.6, indicated α-bands (437 and 589<br />

nm in size), presenting nitrite cytochrome spectra<br />

comparable to those of other Nitrobacter species. This<br />

strongly suggests that the new strain belongs to the<br />

Nitrobacteria genus. In addition to α-bands, cytochrome c<br />

550 and cytochrome c oxidase type α3 (maximum 550<br />

nm up to 607 nm) were other prominent features of the<br />

strain, respectively.<br />

Physiological characteristics<br />

Nitrobacteria hamadaniensis grew optimally at 26-28°C<br />

and pH 7.6. Colonies on agar plates formed within 3, 4<br />

and 12 d under mixotrophic, heterotrophic, and<br />

lithotrophic conditions. Colonies on mineral salt agar<br />

plates sized 0.1 mm in diameter, were orange, circular,<br />

and swelled. Optimum growth rates were obtained in<br />

mixotrophic medium containing nitrite, sodium acetate,<br />

yeast extract and peptone.<br />

Strain 104 was able to grow under nitrite-oxidizing<br />

lithoautotrophic, mixotrophic and heterotrophic conditions<br />

at pH 6.7 to 8.3. The stoichiometry analysis, conversion<br />

of nitrite to nitrate in batch culture was 96.3-99.1% and<br />

nitrate to nitrite, under anaerobic condition was 1-1.6%<br />

(Table 2). The organisms grew on mineral medium<br />

supplemented with organic compounds such as sodium<br />

acetate, yeast extract and peptone as sources of energy<br />

and carbon. Batch cultivation at different pH values<br />

clearly demonstrated that the nitrite-oxidizing strain (104)<br />

isolated from soil belonged to facultative neutrophilic<br />

species. It could grow within a pH range of 6.7 to 8.3<br />

(Figure 4). The growth rate at pH below and above 7.6,<br />

was extremely slow. During growth at pH above 7, cells<br />

started to branch. Their optimum growth was close to<br />

their upper pH limit (around 7.6). The main difference of<br />

the strain 104 from all four known species of the genus<br />

Zare et al. 5129<br />

Nitrobacter (Nitrobacter winogradskyi, Nitrobacter<br />

hamburgensis, Nitrobacter vulgaris and Nitrobacter<br />

alkalicus) was the rapid growth on culture medium used<br />

for cultivation of strain (104) with a starting pH 7.6 and a<br />

nitrite concentration of about 1 g. Strain 104 was able to<br />

grow in nitrite limited culture media within a broad pH<br />

range from 6.7 to 8.3 with an optimum pH 7.6 (Figure 4).<br />

The doubling times of autotrophically and mixotrophically<br />

grown Nitrobacteria strain 104 was 16 and 7 h at pH 7.6,<br />

respectively. This was higher than the rate described for<br />

neutrophilic species grown lithoautotrophicaly with nitrite<br />

(Bock and Koops, 1992; Keen and Prosser, 1987). Our<br />

study shows that organic compounds had an influence on<br />

the growth of nitrite-oxidizing strain 104 from soil, at pH<br />

6.7 to 8.3, during 5 d incubation. There were no<br />

significant differences between the bacteria activity in<br />

heterotrophic with 1000 mgP/L nitrate under anaerobic<br />

conditions at different pH values in batch culture (Table<br />

2).<br />

The pH profile in the kinetics of oxidation in batch<br />

culture was significantly different for the cells grown at<br />

different pH values. The profile for the rate of nitrite<br />

oxidation (Figure 4) measured with cells grown at pH 6.7<br />

was similar to that measured for Nitrobacter species<br />

(Hunik et al., 1993). The curve had its maximum at pH<br />

7.6 and decreased at a pH higher than 8. The nitriteoxidizing<br />

activity measured with cells grown at pH 7.6,<br />

6.7, and 8.3 that was maximal at pH 7.6, respectively,<br />

and incubation time was 192 h.<br />

SDS-PAGE analysis<br />

The results of SDS-PAGE of cell-free extracts, based on<br />

phenotypic criteria, showed that Nitrobacteria<br />

hamadaniensis is composed of 4 bands, 2 strong and<br />

prominent bands of ~116 kDa, one 67 kDa, and a 14 kDa<br />

band, respectively (Figure 3).<br />

DISCUSSION<br />

A new species of bacteria was identified, that was<br />

different from Nitrobacter winogradskyi (Bock 1976),<br />

Nitrobacter hamburgensis (Bock et al., 1983), and Nitro-


5130 Afr. J. Microbiol. Res.<br />

a b<br />

Figure 2. Electron photograph of Nitrobacteria hamadaniensis ultrasturcture. Thin section from<br />

grown cell mixotrophically and harvested during exponential phase of growth, showing lamellar<br />

membrane system, poly-β-hydroxybutyrate (PHB), and polyphosphate granules (X: 50,000).<br />

PHB = Poly-β-hydroxybutyrate. PP = Polyphosphate granules. CM = Cytoplasmic membrane.<br />

Figure 3. SDS-PAGE (12.5% acryl amide) of<br />

cell free extract from Nitrobacteria<br />

hamadaniensis protein stained with<br />

comassie blue R- 250.<br />

bacter vulgaris (Bock et al., 1990). The new bacteria<br />

grew at all the different culture conditions, as reported by<br />

Steinmueller and Bock (1977), and the growth rates in<br />

mixotrophic media could be used for taxonomic<br />

purposes. Our observations showed that this new<br />

organism, like Nitrobacter vulgaris (Bock et al., 1990)<br />

grows by dissimilation and reduces nitrate where nitrate<br />

is present as an alternative electron acceptor. The cells<br />

of Nitrobacteria hamadaniensis had a similar shape, size,<br />

and ultrastructure. This is further evidence to prove the<br />

existence of the new Nitrobacteria species. The new<br />

isolate is different from most of the other Gram negative<br />

bacteria. They are short rod cells, pear shaped, 0.3-<br />

0.4×0.8-1.2 μm in size, and motile. They tend to form<br />

flocks (Figure 2) and/or biofilms on the glass surface of<br />

culture flasks. Cell division normally occurres by budding.<br />

The cytoplasmic membrane protrudes into the<br />

cytoplasm, forming a polar cap of interacytoplasmic<br />

membranes. Carboxysomes were found in the strains<br />

grown under chemolithotrophic conditions, but this was<br />

not observed under mixotrophic conditions. The other<br />

typical inclusion bodies were poly-β-hydroxybutyrate and<br />

polyphosphate granules. These results correspond to the<br />

other four strains, Nitrobacter winogradskyi,<br />

(Winogradsky, 1892), Nitrobacter hamburgensis (Bock et<br />

al., 1983), Nitrobacter vulgaris (Bock et al., 1990), and<br />

Nitrobacter alkalicus (Sorokin et al., 1998). However, in<br />

the new strain the upper band was clearly separated.<br />

The phenotypic criteria are similar to the recent findings<br />

obtained by Samelis et al. (1995). This suggests that<br />

each species yields a specific protein profile identical to<br />

the respective type strain. Bock et al. (1990) reported that<br />

there are significant differences between protein profiles<br />

of Nitrobacter winogradskyi, Nitrobacter hamburgensis,<br />

Nitrobacter vulgaris and Nitrobacter alkalicus.<br />

In conclusion, the new nitrite-oxidizing bacteria strain<br />

104 isolated from soil differs from previously described<br />

species by their potential to grow and oxidize nitrite at pH<br />

7.6. The batch continuous cultivation showed their<br />

remarkable ability to adapt to abroad range of pH values.<br />

Our data shows that the analysis of the whole cell<br />

protein was a quick and effective method to distinguish<br />

any bacteria among Nitrobacteria hamadaniensis.<br />

Species description<br />

Description of Nitrobacteria hamadaniensis sp. nov.<br />

nitro bacteria. npl (NL. fr. Nitr- + bacteria): the soil<br />

bacteria concerned in nitrification. Nitrobacteria


NO2<br />

NO2<br />

Zare et al. 5131<br />

Figure 4. A-B. Influence of pH and culture condition on dynamic of nitrite oxidation of Nitrobacteria hamadaniensis strain 104 in<br />

Batch culture and influence of pH on oxidation activity of washed cells grown in Batch culture at pH 6.7-8.3. The culture started to<br />

wash out at D = 0.008 h -1 . A. Lithoautotrophic condition. B. Mixotrophic condition. C-D. Influence of pH on the growth of<br />

Nitrobacteria hamadaniensis strain 104 in Batch culture with 14.5 mmol nitrite at pH 6.7, 7.6 and 8.3 (Culture wash out at D = 0.008<br />

h -1 ). C. Nitrite oxidizing activity of cell cultivated at lithoautotrophic with nitrite. D. Nitrite oxidizing activity of cell cultivated at<br />

mixotrophic condition.<br />

hamadaniensis = hamadani, ensis. Hamadan Iranian<br />

place name; M.L. adj. hamadaniensis of Hamadan. The<br />

cells are Gram negative, short rods to pear shaped with a<br />

size of 0.3-0.4×0.8-1.2 μm. Each cell contains several<br />

carboxysomes and posses a polar cap of<br />

cytomembranes to form flattened vesicles. Cells produce<br />

extracellular polymers at all growth conditions causing<br />

the formation of a biofilm. Facultative lithoautotrophs<br />

oxidize nitrite to nitrate under aerobic conditions and<br />

reduce nitrate to nitrite under anaerobic conditions. Cells<br />

grow chemolithotrophically, heterotrophically, or<br />

mixotrophically. The growth rate in chemo-organic<br />

medium is more rapid than in chemolithotrophic medium.<br />

The surfaces of colonies on mineral salt agar plates are<br />

0.1 mm in diameter after 12 d at 28°C and pH values<br />

between 7.6-7.8. They have two prominent proteins of<br />

116 and 67 kDa, and a 14 kDa protein which appears as<br />

a faint band. The G+C content of DNA is 59 mol% and<br />

the sequence of nearly complete 16S rRNA gene of<br />

strain 104 is stored in the GenBank database and Japan<br />

collection of microorganisms under accession numbers,<br />

AY569007(http://www.ncbi.nlm.nih.gov/Genbank/index.ht


5132 Afr. J. Microbiol. Res.<br />

ml), and JCM 14789 (http://jcm.riken.go.jp/JCM/<br />

catalogue.shtml), respectively. Nitrobacteria<br />

hamadaniensis is deposited in Persian type culture<br />

collection under the number, PTCC 1681<br />

(http://www.irost.org/en/ptcc/index.asp?code=1#).<br />

ACKNOWLEDGEMENTS<br />

We thank M. Piriai and F. Niazi (Department of Anatomy,<br />

Faculty of Medicine, Shahid Beheshti University of<br />

Medical Sciences) for their excellent technical assistance.<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5134-5137, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1209<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Antibacterial activities of nicotine and its zinc complex<br />

Muhammad Idrees Zaidi 1 , Feroza Hamid Wattoo 2 *, Muhammad Hamid Sarwar Wattoo 3 ,<br />

Syed Ahmed Tirmizi 3 and Saad Salman 4<br />

1 Department of Chemistry, Islamia College University, Peshawar, Pakistan.<br />

2 Department of Biochemistry, PMAS-Arid Agriculture University, Rawalpindi, Pakistan.<br />

3 Department of Chemistry, Quaid-i-Azam University, Islamabad, Pakistan.<br />

4 Department of Pharmacy, University of Peshawar, Peshawar, Pakistan.<br />

Accepted 9 January, 2012<br />

Nicotine, isolated from leaves of Nicotiana tabacum was complexed with zinc and studied for their<br />

antibacterial activities against ten different strains of Gram positive and Gram negative bacteria. Results<br />

showed that zinc (II) complex of nicotine is more active against different types of bacterial strains as<br />

compared to zinc metal salt used for complexation and nicotine alone.<br />

Key words: Antibacterial activities, Nicotiana tabacum, nicotine, zinc (II) complex.<br />

INTRODUCTION<br />

Isolation and extraction of medicinal compounds from plant<br />

sources and their characterization have been a common<br />

practice since the recent past (Munir et al., 1994; Chohan<br />

et al., 2002). Many of these natural products have been<br />

reported without their biological properties. In some cases,<br />

their effective biological properties have been remained<br />

unknown for the long years. Natural products like<br />

Vinblastine and Vincristine were isolated in 1954 but their<br />

antitumor activities were discovered in 1980 (Johnson,<br />

1994). The discovery of new natural products without<br />

accompanying biological data is not just more than pure<br />

phytochemistry. There is, no doubt, a real need of reliable,<br />

bioassays in general which can detect a broad spectrum of<br />

pharmacological activities in plants and metal complexes of<br />

their isolated components in particular (Munir et al., 1995).<br />

Nicotine, 3-(1-methyl-2-pyrrolidinyl) pyridine is a colourless,<br />

light pale yellow, hygroscopic oily liquid present in<br />

the leaves of Nicotiana tabacum (Figure 1). It is one of<br />

the highly toxic chemicals belonging to the tobacco<br />

alkaloids (Al-Tamrah, 1999). Since nicotine is the<br />

predominant component of cigarette smoking, this natural<br />

agent is thought to be responsible for the cigarettes’<br />

*Corresponding author. E-mail: drfhwattoo@gmail.com.<br />

benefits to Alzheimer’s disease (Shen et al., 2007).<br />

Nicotine and zinc are closely related to a variety of<br />

brain pathologies, including schizophrenia, anxiety, major<br />

depression, Parkinson’s and Alzheimer’s diseases<br />

(Mocchegiani et al., 2005; Gotti et al., 2006; Levin et al.,<br />

2006; Takeda et al., 2007). It is widely accepted that<br />

metal chelators and antioxidants hold great potential to<br />

ameliorate these diseases (Shen et al., 2007). Nicotine,<br />

extracted from N. tabacum, is an important bioligand and<br />

has good chelating sites for coordination with numerous<br />

metals. From the literature concerning the complexes of<br />

Zn (II) with various nicotine derivatives, compounds with<br />

different compositions were synthesized and investigated<br />

(Ide et al., 2002; Bayari et al., 2003; Pasaoglu et al.,<br />

2006). They were mostly obtained as anhydrous<br />

compounds and for their preparation the Zn (II) chloride<br />

or iodide, as substrates, were used. The zinc (II) ion in<br />

these complexes is coordinated by two chloride or iodide<br />

ions and two pyridine ring N atoms (Ide et al., 2002;<br />

Bayari et al., 2003; Pasaoglu et al., 2006; Dziewulska-<br />

Kuaczkowska et al., 2009). But pure Zn (II) - nicotine<br />

complex without chloride ion bridging has not been<br />

reported so far.<br />

Antimicrobial activities of plant ingredients and their metal<br />

complexes can be detected by observing the growth<br />

response of various micro-organisms placed in contact with


Table 1. Composition of Mueller-Hinton medium.<br />

Materials Ingredients (g/L)<br />

Beef, Infusion 300.0<br />

Casamino acids 17.5<br />

Starch 1.5<br />

Bacto Agar 17.0<br />

Final pH at 25°C 7.3±0.1<br />

H 3C<br />

N N<br />

3-(1-methylpyrrolidin-2-yl)pyridine<br />

Figure 1. Nicotine, 3-(1-methyl-2-pyrrolidinyl) pyridine,<br />

extracted from leaves of N. tabacum.<br />

them. Most of the methods for detecting such activities are<br />

based on the same principle and are not equally sensitive.<br />

The obtained results are profoundly influenced by the<br />

selected method and by the microorganisms being used for<br />

the required tests. It is clear that biological evaluation in<br />

general can be carried out much more efficiently on water<br />

soluble, nice crystalline compounds/complexes then on<br />

mixtures like plant extracts (Zaidi and Gul, 2005). However,<br />

to the best of authors knowledge, the antimicrobial<br />

activities of zinc (II) nicotine complexes have not been<br />

reported so far.<br />

In our previous study, nicotine was isolated from the<br />

seeds of N. tabacum and its Zinc (II) complex was<br />

synthesized (Munir et al., 1994) and now in the present<br />

study, tested these materials for their anti-bacterial<br />

sensitivity against ten different micro-organisms.<br />

MATERIALS AND METHODS<br />

Anti-bacterial activity<br />

The anti-microbial sensitivity tests of the title compounds were tested<br />

against ten different species of gram positive and gram negative<br />

bacteria including Aeromonas sabriae, Salmonella typhii, Shigella<br />

boydii, Escherichia coli, Vibrio chlolerae, Pseudomonas pseudomallis,<br />

Pseudomonas aeroginosa, Bacillus subtilis, Staphylococcus aureus,<br />

and Streptococcus faecalis. The compounds were used in two<br />

concentrations that is, 100 µg/100 µl (first dose level) and 200 µg/100<br />

µl, the second dose level.<br />

The anti-bacterial activities of nicotine and its zinc complex were<br />

Zaidi. 5135<br />

determined by ‘Agar Well diffusion Method’ proposed by Akhtar et al.<br />

(1987). According to this method, the weighed components of the<br />

dehydrated medium were dissolved in distilled water and made the<br />

volume to one litre. Solution was heated till boiling for complete<br />

dissolution of the components. The medium was autoclaved at the<br />

pressure of 15 Ibs/in 2 for 15 min while keeping the temperature of<br />

121°C. The autoclaved medium was then poured in the sterile Petri<br />

plates and was allowed to solidify in the clean environment. Then<br />

these plates were incubated at 37°C for 24 h to check their sterility.<br />

Preparation of stock solutions<br />

Stock solutions of all the test samples in the concentration of 1 mg/ml<br />

were prepared in dimethylsulphoxide and then diluted to 100 µg and<br />

200 µg/ml with the same solvent.<br />

Measurement of antibacterial activity<br />

One loop, full of 24 h old bacterial culture containing approximately<br />

104 to 106 CFU, was spread on the surface of Mueller-Hinton agar<br />

plates. The composition of Mueller-Hinton agar medium is given in<br />

Table 1. Wells were dug in the medium with the help of sterile metallic<br />

borer. The marked area was filled with diluted solutions of the test<br />

samples, metal salts and solvent dimethylsulphoxide. These plates<br />

were incubated at 37°C for 24 h. At the end of the incubation period,<br />

the inhibition zones were measured to the nearest millimeters. Antibacterial<br />

activity was indicated by a clear zone encircling the marked<br />

area. Beyond the marked area, there was a homogenous confluent<br />

lawn of bacterial growth.<br />

Comparison with standard antibiotics<br />

The anti-bacterial activity of nicotine and its complex was compared<br />

with three standard antibiotics, namely, Gentamicin, Tetracycline and<br />

Tobramycin. This was done by agar disc diffusion method (Zaidi and<br />

Gul, 2005). In this method, the oxoid multidisc was used in the study.<br />

The trypticase soy agar was seeded with over-night culture of the test<br />

organisms. An excess of inoculums was removed. The multodisc was<br />

aseptically placed over the agar and incubated at 37°C for 24 h. The<br />

zone of inhibition was measured to the nearest millimeter.<br />

RESULTS AND DISCUSSIONS<br />

Nicotine anion is useful moieties in forming an extended<br />

structure because of its unsymmetrical divergent ligand<br />

properties with a nitrogen atom. Structure of synthesized<br />

zinc (II) – nicotine complex is given in Figure 2. Here only<br />

antimicrobial properties are discussed with reference to<br />

the standard antibiotics used.<br />

The anti-microbial sensitivity tests of the presently studied<br />

compounds were carried out against the Gram negative<br />

and Gram positive organisms. The compounds were used<br />

in two concentrations that is, 100 µg/100 µl and 200 µg/100<br />

µl, (first dose level and the second dose level). Results of<br />

antibacterial activities of zinc (II) chloride, nicotine and<br />

the zinc (II) - nicotine complex for the concentrations of<br />

first and second dose level are given in Table 2.<br />

These results indicate that nicotine is inactive at first


5136 Afr. J. Microbiol. Res.<br />

Figure 2. Structure of Zinc(II)–Nicotine complex.<br />

Table 2. Antibacterial activities of standard antibiotics, zinc(II) chloride, nicotine and the zinc(II)-nicotine complex at concentration of first and second dose levels<br />

Compound used<br />

Gentamicin<br />

Tetracycline<br />

Tobramycin<br />

Zinc (II) chloride<br />

Nicotine<br />

Zinc(II)– Nicotine<br />

complex<br />

Conc.<br />

(µg/100<br />

µg)<br />

Gram Negative Organism Gram Positive Organism<br />

A. sabriae S. typhii S. boydii E. coli V. chlolerae P. pseudomallis P. aeroginosa B. subtilis S. aureus S. faecalis<br />

Zone of Inhibition (mm)<br />

100 20 25 25 40 35 35 36 _ 31 _<br />

200 40 42 39 85 80 85 71 _ 40 _<br />

100 _ _ 15 10 51 _ _ 45 _ _<br />

200 _ _ 35 27 90 _ _ 67 _ _<br />

100 25 27 31 35 31 34 31 30 30 32<br />

200 51 60 61 55 50 85 90 65 69 71<br />

100 8 – – 8 6 6 8 – 8 6<br />

200 10 6 6 10 8 8 10 6 9 8<br />

100 – – – – – – – – – –<br />

200 – – – 14 – – 14 – – 14<br />

100 14 – 14 17 – 16 – – 15 –<br />

200 17 – 18 18 17 18 14 17 16 –


dose level, and is effective antibiotic at the second dose<br />

level against E. coli and P. aeroginosa (Gram negative<br />

organism) and S. faecalis (Gram positive organism) with an<br />

inhibition zone of 14 mm. Photos of all inhibition zone are<br />

not shown here.<br />

Zinc-nicotine complex inhibited only five bacterial species<br />

at first concentration, however at second dose level; it<br />

inhibited the growth of eight test bacterial species. In the<br />

case of zinc (II) chloride, the zone of inhibition ranged 6 to<br />

18 mm at first dose level and 7 to 20 mm at second dose<br />

level.<br />

Compared to nicotine alone; the zinc (II) complex of<br />

nicotine is able to inhibit almost all the studied gram positive<br />

and gram negative organisms at the higher dose level.<br />

These results are also well comparable with the three<br />

reference antibiotics that is, Gentamicin, Tetracycline and<br />

Tobramycin. Therefore, we comment that this complex is<br />

broad spectrum anti-microbial agent active against the<br />

variety of gram positive and gram negative bacterial<br />

species.<br />

Further research is underway on the antibacterial<br />

mechanism of this zinc-nicotine complex that either this is<br />

cell wall inhibitors or bactericidal or bacteriostatic.<br />

However, some researchers (Munir et al., 1994, 1995;<br />

Chohan et al., 2002) studied considerable changes in the<br />

bacterial cell membranes upon metal ion treatment,<br />

which might be one of the cause or consequence of cell<br />

death.<br />

Conclusion<br />

Zinc is relatively abundant element in biological<br />

organisms, plays an essential role in the large number of<br />

enzymatic reactions. Having the broad spectrum antimicrobial<br />

activities, zinc and its nicotine compounds may<br />

be used as a therapeutic agent and anti-sickness agent<br />

playing a role in the prevention of pain crisis in sickle-cell<br />

disease and in the treatment of various sicknesses.<br />

ACKNOWLEDGEMENTS<br />

Authors are thankful to the higher education commission,<br />

HEC, formerly named as university grant commission,<br />

UGC, for providing some financial support to this project.<br />

H.E.J. <strong>Research</strong> Institute of Chemistry, Karachi,<br />

Pakistan, is acknowledged for providing necessary<br />

instrumental facilities.<br />

REFERENCES<br />

Zaidi. 5137<br />

Akhtar N, Malik A, Ali SN, Kazmi SU (1987). Proceragenin, an<br />

antibacterial cardenolide from Calotropic Procera. Phyto. Chem., 31:<br />

2821-2824.<br />

Al-Tamrah SA (1999). Spectrophotometric determination of nicotine.<br />

Analytica Chimica Acta, 379: 75–80.<br />

Bayari S, Atac A, Yurdakul S (2003). Coordination behaviour of<br />

nicotinamide: an infrared spectroscopic study. J. Mol. Struct., 655:<br />

163–170.<br />

Chohan ZH, Rauf A, Noreen S, Scozzafava A, Supuran CT (2002).<br />

Antibacterial cobalt(II), nickel(II) and zinc(II) complexes of nicotinic<br />

acid-derived Schiff-bases. J. Enzyme Inhib. Med. Chem., 17: 101–<br />

106.<br />

Dziewulska-Kuaczkowska A, Mazur L, Ferenc W (2009).Thermal,<br />

spectroscopic and structural studies of zinc(II) complex with<br />

nicotinamide. J. Therm. Anal. Calorim., 96: 255–260.<br />

Gotti C, Zoli M, Clementi F (2006). Brain nicotinic acetylcholine<br />

receptors: native subtypes and their relevance. Trends Pharmacol.<br />

Sci., 27: 482–491.<br />

Ide S, Atac A, Yurdakul S (2002). Spectroscopic and structural studies<br />

on dichlorobis(nicotinamide)zinc(II). J. Mol. Struct., 605: 103–107.<br />

Johnson I (1994).The vinca alkaloids: A new class of oncolytic agents.<br />

Cancer Res., 12: 43–45.<br />

Levin ED, McClernon FJ, Rezvani AH (2006). Nicotinic effects on<br />

cognitive function: behavioral characterization, pharmacological<br />

specification, and anatomic localization. Psychopharmacology (Berl.),<br />

184: 523–539.<br />

Mocchegiani E, Bertoni-Freddari C, Marcellini F, Malavolta M (2005).<br />

Brain, aging and neurodegeneration: role of zinc ion availability. Prog.<br />

Neurobiol., 75: 367–390.<br />

Munir C, Zaidi MI, Ahmad N, Rehman AR (1995). An easy rapid metal<br />

mediated method of isolation of harmine and harmaline from<br />

Peganum harmala. Fitoterapia, 66: 73–76.<br />

Munir C, Zaidi MI, Yousaf SM (1994). Zinc, cadmium and mercury as<br />

extractants of nicotine from tobacco leaves. Main Group Metal<br />

Chem., 17: 673–677.<br />

Pasaoglu H, Guven S, Heren Z, Buyukgungor O (2006). Synthesis,<br />

spectroscopic and structural investigation of ZnI2(nicotinamide)2,<br />

ZnI2(isonicotinamide)2 and [Zn(H2O)2(picolinamide)2]I2. J. Mol. Struct.,<br />

794: 270–276.<br />

Shen L, Zhang H, Ji HF (2007). Computational note on the SOD-like<br />

antioxidant potential of nicotine–copper(II) complexes. J. Mole.<br />

Struct., Theochem., 817: 161–162.<br />

Takeda A, Tamano H, Kan F, Itoh H, Oku N (2007). Anxiety-like<br />

behavior of young rats after 2-week zinc deprivation. Behav. Brain<br />

Res., 177: 1–6.<br />

Zaidi MI, Gul A (2005). Antibacterial activity of nicotine and its copper<br />

complex. J. Sc. Tech. Univ. Peshawar, 29: 45–49.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5138-5141, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1222<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Comparison of the Cepheid Xpert FluA/H1N1 screening<br />

test with real time polymerase chain reaction (PCR) in<br />

detection of 2009 H1N1 Influenza A Pandemic<br />

S. M. Al Johani* and J. Akhter<br />

Division of <strong>Microbiology</strong>, Department of Pathology and Laboratory Medicine, King Abdulaziz Medical City, Riyadh<br />

11426, Saudi Arabia.<br />

Accepted 25 April, 2012<br />

Although infections with the novel pandemic 2009 influenza A (H1N1) virus (A/H1N1/2009) appear to be<br />

relatively mild during the summer months of circulation ('off season'), there has been significant<br />

morbidity and hospitalization and several fatal cases. Thus, rapid detection of A/H1N1/2009 is crucial. In<br />

contrast to seasonal influenza, where point-of-care (POC) rapid antigen tests and direct fluorescent<br />

antibody (DFA) staining ensure rapid detection, diagnosis of A/H1N1/2009 has so far been based mainly<br />

on RT-PCR due to lack of sensitivity of the other non-molecular methods. This study is aimed to<br />

evaluate the Xpert FluA/H1N1 test (Cepheid®), rapid molecular test for influenza A virus including<br />

A/H1N1/2009 for the detection of the recently emerged swine influenza A (H1N1) and compare it with<br />

RT-PCR. A total of 386 respiratory samples were tested in parallel using Cepheid Xpert FluA and<br />

compared with RT-PCR. We determined the analytical performance characteristics (sensitivity,<br />

specificity) of the xpert test using RT-PCR as the gold standard. RESULTS: Xpert Flu A Panel detected<br />

A(H1N1) seasonal and 2009 pandemic, A(H3N2), A(H5N2), A(H5N1) and A(H7N7) viruses and correctly<br />

subtyped A(H1N1) 2009 virus. Of 386 samples, 53 samples were positive by the two methods, RT-PCR<br />

detected 2 samples that were negative by Xpert Flu. Analytical sensitivity was comparable to RT-PCR.<br />

The Xpert Flu A Panel is the first commercially available rapid molecular test for detection of influenza<br />

A and B viruses and at the same time, it can determine H1 2009 subtype. The test has comparable<br />

sensitivity compared with RT-PCR and high specificity. Therefore, it represents a useful rapid test for<br />

molecular detection of Flu A and B viruses and can also rule out H1N1.<br />

Key words: Xpert fluA, 2009 H1N1, rapid Influenza diagnostics.<br />

INTRODUCTION<br />

In April 2009, a novel influenza A (H1N1) virus was<br />

detected in the US, which developed in to pandemic<br />

proportions. Pandemic H1N1 2009 (pdmH1) has a broad<br />

clinical spectrum. Although, many cases are mild, its<br />

pathogenesis is not necessarily low as it often causes<br />

serious respiratory disorder in children, and thus early<br />

treatment is necessary.<br />

The Pandemic once declared there were major moves<br />

*Corresponding author. E-mail: johanis@ngha.med.sa. Tel:<br />

+9661 2520088 ext. 12817. Fax: +966-1-2520130 or 11264<br />

to find a rapid, easy, highly sensitive and specific<br />

diagnostic method. A novel real-time RT-PCR for<br />

(A/H1N1/2009) was set up in a very short time and<br />

validated following industry-standard criteria (Panning et<br />

al., 2009; Novel Swine-Origin Influenza A (H1N1) Virus<br />

Investigation Team, 2009).<br />

As for the infectiousness, based on higher household<br />

transmission from parents to children in comparison to<br />

seasonal influenza A (FluA), as well as a high prevalence<br />

among primary school children, pandemic H1N1 appears<br />

more likely to affect children, especially school children.<br />

In addition, since pandemic H1N1 has a long incubation<br />

period, which can facilitate latent viral transmission,


wearing a mask is useful during the epidemic period. A<br />

judgment of recovery should be carefully made especially<br />

in children, because the virus remains for a long time<br />

even after resolution of fever.<br />

Direct antigen detection (DFA), typing, and/or subtyping<br />

of influenza can be rapidly carried out by several<br />

methods, such as nucleic acid techniques,<br />

immunofluorescence assay, or enzyme-linked<br />

immunosorbent assay. Benefits of DFA include<br />

identification of good quality specimens based on the<br />

presence of epithelial cells, and the ability to test<br />

individual specimens without batching, thus improving the<br />

turn-around time compared with most PCR-based assays<br />

for low numbers of samples. In contrast to RT-PCRbased<br />

methodologies, DFA suffers from a lack of<br />

sensitivity and issues of false-positives have been<br />

identified especially during times of low prevalence or<br />

due to misreading of slides because of the subjective<br />

nature of the test. Culture-based methods have been<br />

traditionally used for the detection and characterization of<br />

influenza; however, they have a lower sensitivity<br />

compared with most molecular tests for the detection of<br />

influenza. Tissue culture methods utilize shell vial (for<br />

example, mixed monolayers of human adenocarcinoma<br />

cells and mink lung cells on a glass slide) or traditional<br />

tube or flask culture techniques (for example, rhesus<br />

monkey kidney cells or Madine Darby canine kidney<br />

cells) to support the growth of influenza. Key limitations<br />

are based on the fact that, tissue culture requires special<br />

skills for identification of cytopathic effect, which is labor<br />

intensive, and uses paired immunofluorescent<br />

methodologies to identify the virus. Emerging strains of<br />

influenza that are more pathogenic may require highly<br />

controlled environments. By contrast, PCR-based<br />

methods often involve the use of lysis buffer for viral<br />

inactivation and release of nucleic acid, thus making it<br />

feasible for laboratories with Biosafety Level 2<br />

capabilities to handle these viruses (Pabbaraju et al.,<br />

2011).<br />

Rapid diagnosis of influenza can facilitate timely clinical<br />

management decisions and applications of infection<br />

control precautions. Antigen detection tests for Flu A<br />

were less sensitive in comparison to culture and RT-PCR<br />

in detecting (A/H1N1/2009) with sensitivity ranging<br />

between 50-80% in several studies (Panning et al., 2009;<br />

Loeffelholz, 2008; Al Johani, 2009; Cheng et al., 2009).<br />

In this study, we evaluated the performance of a new<br />

Molecular Point-Of-Care (POC) GeneXpert flu A /H1N1<br />

test from Cepheid® for rapid detection of different<br />

Influanza A virus including (A/H1N1/2009) virus and<br />

compared it to RT-PCR results at King Abdulaziz Medical<br />

City, Riyadh, Saudi Arabia.<br />

MATERIALS AND METHODS<br />

A total of 186 respiratory patient samples were collected from<br />

patient’s with influenza like illness (ILI) attending the King Abdulaziz<br />

Al Johani 5139<br />

Medical City, Riyadh. This is a 1,000 bed tertiary care facility.<br />

Patient specimens were tested in parallel using a real-time reversetranscriptase<br />

PCR (RT-PCR) (Roche Diagnostics GmbH,<br />

Mannheim, Germany®) kits and GeneXpert FluA/ H1N1 kit from<br />

Cepheid®. All specimens were collected from patients with<br />

influenza-like illness who met the World Health Organization and<br />

Centre of Disease Control (CDC's) guidelines for screening (CDC,<br />

2009).<br />

Polymerase chain reaction (PCR) method<br />

A/H1N1/2009 was detected by Reverse-Transcription Polymerase<br />

Chain Reaction (RT-PCR) based assay that begins with isolating of<br />

viral RNA from patient’s nasopharyngeal aspiration specimen.<br />

Briefly, viral RNA was extracted on the QIA symphony®SP<br />

system from 400-µL nasopharyngeal aspirates using the<br />

QIAsymphony Virus/Bacteria Kits (Qiagen, Hamburg, Germany®).<br />

The RNA was reverse-transcribed to cDNA using Transcriptor First<br />

Strand cDNA Synthesis kit (Roche Diagnostics GmbH, Mannheim,<br />

Germany®), following the manufacturer recommendations. The<br />

resultant cDNA is then amplified and detected by specific primers<br />

and probes for H1N1 using LightMix InfA swine H1 kit (TIB<br />

MOLBIOL GmbH, Berlin, Germany) and following the manufacture<br />

recommendation.<br />

The amplification and the presence of H1N1 genotype is<br />

confirmed by the melting curve analysis using the Roche lightCycler<br />

2.0 instruments.<br />

GeneXpert FluA test<br />

The Cepheid GeneXpert instrument is a cartridge-based PCR<br />

system for performing nucleic acid extraction, PCR amplification,<br />

and real-time detection automatically without intermediate samplehandling<br />

steps. GeneXpert FluA test were used according to the<br />

manufacturer’s instructions on 100 µL of original sample from<br />

patients with ILI.<br />

The GeneXpert Dx Systems automate and integrate sample<br />

purification, nucleic acid amplification, and detection of the target<br />

sequence in simple or complex samples using real-time RT-PCR<br />

and PCR assays. The system consists of an instrument, personal<br />

computer, and preloaded software for running tests and viewing the<br />

results. The systems require the use of single-use disposable<br />

GeneXpert cartridges that hold the RT-PCR and PCR reagents and<br />

host the RT-PCR and PCR processes. Because the cartridges are<br />

self-contained, cross-contamination between samples is minimized.<br />

For a full description of the systems, refer to the appropriate<br />

GeneXpert Dx System Operator Manual.<br />

The Xpert Flu Assay includes reagents for the detection and<br />

differentiation of Influenza A, Influenza B and Influenza A subtype<br />

2009 H1N1 directly from nasal aspirates/washes (NA/W) and<br />

nasopharyngeal (NP) swab specimens of patients suspected of<br />

having influenza. A Sample Processing Control (SPC) and a Probe<br />

Check Control (PCC) are also included in the cartridge. The SPC is<br />

present to control for adequate processing of the target viruses and<br />

to monitor the presence of inhibitors in the PCR reaction. The<br />

Probe Check Control (PCC) verifies reagent rehydration, PCR tube<br />

filling in the cartridge, probe integrity, and dye stability.<br />

RESULTS<br />

A total of 186 patients with symptoms of influenza were<br />

tested in parallel by using two different methods<br />

GeneXpert FluA and RT-PCR. Of 186 samples, 53


5140 Afr. J. Microbiol. Res.<br />

Table 1. Comparing of Xpert Flu A with Gold standard test.<br />

Xpert Flu A<br />

patient samples were positive by the two methods, RT-<br />

PCR detected 2 patient samples that were negative by<br />

Xpert Flu. Results were classified as true positive, true<br />

negative, false positive, or false negative Xpert Flu A<br />

detected A(H1N1) seasonal and 2009 pandemic,<br />

A(H3N2), A(H5N2), A(H5N1) and A(H7N7) viruses and<br />

correctly subtyped A(H1N1) 2009 virus. Analytical<br />

sensitivity was comparable to RT-PCR. Xpert Flu A<br />

sensitivity and specificity were 96.36 and 100%<br />

respectively when compared to RT-PCR (Table 1).<br />

Sensitivity = 53/55 x 100 = 96.36%<br />

Specificity = 131/131 x 100 = 100%<br />

Positive Predictive Value = 53/ (53 + 2) = 96.36%<br />

Negative Predictive Value = 131 (0 + 131) = 100%<br />

DISCUSSION<br />

In January 2010, Cepheid granted Emergency Use<br />

Authorization (EUA) from the U.S. Food and Drug<br />

Administration (FDA) for its Xpert® Flu A Panel test. The<br />

test, which runs on Cepheid's GeneXpert® System,<br />

identifies Influenza A, Influenza B, and identified the 2009<br />

H1N1 influenza virus in less than one hour. The FDA has<br />

authorized Cepheid's Xpert Flu A Panel to be used in<br />

laboratories certified under the Clinical Laboratory<br />

Improvement Amendments (CLIA) to perform "moderate<br />

complexity" (not waived) testing, enabling the test to be<br />

performed in hospital near-patient settings.<br />

Molecular testing is now recognized as the new gold<br />

standard for detection of influenza virus infection, test<br />

availability for 2009, H1N1 has so far been limited to<br />

high-complexity laboratories and results are not typically<br />

available around the clock. Xpert Flu A Panel combines<br />

the convenience and ease-of-use of rapid testing with the<br />

performance of PCR, in a test format that maximizes<br />

medical value by providing results when they are most<br />

needed.<br />

All other rapid Influenza tests currently on the market<br />

are designed to detect influenza type A, type B, or both.<br />

They can distinguish influenza A from influenza B, but<br />

cannot distinguish (A/H1N1/2009) it from seasonal strains<br />

of flu (Wilde, 2009).<br />

CDC RT-PCR<br />

+ - Total<br />

+ 53 0 53<br />

- 2 131 133<br />

Total 55 131 186<br />

Routine testing for (A/H1N1/2009) using rapid Enzyme<br />

Immunoassay (EIA) tests is not recommended by the<br />

CDC because the sensitivities of the currently available<br />

rapid tests for the detection of (A/H1N1/2009) are quite<br />

poor. Various studies have shown detection rates<br />

between 11 and 70% (CDC 2009a; Faix et al., 2009;<br />

CDC, 2009b; Jenny et al., 2010; Sambol et al., 2010).<br />

This means that the rapid test may fail to detect<br />

(A/H1N1/2009) in 30-90% of cases (Wilde, 2009). Xpert<br />

Flu A, on the other hand, combines the rapid detection<br />

time, on demand use and high sensitivity and specificity,<br />

which are comparable to RT-PCR (Jenny et al., 2010;<br />

Sambol et al., 2010).<br />

The Xpert Flu A Panel is the first commercially<br />

available POC molecular test for detection of influenza A<br />

virus and determination of the H1 2009 subtype and is<br />

comparably sensitive compared with RT-PCR and highly<br />

specific and therefore it represent an excellent alternative<br />

to antigenic POC tests, but it is by far more expensive<br />

than routine Point Of Care testing.<br />

REFERENCES<br />

Al Johani S (2009). Swine infuenza H1N1; Is your laboratory prepared?<br />

Saudi Med. J., 30: 7.<br />

CDC (2009a). Updated interim recommendations for the use of antiviral<br />

medications in the treatment and prevention of influenza for the 2010<br />

season. October 16. Available at:<br />

http://www.cdc.gov/h1n1flu/recommendations.htm (Accessed<br />

November 10).<br />

CDC (2009b). Evaluation of rapid influenza diagnostic tests for<br />

detection of novel influenza A (H1N1) virus --- United States, 2009.<br />

MMWR Morb. Mortal Wkly Rep.; 58: 826-829.<br />

CDC (2009). Protocol of real time RT-PCR for influenza A H1N1<br />

Geneva: World Health Organization, April. (Accessed September 29,<br />

at<br />

http://www.who.int/csr/resources/publications/swineflu/realtimeptpcr/e<br />

n/index.html.).<br />

Cheng CK, Cowling BJ, Chan KH, Fang VJ, Seto WH, Yung R, Uyeki<br />

TM, Houck PM, Peiris JS, Leung GM (2009). Factors affecting<br />

QuickVue Influenza A + B rapid test performance in the community<br />

setting. Diagn. Microbiol. Infect. Dis., 65(1): 35-41.<br />

Faix DJ, Sherman SS, Waterman SH (2009). Rapid-test sensitivity for<br />

novel swine-origin influenza A (H1N1) virus in humans. N. Engl. J.<br />

Med., 361: 728-729.<br />

Jenny SL, Hu Y, Overduin P, Meijer A (2010). Evaluation of the Xpert<br />

Flu A Panel nucleic acid amplification-based point-of-care test for<br />

influenza A virus detection and pandemic H1 subtyping. J. Clin. Virol.,<br />

49(2): 85-89.<br />

Loeffelholz MJ (2008). American Society For <strong>Microbiology</strong>. Sentinel<br />

Laboratory Guidelines For Suspected Agents Of Bioterrorism And<br />

Emerging Infectious Diseases; Avian Influenza A H5N1.


Novel Swine-Origin Influenza A H1N1 Virus Investigation Team (2009).<br />

Emergence of a novel swine-origin influenza A (H1N1) virus in<br />

humans. N. Engl. J. Med., 360: 2605-2615.<br />

Pabbaraju K, Wong S, Drews SJ (2011). Rethinking Approaches to<br />

Improve the Utilization of Nucleic Acid Amplification Tests for<br />

Detection and Characterization of Influenza A in Diagnostic and<br />

Reference Laboratories. Future Microbiol., 6(12): 1443-1460.<br />

Panning M, Eickmann M, Landt O, Monazahian M, Olschläger S,<br />

Baumgarte S, Reischl U, Wenzel JJ, Niller HH, Günther S, Hollmann<br />

B, Huzly D, Drexler JF, Helmer A, Becker S, Matz B, Eis-Hübinger A,<br />

Drosten C (2009). Detection of influenza A (H1N1)v virus by realtime<br />

RT-PCR. Eur. Surveill., 14(36): 19329.<br />

Al Johani 5141<br />

Sambol AR, Iwen PC, Pieretti M, Basu S, Levi MH, Gilonske KD, Moses<br />

KD, Marola JL, Ramamoorthy P (2010). Validation of the Cepheid<br />

Xpert Flu A real time RT-PCR detection panel for emergency use<br />

authorization. J. Clin. Virol., 48(4): 234-238.<br />

Wilde J (2009). Testing for H1N1 Influenza in the Emergency<br />

Department; Medscape Emergency Medicine (Accessed November<br />

10).


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5142-5146, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1235<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

An in-vitro model for studying the adhesion of<br />

Lactobacillus bulgaricus in soyghurt and<br />

enteropathogenic Escherichia coli (EPEC) on HEp-2<br />

Cells<br />

Jetty Nurhajati, Sayuti 1 *, Chrysanti 2 and Syachroni 1<br />

1 Department of Biology, Faculty of Mathematics and Natural Sciences, Padjadjaran University, Indonesia.<br />

2 <strong>Microbiology</strong> Department, Faculty of Medicine, Padjadjaran University, Indonesia.<br />

Accepted 15 February, 2012<br />

Attachment or adhesion of Lactobacillus bulgaricus in soyghurt and enteropathogenic Escherichia coli<br />

(EPEC) with HEp-2 cells has been done. This research was aimed at finding out the adhesion ability of<br />

L. bulgaricus and EPEC on HEp-2 cells experimentally in vitro. The results showed that L. bulgaricus in<br />

soyghurt could carry out adherence in HEp-2 cells and the best adhesion activity of L. bulgaricus was<br />

after 3 h of contact with HEp-2 cells. The longer the incubation time of contact, the greater the adhesion<br />

of L. bulgaricus. The next results of research showed that EPEC could carry out adherence by<br />

expressing localized adherence (LA) pattern and attaching and effacing lesion (A/E) forming a pedestal<br />

on HEp-2 cells. L. bulgaricus in soyghurt has adhesive characteristics so it can be expected to carry out<br />

adherence in gastrointestinal tract and could inhibit EPEC adhesion activity.<br />

Key words: Enteropathogenic Escherichia coli (EPEC), Lactobacillus bulgaricus, culture cell, bacterial<br />

adhesion, soyghurt.<br />

INTRODUCTION<br />

Microorganisms for the production of yoghurt is generally<br />

chosen according to their growth characteristics and taste<br />

in the fermentation of milk; besides, the other aspect to<br />

be considered is bacteria are needed to settle in the<br />

digestive tract and give beneficial effect in vitro. One of<br />

the aspects in question is the capability to carry out<br />

adhesion in the intestinal cell and ephithelial membrane,<br />

with adhesion of the gastrointestinal, is a prerequisite of<br />

colonization by many species of bacteria (Coconnier et<br />

al., 1992).<br />

Adhesion is a factor of bacteria virulence carried out by<br />

the adhesin protein present in pilli and outer membrane<br />

protein (OMP) bacteria. Bacterial adhesion on the tissue<br />

can determine the microorganism colonization capability<br />

(Surono, 2004).<br />

Bacterial adhesion which is followed by the occurrence<br />

of colonization in the sensitive host is an important factor<br />

*Corresponding author. E-mail: jettynurhajati@yahoo.com.<br />

and is needed to start the pathogenesis of diseases<br />

(Todar, 2008). Escherichia coli is one of the bacteria<br />

included in normal microflora of the digestive tract; after<br />

1940, however, the E. coli strain was found in the USA,<br />

the cause of several diseases, one which was E. coli<br />

enteropathogenic (EPEC) (Nataro and Kaper, 1998).<br />

EPEC is the most frequent cause of diarrhoea in babies<br />

and infants, in particular in developing countries like<br />

Indonesia, and to cause infection by way of adhesion with<br />

the receptor present on the host cell surface, like in the<br />

ileum part of the intestine epithelial cell.<br />

Probiotic is a living microbe which, consumed, will<br />

create a therapeutic effect in the body by way of<br />

improving microflora equilibrium in the digestive tract<br />

(Fuller, 1989). Lactobacillus bulgaricus is a probiotic<br />

bacteria used in the production of yoghurt as well<br />

soyghurt. Soyghurt is soybean milk fermented by<br />

probiotic bacteria and which can be converted into<br />

yoghurt, because soybean is known to possess natural<br />

prebiotic source (Winarno, 1993). The addition of L.<br />

bulgaricus in soyghurt can be beneficial for the health, in


that it produces lactic acid, bacteriocins, and H2O2<br />

(Nurhajati et al., 2008).<br />

Cell culture is a very useful way to study bacteria<br />

virulence rate. This is due to the uniformity of cell<br />

population capable of being infected with certain<br />

conditions. Bacterial adhesion has been studied in<br />

various in vitro models, comprising polymer surface,<br />

intestinal epithelial cell, or intestinal cell lines to be<br />

related to clinical relation and placing the adhesion or<br />

adhesion key (Jankowska et al., 2008). The use of<br />

human epidermoid laryngeal (HEp-2) cell lines is an<br />

appropriate method because of good cell population<br />

uniformity to be used in the testing of adhesion potential<br />

of pathogenic as well as non-pathogenic bacteria. And<br />

HEp-2 also resists temperature, nutritional, and<br />

enviromental changes without a loss of viability. Beside<br />

that, it has been used for experimental studies of tumor<br />

production in rats, hamster, mice, embryonated eggs,<br />

and volunteer terminal cancer patients (Viromed, 2012).<br />

This simple test provides an illustration of bacterial<br />

adhesin as well as bacteria receptor in eukaryotic cells,<br />

so as to be able to be used for the characterization of<br />

lactobacilli mechanism capable of interacting with other<br />

cell surfaces, like the intestinal epithelial cell. In addition,<br />

the bacterial adhesion test in HEp-2 cells have been used<br />

to detect virulence among E. coli, which belongs to<br />

serotype E. coli (EPEC) and strain which does not belong<br />

to serotype EPEC (Mathewson and Cravioto, 1989).<br />

A research will therefore be conducted on the L.<br />

bulgaricus bacteria adhesion in soyghurt and E. coli<br />

enteropathogenic (EPEC) in HEp-2 cells.<br />

MATERIALS AND METHODS<br />

Bacteria strain and culture condition<br />

The cultures used were L. bulgaricus FNCC 0041 from collection of<br />

the <strong>Microbiology</strong> Laboratorium, Department of Biology, Padjadjaran<br />

University, and the EPEC bacteria culture, from the collection of<br />

<strong>Microbiology</strong> Laboratorium, Faculty of Medicine, Padjadjaran<br />

University. Each bacteria was grown in the Man Rogosa Sharpe<br />

(MRS) agar (OXOID CM0361 B) media which was supplemented<br />

with 0.5% CaCO3 and McConkey Agar (MCA) (OXOID CM0007)<br />

media at a temperature of 37°C for 24 h.<br />

HEp-2 cell culture<br />

The human epidermoid laryngeal (HEp-2) cell culture from the<br />

collection of the PT. BIOFARMA Product Evaluation and<br />

Surveillance was grown in a 25 cm 2 tissue culture flask, with MEM<br />

media growth supplemented with 10% (v/v) heated inactivated FBS<br />

(30 min 56°C), HEPES, antibiotic-antimicotic solution (1% Penicillin<br />

G-Streptomycin Solution Stabilised and 1% Fungizone<br />

Amphotericyn, and 7.5% NaHCO3 solution. The cell was incubated<br />

at a temperature of 37 at 5% (v/v) CO2 atmospheric condition. The<br />

culture medium was changed every 2 to 3 days. The cell was then<br />

passaged every seven days or after it reached 90% confluent.<br />

For adhesion test, a number of 1, 4 × 10 4 cells per cm 2 were<br />

moved to coverslips in microplate 6 well (22 × 22 mm) with a similar<br />

new culture without antibiotic-antimicotic solution and grown until<br />

80% confluent.<br />

Making soybean milk<br />

Sayuti et al. 5143<br />

The soybeans are sorted until a weight of 300 g and washed clean,<br />

then immersed in 5 L water containing NaHCO3 of 0.25 to 0.5%<br />

concentration for 12 to 24 h. The soybeans are washed and peeled.<br />

The soybeans are crushed using a blender while 2.5 L (80 to<br />

100°C) is added until pulp is obtained. The soybean pulp is sifted to<br />

obtain raw soybean milk. Then 125 g granuled sugar is added and<br />

the mixture is sterilized in an autoclave at 121°C temperature and<br />

pressure of 1 atm (15 lbs) for 10 min (Basuki, 2008).<br />

The making of soyghurt<br />

Soyghut is made using soybean milk as medium and uses as pure<br />

culture L. bulgaricus previously prepared in MRS (Man Rogose<br />

Sharpe) slant Agar. An amount of two ose of L. bulgaricus culture<br />

was inoculated in 100 ml soybean milk medium. The culture<br />

medium was incubated using a shaker bath incubator for 24 h at 37<br />

to 40°C and at a speed of 125 rpm (Misgiyarta, 2003).<br />

Bacterial adhesion activity in HEp-2 cells<br />

L. bulgaricus adhesion activity in Hep-2 cells was conducted by first<br />

preparing a HEp-2 cell monolayer. At the time of use each well was<br />

then rinsed twice with D-PBS. The soyghurt was then turned in a<br />

centrifuge at a speed of 5,000 × g for 10 min, disposing of the<br />

supernatant. The bacteria pellets were twice washed with PBS,<br />

then turned in a centrifuge again at a speed of 5,000 × g for 10 min,<br />

and then equalized to an McFarland 1 turbidity, namely 3×10 8 CFU<br />

mL -1 . The same procedure was applied to the EPEC bacteria. Then<br />

1 ml of each bacteria suspension was added to the 1 ml cell culture<br />

medium. The suspension (2 ml) was then distributed respectively to<br />

microplate 6 shafts, then incubated at 37°C and atmospheric<br />

condition of 5% CO2 (v/v) for 0, 1, and 3 h. Each Hep-2 cell<br />

monolayer was then rinsed with PBS five times. Then the cell HEp-<br />

2 monolayer was fixated with methanol and left to dry at room<br />

temperature, then coloured with Gram stain, and examined under a<br />

microscope. (Coconnier et al., 1992; Zhong et al., 2004).<br />

Data analysis<br />

The data of the number of L. bulgaricus bacteria adhesion counted<br />

were 20 random microscopic areas replicated twice to reduce bias,<br />

then statistically analyzed using ANOVA, follwed by DMRT<br />

(Duncan's Multiple Range Test) in the case of significant difference<br />

(P


5144 Afr. J. Microbiol. Res.<br />

Figure 1. L. bulgaricus adhesion in HEp-2 cells (arrow) with Gram stain<br />

magnified 2,000x.<br />

the fact that each probiotic bacteria, like L. bulgaricus and<br />

pathogen bacteria like EPEC can carry out adhesion at<br />

HEp-2. In Figure 1, the L. bulgaricus can carry out<br />

adhesion at HEp-2 with the adherence type in the form of<br />

diffuse or spreading. This is similar to the research that<br />

used L. acidophilus BG2FO4 the type of adhesion of<br />

which can diffuse at the Caco-2 (Coconnier et al., 1992)<br />

cell. To see the extent of adhesive nature, L. bulgaricus<br />

adhesion activity potential test was carried out in<br />

soyghurt at HEp-2, the results of which are shown in<br />

Figure 2.<br />

On the basis of DMRT results, Figure 2 shows that all<br />

treatment contact incubation time (0, 1, and 3 h) could<br />

affect the number of L. bulgaricus cells in soyghurt which<br />

adhered to the HEp-2 cells. There was no difference<br />

between the incubation contact time of 0 and 1 h. The 3 h<br />

contact incubation time showed a very significant<br />

difference with the 0 h, that is, the average number of L.<br />

bulgaricus cells in soyghurt which adhered to the HEp-2<br />

cells increased to become 3 to 4 bacteria cells in<br />

microscopic area, or 71 bacteria cells in 20 microscopic<br />

areas (data not shown) adhere more to the HEp-2 cells<br />

compared to the control average, namely, 0 bacteria<br />

cells. The best L. bulgaricus adhesion potential activity is<br />

at the 3 rd incubation hour, after being incubated with the<br />

HEp-2 cells. This was due to the fact that the longer the<br />

contact incubation time given, the more the adhering L.<br />

bulgaricus. The capability of bacteria to carry out<br />

adhesion at the host cell depends on the structure or<br />

molecule capable of adhering or carrying out adhesion,<br />

which is called adhesin, which enables the organism in<br />

question to adhere to the receptor present in the host<br />

cell. Some probiotic bacteria yield extracellular protein in<br />

the form of adhesin which is specific with respect to<br />

mannosa receptor like MSA. The MSA adhesin protein<br />

made Lactobacillus and in general played a role in the<br />

colony forming in the digestive tract and competition with<br />

other pathogen bacteria (Nurhajati et al., 2009). L.<br />

bulgaricus included Gram-positive has rod forming and<br />

usually keep size 0.5 - 1.2 x 1.0 – 10 µm, nonspora,<br />

motile by peritrik flagel. Characteristic of bacteria surface<br />

related to adhesion ability on some substrat. Tecoat acid<br />

and spesific O-polisacarida can used as adhesin by<br />

Gram positive bacteria. In Gram positive bacteria,<br />

adhesin protein measures spesific to receptor such as<br />

mannosa (Nurhajati et al., 2008).<br />

EPEC adhesion activity at HEp-2 cells<br />

Results of adhesion activity in HEp-2 cells after being<br />

incubated at 37 to 5% CO2 are shown in Figure 3.


Figure 2. DMRT Graph, effect of various contact incubation period on the number of L. bulgaricus cells in<br />

soyghurt which adhere to the HEp-2 cell. ** The best adhesion number activity (P < 0.01).<br />

Figure 3. EPEC adhesion in HEp-2 cells (arrow) with Gram stain. (A) show Localized<br />

Adherence or LA at 1,700x magnification; (B) The forming of Attaching and Effacing (Pedestal)<br />

Lesion magnified 4,000x; and (C) EPEC Bacteria which have already formed a Pedestal Attract<br />

other EPEC Bacteria, at 4,000x magnification.<br />

Sayuti et al. 5145


5146 Afr. J. Microbiol. Res.<br />

Localized adherence (LA) is a term used for bacteria<br />

cells which adhere to the epithelial cell in vitro and which<br />

form a microcolony in a clear area. The LA phenotype<br />

has a link in induction at the attaching and effacing lesion<br />

(A/E) produced by EPEC.<br />

Lesion (A/E) is characterized by the destruction of<br />

microvilli, strong adhesion by the bacteria at the intestinal<br />

epithelium, forming a pedestal and centralized actin<br />

aggregation (Rüttler et al., 2006) The pedestal is an<br />

increase in cell membrane up to 10 µM above the cell<br />

with invagination central and cystoskeleton protein<br />

accumulation beneath the microcolony adhesion which<br />

causes the surface to lose its absorption function,<br />

causing the suspicion that it is responsible for the coming<br />

about of diarrhea. The production of lesion (A/E) is<br />

determined by the genetic factor present in locus<br />

enterocyte effacement (LEE) EPEC, like intimin and tir<br />

(translocator intimin receptor) (Rüttler et al., 2006). The<br />

intimin-Tir interaction makes a cystoskeletal accumulation<br />

beneath the strong adhesion of the bacteria which form<br />

lesion formation (A/E) (Goosney et al., 2000).<br />

This happens because at EPEC bacteria there is gene<br />

group which encodes bundle forming pili (Bfp) with the<br />

function to connect bacteria with the microcolony so as to<br />

create stability. Bfp plays an important role in the host cell<br />

adhesion which will increase lesion formation (A/E),<br />

partially as well as fully, by the mobilization of bacteria in<br />

the host cell environment (Trabulsi et al., 2002). EPEC<br />

included Gram-negative bacteria cell with thin cell wall<br />

(10 nm) and comprises single peptidoglycan layer<br />

surrounded by membrane structure which is outer<br />

membrane protein (OMP). To Gram-negative bacteria,<br />

adhesion was minor subunit protein in posterior of pilli<br />

which can be adhesion media (Todar, 2008).<br />

Conclusion<br />

In the overall microscopic research observation, it was<br />

clearly seen that there was adhesion between bacteria,<br />

probiotic as well pathogen bacteria with HEp-2 cell<br />

surface. In addition, the bacteria cell cluster visible on the<br />

cell surface showed the presence of some cell to cell<br />

interactions occurring between bacteria cells. It is<br />

therefore expected that L. bulgaricus probiotic bacteria<br />

adhesion can prevent gastroenteritis diseases due to<br />

pathogen bacteria adhesion, one of which is EPEC. Their<br />

bacterial detective work as a powerful proof of concept<br />

for understanding the health implications of the close<br />

relationship between microbes and their hosts, and for<br />

advancing the development of micro-organism-mediated<br />

‘probiotic’ therapeutic strategies in the future.<br />

ACKNOWLEDGEMENTS<br />

We would like to express our thanks to I-MHERE for the<br />

donation provided. We would also like to thank the<br />

Healthcare <strong>Research</strong> Unit of the Faculty of Medicine,<br />

Padjadjaran University and PR. BIOFARMA for the aid in<br />

providing research materials.<br />

REFERENCES<br />

Basuki TJ (2008). Making Healthy Soybean Milk.http://basuki.asia/<br />

archives/46. (Culinary: making healthy soybean milk). pp. 1-3.<br />

Coconnier MH, Klaenhammer TR, Kernéis S, Bernet MF, Servin AL<br />

(1992). Protein-mediated adhesion of Lactobacillus acidophilus<br />

BG2FO4 on human enterocyte and mucus- secreting cell lines in<br />

culture. Appl. Environ. Microbiol., 58(6): 2034-2039.<br />

Fuller R (1989). Probiotics in man and animals. J. Appl. Bacteriol., 66:<br />

365-378.<br />

Goosney DL, DeVinney R, Pfuetzner RA, Frey EA, Strynadka NC,<br />

Finlay BB (2000). Enteropathogenic E. coli translocated intimin<br />

receptor, Tir, interacts directly with alpha-actinin. Curr. Biol., 10:735–<br />

738.<br />

Jankowska A, Laubitz D, Antushevich H, Zabielski R, Grzesiuk E<br />

(2008). Competition of Lactobacillus paracasei with Salmonella<br />

enterica for adhesin to Caco-2 cells. J. biomed. biochem., Article<br />

ID357964: pp. 1-6.<br />

Mathewson JJ, Cravioto A (1989). HEp-2 cell adherence as an assay<br />

for virulence among diarrheagenic Escherichia coli. J. Infect Dis.,<br />

159: 1057-1060.<br />

Misgiyarta dan Widowati S (2003). Selection and characterization of<br />

indigenus lactic acid bacteria. Proceedings of seminar pilot research<br />

and plant biotechnology results. pp. 374-387.<br />

Nataro JP, Kaper JB (1998). Diarrheagenic Escherichia Coli. Clin.<br />

Microbiol. Rev., 11(1): 142-201.<br />

Nurhajati JS, Indrawati I, Syaftika N (2008). Soyghurt Antibacterial<br />

Activity Both Single Culture and Mixed Culture of Lactobacillus<br />

bulgaricus and Streptococcus thermophillus According Incubation<br />

Time on Several Species of Bacteria Bacteria Causing Diarrhea.<br />

(Thesis) (<strong>Microbiology</strong> Laboratory, Department of Biology,<br />

Padjadjaran University Documentation). pp: 20.<br />

Nurhajati JS, Nurhidayat N, Annis D, Rachmawati R (2009). Selection of<br />

Lactobacillus genus probiotic bacteria characterization from kuweni<br />

manggo (Mangifera odorata G.) based on Mannose Specific Adhesin<br />

(MSA) gene expression and acitivity. (Thesis) (<strong>Microbiology</strong><br />

Laboratory, Department of Biology, Padjadjaran University<br />

Documentation), pp: 58-60.<br />

Rüttler ME, Yanzón CS, Cuitiño MJ, Renna NF, Pizarro MA, Ortiz AM<br />

(2006). Evaluation of multiplex PCR method to detect<br />

enteroaggregative Escherichia coli. Biocell. 30(2): 301-308.<br />

Surono IS (2004). Fermented Milk Probiotic and Healthcare. YAPMMI.<br />

Jakarta: pp. 1-252<br />

Todar K (2008). Bacterial structure in relationship to pathogenicity: The<br />

importance of the bacterial surface. http://www.textbookof<br />

bacteriology.net University of Wisconsin-Madison Department of<br />

Bacteriology. Pp. 1-4.<br />

Trabulsi LR, Keller R, Gomes TAT (2002). Typical and atypical<br />

enteropathogenic Escherichia coli. Emerg. Infect. Dis., 8(5): 508-513.<br />

Viromed (2012). HEp-2 Cell Lines. http://www.viromed.com/<br />

service/product/hep2.com.<br />

Winarno FG (1993). Food nutrition,technology and consumer. PT.<br />

Gramedia Pustaka Utama. Jakarta: p. 238.<br />

Zhong SS, Zhang ZS, Wang JD, Pan LJ (2004). Competitive inhibition<br />

of adherence of enterotoxigenic Escherichia coli, entero-pathogenic<br />

Escherichia coli and Clostridium difficile to intestinal epithelial cell line<br />

lovo by purified adhesin of Bifidobacterium adolescentis 1027. World<br />

J. Gastroenterol., 10(11): 1630-1633.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24) pp. 5147-5152, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1242<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

The occurrence of Bacillus thuringiensis strains in<br />

chemical intensive rice growing ecosystem<br />

P. Kannan 1 , R. Xavier 1 , R. Josephine 1 , K. Marimuthu 1 , S. Kathiresan 1 and S. Sreeramanan 2 *<br />

1 Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Malaysia.<br />

2 School of Biological Sciences, Universiti Sains Malaysia (USM), Penang, Malaysia.<br />

Accepted 13 January, 2012<br />

Sustainable crop production is largely depended on the efficient crop protection measures. Use of<br />

synthetic chemicals though seemed to be effective; in long run it proved to be detrimental to the<br />

biosphere. Rice being the major stable food of Asians received much attention on improving the<br />

productivity. In the present investigation, native Bacillus thuringiensis (Bt) isolates were isolated in the<br />

chemical intensive rice growing ecosystem. The isolation of Bt from the soils of rice fields indicated the<br />

ability of Bt to survive under chemical stress. Since all the isolates are motile, it is presumed that these<br />

isolates may be virulent against different rice pests and indicated their possible role in nitrogen cycle.<br />

The results obtained also reveal the presence of multiple strains of Bt with varying protein profile and<br />

hence possibility of a broad spectrum of insecticidal activity.<br />

Key words: Bacillus thuringiensis, isolation, rice ecosystem.<br />

INTRODUCTION<br />

Sustainable food production is the global concern to feed<br />

the tremendously increasing population from a declining<br />

acreage of farm lands. Plant health is one of the major<br />

contributing factors which decide the quantum of crop<br />

production. Pests and diseases are the prime limiting<br />

factors for sustainable rice production, particularly the<br />

yellow stem borer (Scirpophaga incertulas), the striped<br />

stem borer (Chilo suppressalis) and the leaf folder<br />

(Cnaphalocrosis medinalis) (Ye et al., 2009). Synthetic<br />

chemicals though seemed to be effective, have become<br />

the cause of insect resistance, resurgence and<br />

environmental contamination. Logically the introduction of<br />

naturally occurring native Bacillus thuringiensis (Bt)<br />

strains as one of the armour in the rice integrated pest<br />

management (IPM) will help in the sustainable rice<br />

production.<br />

B. thuringiensis (Bt) is a Gram-positive, spore-forming<br />

soil bacterium, produces crystalline inclusions<br />

concomitantly during sporulation. These crystal proteins<br />

are highly toxic to a number of insects belonging to<br />

*Corresponding author. E-mail: sreeramanan@gmail.com.<br />

different orders including Lepidoptera (Cohen et al.,<br />

2000). The crystal proteins are highly target specific and<br />

are harmless to the non-target organisms including<br />

humans and other vertebrates. Bt had been isolated from<br />

different environments including phylloplane (Smith and<br />

Couch, 1991), herbivorous farm animal faeces<br />

(Maheswaran et al., 2010) grain storage facilities,<br />

sericulture and from crop growing farm lands (Xavier et<br />

al., 2007) and the entomocidal potency of these new Bt<br />

isolates had been demonstrated. However, there have<br />

been no much investigations to isolate B. thuringiensis<br />

strains from chemical intensive rice ecosystem. The<br />

results of our study indicated the presence of more than<br />

one strain of Bt in the high chemical stress condition. This<br />

novel result suggests possible pesticide degrading<br />

potential of the Bt isolates, which can be considered one<br />

of the viable solution to overcome the problem of<br />

chemical persistence in soil. Globally there has been a<br />

renewed surge in the isolation and characterization of<br />

native strains of Bt for the following reasons:<br />

1. It is presumed that the native Bt strains may exhibit a<br />

better entomocidal activity toward the target species,<br />

because of prolonged habitation and adaptation in the


5148 Afr. J. Microbiol. Res.<br />

particular environment.<br />

2. To understand the diversity and predominance of<br />

different strains of Bt with varying cry gene content.<br />

3. To study the biological role of non-insecticidal crystal<br />

proteins produced by certain naturally occurring Bt<br />

strains.<br />

4. Periodical introduction of native strains of Bt with novel<br />

activities will serve as a tool to manage insect resistance.<br />

5. The new strains of Bt develop through evolutionary<br />

process, may harbor novel cry genes, that may be<br />

gainfully used in the development of insect resistant<br />

plants.<br />

Hence the present study is aimed at investigating the<br />

occurrence and distribution of native B. thuringiensis in<br />

the chemical intensive rice growing fields.<br />

MATERIALS AND METHODS<br />

Sample collection<br />

Soil samples were collected from different rice fields in the State of<br />

Kedah Darul Aman, Malaysia. To our knowledge, these fields had<br />

not been previously treated with Bt based bio-pesticides, thus it is<br />

likely that commercial strains of Bt were an artefact in this study.<br />

Samples were collected by scrapping off the surface material with a<br />

sterile spatula and collecting approximately 30 g sample 2 to 5 cm<br />

below the surface in sterile plastic bags. Samples were transferred<br />

to the laboratory and stored at 4°C until further processing.<br />

Isolation of B. thuringiensis from soil<br />

Approximately 10 g of soil was ground to powder using a sterile<br />

paper. A modified version of temperature selection method was<br />

used to isolate B. thuringiensis from the soil samples (Xavier et al.,<br />

2007). Briefly, the powered sample was added to 100 ml of sterile<br />

distilled water and homogenized in an orbital shaker (200 rpm) for 4<br />

h at room temperature. After complete homogenization, 1 ml aliquot<br />

was taken and heated at 80°C for 15 min in a pre-warmed 6 ml<br />

glass test tube to kill or inactivate all the vegetative forms. The heat<br />

shocked aliquots were serially diluted to 10 -7 and plated on nutrient<br />

agar and incubated overnight. Bacillus-like colonies were randomly<br />

picked, subcultured on nutrient agar and maintained for further<br />

investigation.<br />

Coomassie brilliant blue (CBB) staining<br />

A straight inoculating wire was used to transfer an aliquot of the<br />

sporulated colony on to a microscopic slide. The slide was then<br />

heat fixed and stained (0.133% Coomassie Brilliant Blue stain in<br />

50% acetic acid), rinsed with distilled water, dried and observed<br />

under light microscope using 100 × oil immersion objective<br />

(Rampersad and Ammons, 2002). The presence of parasporal<br />

bodies were clearly observed as dark –blue staining objects.<br />

Motility test<br />

Motility of B. thuringiensis isolates were tested by the growth<br />

pattern on nutrient agar plates. The isolates were streak-inoculated<br />

onto the middle of the agar plate from top to bottom and incubated<br />

overnight at 30°C. If a colony was to spread out from the inoculation<br />

site, the strain was scored as motile; otherwise it was scored as<br />

non-motile (Frederiksen et al., 2006).<br />

Nitrate reduction assay<br />

This assay was conducted to determine the ability of B.<br />

thuringiensis isolates to reduce nitrate to nitrite. The procedures<br />

followed were as indicated by the manufacturer (Becton, Dickinson<br />

and Company, USA). B. thuringiensis isolates were grown in nitrite<br />

broth for 24 h at 37°C. To this broth, the Nitrate A and B reagents<br />

were added in equal proportions. The medium will turn pink or red if<br />

the organism is nitrate positive. The reaction indicates the ability of<br />

the organism to reduce nitrate (NO3) to nitrite (NO2). The absence<br />

of colour development either to pink or red indicates that the<br />

isolates are negative to nitrate test. The addition of Nitrate C<br />

reagent (zinc dust) to the broth is used to detect the unreduced<br />

nitrate. In the presence of unreduced nitrate, zinc dust will turn the<br />

medium pink or red.<br />

Protein profiling by SDS-PAGE<br />

The protein profiles of the B. thuringiensis isolates were determined<br />

through sodium dodecyl sulfate-polyacrylamide gel electrophoresis<br />

(SDS-PAGE) (Laemmli, 1970). The bacterial isolates were grown<br />

on nutrient broth. When 90% of the cells are lysed the culture was<br />

harvested. This spore-crystal mixture was thoroughly washed with 1<br />

M NaCl for three times by centrifugation at 12,000 g for 10 min. The<br />

pellet was resuspended in distilled water in an eppendorf tube. The<br />

total protein concentration was estimated by Bradford method<br />

(Bradford, 1976). The samples were boiled for 10 min in 5 × sample<br />

solubilising buffer and loaded onto 10% SDS-polyacrylamide gel.<br />

Upon completion of electrophoresis the gels were stained with<br />

Coomassie Brilliant Blue R250 [50% (v/v) ethanol, 10% (v/v) acetic<br />

acid and 0.1% Coomassie Brilliant Blue dye] for 1 h for complete<br />

staining. The excess stain was removed by destaining with a<br />

solution containing 6.75% (v/v) glacial acetic acid and 9.45% (v/v)<br />

ethanol for 2 to 3 h on a rocker. The molecular mass of proteins<br />

was determined by comparison with protein standards.<br />

Transmission electron microscopy<br />

The B. thuringiensis isolate S1 was grown in nutrient broth until<br />

sporulation. The sample was subjected to negative staining to<br />

observe the morphological features of the isolate. A drop of the<br />

culture to be examined was placed on a carbon film coated with<br />

400 mesh copper grid. After 1 to 3 min, the droplet was wicked to<br />

dryness using pieces of filter paper. After a minute, a drop of the<br />

negative stain solution (2% methylamine tungstate) was added to<br />

the surface of the grid. After complete drying the grid was examined<br />

with transmission electron microscope (Philips CM12 equipped with<br />

an analysis Document Version 3.2 image analyse system).<br />

RESULTS<br />

Colony morphology<br />

The colony morphology of B. thuringiensis and Bacillus<br />

cereus cannot be distinguished. Therefore colonies<br />

showing the typical morphology of B. cereus were<br />

selected. The fully developed colonies are round, white,<br />

with regular margins exhibiting identical colony


Bacillus colony<br />

Fig 1. Colony morphology of Bacillus thuringiensis isolate S3<br />

Figure 1. Colony morphology of B. thuringiensis<br />

isolate S3.<br />

Fig 1. Colony morphology of Bacillus thuringiensis isolate S3<br />

Crystal<br />

Vegetative cell<br />

Spore<br />

Figure 2. Phase contrast microscopy of CBB stained vegetative<br />

and sporulated cells with crystal protein of B. thuringiensis isolate<br />

S1 (100 x).<br />

morphology as that of the wild type B. thuringiensis<br />

strains The organism in the Figure 1 was identified to be<br />

B. thuringiensis isolate S3. The next level of screening is<br />

to check the isolates for sporulation, an important feature<br />

of B. thuringiensis. The isolates are grown in nutrient<br />

broth, after 72 h; the culture was checked under light<br />

microscope. The presumptive B. thuringiensis isolates<br />

appear as thin slender rods in short chains, and the<br />

spores are seen as bright objects.<br />

Fig 2: Phase contrast microscopy of CBB stained vegetativ<br />

crystal protein of B. thuringiensis Kannan isolate et al. S1 (100 5149 x)<br />

Figure 3. A motile strain of B. thuringiensis isolate.<br />

Coomassie brilliant blue (CBB) staining of crystal<br />

protein<br />

The sporulated cultures of the isolates were subjected to<br />

CBB staining. The parasporal crystalline inclusions were<br />

stained which appear as dark blue objects (Figure 2).<br />

This method combines the advantage of phase contrast<br />

microscopy and staining the parasporal bodies. Generally<br />

phase contrast microscopy is commonly used to detect<br />

the presence of parasporal inclusion bodies in the<br />

environmental isolates of B. thuringiensis. CBB staining<br />

method offers two significant advantages over phasecontrast<br />

microscopy. The first, unlike phase-contrast<br />

microscopy, very small parasporal bodies were readily<br />

visible. Second, the presence of stained parasporal<br />

bodies were striking and instantaneously visible, much<br />

more so than with phase-contrast microscopy<br />

(Rampersad and Ammons, 2002). This method is best<br />

suited for preliminary screening of B. thuringiensis<br />

isolates.<br />

Motility test<br />

Fig 2: Phase contrast microscopy of CBB stained vegetative and sporulated cells with<br />

crystal protein of B. thuringiensis isolate S1 (100 x)<br />

Most of the Bt strains are motile by peritrichous flagellum.<br />

However, non-motile Bt had also been reported<br />

(Damgaard et al., 1997). Motility of Bt is an indirect<br />

indicator of virulence and biological activity of Bt strains<br />

(Bouillaut et al., 2005). The results of motility study<br />

indicated that all the Bt isolates are motile (Figure 3),<br />

indicating that these Bt isolates are virulent and may<br />

exhibit desired biological activity from the crop protection<br />

perspectives.<br />

Nitrate reduction test<br />

All the isolates tested for nitrate reduction test exhibited


5150 Afr. J. Microbiol. Fig 3. Res. A motile strain of B. thuringiensis isolate<br />

kDa<br />

250<br />

150<br />

100<br />

75<br />

50<br />

37<br />

Protein<br />

marker<br />

Figure 4. SDS-PAGE analysis of B. thuringiensis isolates S1 to S4.<br />

nitrate reduction activity. Nitrogen is one of the<br />

macronutrient, the deficiency of which significantly affects<br />

the crop production, particularly the nitrogen deficiency is<br />

pronounced in rice. Denitrification, the respiratory<br />

reduction of nitrate to gaseous products is an important<br />

component of nitrogen cycle, which influences the soil<br />

fertility. From the results it is assumed that these Bt<br />

isolates may play a role in biological nitrogen cycle and in<br />

improving the soil fertility.<br />

SDS-PAGE analysis of crystal proteins<br />

Fig 4. SDS-PAGE analysis of B. thuringiensis isolates S1 to S4<br />

Protein<br />

marker<br />

S5 S6 S7<br />

The SDS-PAGE analysis of the total protein showed a<br />

S1 S2 S3 S4<br />

Fig 4. SDS-PAGE analysis of B. thuringiensis isolates S1 to S4<br />

kDa<br />

250<br />

150<br />

100<br />

75<br />

50<br />

37<br />

Figure 5. SDS-PAGE analysis of B. thuringiensis isolates S5 to S6.<br />

Fig 5. SDS-PAGE analysis of B. thuringiensis isolates S5 to S6<br />

distinctly varying pattern. Despite, the similarities in the<br />

protein profile between isolate S6 and S7, there is a<br />

conspicuous absence of 27 kDa protein in S6, which is<br />

apparent in the isolate S7. The major protein bands in all<br />

the isolates ranges from approximately 120 to 145 kDa.<br />

Similarly, a protein in the range of 45 to 47 kDa and a<br />

27 kDa is noticed in all the isolates (Figures 4 and 5).<br />

Transmission electron microscopy<br />

The negative staining studies with transmission electron<br />

microscopy showed the rod shaped morphology and<br />

commencement of autolysis upon sporulation of B.


thuringiensis isolate S1 (Figure 6).<br />

DISCUSSION<br />

Figure 6. Transmission electron microscopy of B. thuringiensis isolate S1.<br />

There has been a worldwide search for isolation of native<br />

strains of B. thuringiensis that exhibit higher and broad<br />

spectrum entomocidal activity and Bt strains with novel<br />

biological activity for potential application in various fields.<br />

B. thuringiensis is ubiquitous in natural environment and<br />

most abundant in soil (Ohba et al., 2000). The present<br />

study investigated the occurrence of B. thuringiensis<br />

isolates in soils of chemical intensive rice ecosystem.<br />

Despite the global awareness on the environmental and<br />

health impact of synthetic pesticides, farmer’s world over<br />

continues to rely heavily on the chemical pesticides to<br />

protect the crops against the agricultural pests. Rice is no<br />

exception to this problem. To our knowledge, no previous<br />

studies have been undertaken to isolate Bt from a<br />

chemical stress rice ecosystem. The presumptive isolates<br />

upon Coomassie staining revealed the presence of<br />

protein inclusions, the insecticidal component. The SDS-<br />

PAGE analysis showed unique protein profile for each of<br />

the isolates, indicating the distribution of more than one<br />

B. thuringiensis strains in the rice ecosystem. Generally<br />

the presence of 130 to 140 kDa protein is the indication<br />

of anti lepidopteran activity (de Silva et al., 2004). The<br />

presence of approximately 140 kDa protein in S1 isolate<br />

is indicative of entomocidal activity against lepidopteran<br />

pests, which are considered to be the major pests of rice<br />

world over. The cry gene content of the natural Bt<br />

isolates exhibit wide diversity (Wang et al., 2003). Since<br />

Kannan et al. 5151<br />

the entomocidal potential of the Bt is largely depend on<br />

the toxins (Berry et al., 2002), the varying pattern of<br />

protein profile of the Bt isolated in this study, suggest the<br />

possible diverse spectrum of biological activity.<br />

Generally, Bt is a motile bacterium through peritrichous<br />

flagella (Ghelardi et al., 2002). However, non-motile Bt<br />

had also been reported (Damgaard et al., 1997). Motility<br />

of Bt is an indirect indicator of virulence and biological<br />

activity (Ghelardi et al., 2002). All the B. thuringiensis<br />

isolates were found to be motile which indicates the<br />

virulence and possible entomocidal nature of these<br />

isolates. Further the motility study also forms the basis for<br />

sera typing with flagellar antigens. The Bt isolates which<br />

exhibited nitrate reduction activity may play a critical role<br />

in nitrogen cycle and plant nutrition. Most importantly, this<br />

study has revealed the tolerance and sustainability of the<br />

B. thuringiensis isolates for chemical stress. Zeinat et al.<br />

(2010) reported that a Bt strain isolated from agricultural<br />

waste water contaminated with organophosphorus<br />

pesticides decomposed 91% of malathion incorporated in<br />

the liquid culture with in 15 days. Thus, the Bt isolates<br />

which can survive in the chemical rich environment may<br />

play the scavenging role by degrading the toxic<br />

xenobiotics in the rice ecosystem. Further molecular<br />

analysis on the cry gene content and insect bioassays<br />

will reveal the full entomocidal potential of these Bt<br />

isolates, which can be harnessed to be a potent microbial<br />

pesticides and can also be a good candidate for<br />

developing transgenic plants. Moreover, periodical<br />

isolation and introduction of such native Bt isolates as a<br />

bio-pesticide will help in the insect resistance<br />

management and soil health management.


5152 Afr. J. Microbiol. Res.<br />

REFERENCES<br />

Berry C, O’Neil S, Ben-Dov E, Jones A, Murphy L, Quail M, Holden M,<br />

Harris D, Zaritsky A, Parkhill J (2002). Complete sequence and<br />

organization of pBtoxis, the toxin-coding plasmid of Bacillus<br />

thuringiensis subsp. israelensis. Appl. Environ. Microbiol., 68: 5082-<br />

5095.<br />

Bouillaut L, Ramarao N, Buisson C, Gilois N, Gohar M, Lereclus D,<br />

LeRoux CN (2005). FlhA Influences Bacillus thuringiensis PlcR-<br />

Regulated gene transcription, Protein Production and Virulence. Appl.<br />

Environ. Microbiol., 71(12): 8903-8910.<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. Annal. Biochem., 72: 248-254.<br />

Cohen BM, Gould F, Bentur JC (2000). Bt rice: Practical steps to<br />

sustainable use. Int. Rice Res., 25(2): 4-10.<br />

Damgaard PH, Granum PE, Bresciani J, Torregrossa MV, Eilengerg J,<br />

Valentino L (1997). Characterization of Bacillus thuringiensis isolated<br />

from infections in burn wounds. FEMS Immunol. Med. Microbiol., 18:<br />

47-57.<br />

De Silva SMB, Silva Werneck JO, Falcao R, Gomes AC, Fragoso RR,<br />

Quezado MT, Neto OBO, Aguiar JB, de Sa MFG, Bravo A Monnerat<br />

RG (2004). Characterization of novel Brazilian Bacillus thuringiensis<br />

strains active against Spodoptera frugiperda and other insect pests.<br />

J. Appl. Ent., 128: 102-107.<br />

Frederiksen K, Rosequist H, Jorgensen K, Wilcksi A (2006). Occurance<br />

of Natural Bacillus thuringiensis based insecticide on fresh fruit. Appl.<br />

Environ. Microbiol., 72: 3435-3340.<br />

Ghelardi E, Celandroni F, Salvetti S, Beecher DJ, Gominet M, Lereclus<br />

D, Wong AC, Senesi S (2002). Requirement of flh A for swarming<br />

differentiation, flagellin export, and secretion of virulence-associated<br />

proteins in Bacillus thuringiensis. J. Bacteriol., 184: 6424-6433.<br />

Laemmli UK (1970). Cleavage of structural proteins during the<br />

assembly of head of bacteriophage T4. Nature, 227: 680-685.<br />

Maheswaran S, Sreeramanan S, Reena Josephine CM, Marimuthu K,<br />

Xavier R (2010). Occurrence of Bacillus thuringiensis in faeces of<br />

herbivorous farm animals. Afr. J. Biotechnol., 9(47): 8013-8019.<br />

Ohba M, Wasano N, Mizuki E (2000). Bacillus thuringiensis soil<br />

populations naturally occurring in the Ryukyus, a subtropic region of<br />

Japan. Microbiol. Res., 155:17-22.<br />

Rampersad J, Ammons D (2002). Usefulness of staining parasporal<br />

bodies when screening for Bacillus thuringiensis. J. Inverteb. Pathol.,<br />

79: 203-204.<br />

Smith RA, Couche GA (1991). The phylloplane as a source of Bacillus<br />

thuringiensis variants. Appl. Environ. Microbiol., 57: 311-313.<br />

Wang J, Boets A, Rie JV, Ren G (2003). Characterization of cry1, cry 2<br />

and cry 9 genes in Bacillus thuringiensis isolates from China. J.<br />

Inverteb. Pathol., 82: 63-71.<br />

Xavier R, Nagarathinam P, Gopalakrisnan, Murugan V, Jayaraman, K<br />

(2007). Isolation of Lepidopteran Active Native Bacillus thuringiensis<br />

Strains Through PCR Panning. Asia Pacific J. Mol. Biol. Biotechnol.,<br />

15 (7): 61-67.<br />

Ye R, Huang H, Yang Z, Chen T, Liu L, Li X, Chen H, Lin Y (2009).<br />

Development of insect-resistant transgenic rice with Cry1C-free<br />

endosperm. Pest Manag. Sci., 65(9): 1015-1020.<br />

Zeinat KM, Mohamed AA, Nashwa AF, Sherif ME (2010). Isolation and<br />

molecular characterization of malathion degrading bacterial strains<br />

from waste water in Egypt. J. Adv. Res., 1: 145-149.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5153-5161, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.022<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Development of a DNA-dosimeter system as biomarker<br />

to monitor the effects of pulsed ultraviolet radiation<br />

Myriam BEN SAID 1 *, Masahiro OTAKI 2 , Shinobu KAZAMA 2 and Abdennaceur HASSEN 1<br />

1 Water Treatment and Recycling Laboratory (LTRE); Water <strong>Research</strong> and Technologies Centre (CERTE),<br />

BP 273, 8020 Borj-Cedria, Tunis, Tunisia.<br />

2 Departments of Human and Environment Sciences, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-Ku,<br />

Tokyo 112–8610, Japan.<br />

Accepted 22 March, 2012<br />

To report the effects of pulsed ultraviolet (PUV) radiation, we have developed a reliable biological<br />

monitoring system based on two approaches. Firstly, a conventional method was used to measure the<br />

number of colonies by the estimation of viable and cultivable bacteria before, and after each exposure<br />

to PUV radiation. The second method was a DNA-dosimeter system based on polymerase chain<br />

reaction (PCR) 16S ribosomal DNA (rDNA) and on terminal restriction fragment length polymorphism (T-<br />

RFLP) analysis. PCR was performed using 27F and 905R primers to replicate a fragment of the<br />

rDNA gene. The comparison of inactivation kinetic results obtained by a classic account of viable and<br />

cultivable bacteria (UV dose/ response) and the analysis of DNA-dosimeter determined by PCR<br />

amplification and peak-profiles T-RFLP; shows a correlation between the reduction of the colonyforming<br />

ability of Pseudomonas aeruginosa and the progressive decrease of 16S rDNA PCR products<br />

and of relative peak area of a specific terminal restriction fragment (T-RF).<br />

Key words: Pulsed UV light, Pseudomonas aeruginosa, viable but non-culturable (VBNC) bacteria, 16S rDNA,<br />

terminal restriction fragment length polymorphism (T-RFLP).<br />

INTRODUCTION<br />

The light generated by pulsed ultraviolet (PUV) lamps<br />

consists of a continuous broadband spectrum from deep<br />

UV to the infrared (IR), especially rich in UV range below<br />

400 nm, which is germicidal. In PUV light system, UVlight<br />

is pulsed several times per second and each pulse<br />

lasts between 100 ns and 2 ms (Sharifi-Yazdi and<br />

Darghahi, 2006).<br />

PUV light is a non-thermal, high-peak power<br />

technology that consists of intense flashes of broadspectrum<br />

white light with wavelengths from 200 nm in the<br />

UV to 1000 nm in the near-IR region (Rowan et al.,<br />

1999).<br />

Each pulse may have up to 90000 times the intensity of<br />

sunlight at sea level, and may last only a few hundred<br />

*Corresponding author. E-mail: myriam_rebia@yahoo.fr.<br />

millionths of a second, and thus a PUV light system can<br />

produce very high peak power pulsed light in a very short<br />

time. Because of its high peak power, PUV light has been<br />

successfully used as a sterilization tool to kill bacteria and<br />

fungi in foods (Bialka et al., 2008) and water (Sharifi-<br />

Yazdi and Darghahi, 2006). The killing effect is 4 to 6<br />

times higher than that of the conventional continuous UV<br />

light at the same energy level (MacGregor et al., 1998).<br />

The wavelength for UV processing ranges from 200 to<br />

280 nm, called the germicidal range, since it effectively<br />

inactivates the microorganisms. The effectiveness of<br />

germicidal UV light in biological inactivation arises<br />

primarily from the fact that DNA molecules absorb UV<br />

photons between 200 and 300 nm, with peak absorption<br />

at 254 nm (Ben Said et al., 2011). This absorption<br />

creates damage in the DNA by altering nucleotide base<br />

pairing; thereby creating atypical linkages between<br />

adjacent nucleotides on the same DNA strand. This


5154 Afr. J. Microbiol. Res.<br />

damage occurs particularly between pyrimidine bases<br />

that result in an inhibition of replication and, in case of<br />

lethal doses, in a loss of reproducibility. However,<br />

microbes possess several mechanisms to enable cell<br />

survival following UV exposure.<br />

Two well known types of mutagenic lesions in UV<br />

irradiated DNA were determined; Cyclobutane Pyrimidine<br />

Dimers (CPDs) formed between the C-4 and C-5<br />

positions of adjacent thymidine or cytosine residues, and<br />

pyrimidine (6–4). Pyrimidine (6–4) photoproducts formed<br />

between the C6 and C4 position of adjacent pyrimidine<br />

residues, most often between T-C and C-C residues<br />

(Douki et al., 2003).<br />

However, UV disinfection is noted to have some<br />

problems, one of them is reactivation. In fact, to a certain<br />

extent, DNA damage can be tolerated by the cell until<br />

repair occurs (Zimmer and Slawson, 2002). The<br />

mechanism by which, microorganism recovers replication<br />

activity; through a direct reversion of thymine dimers is<br />

called photoreactivation (Douki et al., 2003). This process<br />

is catalysed by the DNA repair enzyme photolyase and<br />

requires visible light. Apart from photoreactivation,<br />

numerous light-independent repair mechanisms exist that<br />

are regulated by the expression of the single-strand DNA<br />

binding protein RecA (Makarova et al., 2000).<br />

The aim of this study was to monitor the effectiveness<br />

of PUV light to inactivate tested bacteria using two biodosimetry<br />

approaches: (i) study of bacterial response to<br />

an increasing number of PUV irradiation (dose/response);<br />

(ii) use of PCR assay amplified a 16S rDNA fragment and<br />

T-RFLP analysis of PCR products and (iii) compare<br />

between results obtained by classic and molecular biodosimetry<br />

techniques.<br />

MATERIALS AND METHODS<br />

Bacterial strains<br />

Pseudomonas aeruginosa used in this study was obtained from<br />

American Type Culture Collection (ATCC 15442). Cultures were<br />

grown in Luria-Bertani broth (LB) [10 g tryptone; 5 g yeast extract;<br />

10 g NaCl] or LB agar (LBA) (10 g tryptone; 5 g yeast extract; 10 g<br />

NaCl 15 g/L agar). Saline [0.85% (wt/vol) NaCl] was used for cells<br />

suspensions during UV irradiation.<br />

PUV radiation<br />

The PUV system is developed by the combination with power and<br />

flash UV lamp technology. PUV light was differed from the<br />

traditional continuous UV light by the much higher irradiance of UV<br />

illumination and reduction of exposure time. Indeed flash lamps<br />

commonly operate with pulse lengths ranging from a few tens of<br />

milliseconds to over milliseconds.<br />

UV irradiation for polychromatic UV source (UV pulse lamp) was<br />

measured using a potasium iodide/iodate actinometry (KI/KIO3)<br />

according to Rahn et al. (2003).For this study, UV dose determined<br />

by chemical actinometry was equal to 5.72 mJ/cm 2 per UV-pulse.<br />

In order to reduce the photo-thermal effect of PUV light due to<br />

visible light and IR, the PUV system was equipped with a<br />

ventilator.<br />

UV-irradiated bacteria<br />

For dose/response relationship and reactivation experiments, the<br />

strain of P. aeruginosa was cultured in Luria-Bertani broth (LB).<br />

Bacterial suspension was diluted in saline Phosphate Buffer (PBS)<br />

in order to obtain a concentration ranged from 1 x 10 5 to 1 x 10 6 cfu/<br />

ml. Then, the bacterial suspensions were used for irradiation<br />

experiments. A volume of 20 ml of the prepared suspensions was<br />

transferred into a standard Petri dish for the eventual exposure to<br />

an increasing number of PUV-light.<br />

Viable cell counts<br />

Viable cell counts were taken before and immediately after UV<br />

exposure. A 100 µl portion of each irradiated samples was removed<br />

in order to prepare serial dilutions in PBS buffer. A volume equal to<br />

100 µl of the appropriate serial dilutions was spread in duplicate<br />

onto LB agar. The number of colony-forming unit (CFU/ml) or a<br />

number of viable and cultivable bacteria was determined after 24 h<br />

of incubation at 37°C. The fraction of viable and cultivable bacteria<br />

was calculated by dividing the number of CFU in the UV-treated<br />

sample (N) by the number of CFU determined at time zero before<br />

UV irradiation (N0).<br />

DNA extraction from P. aeruginosa<br />

The genomic DNA of P. aeruginosa was extracted immediately<br />

before and after irradiation by different doses of UV-C light and<br />

after rest times conditions the DNA extraction using DNA extraction<br />

kit UltraClean_Soil DNA TM Isolation Kit (Mo Bio Laboratories, Int.,<br />

Carlsbad, CA) following the manufacturer’s instructions. The<br />

quantity and quality of the DNA were checked by agarose gel<br />

electrophoresis (1%, w/v) in TAE buffer. The image of the stained<br />

gel was photographed (Gel Doc 1000; Bio Rad) and analysed<br />

(Molecular Analyst software; BioRad).<br />

PCR conditions<br />

For 16S rDNA amplification, the universal bacterial primer set with<br />

27F (5’-AGAGTTTGATCCTGGCTCAG-3’) and 905R (5'-<br />

CCGTCAATTCATTTGAG-3’) primers was used (Kasuga et al.,<br />

2007). The 5’ end of forward primer (27F) was labeled with a 6carboxylfluorescein-derived<br />

phosphoramidite fluorochrome (6-<br />

FAM). PCR amplification was conducted in triplicate by using an<br />

AmpliTaq Gold DNA polymerase kit (Applied Biosystems, Foster<br />

City,CA). The termal cycling conditions consisted of initial heat<br />

denaturation at 95°C for 10 min, followed by 30 cycles of<br />

denaturation at 94°C for 30 s, annealing at 55°C for 30 s, and<br />

extension at 72°C for 2 min. A final extension was then performed<br />

at 72°C for 10 min. The amplified rDNA were quantified using a<br />

NanoDop� ND-1000 spectrophotometer (NanoDop Technologies,<br />

Wilmington, DE).<br />

T-RFLP analysis<br />

The triplicate PCR products for each irradiated samples were mixed<br />

and purified using a MinElute PCR Purification kit (QIAGE, Hilden,<br />

Germany). The DNA concentration was quantified using a<br />

NanoDop� ND-1000 spectrophotometer (NanoDop Technologies,<br />

Wilmington, DE).


Figure 1. The Kinetic of P. aeruginosa ATCC 15442 inactivation following exposure to UV-C<br />

radiation according to the model of Chick-Watson where; y: Reduction = N/N0 with N0: Number of<br />

viable cell before exposure to UV light, N: Number of viable cell after exposure to UV-C radiation; x<br />

= I n Ʈ with I: UV intensity (mW/cm 2 ), Ʈ: Number of PUV light; n = 1. Where error bar are not shown,<br />

differences between duplicates were not detected.<br />

Restriction enzyme digestion was conducted in triplicate. The<br />

PCR products were digested with 10 U of the tetrameric restriction<br />

enzyme HhaI (TaKaRa BIO Inc., Otsu, Japan) in a 20 µl volume<br />

according to the manufacturer’s instruction. The digested products<br />

were purified using a QIAquick Nucleotide Removal Kit (QIAGEN).<br />

The 6-FAM-labeled fragments were analysed with an ABI Prism�<br />

310 Genetic Analyser (Applied Biosystems). Fragment analysis was<br />

carried out by using GeneMapper TM v3.0 software (Applied<br />

Biosystems). The detection threshold for terminal-restriction<br />

fragments (T-RFs) was set to 100 relative fluorescent units (RFU)<br />

for the software. Relative abundance of T-RFs was calculated<br />

based on their peak area.<br />

RESULTS<br />

The inactivation kinetic of P. aeruginosa<br />

The inactivation rate of P. aeruginosa was function of UV-<br />

C dose. The germicidal dose was expressed as the<br />

product of UV radiation intensity (I) and number of PUV<br />

light (Ʈ) (Figure 1).<br />

The lethal effects of pulsed light can be attributed to its<br />

rich broad-spectrum UV content, its short duration, and<br />

high peak power, which play a major role in bacterial<br />

inactivation (Sharifi-Yazdi and Darghahi, 2006). Indeed<br />

the UV region is crucial to the efficiency of PUV light<br />

treatment. It has been confirmed that no killing effect is<br />

achieved if a filter is included to remove the UV<br />

wavelength region below 320 nm (Takeshita et al., 2003).<br />

UV dose-response<br />

N/NO= 1.204e -0.76 Ʈ<br />

R2= 0.988<br />

Said et al. 5155<br />

In order to study the behavior or the response of tested<br />

bacteria to an increasing UV dose (dose/response), the<br />

mathematical model of Chick-Watson was used<br />

according to Hassen et al. (2000):<br />

N/N0 = A exp (- kI n Ʈ) (1)<br />

Where, N0: Number of viable cultivable bacteria before<br />

exposure to UV light; N: Number of viable cultivable<br />

bacteria after exposure to PUV light; A: constant<br />

corresponding to bacteria retaining viability following UV<br />

irradiation; K: Coefficient of lethality; I: The UV-C intensity<br />

expressed in mW/cm 2 ; Ʈ: number of UV pulse and n:<br />

Threshold level of series-event mode; n = 1 for the first<br />

order Chick-Watson model. The constants K and A were<br />

determined by linear regression.<br />

The inactivation kinetic (dose/response) according to<br />

the model of Chick-Watson (Equation 1) shows that the<br />

irradiation of P. aeruginosa by 8 UV pulses is sufficient<br />

for 99.99% inactivation of colony-forming ability, which<br />

corresponds to a UV dose equal to 45.76 mJ.cm -2 . This<br />

UV dose is nearest of the UV fluency generally used in<br />

Europe and the USA for the disinfection of drinking water.<br />

Indeed, according to the literature, 40 mJ.cm -2 is enough<br />

to inactivate 4 Unit-log10 of pathogenic bacteria as<br />

Legionella, enteric viruses, Cryptosporidium oocysts and


5156 Afr. J. Microbiol. Res.<br />

Figure 2. Agarose gel electrophoresis of PCR products generated from irradiated P. aeruginosa<br />

with the primer set 27F and 905R. Image of a 1% agarose gel stained with ethidium bromide.<br />

With, L: 100bp ladder; +C: positive control, Ʈn: Number of PUV light.<br />

Giardia cysts (US-EPA, 2003).<br />

By the analysis of irradiated P. aeruginosa kinetic<br />

curve, we can conclude that 8 UV pulses were sufficient<br />

to inactivate 99.99% of viable and cultivable bacteria<br />

according to a conventional applied dose.<br />

At this stage of research, the question is the equivalent<br />

UV dose equal to 8 UV pulses effective or not for<br />

inactivating bacteria at molecular level?<br />

To answer this question, and to predict biologically<br />

effective of applied UV doses, DNA dosimeter system<br />

based on 16S rDNA PCR amplification and T-RFLP<br />

analysis were used to monitor effects of PUV radiation.<br />

PUV light DNA dosimeter<br />

Based on UV-inactivation’s kinetic curve of P.<br />

aeruginosa, the tested bacteria were exposed to 8, 12,<br />

and 18 UV pulses. Applying these doses resulted in the<br />

inactivation of 99.99% inactivation of bacteria, where the<br />

loss of cultivability of tested bacteria was with or without<br />

subsequent reactivation. Moreover, the bacteria to a<br />

higher number of UV pulses (25, 30, and 35 UV pulses)<br />

were exposed in order to explore the effects of PUV<br />

irradiation on bacterial DNA at a sub-lethal doses.<br />

DNA dosimeter analyzed by polymerase chain<br />

reactions (PCR)<br />

The study of DNA-dosimeter was obtained by the<br />

analysis of 16S rDNA PCR products for the same tested<br />

bacteria and for different irradiation conditions using 27F<br />

and 905R primers. The amplified fragments were to be<br />

approximately 1500 base pairs long (Figure 2).<br />

PCR inhibition was detected already by agarose gel<br />

electrophoresis prior to T-RFLP analysis to check the<br />

size of the PCR products (Figure 2). An intense band was<br />

visible for the unirradiated sample and irradiated samples<br />

with a low PUV. The signal strength of the band was<br />

reduced directly after irradiation (8 UV-pulses).<br />

During PCR amplification, primers and Taq polymerase<br />

across different obstacles (photoproducts) conducts<br />

continual disruption of PCR amplification in function of an<br />

increase number of PUV light.<br />

The comparison between UV dose /response and<br />

DNA dosimeter<br />

The comparison of inactivation kinetic obtained by a<br />

classic account of viable and cultivable bacteria (Figure<br />

1) and the analysis of DNA-dosimeter determined by<br />

PCR amplification (Figure 2) shows in part, the relationship<br />

between the progressive decrease of PCR products<br />

and the reduction of the colony-forming ability of P.<br />

aeruginosa.<br />

The exploitation of DNA-dosimeter determined by 16S<br />

rDNA PCR of P. aeruginosa was obtained by the analysis<br />

of PCR products using Molecular Analyst software<br />

(BioRad), by which a fluorescence intensity area (FIA) of<br />

stained DNA bands was determined, with ethidium<br />

bromide (Figure 3).<br />

According to the first used bio-dosimetry system<br />

(dose/response), 8 UV pulses were sufficient to inactivate<br />

99.99% of viable and cultivable bacteria. This number of<br />

UV pulses can allow the inhibition of nearly 35% of 16S<br />

rDNA amplification in vitro by PCR using 27F and 905R<br />

primers and Taq polymerase for DNA extension (Figure<br />

3). Despite the partially inhibition of PCR amplification,<br />

nearly 65% of amplified 16S rDNA can be ensured in<br />

vitro. This percentage revel that, the equivalent dose of 8<br />

UV pulses allows the inhibition of 99.99% of bacterial<br />

cultivability in usual media, but not the DNA replication,<br />

and thereby, bacterial viability and toxicity.<br />

We can conclude that, the information obtained<br />

restrictively from the simple count of viable and cultivable<br />

bacteria is incomplete. Indeed, some bacteria lose the<br />

cultivability on appropriate growth media but can exhibit<br />

signs of metabolic activity and thus viability (Armisen and


Figure 3. DNA-dosimeter determined by fluorescence intensity area (%) of PCR products of P. aeruginosa using<br />

27F and 905R primers.<br />

Servais, 2004). The presence of these viable but nonculturable<br />

(VBNC) bacteria in natural environment could<br />

be important from a sanitary point of view as some<br />

authors (Ben Said et al., 2010; Servais et al., 2009;<br />

Pommepuy et al., 1996) suggested that pathogenic<br />

VBNC bacteria could maintain their virulence being a<br />

potential reservoir of disease.<br />

In addition, after irradiation by 12 UV pulses (� 68<br />

mJ.cm -2 ), nearly 48% of 16S rDNA could be amplified<br />

(Figure 3). This percentage shows the ability of viable but<br />

non cultivable bacteria not yet reactivated to ensure DNA<br />

replication and bacteria resuscitation. However, when the<br />

number of UV pulses were increased over 12 pulses, a<br />

significant inhibition of PCR amplification was shown for<br />

consequent accumulation of photoproducts generated by<br />

germicidal wavelengths of PUV light. In fact, UV-induced<br />

DNA lesions such as CPDs show differential effects on<br />

DNA conformation, impairing their regulatory functions<br />

and other dynamic processes. Their UV-DNA effects<br />

have a repercussion on DNA replication in vitro using<br />

PCR. Thus, an increasing number of PUV light can cause<br />

mutations in the primer binding sites on the template<br />

strand or a blockage of extension step assumed by Taq<br />

polymerase. Noted that, the inhibition of rDNA<br />

amplification for post-irradiated strain in vitro is similar to<br />

what is going in vivo at bacterial DNA level during<br />

replication and transcription.<br />

y= 114.7e -0.06Ʈ<br />

R 2 = 0.923<br />

Said et al. 5157<br />

PUV light DNA dosimeter analyzed by “peak-profiles<br />

T-RFLP”<br />

A semi-quantitative molecular technique was developed<br />

for rapid analysis of PUV light effects on rDNA<br />

amplification. The technique employed PCR in which one<br />

of the two primers used was fluorescently labeled at the<br />

5' end, and was used for genes encoding 16S rDNA from<br />

total community DNA of unirradiated and irradiated P.<br />

aeruginosa. The PCR product was digested with<br />

restriction enzymes, and the fluorescently labeled<br />

terminal restriction fragment was precisely measured by<br />

using an automated DNA sequencer (Kasuga et al.,<br />

2007).<br />

Figure 4 shows the electropherograms of 16 rDNA T-<br />

RFLP profiles before and after each irradiation by PUV<br />

light.<br />

The analysis of terminal restriction fragment length<br />

polymorphisms<br />

Computer-simulated analysis of terminal restriction<br />

fragment length polymorphisms (T-RFLP) for UV-post<br />

irradiated P. aeruginosa sequences showed that with<br />

proper selection of PCR primers (27F and 905R) and<br />

restriction enzyme (HhaI) (Figure 4), there is no


5158 Afr. J. Microbiol. Res.<br />

Relative Fluorescence Unit<br />

Terminal Restriction Fragment<br />

12 UV pulses<br />

18 UV pulses<br />

Figure 4. Electropherograms of T-RFLPs of HhaI digested 16S rDNA amplified from unirradiated and irradiated P. aeruginosa ATT15422 by an increasing number of PUV light.


Relative Fluorescence Unit<br />

Figure 4. Contd.<br />

Terminal Restriction Fragment<br />

Said et al. 5159<br />

25 UV pulses<br />

30 UV pulses


5160 Afr. J. Microbiol. Res.<br />

1.4<br />

1.2<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

Figure 5. Relative peak area of T-RFs of irradiated P. aeruginosa ATT15422 by an increasing<br />

number of PUV light.<br />

difference in terminal restriction fragment (T-RF) sizes;<br />

Indeed, all profiles consisted of identical and single T-RF<br />

nearly 148 pb (� 1pb); however, some of T-RF had<br />

different peak area. Relative peak area (RPA) was<br />

calculated in percentage by dividing peak signal<br />

determined for the irradiated bacteria by the total signal<br />

determined for the control test before UV irradiation<br />

(Urakawa et al., 2000). The measure of relative peak<br />

area or relative peak height was presented in Figure 4.<br />

The difference in “peak-profiles T-RFLP” was probably<br />

due to the interruption of PCR steps. This partial or<br />

complete interruption of PCR amplification was<br />

directlyrelated to the applied number of PUV light (Figure<br />

5).<br />

We can model the results of DNA-dosimeter<br />

determined by T-RFLP analysis according to Chick-<br />

Watson model with modification:<br />

RPAƮ/ RPAƮ0 = ACPD exp (- ki Ʈ) (2)<br />

With, RPAƮ0: RPA calculated at time zero before UV<br />

irradiation; RPAƮ: RPA calculated after irradiation by a<br />

number (Ʈ) of PUV light; ki: inhibition coefficient of a<br />

specific terminal restriction fragment (T-RF); and ACPD:<br />

photoproduct accumulation rate.<br />

T-RFLP technique was based on the determination of<br />

relative peak area of terminal restriction fragments (T-<br />

RFs) generated by a restriction enzyme after PCR step.<br />

For consequence, by T-RFLP analysis we can “zoom” the<br />

effects of PUV light on bacterial DNA.<br />

In addition, after irradiation by PUV light, there was a<br />

Y= 2.073e -0.58Ʈ<br />

R 2 = 0.969<br />

decrease of a relative peak area (RPAƮ) of the specific T-<br />

RF for irradiated DNA (Figures 4 and 5). For instance,<br />

after irradiation by 8 pulses UV light and inactivation of<br />

99.99% of viable and cultivable bacteria; the relative peak<br />

area of T-RF is equal to 64% compared to the relative<br />

peak area determined for P. aeruginosa at time zero<br />

before UV irradiation.<br />

Moreover, after 12 UV pulses; the RPAƮ (%) is equal to<br />

43% of the single T-RF comparing to RPAƮ0 at time zero<br />

before UV irradiation. According to the inactivation kinetic<br />

of tested bacteria (Figure 1), this applied dose allowed<br />

the loss of bacteria cultivability in usual media with<br />

subsequent reactivation.<br />

Also, the persistence of a specific T-RF despite the<br />

increasing irradiation by a PUV light shows a higher<br />

intrinsic resistance of studied P. aeruginosa against UV<br />

irradiation. The disappearance of T-RF was shown after<br />

30 UV pulses (Figure 4).<br />

The relatively abundance of bacteria in irradiated<br />

samples given by DNA-dosimetry results, strengthens the<br />

existence of different “bacterial viability form” among the<br />

same irradiated bacteria. Indeed, the single T-RF can<br />

include viable but non cultivable (VBNC) bacteria not yet<br />

reactivated, active but non cultivable (ABNC) bacteria<br />

and, VBNC-UV inactivated bacteria. This fact was not<br />

taken into consideration in the classical evaluation<br />

method.<br />

Accordingly, the application of DNA-dosimetry to<br />

estimate the effectiveness of UV disinfection and the<br />

relative abundance of bacteria before and after treatment<br />

of water was shown to be useful.


Conclusion<br />

The public health risk is thus not only a function of the<br />

abundance of the microorganism’s contaminants in<br />

water, but also of their capacity to survive in the receiving<br />

environments to maintain their virulence (Ben et al.,<br />

2010). It would be pertinent to take into consideration at<br />

the same time the effectiveness of the disinfection<br />

system process and to develop sensible techniques such<br />

as molecular methods in order to compare survival of the<br />

bacteria upstream and downstream the disinfection<br />

system and to study the infectivity and the virulence of<br />

the microorganisms treated by UV light (continuous UV<br />

radiation or PUV light).<br />

In addition, the DNA- dosimeter based approach<br />

presented is a promising tool for biological risk assessment<br />

during UV-based technical processes. It directly<br />

records the response of bacteria to UV radiation<br />

independently of cultivability in usual media.<br />

The DNA-dosimetry methods should be standardized to<br />

provide accurate estimation of water quality instead of<br />

bio-dosimetry which is based only on the determination of<br />

viable and cultivable bacteria after UV treatment.<br />

ACKNOWLEDGEMENTS<br />

This study was done with the collaboration of the<br />

Department of Urban Engineering in the University of<br />

Tokyo, and the Department of Water Supply Engineering<br />

in National Institute of Public Health (NIPH), Japan.<br />

REFERENCES<br />

Armisen TG, Servais P (2004). Enumeration of viable E. coli in rivers<br />

and wastewaters by fluorescent in situ hybridization. J. Microbiol.<br />

Meth., 58:269–279.<br />

Ben Said M, Masahiro O, Hassen A (2011). Use of lytic phage to control<br />

Salmonella typhi’s viability after irradiation by pulsed UV light. Ann.<br />

Microbiol., 62:107-11.<br />

Ben Said M, Masahiro O, Kasama S, Hassen A (2010). Detection of<br />

active Escherichia coli after irradiation by pulsed UV light using a Qβ<br />

phage. AJMR, 4 (11): 1128-1134.<br />

Bialka KL, Demirci A, Puri VM (2008). Modeling the inactivation of<br />

Escherichia coli O157:H7 and Salmonella enterica on raspberries<br />

and strawberries resulting from exposure to ozone or pulsed UV-light.<br />

J. Food Eng., 85(3):444–449.<br />

Douki T, Laporte G, Cadet J (2003). Inter-strand photoproducts are<br />

produced in high yield within A-DNA exposed to UVC radiation.<br />

Nucleic Acids Res., 31(12): 3134-3142.<br />

Hassen A, Mahrouk M, Ouzari H, Damelincourt J (2000). UV<br />

disinfection of treated waste water in a large-scale pilot plant and<br />

inactivation of selected bacteria in a laboratory UV devise. Elsevier<br />

science., J. Bite, 1464: 1-10.<br />

Said et al. 5161<br />

Kasuga I, Shimazaki D, Kunikune S (2007). Influence of backwashing<br />

on the microbial community in a biofilm developed on biological.<br />

Water Sci. Technol., 55 (8-9):173-80.<br />

MacGregor SJ, Rowan NJ, Macllvaney L, Anderson JG, Fouracre RA,<br />

Farish O (1998). Light inactivation of food-related pathogenic bacteria<br />

using a pulsed power source. Lett. Appl. Microbiol., 27:67–70.<br />

Pommepuy M, Butin M, Derrien A, Gourmelon M, Colwell RR, Cormier<br />

M (1996). Retention of enteropathogenicity by viable but<br />

nonculturable Escherichia coli exposed to seawater and sunlight.<br />

Appl. Environ. Microbiol., 62: 4621-4626.<br />

Rahn RO, Bolton JR, Goren E, Shaw PS, Lykke KR (2003). Quantum<br />

yield of the iodide-iodade chemical actinometer: dependence on<br />

wavelength and concentration. Photochem. Photobiol., 78:146–152.<br />

Rowan NJ, MacGregor SJ, Anderson JG, Fouracre RA, Macllvaney L,<br />

Farish O (1999). Pulsed-light inactivation of food-related<br />

microorganism. Appl. Environ. Microbiol., 65(3):1312–1315.<br />

Servais P, Prats J, Passerat J, Garcia-Armisen T (2009). Abundance of<br />

culturable versus viable Escherichia coli in freshwater. Canadian J.<br />

Microbiol., 55(7):905-909<br />

Sharifi-Yazdi MK, Darghahi H (2006). Inactivation of pathogenic<br />

bacteria using pulsed UV-light and its application in water<br />

disinfection. Acta. Med. Iran, 44:305–308.<br />

Takeshita K, Yamanaka H, Itoh M (2003). Damage of yeast cells<br />

induced by pulsed light irradiation. Int. J. Food Microbiol., 85:151–<br />

158.<br />

Urakawa H, Yoshida T, Nishimura M, Ohwada K (2000).<br />

Characterization of Depth-Related Population Variation in Microbial<br />

Communities of a Coastal Marine Sediment Using 16S rDNA-based<br />

Approaches and Quinone Profiling. Environ. Microbiol., 2(5):542-554.<br />

US-EPA (2003). UV disinfection guidance manual. EPA., 815-D-03-007.<br />

Zimmer JL, Slawson RM (2002). Potential repair of Escherichia coli<br />

DNA following exposure to UV radiation from both medium- and lowpressure<br />

UV sources used in drinking water treatment. Appl. Environ.<br />

Microbiol., 68: 3293-3299.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5162-5167, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.131<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

A survey of Enterobacteriaceae in hospital and<br />

community acquired infections among adults in a<br />

tertiary health institution in Southwestern Nigeria<br />

Hassan A. O. 1 , Hassan R. O. 2 , Muhibi M. A. 2 and Adebimpe W. O. 3 *<br />

1 Medical <strong>Microbiology</strong> Department LAUTECH Teaching Hospital Osogbo, Nigeria.<br />

2 Haematology Department LAUTECH Teaching Hospital Osogbo, Nigeria.<br />

3 Community Medicine Department Osun State University Osogbo, Nigeria.<br />

Accepted 17 May, 2012<br />

Hospital and community acquired infections, continue to be a threat to public health, causing<br />

morbidities and mortalities. This survey was carried out to determine the prevalence of<br />

Enterobacteriaceae in nosocomial and community acquired infections among adults in LAUTECH<br />

Teaching Hospital in Osogbo southwestern Nigeria. Two hundred and forty isolates from General Out<br />

Patient Department (GOPD) and two hundred and forty isolates from different wards (Surgical, Medical,<br />

Gyneacological, Pediatric, Burn Unit and Ear, Nose and Throat wards) of the hospital were collected.<br />

The bacterial strains were isolated from Cerebrospinal fluid (CSF), Urine, Pus, Ear swab, Blood, Sputum<br />

and Pleural fluid. The isolates were identified on the basis of standard microbiological and biochemical<br />

techniques as describe by Cowan and Steel. The incidence of Escherichia coli, Klebsiella pneumoniae,<br />

Proteus mirabilis, Proteus vulgaris, Enterobacter cloacae and Citrobacter freundii was studied<br />

according to their distribution among different wards and nosocomial patients, specimens and age<br />

groups of patients. Five genera belonging to the family of bacteria Enterobacteriaceae were isolated<br />

from 240 community acquired infections and hospital acquired infections in different wards according<br />

to different age groups in this study. E. coli were most frequent in all the specimens with 49.2 and<br />

47.5% for urine samples in community acquired and nosocomial infection respectively. Nosocomial<br />

infections are common with E. coli and K. pneumoniae causing a significant proportion of these<br />

community acquired infections.<br />

Key words: Enterobacteriacae, hospital acquired, community, tertiary health institution.<br />

INTRODUCTION<br />

Hospital and community acquired infections constitutes<br />

serious public health problem throughout the world<br />

causing morbidity and mortality. Hospital acquired<br />

infections are generally described as infection acquired<br />

during hospital care or stay which was not present or<br />

incubating at the time of admission. This is in contrast to<br />

community-acquired infections which are acquired<br />

anywhere other than in a healthcare facility, in settings<br />

*Corresponding author. E-mail: lekanadebimpe@yahoo.com,<br />

lekanadebimpe@gmail.com.<br />

such as schools, exercise facilities, or any place you<br />

come in contact with other people or with surfaces that<br />

have been contaminated (Somwant et al., 2007; Coffin<br />

and Zaoutis, 2008).<br />

Several studies have however, reported a prevalence<br />

of hospital acquired infections between 5 and 10%<br />

(Somwant et al., 2007; Olawale et al., 2011; Pittet et al.,<br />

2008). Escherichia, Klebsiella, Enterobacter, Serratia,<br />

Proteus and Citrobacter, genera are obligatory and<br />

opportunistic pathogens responsible for infections<br />

ranging from urinary tract, surgical wounds and lower<br />

respiratory tract infections (Mouton et al., 2001) among<br />

hospital acquired infections. Many species of these


general are members of the normal intestinal flora.<br />

Escherichia coli are the most common isolates reported<br />

from many hospital laboratories (Bello et al., 2005).<br />

Bacteremia is caused by Klebsiella, Enterobacter, and<br />

Serratia species and they are also frequently involved in<br />

infections with respiratory tract procedures, such as<br />

tracheostomy and manipulations using contaminated<br />

inhalation therapy equipments (Bello et al., 2005). Other<br />

organisms that are occasionally encountered in Urinary<br />

tract infections are Klebsiella, Enterobacter and Serratia<br />

species (Shah et al., 2002). E. coli causes approximately<br />

86% of urothrocystitis, about 8% of chronic bacterial<br />

prostatitis and up to 90% acute pyelonephritis (Guentzel,<br />

1995). Proteus species frequently cause infections of the<br />

urinary tract, surgical wounds and lower respiratory tract<br />

(Alli et al., 1998). Proteus mirabilis is believed to be the<br />

most common cause of infection – related kidney stones,<br />

which is one of the most serious complications of<br />

recurrent bacteriuria (Alli et al., 1998). Citrobacter freundii<br />

and C. diversus have been isolated predominantly as<br />

super infecting agents from urinary and respiratory tract<br />

infections. Citrobacter septicaemia may occur in patients<br />

with multiple predisposing factors; Citrobacter species<br />

also cause meningitis, septicemia and pulmonary<br />

infection in neonates and young children (Shah et al.,<br />

2002).<br />

In hospital acquired pneumonias, bacteria such as<br />

Pseudomonas aeruginosa, Enterobacter, Klebsiella<br />

pneumoniae, Escherichia coli, Serratia marcescens and<br />

Proteus species are the most frequently isolated<br />

pathogens causing nosocomial infections. Pathogenesis<br />

can be caused by aspiration or inhalation of aerosolized<br />

particles containing the bacteria. Colonization of the gram<br />

negative bacteria in the pharynx, increased gastric pH<br />

and contaminated equipment are the primary source of<br />

pathogenesis.<br />

In community acquired infections, the major cause of<br />

urinary tract infections is E. coli (Guentzel, 1995). It also<br />

account for majority of cases of prostatitis and<br />

pyelonephritis. Klebsiella, Proteus and Enterobacter<br />

species are also other common urinary tract pathogens<br />

(Alli et al., 1998). K. pneumoniae accounts for a small<br />

percentage of pneumonia cases, however, extensive<br />

damage produced by the organism results in high case<br />

fatality rates over 80% of untreated cases.<br />

Disturbance or eradication of the normal intestinal and<br />

body flora generally by antibiotic therapy may allow<br />

resistant nosocomial strains to overgrow (Alli et al.,<br />

1998). Nosocomial strains progressively colonize the<br />

intestine, pharynx or other organs with increase length of<br />

mobility and hospital stay. This may result into an<br />

increase risk of infections (Shah et al., 2002). The<br />

bacteria responsible for many common out patient<br />

infections too have developed resistant strains, which are<br />

posing new obstacles to effective therapy (Butler et al.,<br />

2001). The major sites of nosocomial infections, in order<br />

of decreasing frequency are the urinary tract, surgical<br />

sites, pneumonias (lung infection), and blood stream. The<br />

Hassan et al. 5163<br />

most incriminated premier nosocomial pathogen is E. coli<br />

(Guentzel, 1995).<br />

Nosocomial infections are a serious threat to all<br />

hospitalized patients and in particular to those who<br />

require endotracheal intubation and mechanical<br />

ventilation. Accurate diagnosis of pneumonia and correct<br />

identification of pathogens of great importance and<br />

should be achieved as quickly as possible to avoid<br />

prolonged hospitalization and increased risk of mortality<br />

(Shah et al., 2002). With better understanding and treatment<br />

of nosocomial infections, the risks of contracting<br />

nosocomial infections associated with these pathogens<br />

can be reduced to the nearest minimum if not eradicated.<br />

It is against this background that this study was designed<br />

to determine and analyze the prevalence of<br />

Enterobacteriaceae in relation to community and hospital<br />

acquired infections in wards, specimens and age of<br />

patients in LAUTECH Teaching Hospital Osogbo in<br />

Southwestern Nigeria.<br />

MATERIALS AND METHODS<br />

Study location<br />

This survey was carried out between July 2009 and June 2010 at<br />

the Medical <strong>Microbiology</strong> and Parasitology Department of<br />

LAUTECH Teaching Hospital Osogbo, Osun State, Nigeria, to find<br />

out the incidence of Enterobacteriaceae in community acquired and<br />

nosocomial infections.<br />

Selection of cases<br />

Some of the known risk factors for these hospital and acquired<br />

community infections include older age, long period of hospital stay,<br />

having invasive or manipulative procedures carried out, subjects<br />

staying in wards with traditionally high prevalence of nosocomial<br />

infections, long period on immunosuppressive drugs,<br />

immunosuppressive conditions, irrational use of antibiotics,<br />

improper hospital waste disposal and the absence of hospital<br />

implementation policy on infection control. This could form the basis<br />

for comparism of case selections. Two hundred and forty samples<br />

were collected from patients attending general outpatient<br />

department and another set of two hundred and forty bacterial<br />

samples were obtained from patients hospitalized in different wards<br />

of LAUTECH Teaching Hospital Osogbo. The nosocomial isolates<br />

were isolated from patients who had a minimum of 7 days in the<br />

hospital as described by Shah et al. (2002) prior to sample<br />

collection and the subjects must be free of infection at the time of<br />

hospital admission. Various samples collected from the patients like<br />

Blood, Cerebrospinal fluid (CSF), pus, sputum, urine, pleural fluid<br />

and peritoneal fluid were cultured for the presence of bacteria<br />

belonging to the family Enterobacteriaeae according to Shah et al.<br />

(2002).<br />

Reagents and cultural media<br />

Blood agar base, Cystein Lactose Electrolytes Deficiency (CLED)<br />

agar and Mac Conkey’s agar obtained from Oxoid Ltd. Basing<br />

stoke, Hamphire, England. Triple sugar iron agar, peptone water,<br />

motility, indole and gas (H2S) test medium, citrate test medium and<br />

urease test medium were obtained from Difco Laboratories, Detroit,<br />

Michigan, USA.


5164 Afr. J. Microbiol. Res.<br />

Table 1. Distribution of Nosocomial isolates in various specimens.<br />

Specimen<br />

Isolates<br />

Escherichia<br />

coli<br />

Klebsiella<br />

pneumoniae<br />

Enterobacter<br />

cloacae<br />

Proteus<br />

mirabilis<br />

Proteus<br />

vulgaris<br />

Citrobacter<br />

freundii<br />

CSF 03 04 00 00 00 00 07<br />

Blood 07 06 02 02 00 00 17<br />

Urine 76 30 8 12 10 08 144<br />

Pus and other fluids 32 20 10 04 04 02 72<br />

Total 118 60 20 18 14 10 240<br />

Culture of specimen<br />

All the samples were inoculated on blood agar and Mac Conkey’s<br />

agar except urine samples which were inoculated on CLED agar.<br />

Inoculated plates were in incubated at 37°C in ambie nt air for 16 –<br />

24 h as described by Cowan and Steel (1970).<br />

Identification of Isolates<br />

After overnight incubation, the culture plates were examined for<br />

growth. Identification was performed macroscopically and<br />

microscopically by using the standard microbiological and<br />

biochemical techniques (Cowan and Steel, 1970; Shal et al., 2002).<br />

These criteria were used in pathogens identification.<br />

Sensitivity testing of isolates<br />

All bacterial isolated were characterized by using the standard<br />

methods described by Pekarski (1989). Stokes disc diffusion agar<br />

method was employed for Antibiogram of isolates obtained. The<br />

antibiotics used include augumentin (30 µg), peflacine (30 µg),<br />

ceftriaxone (10 µg), cephalexin (10 µg), cotrimoxazole (25 µg),<br />

amoxicillin (25 µg), tetracycline (30 µg), nalidlic acid (30 µg)<br />

gentamycin (10 µg), erythromycin (5 µg) and nitrofurantoin (300<br />

µg).<br />

Data analysis<br />

Data was analyzed using the EPI Info software to generate<br />

frequency tables. The χ 2 (Chi-Square) test was used to determine<br />

significant relationship between relevant categorical variables at<br />

P≤0.05.<br />

RESULTS<br />

Distribution of 240 nosocomial isolates in various<br />

specimens was presented in Table 1. Urine samples<br />

accounted for 144 (60%) isolates, 72 (30%) isolates were<br />

obtained from pus and other aspirates, 17 (7.1%) from<br />

blood and the remaining 07 (2.9%) were obtained from<br />

Cerebrospinal fluid. E. coli was the most prevalent isolate<br />

118 (49.2%) which was statistically significant (p 0.05) and any observed difference<br />

was due to mere chance. The least recorded isolate is C.<br />

freundii with 9 isolates out of 240. Age group 60 and<br />

above had highest prevalence of 4 out of 9 (44.4%) while<br />

age group 18 – 40 years and 40 – 50 years had 1 out of 9<br />

(11.11%) each as the least prevalence rate in this study.<br />

From Table 3, a total of two hundred and forty isolates<br />

of Enterobacteriaceae were equally collected from out<br />

patient department during the study period. The highest<br />

number of isolates were obtained from urine which is 194<br />

out of 240 (47.5%), pus 42 of 240 (17.5%). 38 (15.8%)<br />

from ear swab, 19 (7.9%) from high vaginal swab, 13<br />

(5.4%) from blood and only 6 (2.5%) isolates from<br />

cerebrospinal fluid been the least.<br />

Among these isolates E. coli was the most abundant<br />

130 (54.2%), followed by K. pneumoniae 56 (23.3%). 18<br />

(7.5%) isolates of E. cloacae (7.5%), 16 P. mirabilis,<br />

(6.7%), 11 P. vulgaris (4.6%) and 9 isolates of C. fruendii<br />

(3.8%) were obtained from out door isolates. Among<br />

these 130 isolates, E. coli was most prevalent in urine 62<br />

out of 130 (47.7%), followed by 25 from pus (19.2%), 16<br />

from ear swab (12.3%), 9 (6.9%) from high vaginal swab<br />

(HVS) (6.9%), 10 from blood (7.7%), 5 from cerebrospinal<br />

fluid (CSF) (3.8%), and 3 from sputum (2.3%).<br />

Among these 240 isolates, 41 isolates were K.<br />

pneumoniae. This was most prevalent in urine 28, 7 are<br />

from pus, 8 from ear swab, 5 from HVS, 4 from sputum, 3<br />

from blood and only one from CSF. Urine samples have


Table 2. Distribution of Nosocomial Isolates in various species according to age group.<br />

Isolates<br />

Age group<br />

Hassan et al. 5165<br />

18 – 40 40 – 50 50 – 60 60 and above Total<br />

E. coli 28 25 30 35 118<br />

K. pneumonia 13 10 20 17 60<br />

E. cloacae 04 05 06 05 20<br />

P. mirabilis 05 03 06 04 18<br />

P. vulgaris 03 02 05 04 14<br />

Cit. freundii 02 01 04 03 10<br />

Total 55 46 71 68 240<br />

E: Escherichia; K: Klebsiella; Ent: Enterobacter P: Proteus; Cit: Citrobacter. P


5166 Afr. J. Microbiol. Res.<br />

Table 5. Antibiotic susceptibility pattern of baterial isolates.<br />

Antibiotic<br />

E. coli K. pneumonia<br />

Percentage sensitivity<br />

Ent. cloacae P. mirabilis P. vulgaris Cit. freundii<br />

Ofloxacine 100 85 86 100 100 100<br />

Peflacine 100 72 85 100 100 100<br />

Ceftriaxone 100 100 100 100 100 100<br />

Gentamycin 80 81 76 60 80 80<br />

Amoxycillin 18 40 98 75 18 18<br />

Cephalexin 98 97 100 100 98 98<br />

Cotrimoxazone 0 20 62 0 0 0<br />

Tetracycline 0 0 18 7 0 0<br />

Nalidixic acid 0 0 10 0 0 0<br />

Nitrofurantoin 25 0 50 80<br />

Erythromycin 0 0 42 0<br />

bacteriaceae were isolated from 240 each of hospital<br />

acquired infections and community acquired infections in<br />

different wards according to different age groups in a<br />

tertiary health hospital in south western Nigeria.<br />

The bacteria were isolated from urine, pus, blood, high<br />

vaginal swab, CSF, sputum and ear swabs. It was shown<br />

that E. coli were most frequent in all the specimens with<br />

49.2 and 47.5% for urine samples in community acquired<br />

and nosocomial infection respectively. The age group 60<br />

years and above in both cases of nosocomial and<br />

community acquired infections recorded E. coli as most<br />

abundant organism. This result varied with work of Shah<br />

et al. (2002) that recorded E. coli as highest in the age<br />

group 50-60 years. In accordance with another work<br />

(Mouton et al., 2001), who recorded E. coli in 65 years<br />

and above as cause of both nosocomial and community<br />

acquired infections.<br />

In the period 1988-1993, after E. coli, Klebsiella was<br />

the leading cause of Gram-negative bacteraemia, from 6-<br />

7% in the late 1980s to 12-13% in more recent years.<br />

Urinary tract infection was the underlying source of 58%<br />

of community-acquired Klebsiella bacteraemia as against<br />

28% of hospital-acquired Klebsiella bacteraemia (Butler<br />

et al., 2001). There are many of these infections in the<br />

community that are different from those reported in<br />

studies on K. pnemoniae bacteremia from referral centers<br />

(Haddy et al., 1989). Urinary tract infections (25.6%) were<br />

the main types of infection in the cancer patients in<br />

oncology intensive care unit according to Velasco et al.<br />

(1997). The most common organisms isolated were from<br />

Entrobacteriaceae (29.7%). This increased incidence of<br />

Enterobacteriaceae in urine could be due to the<br />

indwelling urinary catherter, and central vainous<br />

catheters used for patients. Klebsiella spp 9.1% and P.<br />

mirabilis 4.9% were responsible for the risk of nosocomial<br />

bacteria transmission during ultrasound scanning in<br />

LAUTECH Teaching Hospital Osogbo in a survey in 2005<br />

(Bello et al., 2005).<br />

In medical, surgical and intensive care wards of Swiss<br />

University hospital, surgical site infections were most<br />

prevalent (30% of all nosocomial), followed by urinary<br />

tract infections according to a survey in May 1996<br />

(Harbarth et al., 1999). The most frequently isolated<br />

organism were Enterobacteriaceae (Harbarth et al.,<br />

1999). Nosocomial infections are considered as a heavy<br />

burden on health services. A total of 240 isolates were<br />

obtained from subjects belonging to different age groups.<br />

Most of the nosocomial isolates were obtained from age<br />

group 50-60 years with (29.6%) while most of the<br />

community acquired isolates were from age group 60<br />

years and above with (31.7%).<br />

E. coli was most prevalent organism (24.6%) in the age<br />

groups 50-60 for nosocomial infection and 60 and above<br />

community acquired infection respectively (15.8%). In the<br />

current study, 130 out of 240 isolates were E. coli 62 of<br />

130 (54.2%). E. coli were obtained from urine in cases of<br />

community acquired infections accounting for (47.6%) in<br />

all age groups. It was observed by Alli et al. (1998) that<br />

30% of all blood stream infections were found in patients<br />

over 50 years and that 65% of these were cause by<br />

gram-negative organisms, these results are similar to the<br />

findings of the present study. Prevention of infections,<br />

particularly those that are hospital acquired, is difficult<br />

and may be impossible. Sewage treatment, water<br />

purification, proper hygiene, and other control methods<br />

for enteric pathogens will reduce the incidence of E. coli<br />

and other entero-pathogens of Enterobacteriaceae.<br />

However, these control measures are rarely available in<br />

less developed regions of the world like Nigeria. All<br />

hospital staff both Clinical and non Clinical can do much<br />

to reduce nosocomial infections through identification and<br />

control of predisposing factors, education and training of<br />

hospital personnel, and adequate microbial surveillance.<br />

Observance of standard procedures and use of aseptic<br />

conditions for all medical interventions will go a long way<br />

in control of hospital acquired infection.<br />

This study of infection rates provides specific<br />

surveillance data for further inter hospital comparisons


and also to assess the influence of invasive medical<br />

interventions, thus allowing for the implementation of<br />

preventable measures to control infections. Education of<br />

staff regarding pathogenesis, diagnosis, and appropriate<br />

intervention needed for nosocomial infections is essential<br />

to its control and prevention (Shah et al., 2002). Also<br />

essential is the evaluation and alteration if needed, of<br />

policies and procedures to better provide control and<br />

prevention of nosocomial infections.<br />

ACKNOWLEDGEMENT<br />

Authors wish to thank the management of LAUTECH<br />

Teaching Hospital Osogbo in southwestern Nigeria and<br />

the Head of Department of microbiology and<br />

parasitological for their cooperation and express<br />

permission to carry out this review.<br />

REFERENCES<br />

Alli M, Elbashier MD, Malik AG, Khot AP (1998). Blood Stream<br />

Infections Micro organisms, Risk Factors and Mortality Rate in Qatif<br />

Central Hospital. Saudi Med., 18(2): 172-176.<br />

Bello TO, Taiwo SS, Oparinde DP, Hassan WO, Amure JO (2005). Risk<br />

of Nosocomial Bacterial Transmission: Evaluation of cleaning<br />

methods of probes used for routine Ultrasonography. West Afr. J.<br />

Med., 24(2): 167-170.<br />

Butler KH, Reed C, Bosker G (2001). New Diagnostic Modalities,<br />

Alteration of Drug Resistance Patterns and Current Antimicrobial<br />

Treatment Guild lines for the Hospital and out Patient Settings in:<br />

Clinical Consensus Report: Urinary Tract Infection.<br />

Coffin SE, Zaoutis TE (2008). Healthcare-Associated Infections. In:<br />

Long SS, Pickering LK, Prober CG. Principles and Practice of<br />

Pediatric Infectious Diseases. 3 rd ed. Churchill Livingstone; p. 101.<br />

Mouton CP, Baza Idua OU, Pierce B, Espino DV (2001). Common<br />

Infections in older adults. Am. J. Fam. Phys., 2: 257-276.<br />

Cowan SF, Steel KJ (1970). Manual for the Identification of the Medical<br />

Microorganism. Cambridge: Cambridge University Press: pp. 7-122<br />

Guentzel MN (1995). Escherichia, Klebsiella, Enterobacter, Serratia,<br />

Citrobacter and Proteus. General Concepts Clinical Manifestations,<br />

20(3): 275-282.<br />

Haddy RI, Kee M, Sangal GM, Walbroehl GS, Hambrick CS, Sarti GM<br />

(1989). Klebsiella Pneumoniae bacteremia in the Community<br />

Hospital. J. Fam. Pract., 28(6): 686-690.<br />

Hassan et al. 5167<br />

Harbarth S, Ruef C, Francioli P, Widmer A, Pittet D (1999). Nosocomial<br />

Infections in Swiss Hospitals: a Multi-Centre Survey and Review of<br />

the Published Experience Swiss- Noso Network Schweiz Med.<br />

Wochenschr, 23; 129(42): 152.<br />

Olawale KO, Fadiora SO, Taiwo SS (2011). Prevalence of hospitalacquired<br />

Enterococci infections in two Primary-care hospitals in<br />

Osogbo, Southwestern Nigeria. Afr. J. Infectious Dis., 5(2): 16-22.<br />

Pekarski E (1989). In “Medical Parasitology” Springer – Verlag Berlin,<br />

Berlin Heidelberg. pp. 168-169.<br />

Pittet D, Hugonnet S, Harbarth S, Mourouga P, Sauvan V, Touveneau S<br />

Perneger TV (2000). Effectiveness of a hospital wide programme to<br />

improve compliance with hand hygiene. Lancet, 356: 1307–1311.<br />

Shah AA, Hasan F, Hameed A (2002). Study on the Prevalence of<br />

Enterobacteriacae in Hospital Acquired and Community Acquired<br />

Infections. Pak J. Med. Res., 41(1):1-7.<br />

Somwang D, Tepnimit J, Siriporn S, Kakanang N, Tanarak P (2007).<br />

Prevalence of Nosocomial Infection in Thailand 2006. J. Med. Assoc.<br />

Thai., 90(8): 1524-1529.<br />

Velasco E, Thuler LC, Martins CA, Dias LM, Goncalves VM (1997).<br />

Nosocomial Infections in an Oncology Intensive care unit. Am. J.<br />

Infection Control, 25(6): 458-62.<br />

Yinnon AM, Butnaru A, Raveh D, Jerassy Z, Rudensky B (1996).<br />

Klebsiella Bacteraemia: Community Versus Nosocomial Infection. Q<br />

J. Med., 89(12): 933-941.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5168-5172, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.205<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Investigation of genetic variability among different<br />

isolates of Fusarium solani<br />

Uzma Bashir*, Sidra Javed and Muhammad Shafiq<br />

Institute of Agricultural Sciences, University of the Punjab, Quaid-e-Azam Campus Lahore, Pakistan.<br />

Accepted 26 March, 2012<br />

Fusarium solani (Mart). Sacc. is an important wilt causing pathogenic fungi. Plant diseases have caused<br />

severe losses to human beings. In the present investigation five different isolates of F. solani were<br />

subjected to genetic variability analysis in terms of DNA-polymorphism using RAPD-PCR. F. solani<br />

isolate V3 (Lycopersicum esculentum Mill.) and V5 (Solanum melongena L.) showed 78.2% similarity.<br />

Sequences of isolates V1 (Lense esculentum L.) and V 2 (Acacia sp.) were 74.2% similar. Isolates (V1 and<br />

V2) and (V3 and V5) also show 65.5% similarities among their sequences. Whereas isolate V4 (Gladiolus<br />

sp.) gives 70.3% similar results. Genetic variability pattern among isolates of F. solani were also<br />

supported by UPGMA dendrogram and percentage similarity table.<br />

Key words: Acacia sp. Fusarium solani, Gladiolus sp. Lens esculenta, Lycopersicum esculentum, RAPD-PCR<br />

Solanum melongena.<br />

INTRODUCTION<br />

Vegetables play a significant role in human nutrition,<br />

especially as sources of vitamins, minerals, and dietary<br />

fiber (Wargovich, 2000). Egg plant is economically<br />

important vegetable crop in Asia and Africa, and although<br />

it is also grown in Europe and the United States. The<br />

global area under brinjal cultivation has been estimated<br />

at 1.85 million ha with total production of brinjal fruit of<br />

about 32 million. Brinjal is grown over 8670 hectare area<br />

throughout Pakistan with the annual production of 91260<br />

tones, out of which the Punjab, Province has the highest<br />

share in terms of area of sowing (4890 ha) and<br />

production, 60890 tons (Anonymous, 2007). Among the<br />

many diseases that attack the brinjal crop, wilt is major<br />

damaging disease that causes the severe yield losses.<br />

The pathogen can survive in the soil for many years<br />

(Babu et al., 2008). Fusarium Wilt is due to the species<br />

Fusarium solani. Disease symptoms are often helpful in<br />

making decisions, but a definitive diagnosis requires clear<br />

identification of pathogen so in order to apply appropriate<br />

*Corresponding author. E-mail: uzmamppl@yahoo.com.<br />

controls, it is extremely important to make an accurate<br />

and timely diagnosis of plant diseases (Frederick et al.,<br />

2000). Molecular techniques are important tools in<br />

solving the problems of species restriction and also<br />

provide alternative methods for taxonomic studies<br />

(MacLean et al., 1993). In the last years characterizations<br />

of plant genetic resources based on molecular markers<br />

have been increased. Studies using a broad range of<br />

markers applied on hundreds of plant species are the<br />

theoretical basis for understanding genetic diversity to<br />

propose both breeding and conservation strategies<br />

(Laurentin, 2009). Polymerase chain reaction can be<br />

applied to measure responses of experimental stimuli<br />

and to gain knowledge of potential changes in protein<br />

level and function (Mark et al., 2005). The development<br />

and application of molecular diagnostic methods have<br />

made it possible to study plant diseases with the help of<br />

new technologies (McCartney et al., 2003). RAPD has<br />

been used widely for the detection of genetic variability in<br />

plants because of its simplicity and lack of need for any<br />

prior information about the genetic material of plant.<br />

RAPD patterns remains constant in plant whether it is<br />

young or old (Welsh and McClelland, 1990; Micheli et al.,


Table 1. List of decamers used in RAPD.<br />

Serial No. Primer designation Primer sequence<br />

1 RAPD 1 3΄ AGGGGTCTTG 5΄<br />

2 RAPD2 3΄ AATCGGGCTG 5΄<br />

3 RAPD 3 3΄ CAGGCCCTTC 5΄<br />

1994). This technique has also been reported very useful<br />

for identification and genotyping of ornamental as well as<br />

of many other varieties (Temiesak et al., 1993).<br />

According to McClelland and Welsh, (1994) high quality<br />

templates should be used to assure reproducible RAPDs.<br />

RAPD markers were also used by Katherine et al. (2003)<br />

to examine the degree of genetic variation within the<br />

putatively asexual basidiomycetes fungus (lepiotaceae).<br />

Due to simplicity of this process RAPD is used as<br />

molecular markers for taxonomic and systematic analysis<br />

of plants and is used widely in plant breeding and genetic<br />

relationships (Bartish et al., 2000). RAPD fingerprinting<br />

method can be used for studying phenotypically similar<br />

Candida strains according to molecular era (Steffan et al.,<br />

1997) and this technique is more accurate and rapid for<br />

the identification of Candiada species (Rocha et al.,<br />

2008). Recently RAPD has been used widely for<br />

estimation of genetic material of many endangered plants<br />

(Zheng et al., 2008).<br />

MATERIALS AND METHODS<br />

Molecular characterization of Fusarium species<br />

Genetic similarity among five different isolates of F. solani was<br />

examined. Four samples were obtained from FCBP (First Fungal<br />

Culture Bank of Pakistan IAGS University of The Punjab Lahore)<br />

and one sample was isolated from Solanum melongena plant.<br />

Fungal cultures were further purified as a single spore culture on<br />

Malt Extract Agar (MEA) plates by single spore isolation technique<br />

(Choi et al., 1999) and incubated at 27˚C ± 2°C. After 2 weeks<br />

fungal colony was removed from the Petri plate by scratching the<br />

surface with a sterilized needle and then placed in the (Pre-chilled<br />

at -80°C) sterilized mortar. Fungal tissues were ground with liquid<br />

nitrogen to form a fine powder with the help of a pestle. Fungal<br />

DNA was extracted by using the CTAB method described by Doyle<br />

and Doyle (1990) with some modifications.<br />

DNA quality analysis<br />

The target fungal genomic DNA was isolated by doing 1% agarose<br />

gel electrophoresis. To 70 ml of 0.5 × TAE buffer(10ml 50 × TAE,<br />

990ml distilled water) 0.7 g of agarose was added and subjected to<br />

heat in a microwave oven until a clear, transparent solution was<br />

obtained. After cooling for about 5 min, 2 μL of ethidium<br />

bromide(EtBr) was added from 10 mg/ml stock solution (0.2 g EtBr<br />

in 20ml ddH2O) in the melted gel. The melted agarose was poured<br />

into a flat bed gel tray and comb was inserted. The gel was allowed<br />

to solidify completely at room temperature. Then comb was<br />

carefully removed and gel tray was placed in the electrophoresis<br />

tank containing 0.5 × TAE buffer.DNA samples and the DNA<br />

standard marker were loaded into the wells of the solidified gel<br />

Bashir et al. 5169<br />

submerged in 0.5 × TAE buffer. Gel electrophoresis was carried out<br />

at 100 volts for about 40 min. The DNA bands in the gel were<br />

visualized using UV transilluminatior and photographed by using gel<br />

documentation system (Wise Doc MUV-M2O).<br />

RAPD analysis (random amplification of polymorphic DNA)<br />

Each of the five fungal DNA extract was amplified with three<br />

different decamer primers. In order to determine genetic variability<br />

among different isolates of Fusarium solani RAPD technique was<br />

applied. PCR amplification involved the following steps.<br />

Primer screening<br />

In RAPD analysis 3 primers (decamers) were used. Table 1 show<br />

the decamers used in RAPD.<br />

Reactions for RAPD-PCR<br />

PCR tube contains 25 μL RAPD reaction mixture; which is<br />

composed of 0.5 μL Taq Polymerase, 2.5 μL PCR Buffer, 2.0 μL<br />

MgCl2, 5.0 μL dNTPs, 5.0 μL Primer, 5.0 μL Template DNA, 8.0 μL,<br />

Double distilled deionized water. All the chemicals were placed in<br />

ice under sterile conditions.<br />

Conditions of RAPD-PCR<br />

Polymerase chain reaction (PCR) tubes containing the reaction<br />

mixture were placed in the PCR machine. Machine was<br />

programmed under the following conditions of temperature. The<br />

initial process of denaturation was done at 94°C for 5 min followed<br />

by 40 cycles of denaturation at 94°C for 1 min, annealing was done<br />

at 40°C for 1 min and final extension for 10 min at 72°C.<br />

Termination of reaction was done at 22°C. Until further analysis on<br />

agarose gel the amplified products were stored at 4°C.<br />

Amplified DNA fragment analysis<br />

RAPD sample (25 μL) was mixed with 3 μL of loading dye and the<br />

mixture was then loaded in the wells of 1% agarose gel.<br />

Electrophoresis was carried out same as described earlier for<br />

genomic DNA. Bands were visualized through the documentation<br />

system [Wise Doc MUV-M20] and were recorded. The number of<br />

amplified DNA bands for each Fusarium isolate was recorded along<br />

with their sizes. According to genetic similarities and differences F.<br />

solani isolates were grouped in different clusters.<br />

RESULTS<br />

RAPD markers were used to examine the degree of<br />

genetic variation within the isolates of Fusarium solani.<br />

The accession numbers of fungal isolates are given in<br />

Table 2. Initially three random decamer primers were<br />

chosen in order to generate RAPD profile of the five<br />

fungal isolates, RAPD primers were selected for the<br />

further studies as it produced consistent and reproducible<br />

bands for all of the fungal isolates. The results of primer<br />

(RAPD 3 primer) are shown in Figure 1. Number of<br />

shared RAPD bands was compared between each pair of<br />

isolates to quantify the similarity between fungal isolate.


5170 Afr. J. Microbiol. Res.<br />

Table 2. Serial and accession numbers of Isolates obtained from FCBP.<br />

Serial No. Accession No Isolation source<br />

1 136 Lense esculenta<br />

2 438 Acacia<br />

3 443 Lycopersicum esculentum<br />

4 277 Gladiolus<br />

5 1127 Solanum melongena<br />

UPGMA<br />

64 70 76<br />

82 88 94 100<br />

Percent similarity<br />

Figure 1. Dendrogram showing different isolates of Fusarium solani.<br />

Table 3. Percentage similarity among different isolates of Fusarium solani.<br />

Node Group 1 Group 2 Percentage similarity (%) Objects in group<br />

1 L. esculentum S. melongena 78.261 2<br />

2 L. esculenta Acacia 74.286 2<br />

3 Node 2 Gladiolus 70.370 3<br />

4 Node 3 Node 1 65.536 5<br />

Data was recorded and used to generate a Phylogenetic<br />

tree using Multivariate Statistical Package, ver 3. (MVSP<br />

3.0). The percentage similarity of F. solani isolates are<br />

shown in Table 3.<br />

It is evident from the dendrogram that F. solani isolate<br />

V3 (Lycopersicum esculentum) is closer to V5 (Solenum<br />

melongena) isolate of F. solani and they have the highest<br />

percentage similarity that is 78.2% and occupy the node<br />

position 1. Similarly V1 (Lense esculenta) and V2<br />

(Acacia) occupied second position on the node and<br />

showed the 74.2% similarity in their sequences (Table 3).<br />

Node 2 is occupied by V4 (Gladiolus) and shared 70.3%<br />

of its rapid bands. Some similarities were also observed<br />

in the isolates present on node 3 (V1 and V2) and node 1<br />

(V3 and V5). Both of them share 65.5% similarity.<br />

DISCUSSION<br />

In this study, the suitability of RAPD techniques for<br />

molecular characterization of F. solani isolates, isolated<br />

from different sources, was observed. It was observed<br />

that RAPD 3 marker provide clear polymorphism and<br />

provide profiles which differed markedly between isolates<br />

of F. solani from different plant host and this further<br />

revealed polymorphism with reference to different<br />

isolates of Fusarium solani (Figure 2), and established<br />

DNA fingerprints which is useful for genetic


Figure 2. RAPD profile of Fusarium solani by using decamer<br />

RAPD 3. The size of DNA was compared with 1.0 kb DNA ladder<br />

(L).<br />

characterization and specific identification of F. solani<br />

isolates from other different host plants. According to<br />

Goodwin et al. (2001) and Sunnucks (2000) the genetic<br />

diversity of some Penicillium species was reported by<br />

random amplified polymorphic DNA. The use of RAPD<br />

markers was also reported by Pitt (1973) for molecular<br />

characterization of 10 Penicillium species. It is evident<br />

from the present study that F. solani isolated from L.<br />

esculentum is closer to F. solani which was isolated from<br />

S. melongena as they share 78.2% similarity which is the<br />

highest percentage among all the other isolates. Similarly<br />

Lense esculenta and Acacia showed 74.2% similarity in<br />

their sequences. 65.5% similarity was also observed<br />

among the isolates present on node 3 (L. esculenta and<br />

Acacia) and node 1 (L. esculentum and S. melongena).<br />

So it was concluded from the study that isolate of F.<br />

solani isolated from Gladiolus differs from all the four<br />

isolates of F. solani as it does not show similarity with any<br />

of the isolate. Fusarium species usually require time<br />

consuming and lengthy pathogenicity and vegetative<br />

compatibility analysis (Williams et al., 1990). Therefore<br />

RAPD analysis has been used widely among<br />

phytopathogenic fungi including Fusarium species for<br />

their detection and genetic characterization (Kim et al.,<br />

1993; Miller, 1996; Gulino et al., 2003). Thirty isolates of<br />

Pestalotiopsis and two isolates of Bartalinia robillardoides<br />

were genotypically compared by RAPD techniques and<br />

241 reproducible polymorphic bands were obtained using<br />

23 random primers (Tejesvi et al., 2007). By using RAPD<br />

analysis, population of Fusarium spp. from different plant<br />

hosts have been grouped and recommended by various<br />

workers that RAPD markers could be a quick and reliable<br />

alternative for different isolates of Fusarium sp. (Hyun<br />

and Clark, 1998; Ibrahim and Nirenberg, 2000; Jana et<br />

al., 2003).<br />

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Bartish V, Garkawo LP, Rumpunen K, Nybom H (2000). Phylogenetic<br />

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Goodwin SB, Dunkle LD, Zismann VL (2001). Phylogenetic Analysis of<br />

Cercospora and Mycosphaerella Based on the Internal Transcribed<br />

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strains of Fusarium wilt of cotton-8 th International Congress of Plant<br />

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Hyun JW, Clark CA (1998). Analysis of Fusarium lateritium using RAPD<br />

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Katherine RD, Doherty EW, Erica WZ, Nels CE, Mark JM, Stephan GZ<br />

(2003). Random amplified polymorphic DNA markers reveal genetic<br />

variation in the symbiotic fungus of leaf cutting ants. Mycologia, 95:<br />

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among formae specials of Fusarium oxysporum in the cucurbitaceae.<br />

Phytopathol., 83: 91-97.<br />

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MaClean DJ, Braithwaite KS, Manners JM, Irwing JAG (1993). How do<br />

we identify and classify fungal pathogens in the era of DNA analysis?<br />

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physiol. ed., 29: 151-159.<br />

McCartney HA, Foster SJ, Fraaije BA, Ward E (2003). Molecular<br />

diagnostics for fungal plant pathogens. Pest Manag. Sci., 59: 129–<br />

142.<br />

McClelland M, Welsh J (1994). DNA fingerprinting by arbitrarily primed<br />

PCR. PCR Meth. Appl., 4: 59-65.<br />

Micheli MR, Bova R, Pascale E, Ambrosio E (1994). Reproducible DNA<br />

fingerprinting with the random amplified Polymorphic DNA (RAPD)<br />

method. Nucleic Acid Res., 22: 1921-1922.<br />

Miller SA (1996). Detecting propagules of plant pathogenic fungi. Adv.<br />

Bot. Res., 23: 73-102.<br />

Pitt JI (1973). Appraisal of Identification Methods for Penicillium<br />

species: Novel Taxonomic Criteria Based on Temperature and Water<br />

Relations. Mycologia, 65: 1135-1157.<br />

Rocha BA, Negro GM, Yamamoto L, Souza MV, Precioso AR, Okay TS<br />

(2008). Identification and differentiation of Candida species from<br />

pediatric patients by random amplified polymorphic DNA. Rev. Soc.<br />

Bras. Med. Trop., 41: 1-5.<br />

Steffan P, Vazquez JA, Boikov D, Xu C, Sobel JD, Akins RA (1997).<br />

Identification of Candida species by randomly amplified polymorphic<br />

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Sunnucks P (2000). Efficient Genetic Markers for Population Biology.<br />

Trends Ecol. Evol., 15: 199-203.


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Tejesvi MV, Kini KR, Parkash HS, Ven S, Shetty HS (2007). Genetic<br />

diversity and antifungal activity of species of Pestalotiopsis isolated<br />

as endophytes from medicinal plants. Fungal Div., 24: 37-54.<br />

Temiesak P, Ponpim Y, Harada T (1993). RAPD analysis for varietal<br />

identification in Brassica. Kasetsart J. Nat. Sci., 27: 37-42.<br />

Wargovich MJ (2000). Anticancer properties of fruits and vegetables. J.<br />

Hortic. Sci., 35: 573-575.<br />

Welsh J, McClelland M (1990). Finger printing Genomes using PCR<br />

with arbitrary primers. Nucleic acid Res., 18: 7213-7218.<br />

Williams JK, Kubelik AR, Livak KJ, Rafalski JA, Tingey SV (1990). DNA<br />

polymorphism amplified by arbitrary primers are useful as genetic<br />

markers. Nucleic Acid Res., 18: 6531-6535.<br />

Zheng W, Wang LM, Liu L (2008). Genetic variation in the endangered<br />

Anisodus tanguticus (Solanaceae), an alpine perennial endemic to<br />

the Qinghai-Tibetan Plateau. Genetica, 132: 123-129.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24) pp. 5173-5178, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.647<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Stenotrophomonas koreensis a novel biosurfactant<br />

producer for abatement of heavy metals from the<br />

environment<br />

Patil S. N. 1 *, Aglave B. A. 2 , Pethkar A. V. 1 and Gaikwad V. B. 1<br />

1 Department of Biotechnology, KTHM College, Nashik-422002 M.S., India.<br />

2 Post Doctoral Scientist, Florida Ag <strong>Research</strong> - Pacific Ag Group, 13138, Lewis Gallagher Road, Dover,<br />

Florida-33527, USA.<br />

Accepted 30 May, 2012<br />

The removal of heavy metal contaminants from the environment is one of the potential areas in which<br />

the usefulness of biosurfactants has not been thoroughly explored. The molecular nature of<br />

biosurfactants offers the possibility of interaction with the metals in solution, aiding in their subsequent<br />

removal and/or recovery. In the present research work, a systematic isolation and screening program<br />

was undertaken for obtaining biosurfactant-producing bacteria. A total of 129 isolates were screened<br />

and three bacterial isolates were selected for high surface tension reducing ability. Pseudomonas<br />

aeruginosa, Stenotrophomonas koreensis (Strain DX1 16S ribosomal RNA gene, partial sequence NCBI<br />

Acc. No. GQ 493998 BankIt 1255714) and Rhodococcus spp isolates were identified by routine<br />

microbiological tests, API-32 and 16s rRNA profiling. The surface tension reduction of MS medium for<br />

the three isolates was: P. aeruginosa, 62.3 to 31.6 dynes/cm; S. koreensis, 62.4 to 27.8 dynes/cm; in 24<br />

to 30 h for both organisms and Rhodococcus spp, 64.4 to 43.7 dynes/cm in a period of 48 h. The<br />

emulsification index for all three isolates was 100% in diesel, petrol, toluene and sunflower oil. The<br />

ability of S. koreensis to remove heavy metal ions from solutions was explored. More than 30% of lead<br />

and cadmium ions were removed from 200 ppm metal solutions.<br />

Key words: Biosurfactant, Stenotrophomonas koreensis, surface tension, heavy metals, lead, cadmium.<br />

INTRODUCTION<br />

Surfactants are amphipathic molecules consisting of both<br />

hydrophilic and hydrophobic moieties that partition<br />

preferentially at the interface between fluid phases having<br />

different degrees of polarities and hydrogen bonding eg.<br />

oil and water or air and water interfaces (Benincasa et al.,<br />

2001; Bodour et al., 2003). Synthetic surfactants used to<br />

increase contaminant solubility are often toxic,<br />

representing an additional source of contamination<br />

(Bodour and Miller-Maier, 1998). Microbially produced<br />

surface active compounds that is, biosurfactants have<br />

similar properties as that of chemical surfactants, but are<br />

less toxic, biodegradable and can be produced in situ at<br />

*Corresponding author. E-mail: suchetapatil27@gmail.com.<br />

the contaminated site (Bonglo, 1998; Bordoloi and<br />

Konwar, 2007). These molecules reduce surface tension,<br />

critical micelle concentration and interfacial tension in<br />

both aqueous solutions and hydrocarbon mixtures (Bosch<br />

et al., 1988). Biosurfactants have gained increased<br />

attention because of their ability to be produced from<br />

cheap raw materials and effectiveness in extreme<br />

conditions of temperature, pH and salinity (Cha, 2000;<br />

Das and Mukherjee, 2007). The properties of the various<br />

biosurfactants have been extensively reviewed (Desai<br />

and Banat, 1997; Muthusamy et al., 2008).<br />

Most microbial surfactants are complex molecules<br />

comprising a wide variety of chemical structures such as<br />

glycolipids, lipopeptides, fatty acids, polysaccharideprotein<br />

complexes, phospholipids and neutral lipids.<br />

Rhamnolipidsproduced by Pseudomonas aeruginosa is a


5174 Afr. J. Microbiol. Res.<br />

major class of biosurfactants and extensively studied by<br />

investigators (Desai et al., 1994; Harman and<br />

Artiola,1995; Kosaric, 2000). Due to the diverse synthetic<br />

capabilities of microorganisms, it is not surprising that a<br />

large variety of biosurfactants and novel compounds are<br />

produced by them, providing new possibilities for<br />

industrial applications (Lang and Wullbbrandt, 1999;<br />

Banat et al., 2010). Thus, there is an increasing interest<br />

in the possible use of biosurfactant in mobilizing heavy<br />

crude oil, transporting petroleum in pipe lines, managing<br />

oil spills, biodegradation of hydrocarbons in the soil,<br />

removal of heavy metals, production of detergents, agroindustries<br />

and in the manufacture of pharmaceutical<br />

products (Banat et al., 2010; Franzetti et al., 2010;<br />

Plociniczac et al., 2011). A lot of research efforts are<br />

directed towards the isolation of organisms that produce<br />

biosurfactants, since the biosurfactants offer the<br />

possibility of large scale manufacture at low operating<br />

costs. Hence, in the present investigations, efforts were<br />

undertaken in order to employ a systematic isolation and<br />

screening program for biosurfactant producers and<br />

attempts were made for the isolation of novel organisms<br />

that could offer better solutions to the current industrial<br />

problems. In earlier investigations, although biologically<br />

produced surfactants have been projected as useful<br />

chemicals for many applications, there are few reports<br />

about the uses in heavy metal removal. Therefore,<br />

attempts were made to explore if biosurfactant producing<br />

organisms could be used for heavy metal<br />

removal/recovery.<br />

The present work was aimed at the isolation and<br />

screening for biosurfactant producing microorganisms<br />

from hydrocarbon contaminated soil and crude oil<br />

samples. The development of a systematic screening<br />

program and screening methodology was also one of the<br />

primary aims of the work, since some screening tests are<br />

prone to errors in the selection. Another objective was to<br />

indentify and characterize organisms, especially if novel<br />

strains were isolated in the screening work. Finally, the<br />

possibility of using biosurfactant producers for<br />

remediation of heavy metal contamination was explored.<br />

MATERIALS AND METHODS<br />

Isolation of bacteria<br />

Soil samples contaminated with petroleum and its products were<br />

collected from eastern Maharashtra region at Jawaharlal Nehru Port<br />

Trust, Navi Mumbai and oil contaminated sites in north Maharashtra<br />

region. Samples were inoculated in 100 ml of mineral salts medium<br />

(MSM). [ glucose: 10 g; (NH4)2SO4:1 g; Na2HPO4: 4 g; yeast extract:<br />

5 g; KH2PO4: 3 g; NaCl: 2.7 g; MgSO4: 0.6 g and 5 ml/L trace<br />

element solution containing FeSO4.7H2O: 5 mg; ZnSO4.7H2O:3.34<br />

mg; MnSO4.7H2O: 1.56 mg; CoCl2.2H2O: 2 mg (1 L distilled water)].<br />

For enrichment of biosurfactant producers instead of glucose, 5% of<br />

diesel, petrol and dodecane were added in three flasks<br />

respectively. Then the flasks were incubated on a rotary shaker at<br />

37°C for up to 4 weeks at 120 rpm. Samples were withdrawn from<br />

the flasks at weekly intervals to test for growth of bacteria.<br />

Screening for biosurfactant production<br />

The isolated cultures were grown in 150 ml of MSM in 500 ml<br />

Erlenmeyer flasks and samples were withdrawn from the medium at<br />

definite time intervals (one week) for screening. Medium without<br />

inoculation of bacteria served as the negative control. Two<br />

approaches were used for screening the biosurfactant producers:<br />

(i) Qualitative screening: Blood agar lysis method-cultures were<br />

spread onto blood agar plates to observe for any hemolysis which<br />

was indicative of biosurfactant production (Bodour and Miller-Maier,<br />

1998; Bordoloi and Konwar, 2007). Colonies showing hemolysis<br />

were tested further by oil spread technique, drop collapse method<br />

and blue agar plate method. For oil spread technique-50 ml of<br />

distilled water was added to large Petri dish (25 cm diameter)<br />

followed by addition of 100 µl of crude oil to the surface of water. 10<br />

µl of culture were then added to the surface of oil. A clear zone on<br />

oil surface indicated biosurfactant activity of the culture and<br />

diameter of the clear zone was proportional to the production of<br />

biosurfactant by the bacteria. The diameter of the clear zone on the<br />

surface of oil was determined. The experiment was carried out in<br />

triplicates. The drop collapse technique and blue agar plate method<br />

was carried out as described by Bodour and Miller-Maier (1998).<br />

ii) Quantitative screening: All isolates that tested positive in the<br />

qualitative tests were subjected to quantitative assays viz.<br />

determination of emulsification index by the method of Bosch et al.<br />

(1988) and determination of surface tension by the du Nouy ring<br />

method (Benincasa et al., 2001; Bodour et al., 2003; Mukherjee et<br />

al., 2009). All samples for quantitative assays were analyzed in<br />

triplicates.<br />

Optimization of the growth parameters for production of<br />

biosurfactant<br />

Different carbon (mannitol, sucrose, starch, glycerol, olive oil,<br />

dodecane) and nitrogen sources (ammonium sulphate, potassium<br />

nitrate, ammonium nitrate, ammonium dihydrogen orthophosphate)<br />

were tested in order to find out the best combination of nutrients for<br />

biosurfactant production using MSM as basal medium (Das and<br />

Mukherjee, 2007). The effect of medium pH (4-10) and growth<br />

temperature (25, 37, 45 and 50°C) were also tested in order to<br />

determine the optimal conditions for maximum biosurfactant<br />

production. Each factor was varied by keeping all other factors<br />

constant and all samples were taken in triplicates. Subsequently,<br />

the Placket-Burman design was used to find out the critical media<br />

components.<br />

Determination of lead and cadmium tolerance for S. koreensis<br />

by Kirby-Bauer method and metal removal studies<br />

S. koreensis was grown in Nutrient broth (pH 6.8) in the presence of<br />

varying concentrations (25-800 ppm) of the metals viz. lead and<br />

cadmium. Once the tolerance level was determined, the organisms<br />

were grown in presence of 200 ppm of each metal and incubated<br />

for up to 6 days (37°C, 120 rpm) in order to allow the interaction of<br />

organisms with the metal ions. Samples were withdrawn at 12 h<br />

intervals and the concentration of metal ions remaining in solution<br />

was determined by AAS (Shimadzu AA-6300, Japan). Uninoculated<br />

flasks containing the metals were used as controls.<br />

RESULTS AND DISCUSSION<br />

Isolation of bacteria<br />

Most studies on biosurfactant producing organisms have


Table 1. Biosurfactant production profile of selected isolates with qualitative and quantitative tests.<br />

Patil et al. 5175<br />

Name of isolate *Blood hemolysis *Blue agar *Oil spread *Drop collapse EI (%) Surface tension dyne/cm<br />

S. koreensis ++++ ++ ++++ ++++ 100% (24 h) 62.4 to 27.8<br />

P.aeruginosa +++ ++ +++ +++ 100% (24 h) 62.3 to 31.6<br />

Rhodococcus ++ - ++ ++ 100% (48 h) 64.4 to 43.7<br />

R72 +++ - - - - -<br />

*Number of ‘+’ signs indicates the degree of biosurfactant activity in qualitative tests, ‘-’ sign indicates the absence of the desired activity.<br />

‘-’ sign indicates the absence of the desired activity<br />

Figure 1. Biosurfactant activity of S. koreensis in (a) blood agar, (b) EI-24 in (i) petrol<br />

and (ii) diesel, (c) foam formation in production medium.<br />

Figure 1: Biosurfactant activity of S. koreensis in (a) blood agar, (b) EI-24 in (i) petrol<br />

been carried out on previously isolated strains of bacteria<br />

and fungi. According to many published reports,<br />

investigators successfully isolated biosurfactantproducing<br />

organisms from soils contaminated with<br />

hydrocarbons or mineral oils (Mukherjee et al., 2009;<br />

Moran et al., 2001; Mulligan, 2005). Taking this as a<br />

guideline, in the present investigation, samples of soil<br />

contaminated with petroleum and its products were<br />

collected for isolation of unique and acclimatized bacteria<br />

that might possess superior biosurfactant activity. From<br />

the enriched samples, a total of 129 bacterial strains<br />

were isolated and preserved on nutrient agar slants until<br />

use.<br />

Screening for biosurfactant production<br />

The screening program yielded three bacterial isolates<br />

that could reduce the surface tension with high<br />

efficiencies (Table 1 and Figure 1). The isolates were<br />

identified by routine microbiological tests, API32 and 16s<br />

rRNA profiling as Stenotrophomonas koreensis (NCBI<br />

Acc. No. GQ 493998), Pseudomonas aeruginosa and<br />

Rhodococcus sp. Among the three isolates, S. koreensis<br />

showed highest levels of biosurfactant activity with the<br />

qualitative and quantitative assays, hence it was chosen<br />

for further experimentation. It was found that the<br />

quantitative du Nouy ring method was the most reliable<br />

a b c<br />

(i) (ii)<br />

and (ii) diesel, (c) foam formation in production medium<br />

and sensitive method for determination of surface tension<br />

reducing ability followed by the emulsification index<br />

method. Moreover, it was also observed that isolates that<br />

showed blood haemolysis (in this case the isolate<br />

designated R72) were not necessarily efficient producers<br />

of biosurfactants as evidenced from their inability to<br />

reduce the surface tension of the medium. Similar<br />

observations were also made by Plaza et al. (2005)<br />

where blood agar haemolysis method yielded many false<br />

positive isolates. It could be seen that among the<br />

qualitative tests, the oil spread and drop collapse<br />

methods were the most reliable methods for screening,<br />

since organisms testing positive with these tests were<br />

also strongly positive with the quantitative tests. In<br />

general, it could be concluded that the qualitative oil<br />

spread method may be used as a standard screening<br />

method on account of its simplicity, rapidity and reliability.<br />

For further work on optimization of biosurfactant yield and<br />

its quantification, the highly sensitive quantitative de<br />

Nouy ring method may be used.<br />

Optimization of growth parameters<br />

It was observed that glucose as carbon source and<br />

potassium nitrate as nitrogen source yielded maximum<br />

biosurfactant production as evidenced from the reduction<br />

in surface tension by du Nouy ring method (Table 2). A


5176 Afr. J. Microbiol. Res.<br />

Table 2. Optimization of carbon and nitrogen sources of MSM for biosurfactant production by S. koreensis.<br />

Nitrogen source<br />

Surface tension reduction (dynes/cm)<br />

Glucose Mannitol<br />

(NH4)2SO4 31.2 29.4<br />

KNO3 34.6 29.2<br />

NH4NO3 21.4 24.7<br />

NH4H2PO4 19.4 20. 2<br />

Time (h)<br />

Figure 2. The efficiency of removal of lead Time and (h) cadmium by S. koreensis.<br />

temperature of 37°C and pH 6 were found to yield<br />

maximal levels of biosurfactant. The time required for<br />

complete emulsification of the added oils and to lower the<br />

surface tension of the production medium (MSM) was 24<br />

to 30 h. The surface tension remained more or less the<br />

same for several days once the critical micelle<br />

concentration is attained. Using the Placket and Burman<br />

design for media optimization, it could be concluded that<br />

MgSO4 and KH2PO4 were the very critical factors that<br />

affected biosurfactant production. Thus, the enrichment<br />

and screening program on the first place and<br />

subsequently the media optimization step have been<br />

useful for obtaining more efficient organisms that could<br />

be valuable for large-scale industrial applications.<br />

Moreover, it was possible to obtain a novel strain of S.<br />

koreensis that had a high efficiency of reducing the<br />

surface tension of liquids (Table 2).<br />

Determination of lead and cadmium tolerance for S.<br />

koreensis by Kirby-Bauer method and metal removal<br />

studies<br />

In the present experiments, lead and cadmium were<br />

chosen for heavy metal removal studies due to the<br />

following reasons: (i) ease of availability of the metal<br />

salts, (ii) availability of sensitive atomic absorption<br />

spectrophotometric method for estimations (iii) huge data<br />

available on removal and recovery of these metals from<br />

solutions, (iv) large scale use of these metals in<br />

industries (viz. batteries, cable coverings, plumbing, fuel,<br />

paints, PVC plastic, pencils, pesticides, alloys for lead<br />

and Ni-Cd batteries, coating, pigments, fertilizers for<br />

cadmium) that raises environmental concerns about<br />

heavy metal pollution, (v) major toxic effects of these<br />

metals on living cells, (vi) reports on rhamnolipid (a type<br />

of biosurfactant) interactions specifically with lead and<br />

cadmium and use of the interactions to eliminate<br />

cadmium toxicity (Desai et al., 1994; Franzetti et al.,<br />

2010; Mulligan, 2005). It was found that the isolates<br />

obtained in the present studies were tolerant to high<br />

metal concentrations of 200 ppm. This resistance could<br />

be attributed to the presence of biosurfactant that could<br />

effectively complex with the metal ions in solution. The<br />

biosurfactant might confer resistance by a complexation<br />

mechanism that removes ions from solution and thus<br />

keeping the toxic metal away from the bacterial cells<br />

(Banat et al., 2010; Mulligan, 2005; Sandrin et al., 2000;<br />

Zosim et al., 1983). It was observed that more than 30%<br />

of the metal ions were removed from the media (Figure<br />

2). It is evident from Figure 3, that there was a huge<br />

reduction in the surface tension of the medium in 24 to 30


Figure 3. The correlation of reduction in surface tension and metal removal as a result of<br />

biosurfactant productionbyS. Koreensis.<br />

h after inoculation of the culture. This reduction is seen<br />

as a spurt of increase in the difference in surface tension<br />

of sample and control that is, Δ dyne/cm. The reduction in<br />

the surface tension was due to production of<br />

biosurfactant that also reduced metal concentration of the<br />

medium. Although the metal removal efficiency appears<br />

to be low, it must be mentioned that percentage figures<br />

are often misleading, since at lower metal concentrations<br />

the observed percent removal values could be greater<br />

(Paknikar et al., 1999). Moreover, at low metal<br />

concentrations, better growth of bacteria would result in<br />

higher biomass and biosurfactant yields, and hence<br />

better metal removal efficiencies. The concentrations of<br />

heavy metals in industrial effluents are often in the range<br />

of 10 to 50 ppm. At these lower concentrations,<br />

conventional physical and chemical methods of treatment<br />

do not work efficiently; whereas, biosurfactant-based<br />

method would work efficiently.<br />

Conclusion<br />

Time (days)<br />

A novel metal resistant bacterial culture capable of high<br />

biosurfactant activity was isolated from petroleum<br />

contaminated soil through a systematic screening<br />

program. The bacterial culture produced a biosurfactant<br />

rhamnolipid that proffers resistance to metals and was<br />

also responsible for removing metals from solutions. Due<br />

to the biodegradability and low toxicity, biosurfactants<br />

may have a promising future for use in remediation of<br />

metalliferous wastes. Considering these aspects, further<br />

research on purification and detailed characterization of<br />

the material using chromatographic techniques and<br />

instrumental analysis is being pursued in the laboratory.<br />

ACKNOWLEDGEMENTS<br />

Patil et al. 5177<br />

The authors express deep sense of gratitude to late Dr.<br />

Vasantrao Pawar (Sarchitnis, Maratha Vidyaprasarak<br />

Samaj, Nashik) and Dr. V. B. Gaikwad (Principal, KTHM<br />

College, Nashik) for providing infrastructure, laboratory<br />

facilities and constant motivation.<br />

REFERENCES<br />

Banat IM, Franzetti A, Gandolfi I, Bestetti G, Martinotti MG, Fracchia L,<br />

Smyth TJ, Marchant R (2010). Microbial biosurfactant production,<br />

applications and future potential. Appl. Microbiol. Biotechnol., 87 :<br />

427-444.<br />

Benincasa M, Contiero J, Manresa MA, Moraes IO (2001). Rhamnolipid<br />

production by Pseudomonas aeruginosa LBI growing on soapstock<br />

as the sole carbon source. J. Food Eng., 54 : 283-288.<br />

Bodour AA, Dress KP, Mair RM (2003). Distribution of Biosurfactant-<br />

Producing in Undisturbed and Contaminated Arid Southwestern soils.<br />

Appl. Environ. Microbiol., 30 : 3280-3287.<br />

Bodour AA, Miller-Maier RM (1998). Application of a modified dropcollapse<br />

technique for surfactant quantitation and screening of<br />

biosurfactant producing microorganism. Microbiol. Methods, 32 :<br />

273–280.<br />

Bonglo G (1998). Biosurfactants as emulsifying agents for<br />

hydrocarbons. Colloidal Surf A: Physiochem Eng. Aspects, 152 : 41-<br />

52.<br />

Bordoloi NK, Konwar BK (2007). Microbial Surfactant-enhanced mineral<br />

oil recovery under laboratory conditions. Colloids and surfaces B :<br />

Biointerfaces, 63 : 73-82.<br />

Bosch MP, Robert M, Mercade ME, Espuni MJ, Parra JL, Guinea J<br />

(1988). Surface active compounds on microbial cultures.Tenside<br />

surfactants Deterg., 25 : 208-211.<br />

Cha DK (2000). The effect of biosurfactant on the fate and transport of<br />

non-polar organic contaminants in porous media. Environ. Eng., 20:<br />

1-17.<br />

Das K, Mukherjee AK (2007). Comparison of lipopeptide biosurfactant<br />

production by Bacillus subtilis strain in submerged and solid state<br />

fermentation system using a cheap carbon source: Some industrial


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application of biosurfactant. Proc. Biochem., 42: 1191-1199.<br />

Desai J, Banat IM (1997). Microbial production of Surfactants and their<br />

commercial potential. Am. Soc. of Microbio., 61 (1): 47-67.<br />

Desai J, Patel RM, Desai JD (1994). Advances in production of<br />

biosurfactant and their commercial applications. Sci. Ind. Res., 53:<br />

619–629.<br />

Franzetti A, Gandolfi l, Bestetti G, Smyth TJ, Banat IM (2010).<br />

Production and applications of trehalose lipid biosurfactants. Eur. J.<br />

Lipid. Sci. Tech., 112 : 617-627.<br />

Harman DC, Artiola JF (1995). Removal of cadmium, lead, and zink<br />

from soil by a rhamnolipid biosurfactant.Environ. Sci. Technol., 29:<br />

2280-2285.<br />

Kosaric N (2000). Biosurfactant in Industry. Pure and Appl. Ind., 64 (11):<br />

1731-1737.<br />

Lang S, Wullbbrandt D (1999). Rhamnos lipid biosynthesis, microbial<br />

production and application potential. Appl. Microbiol. Biotechnol., 55:<br />

713-721.<br />

Moran C, Martinez MA, Sineriz F (2001). Quantification of surfactin in<br />

Culture Supernatants by Haemolytic Activity. Biotechnol. Lett., 241:<br />

176-180.<br />

Mukherjee S, Das P, Sen R (2009). Rapid quantification of a microbial<br />

surfactant by a simple turbidometric method. J. Microbiol. Meth., 76:<br />

38-42.<br />

Mulligan CN (2005). Environmental Application for Biosurfactants.<br />

Environ. Poll., 133: 183-198.<br />

Muthusamy K, Gopalkrishna S, Ravi TK, Sivachidambaram P (2008).<br />

Biosurfactants: properties, commercial production and application.<br />

Curr. Sci., 94: 736-747.<br />

Paknikar KM, Puranik PR, Pethkar AV (1999). Development of microbial<br />

biosorbents- a need for the standardization of experimental protocols.<br />

In: Ballaster A, Amils R. Biohydrometallurgy and the environment<br />

toward the mining of the 21 st century, Elsevier, Amsterdam., 2 : 363-<br />

372.<br />

Plaza GA, Zjawiony I, Banat IM (2005). Use of Different methods for<br />

detection of thermophilic biosurfactant producing bacteria in<br />

undisturbed and contaminated acid southwestrern soil. J. Petroleum<br />

Sci. Eng., 50 : 71-77.<br />

Plociniczac PM, Plaza GA, Seget ZP, Cameotra SS (2011).<br />

Environmental Applications of Biosurfactants: Recent Advances. Int.<br />

J. Mol. Sci., 12(1): 633-654.<br />

Sandrin R, Chech AM, Maier RM (2000). A rhamnolipid biosurfactant<br />

reduces cadmium toxicity during naphthalene biodegradation. Appl.<br />

Environ. Microbiol., 66 : 4585-4588.<br />

Zosim Z, Gutnick DL, Rosenberg E (1983). Uranium binding by emulsan<br />

and emulsansols. Biotech. Bioengg., 25: 1725-1735.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24) pp. 5179-5187, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1388<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Combining biocontrol agent and high oxygen<br />

atmosphere, to reduce postharvest decay of<br />

strawberries<br />

Kraiem Menel 1 , Kachouri Faten 2 and Hamdi Moktar 1 *<br />

1 Laboratoire Microbial Ecology and Technology, National Instituteof Applied Science and Technology (INSAT),<br />

B. P. 676, 1080Tunis, Tunisia.<br />

2 Laboratory Microbial Ecology and Technology, School of Food Industries (ESIAT), 53, Alain Savary Street, 1002,<br />

Tunisia.<br />

Accepted 27 December, 2011<br />

The use of Lactobacillus pentosus, in combination with high oxygen packaging modified atmosphere<br />

(O2MAP) for the preservation of the good quality of strawberries to control fruit decay, was investigated<br />

for 4 storage days at 4°C. Fruits without bacterial treatment and high O2 modified atmosphere<br />

packaging (MAP) decreases water loss (82.15%) and fruit decay (66.7%). However, bacterial-treated<br />

fruits and high O2 MAP effects are enhanced giving water loss reduction and a fruit decay preservation<br />

at about 33.81 and 14.28%, respectively. The color index, (L x (a/b)), was effectively preserved under the<br />

combined bacterial-high MAP with 21.9 for 80% O2 compared to the control. L. pentosus fruit adding<br />

was significantly beneficial for quality preservation by enhancing the high O2 MAP (80% O2) moulds and<br />

yeasts spoilage to 31.47% (p


5180 Afr. J. Microbiol. Res.<br />

resistant strain of pathogens (Conway et al., 2004). The<br />

resistance increase of fungal pathogens against<br />

fungicides had resulted in a significant interest in the<br />

development of alternative methods of fruit control<br />

(Ragasdale and Sister, 1994).<br />

Biological control was developed as an alternative to<br />

synthetic fungicide treatment. A considerable success<br />

was achieved after utilizing antagonistic microorganisms<br />

to control both preharvest and postharvest diseases<br />

(Janisiewicz and Korsten, 2002). Various microbial<br />

antagonists have been reported to control several<br />

different pathogens on various fruits and vegetables<br />

(Fravel, 2005).<br />

A major advantage of using lactic acid bacteria (LAB)<br />

as biocontrol agent is that it is generally recognized as<br />

safe (GRAS) and usually matches all recommendations<br />

for food products (Stiles and Holzapfel, 1997). Moreover,<br />

LAB is natural colonizers of fresh fruit and has been<br />

previously described as good antagonists of several<br />

bacteria and fungi in different food products (Batish et al.,<br />

1997; Sathe et al., 2007).<br />

Lactic acid bacteria strains can be used to prevent the<br />

development of blue mold. This finding is supported not<br />

only by the observed inhibition capacity, but also by other<br />

characteristics. In fact, they have a wide growth range,<br />

which allows their application under different conditions,<br />

including refrigerator temperatures. Moreover, some acid<br />

lactic bacteria strains such as Lactobacillus plantarum<br />

and Lactococcus lactis are able to inhibit more than one<br />

phytopathogen, which is beneficial for a wide range of<br />

plant protection (Trias et al., 2008).<br />

Protection of food from spoilage and pathogenic<br />

microorganisms by LAB is done through producing<br />

organic acids, hydrogen peroxide, diacethyl (Menssens<br />

and De Vugst), antifungal compounds such as fatty acids<br />

(Corsetti et al., 1998) or phenullactic acid (Lavermicocca<br />

et al., 2000), and/or bacteriocins (De Vugst and<br />

Vandamme, 1994).<br />

The antimicrobial activity was shown in the lactic acid<br />

bacteria isolated from a traditional fermented milk “Raib”<br />

acting as a barrier to inhibit food spoilage and/or growth<br />

of pathogenic microorganisms in foods (Mechai and<br />

Kirane, 2008).<br />

It is important to note that there are effective methods<br />

which could increase the biological efficacy and inhibit<br />

fungal spoilage. Enhancement of biological control could<br />

be obtained by combining organic and inorganic additives<br />

(Jackson et al., 1991). Droby et al. (2009) affirmed that<br />

the biological control is only effective when concentration<br />

of the antagonist is reached and the efficacy is not as<br />

useful as fungicides. There are many papers about the<br />

modest efficiency of the biological biocontrol when<br />

applied alone, and researches studies about the efficacy<br />

of combining antagonists with other postharvest treatments<br />

(Spotts et al., 2002) are appearing in increased<br />

number.<br />

The combination of different preservations methods<br />

such as modified atmosphere packaging, low temperature<br />

storage or the additional preservation methods may be<br />

an excellent way to preserve the original quality attributes<br />

of these products (Alzamora, 1998).<br />

Enhancement of the biocontrol activity of antagonist<br />

can be obtained when combined with another strawberry<br />

treatment, such as, modified atmosphere treatment.<br />

Recently, elevated oxygen atmospheres was suggested<br />

as an alternative to the traditional low oxygen and high<br />

CO2 modified atmosphere packaging to maintain quality<br />

and safety (Day, 1996). Also, high O2 atmosphere was<br />

suggested as an effective method to inhibit the growth of<br />

microorganisms and prevent undesirable anoxic<br />

fermentation (Kader and Ben Yehoshua, 2000).<br />

The objective of this study is to evaluate the combined<br />

effect of the lactic acid bacteria and high oxygen<br />

atmosphere treatment on the undesirable microbial<br />

strawberries strain and the overall postharvest fruit<br />

quality for 4 storage days at 4°C.<br />

MATERIALS AND METHODS<br />

Fruits treatment and storage condition<br />

Strawberries (cv. Camarosa) were harvested at the red ripe stage<br />

from a local market and transported to laboratory. After their<br />

selection according to size and color uniformity, strawberries were<br />

ready to be used for the test.<br />

All samples were stored, after being weighted, under the<br />

considered modified atmospheres at 4°C for 4 days. The<br />

strawberries were packaged using tree packaging models of<br />

modified atmosphere: 20, 50 and 80%O2 balanced with the N2. All<br />

these packaging atmosphere were achieved by using a<br />

polyethylene bag, and a gas packaging unit composed of a gas<br />

mixer (Witt-Gasetechnik), and a vacuum compensation chamber<br />

(mini pack-Torre/Food Division).<br />

Biological material<br />

The bacterial strain used in this study is L. pentosus isolated from<br />

rayeb spontaneous fermented milk grown in Man–Rogosa-Sharpe<br />

(MRS) (De Man et al., 1960) at 32°C. L. pentosus was prepared in<br />

MRS incubated at 32°C for 24 h, and then washed twice by<br />

centrifugation (3500 g, 30 min) with 9‰ NaCl solution. The final cell<br />

was suspended in 10 ml of 9‰ NaCl solution, resulting in a final<br />

bacterial concentration ranging from 1.3 to 3.1 × 10 6 CFU/ml. The<br />

bacterial cocktail was then immediately sprayed on the strawberries<br />

under a slight agitation to maximize the bacteria adherence to the<br />

fruit surface. After that, the fruit were placed on a sterile sealed<br />

polyethylene bag (100 g) and kept at 4°C under different modified<br />

atmospheres.<br />

Visual decay assessment, weight loss and water content<br />

The visual decay of the strawberries was measured by weighing<br />

fruit with visible mycelium growth and with damaged surface due to<br />

softening and bruising. Fruit decay was expressed as a percentage<br />

of fruit showing decay symptoms (Zheng et al., 2007).<br />

The weight loss due to transpiration and respiration of the fruit was<br />

measured by weighing the fruit each day of the experiment, and<br />

expressed as a percentage of the original weight of the packaged<br />

fruit (Zhang et al., 2008).


To estimate the water content, strawberry were heated at 100°C<br />

for 2 h in a Universal Oven (Memmert UNB500). Water content was<br />

expressed using the weight after heating as a percentage of the<br />

initial weight.<br />

Color surface measurement, total titrable acidity (TAA) and pH<br />

The fruit surface color intensity was measured with a hand-held<br />

Tristimulus reflectance colorimeter (Spectrocolorimetre mobile<br />

color-test/ Erichsen SARL). Color was recorded using the CIE - L *<br />

a * b * uniform color space (CIE-Lab), where L * indicates lightness, a *<br />

indicates chromaticity on a green to red axis, and b * chromaticity on<br />

a blue to yellow axis (Francis, 1980). These recorded color values<br />

(a * and b * ) or some of their combinations should be considered as<br />

the physical parameters to describe the visual color degradation.<br />

Ahmed et al. (2002) founded out that a representation of visual<br />

quality in terms of total color may be more relevant. This is why they<br />

founded that L * (a * /b * ) or (L * a * b * ) are the best combination (Ahmed et<br />

al., 2004). The intensity or the saturation color was expressed by<br />

* * 2 * 2 1/<br />

2<br />

Chroma (C*) ( C � [ a � b ] ).<br />

The titrable acidity was determined by titration with NaOH (0.1 N)<br />

to an end point of pH = 8.1. The results were calculated as percent<br />

of citric acid (Nunes et al., 1995).<br />

The pH of the puree was determined using a pH-meter (WTW,<br />

pH/oxi 340i) standardized to pH 4 and 7.<br />

Microbiological analysis<br />

After opening the packages, 30 g of each package was aseptically<br />

added into a stomacher bag and diluted with a peptone saline<br />

solution (8.5 g NaCl/L + 1 g peptone/L). A dilution series was made<br />

(1:10) and the microbial levels of the packaged vegetables were<br />

determined after plating each one onto the appropriate media.<br />

Lactic acid bacteria were counted on MRS agar plate (MRS-agar,<br />

Oxoid) after 3 days of incubation at 30°C. Sorbic acid (Sigma) was<br />

added to MRS-agar at 1.4 g/L to prevent growth of yeast and<br />

moulds. The aerobic psychrotrophic count was determined on plate<br />

count agar (PCA, oxoid), then incubated at 22°C for 5 days. The<br />

yeasts and mould count was enumerated on yeast glucose<br />

chloramphenicol agar (YGC-agar) after 3 days of incubation at<br />

30°C (Van der Steen et al., 2002).<br />

Statistical analysis<br />

The storage experiment was conducted in triplicate. The statistical<br />

analyses were performed by ANOVA and the Student’s t-test. The<br />

results were expressed as means ± SE to show variations in the<br />

different experiments. Difference was considered significant at p <<br />

0.05.<br />

RESULTS AND DISCUSSION<br />

Overall quality<br />

At 20% O2 storage condition, we observed a low water<br />

content which can be reported to be due to fruits<br />

packaging (Table 1). In fact, packaging enhanced loss of<br />

firmness during cold storage by affecting loss of cell wall<br />

integrity (Amarante et al., 2002). At 20% O2 there was no<br />

interesting effect observed for the refrigeration.<br />

Cordenunsi et al. (2005) demonstrated that reducing the<br />

Kraiem et al. 5181<br />

storage temperature is an effective way to extend the<br />

strawberry shelf-life maintaining the fruits edible for<br />

additional days. However, temperature can also affect<br />

some ripening-related processes, which in turn can<br />

improve both sensorial and nutritional value.<br />

The 20% O2 strawberries atmosphere showed the<br />

greatest loss of weight at about 91.17 and 32.35%,<br />

respectively for the control and the bacterial treated<br />

samples, at the end of the storage period (Figure 2). Van<br />

der Steen et al. (2002) reported in similar works that the<br />

resulting loss after 3 days of storage was due to fungal<br />

respiration translated into H2O production. Wszelaki and<br />

Mitcham (2000) reported in comparable published works<br />

that low O2 modified atmosphere prevents the<br />

strawberries Botrytis growth. These are major factors<br />

which affect the fruit quality causing up to 50% of loss.<br />

The bacterial fruit spray reduced the weight loss<br />

through coating the fruit surface and avoiding the higher<br />

water loss. This fact is explained by the construction of a<br />

hydrophobic film forming a continuous matrix around the<br />

product reported to be bacterial exopolysaccharides<br />

(Sánchez-González et al., 2010).<br />

The LAB adding prevented water loss for high oxygen<br />

storage atmosphere condition especially for the 80% O2<br />

which improves the water preservation at about 43.33%<br />

compared to 20% O2 (Figure 2). The high oxygen<br />

atmosphere enhanced the water fruit preservation<br />

compared to the control about 59.67 and 33.81%,<br />

respectively for 50 and 80% O2. The LAB fruit adding<br />

provided the preservation of the fruit quality due to the<br />

bacterial inhibitory metabolites that avoid growth which<br />

cause damage in the fruit surface.<br />

The non bacterial treated fruit decay was also affected<br />

by the applied O2 treatments and reached 14.28% for<br />

80% O2 compared to 20% O2 (Figure 1). A similar<br />

example of decay suppression under high O2 level during<br />

cold storage at 5°C was also observed in blueberries by<br />

Zheng et al. (2003). The enriched atmospheres with O2 ≥<br />

60 kPa were effective in inhibiting strawberry fruit decay<br />

during storage tanks to the oxygen atmosphere<br />

concentration toxicity (Zheng et al., 2007).<br />

Fruit quality was preserved after the bacteria adding for<br />

the entire storage oxygen atmosphere 33.3, 57.14 and<br />

66.7% for 20, 50 and 80% O2, respectively (Figure 1).<br />

The fruit quality preservation is a result of the water<br />

loss reduction. Also, the oxidative stress may affect<br />

synthesis and accumulation of some volatile compounds<br />

associated with respiratory metabolism, including<br />

fermentative metabolites such as acetaldehyde, ethanol<br />

and ethyl acetate (Wszelaki and Mitcham, 2003).<br />

The adding of bacterial to the fruit prevented decay for<br />

all oxygen atmospheres especially for the 80% O2 which<br />

experienced a decrease of about 58.3% compared to the<br />

control (Figure 1). Bacterial coatings associated to the<br />

modified packaging atmosphere could delay fruit<br />

senescence, by decreasing both respiration rate and<br />

water losses, which could be explained by the changes in<br />

the mechanical response and color development during


5182 Afr. J. Microbiol. Res.<br />

Table 1. Effect of the oxygen atmosphere concentration on strawberries color parameters (a and b) and indice ((L*(a/b) and Chroma value), during 3 days of storage at 4°C * .<br />

Day % O2<br />

a b L*(a/b) Chroma value<br />

Control Inoculated Control Inoculated Control Inoculated Control Inoculated<br />

Day 0 39.37±0.23 42.54±0.16 20.25±0.16 22.30±0.83 72.64±1.38 76.27±2.54 44.27±0.77 48.03±1.65<br />

Day 1<br />

Day 2<br />

Day 3<br />

20 35.15±0.36 38.72±0.23 21.51±0.17 22.33±0.16 60.15±1.63 66.12±1.94 41.21±0.75 44.70±0.67<br />

50 39.43±0.11 43.33±0.09 21.95±0.38 25.98±0.39 72.11±1.86 73.10±1.39 45.13±0.91 50.52±0.80<br />

80 34.42±0.09 37.99±0.27 20.75±0.22 22.66±0.83 53.28±1.04 61.88±0.93 40.19±0.06 44.23±0.53<br />

20 37.64±0.34 31.10±0.11 23.87±0.11 25.08±0.27 52.19±0.89 43.79±2.54 44.57±1.46 39.95±0.46<br />

50 39.84±0.08 31.07±0.32 25.02±0.27 25.21±0.75 65.22±0.64 44.49±2.65 47.04±1.84 40.01±1.99<br />

80 35.63±0.13 34.73±0.15 21.58±0.16 22.34±0.82 56.19±0.82 56.37±3.85 41.66±1.36 41.29±1.28<br />

20 35.02±0.24 21.24±0.15 21.05±0.18 13.91±0.55 53.79±0.91 33.82±2.48 40.86±1.25 25.39±0.66<br />

50 32.28±0.43 17.45±0.03 22.85±0.08 12.25±0.36 53.70±0.75 35.88±1.84 39.55±0.98 21.32±1.75<br />

80 36.14±0.61 24.41±0.05 22.55±0.12 22.55±0.26 19.50±0.15 23.13±2.89 42.60±1.32 33.23±1.35<br />

* Data expressed as means ±SE of triplicate essays.<br />

storage (Garcia et al., 1998).<br />

pH and acidity<br />

The lactic bacteria added to the fruit promoted the<br />

pH decrease compared to the control at the end of<br />

the test for all the studied storage atmospheres.<br />

The main observed values for the 80% O2<br />

atmosphere are in accordance with an increase at<br />

about 10.9% for the bacterial adding while they<br />

reached only 9.2% for the control (Table 1).<br />

According to El-Ziney (1998), media acidification<br />

was explained by the bacterial metabolites. Lactic<br />

and acetic acids are the main products of the<br />

fermentation of carbohydrates by lactic acid<br />

bacteria, generally recognized as safe agents for<br />

the preservation of foods. In their steps, Kalt et al.<br />

(1999) attribute this media acidity to the higher<br />

strawberry acid ascorbic preserved tanks to the<br />

intracellular compartmentalization of ascorbic acid<br />

and phenols. At the end of the test, after the lactic<br />

acid bacteria adding, we observed a fruit acidity<br />

increase of about 18.2% 80% O2 (Table 1). Acidity<br />

increase and pH decrease were reported for lactic<br />

acid bacteria oxygen toleration under a high<br />

oxygen concentration atmosphere. In fact, Gram<br />

negative bacteria are better protected from the<br />

toxic effect of oxygen metabolites because of the<br />

synthesis of an outer Iipo-polysaccharide layer<br />

that traps active molecular oxygen (Dahl et al.,<br />

1989).<br />

We also observed a noticeable rise of acidity of<br />

56% for the 80% O2 atmosphere compared to the<br />

control 20% O2. Pérez and Sanz (2001) founded<br />

similar results in strawberry exposed to a high<br />

oxygen atmosphere (90 kPa O2) before day 4<br />

compared to fruit held in air.<br />

Color surface measurement<br />

During the storage time, the chroma decreased<br />

slightly for the bacterial treated strawberries compared<br />

with the control (Table 2). It was reduced<br />

slightly (P < 0.05) for the bacterial high oxygen<br />

treated sample compared to the control. At the<br />

end of storage, the chroma value decreased significantly<br />

for the bacterial treated samples and was<br />

about 31% while it was only 4% for the control at<br />

80% O2 atmosphere. The color fruit pre-servation<br />

was explained by the LAB pH decrease. In fact,<br />

according to Brouillard (1988), at the pH of 5 to 7,<br />

the anthocyanins are unstable and are quickly<br />

decolorized due to hydration at the 2-position of<br />

the anthocyanidin skeleton. Result confirmed by<br />

Keller (1984) who associated the fruit color to the<br />

media pH reporting that the acid induced gelatin<br />

of pectin at pH levels is lower than 3.5.


Kraiem et al. 5183<br />

Table 2. Effect of the oxygen atmosphere concentration on the strawberries physiochemical parameters: pH, acidity and dry matter, during 3<br />

days of storage at 4°C*.<br />

Day Treatment<br />

pH Acidity (% citric acid) Dry matter (%)<br />

Control Inoculated Control Inoculated Control Inoculated<br />

Day 0 3,58±0.33 3.58±0.33 0.82±0.08 0.82±0.08 0.34±0.85 0.34±0.85<br />

Day 1 20%O2 3.48±0.46 3.65±0.01 0.80±0.05 0.84±0.08 0.42±1.45 0.35±0.79<br />

50%O2 3.57±0.91 3.42±0.06 0.77±0.02 0.79±0.09 0.45±1.20 0.40±0.07<br />

80%O2 3.54±0.94 3.39±0.05 0.81±0.88 0.78±0.02 0.54±0.18 0.3±0.02<br />

Day 2 20%O2 3.36±1.34 3.43±0.05 0.77±0.54 0.79±0.25 0.47±0.74 0.45±0.16<br />

50%O2 3.34±1.39 3.38±0.02 0.72±0.67 0.78±0.16 0.61±0.38 0.55±0.24<br />

80%O2 3.33±1.34 a 3.35±0.03 0.77±0.30 0.77±0.33 0.87±0.03 0.59±0.91<br />

Day 3 20%O2 3.33±1.88 3.34±0.01 0.77±0.44 0.77±0.04 0.65±0.36 0.45±0.08<br />

50%O2 3.29±1.32 3.23±0.02 0.71±0.58 0.74±0.26 0.84±0.75 0.62±0.74<br />

80%O2 3.25±1.44 3.19±0.15 0.75±0.19 0.73±0.12 1.23±0.88 0.68±0.09<br />

* Data expressed as means ±SE of triplicate essays.<br />

We observed an interesting effect of the bacterial fruit<br />

adding on the color preservation (color index), especially<br />

at the last storage day with an improvement of 37, 33 and<br />

20 and 50% O2, respectively (Table 2). The fruit browning<br />

surface protection was reported for the ascorbic acid.<br />

This matches the finding of Dias and Weimer (1998) who<br />

explained that lactobacilli produce free thiols which<br />

reduce glutathione as an alternative to ascorbic acid.<br />

In this study, the controls’ samples showed noticeable<br />

fruit browning surface during 4 storage days. The<br />

mechanism involved in browning inhibition by antioxidant<br />

is explained by LAB treatments. Similar results was<br />

reported by Lin and Yen (1999) who demonstrated the<br />

antioxidative activity of the intracellular lactic acid<br />

bacteria-free extract with an inhibition rate of ascorbate<br />

oxidation in the range of 7 to 12%.<br />

Oxidative browning is usually caused by the enzyme<br />

polyphenol oxidase (PPO) which in the presence of O2<br />

converts fruits and vegetables phenol compound into<br />

dark colored pigments. Ascorbic acid can prevent PPOmediated<br />

cut surface discoloration by reducing pH<br />

surface, and further slowing browning reaction (Beaulieu<br />

and Gorny, 2004). This finding reinforced the hypothesis<br />

of the protective effect of the LAB on the natural ascorbic<br />

acid fruit content, and on the syntheses of new<br />

antioxidant compounds.<br />

Microbiological counting<br />

The L. pentosus spray on fruit reduced significantly the<br />

natural spoilage of strawberries at the end of test (Figure<br />

3) for all the atmospheric studied conditions (p


5184 Afr. J. Microbiol. Res.<br />

Figure 1. Effect of the oxygen atmosphere concentration on the strawberries decay<br />

indices, during 3 days of storage at 4°C. Without lactic acid bacteria (�) and with lactic<br />

acid bacteria adding ( ).Bars represent standard deviations of the means.<br />

reduction. The results suggested the use of 80 kPa O2 to<br />

reduce significantly mycelium growth and the amount of<br />

moulds spores (Van der Steen et al., 2002) and the use<br />

of 100 kPa to reduce effectively mycelium growth than 15<br />

kPa CO2 or air after 14 days at 5°C (Wszelaki and<br />

Mitcham, 2000).<br />

The number of aerobic psychrotrophic bacteria<br />

increased after the bacterial fruit treatment, under the<br />

different studied MAP reaching 11.35% at the end of the<br />

test for the 20% O2 atmosphere. However, it attained<br />

16.89 and18.49% for the 50 and the 80% O2 atmosphere,<br />

respectively compared to the control (Figure 3). This<br />

increase was a logic result to the lactic acid bacteria<br />

proliferation in this adequate environment under high<br />

oxygen atmosphere. The aerobic psychrotroph also<br />

observed an increase after the rise of oxygen<br />

atmosphere. It was about 49 and 63% for the 50 and the<br />

80% O2, respectively compared to the 20% O2. The<br />

number of psychrotrophic bacteria increase was reported<br />

to the lactic acid bacteria oxygen tolerance. Supporting<br />

this idea, Condon (1987) demonstrated that the hydrogen<br />

peroxide sensitive lactic bacteria exposed to a sub-lethal<br />

of oxygen concentration became capable of growth in the<br />

presence of a lethal concentration of hydrogen peroxide.<br />

The bacterial fruits adding enhanced the natural lactic<br />

microbiota of the strawberries under the 20% O2<br />

atmosphere reaching a rate of 16.22% (Figure 3).<br />

Without the bacterial treatment oxygen atmosphere


log CFU/g<br />

log CFU/g<br />

log CFU/g<br />

8.5<br />

7.5<br />

6.5<br />

5.5<br />

4.5<br />

3.5<br />

7.5<br />

6.5<br />

5.5<br />

4.5<br />

3.5<br />

7.5<br />

6.5<br />

5.5<br />

4.5<br />

3.5<br />

Figure 2. Effect of the oxygen atmosphere concentration on<br />

the strawberries water loss (%), during 3 days of storage at<br />

4°C. Without lactic acid bacteria (A) and with lactic acid<br />

bacteria adding (B). Error bars indicate one standard error.<br />

Kraiem et al. 5185<br />

Figure 3. Effect of the oxygen atmosphere concentration on the microbial strawberries fruits evolution, during 3 days of<br />

storage at 4°C. Without lactic acid bacteria (�) and with lactic acid bacteria adding (�). The modified atmosphere<br />

condition: 20% oxygen atmosphere (A), 50% oxygen atmosphere (B) and 80% oxygen atmosphere (C). Error bars<br />

indicate one standard error.


5186 Afr. J. Microbiol. Res.<br />

induced a slight increase in the lactic bacterial fruit<br />

content, especially for the 80% O2 atmosphere with a rate<br />

of 16.49% compared to 20% O2 (control). Beside, the<br />

LAB count increased under high MAP at about 21.21 and<br />

23.17% for the following atmosphere, 50 and 80% O2,<br />

respectively (Figure 3). L. pentosus tolerates the oxidant<br />

stress and enhances the effect of high oxygen storage<br />

atmosphere. Similar results have been reported by<br />

Higuchi et al., (2000) showing that NADH oxidase LAB<br />

induced by O2 in an oxygen-tolerant strain contain two<br />

types of enzyme activity, one forming H2O2 and the other<br />

H2O.<br />

Conclusion<br />

The strawberry high oxygen modified atmosphere<br />

treatment has affected the water loss, the fruit decay and<br />

the microbial profile. But, it did not affect color and pH<br />

after four storage days at 4°C. The L. pentosus bacterial<br />

combination with the oxygen MAP treatment preserved<br />

the fruit quality and microbiology especially for 80% O2<br />

atmosphere, where the decrease of the moulds and yeast<br />

and the increase of the lactic acid bacteria enhance the<br />

color and the water fruit preservation, resulting in fruit<br />

quality preservation at the end of the test. This bacterialhigh<br />

MAP postharvest storage technique must be<br />

thoroughly studied in order to replace the un-safety<br />

chemical techniques widely applied.<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5188-5192, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1558<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Expression, purification and antigenic evaluation of<br />

toxin-coregulated pilus B protein of Vibrio cholera<br />

Kiaie S. 1 , Abtahi H.²*, Alikhani M. 3 and Mosayebi G. 2<br />

1 Department of <strong>Microbiology</strong> and Immunology, School of Medicine, Arak University of Medical Sciences, Arak, Iran.<br />

2 Molecular and Medicine <strong>Research</strong> Center, Arak University of Medical Sciences, Arak, Iran.<br />

3 Department of <strong>Microbiology</strong>, School of Medicine, Hamedan University of Medical Sciences, Hamedan, Iran.<br />

Accepted 23 April, 2012<br />

The toxin co-regulated pilus B (TcpB) as well as tcpA has been verified as a critical colonization factor<br />

for Vibrio cholera O1. TcpB is a candidate for making subunit vaccine against cholera; this study aims<br />

to produce an oral vaccine by expressing recombinant toxin co-regulated pilus B in Escherichia coli (E.<br />

coli). The toxin co-regulated pilus B (tcpB) gene was amplified by polymerase chain reaction (PCR)<br />

method. PCR product was sub-cloned to prokaryotic expression vector PET32a, was transformed in E.<br />

coli BL21 (DE3) and was induced by Isopropyl_β-D-1-thiogalactopyranoside (IPTG). Recombinant<br />

protein was detected by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and<br />

purified by Ni-NTA resin. The immune response to TcpB in animal model was studied. PCR product of<br />

tcpB gene has 1297 bp and it was confirmed by sequencing. In SDS-PAGE analysis a band with 65 kDa<br />

was seen. In patient recovering from cholera and animal model such as Mice, rabbit with oral<br />

inoculation, high titer of antibody in serum was detected. These results demonstrated that the<br />

recombinant TcpA is antigenic and can be used in a carrier host as an oral vaccine against cholera.<br />

Key words: Antigenicity, Escherichia coli, recombinant protein, toxin co-regulated pilus B.<br />

INTRODUCTION<br />

Vibrio cholera is a causative agent of the intestinal<br />

disease (Herrington et al., 1988). V. cholera is important<br />

in gram-negative motile enteric pathogen, which is<br />

spread via the fecal-oral route (Manning, 1997) that is,<br />

upon passage through the stomach, bacterium wields the<br />

single polar flagellum to reach the epithelial surface in the<br />

intestinal crypts where it colonies and expression of<br />

specific virulence genes occurs (Taylor et al., 1987).<br />

Among these virulence factors are the genes encoding<br />

the toxin co-regulated pilus (tcp) and tcp biogenesis<br />

apparatus, the cholera toxin (CT) genes, as well as<br />

activates of these two main virulence factors. Toxin coregulated<br />

pilus (tcp) introduces elementary step to<br />

colonization of the bacteria in small intestine (Rhine and<br />

*Corresponding author. E-mail: abtahi@arakmu.ac.ir. Tel:<br />

+988614173502. Fax: +988614173526.<br />

Taylor, 1994). Tcp is classified as a type 4 pilus, that are,<br />

long, filamentous appendages expressed by a number of<br />

Gram-negative bacteria, for example,<br />

Enteropathogenic Escherichia coli (EPEC),<br />

Enterotoxigenic Escherichia coli (ETEC) and Neisseria<br />

gonorrhoeae (Nataro and Kaper, 1998).<br />

Upon colonization the bacterium produces cholera toxin<br />

that is composed of two subunits, A and B. The B subunit<br />

binds GM1 (monosialotetrahexosylganglioside) on the<br />

epithelial cells providing the insertion and cleavage of the<br />

A subunit at the membrane (Sandkvist, 2001).<br />

Contemporaneous expression of CT and tcp is controlled<br />

via the ToxR regulatory protein, that is, ToxR controls<br />

expression of another regulator, ToxT, and ToxT directly<br />

controls expression of virulence gene (Miller and<br />

Mekalanos, 1988). The cholera toxin operons are verified<br />

as a section of the genome of the cholera toxin<br />

bacteriophage (CTXQ), which utilizes tcp as its receptor<br />

(Walder and Mekalanos, 1996). The toxin co-regulated


pilus (tcp) that is a subtle of polymerized TcpA. The tcp<br />

operon is composed of nine tcp-specific proteins but is<br />

nearly characterized (Kirn et al., 2003). The 20.5KD tcpA<br />

is produced as precursor for the tcp which is processed<br />

at the cytoplasmic side of the IM via tcpJ which is a<br />

protease (Taylor et al., 2004). The subunits precursors’<br />

protein, tcpA is accumulated into tcp via the tcp<br />

biogenesis apparatus (Taylor et al., 2004). The<br />

biogenesis apparatus Including tcpB, tcpE and tcpJ are<br />

thought to form an assembly scaffold; these intermediate<br />

proteins are required for tcp assembly. In this report we<br />

identify one of the components from tcp biogenesis<br />

apparatus, consisted of tcpB. tcpB was originally<br />

deduced to amino acid sequence analogously to C of B<br />

of ETEC (Taniguchi et al., 1995). The tcpA is the major<br />

pilin subunit and 47.5-kD. Tcpb pilin subunit is required<br />

for colonization that is also an intermediate subunit as a<br />

minor pilin along the shaft, which is perhaps a machinery<br />

of the basal structure (Manning, 1997). As mentioned<br />

above tcpJ is required for the processing of tcpA, and is<br />

also responsible for processing of tcpB (Manning, 1997).<br />

However, experimental evidence provides a prediction for<br />

tcpB to interact with tcpA in the pili (Manning, 1997). The<br />

results of the present study indicate tcpB as a tcp<br />

biogenesis apparatus that is required for tcpA assembly<br />

and stability.<br />

Isolation, characterization and expression of Vibrio<br />

cholera tcpB gene in E. coli as a host are presented in<br />

this paper. We also showed that recombinant V. cholera<br />

tcpB protein is recognized by infected sera using Western<br />

blot analysis.<br />

MATERIALS AND METHODS<br />

Bacterial strains, media and vector<br />

V. cholerae EL-Tor (Inaba) was used throughout this study.<br />

Bacterial strain was maintained at -70°C in Lysogeny broth (LB)<br />

medium containing 25% (vol/vol) glycerol (Miller, 1972). LB and<br />

TCBS (Thiosulfate Citrate Bile Salts Sucrose) media were prepared<br />

as described previously (Miller, 1972; Mekalanos et al., 1978).<br />

Prokaryotic expression vector pET-32a was used. This vector<br />

enables the expresses a fusion protein with a histidines tag, a<br />

thrombin recognition site and a T7 tag in N-terminus. These<br />

additional amino acids increase the size of expressed protein near<br />

20 kDa. The recombinant pET32a (pET-32a-tcpB) is transformed is<br />

in E. coli, BL21 (DE3) plysS as host strain.<br />

Isolation of chromosomal DNA<br />

After overnight incubation of V. cholera subsp. EL-Tor in LB at<br />

37°C, bacterial cells were centrifuged at 5000 rpm for 2 min and the<br />

pellet was re-suspended in 567 µl of TE buffer. Chromosomal DNA<br />

prepared according to standard CTAB/NACL method. Briefly, resuspended<br />

the pellet of 1.5 ml overnight bacterial culture in TE<br />

buffer( Tris 10 mM, EDTA 1 mM, PH 8), the bacterial cell was<br />

lysed by SDS and proteinase K, the chromosomal DNA was<br />

extracted by CTAB/NACL solution (10% CTAB and 0.7 M NACL).<br />

Remove the cell debris and proteins by two times<br />

phenol/chloroform/isoamylalcohole (25:24:1) mixture. DNA<br />

kiaie et al. 5189<br />

precipitated by isopropanol and washed in ethanol (70%), air dried<br />

and then re-suspend in TE buffer. Quality and quantity of purified<br />

genomic DNA was assayed by 0.8% Agarose gel electrophoresis' in<br />

1×TBE buffer and spectrophotometrically (260/280 nm),<br />

respectively (Sambrook et al., 2001).<br />

Primers design<br />

The protein product encoded by the tcpB gene was identified by<br />

expression It as 6xHis tag and T7 tag fusion proteins. The tcpB<br />

open reading frame was amplified with two synthetic primers<br />

containing engineered Xho1 and BamHI sites. Primers were<br />

designed according to published sequence for tcpb of Cholera<br />

(accession number: FJ209011); Forward: (5’ TCG AGC TCA TGA<br />

GAA AAT ACC AA 3’) and Reverse: (5’ ACT CGA GAT TTT CAC<br />

ACC ATT GA 3’). The PCR product was digested with BamHI and<br />

XhoI are cloned into the fusion protein expression vector pET-32a.<br />

The nucleotide sequence of the tcpB gene has been deposited in<br />

the GenBank data library under accession number FJ209011.<br />

Gen amplification of tcpB<br />

PCR was performed in a 50µL total volume containing 500 ng of<br />

template DNA, 1 µM of each primers, 2.5 mM Mg 2+ , 200 µM (each)<br />

deoxynucleoside triphosphates, 10× PCR buffer and 2.5 unit of<br />

Pwo DNA polymerase (Roche). The following conditions were used<br />

for amplification: hot start at 94°C for 5 min, followed by twenty five<br />

cycles of denaturation at 94°C for 1 min, annealing at 63°C for 1<br />

min and extention at 72°C for 1 min. The program followed by a<br />

final extension at 72°C for 5 min. The PCR product was analyzed<br />

by electrophoresis in 1% agarose gel in 1× TBE buffer and<br />

visualized by ethidium bromide staining on UV transilluminator. The<br />

PCR product was purified from the agarose gel by high pure PCR<br />

product purification kit (Roche) according to manufacturer<br />

recommendation. PCR product was checked by electrophoresis in<br />

1% agarose gel in 1× TBE buffer.<br />

Cloning of tcpB gene in bacterial expression vector<br />

The PCR product was digested with BamHI and XhoI and cloned<br />

into the fusion protein expression vector pET-32a, which digested<br />

by the same restriction enzymes, that is, by T4 DNA ligase<br />

(cinagene). At 16°C over night E. coli DH5α and E. coli BL21 (DE3)<br />

plysS competent cells were prepared by calcium chloride method<br />

and used for transformation of pET32a -tcpB plasmid. The<br />

transformed bacteria were selected by screening the colonies on<br />

antibiotic containing media and plasmid purification. The suspected<br />

colony further analyzed by restriction enzymes digestion and PCR.<br />

Expression and purification of recombinant tcpB<br />

E. coli BL21 (DE3) plysS was transformed with pET32a-tcpB and<br />

grown in 2 ml LB broth supplemented with Ampicillin (100 µg/ ml)<br />

and chloramphenicol (34 µg/ml) at 37°C with agitation. A colony<br />

contained with recombinant plasmid was cultured on shaking<br />

incubator for overnight at 37°C in 2 ml LB medium containing 100<br />

µg/ml Ampicillin and 34 µg/ml chloramphenicol. The next day, 500<br />

µl of culture was removed and inoculated in 50 ml LB broth (per<br />

litre: 10 g yeast extract (Difco), 20 g bactotryptone broth (Difco),<br />

0.2% (mass/vol.) glucose, 10 g NaCl, 1 g KCl, 0.5 g MgCl2, 0.5 g<br />

CaCl2) and incubated at 37°C, shaking at 200 rpm with vigorous<br />

agitation to an absorbance of 0.5 at 600 rpm. Expression of the<br />

tcpB protein was then induced by the addition of Isopropyl-β-D-1thiogalactopyranoside<br />

(IPTG) to a final concentration of 1mM and


5190 Afr. J. Microbiol. Res.<br />

70 kda<br />

60 kda<br />

50 kda<br />

1 2 3 4 5 6 7<br />

Figure 1. Expression and purification of recombinant tcpB Ni-NTA purification of recombinant<br />

toxin co-regulated pilus produced in E. coli and stained with coomassie brilliant blue. Lane1:<br />

marker, lane 2: uninduced cells of pET32a-tcpB without using IPTG, lane 3, 4: induced cells of<br />

pET32a-tcpB with using IPTG at a long time 2 and 4 hours, lane 5, 6 and 7: Extract proteins<br />

after Ni-NTA affinity chromatography.<br />

incubation was continued for a further 4 h. The expressed protein<br />

was purified using Ni-NTA column according to manufacturer’s<br />

instruction (Qia gene). The purified protein was dialyzed twice<br />

against PBS (pH 7.5) at 4°C overnight. The quality and quantity of<br />

purified recombinant tcpB protein was dialyzed by SDS-PAGE<br />

(15%) and Bradford methods, respectively.<br />

Antigenicity and Immunoblot analysis of recombinant tcpB<br />

For preparation of primary antibody 100 µg of emulsion containing<br />

bacteria and complete freund´s Adjuvant (50 µg vibrio cholerae +<br />

50 µg complete freund´s Adjuvant sigma, St. Louis Ma) at three<br />

weeks were injected into five mice, rabbit and acute phase patients<br />

and sera received as a gift from Dr. Amozande (Immunology<br />

Department, Iran, Arak). After 21 days Injections were repeated by<br />

replacing incomplete freund´s Adjuvant (50 µg vibrio cholerae + 50<br />

µg incomplete freund´s Adjuvant). 10 days after the second<br />

injection, sera separated were used as primary antibodies.<br />

RESULTS<br />

DNA extraction<br />

The Chromosomal DNA of Vibrio cholera was extracted<br />

and concentration was adjusted to 250 µg/ml. This DNA<br />

was used as a template for amplification of tcpB<br />

gene. PCR product had expected size of 1297 bp<br />

compare to 100 bp DNA ladder (Fermentas). The<br />

sequencing result was confirmed by comparing with<br />

databases and using basic local alignment search tool<br />

(BLAST) soft ware (data not shown).<br />

Expression and purification of recombinant tcpB<br />

pET32a -tcpB in E. coli BL21 (DE3) plysS was induced<br />

and the expression protein was purified by Ni-NTA<br />

column (Figure 1). SDS.PAGE analyses, showed the<br />

expected molecular mass of near 65 kDa recombinant<br />

protein. The concentration of recombinant protein was<br />

Assayed and calculated to 400 mg purified protein per<br />

liter of the initial culture.<br />

Western immunoblot analysis<br />

To determine the antigenicity of recombinant tcpB in<br />

mice, human and rabbit immunized with Vibrio cholera,<br />

the recombinant tcpB was assayed by Western-blotting.<br />

Figure 2 shows the specific interaction between<br />

standardized antibody and purified recombinant tcpB


protein.<br />

DISCUSSION<br />

70 kda<br />

60 kda<br />

50 kda<br />

Figure 2. Western blotting analysis of tcpB extracts using anti- tcpB rabbit, human and rabbit antiserums.<br />

lane 1 : Protein marker, lane 2 : interaction between serum of Immunized mice with purified recombinant<br />

tcpB protein , lane 3 : interaction between serum of Infected human with purified recombinant tcpB<br />

protein, lane 4: interaction between serum of Immunized rabbit with purified recombinant tcpB protein,<br />

lane 5 : control negative.<br />

Cholera is an acute diarrheal disease leading to death by<br />

severe dehydration without appropriate treatment,<br />

especially in developing countries. Vibrio cholerae is<br />

mainly a fecal-orally transmitted and humans are the only<br />

known natural host. Cholera has been endemic in<br />

southern Asia. Cholera has spread in seven pandemic<br />

since 1817. In 2008, the WHO reported 190,130 cholera<br />

cases worldwide, associated with 5143 deaths (98% in<br />

Africa), but cholera is globally under-reported and the<br />

true disease burden is estimated to be in the millions. In<br />

addition to endemic outbreaks, sporadic outbreaks can<br />

occur whenever sanitation and clean water provisions are<br />

lacking, such as occurred in Zimbabwe between 2008 to<br />

2009. The ability of V. cholerae to persist in water will<br />

continue to confound our ability to eradicate cholera and<br />

thus cholera vaccines are needed. V. cholerae utilizes<br />

adhesion factors some of which may remain to be<br />

elucidated, but may include O1 LPS; GlcNAc-binding<br />

protein (GbpA); a protein (tcpF) secreted by the toxin<br />

coregulated pilus (tcp) biogenesis apparatus; outer<br />

kiaie et al. 5191<br />

membrane protein OmpU and cholera toxin (CT),<br />

although this has only been implicated in an adult rabbit<br />

model. Tcp facilitates inter-bacterial interactions that are<br />

important for colonization. An effective cholera vaccine<br />

could prevent colonization by inducing the production of<br />

antibodies that directly neutralize the function of key<br />

colonization factors and/or facilitate phagocytosis and<br />

killing through bacterial opsinization (Bishop and Camilli,<br />

2011).<br />

Tcp of V. cholera belongs to a subgroup of type-4<br />

fimbriae and is expressed by both classical and ELT or<br />

strains of the O1 serotype, as well as O139 Bengal<br />

(Manning, 1997). In the present study, we sought<br />

Antigenic activity the tcpB, within the virulence factors<br />

from V. cholerae serotype inaba. Toxin-Coregulated Pilus<br />

B (tcpB) would be expected to be important element in<br />

pathogenesis in V. cholera. Tcpb is a predicated major<br />

pilin subunit protein with a molecular mass of 49.5 kDa<br />

and some similarity to tcpA in this pilus (Manning, 1997).<br />

In this study, recombinant protein TcpB was expressed in<br />

E. coli BL-21 (DE3) plysS bacteria through expression<br />

vector pET32a mediated transformation. The presence of<br />

6xHis tag and T7 tag to the N or C terminal of<br />

recombinant peptide causes increase near 20 kDa.<br />

Therefore, molecular weight of tcpB-pET32a fusion


5192 Afr. J. Microbiol. Res.<br />

proteins was found to be 65 kDa. Recent studies<br />

(karaolis et al., 1998, 1999; Walder and Mekalanos,<br />

1996) of V. cholera have demonstrated that tcp gene<br />

cluster occupied a V. cholera pathogenicity island which<br />

genes of lysogenic filamentous phage were included and<br />

tcp, specific tcpA acts as a receptor foe cholera toxin<br />

phage (CTXQ). On the other hand, this would show a<br />

marker for tcpB to indicate more importance of its<br />

function in pathogenicity pilus. As simple as this sound<br />

tcpB can be evaluated as a vaccine antigen. These<br />

results have demonstrated the value of tcpB in the<br />

genetic analysis of bacterial virulence and its potential<br />

application in the field of vaccine development. We<br />

suggest that tcpB in combination with other molecular<br />

subunits of V.cholera would provide superior protection to<br />

infection because solid protective immunity requires<br />

immunization with several parasite proteins rather than a<br />

single moiety.<br />

ACKNOWLEDGMENT<br />

This work was supported by <strong>Research</strong> council of Arak<br />

University of Medical sciences.<br />

REFERENCES<br />

Bishop AL, Camilli A (2011). Vibrio cholerae lessons for mucosal<br />

vaccine design. Exp. Rev. Vaccin., 10(1): 79–94. doi:<br />

10.1586/erv.10.150.<br />

Herrington DA, Hall RH, Loson sky G, Mekalanos JJ, Taylor RK, Levine<br />

MM (1988). Toxin, toxin-coregulayed Pili, and the toxR regulon are<br />

essential for Vibrio cholera pathogenesis in humans. J. Exp. Med.,<br />

168: 1487-1492, PMCID: PMC218907.<br />

Karaolis DK, Johnson JA, Bailey CC, Boedeker EC, Kaper JB, Reeves<br />

PR (1998). A Vibrio cholera pathogenicity island associated with<br />

epidemic and pandemic strains. Proc. NatI. Sci., USA., 95: 3134-<br />

3139. PMID: 9501228.<br />

Karaolis DK, Somara S, Maneval DR, Johnson JA, Kaper JB (1999). A<br />

bacteriophage encoding a pathogenicity island, a type-IV pilus and a<br />

phage receptor in cholera bacteria. Nature, 399: 375-379. PMID:<br />

10360577.<br />

Kirn TJ, Bose N, Taylor RK (2003). Secretion of a soluble colonization<br />

factor by the TCP type 4 pilus biogenesis pathway in Vibrio cholera.<br />

Mol. Microbiol., 49: 81-92. PMID: 12823812.<br />

Manning PA (1997). The Tcp gene cluster of Vibrio cholerae.GENE.,<br />

192: 63-70. PMID: 9224875.<br />

Mekalanos JJ, Collier RJ, Romig WR (1978). Affinity filters, a new<br />

approach to the isolation of tox mutants of Vibrio cholerae. Proc. Natl.<br />

Acad. Sci. USA., 75: 941-945. PMID: 345281.<br />

Miller JH (1972). Experiments in molecular genetics. ColdSpring Harbor<br />

Laboratory, Cold Spring Harbor, N.Y.<br />

Miller VL, Mekalanos JJ (1988). A novel suicide vector and its use in<br />

construction of insertion mutations: osmoregulation of outer<br />

membrane proteins and virulence determinants in Vibrio cholera<br />

requires taxR. J. Bacteriol., 170: 2575-2583. PMCID: PMC211174.<br />

Nataro JP, Kaper JB (1998). Diarrheagenic Escherichia coli. Clin.<br />

Microbiol. Rev., 11: 142-201. PMCID: PMC121379.<br />

Rhine JA, Taylor RK (1994). TcpA pilin sequences and colonization<br />

requirements for O1 and O139 Vibrio cholera. Mol. Microbiol., 13:<br />

1013-1020. PMID: 7854116.<br />

Sambrook SJ, Fritsch EF, Maniatis T (2001). Molecular cloning: A<br />

Laboratory Manual. 3rd Edn. Cole spring Harbor Laboratory Press,<br />

New York.<br />

Sandkvist M (2001). Biology of type II secretion. Mol. Microbiol., 40:<br />

271-283. PMID: 11309111.<br />

Taniguchi T, Fujino YK, Yamamoto T, Honda T (1995). Sequencing of<br />

the gene encoding the major pilin of pilus colonization factor antigen<br />

III (CFA/III ) of human enterotoxigenic Escherichia coli and evidence<br />

that CFA/III is related to type IV pili. Infect. Immun., 63: 724-728.<br />

PMID: 7822050.<br />

Taylor RK, Kirn TJ, Bose N, Stonehouse E, Tripathi SA, Kovác P, Wade<br />

WF (2004). Progress towards development of a cholera subunit<br />

vaccine. Chem. Biodivers., 1(7): 1036-57. PMID: 17191897.<br />

Taylor RK, Miller VL, Furlong DB, Mekalanos JJ (1987). Use of phoA<br />

gene fusions to identify a pilus colonization factor coordinately<br />

regulated with cholera Toxin . Proc. Natl. Acad. Sci. USA., 84: 2833-<br />

2837. PMCID: PMC304754.<br />

Walder MK, Mekalanos JJ (1996). Lysogenic conversion by a<br />

filamentous phage encoding cholera toxin. Science, 272:1910-1914.<br />

PMID: 8658163.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5193-5197, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1562<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Repellent and fumigant activity of Alpinia officinarum<br />

rhizome extract against Tribolium castaneum (Herbst)<br />

Jianhua Lu*, Jiejing Wang, Ya Shi and Lailin Zhang<br />

School of Food Science and Technology, Henan University of Technology, Zhengzhou 450052, China.<br />

Accepted 23 April, 2012<br />

The plant extract was prepared by Soxhlet method with anhydrous diethyl ether from Alpinia<br />

officinarum rhizome, a traditional Chinese herbal plant, and its repellent and fumigant activity was<br />

investigated against Tribolium castaneum (Herbst) adults. The A. officinarum rhizome extract had<br />

potent repellent activity against T. castaneum adults with over 80% repellency values at the tested<br />

concentration (A. officinarum extract: acetone = 1:10, v/v) during 48 h of exposure time. A. officinarum<br />

rhizome extract exhibited strong fumigant activity in a dosage-dependent manner against T. castaneum<br />

adults with 75% mortality at a dosage of 80 µl/l air after 48 h exposure. These naturally occurring plant<br />

extracts could be useful for managing populations of T. castaneum.<br />

Key words: Alpinia officinarum rhizome extract, Tribolium castaneum (Herbst), fumigant activity, repellent<br />

activity, plant extract.<br />

INTRODUCTION<br />

The red flour beetle, Tribolium castaneum (Herbst)<br />

(Coleoptera: Tenebrionidae) is one of the most serious<br />

pest of stored grains and processed foods throughout the<br />

world (Lee et al., 2002a). Currently, control of T.<br />

castaneu population is primarily dependent upon<br />

intensive use of phosphine (White and Leesch, 1995).<br />

However, its repeated use for decades has disrupted<br />

biological control by natural enemies and led to serious<br />

problems including insecticide resistance, environmental<br />

and human health concerns, rising cost of production and<br />

lethal effects on non-target organisms (Rajendran and<br />

Narasimhan, 1994; Jembere et al., 1995; Okonkwo and<br />

Okoye, 1996; Jovanović et al., 2007). Development and<br />

implementation of alternative control strategies and<br />

integrated pest management systems have recently been<br />

considered to be the only solution to combat these<br />

increasing insecticide-resistant insect pests (Kim et al.,<br />

2003; Tapondjoua et al., 2005).<br />

Plant-derived insecticides may provide potential<br />

alternatives to currently used insect-control agents<br />

because they are natural source of bioactive chemicals<br />

*Corresponding author. E-mail: jianhlv@yahoo.com.cn.<br />

with complicated action mechanism, to which the insect<br />

pests are difficult to produce resistance, readily<br />

biodegradable, often less toxic to mammalian and with<br />

less or negligible danger to the environment if used in<br />

suitable amounts. Particularly, because of the<br />

unacceptable high cost and difficulty of researching and<br />

developing new synthetic insecticides, recent research<br />

has focused on natural product alternatives for pest<br />

control in developing countries and for organic food<br />

production in industrialized countries (Boekea et al.,<br />

2004; Isman, 2006, 2008; Liu et al., 2007; Rajendran and<br />

Sriranjini, 2008; Nerio et al., 2009; Paul et al., 2009).<br />

Many Chinese herbal plants are potential sources of<br />

pesticides and have exhibited potent toxic bioactivity to<br />

stored-grain insects (Yang and Tang, 1988; Wang et al.,<br />

2006; Liu et al., 2007). In fact, as a traditional Chinese<br />

herbal plant (Lee et al., 2003; Fan et al., 2007), the<br />

rhizome of A. officinarum Hance (Zingiberales:<br />

Zingiberaceae) has also for many generations been used<br />

as a traditional method by farmers to protect stored<br />

products from insect infestation in China. However,<br />

bioactivity of plant extract from A. officinarum against T.<br />

castaneum has not been investigated so far.<br />

Thus, we evaluated the potential repellent and fumigant<br />

activity of plant extract obtained from A. officinarum


5194 Afr. J. Microbiol. Res.<br />

rhizome against adults of T. castaneum in the laboratory.<br />

MATERIALS AND METHODS<br />

Insects<br />

Cultures of the red flour beetle, T. castaneum, were maintained in<br />

the laboratory without exposure to any insecticide at the Institute of<br />

Stored Product Insects of Henan University of Technology. They<br />

were reared on wheat flour and rolled oats (6:1, w/w) at 25 to 29°C,<br />

70 to 80% relative humidity and a 12:12 light:dark photoperiod.<br />

Healthy, consistent and two-week-old adults were randomly chosen<br />

for bioassays.<br />

Preparation of the plant extract<br />

The A. officinarum rhizome was purchased from a traditional<br />

Chinese medicine store. It was identified by the Biology Department<br />

of Zhengzhou University, then dried at room temperature and finely<br />

ground to powder. Each 50 g of the powder was extracted by<br />

Soxhlet method with 250 ml anhydrous diethyl ether until the<br />

distilled liquid was colorless. The solvent was evaporated under<br />

vacuum in a rotary evaporator. The plant extract was stored in<br />

airtight fuscous glassware in a refrigerator at 4°C.<br />

Repellency bioassay<br />

The repellent effect of the A. officinarum rhizome extract against T.<br />

castaneum adults was evaluated using the area preference method.<br />

Test areas consisted of Whatman No.1 filter paper cut in half<br />

(Ф12.5 cm). The A. officinarum rhizome extract was dissolved in<br />

acetone (1:10, v/v). Then, 1 ml of the solution was uniformly applied<br />

to a half-filter paper disc using a micropipette. The other half of the<br />

remaining filter paper was treated with 1 ml acetone alone and used<br />

as control. Chemically treated and control half discs were air-dried<br />

for about 10 min to evaporate the solvent completely. Full discs<br />

were subsequently remade by attaching treated halves to untreated<br />

halves with clear adhesive tape. Each remade filter paper disc was<br />

tightly fixed on the bottom of a 12.5 cm diameter Petri dish daubed<br />

with polytetrafluoroethylene (PTFE) on the inside wall to avoid the<br />

insects escaping. Then 30 unsexed adults of T. castaneum were<br />

released at the center of the filter paper disc and the Petri dishes<br />

were subsequently covered and kept in incubators at 25 to 29°C<br />

and 70 to 80% relative humidity. Each treatment was replicated 4<br />

times and the number of insects present on the control (Nc) and<br />

treated (Nt) areas of the discs was recorded after 12, 24, 36, 48 and<br />

72 h, respectively.<br />

Percentage repellency (PR) values were calculated as follows:<br />

PR = [(Nc - Nt) / Nc]100%<br />

The mean percentage repellency value was calculated and<br />

assigned to repellency classes (Juliana and Su, 1983) from 0 to V:<br />

class 0 (PR< 0.1%), class I (PR = 0.1 to 20%), class II (PR = 20.1<br />

to 40%), class III (40.1 to 60%), class IV (60.1 to 80%) and class V<br />

(80.1 to 100%).<br />

Fumigant activity<br />

Fumigant activity on T. castaneum adults was carried out with 25<br />

unsexed adults exposed in a 250 ml flask tightly sealed with a<br />

rubber stopper. The flask contained 10 g wheat at about 13.5%<br />

equilibrium moisture content. An aliquot of 0, 2.5, 5, 10 and 20 µl of<br />

the plant extract dissolved in 1 ml acetone was evenly applied to a<br />

Whatman No.1 filter paper strip (7 × 9 cm) corresponding to<br />

dosages of 0, 10, 20, 40 and 80 µl/l air, which was then dried in air<br />

for 10 min prior to being fixed on the rubber stopper by a staple at<br />

one end. The rubber stopper was tightly stuffed to keep the filter<br />

paper suspending in the top of the flask. Care was taken to avoid<br />

the filter paper contacting the flask wall. The flask was placed in the<br />

incubators at 25 to 29°C and 70 to 80% relative humidity. Four<br />

replicates were conducted. After 48 h exposure, insects were<br />

moved into clean vials and mortality determined immediately.<br />

Insects showing any movement were considered to be alive.<br />

Statistical analysis<br />

The percentage mortality was corrected by the Abbott (1925)<br />

formula. The percentage mortality was determined and transformed<br />

to arcsine square root values for analysis of variance (ANOVA).<br />

Treatment means were compared and separated by Scheffe’s test<br />

at P = 0.05. The LD50 value was calculated using probit analysis<br />

(Finney, 1971).<br />

RESULTS<br />

Repellent activity<br />

The A. officinarum rhizome extract showed potent<br />

repellent activity against T. castaneum adults during the<br />

whole exposure time. Percentage repellency values<br />

always kept over 80% at class V at the tested<br />

concentration (A. officinarum extract: acetone = 1:10, v/v)<br />

within 48 h of exposure (Figure 1).<br />

Fumigant activity<br />

A. officinarum rhizome extract had strong fumigant<br />

activity in a dosage-dependent manner against T.<br />

castaneum adults (df = 4,P < 0.05). At a dosage of 80<br />

µl/l air, the A. officinarum rhizome extract induced 75%<br />

mortality of T. castaneum adults after 48 h exposure<br />

(Figure 2).<br />

From the probit analyses for mortality of T. castaneum<br />

adults after 48 h of exposure to A. officinarum rhizome<br />

extract, the calculated regression line equations was Y =<br />

2.01X + 1.72 (� 2 = 1.67, p = 0.43) for T. castaneum<br />

adults, the LD50 value and its confidence limit were 42.42<br />

µl/l and 35.74-52.67 µl/l, respectively.<br />

DISCUSSION<br />

In our study, A. officinarum rhizome extract showed<br />

promise as a repellent and fumigant for the control of T.<br />

castaneum adults. Similarly, the crude seed extracts of<br />

Aphanamixis pofystachya were strong repellents and<br />

moderate feeding deterrents to T. custuneum. The<br />

ground leaves, bark and seeds of A. pofystachya in a<br />

2.5% mixture provided some protection for wheat flour by


Percentage repellency (%)<br />

Percentage repellency(%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

a<br />

a<br />

a<br />

12 24 36 48 72<br />

Exposure time (h)<br />

Exposure time (h)<br />

Figure 1. Repellent activity of the A. officinarum rhizome extract against T. castaneum adults.<br />

Mortality (%)<br />

Mortality (%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

e<br />

d<br />

c<br />

0 10 20 40 80<br />

Dosage (µl/l)<br />

Figure 2. Fumigant activity of the A. officinarum rhizome extract against T. castaneum adults.<br />

reducing F1 progeny (Talukder and Howse, 1995). Ho et<br />

al. (1996) found that the essential oil of garlic killed 100%<br />

of eggs at 4.4 mg/cm 2 , using the filter paper impregnation<br />

bioassay. Evodia rutaecarpa essential oil exhibited strong<br />

contact toxicity against T. castaneum adults (LD50 = 0.118<br />

mg/mg body wt) and larvae (LD50 = 0.093 mg/mg body<br />

wt), fumigant activity (LC50 = 11.7 mg/l air), repellent<br />

activity to T. castaneum adults (Liu and Ho, 1999). Liu et<br />

al. (2007) screened extracts of 40 species of Chinese<br />

medicinal herb from 32 different botanical families for<br />

bioactivity against Sitophilus zeamais and T. castaneum.<br />

Thirty species of Chinese medicinal herb extracts had<br />

insecticidal or feeding-deterrent activities against S.<br />

zeamais and T. castaneum. Specially, extracts of<br />

Artemisia argyi, Evodia rutaecarpa, Sophora flavescens,<br />

Litsea cubeba, Narcissus tazetta var. chinensis,<br />

Polygonum aviculare, Dictamnus dasycarpus,<br />

Rhododendron molle, Stemona sessilifolia, Tripterygium<br />

b<br />

a<br />

a<br />

b<br />

Lu et al. 5195<br />

wilfordii, and Torreya grandis showed the strongest<br />

bioactivity. Elletaria cardamomum oil signifficantly (P <<br />

0.05) reduced the hatching of T. castaneum eggs and the<br />

subsequent survival rate of the larvae in the<br />

concentration range 1.04 to 2.34 mg cm -2 . E.<br />

cardamomum oil was also drastically reduced of T.<br />

castaneum adult emergence and totally suppressed its<br />

F1 progeny production at a concentration of 5.3 × 10 3<br />

ppm (Huang et al., 2000). Lee et al. (2002b) reported that<br />

the essential oil from Rosmarius officinalis had the most<br />

potent fumigant toxicity against the red flour beetle, T.<br />

castaneum (Herbst) (LD50 = 7.8 µl/l air) followed by the<br />

oils of Citrus limonum (LD50 = 16.2µl/l air), Pimenta<br />

racemosa (LD50 = 17.8µl/l air), Citrus auratifolia (LD50 =<br />

17.9µl/l air), and Mentha piperata (LD50 = 25.8 µl/l air).<br />

The essential oil of mugwort, Artemisia vulgaris had a<br />

very strong repellent activity at a 0.6 µl/ml (v/v) and high<br />

fumigant activity with 100% mortality at 8.0 µl/ml to T.


5196 Afr. J. Microbiol. Res.<br />

castaneum adults (Wang et al., 2006). Artemisia sieberi<br />

essential oil induced 100% mortality of T. castaneum<br />

adults at the concentration of 37 ml/l and an exposure<br />

time of 24 h (Negahban et al., 2007). The percentage<br />

repellence value for the Ocimum gratissimum oil against<br />

T. castaneum after 24 h exposure was 38 to 79%.<br />

However, the T. castaneum was more tolerant to the O.<br />

gratissimum oil, with only 23% mortality after 168 h<br />

treatment with 10 ml/l air (Ogendo et al., 2008). The LC50<br />

with fiducial limits for T. castaneum exposed to Alpinia<br />

conchigera essential oils at 12, 24 and 48 h the values<br />

were; 140, 105 to 178; 97, 81 to 116 and 73, 64 to 82 µl/l<br />

in air (Suthisut et al., 2011). Moreover, many essential<br />

oils and their constituents have been studied to possess<br />

potential as alternative compounds to currently used<br />

insect-control agents for the management of populations<br />

of T. castaneum (Shaaya et al., 1991, 1997; Lee et al.,<br />

2004; Sahaf et al., 2008; Nerio et al., 2009).<br />

The observed repellent and fumigant activity against T.<br />

castaneum adults demonstrates that A. officinarum<br />

rhizome extract is a source of biologically active<br />

components which may potentially prove to be effective<br />

for integrated pest management of stored grain insects.<br />

Furthermore, as a traditional pharmaceutical agent, the<br />

A. officinarum rhizome extract is also considered to be<br />

safe for human being and the environment. Therefore,<br />

how to appropriately use the A. officinarum rhizome<br />

extract as a control agent for the management of T.<br />

castaneum may warrant further investigation.<br />

ACKNOWLEDGEMENTS<br />

This research was supported by Henan Provincial Key<br />

Scientific and Technological Project (No. 092102110022),<br />

Key Scientific Program in the Education Department of<br />

Henan Province (No. 12A210003).<br />

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insect control. J. Stored Prod. Res., 43: 126–135.<br />

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insects. J. Chem. Ecol., 17: 499–504.<br />

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essential oils from three Thai plants (Zingiberaceae) and their major<br />

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as a source of repellents, antifeedants, toxicants and protectants in<br />

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(2005). Bioactivity of cymol and essential oils of Cupressus<br />

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literature review. Econ. Bot., 42: 376–406.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5198-5204, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1619<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Detection of QnrB alleles in Enterobacteriaceae and<br />

quinolone-resistance expression<br />

Dongguo Wang 1 * + , Jin Zhang 1*+ , Haibao Wang 1 , Yongxiao Qi 2 , Yong Liang 2 and Lianhua Yu 1<br />

1 Department of Clinical Laboratory Medicine, Medical College of Taizhou University affiliated Taizhou Municipal Hospital,<br />

Taizhou, 381 Zhongshan Dong Rd. Jiaojiang District of Taizhou, 318000, P.R. China.<br />

2 Department of Lab Medicine, Medical College of Taizhou University, Taizhou, P.R. China.<br />

Accepted 14 May, 2012<br />

Plasmid-mediated resistance to quinolones in clinical isolates has been found. We have recently<br />

identified the types of the plasmid-mediated qnrB genes in Klebsiella pneumoniae, Escherichia coli and<br />

Citrobacter freundii. Through BLASTn analysis of qnrB alleles’ characteristics, we had obtained qnrB5<br />

gene and qnrB31 gene (GenBank accession number HQ418999) in plasmids of isolates of K.<br />

pneumoniae, qnrB9 and qnrB16 genes in plasmids of isolates of E. coli, and qnrB2, qnrB15 and qnrB18<br />

genes from C. freundii. And the susceptibility testing showed that the main causes of resistance to<br />

quinolone were mediated by plasmid. The analysis of the structure of qnrB alignment showed that<br />

LexA-protein-binding site was the determining gene of fluoroquinolone resistance, and if the gene exist,<br />

then strains were sensitive to fluoroquinolone and vice versa.<br />

Key words: Quinolone-resistance, QnrB, Klebsiella pneumonia, Escherichia coli, Citrobacter freundii.<br />

INTRODUCTION<br />

Plasmids carrying qnr gene have been found to transmit<br />

quinolone resistance (Martínez et al., 1998). These genes<br />

encode pentapeptide repeat protein that block the action<br />

of ciprofloxacin on bacterial DNA gyrase and<br />

topoisomerase IV (Tran and Jacoby, 2002; Tran et al.,<br />

2005), resulting in low-level quinolone resistance with an<br />

increase in Minimum inhibitory concentration (MIC) of<br />

ciprofloxacin for wild-type Escherichia coli J53 from 0.016<br />

to 0.25 μg/ml. This reduced susceptibility is most likely<br />

important in that it facilitates the selection of mutants with<br />

higher-level resistance (Martínez et al., 1998).<br />

The first plasmid-mediated quinolone resistance gene<br />

(qnr) was discovered in a Klebsiella pneumoniaee<br />

isolating from Birmingham, Alabama, 1994 (Martínez et<br />

al., 1998). It occurred in a multi resistance plasmid,<br />

pMG252, an integron-like structure near Orf513 (Tran<br />

and Jacoby, 2002). Qnr plasmids have been found in<br />

*Corresponding author. E-mail: zhangjin_jhb@163.com,<br />

wdgtzs@163.com. Tel: +86-576-88858569. Fax: +86-576-<br />

88858284.<br />

+Authors contributed equally to this work.<br />

clinical isolates of Citrobacter freundii, Enterobacter spp,<br />

E. coli, K. pneumoniaee, Providencia stuartii, and<br />

Salmonella spp, from the United States, Europe, and the<br />

Near and Far East (Cheung et al., 2005; Nordmann and<br />

Poirel, 2005). Another qnr gene, qnrS, has also recently<br />

been found in a plasmid from a strain of Shigella flexneri<br />

which was isolated in Japan (Kim et al., 2010). qnrD has<br />

also been found in four Salmonella enterica isolates<br />

which were isolated from China (Cavaco et al., 2008).<br />

Since then, qnr alleles have been discovered in clinical<br />

strains of gram-negative bacilli around the world. Qnr<br />

proteins confer quinolone resistance, and belong to the<br />

pentapeptide repeat protein (PRP) family (Guo et al.,<br />

2010).<br />

QnrB gene was found to be of most alleles in qnr<br />

families, up to now, there were 51 qnrB alleles that have<br />

been discovered in the world (see Lahey Clinic<br />

http://www.lahey.org/qnrstudies/). Recently, Thomas<br />

Guillard discovered qnrB25 (GenBank accession number<br />

HQ172108); Xia R, Guo X and Xu H discovered qnrB26;<br />

Shin JH discovered qnrB27, qnrB28, qnrB29, qnrB30, the<br />

GenBank accession number are HM439641, HM439643,<br />

HM439649, HM439650, respectively; and Wang D<br />

discovered qnrB31 (HQ418999) in K. pneumonae<br />

(http://www.lahey.org/qnrstudies/).


Table 1. Primers used for PCR and sequencing.<br />

Gene Primer Primer sequence (5’→3’)<br />

Reference<br />

Primer<br />

Annealing<br />

temperature (°C)<br />

Wang et al. 5199<br />

Size of<br />

product (bp)<br />

qnrB Forward CCTGAGCGGCACTGAATTTAT DQ777878 57 681<br />

qnrB Reverse GTTTGCTGCTCGCCAGTCGA<br />

qnrB (sequencing) Forward ATGACGCCATTACTGTATAAAAAA DQ777878<br />

qnrB (sequencing) Reverse CTAGCCAATAATCGCGATGCCA<br />

qnrA Forward GCCGTATGGATATTATTGA AY070235 57 657<br />

qnrA Reverse CTAATCCGGCAGCACTAT<br />

qnrS Forward ATGGAAACCTACAATCATAC AB178643 50 657<br />

qnrS Reverse AAAAACACCTCGACTTAAGT<br />

qnrC Forward ACTGAGTTGGCTCATGTAGC EU917444 50 666<br />

qnrC Reverse CCATTAAGTGACCCGTTG<br />

qnrD Forward ACTAACTCGCCGTTTAACAT EU917444 51 645<br />

qnrD Reverse TACCACATTGGGGCATTAGG<br />

We have recently identified the types of the plasmid-<br />

mediated qnrB genes in K. pneumoniae, E. coli and C.<br />

freundii. This study was conducted in order to compare<br />

the characteristics and prevalence of the plasmidmediated<br />

qnrB alleles gene among K. pneumoniae, E.<br />

coli and C. freundii, which were isolated from different<br />

specimens from 2008 to 2010 in Taizhou Municipal<br />

Hospital of China.<br />

MATERIALS AND METHODS<br />

Strains<br />

We have tested 90 cases of the qnr genes that were resistant to<br />

quinolone for Enterobacteriaceae, in which 36 isolates were K.<br />

pneumoniae, 34 isolates were E. coli and 20 isolates were C.<br />

freundii. The qnr gene were identified by amino acid sequence<br />

(Strahilevitz et al., 2009). All K. pneumoniae, E. coli and C. freundii<br />

were isolated from different specimens from 2008 to 2010 in<br />

Taizhou Municipal Hospital of China, which sufficient amount of<br />

bacteria could be obtained from blood for culturing. The samples<br />

were cultured directly on MacConkey agar (Difco) and were<br />

identified as K. pneumoniae, E. coli and C. freundii using<br />

biochemical procedures (Chen et al., 2004).<br />

Conjugation and susceptibility testing<br />

According to Wang et al. (2003), conjugation experiments were<br />

carried out in LB broth with E. coli J53 Az R (resistance to sodium<br />

azide) as the recipients, polymerase chain reaction (PCR) positive<br />

strains as donor strains. Cultures of donor and recipient cells in<br />

logarithmic phase (0.5 ml of each) were added to 4 ml of fresh LB<br />

broth and incubated overnight without shaking. Transconjugants<br />

were selected on Trypticase soy agar (TSA) plates containing<br />

sodium azide (300 mg/L) and ciprofloxacin (0.03 mg/L), and then<br />

incubated to 18-24 h at 35°C. To determine if quinolone resistance<br />

was co-transferred, MICs for the donor, recipient, and<br />

transconjugant strains were compared (Kim et al., 2010). The MICs<br />

were determined by broth dilution and interpreted according to<br />

Clinical and Laboratory Standards Institute guidelines (CLSI, 2011).<br />

PCR-amplified and sequencing<br />

To investigate the genetic characteristics of the qnrB allele gene in<br />

K. pneumoniaee, E. coli../../../../Program Files/Youdao/Dict4/resultui/queryresult.html,<br />

C. freundii and their E. coli transconjugants,<br />

PCR amplification was performed to analyze qnr genes used<br />

primers listed in Table 1. Corresponding sense and antisense<br />

strands were obtained through positive results of DNA sequencing,<br />

then sequencing results were assembled. The analysis of all genes<br />

was performed through BLASTn program (http://blast.ncbi.nlm.nih.gov/).<br />

Plasmid analysis<br />

To study the plasmids carrying qnrB2, qnrB5, qnrB9, qnrB15,<br />

qnrB16, qnrB18 and qnrB31 genes mapping, the plasmids DNA<br />

was extracted (Axygen kit, USA) and separated by 0.6% agarose<br />

gel electrophoresis (60 V, 90 min), and then the different sizes of<br />

plasmid DNA fragments were cut and recycled (Promega, USA).<br />

Used each of recycled plasmid DNA as template, PCR was<br />

conducted to amplify qnrB2, qnrB5, qnrB9, qnrB15, qnrB16, qnrB18<br />

and qnrB31genes, where the initial position of all genes plasmids<br />

was determined. The primers used for qnrB were all listed in Table<br />

1. The estimated size of plasmid DNA was referenced (Wang et al.,<br />

2003).<br />

RESULTS AND DISCUSSION<br />

Susceptibility testing<br />

The MICs results were shown in Table 2. And we could<br />

see that the isolates of K. pneumoniaee, E. coli../../../../


5200 Afr. J. Microbiol. Res.<br />

Table 2. Characteristics of isolates for K. pneumoniaee, E. coli, C. freundii and their E. coli transconjugants.<br />

Donor bacteria Amino acid point mutations a<br />

K. pneumoniaee (36)<br />

3 (3/36=8.3%)<br />

1 (1/36=2.8%)<br />

E. coli (34)<br />

2 (2/34=5.9%)<br />

1 (1/34=2.9%)<br />

C. freundii (20)<br />

1 (1/20=5.0%)<br />

1 (1/20=5.0%)<br />

1 (1/20=5.0%)<br />

Ala(N)2→Thr(T), Iie(I)20→Val(V),<br />

Ser(S)79→Val(V), Iie(I)142→Met(M),<br />

Iie(I)144→Thr(T), Asn(N)198→Ser(S)<br />

Arn(N)27→Leu(L), Ser(S)79→Ala(A),<br />

Arg(R)87→Ser(S), Gly(G)188→Arg(R),<br />

Val(V)212→Iie(I)<br />

Ser(S)79→Ala(A), Iie(I)142→Met(M),<br />

Val(V)212→Iie(I)<br />

Ser(S)79→Ala(A), Iie(I)142→Met(M),<br />

Ala(A)144→Thr(T), Val(V)212→Iie(I)<br />

Asp(D)11→Ala(N), Ser(S)79→Ala(A),<br />

Iie(I)142→Met(M),Gly(G)188→Arg(R),V<br />

al(V)212→Iie(I)<br />

Glu(E)20→Asp(D), Ser(S)79→Ala(A),<br />

Iie(I)142→Met(M)<br />

Asp(D)11→Ala(N), Ser(S)79→Ala(A),<br />

Iie(I)142→Met(M),Gly(G)188→Arg(R),<br />

Val(V)212→Iie(I)<br />

qnr<br />

gene<br />

MICs(μg/ml) b<br />

NAL OFL LVN CIP<br />

qnrB5 >256 8-16 4-8 2<br />

qnrB31 >256 16 8 4<br />

qnrB9 >256 16-32 8-16 2-4<br />

qnrB16 >256 8-16 4-8 2-4<br />

qnrB2 >256 8-16 4-8 2-4<br />

qnrB15 >256 8-16 4-8 2-4<br />

qnrB18 >256 8-32 4-8 2-4<br />

E.coliJ53AZ R 2 0.0039 0.0019 0.0019<br />

Transconjugants<br />

KP1-E.coliJ53 qnrB5 8-16 0.25- 0.50 0.064-0.128 0.064-0.128<br />

KP2-E.coliJ53 qnrB31 8 0.25 0.064 0.064<br />

EC1-E.coliJ53 qnrB9 8-16 0.25-0.50 0.064-0.128 0.064-0.128<br />

EC2-E.coliJ53 qnrB16 16 0.50 0.128 0.128<br />

FC1-E.coliJ53 qnrB2 16 0.25 0.064 0.064<br />

FC2-E.coliJ53 qnrB15 16 0.50 0.128 0.128<br />

FC3-E.coliJ53 qnrB18 8 0.25 0.064 0.064<br />

a Amino acid point mutations were compared with qnrB1 gene (http://www.lahey.org/qnrstudies/). b NAL, nalidixic acid, OFX, ofloxacin, LVX,<br />

levofloxacin, CIP, ciprofloxacin.<br />

Program Files/Youdao/Dict4/resultui/query-result.html<br />

and C. freundii showed resistance to ofloxacin,<br />

levofloxacin, ciprofloxacin, and nalidixic acid.<br />

Furthermore, the MICs of plasmid transconjugantswere<br />

significantly higher than E. coli J53 Az R , the tests of<br />

transconjugants were successful, it illustrated that the<br />

main causes of resistance to quinolone were mediated by<br />

plasmid.<br />

The comparison and analysis of variable sites in<br />

qnrB alleles<br />

QnrB2, qnrB5, qnrB9, qnrB15, qnrB16, qnrB18 and<br />

QnrB31 that we had achieved were compared with other<br />

qnrB alleles, and the amino acid sequence diagram was<br />

made as Table 3. From Table 3, we could clearly identify<br />

the qnrB variable sites and variable


Table 3. Amino acid substitutions in qnrB1 to qnrB31 a .<br />

Allele<br />

Amino acid change at position<br />

2 7 11 18 20 21 22 27 35 36 55 60 69 74 79 80 87 94 11<br />

8<br />

12<br />

9<br />

14<br />

2<br />

14<br />

4<br />

14<br />

7<br />

15<br />

1<br />

16<br />

2<br />

16<br />

3<br />

16<br />

8<br />

17<br />

1<br />

18<br />

6<br />

18<br />

8<br />

19<br />

8<br />

Wang et al. 5201<br />

qnrB1 A G D E I E N N L S N M C A S S R A N V I A L F S T A F I G N S L M V I<br />

qnrB2 N A M R I<br />

qnrB3 K M<br />

qnrB4 T V N I N S M T S V S L M<br />

qnrB5 T V V M T S I<br />

qnrB6 A M<br />

qnrB7 A M T I<br />

qnrB8 T V I V A M T L S T A<br />

qnrB9 A M I<br />

qnrB10 T V V M T<br />

qnrB11 T A V I V S M T S V S I L M<br />

qnrB12 T A V I V S M T S V S I L<br />

qnrB13 A M R I<br />

qnrB14 D A M T I<br />

qnrB15 S A N M I<br />

qnrB16 A M T I<br />

qnrB17 M<br />

qnrB18 D A M<br />

qnrB19 T V V M T S<br />

qnrB20 N A M R<br />

qnrB21 T V I V A M T L S T S A<br />

qnrB22 T V C N I N S M T S V V S L M<br />

qnrB23 Y A M I<br />

qnrB24 M V A M<br />

qnrB25 V I V S A M T L S T S A I<br />

qnrB27 T S V A S M T A A S A<br />

qnrB28 T S V V S M T A A S A<br />

qnrB29 V A M<br />

qnrB30 S A M<br />

qnrB31 L A S M R I<br />

a Variations from the qnrB1 sequence numbered from the second potential ATG initiation codon are shown (http://www.lahey.org/qnrstudies/).<br />

20<br />

2<br />

20<br />

4<br />

20<br />

5<br />

21<br />

2<br />

21<br />

3


5202 Afr. J. Microbiol. Res.<br />

Figure 1. (a) Sequence alignment of the qnrB promoter and qnrB alleles. The –10 promoter elements are indicated; the +1 start site<br />

is represented by an arrow; the start of the qnrB coding sequence is indicated by a dashed-open frame and the consensus sequence<br />

of the LexA-protein-binding site is boxed. Sequence accession numbers DQ351241, DQ351242, DQ303920, DQ303921, DQ303919,<br />

EF520349, EU043311, EU043312, EF526508, DQ631414, EF653270, AM774474, EU273755, EU273757, EU302865, EU136183,<br />

AM919398, AM919399, EU432277, AB379831, FJ611948, FJ981621, FJ981622, HM192542, HQ172108, HM439641, HM439643,<br />

HM439649, HM439650 and HQ418999 for sequences with promoter regions for qnrB1, qnrB2, qnrB3, qnrB4, qnrB5, qnrB6, qnrB7,<br />

qnrB8, qnrB9, qnrB10, qnrB11, qnrB12, qnrB13, qnrB14, qnrB15, qnrB16, qnrB17, qnrB18, qnrB19, qnrB20, qnrB21, qnrB22,<br />

qnrB23, qnrB24, qnrB25, qnrB27, qnrB28,, qnrB29, qnrB30 and qnrB31 (to date Dec. 2010) and (b) Diagrammatic drawing of qnrB<br />

allele sequences.


composition in qnrB alleles. Although variable sites were<br />

fixed relatively in qnrB alleles and the base composition<br />

was different in variable sites, the expression of the<br />

amino acid composition was largely identical only with<br />

minor differences. It illustrated the bases of qnr alleles<br />

existed certain numbers of "silent" mutations, which<br />

should arouse people's attentions. Based on plasmid<br />

analysis (Figure 1), there were two or three different<br />

length plasmids in isolates. The qnrB2, qnrB5, qnrB9,<br />

qnrB15, qnrB16, qnrB18 and qnrB31genes located in<br />

about 23.1 kb length plasmids, respectively.<br />

Prevalent distribution of qnr alleles<br />

After BLASTn through detection of qnrB alleles for 36<br />

isolates of K. pneumoniae which were resistant to<br />

quinolones, we had achieved qnrB5 gene and qnrB31<br />

gene (GenBank accession number HQ418999) in<br />

plasmids of 3 isolates of K. pneumoniae and plasmid of 1<br />

isolate of K. pneumoniae. The positive rates of qnrB5 and<br />

qnrB31 genes in 36 isolates of K. pneumonia were<br />

accounted for 8.3 and 2.8%.<br />

After BLASTn through detection of qnrB alleles for 34<br />

isolates of E. coli which were resistant to quinolones, we<br />

had achieved qnrB9 and qnrB16 genes in plasmids of 2<br />

isolates of E. coli and plasmid of 1 isolate of E. coli. The<br />

positive rates of qnrB9 and qnrB16 genes were<br />

accounted for 5.9 and 2.9%.<br />

After BLASTn through detection of qnrB alleles for 20<br />

isolates of C. freundii which were resistant to quinolones,<br />

we had achieved qnrB2, qnrB15 and qnrB18 genes in<br />

plasmids of 3 isolates of C. freundii. The positive rate of<br />

qnrB2, qnrB15 and qnrB18 genes were accounted for<br />

5.0, 5.0 and 5.0%, respectively.<br />

We did not detect qnrA, qnrS, qnrC and qnrD genes,<br />

but obtained the corresponding qnrB alleles by<br />

transconjugant with E. coli J53 Az R (Table 2). It showed<br />

that the plasmid-mediated qnrB genes were prevalent in<br />

our region, and we should pay more attention.<br />

The structure of qnrB alignment and quinoloneresistance<br />

expression<br />

Until now, a total of 51 qnrB alleles have been found.<br />

According to previous report (Da Re et al., 2009), we<br />

have analysed the qnrB gene as described in Table 3. A<br />

complete qnrB gene sequences consists of three parts<br />

sequence of different meanings: promoter sequence from<br />

-35 to -10 regions, the consensus sequence of the LexAprotein-binding<br />

site and the qnrB coding sequence. The<br />

consensus sequence of the LexA-protein-binding site is<br />

the most key sequence for quinolone-resistance (Da Re<br />

et al., 2009; Wang et al., 2009). If any kind of quinolone<br />

antibiotic could make the consensus sequence of the<br />

LexA-protein-binding site open and truncated, and only<br />

leave the promoter sequence and the qnrB coding<br />

Wang et al. 5203<br />

sequence in qnrB alignment, the isolates would express<br />

quinolone-resistance (Figure 1). The isolates of K.<br />

pneumoniaee, E. coli../../../../Program Files/Youdao/Dict4-<br />

/resultui/queryresult.html and C. freundii showed<br />

resistance to ofloxacin, levofloxacin, ciprofloxacin, and<br />

nalidixic acid in our experiments (Table 2), suggesting<br />

that the LexA-protein-binding site had been made open<br />

and truncated. On induction of the SOS response, taking<br />

ciprofloxacin for example, single stranded DNA (ssDNA)<br />

is produced and the co-protease activity of the RecA<br />

protein is activated by binding to ssDNA. As described to<br />

Da Re et al. (2009), the interaction between LexA and the<br />

nucleoprotein filament RecA/ssDNA results in<br />

autoproteolytic cleavage of LexA, and subsequently<br />

leading to qnrB derepression. Induced expression of qnrB<br />

leads to an increase in the ciprofloxacin minimal inhibitory<br />

concentration.<br />

ACKNOWLEDGEMENT<br />

The study was supported by the grant from the affiliated<br />

Taizhou Municipal Hospital of Medical College of Taizhou<br />

University and the grant from Taizhou Science and<br />

Techology Bureau in Zhejiang, P.R. China (No.081KY30).<br />

REFERENCES<br />

Cavaco LM, Hasman H, Xia S, Aarestrup M (2008). qnrD, a noval gene<br />

conferring transferable quinolone resistance in salmonella enterica<br />

serovars Kentucky and Bovismorbificans of human origin. Antimicrob.<br />

Agents Chemother., 53: 603-608.<br />

Chen X, Gao S, Jiao X, Liu X (2004). Prevalence of serogroups and<br />

virulence factors of E. coil strains isolated from pigs with postweaning<br />

diarrhea in eastern China. Vet. Microbiol., 103: 13-20.<br />

Cheung TK, Chu YW, Chu MY, Ma CH, Yung RW, Kam KM (2005).<br />

Plasmid-mediated resistance to ciprofloxacin and cefotaxime in<br />

clinical isolates of Salmonella enterica serotype Enteritidis in<br />

HongKong. J. Anti. Microb. Chemother., 56(3): 586–589.<br />

CLSI (2011). Performance standards for antimicrobial susceptibility<br />

testing; twenty-first informational supplement. Clin. Lab. Stand. Inst.,<br />

M100-S21 (1): 31.<br />

Da Re S, Garnier F, Guérin E, Campoy S, Denis F, Ploy M (2009). The<br />

SOS response promotes qnrB quinolone-resistance determinant<br />

expression. EMBO reports, 10(8): 929–933.<br />

Guo Q, Weng J, Xu X, Wang M, Wang X, Ye X, Wang W, Wang M<br />

(2010). A mutational analysis and molecular dynamics simulation of<br />

quinolone resistance proteins QnrA1 and QnrC from Proteus<br />

mirabilis. BMC Struct. Biol., 10(1): 33.<br />

Kim HB, Wang M, Ahmed S, Park CH, LaRocque RC, Faruque AS,<br />

Salam MA, Khan WA, Qadri F, Calderwood SB, Jacoby GA, Hooper<br />

DC (2010). Transferable Quinolone Resistance in Vibrio cholerae.<br />

Antimicrob. Agents Ch., 54(2): 799–803.<br />

Martínez L, Pascual A, Jacoby GA (1998). Quinolone resistance from a<br />

transferable plasmid. Lancet, 351(14): 797–799.<br />

Nordmann P, Poirel L (2005). Emergence of plasmid-mediated<br />

resistance to quinolones in Enterobacteriaceae. J. Antimicrob.<br />

Chemother., 56(3): 463–469.<br />

Strahilevitz J, Jacoby GA, Hooper DC, Robicsek A (2009). Plasmidmediated<br />

quinolone resistance: a multifaceted threat. Clin. Microbiol.<br />

Rev., 22: 664-689.<br />

Tran JH, Jacoby GA (2002). Mechanism of plasmid-mediated quinolone<br />

resistance. Proc. Nat. Acad. Sci. USA, 99(8): 5638–5642.


5204 Afr. J. Microbiol. Res.<br />

Tran JH, Jacoby GA, Hooper DC (2005). Interaction of the plasmidencoded<br />

quinolone resistance protein Qnr with E. coli DNA gyrase.<br />

Antimicrob. Agents Ch., 49(1): 118–125.<br />

Tran JH, Jacoby GA, Hooper DC (2005). Interaction of the plasmidencoded<br />

quinolone resistance protein QnrA with E. coli<br />

topoisomerase VI. Antimicrob. Agents Ch., 49(7): 3050–3052.<br />

Wang M, Jacoby GA, Mills DM, Hooper DC (2009). SOS Regulation of<br />

qnrB Expression. Antimicrob. Agents Ch., 53(2): 821–823.<br />

Wang M, Tran JH, Jacoby GA, Zhang Y, Wang F, Hooper DC (2003).<br />

Plasmid-mediated quinolone resistance in clinical isolates of E. coli<br />

from Shanghai, China. Antimicrob. Agents Ch., 47(7): 2242–2248.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5205-5209, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.059<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Analysis of bacteria associated with Acropora<br />

solitaryensis by culture-dependent and -independent<br />

methods<br />

Liu Z. H. 1,2 , Chen W. 1,2 , Gao L. 1,2 , Zhao JJ 1,2 , Ren C.H. 1 , Hu C. Q. 1 and Chen C. 1,2 *<br />

1 The Key Laboratory of Marine Bio-resources Sustainable Utilization(LMB), South China Sea Institution of Oceanology,<br />

Chinese Academy of Sciences,Guangzhou, 501301, China.<br />

2 The Ocean Observation and <strong>Research</strong> Station at XiSha Island, South China Sea Institution of Oceanology, Chinese<br />

Academy of Sciences, China.<br />

3 The graduate school of Chinese Academy of Sciences, Beijing, 10049, China.<br />

Accepted 23 February, 2012<br />

Diversity of bacteria associated with Acropora solitaryensis, the main species in Hermatypic corals of<br />

XiSha Island, was investigated using culture-dependent and culture-independent methods (denature<br />

gradient gel electrophoresis, DGGE). It shows rich diversity of coral-associated bacteria with abundant<br />

novel species or genus. However, the diversity gained by the two methods was different. Among the<br />

bacteria identified by DGGE, XSLJ4 (Psychrobacter sp. KOPRI 25503), XSLJ6 (Rhizobium sp.), XSLJ11,<br />

(Uncultured Pseudomonadales), XSLJ12 (Ochrobactrum sp. Yw28) and XSLJ 13 (Ochrobactrum sp.<br />

B10B)are the predominant species, while the vibrios were the predominant ones identified by bacterial<br />

culture method.<br />

Key words: Acropora solitaryensis, diversity of bacterium denature gradient gel electrophoresis (DGGE).<br />

INTRODUCTION<br />

Coral reefs, known as the oasis in desert and tropical<br />

rainforest in sea for its biodiversity and high productivity<br />

(Bjornsen et al., 1991; Rohwer et al., 2002; Rosenberg et<br />

al., 2007). However, due to the global warming and<br />

human activity, survival of coral reefs are faced with<br />

serious threat (Rosenberg et al., 2002, Luna et al., 2007).<br />

Wilkinson (2008) reported that, by 2008, the area of<br />

global coral reefs has been reduced by 19%, and nearly<br />

35% of coral reefs were in emergency or dangerous<br />

state. It is controversial how this global destruction of<br />

coral reefs occurred, but more and more evidence has<br />

pointed to the micro-organisms associated with coral<br />

reefs (Kushmaro et al., 1998; Ben-Haim et al., 1999,<br />

2003; Barash et al., 2005). As the largest creature of the<br />

world, coral reef is a giant symbiont called “holobiont”<br />

*Corresponding author. E-mail: chen.chang@scsio.ac.cn. Tel:<br />

(+86)18620006618.<br />

which contained large, diverse and specific population of<br />

microorganisms (Siboni et al., 2008; Thurber et al., 2009).<br />

In addition to the algae of zooxanthellae, bacteria,<br />

archaea and eukaryote as well as viruses are all involved<br />

in construction of the holobiont. Among them, diverse<br />

bacteria are extensively distributed in the coral reefs in a<br />

species specific, tissue specific and location unspecific<br />

manner (Gast et al., 1998). Moreover, over 99% of<br />

bacteria in the coral reef are unculturable and many novel<br />

species were identified, but the roles of these bacteria in<br />

coral health and disease are largely unknown (Rohwer et<br />

al., 2001). It has become an intriguing topic for the<br />

microbiologists and substantial progress has been made<br />

in recent years.<br />

This paper attempts to use culture-dependant and<br />

culture-independent (DGGE) techniques to explore and<br />

analyse bacteria diversity of Acropora solitaryensis, that<br />

is, the main species in Hermatypic corals of XiSha, laying<br />

the foundation for the future research of coral bacterial<br />

diseases.


5206 Afr. J. Microbiol. Res.<br />

MATERIALS AND METHODS<br />

Sampling<br />

Staghorn coral (Acropora solitaryensis) were collected from 8<br />

colonies in Yongxing isle, Hainan province, China (Figure 1). Ca 0.5<br />

cm fragment was grinded with sterilized mortar and pestle and<br />

suspended in 2 ml PBS buffer followed by centrifugation at 3000<br />

rpm for 4 min to remove the big debris. 100 µl of the supernatant<br />

was spread on the 2216E plates and incubated at 30°C overnight.<br />

Identification of the culturable bacterium<br />

The bacteria growing on the 2216E plates were purified and<br />

identified by 16S rDNA sequencing. Briefly, the bacteria grow in the<br />

2216E medium and genomic DNA was prepared using a Bacteria<br />

DNA Extraction kit (Takara, Dalian, China). The fragment of 16S<br />

rDNA for sequencing was amplified with the pair of primers<br />

63F(CAGGCCTAACACATGCAAGTC) and<br />

1389R(ACGGGCGGTGTGTACAAG) in a 25 ul PCR mixture<br />

containing 10x PCR Buffer 2.5 ul, dNTP (each, 2.5mM) 2.0 ul, each<br />

primer (20 uM) 0.25 ul, rTaq (5 U/ul) 0.25 ul and 1 ul of purified<br />

DNA. PCR was performed with an initial denaturation of 95°C for 5<br />

min; followed by 30 cycles of 94°C for 1 min, 55°C for 30 s, and<br />

72°C for 2 min;. The PCR products were separated in 1.5%<br />

agarose gel and documented with image viewer. (Bio-rad, USA).<br />

16S rDNAs were sequenced by Invitrogen (Guangzhou, China),<br />

and the sequences were aligned with Blastn in NCBI website.<br />

DNA preparation for denature gradient gel electrophoresis<br />

(DGGE)<br />

Total DNA was extracted using a modified method referred to by<br />

Zhou et al. (1996) following the standard phenol/chloroform<br />

extractions. (i) 5 g coral sample was grinded with mortar and pestle<br />

in liquid N2. (ii) 13.5 ml DNA lysis buffer (100 mM Tris-HCl, pH 8.0,<br />

100 mM Na2EDTA, 100 mM Na3PO4, 1.5 M NaCl, 1% Cetyltrimethyl<br />

ammonium Bromide[CTAB],) and lysozyme(final concentration:<br />

1mg/ml) was added and shaked at 240 rpm for 30 min at 37°C,<br />

followed by addition of proteinase K (final concentration: 0.2 mg/ml)<br />

and shaked for 20 min. (iii) 100 ul of SDS (20%) was added in the<br />

tubes which were incubated in the water bath tank at 65°C for 2 h,<br />

mixing the tubes every 15 to 20 min gently. Then centrifuged at<br />

6,000 rpm for 10 min to remove the debris. (iv) The supernatant<br />

was extracted with equal volume of phenol-chloroform (24:1) twice<br />

and 0.1 volume of NaAC (pH=5.2) and 0.6 volume of isopropanol<br />

was used to precipitate the DNA at -20°C for at least 1 hr, followed<br />

by centrifugation at 14,000 g for 10 min. The DNA was washed<br />

twice with 70% cold ethanol and dissolved in 80 ul sterile water.<br />

Amplification of 16S rDNA for denature gradient gel<br />

electrophoresis (DGGE) analysis<br />

Two rounds of PCR amplification for the variable region of 16S<br />

rDNA were performed. The first round was carried out as described<br />

above except with 15 cycles, then continued the second round of<br />

PCR with the same volume and the primers are GC-<br />

341f(CGCCCGCCGCGCGCGGCGGGCGGGGCGGGGGCACGG<br />

GGGGCCTACGGGAGGCAGCAG) and 534r<br />

(ATTACCGCGGCTGCTGG) (Muyzer et al., 1993). Touch-down<br />

PCR (Davies et al., 2004) was performed with an initial denaturation<br />

step of 95°C for 5 min; followed by 20 cycles at 94°C for 1 min,<br />

65°C (-0.5°C per cycle) for 45 s, and 72°C for 1 min; followed by 10<br />

cycles of 94°C for 1 min, 55°C for 45 s, and 72°C for 1 min. The<br />

PCR products were separated in 1.5% agarose gel stained with<br />

goldview and visualized using the gel Chem. Doc (Bio-Rad, USA).<br />

Denature gradient gel electrophoresis (DGGE)<br />

DGGE was done by using the Bio-Rad D-CODE system. 6%<br />

acrylamide gel was prepared with the range of gradient from 30 to<br />

50% (100% denaturants gels defined as 7 M urea and 40%<br />

deionized formamide) and stayed at room temperature for at least 7<br />

h before use. Twenty micro liter PCR products which have been<br />

mixed with 2×loading buffer (Takara, Dalian, China) were loaded in<br />

each well. And the tank was filled with 7L 0.5× TAE as running<br />

buffer. The electrophoresis was performed at the constant voltage<br />

of 80V at 60°C for 18 h. Gels were stained with EB (Sigma) diluted<br />

in 0.5× TAE buffer (1:10,000) for 30 min and visualized by using the<br />

Gel Doc system (Bio-Rad, USA). The prominent bands on the<br />

DGGE gel were excised by using sterile scalpel blades, washed<br />

with 200 ul ultra-pure water twice and soaked in 50 ul ultra-pure<br />

water at 4°C overnight. The supernatant was harvested with<br />

centrifugation for 10 min at 12,000 rpm at 4°C. 0.5 µl of the<br />

supernatant was re-amplified with the set of primers 534r and 341fnc<br />

which has the same sequence as 341f but containing no GC<br />

clamp as described above. The PCR products was purfied and<br />

sequenced. The sequences were aligned with Blastn. Two bands<br />

which share the identity by more than 97% were considered to be<br />

the same phylotype (Stackebrandt et al., 1994), Mega 4.1 was<br />

employed to construct the phylogenetic trees based on neighborjoining<br />

algorithm (Saitou et al., 1987). Bootstrap analysis with 1,000<br />

replicated was applied to assign confidence levels to the nodes in<br />

the trees.<br />

RESULTS<br />

Bactrial communities based on culturale technique<br />

Less than 20 bacterial colonies from each sample grow<br />

on the 2216E plates which are incubated for more than 2<br />

days. 9 isolates were selected according to their colony<br />

morphology. Based on their sequences of 16S rDNA, one<br />

strain was identified as Halobacillus sp. (100% identity<br />

with H. sp) and one strain was Alteromonas sp. (with 99%<br />

identity). 7 strains were identifed as vibrio sp. It is<br />

suprising that only few colonies were isolated from all the<br />

samples, indicating that the most of the bacteria<br />

associated with coral are uncultureble under high<br />

concentration of nuitritions, and the predominant<br />

heterotrophic bacteria are vibrios.<br />

Bactrial communities based on denature gradient gel<br />

electrophoresis (DGGE)<br />

Before DGGE analysis, PCR products were checked on<br />

1.5% agarose gel. The fragments about 250 bp are<br />

expected (data not shown). DGGE analysis with a<br />

denaturing gradient from 35 to 50% showed good<br />

resolution and separation. More than 30 bands are<br />

obtained and the predominant bands are concomitant in<br />

all three samples (Figure 2). Fifteen bands that were<br />

clear and intensive were excised from acrylamide gel, reamplified<br />

and subjected to sequencing. The sequences<br />

from 14 bands were successfully determined. As shown


Figure 1. Overview the Yongxing isle. The mark represents the<br />

sampling site.<br />

Figure 2. The DGGE pattern of 16SrDNA-V3 of three<br />

Acropora solitaryensis. I,II,III separately represent of three<br />

differernt Acropora solitaryensis, 1-14 represent the bands<br />

that were excised.<br />

in Table 1, all bands are belonged to proteobacteria.<br />

Among them, 9 are Gamma-proteobacteria. 2 (XSLJ12<br />

and XSLJ13) are alpha-proteobacteria and 3 (XSLJ6,<br />

Liu et al. 5207<br />

XSLJ9 and XSLJ14) are unclassified_"Proteobacteria".<br />

Most of the sequences show identities with 16S rDNA of<br />

uncultured bacterium clone from marine environmental<br />

samples. Interestingly, none of the sequences is<br />

attributed to a defined species. The most intensive band<br />

XSLJ4 is identified as a bacterium that belongs to<br />

Psychrobacter. Bands XSLJ 2 and XSLJ 3 are also<br />

related to this genus. Bands XSLJ 12 and XSLJ 13 which<br />

are the second intensive bands are similar to the genus<br />

Ochrobactrum. Band XSLJ 6 is close to Rhizobium sp.<br />

3C6-41. The phylogenetic relationships of all the 14<br />

sequenced bands are shown in Figure 3. It clearly shows<br />

that these sequences are generally aligned into 3 clades.<br />

XSLJ2-4 is attributed to one group which is represented<br />

by culturable bacteria Psychrobacter. XSLJ1, 5, 7-11 and<br />

14 gather into a group which has close relationship with<br />

uncultured bacterium clones. XSLJ6, 12, 13 form a clade<br />

which is represented by Rhizobium sp. and<br />

Ochrobactrum sp.<br />

DISCUSSION<br />

As the result shows, the diversity of bacteria associated<br />

with Acropora solitaryensis determined by the method of<br />

culture-dependant or culture-independent exhibited great<br />

discrepancy. A very few bacteria colony and species were<br />

identified by culture on 2216E marine agar, suggesting<br />

that a large portion of bacteria associated with healthy<br />

Acropora solitaryensis are unable to be cultured under<br />

the experimental conditions. Interestingly, each method<br />

identified a distinctive group of species, and the most<br />

abundant one identified by both approaches are different,<br />

in agreement on that in many marine habitats, the most<br />

abundant microbial phylotypes have no close relationship<br />

with that have been cultured.<br />

With the culture-dependant method, three different<br />

bacterium genuses were identified. Among them, vibrios<br />

accounted for nearly 75% (7 out of 9 strains). It implied<br />

that vibrios are the dominant heterotrophic bacteria<br />

species in the niche of coral reef, which is supported by<br />

the similar results found in other coral species (Bourne et<br />

al., 2005; Ritchie, 2006). However, compared with the<br />

coastal area, the concentration of vibrios isolated from<br />

the deep sea coral is at a low level (Penn et al., 2006).<br />

Interestingly, two of the vibrio species, Vibrio shiloi and<br />

Vibrio corallyticus, have been demonstrated to infect the<br />

corals and cause pandemic coral bleaching (Reshef et<br />

al., 2006). It might be possible that the vibrios are able to<br />

be evolved in a pathogen under the stress conditions.<br />

On the contrary, the diversity of bacteria identified by<br />

DGGE is much more complex, and most of the bacteria<br />

are close to uncultured species, moreover, the identified<br />

species are novel genus or species. As suggested by<br />

Rohwer et al. (2002), 97% of the identity of 16S rDNA is<br />

used as the objective boundary for species<br />

circumscription and the identity between 97 and 93% is<br />

considered as the boundary of genus. According to this


5208 Afr. J. Microbiol. Res.<br />

59<br />

49<br />

39<br />

85<br />

49<br />

96<br />

0.02<br />

93<br />

27<br />

90<br />

19<br />

XSLJ10<br />

XSLJ8<br />

Uncultured bacterium clone TT118ant12a03<br />

Uncultured bacterium clone B4<br />

Uncultured Pseudomonadales bacterium ...<br />

Uncultured bacterium clone 080528-8<br />

XSLJ7<br />

XSLJ14<br />

Uncultured bacterium clone ncd317c01c1<br />

XSLJ1<br />

XSLJ2<br />

Psychrobacter sp. KOPRI 25503<br />

XSLJ3<br />

XSLJ4<br />

Uncultured bacterium clone nbw138d06c1<br />

XSLJ5<br />

18<br />

40<br />

Uncultured bacterium clone SN124<br />

XSLJ6<br />

Figure 3. Phylogenetic tree constructed based on bacterial 16S rDNA V3 region fragments from<br />

bacterium associtated with Acropora solitaryensis. The trees were drawn from ClustalW generated<br />

multiple sequence alignment of nucleotide sequences using the neighbor-joining method within the<br />

MEGA (4.1) package.<br />

Table 1. Blast of the V3 region sequence of 16S rDNA of bands excised.<br />

95<br />

98<br />

90<br />

99<br />

XSLJ11<br />

S/N Name Taxon The closest relatives Similarity (%)<br />

1 XSLJ1 Gammaproteobacteria Uncultured bacterium clone 080528-8 91<br />

2 XSLJ2 Gammaproteobacteria Psychrobacter sp. KOPRI 25503 92<br />

3 XSLJ3 Gammaproteobacteria Psychrobacter sp. KOPRI 25504 100<br />

4 XSLJ4 Gammaproteobacteria Psychrobacter sp. KOPRI 25503 100<br />

5 XSLJ5 Gammaproteobacteria Uncultured bacterium clone SN124 92<br />

6 XSLJ6 unclassified_"Proteobacteria Rhizobium sp. 3C6-41 98<br />

7 XSLJ7 Gammaproteobacteria Uncultured bacterium clone ncd317c01c1 98<br />

8 XSLJ8 Gammaproteobacteria Uncultured bacterium clone B4 100<br />

9 XSLJ9 unclassified_"Proteobacteria Uncultured bacterium clone 16slp96-1a04.p1k 93<br />

10 XSLJ10 Gammaproteobacteria Uncultured bacterium clone nbw138d06c1 100<br />

11 XSLJ11 Gammaproteobacteria Uncultured Pseudomonadales bacterium clone E203G05 89<br />

12 XSLJ12 Alphaproteobacteria Ochrobactrum sp. Yw28 100<br />

13 XSLJ13 Alphaproteobacteria Ochrobactrum sp. B10B 100<br />

14 XSLJ14 unclassified_"Proteobacteria Uncultured bacterium clone TT118ant12a03 91<br />

XSLJ9<br />

Rhizobium sp. 3C6-41<br />

65<br />

XSLJ12<br />

Ochrobactrum sp. B10B<br />

Ochrobactrum sp. Yw28<br />

XSLJ13<br />

Uncultured bacterium clone 16slp96-1a...


standard, XSLJ1, XSLJ2, XSLJ5, XSLJ11 and XSLJ14<br />

are attributed to new genus and XSLJ9 belongs to new<br />

species. As identified by DGGE, XSLJ4 which is identical<br />

to Psychrobacter sp. KOPRI 25503 is the dominant<br />

species. It was reported that Psychrobacter sp. can<br />

synthesis an enzyme that can adsorb heavy metal ions<br />

such as Hg 2+ that may assist Acropora solitaryensis to<br />

resist the effect of external environment toxic<br />

substances(Xuejiang et al., 2010). XSLJ6 is identical to<br />

Rhizobia sp. These genuses of bacteria are<br />

chemoautotrophic. It may provide nutrients such as the<br />

carbon and nitrogen sources for the coral (Child, 1975).<br />

Further more, it was reported to secrete polysaccharides<br />

which could enhance the immune system of Acropora<br />

solitaryensis (Djordjevic et al., 1987; Xiao-bo et al., 2006;<br />

Yan-Li et al., 2010). XSLJ12 and XSLJ13 are attributed to<br />

Ochrobactrum sp. which belongs to pale coli genera. It<br />

often lives in the niche where there are rich phosphorus,<br />

for an instance, Ca3PO4 and phosphate minerals<br />

(Palaniappan et al., 2010). It can fix nitrogen and degrade<br />

toxic organic chemicals such as phenol as well as absorb<br />

heavy metal ions (Ozdemir et al., 2003; Ngom et al.,<br />

2004; Wei et al., 2008), this function may assist A.<br />

solitaryensis to adapt to harmful stress environment.<br />

ACKNOWLEDGMENTS<br />

The study is funded by the National key technology<br />

support program (2009BAB44B02) and NSFC<br />

(30972273).<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24) pp. 5210-5214, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.199<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Simple and rapid detection of Salmonella sp. from<br />

cattle feces using polymerase chain reaction (PCR) in<br />

Iran<br />

Aida Jadidi 1 , Seyed Davood Hosseni 2 *, Alireza Homayounimehr 3 , Adel Hamidi 2 , Sepideh<br />

Ghani 4 and Behnam Rafiee 4<br />

1 Department of <strong>Microbiology</strong>, Qom Branch, Islamic Azad University, Qom, Iran.<br />

2 Department of Cellular and Molecular Biology, Razi Vaccination and Serum <strong>Research</strong> Institute, Arak, Iran.<br />

3 Department of Medical Science, Arak Branch ,Islamic Azad University, Arak, Iran.<br />

4 Young <strong>Research</strong>ers Club, Arak Branch, Islamic Azad University, Arak, Iran.<br />

Accepted 21 March, 2012<br />

The aim of this study was to employ biochemical and molecular assays to detect and diagnose<br />

Salmonella in cattle. For this reason, 1124 fecal samples were collected from cattle in Markazi provinces<br />

of Iran. Selective specific culture media for Salmonella were used to grow a number of isolates from the<br />

cattle samples. Salmonella bacteria were identified with biochemical test. The antimicrobial<br />

susceptibility test with disc diffusion method was performed on samples of Salmonella by using a<br />

molecular based approach, and it was possible to identify Salmonella sp by amplifying specific genes<br />

’’16s rRNA’’ as a step for identification. Our studies showed that the molecular-based approach are<br />

more rapid for initial detection of Salmonella SP.<br />

Key words: Salmonella, cattle, detection, polymerase chain reaction (PCR), 16s rRNA.<br />

INTRODUCTION<br />

The genus Salmonella consists of over 2668 different<br />

serotypes (Alena and Mark, 2009). Salmonellosis is<br />

responsible for large numbers of infections in both<br />

humans and animals (Keusch, 2002). Salmonella strains<br />

are not detectable in certain clinical samples that contain<br />

small numbers of organisms (Fricker, 1987). However,<br />

the number of salmonella present in the faeces of an<br />

infected individual is large, that is, approx. This level of<br />

excretion is maintained for several weeks, before falling<br />

gradually until the individual no longer excretes (Taylor<br />

and McCoy, 1969). Furthermore, after the disappearance<br />

of the organism from the intestinal tract, up to 5% of<br />

patients, upon recovery from this disease, may become<br />

carriers who shed the organism in their faeces (Jay,<br />

2000). Therefore, detection of Salmonella strains in<br />

faecal samples is not only important for the diagnosis of<br />

*Corresponding author. E-mail: hosseinida@yahoo.com.<br />

salmonellosis, but also essential to identify carriers of this<br />

organism, especially among food handlers, who have<br />

higher risks of spreading the pathogen.<br />

Majority of the human salmonellosis cases are caused<br />

by consumption of contaminated egg, poultry, pork, beef<br />

and milk products (Geimba et al., 2004). Salmonella<br />

infections in calves continue to be a major problem<br />

worldwide. Substantial economical losses were<br />

manifested through mortality and poor growth of infected<br />

animals as well as the hazard of transmitting food<br />

poisoning to humans. S. typhimurium, S. enteritidis, S.<br />

anatum S. newport, S. cerro, S. montevideo, S. agona<br />

and S. dublin was considered the major host-adapted<br />

Salmonella from cattle (Mitz et al., 1981; Konrad et al.,<br />

1994; Ritchie et al., 2001; Veling et al., 2002).<br />

Typhimurium is the most common serovar isolated from<br />

diarrheal patients, and Choleraesuis, Dublin, and<br />

Enteritidis are often isolated from patients with<br />

bacteremia (Guiney, 1995).<br />

Salmonella has been widely reported in cattle (Field,


Table 1. primer information: sequence (Seq), optical density (OD), molecular weight (MW),<br />

and temperature melting (TM).<br />

Primer name<br />

Forward<br />

Reverse<br />

Sequence (seq)<br />

5´→ 3´<br />

OD MW 100PM/ µL TM<br />

AGAGTTTGATCATGGCTCAG 3.1 6172 138 55.3<br />

5 →´3´<br />

GGTTACCTTGTTACGACTT 3/1 5784 158 52.4<br />

Table 2. Rate of isolated Salmonella sp from fecal cattle in Arak province in Iran.<br />

Samples Positive samples Positive samples (%) Negative samples Negative samples (%)<br />

1124 36 3.2 1088 96.79<br />

1948; Hughes et al., 1971; Wray et al., 1977; Hollinger et<br />

al., 1998; McDonough et al., 1999). The infected animals<br />

may shed the organism in their feces without showing<br />

any clinical signs of disease (Gibson, 1965). Thus a<br />

rapid, specific and sensitive detection method for<br />

Salmonella is important for animal and human health and<br />

for the diagnostic industry (Gouws, 1998). In this pilot<br />

study, we analyzed the 16S rRNA sequences of 36<br />

isolates of 1124 cattle samples that have been isolated in<br />

Arak province of Iran. Our goal was to establish a simple<br />

and rapid sequence-based method for molecular<br />

identification.<br />

MATERIALS AND METHODS<br />

Samples<br />

1124 fecal samples were randomly collected from 15 different farms<br />

since one month age and above, and collected during several<br />

months.<br />

Isolation salmonella<br />

Fecal samples were placed in enrichment medium and then<br />

transported to Razi Vaccination and Serum <strong>Research</strong> Institute. The<br />

samples were cultivated on to selective medium such as SS agar<br />

for 18-24 h at 37°C. For identification of salmonella colonies,<br />

samples were subjected to biochemical tests such as Triple sugar<br />

iron (TSI), Sulfide-Indole-Motility medium (SIM), (Methyl Red,<br />

Voges-Proskauer (MRVP), Urea, and Catalase and finally<br />

reconfirmed as negative-bacilli or coco bacilli by optic microscope.<br />

Antibiogram test<br />

The antimicrobial susceptibility testing with disc diffusion method<br />

was performed on samples of salmonella. The test was evaluated in<br />

Salmonella susceptibility to 16 antibiotics Including Lincospectin,<br />

Enrofloxacin, Tobramycin, Nitrofurantoin, Imipenem, Gentamycin,<br />

Doxycycline,Co-trimoxazole, Ciprofloxacin, Chloramphenicol,<br />

Cephalothin, Ceftriaxone, Cefotaxime, Cefazolin, Ampicillin,<br />

Amikacin<br />

Chromosomal DNA extraction<br />

Jadidi et al. 5211<br />

Salmonella isolates were cultivated on Luria Bertani (LB) for 18-24<br />

h at 37°C; the extraction of DNA was performed according to the<br />

method of Sambrook (2000).<br />

Primers<br />

Two universal oligonucleotides primers mentioned in Table 1 were<br />

obtained from fermentas (USA). The primers were used to amplify<br />

the sequences of 16s rRNA.<br />

Polymerase chain reaction (PCR)<br />

Amplification program was carried out as described previously,<br />

PCR was done in 25 µL reaction volumes, 2 µL of 10X PCR buffer,<br />

1 µL of MgCl2, 1 µL of 10 mM dNTP, 0/5 µL of Taq DNA<br />

Polymerase (Fermentase), 1 μl from each primer (Cinnagen), 3 µL<br />

of sample. The reaction was completed up to 25 µL with distilled<br />

water. The PCR was programed to 2 min for denaturation at 95°C,<br />

34 cycles to denaturation at 94°C for 1 min, annealing at 52°C for 1<br />

min and extraction at 72°C for 1 min following by 72°C for 10 min.<br />

Then stored at -20°C (Hosseini et al., 2003).<br />

Electrophoresis of PCR products<br />

The amplified DNA products from Salmonella spp specific-PCR<br />

were analyzed with electrophoresis on 1% agarose gels stained<br />

with ethidium bromide and visualized by UV illumination.<br />

RESULTS AND DISCUSSION<br />

36 samples out of 1124 samples from cattle feces were<br />

isolated as positive. In biochemical test, isolated<br />

salmonella sp were lactose (-), indol (-), urea (-), catalase<br />

(+), and TSI test was K/A. The entire positives were<br />

confirmed by using coloring gram and optical microscope<br />

as Gram negative bacilli and coco bacilli (Table 2). 18.2%


5212 Afr. J. Microbiol. Res.<br />

Table 3. Antibiotic resistance patterns of Salmonella isolated from samples of cattle.<br />

Antibiotic name Ampicillin Chloramphenicol Lincospectin Nitrofurantoin Doxyciclin<br />

Resistant percent 36.1% 36.1% 33.3% 8.3% 5.5%<br />

Figure 1. Representative samples determined by PCR and detected by 1 % agarose gel electrophoresis Lane M:<br />

1kb molecular size marker ladder; lane P: positive control, lanes 1 – 12: positive samples.<br />

of Salmonella typhimurium was isolated by bacte-<br />

riological examination of 66 fecal samples collected from<br />

calves suffering from watery diarrhea (Riad et al., 1998).<br />

The antibiotic disk diffusion showed that some isolates<br />

were resistant to Ampicillin (36.1%), Chloramphenicol<br />

(36.1%), Lincospectin (33.3%), Nitrofurantoin (8.3%), and<br />

Doxyciclin (5.5%). 33.3% of samples were resistant to<br />

three antibiotics. All samples showed the highest<br />

sensitivity to Ceftriaxone and Enrofloxacin (Table 3).<br />

From sampling in slaughter houses in Uganda in 2010, S.<br />

Majalija took only 1.23% of the samples; Salmonella was<br />

more resistant to the antibiotics ampicillin, kanamycin,<br />

and chloramphenicol that the public health concerns in<br />

order to control the use of antibiotics with the present<br />

results (Majalija et al., 2010).<br />

The amplified PCR products which were carried out<br />

using the universal bacterial 16srRNA primers and<br />

visualized by UV illumination showed the expected bands<br />

of about 1500 bp (Figure 1). The results demonstrated a<br />

correct genus identification of examined Salmonella<br />

isolates.<br />

The data shows the results of 36 samples, which were<br />

positive by the PCR assay and the results of the same<br />

samples was tested using the cultural method for the<br />

detection of Salmonella sp. More studies on comparative<br />

routine microbial cultures and PCR method. The need for<br />

the development of rapid and accurate detection methods<br />

for salmonella sp. has increased in recent years due to<br />

the higher incidence of salmonellosis in industrialized<br />

countries over the past decades (Tauxe, 1991; Lewis,<br />

1997). Gallegos-Robles et al., (2008) isolated and<br />

detected with microbiological and PCR methods,<br />

Salmonella sp. from fresh beef and cantaloupes.<br />

Salmonella was detected by the microbiological method<br />

in 9 of 20 samples (45%), whereas the pathogen was<br />

detected by the PCR in 11 samples (55%). That study<br />

demonstrates the utility of the PCR targeting the invA<br />

gene to determine the presence of Salmonella sp. in beef<br />

and cantaloupe samples (Gallegos-Robles et al., 2008).<br />

Salmonella strains were detected by direct PCR<br />

amplification of the hilA gene. The hilA primers are<br />

specific for Salmonella species and the PCR method<br />

presented may be suitable for the detection of Salmonella<br />

in feces (Pathmanathan et al., 2003).<br />

Assay had been used to detect Salmonella in food and<br />

beverage samples using suitable primers which were<br />

based on specific invA gene of Salmonella. The method<br />

of PCR demonstrated the specificity of invA primers for<br />

detection of Salmonella as confirmed by biochemical and<br />

serological assay. The results of this study revealed that<br />

PCR was a rapid and useful tool for detection of<br />

Salmonella in food and beverage samples (Radji et al.,<br />

2010). One searched about detection of Salmonella sp. in<br />

animal feed samples by PCR after Culture Enrichment.<br />

The result of this search showed that 8% of the samples<br />

were positive by PCR, compared with 3% with the


conventional method. The reasons for the differences in<br />

sensitivity are discussed. Use of this method in the<br />

routine analysis of animal feed samples would improve<br />

safety in the food chain (Charlotta et al., 2004).<br />

Salmonella was rapidly detected in dairy cows. All<br />

Salmonella strains were examined using PCR method.<br />

Two oligonucleotide primers were used to detect<br />

Salmonella invA gene (Eid, 2010). Salmonella dublin was<br />

detected by PCR amplification of the SopE Gene in Iran<br />

(Mirmomeni, 2008). They cause substantial economical<br />

loss both directly and and indirectly; directly though<br />

mortality and poor growth after clinical disease, and<br />

indirectly from animal carriage leading to cases of human<br />

Salmonella infection which is a serious food-borne<br />

infection in man (Ritchie et al., 2001; Donkersgoed et al.,<br />

1999; Galland et al., 2000; Rake et al., 2002). The<br />

diagnostic method currently in use for Salmonella<br />

enteritis is a time-consuming and laborious process, that<br />

is, culture of the bacteria from the stool samples.<br />

Therefore, development of a rapid and sensitive method<br />

for the diagnosis of Salmonella enteritis is desirable.<br />

Several techniques for improving the detection of<br />

Salmonella serovars in feces, such as the use of a<br />

selective culture medium and enzyme-linked<br />

immunosorbent assay have been developed. However,<br />

problems remain with sensitivity and specificity that have<br />

limited routine use of these procedures. PCR technology<br />

that allows amplification of a specific fragment of nucleic<br />

acid has been used to identify the presence of specific<br />

pathogens directly from clinical specimens, such as urine,<br />

blood, and cerebrospinal fluid specimens (Cheng-hsun<br />

and Jonathan, 1996).<br />

Conventional methods of isolation of Salmonella strains<br />

take 4–7 days to complete and are therefore laborious<br />

and require substantial manpower (Van der Zee et al.,<br />

2000). Besides, very small numbers of viable organisms<br />

present in the faeces may fail to grow in artificial<br />

laboratory media. Molecular testing has been most<br />

successful in areas for which conventional micro-<br />

biological techniques do not exist, are too slow or are too<br />

expensive (Jungkind, 2001). PCR is the best known and<br />

most successfully implemented nucleic acid detection<br />

technology to date (Nissen et al., 2002).<br />

Conclusion<br />

Salmonella are usually dispersed in the environment and<br />

animals are carriers without symptoms of disease.<br />

Prevention is not easy and depends on spending on<br />

animal husbandry and veterinary. If this patient do not<br />

diagnose early and does not treatment of affected<br />

animals could be wasting up to 75% of patients. So rapid<br />

and exact diagnosis of animal disease can prevented<br />

damages inflicted on livestock industry. Thus, there is a<br />

need for more reliable and faster methods. The PCR<br />

method has proved to be an invaluable tool for this<br />

detection.<br />

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bovine salmonellosis. J. Dairy Res., 44: 383–425.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol.6 (24), pp. 5215-5221, 28 June, 2012<br />

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

DOI:10.5897/AJMR12.522<br />

ISSN 1993-8233 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

A molecular genetic study on fruiting-body formation of<br />

Cordyceps militaris<br />

TingChi Wen 1# , MinFeng Li 2# , JiChuan Kang 1 * and Jing He 2<br />

1 Engineering <strong>Research</strong> Center of Southwest Bio-Pharmaceutical Resources, Ministry of Education, Guizhou University,<br />

Guiyang 550025, Guizhou Province, China.<br />

2 School of Life Science, Guizhou University, Guiyang 550025, Guizhou Province, China.<br />

Accepted 9 June, 2102<br />

In the fungal genus Cordyceps, the type species C. militaris produces bioactive ingredients and<br />

exhibits medicinal effects as a Traditional Chinese Medicine (TCM). Currently, the fruiting-body of C.<br />

militaris has been artificially mass-produced as functional food and medicine in China. The unstable<br />

variation in forming fruiting-body is however a restriction in the production. The genetic study on<br />

perithecial stromata (fruiting-body) formation in vitro of C. militaris has not yet been reported. In this<br />

study, we report the effect of genetic variation including possession of the mating system on perithecial<br />

stromata formation of C. militaris. The results showed that the mono-conidial isolates with both MAT1-<br />

1-1 and MAT1-2-1 (genotype MAT1-1/2) produced stromata. While the isolates having only either MAT1-<br />

1-1 or MAT1-2-1 failed to produce stromata. Despite obvious heterothallism, homothallism was<br />

occasionally observed in a few isolates of C. militaris. Genetic variation was observed amongst the<br />

different mono-conidial isolates of C. militaris. The unstable variation or loss of fruiting-body formation<br />

was caused by the inner-specific genetic variation.<br />

Key words: Cordyceps militaris, molecular genetics, genetic variation, homothallism, heterothallism, fruitingbody.<br />

INTRODUCTION<br />

The old genus Cordyceps (Fr.) Link (now belonging to the<br />

family of Cordycipitaceae, Ophiocordycipitaceae and<br />

Clavicipitaceae) is a large, cosmopolitan family,<br />

comprising of 460 to 500 species and varieties (Liu,<br />

1999; Sung et al., 2007). Most of its members are<br />

pathogenic to different insects, spiders, and few grow on<br />

hypogeal fungi of Elaphomyces spp. They are mainly<br />

distributed in sub-tropical to temperate regions of the<br />

world. In China and East Asia, many species of<br />

Cordyceps have been utilized as medicinal mushrooms<br />

for thousands of years. C. militaris, the type species of<br />

the genus, has been recently used as functional food and<br />

medicine in China. The pharmaceutical component<br />

*Corresponding author. E-mail: bcec.jckang@gzu.edu.cn. Tel:<br />

+86 851 8298675. Fax: +86 851 8297499.<br />

# Authors contributed equally to the work.<br />

namely cordycepin produced by C. militaris has been<br />

found to be effective in antitumor (Overgaard-Hansen,<br />

1964), antivirus (De Julian-Ortiz et al., 1999), antileukemic<br />

(Kodama et al., 2000), preventing and treating of obesity<br />

(Kim et al., 2008) and hypolipidemic (Zhu et al., 2003).<br />

C. militaris has been studied for the commercial<br />

production of bioactive compounds through their in vitro<br />

culture (Basith and Madelin, 1968; Pen, 1995; Wen et al.,<br />

2008; 2009). Artificial culturing of C. militaris is a good<br />

way to solve the insufficient resource from the nature.<br />

However, in the process of artificial culturing, the isolates<br />

of C. militaris showed unstable variation in forming<br />

fruiting-body. Most of the isolates failed to produce<br />

fruiting-body or produced only few deformed ones.<br />

Meanwhile other isolates, which initially produced good<br />

fruiting-body, could not produce fruiting-body with the<br />

same quality in subsequent subcultures. The degenerating<br />

of the isolates in forming fruiting-body has<br />

become a key restrictive factor in industrial production.<br />

Up-to-date there were few reports on molecular genetic


5216 Afr. J. Microbiol. Res.<br />

study of variation in fruiting-body formation and mating<br />

system of C. militaris (Shrestha et al., 2004; Yokoyama et<br />

al., 2005). Sato and Shimazu (2002) considered that C.<br />

militaris had homothallism based on the research on<br />

lepidopteran pupae. On the other hand, Shrestha et al.<br />

(2004) reported that C. militaris behaved as a bipolar<br />

heterothallic fungus and required two compatible mating<br />

strains in order to produce regular clubshaped perithecial<br />

stromata.<br />

In this study, molecular genetics of in vitro stromata<br />

formation of C. militaris has been carried out based on<br />

mono-conidial isolates and their offspring. Mating system<br />

was studied via observation of perithecial stromata<br />

formation and PCR assay. Herewith, we report the effects<br />

of genetic variation including the mating system on<br />

perithecial stromata formation and both heterothallic and<br />

homothallic sexual behavior of C. militaris.<br />

MATERIALS AND METHODS<br />

Fungal culture<br />

C. militaris isolate CGMCC2459 (namely Ori-S) were originally<br />

isolated from Sichuan province of China. The isolate was isolated<br />

from wild perithecial stromata and maintained on PDA medium at<br />

25°C for 4 days.<br />

22 mono-conidial isolates (named SSP1 to SSP22) were<br />

established from the original isolates (Liang and Fox, 1997). Ori-S<br />

was cultured until sporulation was evident (approximately 15 days).<br />

Conidia and the hyphae attached were removed with a loop and<br />

transferred to fresh medium. This was repeated for twelve<br />

successive in vitro sub-cultures (namely Deg-S). All cultures were<br />

stored at 2°C until use.<br />

Inoculum preparation and fruiting<br />

C. militaris was initially cultured on PDA in a Petri dish, and then<br />

transferred to the seed culture by punching out 5 mm of the agar<br />

disc with a sterilized self-designed cutter. The seed culture was in a<br />

250 ml flask containing 50 ml of basal medium (20 g/L sucrose, 20<br />

g/L peptone, 0.5 g/L MgSO4·7H2O and 1 g/L K2HPO4 with 1000 ml<br />

distilled water), on a rotary shaking incubator, 26°C, 130 rev/min for<br />

4 days. Fruiting medium of C. militaris was prepared by mixing 20 g<br />

of rice and 32 ml of liquid medium (20 g/L sucrose, 20 g/L peptone,<br />

0.5 g/L MgSO4·7H2O and 1 g/L K2HPO4 with 1000 ml distilled water)<br />

in cylindrical glass bottle and were autoclaved for 20 min at 121°C.<br />

Each glass bottle containing fruiting medium was inoculated with 5<br />

ml of liquid inoculum of C. militaris for in vitro fruiting. After<br />

inoculation, the bottle were incubated at 20°C under dark for 10<br />

days, then under 14:10 L:D (500 lux light) at 25°C and high<br />

humidity conditions (80 to 90%) for 50 days. All experiments were<br />

performed at least in duplicate (10 bottles as one treatment).<br />

DNA extraction and reagents<br />

Taq enzyme and dNTPs was purchased from Shanghai Sangon.<br />

An Agarose Gel DNA Purification kit ver 2.0 was purchased from<br />

TRKARA Company. Fresh, sporulating cultures on Czapek agar<br />

were used for DNA extraction following Tigano-Milani et al. (1995);<br />

the extracted DNA is stored at -20°C.<br />

PCR amplification and determination of DNA sequences<br />

In the first preliminary experiments, when different DNA extraction<br />

methods were compared, RAPD-PCR amplifications were<br />

performed with an Gene Amp PCR system 9700 (Bio-RAD) with a<br />

modified RAPD program (one cycle of 60 s at 95°C followed by 40<br />

cycles of 20 s at 94°C, 60 s at 36°C and 60 s at 72°C) . 50 μl<br />

reaction system: 10× reaction buffer 5 μl, 10 mM dNTPs 0.66 μl,<br />

random primer 2 μl, 25 mM MgC12 5 μl, 3 μl of template DNA (50<br />

ng/μl), Taq DNA polymerase 0.66 μl, ddH2O 33.68μl and 165<br />

random 10-base oligonucleotide primers (Shanghai Sangon,<br />

Shanghai, China) were used in these experiments.<br />

RESULTS AND DISCUSSION<br />

Morphological polymorphism and fruiting<br />

Amongst the 24 isolates, isolates SSP1 and SSP3<br />

(mono-conidial) and ORI-S (original) and Deg-S (subculture)<br />

produced perithecial club-shaped stromata. The<br />

other twenty mono-conidial isolates SSP2 and SSP4 to<br />

SSP22 produced either no stromata or only abnormal<br />

nonperithecial stromata.<br />

All the 24 isolates from the same original isolate<br />

differed significantly in their ability to form fruiting-body,<br />

morphological characteristics and mycelium growth rate.<br />

In particular, the difference in the 20 no fruiting monoconidial<br />

isolates SSP2 and SSP4 to SSP22 were also<br />

significantly different. These results confirmed the polymorphism<br />

in the anamorph of C. militaris (Liang and Fox,<br />

1990, 1998).<br />

RAPD<br />

Initial screening of 165 RAPD primers resulted in the<br />

identification of 25 primers that yielded unambiguously<br />

scorable bands with high reproducibility. These primers<br />

amplified between 5 and 15 bands each. The molecular<br />

weight of the PCR products ranged between 200 to 2500<br />

bp (Figure 1).<br />

The 25 oligonucleotide primers produced a total of 247<br />

bands from the 6 isolates including ORI-S, DEG-S,<br />

SSP2, SSP7, SSP19 and SSP21. Amongst them, 235<br />

RAPD markers showed polymorphism (95.14%) (Table<br />

1). The primers of S23, S30, S37, S46, S51, S61, S67,<br />

S80, S92, S103, S151, S153, S219 and S354 presented<br />

the highest polymorphism (100% of the bands).<br />

Genetic distances<br />

The genetic distances were calculated amongst the 6<br />

isolates based on null allele frequencies within each<br />

isolate (Table 2). There was great variation in the genetic<br />

distances matrix. The longest genetic distance, 0.4890,<br />

was encountered between SSP2 and DEG-S, followed by<br />

SSP2 and SSP7 (0.4889), SSP19 and SSP7 (0.4777).


Figure 1. Comparison of amplification patterns obtained by random amplified polymorphic DNA<br />

(RAPD) with the 8 primers selected (A. S151 and S153; B. S140 and S301; C. S37 and S61; D.<br />

S23 and S20) from genomic DNA of the 6 isolates (from left to right): 1. ORI-S; 2. DEG-S; 3.<br />

SSP19; 4. SSP2; 5. SSP7; 6. SSP21; M: molecular weight marker (SM0331 mix DNA ladder,<br />

Fermentas, Burlington, Canada).<br />

Table 1. Polymorphism provided by the RAPD primers.<br />

Primers codes Nucleotide sequence<br />

Number of scorable<br />

PCR products<br />

Number of polymorphic<br />

PCR products<br />

S3 CATCCCCCTG 15 14<br />

S6 TGCTCTGCCC 12 10<br />

S20 GGACCCTTAC 5 4<br />

S23 AGTCAGCCAC 8 8<br />

S26 GGTCCCTGAC 7 6<br />

S30 GTGATCGCAG 9 9<br />

S37 GACCGCTTGT 10 10<br />

S46 ACCTGAACGG 12 12<br />

S51 AGCGCCATTG 11 11<br />

S61 TTCGAGCCAG 8 8<br />

S67 GTCCCGACGA 9 9<br />

S79 GTTGCCAGCC 9 8<br />

S80 ACTTCGCCAC 12 12<br />

S90 AGGGCCGTCT 10 9<br />

S92 CAGCTCACGA 10 10<br />

S103 AGACGTCCAC 11 11<br />

S136 GGAGTACTGG 11 10<br />

S140 GGTCTAGAGG 12 10<br />

S151 GAGTCTCAGG 11 11<br />

S153 CCCGATTCGG 12 12<br />

S216 GGTGAACGCT 8 7<br />

S219 GTCCGTATGG 13 13<br />

S301 CTGGGCACGA 14 13<br />

S354 CACCCGGATG 8 8<br />

S360 AAGCGGCCTC 10 9<br />

Total 247 235<br />

Wen et al. 5217


5218 Afr. J. Microbiol. Res.<br />

Table 2. Estimation of matrix genetic distances between the 6 isolates with enset clones studied<br />

using RAPD.<br />

ORI-S DEG-S SSP19 SSP2 SSP7 SSP21<br />

ORI-S 0.0000<br />

DEG-S 0.3026 0.0000<br />

SSP19 0.3765 0.2834 0.0000<br />

SSP2 0.4656 0.4890 0.4534 0.0000<br />

SSP7 0.3865 0.4374 0.4777 0.4889 0.0000<br />

SSP21 0.3906 0.4009 0.4656 0.3684 0.4089 0.0000<br />

Figure 2. UPGMA dendrogram calculated from RAPD profiles in enset, based on matrix<br />

genetic distances among the 6 isolates.<br />

The shortest distance, 0.2834, was between SSP19 and<br />

Deg-S, followed by ORI-S and DEG-S (0.3026). These<br />

genetic distances and phenotypes were positively<br />

correlated. For example, ORI-S and DEG-S (0.3026)<br />

have the same colony and both of them can produce<br />

perithecial stromata. SSP19 and ORI-S (0.3765), SSP19<br />

and DEG-S (0.2834) also have shorter distance along<br />

with their same colony characteristics.<br />

Based on the analysis of all primers, the average<br />

genetic distances between ORI-S and no fruiting isolates,<br />

DEG-S and no fruiting isolates, ORI-S and DEG-S, and<br />

the all no fruiting isolates were 0.4048, 0.4027, 0.3026,<br />

and 0.4438, respectively. The average distance of 0.4438<br />

between no fruiting isolates showed higher diversity than<br />

those of others. These results also indicated that innerspecies<br />

genetic diversity of C. militaris was indeed high.<br />

Cluster analysis<br />

A dendrogram (Figure 2) was constructed using UPGMA<br />

program based on the matrix of genetic distance among<br />

the 6 isolates in which ORI-S, DEG-S, SSP7 and SSP19<br />

formed one cluster, while SSP2 and SSP21 formed<br />

another. Within these two clusters, SSP19 and DEG-S<br />

are more closely related isolates. This result correlated<br />

well with phenotype similarity coefficients.<br />

PCR-based assay of the genotype MAT1-2 and<br />

fruiting<br />

The primer sets of MAT1-1-1 and MAT1-2-1 used in this<br />

study (Yokoyama et al., 2004) could amplify the MAT1-1-<br />

1 gene of the 11 isolates and the MAT1-2-1 gene of the<br />

13 isolates of C. militaris with a molecular weight of 220<br />

to 250 bp respectively (Table 3, Figure 3). These results<br />

indicated that ORI-S, DEG-S, SSP1 and SSP3 which<br />

produced perithecial stromata possessed both MAT1-1-1<br />

and MAT1-2-1 genes namely the genotype MAT1-1/2.<br />

While the other isolates which could not produce<br />

stromata possessed only either MAT1-1-1 or MAT1-2-1<br />

namely the genotype MAT1-1 or MAT1-2.<br />

Isolates ORI-S and DEG-S, which were not derived


Table 3. Fruiting-body formation and mating type test of C. militaris.<br />

Strain Mating type Fruit body formation* Fruit body dry weight (g/bottle) †<br />

ORI-S MAT1-1/2 10/10 2.37<br />

DEG-S MAT1-1/2 10/10 1.92<br />

SSP1 MAT1-1/2 8/10 2.13<br />

SSP3 MAT1-1/2 6/10 1.42<br />

SSP5 MAT1-1 No fruiting 0<br />

SSP6 MAT1-1 No fruiting 0<br />

SSP8 MAT1-1 No fruiting 0<br />

SSP9 MAT1-1 No fruiting 0<br />

SSP10 MAT1-1 No fruiting 0<br />

SSP12 MAT1-1 No fruiting 0<br />

SSP14 MAT1-1 No fruiting 0<br />

SSP2 MAT1-2 No fruiting 0<br />

SSP4 MAT1-2 No fruiting 0<br />

SSP7 MAT1-2 No fruiting 0<br />

SSP11 MAT1-2 No fruiting 0<br />

SSP13 MAT1-2 No fruiting 0<br />

SSP15 MAT1-2 No fruiting 0<br />

SSP16 MAT1-2 No fruiting 0<br />

SSP19 MAT1-2 No fruiting 0<br />

SSP21 MAT1-2 No fruiting 0<br />

* Fruiting-body formation was examined in 10 trials. † Values are mean of all fruiting-body formation determinations.<br />

Figure 3. Results of PCR assay for the MAT1-2-1(A) and MAT1-1-1 (B) genes. The PCR<br />

products were electrophoresed on a 1.5% agarose gel. Lane M is a 100bp DNA ladder<br />

(Fermentas, Burlington, Canada). Lanes 1 to 20 show the PCR products of MAT1-2-1(A) and<br />

MAT1-1-1 (B) genes from C. militaris isolates ORI-S, DEG-S, SSP9, SSP2, SSP6, SSP4, SSP5,<br />

SSP7, SSP10, SSP16, SSP1, SSP11, SSP13, SSP12, SSP15, SSP8, SSP19, SP14, SSP21 and<br />

SSP3, respectively.<br />

Wen et al. 5219


5220 Afr. J. Microbiol. Res.<br />

from single conidium but a mass of conidium with a<br />

heterothallic mixture of MAT1-1 and MAT1-2 cells,<br />

possessed both MAT1-1-1 and MAT1-2-1 genes.<br />

However, isolates SSP1 and SSP3 which were derived<br />

from mono-conidium also possessed both MAT1-1-1 and<br />

MAT1-2-1 genes. One fungus that contained both<br />

homothallic and heterothallic mating system was reported<br />

in Candida albicans (Kevin, 2009), Botrytinia fuckeliana<br />

and Chromocrea spinulosa (Coppin et al., 1997). Our<br />

study demonstrated that C. militaris was both homothallic<br />

and heterothallic as isolates SSP1 and SSP3 were<br />

homothallic with the genotype MAT1-1/2, while the other<br />

isolates which possessed only either MAT1-1-1 or MAT1-<br />

2-1 with the genotype MAT1-1 or MAT1-2 were<br />

heterothallic.<br />

Mating-type genes control sexual reproduction, which is<br />

the hub of the whole sexual reproduction process.<br />

Recently, heterothallism in Cordyceps takaomontana<br />

have been reported and the mating type loci of C.<br />

takaomontana have been sequenced (Yokoyama et al.,<br />

2005; Eiji et al., 2005). Besides Clavicipitaceae family,<br />

mating systems of other filamentous Ascomycetes have<br />

been described and mating type loci have been<br />

sequenced. Until now, it has not been fully understood<br />

why certain single ascospore or conidial strain of<br />

heterothallic filamentous Ascomycetous species behave<br />

as homothallic mating system. In Neurospora crassa,<br />

bisexuality has been reported, but most of the cases<br />

might be due to simple mixtures of ascospores during<br />

isolation and further growth (Shrestha et al., 2004).<br />

Mating type heterokaryosis and self-fertility have been<br />

recently reported in Cryphonectria parasitica (McGuire et<br />

al., 2004). Similarly, it has been reported that a mating<br />

system with multiple mating type alleles exist in the<br />

filamentous ascomycete Glomerella cingulata (Cisar and<br />

TeBeest, 1999).<br />

Wang et al. (2008) reported that the genetic diversity of<br />

inter-species in Cordyceps was extremely small and did<br />

not correlate with geographical origins and types. In<br />

contrast, genetic variation from different monoconidial<br />

isolates and their serial sub-culture of inner-species in C.<br />

militaris was found in this study. It was therefore<br />

concluded that the reason for C. militaris showing<br />

unstable variation in fruiting-body formation was genetic<br />

variation of inner-species. Furthermore, the instability<br />

could reflect their loss of genotype of MAT1-1/2 in the<br />

same culture after serial sub-cultures of the same isolate<br />

(most common sub-culture method is streak plate<br />

method, there were only a few conidials random<br />

transferred to the next sub-culture as seed once a time).<br />

ACKNOWLEDGEMENTS<br />

This work was supported by the National Natural Science<br />

Foundation of China (NSFC No. 30870009), the Natural<br />

Science Foundation of Educational Council of Guizhou<br />

Province (No.[2009]0129) and the Agricultural Science<br />

and Technology Foundation of Guizhou Provincial<br />

Government of China (No. [2011]3054).<br />

REFERENCES<br />

Basith M, Madelin ME (1968). Studies on the production of perithecial<br />

stromata by Cordyceps militaris in artificial culture. Can. J. Bot., 46:<br />

475-480.<br />

Cisar CR, TeBeest DO (1999). Mating system of the filamentous<br />

ascomycete, Glomerella cingulata. Curr. Genet., 35: 127-133.<br />

Coppin E, Debuchy R, Arnaise S, Picard M (1997). Mating types and<br />

sexual development in filamentous ascomycetes. Microbiol. Mol. Biol.<br />

Rev., 61: 411-428.<br />

De Julian-Ortiz JV, Galvez J, Munoz-Collado C, Garcia-Domenech R,<br />

Gimeno-Cardona C (1999). Virtual combinatorial syntheses and<br />

computational screening of new potential anti-herpes compounds. J.<br />

Med. Chem., 42: 3308-3314.<br />

Eiji Y, Kenzo Y, Akira H (2005). Heterothallism in Cordyceps<br />

takaomontana. FEMS Microbial. Lett., 250: 145-150.<br />

Kevin A (2009). Homothallic and heterothallic mating in the<br />

opportunistic pathogen Candida albicans. Nature, 460: 890-893.<br />

Kim SK, Sung WL, Su C (2008). A pharmaceutical composition<br />

comprising cordycepin for the treatment and prevention of obesity:<br />

[P]. WO/2008/038973.<br />

Kodama EN, McCaffrey RP, Yusa K, Mitsuya H (2000). Antileukemic<br />

activity and mechanism of action of cordycepin against terminal<br />

deoxynucleotidyl transferase-positive (TdT+) leukemic cells.<br />

Biochem. Pharmacol., 59: 273-281.<br />

Liang ZQ, Fox RTV (1990). Anamoph of cordyceps militaris and artificial<br />

culture of its fruitbody. Southwest. China. J. Agric. Sci., pp. 31-36.<br />

Liang ZQ, Fox RTV (1997). Vegetative compatibility of inter-and intramonoconidium<br />

strains of anamorph of cordyceps pruinosa.<br />

Mycosystema, 16: 216-223.<br />

Liang ZQ, Fox RTV (1998). The polymorphism in the anamorph of<br />

cordyceps militaris. Mycosystema, 17: 57-62.<br />

Liu ZY (1999). Studies on relationship between Cordyceps spp. and<br />

their anamorphs. PhD dissertation. Huazhong agricultural university.<br />

China.<br />

McGuire ICP, Marra E, Milgroom MG (2004). Mating-type<br />

heterokaryosis and selfing in Cryphonectria parasitica. Fung. Gen.<br />

Biol., 41: 521-555.<br />

Overgaard-Hansen K (1964). The inhibition of 5-phosphoribosyl-1pyrophosphate<br />

formation by cordycepin triphosphate in extracts of<br />

Ehrlich ascites tumor cells. Biochim. Biophys. Acta, 80: 504-507.<br />

Pen X (1995), The cultivation of Cordyceps militaris fruitbody on artificial<br />

media and the determination of SOD. Acta. Edulis. Fungi, pp. 225-<br />

228.<br />

Sato H, Shimazu M (2002). Homothallism in Cordyceps militaris. Book<br />

of'Abstracts of the 7th International Mycological Congress, August<br />

11-17. Oslo, Norway, p. 311.<br />

Shrestha B, Kim HK, Sung GH, Spatafora JW, Sung JM (2004). Bipolar<br />

heterothallism, a principal mating system of Cordyceps militaris in<br />

vitro. Biotechnol. Bioprocess. Eng., 9: 440-446.<br />

Sung GH, Hywel-Jones NL, Sung JM, Luangsa-Ard JJ, Shrestha B,<br />

Spatafora JW (2007). Phylogenetic classification of Cordyceps and<br />

the clavicipitaceous fungi. Stud. Mycol., 57: 50-59.<br />

Tigano-Milani MS, Samson RA, Martins I, Sobral BWS (1995). DNA<br />

markers for differentiating isolates of Paecilomyces lilacinus.<br />

<strong>Microbiology</strong> (Reading, U.K.), 141: 239-245.<br />

Wang L, Zhang WM, Hu B, Chen YQ, Qu LH (2008). Genetic variation<br />

of Cordyceps militaris and its allies based on phylogenetic analysis of<br />

rDNA ITS sequence data. Fungal Divers., 31: 147-155.<br />

Wen TC, Kang JC, Li GR, Lei BX (2008). Effect of culture condition on<br />

the fruit body and cordycepin production in Cordyceps militaris in<br />

solid-state fermentation. Guizhou. Agric. Sci., 36: 92-94.<br />

Wen TC, Lei BX, Kang JC, Li GR He J (2009). Enhanced production of<br />

mycelial and cordycepin by submerged culture using additives in<br />

Cordyceps militaris. Food. Ferment. Ind., 35: 162-166.


Yokoyama E, Yamagishi K, Hara A (2004). Development of a PCRbased<br />

mating-type assay for Clavicipitaceae. FEMS Microbiol. Lett.,<br />

237: 205-212.<br />

Yokoyama E, Yamagishi K, Hara A (2005). Structures of the matingtype<br />

loci of Cordyceps takaomontana. Appl. Environ. Microbiol., 69:<br />

5019-5022.<br />

Wen et al. 5221<br />

Zhu P, Zhu HB, Zhu HX (2003). Application in preparing hypolipidemic<br />

drug from cordycepin: China. 200310101650.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5222-5228, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.528<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Cloning and prokaryotic expression of ghrelin gene in<br />

crucian carp (Carassius auratus)<br />

Chaowei Zhou, Xindong Zhang, Tao Liu, Rongbing Wei, Dengyue Yuan and Zhiqiong Li*<br />

Department of Aquaculture, College of Animal Science and Technology, Sichuan Agricultural University, Ya’an, 625014,<br />

China.<br />

Accepted 25 April, 2012<br />

To make up the flaw that there is no available information about ghrelin gene in crucian carp. The<br />

ghrelin gene was amplified by reverse transcription-PCR (RT-PCR) using total RNA extracted from<br />

intestine of crucian carp. PCR product was cloned into the pMD®19-T vector to construct pMD®19-Tghrlein<br />

for sequencing. Then the cDNA was subcloned into the prokaryotic expressing plasmid vector<br />

pET32a and was transformed into host Escherichia coli strain Rosetta for expression. In this study, 490<br />

bp fragment of ghrelin was obtained by RT-PCR. In comparison with other fishes, the amino acid<br />

sequences of ghrelin in crucian carp showed a high similarity to that of goldfish (99%). The high<br />

expression of ghrelin gene was detected in the intestine and liver by real-time PCR. IPTG at<br />

concentrations of 0, 0.1, 0.2, 0.3, 0.5, 0.7 and 1.0 mmol/L could efficiently induce the expression of pGh-<br />

32. The result showed that the optimal concentration of IPTG was 0.3 mmol/L by SDS-polyacrylamide<br />

gel electrophoresis (SDS-PAGE). The ghrelin gene expressed as early as 1 h after IPTG induction, and<br />

reached peak levels after 3 h. Successful expression of ghrelin fusion protein in prokaryotic cell could<br />

lay a basis for further study of industrial production.<br />

Key words: Crucian carp, ghrelin, cloning, prokaryotic expression.<br />

INTRODUCTION<br />

The discovery of ghrelin was reported by Kojima et al.<br />

(1999) who were searching for a ligand for an orphan G<br />

protein coupled receptor (GHS-R1a) that stimulates the<br />

secretion of growth hormone in the pituitary gland. The<br />

ghrelin possesses two forms in gastrointestinal tissue,<br />

designed n-octanoyl ghrelin and des- n-octanoyl ghrelin.<br />

The n- octanoyl ghrelin plays important roles in regulation<br />

of GH release in rat (Szczepankiewicz et al., 2010), While<br />

ghrelin activates growth-hormone secretagogue (GHS)<br />

receptor-expressing cells, the nonmodified des-n-octanyl<br />

form of ghrelin, designated as des-acyl ghrelin, does not<br />

(Hosoda et al., 2000).<br />

In mammalian, ghrelin is involved in various<br />

physiological functions other than GH release in<br />

mammals (Kojima and Kangawa, 2005; Korbonits et al.,<br />

2004; Van Der Lely et al., 2004). Ghrelin plays critical role<br />

*Corresponding author. E-mail: lizhiqiong454@163.com. Tel:<br />

86-835-2885654.<br />

in the body, such as appetite, adjusting of energy<br />

metabolism and immune system (Hattori, 2009). In<br />

human, octanoylation of the gastric peptide ghrelin could<br />

produce active forms that regulate appetite and other<br />

metabolic functions (Goodyear et al., 2010).<br />

In recent years, in teleosts, the spot of research was<br />

focus on the ghrelin. To our knowledge, the cDNA cloning<br />

and sequence analysis and appraisal of all amino acid of<br />

the ghrelin have been reported in non-mammalian<br />

vertebrates, such as goldfish (Unniappan et al., 2002),<br />

Nile tilapia (Parhar et al., 2003), Channel catfish (Kaiya et<br />

al., 2005), Sea bream (Yeung et al., 2006), Atlantic cod<br />

(Xu and Volkoff, 2009), and it demonstrated that there<br />

were invariably homology of molecular weight, amino<br />

acids and sequence in fish species, but there were no<br />

report about ghrelin in the crucian carp neither at home<br />

nor abroad.<br />

The purpose of this paper was to identify the structure<br />

of ghrelin cDNA in crucian carp, to detect ghrelin<br />

expression in the tissues and Escherichia coli (E. coli).<br />

The current study would provide useful experimental


Table 1. Primer oligonucleotide sequences and their applications.<br />

Primer name Sequence (5`→3') Size of the product (bp) Applications<br />

Ghrelin-F1<br />

Ghrelin-R1<br />

CTGTGCATTCTGCATACATATTTGAG<br />

GTTTTGGAAGATTATTACATC<br />

490<br />

Cloning of ORF<br />

Cloning of ORF<br />

Zhou et al. 5223<br />

Ghrelin-F2 CGGATCCGGCACCAGCTTCCTCAGT<br />

Prokaryotic expression<br />

248<br />

Ghrelin-R2 GCTCGAGTGAATTCAAGTGGCGA Prokaryotic expression<br />

Ghrelin-F3 GAAGAGATGTTGCAGAGCCAGAG<br />

Real time PCR<br />

152<br />

Ghrelin-R3 GCCAAGAAGATTGACCAGAACC Real time PCR<br />

β-Actin-F4 TTTGAGCAGGAGATGGGAACC<br />

Real time PCR<br />

134<br />

β-Actin-R4 AGGAAGGATGGCTGGAAAAGAG Real time PCR<br />

materials for further functional analysis of ghrelin in<br />

crucian carp.<br />

MATERIALS AND METHODS<br />

Fish for cloning crucian carp ghrelin<br />

Healthy crucian carp were purchased from a local fish nursery in<br />

Ya’an City, China and kept for survival when transported to the<br />

laboratory. After the fish were sacrificed, the tissues were frozen at<br />

liquid nitrogen and then removed and stored at -80°C.<br />

Cloning of ORF sequences of crucian carp ghrelin<br />

Total RNA was extracted from tissues of intestine of crucian carp by<br />

the TRIzol reagent (TaKaRa, Dalian, China) following the<br />

manufacturer′s protocol. The purified RNA concentration was<br />

quantified using a photometer (Bio-Rad) and the ratio of optical<br />

densities was between 1.8 and 2.0 (at 260 and 280 nm).<br />

Subsequently, RT-PCR was performed using a commercially<br />

available RT-PCR kit (TaKaRa, Dalian, China). For PCR, 100 ng of<br />

sense primer and antisense primer (Table 1) was used. The<br />

parameters for PCR were 94°C for 5 min, ×1; 94°C for 30 s; 47°C<br />

for 30 s, 72°C for 45 s, ×38; and then 72°C for 8 min. After<br />

visualizing by 1%(w/v) agarose gels electrophoresis, the PCR<br />

product was purified and cloned into plasmid vector pMD®19-T by<br />

T-A Cloing Kit (TaKaRa, Dalian, China). The recombinant plasmid<br />

of pMD®19-T-ghrlein was transformed into DH5a, cultured in LB<br />

medium at 37°C and then extracted by Sambrook′s method<br />

(Sambrook et al., 1989). The recombinant plasmid was subjected to<br />

DNA sequencing by automated sequence analysis (TaKaRa).<br />

Deducing amino acid sequence of ORF and comparison with<br />

other teleosts<br />

To compare the sequence of the ghrelin with that from other<br />

teleosts, we downloaded the ghrelin sequence of other teleosts in<br />

the NCBI database (http://www.ncbi.nlm.nih.gov/). Multiple<br />

alignments of the proteins of ghrelin ORF were constructed using<br />

ClustalX.<br />

Real time PCR<br />

Tissues (that is, intestine, liver, mesonephron, head, kidney, spleen,<br />

skin, heart, muscle, gill and pituitary gland) were pooled separately<br />

according to different tissue types from ten crucian carp and total<br />

RNA was extracted by TRIzol reagent (TaKaRa, Dalian, China). The<br />

housekeeping gene β-actin was used as the endogenous control.<br />

Primers F3/R3 and F4/R4 were employed to obtain partial fragment<br />

of ghrelin and β-actin cDNA respectively. All the primers used in the<br />

real-time PCR were listed in Table 1.<br />

Subcloning and Construction of pGh-32 recombinant plasmid<br />

pMD®19-T-ghrlein was used as a template to amplify a truncated<br />

gene encoding a signal peptide-deleted ghrelin. The gene<br />

amplification using primer F2/R2 (Table 1) resulted in the deletion of<br />

the first 78 nucleotides in the N-terminal of the ghrelin gene, and<br />

then the PCR product was purified with a commercially available kit<br />

(Keygen Biotech, Nanjing, Jiangsu, China); meanwhile, pET-32a<br />

was transformed into E. coil DH5a, and cultured in LB medium at<br />

37°C and then extracted by Sambrook′s method (Sambrook et al.,<br />

1989). The plasmid pET-32a was digested with BamHIand<br />

XhoIenzymes, and then purified with a commercially available kit.<br />

The truncated gene was cloned into the multiple cloning sites<br />

BamHIand XhoI of prokaryotic expression vector pET-32a and the<br />

authenticity of insert was confirmed by automated sequence<br />

analysis (TaKaRa).<br />

Expression of ghrelin gene<br />

The recombinant plasmid of pGh-32 was relatively cultured in LB<br />

medium at 37°C and induced by IPTG at different concentrations of<br />

0, 0.1, 0.2, 0.3, 0.5, 0.7 and 1.0 mmol/L and different times of 0, 1,<br />

2, 3, 4, 5 and 6 h. The supernatant and precipitate were separated<br />

through centrifugation after the bacterial pellet was ultrasonically<br />

broken (300V, 3×5s). The molecular mass and output of the target<br />

recombinant protein were measured by SDS-PAGE.<br />

RESULTS<br />

Cloning of crucian carp ghrelin and nucleotide<br />

sequence<br />

As shown in Figure 1, the fragment of ghrelin gene was<br />

490 bp in length and confirmed the target size. The<br />

nucleotide sequence and its deduced amino acid<br />

sequence were shown in Figure 2. The cDNA sequence<br />

included a whole Open Reading Frame (ORF), which


5224 Afr. J. Microbiol. Res.<br />

2000<br />

1000<br />

750<br />

500<br />

200<br />

100<br />

Figure 1. Amplification of ghrelin gene by RT-PCR.<br />

M, DL2, 000 DNA marker; Lane 1, PCR product of<br />

ghrelin amplification.<br />

encoded 103 amino acids. The signal peptide region<br />

included 26 amino acids in length. (GeneBank accession<br />

number: HM567312).<br />

Homology of the ghrelin gene<br />

Figure 3 revealed the amino acid sequences of ghrelin of<br />

crucian carp and other fishes. The ORF region of ghrelin<br />

gene in crucian carp presented a high similarity with<br />

those of goldfish (99%), common carp (89.4%) and zebra<br />

fish (78.8%), as all four species derived from the<br />

Cyprinidae family. However, it only showed 53.8%<br />

similarity with channel fish. Therefore, it can be<br />

concluded that this ghrelin gene was rather conserved<br />

among different fish species.<br />

mRNA expression<br />

M<br />

The expression levels of the ghrelin gene were shown in<br />

Figure 4. High expression levels were detected in the<br />

intestine and liver, followed by mesonephron, head<br />

kidney and the spleen, and the skin, heart, muscle, gill<br />

and pituitary gland showed relatively weak expression<br />

levels.<br />

1<br />

Construction and identification of the recombinant<br />

plasmid<br />

The mature peptide gene fragment was amplified from<br />

the recombinant plasmid of pMD-ghrelin by PCR with the<br />

size of 248 bp and inserted into bacterial expression<br />

vector of pET-32a. As a result, the prokaryotic expression<br />

plasmid pGh-32 was obtained. pGh-32 was amplified and<br />

purified to recycle, digested with BamHIand<br />

XhoIenzymes, and tested by 1% (w/v) agarose gels<br />

electrophoresis. The flow chart of the vector construction<br />

was shown in Figure 5.<br />

Expression of the target recombinant protein<br />

The expressed products detected with 15% SDS-PAGE<br />

and a 27.0 KDa protein band could be seen after staining<br />

with Coomassie brilliant blue R250 (Figures 6 and 7).<br />

IPTG at concentrations of 0, 0.1, 0.2, 0.3, 0.5, 0.7 and 1.0<br />

mmol/L could efficiently induce the expression of pGh-32.<br />

SDS-PAGE indicated that the optimal concentration of<br />

IPTG was 0.3 mmol/L. The ghrelin gene expressed as<br />

early as 1 h after IPTG induction, attaining peak levels<br />

around 3 h (Figure 7), the ghrelin fusion protein was<br />

mainly soluble protein and appeared in the precipitate<br />

only in a small amount (Figure 8).<br />

DISCUSSION<br />

Ghrelin plays an important role in appetite, adjusting of<br />

energy metabolism and immune system. More recently, it<br />

has been reported to be related to human diseases (Vila<br />

et al., 2007). The cDNA cloning and sequence analysis<br />

as well as appraisal of all amino acid of the ghrelin have<br />

been reported in non-mammalian vertebrates. However,<br />

no information is available on the role of ghrelin in teleost<br />

diseases. In this study, we obtained 490 bp of ghrelin<br />

which encoded 103 amino acids of ORF from the<br />

intestine of crucian carp, and the ghrelin involved 26<br />

amino acids of the signal peptide region. The mature<br />

peptide started immediately after the signal peptide and<br />

this indicated that protein will be secreted out of the cell<br />

after its synthesis (Von Heijne, 1992) which demonstrated<br />

it was the secreted protein. The the high similarity<br />

between crucian carp and other fishes was consistent<br />

with previous studies (Kaiya et al., 2003c). Many species<br />

like rainbow trout (Kaiya et al., 2003a), Janpanese eel<br />

(Kaiya et al., 2003b), and channel catfish (Kaiya et al.,<br />

2005) showed highest expression levels in the stomach.<br />

Because the crucian carp lacks a stomach, our result<br />

showed the highest expression of ghrelin mRNA was<br />

found in intestine which had been proved in Cyprinidae<br />

family (Unniappan et al., 2002). This finding indicated that<br />

ghrelin could play important roles in gastrointestinal<br />

hormone in the crucian carp.


Figure 2. Nucleotide and putative amino acids sequences of crucian carp ghrelin. Beneath the<br />

nucleotide sequence is the puttied amino acids sequence. The signal peptide region is the black box.<br />

Figure 3. Multiple alignment of the deduced amino acid sequences of ghrelin in crucian carp and other<br />

vertebrates. The multiple alignments were produced using ClustalX. ‘*’ indicates positions that have a single,<br />

fully conserved residue. ‘:’ and ‘.’ indicate positions that have strong and weak similarity, respectively. Amino<br />

acid identities (%) between crucian carp and other vertebrates are show at end of each aligned sequence.<br />

Previous study (Itakura et al., 1977) reported that it was<br />

a milestone in genetic engineering to make a foreign<br />

gene successfully expressed in E. coil with the advantage<br />

of rapid growth rate, capacity for continuous fermentation,<br />

and relatively low cost. The purpose of the current study<br />

was to obtain the high expression levels of target gene to<br />

facilitate further functional analysis. The 26-amino acid<br />

signal peptide was identified by SingalP v3.0 software,<br />

which was often useless but influenced the protein<br />

expression in prokaryotic system; therefore, we cloned a<br />

truncated gene encoding the target protein without signal<br />

peptide into prokaryotic vector pET-32a. SDS-PAGE<br />

performed in this study confirmed that a 27 KDa protein<br />

band could be seen after staining which indicated that the<br />

recombinant prokaryotic expression system of pGh-32<br />

was constructed successfully.<br />

The product of crucian carp ghrelin gene was mainly<br />

Zhou et al. 5225<br />

soluble protein, which was consistent with the pig ghrelin<br />

protein (Yang et al., 2005). Intriguingly, the ghrelin gene<br />

in Black-feather chicken was expressed in E. coli 2566 by<br />

pTYB11 prokaryotic expression plasmids and the ghrelin<br />

protein was cytorrhyctes (Dai et al., 2008). These could<br />

be explained that the vector, form or condition might<br />

impact the existing form of the ghrelin protein in the host<br />

cell, and further study needed to be continued. The<br />

output of ghrelin was relatively high (approximately 33%<br />

of the total bacterial proteins) and this was beneficial to<br />

industrial production.<br />

Conclusions<br />

In conclusion, the ghrelin gene was obtained by<br />

molecular cloning techniques and was successfully


5226 Afr. J. Microbiol. Res.<br />

Relative expression abundances of ghrelin<br />

Figure 4. Expression level of ghrelin gene in ten tissues of the crucian carp.<br />

Ghrelin<br />

Figure 5. Flow chart of the vector construction.


Figure 6. Ghrelin expression induced with different dosages of IPTG. M: Protein marker; Lane 1: Blank<br />

control; Lane 2: PET32a after induced; Lane 3: None-induced with IPTG; Lane 4-9: Induced with 0.1, 0.2,<br />

0.3, 0.5, 0.7 and 1.0 mmol/L IPTG, respectively.<br />

Figure 7. Ghrelin expression induced with IPTG at different times. M: Protein marker; Lane 1: Blank<br />

control; Lane 2: PET32a after induced; Lane 3: None-induced with IPTG; Lane 4-9: Induced with IPTG<br />

at 1, 2, 3, 4, 5 and 6 h, respectively.<br />

Figure 8. Identification of soluble protein of recombinant PET32a/ghrelin. M: Protein marker; Lane<br />

1: Blank control; Lane 2: PET32a after induced; Lane 3: None-induced with IPTG; Lane 4:<br />

PET32a/ghrelin after induced; Lane 5 and 6: Bacterial supernatant and precipitate with IPTG,<br />

respectively.<br />

Zhou et al. 5227<br />

Ghrelin<br />

Ghrelin<br />

Ghrelin


5228 Afr. J. Microbiol. Res.<br />

expressed in E. coli in this study, and this will lay the<br />

foundation for the further study on the function of this<br />

protein and its mechanism.<br />

ACKNOWLEDGEMENTS<br />

The researchers would like to thank the staff of the<br />

Department of aquaculture, Sichuan Agricultural<br />

University, Ya , an, Sichuan, China.<br />

REFERENCES<br />

Dai X, Ran X, Wang J (2008). cDNA and Genomie DNA Cloning and<br />

Expression of Ghrelin Gene in Blaek-feather Chicken of Guizhou.<br />

China Poult., 30(7): 25-28.<br />

Goodyear S, Arasaradnam RP, Quraishi N, Mottershead M, Nwokolo<br />

CU (2010). Acylated and des acyl ghrelin in human portal and<br />

systemic circulations. Mol. Biol. Rep., 37(8): 3697-3701.<br />

Hattori N (2009). Expression, regulation and biological actions of growth<br />

hormone (GH) and ghrelin in the immune system. Growth Horm. IGF<br />

Res., 19(3): 187-197.<br />

Hosoda H, Kojima M, Matsuo H, Kangawa K (2000). Ghrelin and desacyl<br />

ghrelin: two major forms of rat ghrelin peptide in gastrointestinal<br />

tissue. Biochem. Biophys. Res. Commun., 279(3): 909-913.<br />

Itakura K, Hirose T, Crea R, Riggs AD, Heyneker HL, Bolivar F (1977).<br />

Expression in Escherichia coli of a chemically synthesized gene for<br />

the hormone somatostatin. Science, 198(4321): 1056-1063.<br />

Kaiya H, Kojima M, Hosoda H, Moriyama S, Takahashi A, Kawauchi H<br />

(2003a). Peptide purification, complementary deoxyribonucleic acid<br />

(DNA) and genomic DNA cloning, and functional characterization of<br />

ghrelin in rainbow trout. Endocrinology, 144(12): 5215-5226.<br />

Kaiya H, Kojima M, Hosoda H, Riley LG, Hirano T, Grau EG (2003b).<br />

Amidated fish ghrelin: purification, cDNA cloning in the Japanese eel<br />

and its biological activity. J. Endocrinol., 176(3): 415-423.<br />

Kaiya H, Kojima M, Hosoda H, Riley LG, Hirano T, Grau EG (2003c).<br />

Identification of tilapia ghrelin and its effects on growth hormone and<br />

prolactin release in the tilapia, Oreochromis mossambicus. Comp.<br />

Biochem. Physiol. B., 135(3): 421-429.<br />

Kaiya H, Small BC, Bilodeau AL, Shepherd BS, Kojima M, Hosoda H<br />

(2005). Purification, cDNA cloning, and characterization of ghrelin in<br />

channel catfish, Ictalurus punctatus. Gen. Comp. Endocrinol., 143(3):<br />

201-210.<br />

Kojima M, Hosoda H, Date Y, Nakazato M, Matsuo H, Kangawa K<br />

(1999). Ghrelin is a growth-hormone-releasing acylated peptide from<br />

stomach. Nature, 402(6762): 656-660.<br />

Kojima M, Kangawa K (2005). Ghrelin: structure and function. Physiol.<br />

Rev., 85(2): 495-522.<br />

Korbonits M, Goldstone AP, Gueorguiev M, Grossman AB (2004).<br />

Ghrelin--a hormone with multiple functions. Front. Neuroendocrin.,<br />

25(1): 27-68.<br />

Parhar IS, Sato H, Sakuma Y (2003). Ghrelin gene in cichlid fish is<br />

modulated by sex and development. Biochem. Bioph. Res. Co.,<br />

305(1): 169-175.<br />

Sambrook J, Fritsch E, Maniatis T (1989). Molecular cloning: a<br />

laboratory manual. 2nd. New York: Cold Spring Harbor Laboratory,<br />

18: 58.<br />

Szczepankiewicz D, Skrzypski M, Pruszynska-Oszmalek E,<br />

Zimmermann D, Andralojc K, Kaczmarek P (2010). Importance of<br />

ghrelin in hypothalamus - pituitary axis on growth hormone release<br />

during normal pregnancy in the rat. J. Physiol. Pharmacol., 61(4):<br />

443-449.<br />

Unniappan S, Lin X, Cervini L, Rivier J, Kaiya H, Kangawa K (2002).<br />

Goldfish ghrelin: molecular characterization of the complementary<br />

deoxyribonucleic acid, partial gene structure and evidence for its<br />

stimulatory role in food intake. Endocrinology, 143(10): 4143-4146.<br />

Van Der Lely AJ, Tschop M, Heiman ML, Ghigo E (2004). Biological,<br />

physiological, pathophysiological, and pharmacological aspects of<br />

ghrelin. Endocr. Rev., 25(3): 426.<br />

Vila G, Maier C, Riedl M, Nowotny P, Ludvik B, Luger A (2007). Bacterial<br />

endotoxin induces biphasic changes in plasma ghrelin in healthy<br />

humans. J. Clin. Endocr. Metab., 92(10): 3930.<br />

Von Heijne G (1992). Membrane protein structure prediction:<br />

Hydrophobicity analysis and the positive-inside rule. J. Mol. Biol.,<br />

225(2): 487-494.<br />

Xu M, Volkoff H (2009). Molecular characterization of ghrelin and<br />

gastrin-releasing peptide in Atlantic cod (Gadus morhua): cloning,<br />

localization, developmental profile and role in food intake regulation.<br />

Gen. Comp. Endocr., 160(3): 250-258.<br />

Yang L, Yang W, ZHAO Y, QIAN J, Wang Z (2005). Chemical Synthesis<br />

and Prokaryotic Expression of Ghrelin of Pig. Chin. J. Vet. Sci., 25(6):<br />

614-616.<br />

Yeung CM, Chan CB, Woo NY, Cheng CH (2006). Seabream ghrelin:<br />

cDNA cloning, genomic organization and promoter studies. J.<br />

Endocrinol., 189(2): 365-379.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5229-5236, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.545<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Insight into microevolution of Streptomyces rimosus<br />

based on analysis of zwf and rex genes<br />

Zhenyu Tang 1 , Paul R. Herron 2 , Iain S. Hunter 2 , Siliang Zhang 1 and Meijin Guo 1 *<br />

1 State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237,<br />

P. R. China.<br />

2 Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, G4 0RE, Scotland,<br />

United Kingdom.<br />

Accepted 22 May, 2012<br />

Streptomyces rimosus has greatly influenced human history as a producer of many important<br />

secondary polyketide metabolites, such as oxytetracycline (OTC). The traditional screen and mutation<br />

program has resulted in a dramatic increase in OTC production. The availability of multiple semicomplete<br />

genome sequences of S. rimosus facilitates attempts to systematically address basic<br />

questions in genome evolution. We refer to such efforts as micro-evolutionary analysis. We report the<br />

results of comparative analysis of semi-complete genome sequences of three S. rimosus strains from<br />

the genealogy map (G7, M4018 and 23383) with different OTC production levels using genome<br />

comparison (single nucleotide polymorphisms, SNPs) method. These data were used to assess the<br />

influence of microevolution on the physiology, genetics and evolution of S. rimosus. Some SNPs were<br />

found in primary metabolism related genes which might affect the final OTC production. We further<br />

discussed the microevolution of primary metabolite genes (Glucose-6-phosphate dehydrogenase, zwf)<br />

and regulatory genes (redox regulator, rex) in S. rimosus. Using SOLEXA sequencing data, the<br />

phylogenetic trees of zwf and rex were constructed. The results indicate that S. rimosus is closely<br />

related with Streptomyces albus and represents a distinct evolutionary lineage compared with other<br />

Streptomyces. Our research cannot only provide important information for genotyping and evolutionary<br />

research of S. rimosus, but can also make possible the development of an informed view of genotype<br />

and phenotype.<br />

Key words: Microevolution, Streptomyces rimosus, single nucleotide polymorphisms (SNPs), glucose-6phosphate<br />

dehydrogenase, redox sensor.<br />

INTRODUCTION<br />

Evolution can be divided into two categories:<br />

macroevolution and microevolution. Macroevolution<br />

focuses on changes that occur within and among<br />

populations, while microevolution refers to smaller<br />

evolutionary changes within a species or population,<br />

including the genetic composition of a population (Hendry<br />

and Kinnison, 2001). Based on this theory,<br />

microevolution normally occurs over shorter intervals. In<br />

*Corresponding author. E-mail: guo_mj@ecust.edu.cn. Tel: +86<br />

21 64251131. Fax: +86 21 64253702.<br />

the past few years, studies of microevolution have made<br />

a transition from the evolutionary synthesis to new levels<br />

of melioration, and now are the symbol of the evolution<br />

outcome.<br />

Microevolution studies tend to focus on polymorphism,<br />

which refers to variation within a population. This may<br />

evolve a lot of mechanisms, such as mutations, genome<br />

rearrangement, gene duplication, transposition, and<br />

homologous and non-homologous recombination<br />

(Lawrence and Hendrickson, 2003). For mutation, it is<br />

defined as an alteration in DNA sequence, including both<br />

point mutations where one base pair of DNA is<br />

substituted for another, and insertions and deletions


5230 Afr. J. Microbiol. Res.<br />


Table 1. The SNPs related to the primary metabolism in S. rimosus 23383.<br />

Tang et al. 5231<br />

Primary metabolism related genes SNPs position Nucleotide sequence changes Amino acid changes<br />

Phosphoglycerate mutase 576 G to A Ser to Asn<br />

Phosphoglycerate kinase 119 G to A Gly to Asp<br />

Acyl-CoA synthetase 310 G to A Asp to Asn<br />

Aldehyde dehydrogenase 721 G to A Gly to Arg<br />

Alcohol dehydrogenase 1055 G to A Gly to Asp<br />

Glucose-6-phosphate 1-dehydrogenase 139 C to T Pro to Ser<br />

sequencing machines. Maq first aligns reads to reference<br />

sequences (M4018) and then calls the consensus. At the mapping<br />

stage, maq performs ungapped alignment. At the assembling stage,<br />

maq calls the consensus based on a statistical model. It calls the<br />

base which maximizes the posterior probability and calculates a<br />

phred quality at each position along the consensus. All the SNPs<br />

and Indels generated from G7, M4018 and 23383 were predicated<br />

by Maq during the mapping as well.<br />

Phylogenetic analysis<br />

The phylogenetic trees of zwf1, zwf2 and rex encoded proteins from<br />

S. rimosus M4018 were carried out using the Neighbor-Joining<br />

algorithm from NCBI website. The neighbor-joining method is a<br />

special case of the star decomposition method (Saitou and Nei,<br />

1987). The raw data are provided as a distance matrix and the star<br />

tree is the initial tree. Then, a modified distance matrix is<br />

constructed in which the separation between each pair of nodes is<br />

adjusted on the basis of their average divergence from all other<br />

nodes. The tree is constructed by linking the least-distant pair of<br />

nodes in this modified matrix. When two nodes are linked, their<br />

common ancestral node is added to the tree and the terminal nodes<br />

with their respective branches are removed from the tree. This<br />

pruning process converts the newly added common ancestor into a<br />

terminal node on a tree of reduced size. At each stage in the<br />

process, two terminal nodes are replaced by one new node. The<br />

process is complete when two nodes remain, separated by a single<br />

branch.<br />

Rex protein structure prediction<br />

SWISS-MODEL (http://swissmodel.expasy.org) which is a server for<br />

automated comparative modeling of three-dimensional (3D) protein<br />

structures was used to predict the Rex protein structure. In the<br />

‘alignment mode’, the modeling procedure is initiated by submitting<br />

the Rex sequence (S. rimosus M4018) alignment file. We specified<br />

which sequence in the given alignment was the target sequence<br />

and which one corresponded to a structurally known protein chain<br />

from the ExPDB template library. At last, the server would build the<br />

model based on the given alignment.<br />

RESULTS<br />

Microevolution analysis of S. rimosus with different<br />

OTC production levels<br />

Using S. rimosus M4018 genome sequence as the<br />

reference, 78 and 615 SNPs were found in S. rimosus G7<br />

and S. rimosus 23383 genomes respectively by Maq<br />

software. However, there were no SNPs and Indels<br />

identified in OTC gene clusters, while some SNPs were<br />

found in primary metabolism related genes in S. rimosus<br />

23383 as shown in Table 1. The SNPs positions and<br />

amino-acid changes are all listed in the table. These<br />

SNPs are all belonged to nSNPs.<br />

Microevolution analysis of glucose-6-phosphate<br />

dehydrogenase gene<br />

In Streptomyces, housekeeping genes are normally<br />

stable and conserved, so it can well demonstrate the<br />

microevolution relationship between different species<br />

using phylogeny tree analysis.<br />

As shown in Figure 2, the phylogenetic trees of zwf1<br />

and zwf2 form two different groups; while Streptomyces<br />

albus is located at the adjacent branch of both trees. The<br />

GC contents of zwf1 and zwf2 in S. rimosus are 68 and<br />

73%, respectively. Besides, the ZWF protein sequences<br />

share high homology with other Streptomyces species by<br />

blast analysis, 85 to 90% for zwf1 and 76 to 86% for zwf2.<br />

Microevolutionary analysis of rex gene<br />

Rex (Redox regulator, Rex) characterized in S. rimosus is<br />

a transcriptional regulator that responds directly to the<br />

poise of the NADH/NAD + redox (Shen et al., 2012). The S.<br />

rimosus Rex protein sequence shares high homology<br />

with those of four Streptomyces species by blast analysis:<br />

S. coelicolor A3(2) (84%), Streptomyces avermitilis MA-<br />

4680 (84%), Streptomyces griseus (80%) and<br />

Streptomyces lividans TK24 (71%). Meanwhile, database<br />

searches revealed that Rex-related proteins were<br />

encoded by the genomes of most Gram-positive bacteria,<br />

including B. subtilis (38% identity), Bacillus anthracis<br />

(38% identity), Listeria monocytogenes (39% identity).<br />

The phylogenetic tree showed that Sr-Rex was located at<br />

the edge of the tree (Figure 3), which concludes that it is<br />

different from other Rex proteins. The protein sequence<br />

data also confirms that Sr-Rex is much longer that other<br />

Rex proteins from homologues species (Shen et al.,<br />

2012). Kirby (2008) analyzed SSU ribosomal RNA


5232 Afr. J. Microbiol. Res.<br />

a


Figure 2. The phylogenetic trees of glucose-6-phosphate dehydrogenase from S. rimosus M4018 (a)<br />

ZWF1 (b) ZWF2. They were constructed using the Neighbor-Joining algorithm from NCBI website.<br />

The ZWF proteins from S. rimosus M4018 are highlighted in yellow.<br />

Tang et al. 5233


5234 Afr. J. Microbiol. Res.<br />

Figure 3. The phylogenetic tree of rex gene from S. rimosus M4018. It was constructed using the Neighbor-Joining algorithm from<br />

NCBI website. The Rex protein from S. rimosus M4018 is highlighted in yellow.<br />

phylogeny of S. rimosus, the results showed that the<br />

species is positioned at the edge of the Streptomyces<br />

clade as well.<br />

DISCUSSION<br />

With the development of sequencing technology, whole<br />

genome sequencing of bacteria becomes more and more<br />

popular and advances the microevolution analysis. In this<br />

study, we report the results of comparative analysis of<br />

semi-complete genome sequences of three S. rimosus<br />

strains (G7, M4018 and 23383) with different OTC<br />

production levels using genome comparison (SNPs)<br />

method. Some SNPs were found in primary metabolism<br />

related genes. As primary metabolism can provide<br />

precursors (e.g. CoenzyhmeA), energy (e.g. ATP),<br />

reducing power (e.g. NADPH) for the secondary<br />

metabolites (e.g. OTC), we assumed that these changes<br />

might affect the final OTC production. The microevolution<br />

of primary metabolite genes (glucose-6-phosphate<br />

dehydrogenase, zwf) and regulatory genes (redox<br />

regulator, rex) in S. rimosus indicate that S. rimosus is<br />

closely related with S. albus. The zwf genes of S. rimosus<br />

and S. albus may come from the same ancestor and<br />

undergo a long evolution time. The difference GC<br />

contents of zwf1 and zwf2 suggest that they may<br />

incorporate into the genome in different time. Thus, we<br />

can conclude that S. rimosus represents a distinct<br />

evolutionary lineage compared with other Streptomyces.<br />

All the nSNPs found in S. rimosus 23383 are involved<br />

in the conserved domains of the proteins. For the point<br />

mutation in phosphoglycerate mutase (Ser to Asn), it<br />

might influence the glycolysis pathway and the reversible<br />

interconversion of 3-phosphoglycerate to 2phosphoglycerate,<br />

while the mutation in<br />

phosphoglycerate kinase (Gly to Asp) might affect the<br />

formation of ATP to ADP. For the nSNP in acyl-CoA<br />

synthetase (Asp to Asn), it could change the lipid<br />

synthesis, fatty acid catabolism, and remodeling of<br />

membranes. The point mutation in alcohol<br />

dehydrogenase (Gly to Asp) and aldehyde<br />

dehydrogenase (Gly to Arg) might have an impact on the<br />

conversion of ethanol to harmless acetic acid. Glucose-6phosphate<br />

1-dehydrogenase is the first enzyme in PPP<br />

and is involved in the production of reducing power<br />

NADPH, so the mutation (Pro to Ser) could cause the<br />

significant change and affect the OTC production (the last<br />

three steps in the biosynthesis of OTC need a lot of<br />

NADPHs).<br />

In S. rimosus, zwf1 and zwf2 are two isoforms of<br />

G6PDH. Their amino acids and nucleotide sequences are<br />

different, so it may be concluded that they cannot be<br />

replaced by each other. By disruption of zwf1 or zwf2, the


a<br />

c<br />

Rex<br />

DNA<br />

Tang et al. 5235<br />

Figure 4. The 3D structure of Rex. (a) A ribbon representation of the 3D structure of Sr-Rex was constructed by Swiss-<br />

Model, alignment mode. The binding of Sr-Rex protein with DNA is presented in this figure as well. (b) Model for T-<br />

Rex/DNA Recognition (Nakamura et al., 2007). (c) Overall crystal structure of the B-Rex (Wang et al., 2008).<br />

specific OTC productivity was increased by 66 or 33%<br />

compared with the wild type control. Meanwhile, the<br />

biomasses of zwf gene intensified mutants (zwf1<br />

b<br />

+ and<br />

zwf2 + ) were 20 or 10% more than their zwf gene<br />

disrupted counterparts (Tang et al., 2011). All these data<br />

indicate that zwf1 contributes more to biomass formation<br />

and OTC production than zwf2 does.<br />

As the production of antibiotics is the outcome of<br />

multiple genes interactions and network regulations,<br />

regulatory genes are involved as well. Sr-Rex, a novel<br />

redox-sensitive repressor in S. rimosus M4018, which<br />

appears to modulate transcription in response to changes<br />

in cellular NADH levels, was discovered recently (Shen et<br />

al., 2012). The highly conserved phylogenetic sequence<br />

suggests common structural mechanisms for redoxdependent<br />

gene regulation among Rex family members.<br />

Previously, Brekasis and Paget (2003) demonstrated that<br />

NADH dissociated a Sc-Rex/ROP complex, as well as B-<br />

Rex homologs in B. subtilis (Gyan et al., 2006).<br />

Furthermore, there is a common motif GlyXGlyXXGly<br />

which is important for the NADH binding in all rex genes.<br />

We find the same sequence in Sr-rex which is Gly100-<br />

Ile101-Gly102-Asn103-Leu104-Gly105. By further investigation,<br />

it suggests that NADH can inhibit the Rex and ROP<br />

binding. However, NAD + has no effect on the REX-ROP<br />

complex formation. This was consistent with the<br />

researches in S. coelicolor (Brekasis and Paget, 2003)<br />

and B. subtilis (Ellen et al., 2008). As shown in Figure 4,<br />

by Swiss-Model, the final structure of the predicted Sr-<br />

Rex model is similar to T-Rex (Nakamura et al., 2007)<br />

and B-rex (Wang et al., 2008).<br />

Moreover, we found that some SNPs of regulatory<br />

genes existed in S. rimosus G7 and S. rimosus 23383<br />

genomes. For example, a Streptomyces antibiotic<br />

regulatory protein (SARP) was found downstream the<br />

otrB gene in the OTC biosynthesis cluster. Compared<br />

with S. rimosus 4018, there is a point mutation in this<br />

gene which mutates the amino acid from leucine into<br />

phenylalanine. Since this leucine is conserved in all the<br />

SAPRs, it might affect the regulation function of this gene.<br />

This work is under study in Paul R. Herron’s group in<br />

University of Strathclyde.<br />

To understand the role of microevolution in biological<br />

control, more data need to be exploited. Thus, it may be<br />

possible to guide the evolution into efficient ways. From<br />

the DNA sequence alterations (SNPs and Indels), after<br />

we get the information of microevolution, all the data<br />

related to genotype, phenotype, transcriptional levels will<br />

be correlated in an informed view. A selected mutation<br />

identified in the production strain (23383) will be


5236 Afr. J. Microbiol. Res.<br />

introduced by recombinant techniques to the low<br />

producer (G7 or M4018). To date, there is little literature<br />

about this. Only with a good understanding of the role of<br />

microevolution in S. rimosus genealogy, can we minimize<br />

the negative factors and maximize the benefits such as<br />

OTC production.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by grants from the Scotland-<br />

China Higher Education <strong>Research</strong> Partnership for PhD<br />

Studies, the Fundamental <strong>Research</strong> Funds for the<br />

Central Universities (ECUST), and the Open Project<br />

Program of the State Key Laboratory of Bioreactor<br />

Engineering, ECUST (No. 2060204).<br />

REFERENCES<br />

Brekasis D, Paget MS (2003). A novel sensor of NADH/NAD + redox<br />

poise in Streptomyces coelicolor A3(2). EMBO J., 22: 4856–4865.<br />

Chopra I, Hawkey PM, Hinton M (1992). Tetracyclines, molecular and<br />

clinical aspects. J. Antibiot. Chemother., 29: 245–277.<br />

Ellen W, Mikael CB, Annika R (2008). Structure and functional<br />

properties of the Bacillus subtilis transcriptional repressor Rex. Mol.<br />

Microbiol., 69(2): 466-478.<br />

Gyan S, Shiohira Y, Sato I, Takeuchi M, Sato T (2006). Regulatory loop<br />

between redox sensing of the NADH/NAD + ratio by Rex (YdiH) and<br />

oxidation of NADH by NADH dehydrogenase Ndh in Bacillus subtilis.<br />

J. Bacteriol., 88: 7062–7071.<br />

Hendry AP, Kinnison MT (2001). An introduction to microevolution: rate,<br />

pattern, process. Genetica, 112-113: 1–8.<br />

Hughes AL (1999). Adaptive Evolution of Genes and Genomes. Oxford<br />

Univ. Press, Oxford, UK.<br />

Kerry J, Hiney M, Coyne R, Nicgabhainn S, Gilroy D, Cazabon D, Smith<br />

P (1995). Fish feed as a source of oxytetracycline-resistant bacteria<br />

in the sediments under fish farms. Aquaculture, 131: 101–113.<br />

Kirby R, Gan TK, Hunter IS (2008). The genome of Streptomyces<br />

rimosus subsp. rimosus shows a novel structure compared to other<br />

Streptomyces using DNA/DNA microarray analysis. Antonie van<br />

Leeuwenhoek, 94: 173–186.<br />

Lawrence J, Hendrickson H (2003). Lateral gene transfer: When will<br />

adolescence end? Mol. Microbiol., 50: 739–749.<br />

Nakamura A, Sosa A, Komori H, Kita A, Miki K (2007). Crystal structure<br />

of TTHA1657 (AT-rich DNA-binding protein; p. 25) from Thermus<br />

thermophilus HB8 at 2.16 A resolution. Proteins, 66: 755–759.<br />

Saitou N, Nei M (1987). The neighbor-joining method: a new method for<br />

reconstructing phylogenetic trees. Mol. Biol. Evol., 4(4): 406-425.<br />

Shen J, Tang ZY, Xiao CY, Guo MJ (2012). Cloning and expression of<br />

the redox-sensing transcriptional repressor Rex and in vitro DNAbinding<br />

assay of the Rex and rex operator in Streptomyces rimosus<br />

M4018. Acta Microbiol. Sin., 52(1): 30-35.<br />

Tang ZY, Xiao CY, Guo MJ, Zhuang YP, Chu J, Zhang SL, Herron P,<br />

Hunter IS (2011). Improved Oxytetracycline Production in<br />

Streptomyces rimosus M4018 by Metabolic Engineering of Housekeeping<br />

Enzyme G6PDH Gene in Pentose Phosphate Pathway<br />

Enzym. Microb. Tech., 49: 17–24.<br />

Wang E, Bauer MC, Rogstam A, Linse S, Logan DT (2008). Structure<br />

and functional properties of the Bacillus subtilis transcriptional<br />

repressor Rex. Mol. Microbiol., 69: 466–478.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5237-5242, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.574<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Molecular characterization of hepatitis B virus (HBV)<br />

genotypes in HBsAg positive individuals of Khyber<br />

Pakhtunkhwa, Pakistan<br />

Zia Ur Rahman Awan 1 *, Abdul Haleem Shah 1 and Sanaullah Khan 2<br />

1 Department of Biological Sciences, Gomal University Dera Ismail Khan, Pakistan.<br />

2 Department of Zoology, Kohat University of Sciences and Technology Kohat, Pakistan.<br />

Accepted 31 May, 2012<br />

Hepatitis B virus (HBV) is a crucial health problem with up to 350 million people infected globally. The<br />

epidemiological significance of HBV genotypes has been well established however, no such large scale<br />

data available for HBV genotypes and much little is known about the mixed infection with more than<br />

one HBV genotypes. The main aim of the present study was to determine the molecular characterization<br />

of HBV genotypes in HBsAg positive patients in Khyber Pakhtunkhwa, Pakistan. A total of 713 HBsAg<br />

positive individuals were included in the present study. All the samples were confirmed for HBV DNA<br />

with nested polymerase chain reaction (PCR) and HBV DNA positive samples were further processed<br />

for HBV genotypes with type specific primers. This study demonstrated that genotype A (33.66%) is the<br />

predominant genotype followed by genotype D (29.5%), genotype C (2.10%), genotype F (1.40%) and<br />

mixed genotypes A+D (10.52%) while 5.9% of the samples were untypable. Genotype B and E was not<br />

found in this study. The current study shows the high frequency of genotype A and a heterogeneous<br />

distribution of HBV genotypes. Further study needs to investigate genetic and geographical divergence<br />

and characteristics of the virus in this area especially.<br />

Key words: Hepatitis B virus, HBsAg, HBV DNA, genotype, characterization.<br />

INTRODUCTION<br />

Hepatitis B virus (HBV) is the most common infection with<br />

approximately one third of the world population has been<br />

infected with this infection (Kevin and Leonard, 2011).<br />

Chronic HBV infection is common by an estimate in 350<br />

million persons globally, and carriers of HBV are at<br />

increasing risk of developing cirrhosis, hepatic decomposition<br />

and hepatocellular carcinoma (Jose et al., 2012).<br />

HBV is the smallest human DNA virus, with 3200<br />

nucleotides genome (Kao et al., 2011). HBV is transmitted<br />

through blood and blood products, although sexual<br />

transmission and intrafamilial transmission have also<br />

been reported (Rauf et al., 2010).<br />

*Corresponding author. E-mail: ziabiotech78@yahoo.com. Tel:<br />

+92 333 9731178, +92 966 750273.<br />

The evolution of HBV has led to the present existence of<br />

various genotypes, sub genotypes, mutants, recombinants,<br />

and even quasispecies of HBV (Kao, 2002). At<br />

present HBV can be classified into 9 genotypes from A to<br />

I (Santos et al., 2010; Yu et al., 2010) based on a<br />

nucleotide divergence in the entire genome of at least<br />

8%, with specific and characteristic geographical distributions,<br />

but most have a worldwide prevalence because<br />

of human migration (Jose et al., 2012). Genotype A can<br />

be regarded as pandemic but is most commonly found in<br />

Northern Europe, North America and Central Africa, while<br />

genotype B predominates in Asia (China, Indonesia and<br />

Vietnam). Genotype C is found in the Far East in Korea,<br />

China, Japan and Vietnam as well as the Pacific rim and<br />

Island Countries, while genotype D, which is also more or<br />

less pandemic, is found in the Mediterranean countries,<br />

the Middle East extending to India, North America and


5238 Afr. J. Microbiol. Res.<br />

parts of the Asia-Pacific region. Genotype E is related to<br />

Africa while genotype F is found predominately in South<br />

America, including among Amerindian populations, and<br />

also Polynesia. Genotype G has been found in North<br />

America and Europe while genotype H has been reported<br />

from America (Alam et al., 2007a), but recently two<br />

genotypes, “I” in China, Vietnam and Laos (Santos et al.,<br />

2010; Kao et al., 2011) and “J” in Japan, were identified<br />

(Kao et al., 2011).<br />

According to WHO, Pakistan, falls in the low endemic<br />

area of HBV infection with prevalence of 3% infected<br />

population. Studies regarding HBV infection from<br />

Pakistan focused more towards the HBV prevalence rate,<br />

epidemiological issues, genotyping of most prevalent<br />

strains and its genetic variability regarding core region<br />

(Baig et al., 2007). HBV infection rate in Pakistan is<br />

increasing day by day. Awan et al. (2010) reported<br />

approximately 38% prevalence with a 4% carrier rate and<br />

32% with anti-HBV surface antibodies by natural<br />

conversion (Khan et al., 2011). The reason may be the<br />

lack of proper health facilities or poor economical status<br />

and less public awareness about the transmission of<br />

major communicable disease like HBV, HCV and HIV<br />

(Alam et al., 2007a, b). Because HBV genotypic determination<br />

is of particular importance for the study of the<br />

detection of the virus’s origin, course of evaluating HBV,<br />

the severity and activity of liver disease, prognosis and<br />

response to antiviral treatment, patterns of serological<br />

reactivity and replication of the virus, the present study<br />

was designed to determined the prevalence of HBV<br />

genotypes in the Khyber Pakhtunkhwa Province of<br />

Pakistan.<br />

MATERIALS AND METHODS<br />

Study samples<br />

This study was carried out on HBsAg positive patients from<br />

September 2011 to January 2012 in seven divisions: Dera Ismail<br />

Khan (D.I. Khan), Bannu, Kohat, Peshawar, Mardan, Hazara and<br />

Malakand of Khyber Pakhtunkhwa, Pakistan.<br />

A total of 713 blood samples were collected from HBsAg positive<br />

male and female patients, with age 01 to 70 years. Informed<br />

consent forms were signed and collected from all volunteers<br />

following Institutional Review Board policies of the respective<br />

institutes. A 3 ml blood sample was collected in a vacutainer from<br />

each patient involved in the study. Sera were separated and stored<br />

at -20°C in the Molecular Parasitology and Virology Laboratory,<br />

Department of Zoology, Kohat University of Science and<br />

Technology Kohat, Pakistan for further processing. For reducing<br />

contamination, standard procedures were strictly followed. For the<br />

detection of HBV DNA and HBV genotyping all the samples were<br />

analyzed.<br />

Biochemical analysis<br />

The liver function tests (LFTs) especially Alanine aminotransferase<br />

(ALT) and Asparate aminotransferase (AST), were performed (two<br />

readings for each patient) for six months using Microlab 300 (Merck<br />

USA) using ALT and AST kit (Diasys Diagnostic System Germany)<br />

as described in manufacturer’s manual.<br />

HBV DNA detection<br />

DNA extraction<br />

DNA was extracted from 100 μl of HBsAg positive serum, using GF-<br />

1 nucleic acid extraction kit (Vivantas USA) according to<br />

manufacturer’s instructions.<br />

DNA amplification and detection<br />

PCR reactions were carried out in a thermal cycler (Nyxtechnik<br />

USA) with 5U Taq DNA polymerase (Fermentas USA). The first<br />

round of amplification was performed with 5 μl of extracted DNA by<br />

using an outer sense primer and an outer antisense primer specific<br />

to the surface gene of HBV. Another round of PCR was carried out<br />

with inner sense primer and inner antisense primer. Amplified<br />

products were subjected to electrophoresis in 2% agarose gel and<br />

evaluated under UV transillumination. The 185 bp specific amplified<br />

HBV DNA product was determined by comparing with the 50 bp<br />

DNA ladder (Fermentas USA), used as DNA size marker.<br />

HBV genotyping<br />

For HBV genotypes determination, the same procedure was<br />

followed as described by Naito et al. (2001).<br />

RESULTS<br />

713 HBsAg positive individuals with age of 1-70 years<br />

including 489 (68.6%) males and 224 (31.42%) females<br />

(Male to Female ratio 2.18:1) were analyzed in this study.<br />

Of the total, 419 male and 173 female were confirmed for<br />

HBV DNA while in 70 male and 51 female patients HBV<br />

DNA was not detected. The confirmed 592 HBV DNA<br />

samples were further processed for genotyping. The<br />

gender wise distribution of genotypes in all the HBV DNA<br />

positive patients of Khyber Pakhtunkhwa is shown in<br />

Table 1.<br />

Out of the 592 HBV DNA positive samples analyzed,<br />

550 (92.91%) showed genotype specific bands for<br />

genotype A, C, D, F and A+D, while the remaining 42<br />

(7.09%) were untypable. The HBV infection in this study<br />

in HBsAg positive patients were attributed predominantly<br />

to viral genotype A constituted 240 (33.66%) of the total<br />

individuals. Genotype D was the second prevalent with<br />

210 (29.5%), followed by genotype C 15 (2.10%) and<br />

genotype F 10 (1.40%). Mixed genotypes A+D were<br />

detected in 75 (10.52%) samples (Figure 1), while<br />

genotypes B and E were not found in this study. The<br />

highest prevalence of genotype A (70%) was found in<br />

Mardan Division and that of genotype D (60%) in D.I.<br />

Khan Division while the untypable (15%) patients were<br />

mostly found in Peshawar Division and the mixed<br />

genotype was not found in Mardan Division. The<br />

genotype C was found in Hazara Division (5%) and<br />

Malakand Division (10%) while genotype F (10%) was<br />

fond in Hazara Division only (Table 1).<br />

The prevalence of genotypes was assessed further<br />

with respect to patient’s age. The high frequency of all<br />

genotypes, A (39.58%), D (40.48%), F (50%) and A+D


Table 1. Gender and division wise distribution of HBV genotypes in HBV DNA positive patients of Khyber Pakhtunkhwa, Pakistan.<br />

Awan et al. 5239<br />

Genotype gender D.I. Khan n (%) Bannu n (%) Kohat n (%) Peshawar n (%) Mardan n (%) Hazara n (%) Malakand n (%) Total n (%)<br />

Genotype A<br />

Male - 30(12.5) 45(18.75) 25(10.42) 45(18.75) 5(2.08) 12(5.0) 162(27.4)<br />

Female 10(4.17) - 10(4.17) 20(8.33) 25(10.42) 5(2.08) 8(3.33) 78 (13.2)<br />

Genotype C<br />

Male - - - - - 5(33.33) 7(46.67) 12(2.03)<br />

Female - - - - - - 3(20.0) 3(0.51)<br />

Genotype D<br />

Male 45(21.43) 25(11.9) 10(4.76) 10(4.76) - 25(11.9) 35(16.67) 150(25.34)<br />

Female 15(7.14) 15(7.14) 5(2.38) - - 15(7.14) 10(4.76) 60(10.14)<br />

Genotype F<br />

Male - - - - - 5(50.0) - 5(0.84)<br />

Female - - - - - 5(50.0) - 5(0.84)<br />

Mix genotype A+D<br />

Male 10(13.33) 10(13.33) 10(13.33) 10(13.33) - 10(13.33) 10(13.33) 60(10.14)<br />

Female 5(6.67) - - 5(6.67) - - 5(6.67) 15(2.53)<br />

Untypable<br />

Male 2(4.76) 1(2.38) 3(7.14) 10(23.81) 9(21.43) 3(7.14) 2(4.76) 30(5.1)<br />

Female - 2(4.76) - 5(11.9) 3(7.14) 2(4.76) - 12(2.03)<br />

n = 592 [Male 419 (70.8%) and Female 173 (29.22%)].<br />

(40%) was found in the age group of 16-30 years.<br />

However, in individuals aged more than 60 years,<br />

genotype A 10 (4.17%) and D 15 (7.14%) was<br />

found and no other genotype, mixed genotype or<br />

untypable was found in this age group. Genotype<br />

C 15 (100%) was found only in the age group of<br />

46-60 (Table 2).<br />

DISCUSSION<br />

HBV infection is a global health problem with its<br />

continuously increasing burden on the developing<br />

countries like Pakistan (Khan et al., 2011). Very<br />

limited data on HBV epidemiology and pattern of<br />

transmission representing all the geographical<br />

regions of Khyber Pakhtunkhwa is available. To<br />

investigate the epidemiological distribution of HBV<br />

genotypes in the Khyber Pakhtunkhwa, we<br />

applied nested PCR with type specific primers.<br />

HBV genotypes have different biologicaland<br />

epidemiological behavior (Attaullah et al., 2011).<br />

Since they influence the activity and outcome of<br />

HBV-associated chronic liver disease, as well as<br />

the response to antiviral therapies (Zhu and Dong,<br />

2009; Eftikhari et al., 2010; Khaled et al., 2010),<br />

their detection and monitoring is more than just<br />

academic but also medically significant. Therefore<br />

HBV genotyping become a routineexercise in<br />

clinical medicine and molecular epidemiology<br />

(Khaled et al., 2010). Since several genotypes<br />

HBV are very closely associated with the severity,<br />

development of severe liver diseases (cirrhosis<br />

and hepatocellular carcinoma) and antiviral


5240 Afr. J. Microbiol. Res.<br />

Figure 1. HBV genotypes distribution in HBsAg positive patients.<br />

Table 2. Age wise distribution of genotypes in HBV DNA positive patients (n = 592).<br />

Age<br />

(in years)<br />

A<br />

n(%)<br />

C<br />

n(%)<br />

D<br />

n(%)<br />

Genotype<br />

F<br />

n(%)<br />

A+D<br />

n(%)<br />

Untypable<br />

n(%)<br />

Total<br />

n(%)<br />

1-15 25 (10.42) - 35 (16.67) - 10 (13.33) 3 (7.14) 73 (12.33)<br />

16-30 95 (39.58) - 85 (40.48) 5 (50.00) 30 (40.00) 23 (54.8) 238 (40.20)<br />

31-45 85 (35.42) - 45 (21.43) 5 (50.00) 10 ((13.33) 12(28.6) 157 (26.52)<br />

46-60 25 (10.42) 15 (100) 30 (14.29) - 25 (33.33) 4 (9.52) 99 (16.72)<br />

˃60 10 (4.17) - 15 (7.14) - - - 25 (4.00)<br />

therapy. Detection of HBV genotypes is also very<br />

important to clarify the pathogenesis, route of infection<br />

and virulence of the virus (Dokanehiifard and<br />

Bidmeshkipour, 2009).<br />

Initially HBV genotypes were analyzed in Japan and<br />

China, where genotype B and C were considered as the<br />

most prevalent genotypes and predominant of genotypes<br />

D in South Asia and the Middle East including India,<br />

Afghanistan and Iran (Baig et al., 2009). HBV genotypes<br />

show a characteristic geographic distribution with a<br />

proposed association with human migration. It is interested<br />

to note that Arians firstly colonized to the North of<br />

the Caspian Sea, then migrated to Iran, India and<br />

Europe. It might be those people who acquired the virus<br />

with the genotype D before their migration and then<br />

transmitted the virus generation by generation after their<br />

migration. That is why the dominant genotype in India,<br />

Iran and most part of the Europe is D (Jazayeri and<br />

Carman, 2009). In countries with high levels of immigration,<br />

a variety of genotypes are being reported as all<br />

of the known genotypes can be found in the Europe and<br />

North America (Kurbanov et al., 2010). The presence of<br />

genotypes A and D also reflected the immigrant origins of<br />

the population of Buenos Aires, Argentina which is<br />

cosmopolitan city and has received immigration from the<br />

Mediterranean area (Afghanistan, Iran, Pakistan, Egypt<br />

etc), where genotype D predominates.<br />

In fact genotyping can help to trace the migration of<br />

ancestors as well as the routes of transmission in<br />

accidental exposure to HBV (Poustchi et al., 2007). A<br />

study of 39 asymptomatic HBV carriers and 103 liver<br />

diseases patients from southern China showed circulation<br />

of A, B, C, and D genotypes with 78.9% being<br />

genotype C (Kaya et al., 2007). However, in Pakistanis


62% were genotype D, A (14%), C (6%), other genotypes<br />

(4%) and recombination (10%). Interestingly, no genotype<br />

other than D has been found in Iran. The epidemiological<br />

data about HBV genotypes in various Asian countries<br />

demonstrated the presence of all seven genotypes,<br />

particularly the pre-dominance of genotype D (Jazayeri<br />

and Carman, 2009). However, genotype A is distributed<br />

globally and is the main genotype found in Europe, North<br />

America, Africa and India (Santos et al., 2010). Hepatitis<br />

B virus genotype A has been increasing in chronic HBV<br />

patients in Japan (Matsuura et al., 2009); some HBV/A<br />

isolates have been imported from foreign countries. But<br />

unlike previous research, our study shows the dominance<br />

of genotype A which is the second most prevalent<br />

genotype in Pakistan (Ali et al., 2011). Idrees et al. (2004)<br />

reported the high prevalence of genotype A in Sindh<br />

province of Pakistan. This is good news because<br />

previous studies shows that genotype A is less severe<br />

disease and highly responsive to interferon therapy as<br />

compared to genotype D and have lower HBV DNA<br />

levels (Ali et al., 2011).<br />

It is of much important finding that we have reported<br />

such patients infected with multiple (more than one) HBV<br />

genotypes in the current study. This is in accordance with<br />

a number of very recent studies from different regions of<br />

the world. Hannoun found 8% of HBV patients with<br />

genotype mixture (Alam et al., 2007b). Leblebcioglu and<br />

Erglu (2004) reported that chronic patients are more<br />

prone to be infected with more than one HBV genotype<br />

than acutely infected patients. Genotypes mixture in HBV<br />

patients is also common in Thailand (Jutavijittum et al.,<br />

2006). 16% HBV cases were positive for HBV genotype<br />

mixture in France (Halfon et al., 2006).<br />

In our study, 42 HBV DNA positive samples remained<br />

untypable for HBV genotypes. It may be assumed that<br />

such samples represent recombinant or new genotypic<br />

variants present in our population that can be resolved<br />

after sequencing and further analysis. Because, some<br />

minor HBV genotypes as well as novel or distinct<br />

genotypic groups may be present in any population<br />

besides major genotypes (Bowyer and Sim, 2000).<br />

Regarding the sex distribution of HBV infection there<br />

were more male (68.6%) patients than female (31.42%).<br />

This was compatible with work of Naz et al. (2002), who<br />

reported a high prevalence in males 68.3% than females<br />

31.7%, which is quite comparable with our results.<br />

Nwokediuko (2010), Zubair et al. (2010), Moosa et al.<br />

(2009) and Awan et al. (2010) also reported a significantly<br />

higher infection rate in male as compared to the<br />

female. The higher HBV infection in males as compared<br />

to female may be due to their being employed outsides<br />

their homes, visiting barber shops and also their<br />

involvement in blood transfusion practices. While women<br />

are mostly involved in house hold activates based on the<br />

social, cultural and religious preferences and influence.<br />

Prevalence data from individual studies were further<br />

segregated into age groups. There was an age effect on<br />

Awan et al. 5241<br />

the prevalence of hepatitis B infection. Prevalence rose<br />

from 18.33% in children’s 1-15 to a peak of 46.67 and<br />

25% in people aged 61-30 and 31-45 years respectively.<br />

After this it declined to 6.67 and 3.33% in people aged<br />

46- 60 and >60 years. Alam et al. (2007b) also reported a<br />

significantly higher infection in persons with age between<br />

21-40 years followed by 41-60 years age. Very young<br />

and old individuals were very less frequently infected by<br />

HBV. Castolo et al. (2001) report also supported our<br />

finding that prevalence of HBV infection is higher in<br />

patients up to the age of 40 years. HBV infection being<br />

higher in young’s respondents may be due to their<br />

greater exposures and interaction in society as compared<br />

to children and aged persons.<br />

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(2006) Genotypes of Hepatitis B virus among voluntary blood donors<br />

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PJ, Xia NS (2010). Molecular and phylogenetic analyses suggest an<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5243-5248, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.655<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Fatigue-alleviating effect of polysaccharides from<br />

Cyclocarya paliurus (Batal) Iljinskaja in mice<br />

Wang Jinchao* and Wang Kangkang<br />

Physical Education School, Zhengzhou University, Zhengzhou, China.<br />

Accepted 23 April, 2012<br />

In this study, the fatigue-alleviating effect of polysaccharides from Cyclocarya paliurus (Batal) Iljinskaja<br />

(PCP) in mice were evaluated using a weight-loaded swimming test and some biochemical parameters<br />

related to fatigue, including serum urea nitrogen (SUN), blood lactic acid (BLA), hemoglobin (Hb) and<br />

hepatic glycogen were measured. Male Kunming mice were administered PCP at doses of 0, 25, 50 and<br />

100 mg/kg for 4 weeks. The results showed that PCP can increase swimming time to exhaustion, Hb<br />

and hepatic glycogen contents whilst reducing SUN and BLA contents, indicating an alleviating effect<br />

on exercise-induced fatigue in mice.<br />

Key words: Polysaccharides, Cyclocarya paliurus (Batal) Iljinskaja, fatigue, swimming test, mice.<br />

INTRODUCTION<br />

Cyclocarya paliurus (Batal.) Iljinskaja, a Chinese native<br />

plant, belongs to the genus Cyclocarya Iljinskaja<br />

(Juglangdaceae) (Yi et al., 2002; Xie et al., 2010a). This<br />

plant is grown on cloudy and foggy highlands in southern<br />

China including Anhui, Fujian, Hubei, Hunan, Jiangsu,<br />

Jiangxi, Sichuan, Guizhou, and Zhejiang Provinces. And<br />

it is commonly called the ‘sweet tea tree’ because of the<br />

flavour of its leaves (Xie et al., 2010b). The leaves of C.<br />

paliurus have been a food resource for maritime people<br />

for a long time, and have also been used for drug<br />

formulations in traditional Chinese medicine (TCM), as<br />

well as for an ingredient in functional foods in China (Li et<br />

al., 2002; Birari and Bhutani, 2007; Fang et al., 2011).<br />

Significant attention has recently been drawn to the use<br />

of C. paliurus for developing functional food, as C.<br />

paliurus produces a great variety of nutrients that are<br />

essential for human health. C. paliurus health tea, the<br />

aqueous extract of C. paliurus leaves, is already known<br />

as a functional health food for ailments, the enhancement<br />

of mental efficiency, and recovery from mental fatigue,<br />

has been become the first Food and Drug Administration<br />

(FDA)-approved health tea of China in 1999 (Xu and<br />

Song, 2004; Xie et al., 2010a). Recently, the wide array<br />

*Corresponding author. E-mail: wangjinchaozz@sina.com. Tel:<br />

+86 371 63632763. Fax: +86 371 63632763.<br />

of therapeutic effects of C. paliurus have been reported,<br />

such as enhancement of mental efficiency and<br />

hypolipidaemic, antihypertensive and immunomodulatory<br />

effects (Kurihara et al., 2003; Li et al., 2008, 2011).<br />

Recently, the bio-activities of polysaccharides from<br />

plants and fungi have attracted more and more attention<br />

in biochemistry and medicine. In the last few decades,<br />

polysaccharides from plants and fungi exhibit varied bioactivities<br />

such as antioxidant, antidiabetic, antitumor,<br />

anticancer, antifatigue, antiviral, antibacterial, antifungal,<br />

anticoagulant and immunological activities (Hwang et al.,<br />

2005; Yu et al., 2006; Kardosová and Machová, 2006;<br />

Lee et al., 2007; Thierbach and Steinberg, 2009). To<br />

date, most studies on C. paliurus were concerned about<br />

the extract bio-activities, and low molecular weight<br />

substances, such as triterpenoids, flavonoids, steroids,<br />

saponins and other compounds present in this plant (Shu<br />

et al., 1995; Jiang et al., 2006; Wang and Cao, 2007;<br />

Fang et al., 2011). Whereas, there have been only a few<br />

reports on polysaccharides from C. paliurus (PCP) and<br />

few on its bio-activities. For example, Liu et al. (2007)<br />

found that PCP has anti-tumor activity and can<br />

significantly inhibit the proliferation of cervical cancer<br />

HeLa cells. Xie et al. (2010) reported that PCP exerted<br />

significant scavenging effects on 2,2-diphenyl-1-<br />

picrylhydrazyl (DPPH) radicals. Shangguan et al. (2010)<br />

found that PCP possesses a hypoglycemic effect in<br />

alloxan-induced hyperglycemic mice. To the best of our


5244 Afr. J. Microbiol. Res.<br />

knowledge, there are no previous reports on the effect of<br />

the anti-fatigue. In this study, we investigated whether<br />

PCP can improve exercise-induced fatigue. In order to<br />

assess potential mechanisms of PCP bio-activities, we<br />

measured some biochemical parameters related to<br />

fatigue, including serum urea nitrogen (SUN), blood lactic<br />

acid (BLA), hemoglobin (Hb) and hepatic glycogen.<br />

MATERIALS AND METHODS<br />

Plant material<br />

The dried leaves of C. paliurus were provided by Zhangjiajie<br />

Hongmao ecological Co. (Hunan, China). A voucher specimen<br />

(registration number: 2010069) has been deposited in the Natural<br />

Products Laboratory, Zhengzhou University. All samples were<br />

sliced and ground into fine powder in a mill before extraction.<br />

Extraction of PCP<br />

The method of Xie et al. (2007) was used in the extraction of PCP.<br />

The procedures are described as follows: the dried leaves of C.<br />

paliurus powder (100 g) were first weighed and extracted with 1000<br />

ml of 80% ethanol for 24 h to remove the interfering components in<br />

the samples at 80°C. The extraction procedure was carried out in<br />

the water bath. After filtration, the residue were dried at room<br />

temperature and placed in an extraction tube, then extracted twice<br />

with ultra-pure water (20:1 weight/volume ratio) at 80°C for 2 h. The<br />

extracts were filtered, while warm, through glass wool and<br />

centrifuged for 15 min to separate the supernatant and the residue.<br />

The Sevag method was used to remove protein components<br />

(Staub, 1965). After removing the Sevag reagent, the water phase<br />

were concentrated under reduced pressure at 55°C and<br />

precipitated with four volumes of ethanol, then kept at 4°C overnight<br />

in refrigerator to precipitate polysaccharides. The precipitates<br />

formed in the solution were collected and then redissolved in ultrapure<br />

water, centrifuged for 15 min. The supernatant was further<br />

dialysed for 36 h in natural water and 12 h in ultra-pure water<br />

before concentration under vacuum evaporator at 55°C. Lastly, the<br />

precipitate was frozen at -40°C overnight and lyophilized in vacuum<br />

freeze dryer. The crude PCP was obtained. The polysaccharide<br />

content was measured by the sulfuric acid/phenol method. Briefly,<br />

polysaccharides were hydrolyzed to sugar aldehyde in the<br />

presence of sulfuric acid and condensed with phenol to give a<br />

colored complex, which can be quantified by spectrometry at 480<br />

nm. Then the extraction yield of PCP was 6.27 wt % (dry basis)<br />

Animals<br />

The study protocol was approved by the Institutional Animal Care<br />

and Use Committee of Zhengzhou University (Zhengzhou, China.).<br />

Healthy male Kunming mice were obtained from Laboratory Animal<br />

Center, Medical College of Zhengzhou University. Mice were<br />

housed in environmentally controlled conditions (temperature<br />

20±2°C; relative humidity 50 to 60%) with a 12 h light/dark cycle. All<br />

animals had free access to standard rodent pellet food and water<br />

ad-libitum. Animals weighing 18 to 22 g were used in the study.<br />

Experimental design<br />

After an adaptation period for a week, the 64 mice were randomly<br />

divided into four groups, with 16 mice in each group. PCP was<br />

given to the mice at doses of 0, 25, 50 and 100 mg/kg and the four<br />

groups were accordingly named as the control (C) group, PCP lowdose<br />

treatment (PL) group, PCP middle-dose treatment (PM) group<br />

and PCP high-dose treatment (PH) group. PCP was dissolved in 1<br />

ml of distilled water and the same volume of distilled water was<br />

given to mice in C group. Samples were orally administered (8: 00<br />

am) into mice using a feeding atraumatic needle once per day for 4<br />

weeks. The doses of PCP used in this study were confirmed to be<br />

suitable and effective in tested rabbits according to our preliminary<br />

experiment. The mice were made to swim for 15 min three times a<br />

week to accustom them to swimming. After 4 weeks, 8 mice were<br />

taken out from each group for weight-loaded swimming test. The<br />

other 8 mice were taken out from each group for analyses of some<br />

biochemical parameters related to fatigue.<br />

Weight-loaded swimming test<br />

The weight-loaded swimming test was employed in this study to<br />

evaluate the effects of PCP on exercise-induced fatigue. The test<br />

was induced by forcing animals to swim until exhaustion as<br />

described in the literature (Tang et al., 2008). Briefly, 30 min after<br />

the last administration, the mice were dropped individually into an<br />

acrylic plastic pool (90�45�45 cm) filled with fresh water maintained<br />

at 30±1°C, approximately 35 cm deep so that mice could not<br />

support themselves by touching the bottom with their tails. A lead<br />

block (5% of body weight) was loaded on the tail root of the mice.<br />

Mice were regarded as exhaustion when they were underwater for<br />

8 s (Chi et al., 2008), and their swimming time was immediately<br />

recorded.<br />

Biochemical analysis<br />

In order to explore the mechanism, some biochemical parameters<br />

related to fatigue, including SUN, BLA, Hb and hepatic glycogen<br />

were measured. Briefly, 30 min after the last administration, the<br />

mice were forced to swim for 90 min without a load. Rested for 60<br />

min, the mice were anesthetized with ether and blood samples<br />

were collected in tubes by heart puncture to determine the contents<br />

of SUN, BLA and Hb. In addition, immediately after the blood had<br />

been collected, the liver was dissected out quickly from the mice,<br />

washed with physiological saline and dried with absorbent paper.<br />

Then the contents of hepatic glycogen were determined.<br />

Data analysis<br />

Data were expressed as the mean ± SD and analyzed by one-way<br />

analysis of variance (ANOVA), followed by Post hoc test (SPSS<br />

15.0). The difference was considered significant when P


Swimming time (s)<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

0<br />

*<br />

C PL PM PH<br />

Group<br />

Figure 1. Effects of PCP on weight-loaded swimming test of mice. C group, control<br />

group (the mice were administered distilled water); PL group, PCP low-dose treatment<br />

group (the mice were administered 25 mg/kg of PCP); PM group, PCP middle-dose<br />

treatment group (the mice were administered 50 mg/kg of PCP); PH group, PCP highdose<br />

treatment group (the mice were administered 100 mg/kg of PCP). Values are the<br />

means ± S.D.*, P < 0.05, compared with control group.<br />

safely (Wang et al., 2008). In the present study, the mice<br />

had a weight attached 5% body weigh in the duration of<br />

the swim-to-exhaustion. As shown in Figure 1, the<br />

swimming time to exhaustion of the PL, PM and PH<br />

groups were significantly prolonged compared with that in<br />

the C group (P


5246 Afr. J. Microbiol. Res.<br />

Blood lactic acid (mmol/L)<br />

Serum urea nitrogen (mmol/L)<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

*<br />

C PL PM PH<br />

Group<br />

Figure 2. Effects of PCP on serum urea nitrogen of mice. C group, control group (the mice were<br />

administered distilled water); PL group, PCP low-dose treatment group (the mice were<br />

administered 25 mg/kg of PCP); PM group, PCP middle-dose treatment group (the mice were<br />

administered 50 mg/kg of PCP). PH group, PCP high-dose treatment group (the mice were<br />

administered 100 mg/kg of PCP). Values are the means ± S.D. *, P < 0.05, compared with control<br />

group.<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

*<br />

C PL PM PH<br />

Group<br />

Figure 3. Effects of PCP on BLA of mice. C group, Control group (the mice were administered<br />

distilled water); PL group, PCP low-dose treatment group (the mice were administered 25 mg/kg<br />

of PCP); PM group, PCP middle-dose treatment group (the mice were administered 50 mg/kg of<br />

PCP); PH group, PCP high-dose treatment group (the mice were administered 100 mg/kg of<br />

PCP). Values are the means ± S.D. *P < 0.05, compared with control group.<br />

in the present study. As shown in Figure 4, the Hb<br />

contents of the PM and PH groups were much higher<br />

than that in C group (P0.05). These results<br />

indicated that increase in the contents of Hb may be<br />

another pathway of PCP alleviating exercise-induced<br />

fatigue.<br />

*<br />

*<br />

Effects of PCP on hepatic glycogen of mice<br />

*<br />

*<br />

It is generally accepted that endurance capacity<br />

decreases if the available energy is exhausted. Glycogen<br />

is the major energy source during exercise; the increase<br />

in glycogen stored in liver is an advantage to enhance the<br />

physical endurance (Wagenmakers et al., 1991).<br />

Depletion of hepatic glycogen is an important factor in the


Hepatic glycogen (mg/g)<br />

Hemoglobin (g/L)<br />

200<br />

150<br />

100<br />

50<br />

0<br />

C PL PM PH<br />

Group<br />

Figure 4. Effects of PCP on Hb of mice. C group, Control group (the mice were<br />

administered distilled water); PL group, PCP low-dose treatment group (the mice were<br />

administered 25 mg/kg of PCP); PM group, PCP middle-dose treatment group (the mice<br />

were administered 50 mg/kg of PCP); PH group, PCP high-dose treatment group (the<br />

mice were administered 100 mg/kg of PCP). Values are the means ± S.D. *P < 0.05,<br />

compared with control group.<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

*<br />

C PL PM PH<br />

Group<br />

Figure 5. Effects of PCP on hepatic glycogen of mice. C group, Control group (the mice<br />

were administered distilled water); PL group, PCP low-dose treatment group (the mice<br />

were administered 25 mg/kg of PCP); PM group, PCP middle-dose treatment group (the<br />

mice were administered 50 mg/kg of PCP); PH group, PCP high-dose treatment group<br />

(the mice were administered 100 mg/kg of PCP). Values are the means ± S.D. *P <<br />

0.05, compared with control group.<br />

exercised fatigue, which may lead to hypoglycemia<br />

impairing nervous function (Dohm et al., 1983). The<br />

previous studies have indicated that glycogen<br />

accumulates in the body and delays fatigue after<br />

exercise. As shown in Figure 5, the hepatic glycogen<br />

contents of the PL, PM and PH groups were significantly<br />

increased compared with that in the C group (P


5248 Afr. J. Microbiol. Res.<br />

evaluate its anti-fatigue effect at cellular and molecular<br />

levels.<br />

ACKNOWLEDGEMENT<br />

The authors are thankful to Dr. J. Zhang for typing this<br />

manuscript.<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5249-5258, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.705<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Aggressiveness, diversity and distribution of Alternaria<br />

brassicae isolates infecting oilseed Brassica in India<br />

P. D. Meena 1 , A. Rani 1 , R. Meena 1 , Pankaj Sharma 1 *, R. Gupta 1 and P. Chowdappa 2<br />

1 Directorate of Rapeseed-Mustard <strong>Research</strong>, Sewar, Bharatpur 321 303 (Raj), India.<br />

2 Indian Institute of Horticultural <strong>Research</strong>, Bangalore (Karnataka) 560 089, India.<br />

Accepted 25 April, 2012<br />

Alternaria brassicae (Berk.) Sacc., a necrotrophic fungus devastating oilseed Brassica crops in India,<br />

causes up to 47% reduction in seed yield. Morphological characteristics of different isolates revealed<br />

variation in growth, shape and pigmentation of colony, conidial measurements and number of septa.<br />

Conidial length varied from 106.7 to 285.9 µm, width 33.5 to 57.0 µm and beak length 41.4 to 180.0 µm.<br />

Number of horizontal septa varied from 3.2 to 8.0 and vertical 0.3 to 1.4. Different synthetic media<br />

showed profound variation in mycelial growth of A. brassicae isolates and the poor sporulation<br />

indicated that the fungus requires some organic sources of nutrition for better growth and sporulation.<br />

The degree of sporulation of A. brassicae isolates is a function of nutrition proved for the first time. Per<br />

cent inhibition of mycelial growth showed diverge among A. brassicae isolates, which may be due to<br />

the variation towards fungicidal sensitivity among isolates. Pathogen aggressiveness study<br />

demonstrated the existence of considerable variation in tolerance of Brassica species to A. brassicae,<br />

which is proved with the location specific disease severity.<br />

Key words: Variability, Alternaria brassicae, fungicides sensitivity, aggressiveness, Brassica.<br />

INTRODUCTION<br />

Indian mustard [Brassica juncea (L.) Czern and Coss.]<br />

alone contributes about 80% of the total rapeseedmustard<br />

which is one of the major oilseed crops<br />

cultivated in India (AICRP-RM, 2011). Alternaria blight<br />

disease caused by Alternaria brassicae (Berk.) Sacc. has<br />

been reported from all the continents of the world and is<br />

one among the important diseases of Indian mustard<br />

causing up to 47% yield losses (Meena et al., 2010a) with<br />

no proven source of resistance against the disease<br />

reported till date in any of the hosts (Meena et al.,<br />

2010b). Little work on variability has been reported on<br />

genetic structure of A. brassicicola population suggests<br />

the occurrence of sexual recombination (Bock et al.,<br />

2005). Information on trends in variability of A. brassicae<br />

population in India is lacking. In view of the economic<br />

importance of rapeseed-mustard crops to India, it<br />

seemed desirable to learn more of the biology of the A.<br />

*Corresponding author. E-mail: pksvirus@gmail.com. Tel: +91<br />

5644 260379/260575 or +91 9414239831. Tel/Fax: +91 5644<br />

260565.<br />

brassicae that attack these crops.<br />

A comparative knowledge of the nutritional patterns<br />

and factors influencing its growth are prerequisite to any<br />

study leading to the understanding of host-pathogen<br />

relationship and specificity. Alternaria blight severity on<br />

rapeseed-mustard differs among seasons and regions as<br />

also between individual crops within a region. This may<br />

be due to existence of variability among isolates of<br />

Alternaria species. Some reports on the existence of<br />

morphological variability within the isolates of other<br />

Alternaria species have been reported by earlier workers<br />

(Meena et al., 2005; Varma et al., 2006). Special<br />

attention was focused on variability in pathogen diversity<br />

and aggressiveness of 30 A. brassicae isolates collected<br />

from different geographical locations from different<br />

Brassica hosts.<br />

MATERIALS AND METHODS<br />

Pathosystem<br />

The current study is part of a project on the population of the<br />

Brassica–Alternaria system. The study area includes three


5250 Afr. J. Microbiol. Res.<br />

Table 1. Alternaria brassicae isolates infecting Brassica species at different geographical locations.<br />

A. brassicae isolate Host Date of collection Location Latitude and longitude Plant part<br />

BAB-02 B. napus 15-Feb-05 Jammu, J & K 32° 44' N, 74° 54'E leaf<br />

BAB-19 B. juncea 22-Jun-09 Bharatpur, Raj 27° 15' N, 77° 30'E seed<br />

BAB-20 B. juncea 28-Feb-05 Alwar, Raj 27° 34' N, 76° 36'E pod<br />

BAB-23 B. carinata 23-Feb-05 Behrampore, WB 24° 6' N, 88° 15'E leaf<br />

BAB-30 B. rapa spp ys 24-Jan-06 Berhampore, WB 24 o 6' N, 88 o 19' E leaf<br />

BAB-08 B. juncea 8-Mar-06 Dhamsya, Jaipur, Raj 26°88' N,76°15'E leaf<br />

BAB-39 B. carinata 1-Feb-10 Kangra, HP 32° 05' N, 76° 18'E leaf<br />

BAB-40 B. juncea 1-Feb-10 Kangra, HP 32° 05' N, 76° 18' leaf<br />

BAB-41 B. napus 3-Mar-10 Kangra, HP 32° 05' N, 76° 18'E leaf<br />

BAB-42 B. juncea 10-Feb-10 Parwai, Jhansi, UP 25° 27' N, 78° 37'E leaf<br />

BAB-43 B. juncea 21-Jan-10 Hazaribag, Jharkhand 23º 59' N, 85º 25'E leaf<br />

BAB-44 B. juncea 30-Jan-10 Nagina, Bijnor, UP 29° 27´N, 78° 29´E leaf<br />

BAB-45 B. juncea 26-Jan-10 Mandore, Jodhpur, Raj 26° 18' N, 73° 04'E leaf<br />

BAB-47 B. juncea Feb-10 Tonk, Raj 26° 11' N, 75° 50'E leaf<br />

BAB-48 B. juncea 4-Feb-10 Shivrajpur, Kanpur, UP 26° 28'N 80° 21'E leaf<br />

BAB-49 B. juncea 25-Jan-10 Jobner, Jaipur, Raj 26° 95' N,75° 34'E leaf<br />

BAB-50 B. juncea 10-Feb-10 Jhansi, UP 25° 27' N, 78° 37'E leaf<br />

BAB-04 B. rapa spp toria 2-Mar-05 Kamrup, Assam 25°74‟ N,93° 85‟E pod<br />

BAB-06 B. juncea 3-Mar-05 Golaghat, Assam 22° 7' N, 92° 6'E leaf<br />

BAB-18 B. juncea 18-Jun-08 Pantnagar, Uttarakhand 29°03' N, 79°31'E leaf<br />

BAB-28 B. juncea 2-Mar-05 Ri-Bhoi, Meghalaya 25° 50‟ N, 90°55‟E leaf<br />

BAB-29 B. juncea 5-Mar-05 Dimapur, Nagaland 25° 55' N, 93° 44'E leaf<br />

BAB: Brassica Alternaria brassicae.<br />

sub-regions from the north western to north eastern between<br />

Rajasthan (27° 00' N, 74° 00' E) and north east states (Latitude 21°<br />

58' and 24° 35' N, Longitude 92° 15' and 93° 29' E), and comprises<br />

a total of 30 populations of A. brassicae, which is a common<br />

necrotrophic pathogen of Brassica species in this region, producing<br />

black lesions on leaves, stems and developing pods (Meena et al.,<br />

2010). The common occurrence of infected seeds and stubbles in<br />

soil indicates the potential for vertical transmission (parent to<br />

offspring) to play a role in the epidemiology of the interaction. A<br />

survey was conducted to observe the disease pressure under<br />

AICRP-RM throughout monitoring for these regions.<br />

Collection of A. brassicae isolates<br />

Plant material infected with A. brassicae was sampled randomly<br />

from different geographical locations on Brassica species cultivated<br />

in India was collected and designated as BAB stands for Brassica<br />

Alternaria brassicae (Table 1). These selected infected spots were<br />

washed 3-4 times in sterilized distilled water and then surface<br />

sterilized by dipping in 4% NaOCl solution for 1 min, followed by<br />

washing with sterilized water 3-4 times. Surface sterilized leaf spot<br />

pieces were then aseptically transferred into 9 cm Petri dishes<br />

containing Potato Dextrose Agar (PDA) and incubated at 25±2°C<br />

for seven days. Thereafter, growing mycelia from margin of<br />

apparently distinct colonies of the leaf spot pieces on the medium<br />

were aseptically transferred into another Petri plate containing PDA<br />

medium, where it was grown for 15 days at 23±2°C in the BOD<br />

incubator. On the basis of their conidiophore and conidial<br />

morphology as described by Simmons (2007), the pathogen was<br />

identified as Alternaria brassicae (Berk.) Sacc. and purified by<br />

single spore isolation method. The isolated fungal pathogen<br />

cultures were maintained on PDA slants at 4°C. The 22 isolates<br />

(NAIMCC F 02599-02620) have been submitted to the National<br />

Bureau for Agriculturally Important Microorganisms (ICAR), Mau<br />

Nath Bhanjan (Uttar Pradesh, India) to develop the National<br />

Repository on Alternaria spp.<br />

Single-spore colonies were prepared with the help of stereo<br />

microscope by grown on potato dextrose agar (PDA). Sub-culturing<br />

was done after three months on PDA. Brassica leaf broth (BLB)<br />

medium was used at fourth subculturing to maintain the<br />

aggressiveness of the isolates every year. BLB medium was<br />

prepared using 250 g fresh leaf of Brassica juncea cultivar Varuna<br />

in 1 L distilled water supplemented with 15 g sucrose. Culture<br />

slants of isolates were stored on PDA in the refrigerator. A total of<br />

22 A. brassicae isolates were collected and maintained (Table 1).<br />

Morphological variability<br />

Ocular micrometer was calibrated and by use of micrometry (Meena<br />

et al., 2005), morphological variability among the 22 isolates of A.<br />

brassicae was studied in 2010-11. Total fifty conidia from each slide<br />

were examined at 40X magnification of light microscope and<br />

measured using ocular and stage micrometer. The average was<br />

used to calculate the conidial length, width, beak length and<br />

number of horizontal and vertical septa.<br />

Effect of different temperature and relative humidity on A.<br />

brassicae isolates<br />

Effect of temperature on radial growth of only limited isolates of A.<br />

brassicae (from Bharatpur, Pantnagar, Alwar, Kanpur, Hazaribag,


Table 2. Sporulation index.<br />

Sign Index No of spores per microscopic fields<br />

- Absent Nil<br />

+ Trace 1-10<br />

++ Mild 11-30<br />

+++ Moderate 31-50<br />

++++ Abundant More than 50<br />

Berhampur) was studied. Petri plates containing PDA medium were<br />

inoculated with agar blocks taken from fresh actively growing<br />

culture plates. Plates were incubated for 10 days at 15, 20, 25, 30,<br />

35 and 40°C temperature in B.O.D. incubator at a constant 100%<br />

relative humidity (RH) maintained in separate lower lid of the plate<br />

which was fixed with sticky tape on the other lower lid of fungal<br />

culture plates by mixing different quantities of KOH and distilled<br />

water (Chatopadhyay and Appaji, 2000). Similarly, A. brassicae<br />

isolates were incubated at 25°C in B.O.D. incubator for 10 days at<br />

100, 95, 90, 85, 80, 75, 70, 60 and 50% RH. Radial growth was<br />

measured after 10 days of inoculation for all isolates.<br />

Cultural characteristics<br />

To observe the variation among the isolates in cultural<br />

characteristics, that is, colony colour, shape, margin and texture a<br />

separate experiment was conducted on PDA and incubated in<br />

B.O.B. incubator at 25°C temperature and 100% relative humidity.<br />

Effect of culture media on mycelia growth and sporulation<br />

To study the effect of culture media on mycelia growth and<br />

sporulation, five different culture media, viz Asthana and Hawker‟s,<br />

Brown‟s, Czapek‟s, Elliot‟s and Richard‟s media were prepared in<br />

250 ml conical flask. Each treatment was replicated four times. A<br />

2.0 mm diameter mycelium disc from 10 day old culture grown on<br />

PDA was transferred into each 250 ml conical flask containing 25<br />

ml test media were incubated in B.O.D. incubator at 25°C for 20<br />

days. To observe the sporulation on 21 day old culture the filtrate<br />

was diluted thousand times and spores per microscopic field were<br />

counted with the help of Heamocytometer for sporulation index and<br />

results obtained are presented in the table. The fungal growth of<br />

each flask was separated on oven dried whatman filter paper No.<br />

42 and subsequently oven dried for 48 h at 50°C to obtain the true<br />

weight of the mycelial mat. The dry weight of the fungal growth was<br />

obtained by subtracting the weight of filter paper with four<br />

replications. The fungal growth of each isolate by weight of oven<br />

dried mycelial mat was obtained.<br />

Sporulation index<br />

This is shown is Table 2.<br />

Fungicide sensitivity among isolates<br />

Effect of four fungicides viz, Sure (carbendazim 12% + mancozeb<br />

63% WP), Mancozeb, Ridomil-MZ 72 WP (metalaxyl 8% +<br />

mancozeb 64% WP) and Kvistin (carbendazim 50% WP) on<br />

mycelial growth of A. brassicae isolates was studied in vitro at 200<br />

and 500 ppm concentrations. Stock solutions (10, 000 mg/l) were<br />

prepared for each active ingredient in distilled water. The solvent<br />

Meena et al. 5251<br />

concentration in both controls and assays never exceeded 1% (v/v).<br />

Aliquots of stock solutions were incorporated to autoclaved PDA<br />

medium at 45-50°C to get desired concentrations of 200 and 500<br />

ppm by mixed thoroughly before plating using poisoned food<br />

technique (Nene and Thapaliyal, 1993). Amended medium with the<br />

fungicides was then poured into each Petri plate and inoculated<br />

with 2 mm mycelial disc of each isolate separately and incubated at<br />

25±2°C. Medium without fungicide served as control. Thus, isolates<br />

were classified into three major groups‟ viz., highly resistant (HR),<br />

moderately resistant (MR) and sensitive (S). The radial growth of A.<br />

brassicae colonies in diameter of tested isolates on PDA medium<br />

was measured after 10 days and per cent inhibition was calculated<br />

by the following formula.<br />

Percentage inhibition = Growth of the pathogen in control – the<br />

presence of antagonist × 100/ Growth of pathogen in control plate.<br />

Pathogen aggressiveness<br />

In this experiment, two leaves (3rd/4th true leaves) were collected<br />

from 45 day-old plants having approximately six leaves to<br />

determined aggressiveness of A. brassicae isolates of 8 different<br />

Brassica species. Five cultivar/ genotypes of B. juncea including<br />

PHR-2, PAB-9511 and EC-399299 as tolerant and Varuna and<br />

Rohini as susceptible, Sinapis alba, Eruca sativa, B. oleracea, B.<br />

carinata (Kiran), B. rapa spp toria (PT-303), B. rapa spp. brown<br />

sarson (BSH-1) and B. napus (GSL-1) were screened for reaction<br />

against 30 isolates of A. brassicae.<br />

A replicate for the detached leaf test consisted of three randomly<br />

selected leaves from a set of the 3 rd /4 th true leaves collected from<br />

several plants that were pooled. The turgidity of detached leaves<br />

was maintained by plugging the petioles with moist cotton in 200<br />

mm size Petri plates having fourfold moist sterilized filter paper in<br />

bottom. Conidia of a 10 day-old culture were washed off with<br />

distilled water and filtered through cheesecloth of 0.1 mm diameter<br />

mesh size. The conidial suspension was then shaken and<br />

supplemented with 10 μl Tween-20 l -1 of suspension. The<br />

concentration of the conidial suspension was determined at least<br />

three times using a haematocytometer and adjusted to 5x10 4<br />

conidia ml -1 then incubated at 25±2°C for 3 days in the dark<br />

controlled-temperature room. Isolate aggressiveness was also<br />

evaluated with regard to the growth rate of individual lesions.<br />

Lesion size was measured after 10 days of inoculation.<br />

RESULTS AND DISCUSSION<br />

The pathosystem<br />

Severity of Alternaria blight on oilseed Brassicas differ<br />

from seasons to season and among regions as also<br />

between individual crops within a region. This may be<br />

due to existence of variability among isolates of Alternaria<br />

species. Mean maximum Alternaria blight disease<br />

severity both on leaves and pods was observed during<br />

2009 at Pantnagar followed by Faizabad, Dholi, Kangra,<br />

Kanpur, Morena and Hisar where the weather conditions<br />

were conducive for development of the pathogen.<br />

Disease pressure was observed mild at Bharatpur,<br />

Sriganganagar and Jaipur districts of Rajasthan (Table<br />

3). This reflected the adaptation of the respective isolates<br />

to the ambient conditions in the different cropping areas,<br />

where the disease occurs in varied proportions in<br />

different years. Disease dynamics in the Brassica-


5252 Afr. J. Microbiol. Res.<br />

Table 3. Percent Alternaria blight disease severity on Brassica spp. during 2009.<br />

Genotypes JAG DOL HSR PNT MOR KNG NAV BHP<br />

PHR 2 (Bj) 29.9 (25.0) 43.6 (47.5) 31.6 (27.5) 39.0 (39.6) 46.5 (52.7) 41.7 (44.3) 20.1 (11.7) 15.2 (27.1)<br />

PBC 9221 (Bc) 15.7 (7.5) 43.6 (47.5) 18.4 (10.0) 39.0 (39.6) 42.9 (46.3) 36.3 (35.0) 7.9 (1.9) 7.7 (16.1)<br />

GSL 1 (Bn) 24.7 (17.5) 50.8 (60.0) 15.9 (7.5) 48.6 (56.3) 49.4 (57.7) 39.7 (40.9) 15.2 (6.9) 8.4 (16.8)<br />

VARUNA (Bj) 42.1 (45.0) 49.3 (57.5) 38.2 (38.3) 51.0 (60.4) 50.2 (59.0) 53.3 (64.3) 17.4 (8.9) 25.3 (33.0)<br />

C.D. (P < 0.05) 6.5 2.8 3.1 3.7 10.9 4.8 1.5 1.1<br />

Figures in parenthesis are arc sin transformation and others are original values.<br />

Figure 1. Conidia of different A. brassicae isolates.<br />

Alternaria system are highly epidemic, and follow a clear<br />

„boom-and-bust‟ pattern, with prevalence in local<br />

populations often reaching 100% by the end of February<br />

during the growing season (Kolte, 1985; Chattopadhyay<br />

et al., 2005).<br />

Morphological variability among isolates<br />

The 22 single-spore isolates of A. brassicae showed<br />

significant (P


Table 4. Conidial size of different geographical isolates of A. brassicae*.<br />

A. brassicae isolates Length (µm) Width (µm) Beak length (µm)<br />

Meena et al. 5253<br />

No. of Septa<br />

Horizontal Vertical<br />

BAB-02 152.3 47.5 47.3 3.8 1.3<br />

BAB-04 185.1 47.3 95.2 3.5 0.9<br />

BAB-06 252.1 33.9 178.0 6.8 0.1<br />

BAB-08 106.7 33.5 48.3 3.8 0.3<br />

BAB-18 285.9 47.5 180.0 6.3 0.5<br />

BAB-19 140.6 44.2 61.4 3.2 0.9<br />

BAB-20 189.7 35.6 111.5 4.2 0.3<br />

BAB-23 211.7 41.8 125.9 3.7 0.7<br />

BAB-28 122.2 34.7 44.7 3.4 0.4<br />

BAB-29 198.4 43.4 104.7 3.8 0.9<br />

BAB-30 193.6 57.0 87.3 3.2 0.9<br />

BAB-39 144.5 37.2 70.9 3.2 0.5<br />

BAB-40 198.2 41.6 100.4 5.6 1.1<br />

BAB-41 206.5 44.2 116.8 4.0 0.8<br />

BAB-42 196.6 33.7 113.9 5.5 0.1<br />

BAB-43 147.5 36.6 66.7 3.3 0.5<br />

BAB-44 140.6 35.4 67.9 3.5 0.4<br />

BAB-45 144.1 48.3 41.4 3.4 1.4<br />

BAB-47 168.1 40.4 76.2 4.1 0.9<br />

BAB-48 151.1 33.9 73.9 4.6 0.4<br />

BAB-49 201.2 44.6 105.9 6.1 1.1<br />

BAB-50 284.3 40.0 172.7 8.0 0.6<br />

Mean 182.8 41.0 95.0 4.4 0.7<br />

CV% 26.07 15.25 43.82 30.82 53.41<br />

*Average of 50 conidia in each isolates.<br />

Table 5. Mycelial growth of A. brassicae under different temperatures and relative humidity conditions.<br />

A. brassicae<br />

isolate<br />

Radial growth (mm)*<br />

Temperatures (°C) 1 Relative Humidity (%) 2<br />

15 20 25 30 35 40 50 60 70 75 80 85 90 95 100<br />

BAB-18 16.7 16.0 24.7 24.7 16.3 12.3 10.0 13.3 20.0 22.3 24.3 26.3 24.7 29.3 31.3<br />

BAB-19 11.0 16.3 27.0 25.3 16.0 12.7 10.5 13.5 20.5 21.7 23.5 25.7 27.0 29.0 30.0<br />

BAB-20 15.3 19.0 30.0 27.3 18.0 12.7 10.3 13.0 20.3 21.3 24.0 26.7 30.0 28.7 29.5<br />

BAB-23 11.0 15.3 24.0 21.0 15.0 13.0 11.7 14.0 21.0 23.0 25.0 27.7 24.0 30.7 31.0<br />

BAB-30 16.7 16.7 28.0 23.3 16.3 12.3 9.7 12.7 19.5 21.5 23.7 26.7 28.0 29.3 30.0<br />

BAB-43 14.3 15.0 29.3 29.0 16.0 10.0 10.7 13.0 20.3 22.0 24.7 27.0 29.3 29.0 30.0<br />

BAB-48 15.7 16.3 24.3 27.0 16.0 14.0 11.0 13.7 19.7 22.7 24.5 27.3 24.3 29.3 30.5<br />

L.S.D.<br />

(P < 0.05)<br />

Temperature: 2.2; Isolate: 1.8<br />

Temperature x isolate: 2.1<br />

*mean of three replications, 1 Relative Humidity 100%, 2 Temperature 25°C.<br />

been reported earlier by many workers (Sharma and<br />

Tewari, 1998, Meena et al., 2005; Singh et al., 2007).<br />

Most favourable optimal temperature 23-25°C for<br />

sporulation has been reported (Kadian and Saharan,<br />

Relative Humidity: 3.2; isolate: 2.1<br />

Relative humidity x isolate: 2.2<br />

1984; Ansari et al., 1989). In the present study, different<br />

temperatures were found optimum for mycelial growth<br />

and sporulation of different isolates of A. brassicae, which<br />

showed cultural variability among them. This temperature


5254 Afr. J. Microbiol. Res.<br />

Figure 2. Variability in wet and dry mycelial weight of A. brassicae isolates on different<br />

media.<br />

ranged from 25 to 30°C and 15 to 35°C for mycelia<br />

growth and sporulation, respectively. The enormous<br />

disparity available among only twenty two isolates of A.<br />

brassicae also indicates their ability to adapt to varied<br />

climatic situations. These findings are supported by Singh<br />

et al. (2007), who also found variability among different A.<br />

brassicae isolates of different geographical origin for<br />

temperature requirement. Further, the higher temperature<br />

and RH being favourable for Berhampore isolate could be<br />

related with climatic condition of the West Bengal state,<br />

where temperature and RH during rapeseed-mustard<br />

crop season is generally higher than other geographical<br />

regions in India (Table 1).<br />

Cultural characteristic of A. brassicae isolates<br />

Isolates of A. brassicae showed variable cultural<br />

characteristics varied from regular to irregular, cottony<br />

white, dark green to light brown mycelial growth and<br />

based on characteristics, all A. brassicae isolates could<br />

be grouped into four colony types. Group 1 isolates<br />

produced white to pale gray or apricot orange colonies<br />

with a cottony texture. Tufts of sterile white hyphae were<br />

present at the center of the colony. Group 2 isolates<br />

produced dark olive gray to iron gray colonies with wavy<br />

or torn margin and fluffy to woolly colony texture. Group 3<br />

isolates produced pale olive gray to olive gray colonies,<br />

often with a very thin (1 to 2 mm) white margin with<br />

woolly to cottony colony texture. Diffusible pigments<br />

absent, although all isolates produced whitish crystals in<br />

agar medium underneath the mycelial mat and some<br />

produced crystals in great abundance. Group 4 consisted<br />

of colonies showed lettuce green to olive green and<br />

usually had a prominent (2 to 5 mm) white margin.<br />

Colony texture was fulfy to woolly. This group did not<br />

produce diffusible pigments, but about half of the isolates<br />

produced whitish crystals in the agar medium underneath<br />

the mycelial mat.<br />

Effect of culture media<br />

Different test synthetic broth media showed profound<br />

variation in wet biomass of mycelium of A. brassicae<br />

isolates infecting rapeseed-mustard. Maximum wet<br />

mycelial biomass of A. brassicae isolates (BAB 48, BAB<br />

42, BAB, 40 and BAB 44) was recorded in Elliot‟s<br />

medium, followed by Brown‟s medium, Czapeck‟s<br />

medium. However, least mycelial wet biomass was<br />

observed for all isolates in Asthana and Howker‟s<br />

medium. Maximum dry mycelial biomass of A. brassicae<br />

isolates (BAB 50, BAB 19, BAB, 49 and BAB 42) was<br />

recorded in Czapeck‟s medium followed by Elliot‟s<br />

medium. However, least mycelial dry weight was<br />

observed for all isolates in Brown‟s medium and Asthana<br />

and Hawker‟s medium (Figure 2).<br />

Maximum sporulation was observed in BAB 28 followed<br />

by BAB-18 isolate in Eilliot‟s, Richard‟s and Asthana and<br />

Howker‟s medium. Brown‟s medium showed no<br />

sporulation in all isolates. However, Asthana and<br />

Howker‟s medium showed good sporulation in almost all<br />

the isolates (Table 6). Poor sporulation of A. brassicae in<br />

different synthetic media indicated that the fungus require<br />

some organic sources of nutrition for better growth and<br />

sporulation.<br />

Fungicide sensitivity among isolates<br />

Maximum per cent mycelial growth inhibition over control<br />

at 200 ppm concentration was observed in metalaxyl +


Table 6. Sporulation of Alternaria brassicae isolates on different culture media.<br />

Meena et al. 5255<br />

Isolates Brown's Eilliot's Asthana and Howker's Czapek’s Richard’s<br />

BAB-02 - + ++ + -<br />

BAB-04 - ++ + ++ +++<br />

BAB-06 - + + + -<br />

BAB-08 - + ++ + -<br />

BAB-18 - ++++ ++ ++ ++<br />

BAB-19 - - + - +<br />

BAB-20 - - ++++ + ++<br />

BAB-23 - - ++ + +<br />

BAB-28 - ++++ ++++ ++++ +++<br />

BAB-29 - + + + -<br />

BAB-30 - - ++ + ++<br />

BAB-39 - - ++ - -<br />

BAB-40 - - ++ + +<br />

BAB-41 - ++ + + -<br />

BAB-42 - - + + +++<br />

BAB-43 - + - - +<br />

BAB-44 - + ++ + +<br />

BAB-45 - + - - +<br />

BAB-47 - + + + +<br />

BAB-48 - + + + -<br />

BAB-49 - - +++ + -<br />

BAB-50 - ++ + ++ +++<br />

Mycelial growth inhibition (%)<br />

Figure 3. Fungicide sensitivity of A. brassicae isolates at 200 ppm concentration.<br />

mancozeb fungicide with a wide variation ranged from 8.9<br />

percent (BAB- 41) to 92.5% (BAB-48). While at 500 ppm,<br />

growth inhibition was in carbendazim fungicide with a<br />

wide variation ranged from 8.9% (BAB- 41) to 92.5%<br />

(BAB-48). However, fungicide carbendazim provided<br />

least mycelial growth inhibition over control ranged from<br />

2.6 (BAB-44) to 86.1% (BAB-08). Isolates, BAB-44, BAB-<br />

Mancozeb kvistin<br />

45, BAB-19, BAB-41, BAB-40, BAB-50 and BAB-23 were<br />

found sensitive to fungicides which showed similar<br />

response against all four test fungicides in inhibiting<br />

mycelial growth. Isolates viz., BAB-08, BAB-18, BAB-47,<br />

BAB-20, BAB-39 and BAB-48 were found highly resistant<br />

to test fungicides, seems to be highly virulent (Figure 3),<br />

Based on the mycelial growth in fungicide assay at 500


5256 Afr. J. Microbiol. Res.<br />

Mycelial growth inhibition (%)<br />

Figure 4. Fungicide sensitivity of A. brassicae isolates at 500 ppm concentration.<br />

ppm concentration (Figure 4), A. brassicae isolates were<br />

categorized into three major group‟s viz., highly resistant<br />

(BAB-02, BAB-18, BAB-24, BAB-26, BAB-29, BAB-40,<br />

BAB-44, BAB-47, BAB-50, BAB-51, BAB-52, BAB-53),<br />

moderately resistant (BAB-06, BAB-08, BAB-12, BAB-<br />

19BAB-23, BAB-39, BAB-41, BAB-43, BAB-54) and<br />

sensitive (BAB-03, BAB-04, BAB-20, BAB-28, BAB-42,<br />

BAB-45, BAB-49, BAB-55, BAB-56). Similar observations<br />

recorded when studying the effect of difenoconazole on<br />

A. alternata (Reuveni and Sheglov, 2002).<br />

Results indicated that all test fungicides showed<br />

inhibition over control (Figure 2) but differ in percent<br />

inhibition of mycelial growth which may be due to the<br />

variation towards sensitivity among A. brassicae isolates.<br />

The present findings are in line with Meena et al. (2004)<br />

in controlling A. brassicae with mancozeb, but differ in<br />

percent inhibition of mycelial growth. Our results<br />

indicated that mancozeb and sure caused significant<br />

reductions of mycelial growth of A. Brassicae. However,<br />

iprodione was efficient in reducing germ tube length with<br />

EC50 below 10 mg/l observed for A. brassicicola isolates<br />

(Huang and Levy, 1995) but these authors also found<br />

that this fungicide was able to inhibit germination at<br />

concentrations as low as 5 mg/l. During the course of this<br />

study, four A. brassiciae isolates highly resistant to<br />

mancozeb were identified. Resistance of A. brassicicola<br />

to iprodione has already been documented by Huang and<br />

Levy (1995). Our results proved with the earlier study of<br />

thirteen isolates of A. brassicae tested on oilseed rape<br />

differed in their virulence (Mirdha, 1983). Based on radial<br />

Alternaria brassicae isolates<br />

mycelial growth, A. brassicae isolates could be<br />

categorized into three major groups viz., highly resistant,<br />

moderately resistant and sensitive (Table 7).<br />

Pathogen aggressiveness<br />

Different isolates of A. brassicae showed variable<br />

response on host differentials of Brassica species.<br />

Significant tolerance with minimum lesion size was<br />

observed in Brassica alba, EC-399299, B. juncea (PAB<br />

9511), Eruca sativa and B. carinata, B. napus. Variation<br />

in tolerance and susceptibility on same host depending<br />

on aggressiveness of isolates revealed that the variability<br />

exist among A. brassicae isolates (Table 7). Different<br />

Brassica species showed variable reaction against same<br />

isolate, which reflect the variation among the geographical<br />

isolates that may be used as host differentials<br />

against A. brassicae. Highest mean susceptibility for A.<br />

brassicae isolates was observed on B. juncea cultivars<br />

Varuna and Rohini while tolerance was recorded on B.<br />

alba and B. napus. Penetration by pathogen through<br />

wounds of host plants has been a significant component<br />

of infection process for Alternaria spp. (Rotem, 1994).<br />

ACKNOWLEDGEMENTS<br />

Funding was received under the Outreach Programme<br />

(ICAR) and facilities were provided by DG, and ICAR.


Table 7. Reaction of different genotypes/ species of Brassica against Alternaria brassicae isolates.<br />

Isolates S. alba PHR-2(B.j)<br />

(B.j)<br />

Varuna<br />

(B.j)<br />

PAB-9511<br />

(B.j)<br />

Rohini<br />

(B.j)<br />

EC399299<br />

B. rapa<br />

(BSH-1)<br />

E. sativa<br />

B. rapa<br />

ssp toria<br />

B. carinata B. napus<br />

(GSL-1)<br />

Meena et al. 5257<br />

B. oleracea<br />

BAB-01 0.0 6.5 2.0 5.5 5.0 3.5 3.9 8.7 6.0 6.8 4.3 6.3<br />

BAB-02 10.3 4.6 9.0 6.6 6.6 4.8 7.5 7.3 5.1 6.0 1.5 7.3<br />

BAB-03 8.5 0.0 4.1 6.8 6.7 11.0 6.0 8.1 5.8 9.3 5.1 8.3<br />

BAB-04 7.4 10.8 8.5 7.4 10.0 9.8 6.6 9.0 8.4 2.8 5.8 9.4<br />

BAB-05 7.5 8.2 15.5 4.6 5.7 6.6 4.6 9.7 8.6 8.3 3.1 8.5<br />

BAB-06 0.0 7.5 17.8 4.4 5.8 6.8 6.0 8.4 10.3 10.3 9.5 8.1<br />

BAB-07 0.0 9.0 4.8 5.8 6.3 10.7 5.8 7.9 5.8 1.5 5.2 9.7<br />

BAB-08 7.0 7.8 17.3 7.1 18.9 7.4 6.2 8.5 8.0 11.1 6.5 10.2<br />

BAB-09 9.8 3.6 6.6 7.0 7.1 8.4 9.6 7.9 12.2 7.1 6.8 7.1<br />

BAB-10 7.9 7.8 17.8 0.0 20.0 8.0 5.1 9.2 7.0 5.0 7.1 9.6<br />

BAB-11 9.3 6.3 6.0 5.4 8.3 9.1 3.8 2.4 8.0 3.3 8.8 8.0<br />

BAB-12 7.1 5.9 8.0 3.8 6.6 9.6 6.3 6.2 7.7 5.0 6.1 9.3<br />

BAB-13 8.2 12.2 18.7 8.5 18.0 8.2 8.9 5.8 8.4 3.4 3.5 8.0<br />

BAB-14 4.0 8.7 9.4 6.8 7.0 6.3 7.8 10.5 9.8 6.3 3.3 9.2<br />

BAB-15 3.5 7.9 7.5 7.8 8.1 6.9 3.6 7.9 6.2 11.6 5.3 5.9<br />

BAB-16 0.0 6.8 4.0 5.3 8.0 6.0 8.0 7.1 6.3 10.5 7.4 8.8<br />

BAB-17 5.9 11.0 7.1 9.0 16.8 7.9 6.6 7.1 10.8 11.0 7.4 8.0<br />

BAB-18 8.3 9.9 17.2 7.6 15.2 5.3 7.3 8.3 6.1 9.0 10.7 6.4<br />

BAB-19 9.6 3.3 5.0 10.5 7.5 1.9 8.0 11.2 7.1 9.3 12.3 8.7<br />

BAB-20 6.3 7.8 11.9 7.5 6.6 0.0 8.1 8.2 8.0 8.3 11.0 11.0<br />

BAB-21 5.8 5.8 9.8 9.2 6.8 6.9 8.6 8.1 7.0 0.0 4.9 9.1<br />

BAB-22 8.8 9.8 5.9 7.1 6.4 8.0 6.0 6.3 7.0 6.7 9.3 10.5<br />

BAB-23 0.0 10.5 7.3 10.1 10.0 7.1 7.7 7.5 5.7 4.9 11.7 9.0<br />

BAB-24 6.3 4.9 17.6 13.0 14.0 4.7 8.6 7.4 7.6 9.3 9.5 10.0<br />

BAB-25 10.1 9.1 7.5 3.9 16.0 7.3 7.7 11.9 6.4 0.0 4.8 10.1<br />

BAB-26 10.1 9.6 7.6 5.0 8.8 5.8 5.8 6.9 3.5 7.3 2.5 10.3<br />

BAB-27 10.8 4.6 17.6 0.0 15.0 5.0 5.1 12.1 9.0 10.5 7.3 13.2<br />

BAB-28 9.3 8.7 8.2 2.9 10.3 9.7 6.0 9.0 5.0 6.8 10.2 8.3<br />

BAB-29 0.0 9.0 6.8 7.0 13.0 8.8 4.5 9.8 8.0 6.0 10.0 9.4<br />

BAB-30 7.8 9.4 8.8 8.3 11.2 9.3 6.9 7.9 7.6 9.6 11.1 10.8<br />

CD at 1% 3.2 3.9 3.0 4.2 3.2 3.4 4.0 2.4 2.2 2.5 2.6 3.8


5258 Afr. J. Microbiol. Res.<br />

Director, Directorate of Rapeseed-Mustard <strong>Research</strong>,<br />

Bharatpur is gratefully acknowledged for carrying out the<br />

investigation.<br />

REFERENCES<br />

Ansari NA, Wajid Khan M, Muheet A (1989). Effect of some factors on<br />

growth and sporulation of Alternaria brassicae causing Alternaria<br />

blight of rapeseed and mustard. Acta Bot. Indica, 17: 49-53.<br />

Awasthi RP, Kolte SJ (1989). Variability in Alternaria brassicae affecting<br />

rapeseed and mustard. Indian Phytopath., 42: 275.<br />

Bock CH, Thrall Peter H, Burdon Jeremy J (2005). Genetic structure of<br />

populations of Alternaria brassicicola suggests the occurrence of<br />

sexual recombination. Mycol. Res., 109(2): 227-236.<br />

Chattopadhyay C, Agrawal R, Kumar A, Bhar LM, Meena PD, Meena<br />

RL, Khan SA, Chattopadhyay AK, Awasthi RP, Singh SN,<br />

Chakravarthy NVK, Kumar A, Singh RB, Bhunia CK (2005).<br />

Epidemiology and forecasting of Alternaria blight of oilseed Brassica<br />

in India – a case study. J. Pl. Dis. Prot., 112(4): 351-365.<br />

Chatopadhyay C, Appaji S (2000). Factors affecting Plasmopara<br />

halstedii (Farl.) Berl. and de Toni. Annals Pl. Prot. Sci., 8: 36-39.<br />

Huang R, Levy Y (1995). Characterization of iprodione-resistant isolates<br />

of Alternaria brassicicola. Plant Dis., 79: 828-833.<br />

Kadian AK, Saharan GS (1984). Studies on spore germination and<br />

infection of Alternaria brassicae of rapeseed-mustard. J. Oilseed<br />

Res., 1: 183-188.<br />

Kaur S, Singh G, Banga SS (2007). Documenting variation in Alternaria<br />

brassicae isolates based on conidial morphology, fungicidal<br />

sensitivity and molecular profile. (in) Proceeding of the 12th<br />

International Rapeseed Congress, 26–30 March, Wuhan, China, 4:<br />

87-89.<br />

Kolte SJ (1985). Diseases of Annual Edible Oilseed Crops, Vol. II,<br />

Rapeseed-Mustard and Sesame Diseases. CRC Press Inc. Boca<br />

Raton, Florida, USA, p. 135<br />

Meena PD, Awasthi RP, Chattopadhyay C, Kolte SJ, Kumar A (2010a).<br />

Alternaria blight: a chronic disease in rapeseed-mustard. J. Oilseed<br />

Brassica, 1: 1-11.<br />

Meena PD, Chattopadhyay C, Kumar VR, Meena RL, Rana US (2005).<br />

Spore behaviour in atmosphere and trends in variability of Alternaria<br />

brassicae population in India. J. Mycol. Plant Pathol., 35: 511.<br />

Meena PD, Gupta R, Rani A, Sharma P, Rai PK, Chowdappa P<br />

(2010b). Morphological and cultural variability among Alternaria<br />

brassicae isolates from India. In: Souvenir cum Abstracts of National<br />

Symposium on “Molecular Approaches for Management of Fungal<br />

Diseases of Crop Plants” during 27-30, Dec 2010 held at IIHR,<br />

Bangalore, pp. 184-185.<br />

Meena PD, Meena RL, Chattopadhyay C, Kumar A (2004).<br />

Identification of critical stage for disease development and biocontrol<br />

of Alternaria blight of Indian mustard (Brassica juncea). J. Phytopath.,<br />

152: 204-209.<br />

Mirdha MAU (1983). Virulence of different isolates of Alternaria<br />

brassicae on winter oilseed rape cultivars. 6th Intl. Rapeseed<br />

Congress, Paris, France, 17-19 May 1983, pp. 1025-1029.<br />

Nene YL, Thapliyal PN (1993). Fungicides in Plant Disease Control.<br />

Oxford and IBH Publ. Co., New Delhi, p. 507<br />

Reuveni M, Sheglov D (2002). Effects of azoxystrobin, difenoconazole,<br />

polyoxin B (polar) and trifloxystrobin on germination and growth of<br />

Alternaria alternata and decay in red delicious apple fruit. Crop. Prot.,<br />

21: 951-955.<br />

Rotem J (1994). The Genus Alternaria: Biology, Epidemiology and<br />

Pathogenicity. St Paul, MN, USA: APS press, p. 326.<br />

Sharma TR, Tewari JP (1998). RAPD analysis of three Alternaria<br />

species pathogenic to crucifers. Mycol. Res., 102: 807-814.<br />

Simmons EG (2007). Alternaria: An Identification Manual. CBS<br />

Biodiversity Series No. 6, Utrecht, The Netherlands, p. 775.<br />

Singh D, Singh R, Singh H, Yadav R C, Yadav N, Barbetti M, Salisbury<br />

P, Nimbal S, Chattopadhyay C, Kumar A (2007). Cultural and<br />

morphological variability in Alternaria brassicae isolates of Indian<br />

mustard (Brassica juncea L. Czern & Coss.). (in) Proceeding of the<br />

12th International Rapeseed Congress, 26-30 March, Wuhan, China,<br />

4: 158-160.<br />

Varma PK, Singh S, Gandhi SK, Chaudhary K. (2006). Variability<br />

among Alternaria solani isolates associated with early blight of<br />

tomato. Comm. Agril. Appl. Biol. Sci., 71: 37-46.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp. 5259-5265, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.791<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Heterogeneity of aminoglycoside resistance genes<br />

profile in clinical Staphylococcus aureus isolates<br />

Salwa Bdour<br />

Department of Biological Sciences, Faculty of Science, University of Jordan, Amman, Jordan.<br />

E-mail: bsalwa@ju.edu.jo. Tel: 962-6-5355000 Ext. 22333. Fax: 962-6-5348939.<br />

Accepted 25 May, 2012<br />

One hundred clinical Staphylococcus aureus including 57 methicillin-resistant (MRSA) and 43<br />

methicllin-sensitive (MSSA) isolates were analyzed for susceptibility to three aminoglycosides and for<br />

the presence of genes encoding aminoglycoside modifying enzymes (AMEs). 52% of these isolates<br />

were resistant to 1-3 aminoglycosides, which included 65% MRSA and 35% MSSA isolates. The<br />

aminoglycoside resistance genes were more frequently identified in MRSA than in MSSA isolates. The<br />

most frequent gene was aac(6')/aph(2") and it was detected in 45% S. aureus isolates which included<br />

52.6% MRSA and 34.8% MSSA isolates. The second prevalent gene was ant(4',4") and it was detected in<br />

31% S. aureus which included 40.3% MRSA and 18.6% MSSA isolates. 21% of S. aureus isolates<br />

including 29.8% MRSA and 9.3% MSSA isolates, carried the aph(3')III gene. The most frequent<br />

combination of genes was aac(6′)/aph(2′′) with ant(4',4") in 22.8% MRSA and in 16.2% MSSA isolates.<br />

The second dominant gene combination was aac(6')/aph(2") with aph(3')III in 17.5% MRSA and in 6.9%<br />

MSSA isolates. The ant(4',4") and aph(3′)III combination existed only in 7% MRSA isolates. The 3 genes<br />

coexisted in 5.3% MRSA and in 2.3% MSSA isolates. The concordance between the presence of genes<br />

and aminoglycoside resistance phenotype was observed in most MRSA and MSSA isolates. Emerging<br />

of isolates harboring these genes must not be ignored because it limits the choices in the number of<br />

antibiotics available to clinicians to treat staphylococcal infections in risk patients.<br />

Key words: Staphylococcus aureus, aminoglycoside resistance genes, methicillin-resistant, methicillinsensitive,<br />

polymerase chain reaction, Jordan.<br />

INTRODUCTION<br />

Methicillin–resistant Staphylococcus aureus (MRSA) is a<br />

major cause of hospital and community-acquired infections<br />

(Konno et al, 1995; Kluytmans-VandenBergh and<br />

Kluytmans, 2006). MRSA isolates may also be resistant<br />

to a wide range of antibiotics including aminoglycosides<br />

which are often used in combination with either a βlactam<br />

or a glycopeptide, for treatment of serious staphylococcal<br />

infections such as bacteremia and endocarditis<br />

(Baddour et al., 2005; Cosgrove et al., 2009; Kim et al.,<br />

2010). The main mechanism of aminoglycoside<br />

resistance is drug inactivation by aminoglycoside<br />

modifying enzymes (AMEs) (Nakaminami et al., 2008;<br />

Fatholahzadeh et al., 2009) which can be plasmid-borne<br />

or chromosomally encoded on transposable elements<br />

(Byrne et al., 1990; Chambers, 1997; Ito et al., 1999;<br />

Vakulenko and Mobashery, 2003). The bifunctional<br />

enzyme, aminoglycoside-6'-N-acetyltransferase/2"-Ophosphoryltransferase<br />

[AAC(6')/APH(2")], encoded by the<br />

aac(6′)/aph(2′′) gene, is the most frequently encountered<br />

AME in staphylococcal isolates and mediates resistance<br />

to gentamicin, tobramycin, kanamycin, dibekacin,<br />

netilmicin, amikacin and isepamicin (Byrne et al., 1990;<br />

Vakulenko and Mobashery, 2003). Additional enzyme<br />

such as aminoglycoside-4'-O–nucleotidyltransferase I<br />

[ANT(4')-I] encoded by ant(4′)-Ia is known to mediate<br />

resistance to neomycin, amikacin, kanamycin and<br />

tobramycin in staphylococci (Chambers, 1997; Ito et al.,<br />

1999; Vakulenko and Mobashery, 2003). Resistance to


5260 Afr. J. Microbiol. Res.<br />

Table 1. Primers and the anticipated sizes of the target region s for the tested genes.<br />

Target gene Primer sequence Size of the target region (bp)<br />

rrs (16S rRNA)<br />

aac(6')/aph(2")<br />

aph(3') III<br />

ant(4', 4")<br />

5'-GGATTAGATACCCTGGTAGTCC-3'<br />

5'-TCG TTGCGGGACTTAACCCAAC -3'<br />

5'-CCAAGAGCAATAAGGGCATA-3'<br />

5'-CACTATCATAACCACTACCG -3'<br />

5'-GCCGATGTGGATTGCGAAAA-3'<br />

5'-GCTTGATCCCCAGTAAGTCA -3'<br />

5'-GCAAGGACCGACAACATTTC -3'<br />

5'-TGGCACAGATGGTCATAACC -3'<br />

neomycin, and kanamycin is also conferred by an<br />

aminoglycoside-3'-O-phosphoryltransferase III [APH(3')-<br />

III] encoded by aph(3′)-III (Vakulenko and Mobashery,<br />

2003; Woodford, 2005). The acetylated, phosphorylated<br />

or adenylated aminoglycosides do not bind to ribosomes,<br />

and thus do not inhibit protein synthesis (Woodford,<br />

2005). AME produced by MRSA isolates can be<br />

determined by identifying the corresponding genes (Van<br />

De Klundert and Vliegenthart 1993; Schmitz et al., 1999;<br />

Hauschild et al., 2008).<br />

Development of multiple aminoglycosides resistant<br />

MRSA isolates was reported in different countries around<br />

the world (Schmitz et al., 1999; Ida et al., 2001; Choi et<br />

al., 2003; Nakaminami et al., 2008; Ardic et al., 2006;<br />

Fatholahzadeh et al., 2009; Liakopoulos et al., 2011).<br />

Differences in prevalence of these isolates is linked to the<br />

antibiotic policies applied in different countries (Schmitz<br />

et al., 1999; Mangeney et al., 2002). Infections caused by<br />

these isolates are particularly difficult to treat, often<br />

associated with high mortality and increased healthcare<br />

costs (Klein et al., 2007; Nickerson et al., 2009). There is<br />

currently little information on the prevalence and<br />

predominant types of AME genes in MRSA isolated in the<br />

Middle-East countries where the prevalence of MRSA is<br />

high (Ardic et al., 2006; Fatholahzadeh et al., 2009). In<br />

Jordan, the prevalence of clinical MRSA is 57% (Al-Zu’bi,<br />

et al. 2004) and the aminoglycosides are widely used in<br />

the hospitals and community in the absence of national<br />

antimicrobial use guidelines (Al-Bakri et al., 2005). Also,<br />

reports on the aminoglycoside susceptibility phenotype of<br />

MRSA isolates, and the prevalence and distribution of the<br />

aminoglycoside resistance genes in these isolates are<br />

lacking. Therefore, the aim of the present study was to<br />

provide information regarding the prevalence and<br />

distribution of aac(6′)/aph(2′′), ant(4', 4") and aph(3′)-III<br />

genes encoding the most clinically relevant AMEs in<br />

clinical methicillin-resistant and sensitive S. aureus<br />

isolates. This information is necessary to define a<br />

baseline for monitoring possible future increase in the<br />

320<br />

220<br />

292<br />

165<br />

prevalence of resistant strains and for the implementation<br />

of an antibiotic use policy in Jordan.<br />

MATERIALS AND METHODS<br />

Bacterial strains<br />

This study included 100 clinical S. aureus isolates which were<br />

obtained from various clinical specimens submitted to the<br />

microbiology laboratory of Jordan University Hospital, Amman,<br />

Jordan. These isolates were identified by biochemical tests. Their<br />

sensitivity to oxacillin was studied and the mecA gene was detected<br />

by polymerase chain reaction (PCR) in 57 MRSA isolates (Al-Zu’bi<br />

et al., 2004).<br />

Antimicrobial susceptibility test<br />

In vitro susceptibility of 57 MRSA and 43 methicillin-sensitive<br />

(MSSA) isolates to the aminoglycosides: gentamicin (Gen),<br />

tobramycin (Tob) and kanamycin (K) (Sigma, USA) was tested<br />

using the agar dilution method (Woods and Washington., 1995).<br />

Isolates with minimum inhibitory concentrations (MICs) of ≤4 µg/ml<br />

to gentamicin and tobramycin and MICs of ≤16 µg/ml to kanamycin<br />

were considered to be susceptible. Isolates with MICs of ≥16 µg/ml<br />

to gentamicin and tobramycin and MICs of ≥64 µg/ml to kanamycin<br />

were considered to be resistant.<br />

PCR detection of aminoglycoside resistance genes<br />

The aminoglycoside resistance genes in the cell lysate of the<br />

antibiotic resistant S. aureus isolates were detected by multiplex<br />

PCR (Van De Klundert and Vliegenthart, 1993) using 15 p.mole of<br />

each primer shown in Table 1. DNA amplification was carried out in<br />

GeneAmp PCR system 9600 (Perkin Elmer, USA) with the following<br />

thermal cycling profile: an initial denaturation at 94°C for 3 min<br />

followed by 32 cycles of 30 s at 94°C, 45 s at 60°C , 2 min at 72°C<br />

and final extension at 72°C for 7 min (Van De Klunde rt and<br />

Vliegenthart, 1993). The PCR products were detected in 3%<br />

agarose gel and band size was assessed by direct comparison with<br />

50 bp DNA ladder (Invitrogen life technologies, UK). S. aureus<br />

CECT 976 [possessing aaphA3 gene] kindly provided by the<br />

Spanish Type Culture Collection] and the mecA-positive S. aureus


Table 2. Susceptibility of the clinical S. aureus isolates to the tested aminoglycosides by the agar dilution method.<br />

*S. aureus Number<br />

א No. (%) of isolates resistant to<br />

Gentamicin Tobramycin Kanamycin<br />

╪ Aminoglycoside<br />

susceptibility profile<br />

Bdour 5261<br />

א No. (%) aminoglycoside<br />

resistant isolates<br />

Gen<br />

MRSA 57 30 (52.6) 35 (61.4) 31 (54.4)<br />

R , Tob R , K R 26 (45.6)<br />

Gen R , Tob R , K S 2 (3.5)<br />

Gen R , Tob S , K R Gen<br />

1 (1.7)<br />

R , Tob S , K I 1 (1.7)<br />

Gen S , Tob R , K R 4 (7)<br />

Gen S , Tob R , K S 3 (5.3)<br />

Total<br />

.<br />

37(65)<br />

Gen<br />

MSSA 43 14 (32.5) 14 (32.5) 13 (30.2)<br />

R , Tob R , K R 13 (30.2)<br />

Gen R , Tob S , K I 1 (2.3)<br />

Gen I , Tob R , K I 1 (2.3)<br />

Total 15 (35)<br />

Overall total 100 44 (44) 49 (49) 44 (44) 52 (52)<br />

* MRSA: Methicillin Resistant S. aureus; MSSA: Methicillin Sensitive S. aureus. ╪ Abbreviations: Gen, gentamicin; Tob, tobramycin; K,<br />

kanamycin. R, resistant; I, intermediate; S, sensitive to the antibiotic. א The percentage is based on the number of MRSA (57) or MSSA (43)<br />

isolates.<br />

ATCC 43300 [possessing aac (6′)/aph(2′′) and ant(4',4") genes] strains<br />

were used as positive PCR controls throughout this study.<br />

Statistical analysis<br />

The Z-test was used to compare the proportion of aminoglycoside<br />

resistance rate in MRSA and MSSA isolates. P < 0.05 was<br />

considered statistically significant (Johnson and Bhattacharyya,<br />

1996).<br />

RESULTS<br />

Susceptibility to the aminoglycosides<br />

The MICs of 100 S. aureus isolates to the tested<br />

aminoglycosides ranged from 0.25 to >256 µg/ml. A total<br />

of 48 (48%) isolates which included 20/57 (35%) MRSA<br />

and 28/43 (65%) MSSA isolates were sensitive to the<br />

three aminoglycosides. Fifty two (52%) S. aureus isolates<br />

were resistant to 1-3 aminoglycosides and included 37/57<br />

(65%) MRSA and 15/43 (35%) MSSA isolates. Of the<br />

100 S. aureus isolates, 44 (44%), 49 (49%) and 44 (44%)<br />

were resistant to gentamicin, tobramycin and kanamycin,<br />

respectively (Table 2). The aminoglycoside resistance<br />

rate in MRSA was significantly (P < 0.05) higher than that<br />

in MSSA isolates (Table 2). One MRSA isolate was<br />

intermediate resistant to kanamycin (MIC= 32 µg/ml).<br />

Two MSSA isolates were intermediate resistant to<br />

kanamycin and one was intermediate resistant to<br />

gentamicin (MIC = 8 µg/ml).<br />

Multi-resistance to three aminoglycosides (Gen R , Tob R ,<br />

K R ) was observed in 26/57 (45.6%) MRSA isolates and<br />

was significantly (P


5262 Afr. J. Microbiol. Res.<br />

Table 3. The prevalence of the AME genes in the clinical S. aureus isolates.<br />

S. aureus<br />

*No. (%) of isolates harboring the AME genes<br />

aac(6′)/aph(2′′) ant(4', 4") aph(3') III<br />

MRSA (n = 57) 30 (52.6) 23 (40.3) 17 (29.8)<br />

Gen R 30 0 0<br />

Tob R 28 23 0<br />

K R 27 20 16<br />

MSSA (n = 43) 15 (34.8) 8 (18.6) 4 (9.3)<br />

Gen R 14 0 0<br />

Tob R 14 8 0<br />

K R 13 7 4<br />

╪ Total No. (%) 45 (45) 31 (31) 21 (21)<br />

AME, aminoglycoside modifying enzyme; R, resistant; Gen, gentamicin; Tob, tobramycin; K,<br />

kanamycin.* The percentage is based on the number of MRSA (57) or MSSA (43) isolates; ╪ Total<br />

number of MRSA and MSSA isolates harboring each AME gene and percentage per 100 S. aureus<br />

isolates.<br />

K R -MRSA and 30.7 % (4/13) K R -MSSA isolates (Table 3).<br />

AME gene combinations in the multi-resistant S.<br />

aureus isolates<br />

Table 4 shows the distribution of the AME genes in S.<br />

aureus isolates with different aminoglycoside susceptibility<br />

phenotype. A total of 41% of the S. aureus isolates<br />

including 30/57 (52.6%) MRSA and 11/43 (25.5%) MSSA<br />

isolates harbored the aac(6′)/aph(2′′) gene in combination<br />

with either ant(4',4") and/or aph(3′)III or carried ant(4',4")<br />

in combination with aph(3′)III only. The most frequent<br />

combination of AME genes was aac(6′)/aph(2′′) with<br />

ant(4',4"). The prevalence of this combination in 13/57<br />

(22.8%) MRSA isolates was significantly higher (P =<br />

0.0088) than that in 7/43 (16.2%) MSSA isolates. The<br />

second dominant gene combination was aac(6')/aph(2")<br />

with aph(3')III. The prevalence of this combination in<br />

10/57 (17.5%) MRSA isolates was not significantly higher<br />

(P = 0.1212) than that in 3/43 (6.9%) MSSA isolates. The<br />

ant(4',4") and aph(3′)III combination existed only in 4/57<br />

(7%) MRSA.<br />

Four AME gene profiles (i to iv) were detected in the<br />

multi-resistant MRSA and MSSA isolates with Gen R ,<br />

Tob R , K R<br />

–phenotype (Table 4). The aac(6')/aph(2") and<br />

ant(4',4") gene combination was predominant in the four<br />

profiles and occurred in 13/26 (50%) Gen R , Tob R , K R -<br />

MRSA and in 6/13 (46%) Gen R , Tob R , K R -MSSA isolates.<br />

The second dominant AME gene profile in this phenotype<br />

included the aac(6')/aph(2") and aph(3')III combination in<br />

9/26 (34.6%) Gen R , Tob R , K R -MRSA and in 3/13 (23%)<br />

MSSA isolates. The 3 AME genes coexisted in 3/26<br />

(11.5%) multi-resistant Gen R , Tob R , K R -MRSA and in 1/13<br />

(7.7%) Gen R , Tob R , K R -MSSA isolates. These isolates<br />

were highly resistant to the tested aminoglycosides and<br />

most have MIC ≥128 µg/ml.<br />

Two AME gene profiles (i and ii) were detected in two<br />

MRSA isolates with Gen R , Tob R , K S<br />

–phenotype (Table 4).<br />

The aac(6')/aph(2") and aph(3')III combination was<br />

detected in one isolate only. However, aph(3')III and<br />

ant(4',4") combination was detected only in 4 multiresistant<br />

(Gen S , Tob R , K R ) MRSA isolates. The<br />

aac(6')/aph(2") and ant(4',4") combination was detected<br />

in one MSSA with Gen I , Tob R , K I phenotype (Table 4).<br />

On the other hand, one AME gene was detected in the<br />

remaining multi-resistant S. aureus isolates (Table 4).<br />

DISCUSSION<br />

Development of aminoglycoside resistance MRSA strains<br />

(Schmitz et al., 1999; Ida et al., 2001; Choi et al., 2003;<br />

Ardic et al., 2006; Nakaminami et al., 2008;<br />

Fatholahzadeh et al., 2009; Liakopoulos et al., 2011) has<br />

become a global threat to effective health care delivery<br />

(Klein et al., 2007; Nickerson et al., 2009). In the present<br />

study, 52% of S. aureus isolates were resistant to 1-3<br />

aminoglycosides which is higher than that in some<br />

European countries including Poland (38.1%) (Hauschild<br />

et al., 2008) and Greece (48.2%) (Liakopoulos et al.,<br />

2011). The higher prevalence may be due to the misuse<br />

of antibiotics in Jordan (Al-Bakri et al., 2005). A total of<br />

44, 49 and 44% of the Jordanian isolates were resistant<br />

to gentamicin, tobramycin and kanamycin, respectively<br />

(Table 2), which is within the range reported in Europe<br />

and Korea for gentamicin (6.3 to 66%), tobramycin (12.9<br />

to 71%) and kanamycin (48.2 to 97.8%) (Liakopoulos et<br />

al., 2011; Schmitz et al., 1999; Choi et al., 2003;<br />

Hauschild et al., 2008). The aminoglycoside resistance<br />

rate in MRSA was almost double that in MSSA isolates<br />

(Table 2) and it was due to the presence of 1-3 AME


Table 4. Aminoglycoside resistance genes in the clinical S. aureus isolates with different susceptibility phenotypes.<br />

S. aureus<br />

MRSA<br />

MSSA<br />

* Aminoglycoside<br />

susceptibility phenotype<br />

╪ Aminoglycoside resistance genes † Number (%) of isolates<br />

aac(6')/aph(2") ant(4', 4")<br />

aph(3') III<br />

Gen S , Tob S , K S ND ND ND 20 (35)<br />

Gen R , Tob R , K R<br />

Gene profile<br />

Gen R , Tob R , K S<br />

Gene profile<br />

(i) + + – 13 (22.8)<br />

(ii) + – + 9 (15.8)<br />

(iii) + + + 3 (5.3)<br />

(iv) + – – 1 (1.7)<br />

(i) + – – 1 (1.7)<br />

(ii) + – + 1 (1.7)<br />

Gen R , Tob S , K R + – – 1 (1.7)<br />

Gen R , Tob S , K I + – – 1 (1.7)<br />

Gen S , Tob R , K R – + + 4 (7)<br />

Gen S , Tob R , K S – + – 3 (5.3)<br />

Total 30 23 17 57<br />

Gen S , Tob S , K S ND ND ND 28 (65)<br />

Gen R , Tob R , K R<br />

Gene profile<br />

(i) + + – 6 (14)<br />

(ii) + – + 3 (7)<br />

(iii) + + + 1 (2.3)<br />

(iv) + – – 3 (7)<br />

Gen R , Tob S , K I + – – 1 (2.3)<br />

Gen I , Tob R , K I + + – 1 (2.3)<br />

Total 15 8 4 43<br />

Overall total 45 (45) 31 (31) 21 (21) 100 (100)<br />

genes. The aac(6′)/aph(2′′) gene was the most dominant<br />

gene as reported in Europe, Korea, Japan and Middle<br />

East countries (Schmitz et al., 1999; Hauschild et al.,<br />

2008; Choi et al., 2003; Nakaminami et al., 2008; Ardic et<br />

al., 2006; Fatholahzadeh et al., 2009) and in MSSA<br />

isolates in Korea (Choi et al., 2003). Detection of this<br />

gene in both MRSA and MSSA isolates in Jordan (Tables<br />

3 and 4) could be explained by the fact that it exists as a<br />

transposable genetic element (Tn4001) which is carried<br />

on different types of plasmids (Byrne et al., 1990; Udou,<br />

2004). The presumed horizontal transfer of this gene<br />

among MRSA and MSSA isolates in Jordan mediates<br />

resistance to gentamicin, tobramycin and kanamycin<br />

(Tables 3 and 4).<br />

The second prevalent AME gene was ant(4',4") and it<br />

was detected in 31% of S. aureus isolates (Tables 3 and<br />

4). Similarly, it was the second dominant gene detected<br />

in 26.7 to 48% of S. aureus isolates in Europe and Korea<br />

(Choi et al., 2003; Schmitz et al., 1999; Hauschild et al.,<br />

Bdour 5263<br />

2008). In contrast, this gene was the least frequent AME<br />

gene (26%) among the Iranian MRSA isolates<br />

(Fatholahzadeh et al., 2009) and the most prevalent gene<br />

(84.5%) in MRSA isolated in Japan (Ida et al., 2001). In<br />

the present study, the prevalence of this gene in MRSA<br />

(40.3%) was 2 folds that in MSSA (18.6%) isolates<br />

(Tables 3) which is presumed to be due to the integration<br />

of pUB110 containing the ant (4', 4") gene in the mec<br />

element downstream of mecA gene (Ito et al., 1999;<br />

Chambers, 1997). However, mec elements lacking this<br />

plasmid have been described (Oliveira et al., 2000) which<br />

could explain the absence of this gene in our remaining<br />

tobramycin and kanamycin-resistant MRSA isolates and<br />

all MRSA isolates in Turkey (Ardic et al., 2006). In<br />

Jordan, the concordance between tobramycin and<br />

kanamycin resistance and the presence of this gene in<br />

MRSA isolates and in MSSA isolates (Table 3) was<br />

higher than that in the Korean isolates (45%) (Choi et al.<br />

2003) and lower than that in the Polish isolates (100%),


5264 Afr. J. Microbiol. Res.<br />

(Hauschild et al., 2008).<br />

The third prevalent AME gene was the aph(3')III gene.<br />

Detection of this gene among MRSA and MSSA isolates<br />

could be due to its existence on a transposable genetic<br />

element (Tn5405) (Derbise et al., 1996) which can be<br />

disseminated among the isolates. This gene was also the<br />

third frequently encountered AME gene in MRSA and<br />

MSSA isolates of Korea (Choi et al., 2003), Japan (Ida et<br />

al., 2001) and European countries (Schmitz et al., 1999;<br />

Hauschild et al., 2008). In contrast, this gene was the<br />

second prevalent AME gene in Iranian MRSA (71%)<br />

isolates (Fatholahzadeh et al., 2009), while all Turkish<br />

MRSA isolates were negative for this gene (Ardic et al.,<br />

2006). The concordance between kanamycin resistance<br />

(K R ) and the presence of this gene was 51.6% in K R -<br />

MRSA and 30.7% in K R -MSSA isolates (Table 3)<br />

compared to 45% in the Korean (Choi et al., 2003) and<br />

100% in the Iranian MRSA (Fatholahzadeh et al., 2009)<br />

isolates.<br />

A total of 41% of the S. aureus isolates carried the<br />

aac(6′)/aph(2′′) gene in combination with either ant(4',4")<br />

and/or aph(3′)III or carried ant(4',4") in combination with<br />

aph(3′)III only (Table 4). In Korea, 50% of the S. aureus<br />

isolates carried the aac(6′)/aph(2′′) gene in combination<br />

with either ant(4',4") and/or aph(3′)III (Choi et al., 2003).<br />

In the present study, the most frequent combination of<br />

genes was aac(6′)/aph(2′′) with ant(4', 4") (Table 4) which<br />

is similar to that detected in Korea (Choi et al., 2003).<br />

The coexistence of these genes could be due to the fact<br />

that the ant(4', 4") gene is also carried next to the<br />

aac(6')/aph(2") gene on some plasmids (Byrne et al.,<br />

1990). The second dominant AME gene combination was<br />

aac(6')/aph(2") with aph(3')III (Table 4) which could be<br />

due to harboring the transposons Tn4001 (Byrne et al.,<br />

1990) and Tn5405 (Debrise et al., 1996). The ant(4',4")<br />

and aph(3′)III combination coexisted only in 4/57 (7%)<br />

MRSA which could harbor the integrated copy of pUB110<br />

carrying ant(4',4") (Ito et al., 1999; Chambers, 1997) and<br />

Tn405 carrying aph(3′)III (Debrise et al., 1996). The 3<br />

genes coexisted only in 3/57 (5.3%) MRSA and in 1/43<br />

(2.3%) MSSA isolates which were highly resistant to the<br />

3 tested aminoglycosides.<br />

There is a concordance between the AME gene<br />

combinations and the phenotypic multi-resistance of S.<br />

aureus isolates to 2 and 3 aminoglycosides (Tables 2 and<br />

4). Multi-resistance to three aminoglycosides (Gen R ,<br />

Tob R , K R ) was observed in 26/57 (45.6%) MRSA and in<br />

13/43 (30.2%) MSSA isolates (Table 2) with four<br />

heterogenous AME gene profiles (i to iv) (Table 4). In<br />

these profiles, the aac(6')/aph(2") and ant(4',4") gene<br />

combination was predominant followed by aac(6')/aph(2")<br />

and aph(3')III combination. In contrast, the aac(6')/aph(2")<br />

and aph(3')III combination was dominant over the<br />

aac(6')/aph(2") and ant(4',4") gene combination in Iran<br />

(Fatholahzadeh et al., 2009). However, multi-resistance<br />

to two aminoglycosides was detected only in 7/57<br />

(12.3%) MRSA isolates (Tables 2 and 4) harboring the<br />

aac(6')/aph(2") gene only, the aph(3')III and ant(4',4")<br />

combination, and the aac(6")/aph(2") and aph(3')III<br />

combination.<br />

Four (7%) MRSA and two (4.6%) MSSA isolates<br />

demonstrated resistance to one of the aminoglycosides<br />

tested and most harbored the ant(4', 4") gene (Table 4).<br />

The finding of at least one AME gene is important in<br />

terms of showing the possibility of spreading of other<br />

AME genes to the aminoglycoside sensitive MRSA (35%)<br />

and MSSA (65%) isolates (Table 4). The speed of<br />

resistance development in these isolates could be linked<br />

to the absence of national antimicrobial use guidelines<br />

and regulations which control the community use of<br />

antibacterial drugs in Jordan. These drugs are dispensed<br />

with and without a prescription, either via self-medication<br />

or pharmacist recommendation (Al-Bakri et al., 2005).<br />

In conclusion, a high prevalence (52%) of aminoglycoside<br />

resistance was determined in the clinical S.<br />

aureus due to the presence of 1 to 3 AME genes.<br />

Emerging of MRSA isolates with heterogenous AME<br />

gene profiles, especially those which harbor the 3 types<br />

of AME genes, must not be ignored because it limits the<br />

choices in the number of aminoglycosides available to<br />

clinicians to treat staphylococcal infections in risk patients<br />

with either a β-lactam or a glycopeptide. Irrational use of<br />

antibiotics is likely behind the selection of these isolates<br />

in Jordan. There is a need to force regulations to control<br />

the use of antibiotics which could lead to parallel changes<br />

in resistance patterns and may favor the emergence of<br />

aminoglycosides susceptible-MRSA strains as reported in<br />

other countries (Mangeney et al., 2002). Therefore,<br />

periodic surveillance of aminoglycoside resistance and of<br />

the corresponding genes is recommended.<br />

ACKNOWLEDGEMENTS<br />

We gratefully thank Mr Ahmed Abu-Mizer and Mr Ahmed<br />

Abu-Jafal for their technical assistance. The research<br />

was made possible by a grant from the Deanship of<br />

Scientific <strong>Research</strong>, University of Jordan.<br />

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African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5266-5275, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.968<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Evaluating the effect of acetic acid, furfural and<br />

catechol on the growth and lipid accumulation of<br />

Trichosporon fermentans by response surface<br />

methodology<br />

Chao Huang 1, 3 , Peng Wen 1 , Hong Wu 1 *, Wen-yong Lou 2 and Min-hua Zong 2 *<br />

1 Laboratory of Applied Biocatalysis, College of Light Industry and Food Sciences, South China University of Technology,<br />

Guangzhou 510640, China.<br />

2 State Key Laboratory of Pulp and Paper Engineering, College of Light Industry and Food Sciences, South China<br />

University of Technology, Guangzhou 510640, China.<br />

3 Key Laboratory of Renewable Energy and Gas Hydrate, Guangzhou Institute of Energy Conversion, Chinese Academy<br />

of Sciences, Guangzhou 510640, China.<br />

Accepted 31 May, 2012<br />

The effect of combination of acetic acid, furfural and catechol on the growth and lipid accumulation of<br />

oleaginous yeast Trichosporon fermentans was systematically studied by response surface<br />

methodology (RSM). A 5-level 3-factor central composite design (CCD) was used to build the statistical<br />

model. The results measured by RSM showed that each inhibitor exhibited significant negative effect on<br />

the biomass, lipid content, lipid yield, and sugar consumption of T. fermentans. However, for the binary<br />

and ternary combinations of these compounds, only the binary combination of acetic acid and catechol<br />

showed significant effect, indicating there are no synergistic effects for these inhibitors in most cases.<br />

This work offers a simple way to evaluate the complex effect of various inhibitors on the growth and<br />

lipid accumulation of oleaginous microorganisms.<br />

Key words: Central composite design, Trichosporon fermentans, acetic acid, furfural, catechol.<br />

INTRODUCTION<br />

For a long time, microbial oils, namely single cell oils<br />

(SCOs), were used as medically important polyunsaturated<br />

fatty acids like γ-linolenic acid, or substitutes<br />

of lipid with rare fatty acid composition or structure such<br />

as cocoa-butter (Papanikolaou et al., 2003). Recently,<br />

they were also proved to be a promising feedstock for<br />

biodiesel production due to their similarity in fatty acid<br />

composition to that of vegetable oils (Li et al., 2008).<br />

Unfortunately, the high cost of fermentation substrate<br />

limits their practical application. Using inexpensive media,<br />

such as agro-industrial residues, especially lignocellulosic<br />

materials like rice straw, wheat straw, corncob, rice hull<br />

*Corresponding author. E-mail: bbhwu@scut.edu.cn.<br />

btmhzong@scut.edu.cn. Tel: +86-20-87111452. Fax: +86-20-<br />

22236669.<br />

and etc., for lipid fermentation is one of the possible<br />

resolutions to this problem (Chen et al., 2012; Economou<br />

et al., 2011; Huang et al., 2009; Huang et al., 2012; Yu et<br />

al., 2011). However, during the dilute acid-treatment of<br />

lignocellulosic biomass, various inhibitory by-products<br />

such as organic acids, aldehydes and alcohols were<br />

generated (Palmqvist and Hahn-Hagerdal, 2000). All<br />

these compounds might cause negative effects on<br />

growth, metabolism, as well as product formation of<br />

microorganism cells during fermentation (Almeida et al.,<br />

2007).<br />

In order to use lignocellulosic hydrolysates efficiently as<br />

substrate for lipid fermentation, it is critical to have an<br />

overall knowledge on the inhibitory effect of these<br />

compounds present in it on the growth and lipid<br />

accumulation of oleaginous microorganisms. The effects<br />

of individual inhibitor and binary combination of inhibitors<br />

on the growth and lipid accumulation of different


oleaginous microorganisms have been studied by many<br />

works (Chen et al., 2009; Hu et al., 2009; Huang et al.,<br />

2011; Huang et al., 2012; Zhang et al., 2011). However,<br />

the lignocellulosic hydrolysates generally contain more<br />

than one inhibitor and the synergistic effect of different<br />

inhibitors was complex (Duarte et al., 2005; Oliva et al.,<br />

2006; Sampaio et al., 2007). To date, little work has<br />

focused on the combined effect of several inhibitors on<br />

oleaginous microorganisms.<br />

Response surface methodology (RSM) is a collection of<br />

certain statistical techniques for designing experiments,<br />

building models, evaluating the effect of the factors and<br />

searching for optimal conditions for desirable responses<br />

(Myers et al., 2009).<br />

Acetic acid, furfural, and catechol are three typical<br />

inhibitors which represent organic acid, aldehyde and<br />

alcohol, the three kinds of inhibitors present in dilute acidtreated<br />

lignocellulosic hydrolysates, respectively (Oliva et<br />

al., 2006). Oleaginous yeast Trichosporon fermentans<br />

has been shown to be a potential strain for microbial oil<br />

production on lignocellulosic hydrolysates (Huang et al.,<br />

2009). In this work, the effect of combination of acetic<br />

acid, furfural, and catechol on the growth and lipid<br />

accumulation of T. fermentans were systematically<br />

investigated by RSM.<br />

MATERIALS AND METHODS<br />

Microorganism and chemicals<br />

The oleaginous yeast T. fermentans CICC 1368 was obtained from<br />

the China Center of Industrial Culture Collection and kept on wort<br />

agar at 4°C. Furfural was purchased from Sigma (USA). Catechol<br />

was purchased from Alfa Aesar (UK). Acetic acid and other<br />

chemical compounds were from commercial source and were of the<br />

highest purity available.<br />

Medium, precultivation and cultivation<br />

The precultivation medium (pH 6.0) contained glucose and xylose<br />

(ratio 2:1) 20 g/l, peptone 10 g/l, yeast extract 10 g/l. And the<br />

fermentation medium (pH 6.5) contained glucose and xylose (ratio<br />

2:1) 100 g/l, peptone 1.8 g/l, yeast extract 0.5 g/l, MgSO4·7H2O 0.4<br />

g/l, KH2PO4 2.0 g/l, MnSO4·H2O 0.003 g/l, CuSO4·5H2O 0.0001 g/l.<br />

The preculture was performed in a 250 ml conical flask<br />

containing 50 ml precultivation medium at 28°C for 24 h in a rotary<br />

shaker (160 rpm). Seed culture (2.5 ml) was then inoculated to a<br />

250 ml conical flask containing 47.5 ml fermentation medium and<br />

the cultivation was carried out at 25°C for 7 days in a rotary shaker<br />

(160 rpm).<br />

Effects of inhibitors on growth and lipid accumulation<br />

Seed culture (2.5 ml) prepared on the precultivation medium as<br />

described above, was inoculated into 47.5 ml of fermentation<br />

medium containing the selected inhibitors. Without adding the<br />

tested inhibitor, the biomass, lipid content, lipid yield, and sugar<br />

consumption of T. fermentans after 7 days’ fermentation were 24.0<br />

g/l, 61.7%, 14.8 g/l and 84.3 g/l, respectively. All reported data were<br />

averages of experiments performed at least in triplicate.<br />

Experimental design and statistical analysis<br />

Huang et al. 5267<br />

A 5-level 3-factor central composite design (CCD) was adopted to<br />

evaluate the effects of acetic acid (X1), furfural (X2), and catechol<br />

(X3) on the growth and lipid accumulation of T. fermentans on a<br />

fermentation medium mentioned above and then a model was<br />

developed. The highest concentration of these three compounds<br />

was about 2-fold greater than the highest concentration that they<br />

could be in the common lignocellulosic hydrolysates (Almeida et al.,<br />

2007). In this study, the experimental plan contained 20 trials and<br />

the independent variables were studied at five different levels,<br />

whose values were shown in Table 1.<br />

The fermentation performance was evaluated by using the<br />

following fermentation parameters (response Y): biomass (g/l), lipid<br />

content (%), lipid yield (g/l), and sugar consumption (g/l). The<br />

experimental design used in this work was shown in Table 1. The<br />

response variable was fitted by a second-order model in order to<br />

correlate the response variables to the independent variables. The<br />

second order polynomial coefficients were calculated and analyzed<br />

using the “Design Expert” software (Version 7.0, Stat-Ease Inc.,<br />

Minneapolis, USA). The general form of the second-degree<br />

polynomial equation is:<br />

Y = b+ b1X1 + b2X2 + b3X3 + b12X1X2 + b13X1X3 + b23X2X3 + b11X1 2 +<br />

b22X2 2 + b33X3 2 + b123X1X2X3 + e (1)<br />

where Y is the predicted response (biomass, lipid content, lipid<br />

yield, and sugar consumption); b stands for offset term; X1, X2 and<br />

X3 represent the concentrations (g/l) of factors 1, 2, and 3,<br />

respectively; b1, b2, and b3 are the coefficients of linear effects; b11,<br />

b22 and b33 refer to the coefficients for the quadratic effects; b12, b13<br />

and b23 are the coefficients for the interactions of factors 1 and 2, 1<br />

and 3, and 2 and 3, respectively; and b123 is the coefficient for the<br />

interaction of factors 1, 2 and 3.<br />

Statistical analysis of the model was performed to evaluate the<br />

analysis of variance (ANOVA). This analysis included Fisher’s Ftest<br />

(overall model significance), it’s associated probability p(F),<br />

correlation coefficient R, determination coefficient R 2 , which<br />

measures the goodness of fit of regression model. For each<br />

variable, the quadratic models were represented as contour plots<br />

(3D) and response surface curves were generated using the Design<br />

Expert software.<br />

Analytical methods<br />

Biomass was harvested by centrifugation and its weight was<br />

determined in its lyophilized form. Lipid was extracted with a<br />

mixture of chloroform: methanol (2:1, v/v) for 1 h. The extracted lipid<br />

was centrifuged to obtain a clear supernatant and the solvent was<br />

removed by evaporation under vacuum at 55°C and 100 rpm (NE-<br />

Series rotary evaporator EYELA, Japan). Lipid yield is expressed<br />

as the amount of lipid extracted from the cells in per liter<br />

fermentation broth (g/l) and lipid content is defined as the<br />

percentage of lipid to dry biomass (%, w/w).<br />

Sugars were measured by High-performance liquid chromatography<br />

(HPLC) (Waters Corp., USA) with a RI detector (Waters<br />

2410) and an Aminex HPX-87P column (300 × 7.8 mm, Bio Rad<br />

Corp., USA) at 85°C. Deionized water was used as the mobile<br />

phase at 0.5 mL/min.<br />

RESULTS AND DISCUSSION<br />

After lipid fermentation, the actual values and the<br />

predicted values of responses were summarized in Table<br />

2. As shown in Table 2, the values for biomass (g/l), lipid


5268 Afr. J. Microbiol. Res.<br />

Table 1. Central composite design arrangement.<br />

Design point<br />

Code independent variable level Factors’ concentration<br />

A B C Acetic acid (g/l) Furfural (g/l) Catechol (g/l)<br />

1 -1 -1 -1 2 0.2 0.16<br />

2 1 -1 -1 8 0.2 0.16<br />

3 -1 1 -1 2 0.8 0.16<br />

4 1 1 -1 8 0.8 0.16<br />

5 -1 -1 1 2 0.2 0.64<br />

6 1 -1 1 8 0.2 0.64<br />

7 -1 1 1 2 0.8 0.64<br />

8 1 1 1 8 0.8 0.64<br />

9 -1.682 0 0 0 0.5 0.4<br />

10 1.682 0 0 10 0.5 0.4<br />

11 0 -1.682 0 5 0 0.4<br />

12 0 1.682 0 5 1 0.4<br />

13 0 0 -1.682 5 0.5 0<br />

14 0 0 1.682 5 0.5 0.8<br />

15 0 0 0 5 0.5 0.4<br />

16 0 0 0 5 0.5 0.4<br />

17 0 0 0 5 0.5 0.4<br />

18 0 0 0 5 0.5 0.4<br />

19 0 0 0 5 0.5 0.4<br />

20 0 0 0 5 0.5 0.4<br />

21 (Control) -1.682 -1.682 -1.682 0 0 0<br />

content (%, w/w), lipid yield (g/l), and sugar consumption<br />

(g/l), obtained in the fermentation experiments, varied<br />

with different concentrations of inhibitors. The coefficients<br />

of Equation 1 were calculated using regression analysis<br />

from the experimental results shown in Table 2. The<br />

values of R 2 for biomass, lipid content, lipid yield, and<br />

sugar consumption were 0.9904, 0.9633, 0.9826 and<br />

0.9843, respectively, showing a good model fit.<br />

Effect of combination of acetic acid, furfural and<br />

catechol on the biomass of T. fermentans<br />

The effect of combination of acetic acid, furfural and<br />

catechol on the biomass of T. fermentans was shown in<br />

Table 3. Base on these data, the resulting equation,<br />

which predicts the biomass in the linear regression model<br />

(1), is expressed as follows:<br />

Biomass=11.40-3.72*A-3.90*B-2.72*C-0.34*A*B+2.28*A*<br />

C-0.45*B*C-0.52*A 2 -1.75*B 2 -0.45*C 2 +0.37*A*B*C (2)<br />

As can be seen in Table 3, each inhibitor showed great<br />

negative effect on the biomass of T. fermentans. The<br />

inhibitory effect of acetic acid, furfural, and catechol on<br />

the growth of different microorganisms has been well<br />

known in many works (Palmqvist and Hahn-Hagerdal,<br />

2000) and the results in Table 3 further supported this.<br />

Interestingly, the effect of individual inhibitor on the<br />

growth of T. fermentans was more significant than the<br />

effect of binary or ternary combination of these compounds,<br />

indicating that no obvious synergistic inhibitory<br />

effect existed for these inhibitors. This was in contrast<br />

with the phenomenon observed in ethanologenic yeasts<br />

that the compounds mentioned above usually have<br />

strong synergetic effect on their growth (Palmqvist and<br />

Hahn-Hagerdal, 2000).<br />

It is worth noting that the binary interaction of furfural<br />

and other two compounds (AB and BC in Table 3) did not<br />

show statistically significant effects despite that the<br />

coefficients of AB and BC were negative. This means that<br />

the simultaneous presence of furfural and acetic acid or<br />

catechol in the lignocellulosic hydrolysates might affect<br />

little on the growth of T. fermentans. Surprisingly, the<br />

binary combination of acetic acid and catechol exhibited<br />

certain stimulated effect on the growth of T. femrentans<br />

and the P value showed this effect was significant,<br />

suggesting the inhibition was relieved in the case of<br />

binary combination of these two compounds. Similarly,<br />

the effect of ternary combination of these three<br />

compounds on the biomass of T. fermentans was<br />

positive, indicating no synergistic inhibitory effect was<br />

occurred. The three-dimensional response surface plots<br />

are shown in Figure 1. Despite that the P-value of AC<br />

was less than 0.0001, the relative flat surface and parallel<br />

contour lines reflected that the binary interaction among


Table 2. Actual and predicted value of different responses.<br />

Run<br />

Huang et al. 5269<br />

Biomass (g/l) Lipid content (%) Lipid yield (g/l) Sugar consumption (g/l)<br />

Actual Predicted Actual Predicted Actual Predicted Actual Predicted<br />

1 19.1 20.2 51.9 65.2 9.9 11.2 65.6 68.2<br />

2 9.4 9.5 42.0 40.1 3.9 3.9 30.3 32.7<br />

3 14.6 14.7 44.6 45.9 6.5 7.0 46.3 48.8<br />

4 0.4 1.2 2.7 5.7 0.01 0.5 9.1 11.4<br />

5 12.7 11.8 39.9 38.9 5.1 4.8 41.8 43.0<br />

6 9.1 8.8 37.4 38.2 3.4 3.1 26.0 27.0<br />

7 3.3 3.0 9.0 13.0 0.3 0.5 21.1 22.3<br />

8 0.2 0.2 1.5 3.0 0.003 -0.2 6.5 7.5<br />

9 15.7 16.2 52.1 48.5 8.2 7.7 63.2 60.4<br />

10 3.9 3.7 16.3 16.8 0.6 0.9 19.4 17.1<br />

11 12.5 13.0 46.7 47.1 5.8 6.0 42.7 40.1<br />

12 0.2 -0.1 2.2 -1.1 0.004 -0.4 8.5 6.1<br />

13 15.4 14.7 57.0 54.7 8.6 7.8 54.2 50.1<br />

14 4.6 5.6 28.6 28.0 1.3 1.8 25.3 24.4<br />

15 11.8 11.4 49.8 48.8 5.9 5.7 41.3 39.6<br />

16 11.4 11.4 49.5 48.8 5.7 5.7 38.3 39.6<br />

17 10.6 11.4 48.8 48.8 5.2 5.7 35.7 39.6<br />

18 11.6 11.4 48.9 48.8 5.7 5.7 37.0 39.6<br />

19 12.7 11.4 51.8 48.8 6.6 5.7 44.1 39.6<br />

20 11.1 11.4 51.8 48.8 5.8 5.7 40.3 39.6<br />

21 24.0 23.6 61.7 57.2 14.8 14.5 84.3 84.3<br />

Table 3. Analysis of variance (ANOVA) for the quadratic model of biomass.<br />

Source<br />

Sum of<br />

Squares<br />

DF<br />

Source<br />

Source<br />

F-Value P-value<br />

Coefficient<br />

estimate<br />

Model 772.88 10 77.29 110.02 < 0.0001 11.40<br />

A-Acetic acid 192.98 1 192.98 274.70 < 0.0001 -3.69<br />

B-Furfural 209.25 1 209.25 297.86 < 0.0001 -3.87<br />

C-Catechol 105.37 1 105.37 149.99 < 0.0001 -2.74<br />

AB 0.82 1 0.82 1.16 0.3063 -0.30<br />

AC 45.53 1 45.53 64.81 < 0.0001 2.22<br />

BC 2.30 1 2.30 3.28 0.1003 -0.50<br />

A2 4.04 1 4.04 5.75 0.0375 -0.51<br />

B2 46.00 1 46.00 65.48 < 0.0001 -1.74<br />

C2 2.98 1 2.98 4.24 0.0666 -0.44<br />

ABC 1.28 1 1.28 1.82 0.2067 0.33<br />

Residual 7.03 10 0.70<br />

Lack of Fit 4.51 5 0.90 1.80 0.2682<br />

Pure Error 2.51 5 0.50<br />

Total 779.90 20<br />

R 2 =0.9904; Adj. R 2 =0.9808.<br />

the inhibitory compounds showed little synergetic effect<br />

on the growth of T. fermentans and thus might be<br />

beneficial for its lipid production on lignocellulosic<br />

hydrolysates.<br />

Effect of combination of acetic acid, furfural and<br />

catechol on the lipid accumulation of T. fermentans<br />

Besides the effect on the growth, inhibitors could also


5270 Afr. J. Microbiol. Res.<br />

Figure 1. Response surface plots showing binary interaction of different variables on the biomass of T. fermentans. Huang<br />

et al. (2012).<br />

affect the lipid accumulation of oleaginous yeasts (Hu et<br />

al., 2009; Huang et al., 2011). Similar to the effect of<br />

combination of acetic acid, furfural and catechol on the<br />

biomass, the effect of individual inhibitor on the lipid<br />

content of T. fermentans was also more significant than<br />

the binary or ternary combination of them (as depicted by<br />

their P-value in Table 4). Among these three inhibitors,<br />

furfural (with the highest F-value) showed the most<br />

significant effect on the lipid content of T. fermentans and<br />

the effect of catechol was the least (as indicated by its<br />

lowest F-value). Also, in the binary combination of the<br />

inhibitors, the interaction effect between acetic acid and<br />

catechol was significant (P-value


Table 4. Analysis of variance (ANOVA) for the quadratic model of lipid content.<br />

Source<br />

Sum of<br />

Squares<br />

DF Mean square F-Value P-value<br />

Huang et al. 5271<br />

Coefficient<br />

estimate<br />

Model 7322.35 10 732.24 26.25 < 0.0001<br />

A-Acetic acid 1257.13 1 1257.13 45.07 < 0.0001 -9.43<br />

B-Furfural 2877.17 1 2877.17 103.15 < 0.0001 -14.34<br />

C-Catechol 887.19 1 887.19 31.81 0.0002 -7.96<br />

AB 83.98 1 83.98 3.01 0.1134 -3.02<br />

AC 418.16 1 418.16 14.99 0.0031 6.74<br />

BC 7.90 1 7.90 0.28 0.6062 -0.93<br />

A2 499.69 1 499.69 17.91 0.0017 -5.71<br />

B2 1270.63 1 1270.63 45.55 < 0.0001 -9.13<br />

C2 106.61 1 106.61 3.82 0.0791 -2.65<br />

ABC 6.20 1 6.20 0.22 0.6476 0.72<br />

Residual 278.94 10 27.89<br />

Lack of Fit 269.58 5 53.92 28.80 0.0011<br />

Pure Error 9.36 5 1.87<br />

Total 7601.29 20<br />

R 2 =0.9633; Adj. R 2 =0.9266.<br />

biomass and lipid content, the effect of individual inhibitor<br />

was negative to the lipid yield of T. fermentans, and the<br />

effect was of high significant (P-value


5272 Afr. J. Microbiol. Res.<br />

Figure 2. Response surface plots showing binary interaction of different variables on the lipid content of T. fermentans.<br />

Huang et al. (2012).<br />

Table 5. Analysis of variance (ANOVA) for the quadratic model of lipid yield.<br />

Source<br />

Sum of<br />

Squares<br />

DF<br />

Mean<br />

square<br />

F-Value P-value<br />

Coefficient<br />

estimate<br />

Model 279.83 10 27.98 56.45 < 0.0001 5.72<br />

A-Acetic acid 58.02 1 58.02 117.03 < 0.0001 -2.03<br />

B-Furfural 49.92 1 49.92 100.69 < 0.0001 -1.89<br />

C-Catechol 44.46 1 44.46 89.68 < 0.0001 -1.78<br />

AB 0.48 1 0.48 0.96 0.3491 0.23<br />

AC 18.42 1 18.42 37.16 0.0001 1.41<br />

BC 0.00 1 0.00 0.00 0.9880 0.00<br />

A2 4.04 1 4.04 8.16 0.0171 -0.51<br />

B2 16.52 1 16.52 33.32 0.0002 -1.04<br />

C2 1.53 1 1.53 3.09 0.1091 -0.32<br />

ABC 0.02 1 0.02 0.04 0.8427 0.04<br />

Residual 4.96 10 0.50<br />

Lack of Fit 3.93 5 0.79 3.82 0.0838<br />

Pure Error 1.03 5 0.21<br />

Total 284.79 20<br />

R 2 = 0.9826; Adj. R 2 =0.9652.


Huang et al. 5273<br />

Figure 3. Response surface plots showing binary interaction of different variables on the lipid yield of T. fermentans. Huang et al.<br />

(2012).<br />

Table 6. Analysis of variance (ANOVA) for the quadratic model of sugar consumption.<br />

Source<br />

Sum of<br />

Squares<br />

DF<br />

Mean<br />

square<br />

F-Value P-value<br />

Coefficient<br />

estimate<br />

Model 7528.43 10 752.84 62.85 < 0.0001<br />

A-Acetic acid 2339.38 1 2339.38 195.29 < 0.0001 -12.86<br />

B-Furfural 1434.22 1 1434.22 119.73 < 0.0001 -10.12<br />

C-Catechol 820.01 1 820.01 68.45 < 0.0001 -7.65<br />

AB 0.06 1 0.06 0.00 0.9452 -0.08<br />

AC 250.91 1 250.91 20.95 0.0010 5.22<br />

BC 0.02 1 0.02 0.00 0.9703 0.04<br />

A2 1.42 1 1.42 0.12 0.7380 -0.30<br />

B2 519.26 1 519.26 43.35 < 0.0001 -5.84<br />

C2 10.64 1 10.64 0.89 0.3681 -0.84<br />

ABC 1.68 1 1.68 0.14 0.7156 0.37<br />

Residual 119.79 10 11.98<br />

Lack of Fit 72.64 5 14.53 1.54 0.3235<br />

Pure Error 47.16 5 9.43<br />

Total 7648.22 20<br />

R 2 = 0.9843; Adj. R 2 =0.9687.


5274 Afr. J. Microbiol. Res.<br />

Figure 4. Response surface plots showing binary interaction of different variables on the sugar consumption of T. fermentans.<br />

Huang et al. (2012).<br />

expressed as:<br />

Sugar consumption = 39.60-12.86* A -10.12 * B-7.65 * C-<br />

0.080 * A * B+5.22 * A * C+0.044 * B * C-0.30 * A 2 -<br />

5.84*B 2 -0.84* C 2 +0.37 * A * B * C (5)<br />

The three-dimensional response surface plots of<br />

responses were depicted in Figure 4. All these curves<br />

were similar to that in Figure 1. The flat response<br />

surfaces indicated the interaction effect among different<br />

inhibitors on the sugar consumption of T. fermentans was<br />

less significant than their individual effect.<br />

Conclusions<br />

The inhibitory laws of these inhibitors (acetic acid,<br />

furfural, and catechol) including their individual, binary,<br />

and ternary combinations on the biomass, lipid content,<br />

lipid yield and sugar consumption of T. fermentans are<br />

similar. There was little synergistic inhibition on the<br />

growth, lipid accumulation, and sugar metabolism of T.<br />

fermentans among these typical inhibitors. These results<br />

show that the complex effect of combination of many<br />

inhibitors on the growth and lipid accumulation of<br />

oleaginous microorganisms could be evaluated in a<br />

relatively simple way by RSM.<br />

ACKNOWLEDGEMENTS<br />

Authors acknowledge the National Natural Science<br />

Foundation of China (Grant Nos. 31071559 and<br />

21072065), the New Century Excellent Talents in<br />

University (Grant Nos. NCET-11-0161 and NCET-10-<br />

0367), the Open Project Program of the State Key<br />

Laboratory of Pulp and Paper Engineering, SCUT (Grant<br />

No. 201138), and the Fundamental <strong>Research</strong> Funds for


the Central Universities (Grant No. 2012ZP0009) for<br />

financial support.<br />

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Zhang G, French WT, Hernandez R, Alley E, Paraschivescu M (2011).<br />

Effects of furfural and acetic acid on growth and lipid production from<br />

glucose and xylose by Rhodotorula glutinis. Biomass Bioenergy, 35:<br />

734-740.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5276-5284, 28 June, 2012<br />

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

DOI: 10.5897/AJMR12.1229<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Full Length <strong>Research</strong> Paper<br />

Purification and characterization of Aspergillus niger<br />

α-L-rhamnosidase for the biotransformation of naringin<br />

to prunin<br />

Hui Ni 1,2,4 , An Feng Xiao 1,3 , Hui Nong Cai 1,3,4 *, Feng Chen 2 , Qi You 2 and Yun Zheng Lu 1<br />

1 College of Bioengineering, Jimei University, Fujian Province, People’s Republic of China.<br />

2 Department of Food, Nutrition and packaging Science, Clemson University, Clemson, SC 29634, USA.<br />

3 The <strong>Research</strong> Center of Food Biotechnology, Xiamen, Fujian 361021, China.<br />

4 <strong>Research</strong> Center of Food <strong>Microbiology</strong> and Enzyme Engineering Technology of Fujian Province, Fujian 361021, China.<br />

Accepted 30 April, 2012<br />

An α-L-rhamnosidase, which was extracted from the fermented broth of Aspergillus niger was purified,<br />

characterized and confirmed via biotransformation of naringin to prunin. After being purified to<br />

homogeneity by ammonium sulphate fractionation and chromatography on diethylaminoethanol (DEAE)<br />

Sepharose and Sephacryl S-200 HR columns, the enzyme was determined by the exclusive gel<br />

chromatography and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS–PAGE) to have a<br />

molecular weight of approximately 87 kDa. Its optimal pH and stable pH values were within the range of<br />

4.5 to 5 and 3.5 to 7.5, respectively while its optimal temperature was in 50 to 60°C. In addition, the<br />

enzyme was strongly inhibited by Fe 2+ , Fe 3+ , Zn 2+ , Al 3+ , Mn 2+ , Cu 2+ , Ag + , Hg 2+ ions and sodium dodecyl<br />

sulfate (SDS) and slightly activated by K + and Ba 2+ ions. Its Km towards naringin was 0.27 mM and the<br />

Vmax was 9805.15 U/mg. The enzyme could efficiently convert naringin to prunin with a transforming rate<br />

above 97%. These results indicate that the α-L-rhamnosidase separated from A. niger could be a<br />

promising candidate for its commercial application in food and pharmaceutical industries.<br />

Key words: Aspergillus niger, α-L-rhamnosidase, naringinase, naringin, pruning, transformation.<br />

INTRODUCTION<br />

Naringin (4′,5,7′-trihydroxyflavanone-7-rhamnoglucoside)<br />

and naringenin (4′,5,7′-trihydroxyflavanone) are two<br />

flavonoids, which possess strong anti-inflammatory,<br />

antiulcer, anticancer and antioxidative activities (Parmar,<br />

1983; Chen et al., 1990; Martin et al., 1994; Gordon et al.,<br />

1995; So et al., 1996; Heim et al., 2002; Calgarotto et al.,<br />

2007; Ekambaram et al., 2008). However, they also have<br />

some undesirable properties. For example, naringin has<br />

an intense bitter taste with a low bitter taste threshold of 20<br />

μg/ml (Ribeiro and Ribeiro, 2008). Naringenin hardly<br />

dissolve in water (Tommasini et al., 2004).<br />

Prunin (4′,5,7′-trihydroxyflavanone-7-β-D-glucoside) is a<br />

*Corresponding author. E-mail: nihui1973@yahoo.com.cn or<br />

chn@jmu.edu.cn. Tel: 86-592-6181764<br />

structure analogue of naringin and naringenin (Kaul et al.,<br />

1985; Choi et al., 1991a, b; Chang et al., 2011). It exhibits<br />

combined advantages of both naringin and naringenin,<br />

that is, strong bioactivity, good solubility and little bitter<br />

taste (Puri et al., 1996). However, prunin naturally exists in<br />

a low quantity. As a result, much effort has been tried to<br />

develop an efficient process to transform naringin to prunin,<br />

taking advantage of the naringin that is commercially<br />

available in a large quantity as a citrus byproduct. Fox et al.<br />

(1953) reported a procedure by acidic transformation of<br />

naringin to prunin, but it needed strict reaction conditions<br />

and complicated purification steps. In contrast, enzymatic<br />

method is more desirable due to its simpler process and<br />

lower production cost because the enzymatic reaction can<br />

be controlled under a milder and more environmentally<br />

friendly condition with high efficiency and high specificity.<br />

Although some studies (Roitner et al., 1984; Soria and


Figure 1. Mechanism of enzymatic conversion of naringin to pruning.<br />

Ellenrieder, 2002; Kaur et al., 2010) have demonstrated<br />

the possibility of preparing prunin by the enzymatic<br />

method, so far prunin has not been commercially<br />

produced due to the lack of industrial biocatalyst. The<br />

enzyme, α-L-rhamnosidase (E. C. 3.2.1.40) which cleaves<br />

the α-1, 2-glycosidic bond is responsible for the<br />

biotransformation of naringin to prunin (Figure 1) (Yadav et<br />

al., 2010). It has been reported that α-L-rhamnosidase<br />

usually joins together with β-D-glucosidase to form<br />

naringinase (Figure 1) (Yadav et al., 2010). Naringinase<br />

and α-L-rhamnosidase has been reported from some<br />

microorganisms (Yoshikazu et al., 1973; Manzanares et<br />

al., 1997; Spagna et al., 2000; Yadav et al., 2010; Puri,<br />

2011), among which Aspergillus niger is considered the<br />

most potential and promising resource for industrial<br />

practice because this fungus not only has been listed in<br />

the Food and Drug Administration (FDA’S) approved<br />

microbial category and proven safe for food and medicinal<br />

use, also is able to be induced to efficiently produce some<br />

food-grade enzymes (Pel et al., 2007), including the<br />

naringinase and the α-L-rhamnosidase. Moreover, the<br />

fermentation process is easy to be scaled up because its<br />

technology is pretty mature and has been widely used in<br />

industry (Pel et al., 2007).<br />

Studies have concerned in the purification of<br />

α-L-rhamnosidase from Aspergillus niger and other<br />

microorganisms (Yadav et al., 2010; Chang et al., 2011;<br />

Puri, 2011; Ribeiro, 2011), but α-L-rhamnosidase has<br />

been seldom investigated in the preparation of prunin.<br />

Recently, a new strain DB056 of A. niger that could<br />

produce a high yield of naringinase (complex of<br />

α-L-rhamnosidase and β-D-glucosidase) has been<br />

screened, along with a successful optimized scale-up<br />

process for naringinase production in a 200 L fermentor<br />

(data not shown) in our laboratory in Jimei University,<br />

China. Therefore, it presented a commercially available<br />

source of α-L-rhamnosidase. In this context, it is valuable<br />

to purify and characterize the α-L-rhamnosidase for the<br />

enzymatic preparation of prunin. The<br />

p-nitrophenyl-α-L-rhamnopyranoside (pNPR) method<br />

(Romero et al., 1985) is commonly used to monitor the<br />

Ni et al. 5277<br />

activity of α-L-rhamnosidase. However, it could not<br />

monitor the biotransformation of prunin. In the present<br />

study, the α-L-rhamnosidase was purified and<br />

characterized to transform the prunin by using a high<br />

performance liquid chromatography (HPLC) method<br />

enabled to simultaneously differentiate naringin, prunin<br />

and naringenin instead of the pNPR method.<br />

MATERIALS AND METHODS<br />

Reagent and chemical<br />

Diethylaminoethanol (DEAE)-Sepharose, Sephacryl S-200 HR,<br />

acrylamide and sodium dodecyl sulfate (SDS) were purchased from<br />

Amersham Biosciences (Uppsala, Sweden). Protein markers for<br />

sodium dodecyl sulfate polyacrylamide gel electrophoresis<br />

(SDS–PAGE) were from Fermentas VAB (Vilnius, Lithuania).<br />

Naringin, prunin, naringenin, ethylene diamine tetraacetic acid<br />

(EDTA), dithiothreitol (DTT), pNPR, bovine serum albumin,<br />

Coomassie brilliant blue, ammonium persulfate and substrates were<br />

purchased from Sigma (St. Louis, MO). Methanol, acetonitrile were<br />

HPLC grade and purchased from Tedia Company Inc. (Fairfield,<br />

Ohio, USA). All other reagents were of analytical grade.<br />

Cultivation of A. niger for producing naringinase<br />

The strain A. niger DB056 was inoculated onto slant media in<br />

composition (g/L) of MgSO4·7H2O 1.0, KH2PO4 1.0, (NH4)2SO4 1.5,<br />

KCl 0.5, KNO3 1.5, CaCl2 0.1, yeast extract 2.0, naringin 2.5 and agar<br />

20. The spores were grown at pH 6.0 and 28°C for 3 days before they<br />

were washed and adjusted to make spore suspension to OD600 0.2.<br />

Then they were inoculated into a NBS Bioflo-110 7 L fermentor which<br />

contained 5 L of fermental media accordingi to Puri and Kalra (2005)<br />

with minor modification. The medium composition was (g/L): naringin<br />

10, MgSO4·7H2O 0.5, KH2PO4 1.5, (NH4)2SO4 4.0, ZnSO4·7H2O 0.09,<br />

CaCl2 0.1, yeast extract 1.0, soybean powder 2.0 and peptone 2.0.<br />

The strain was cultured at 28°C, pH 6.0, in 300 rpm for 7 days for<br />

yielding enough amount of naringinase. The broth was centrifuged at<br />

4500 rpm for 15 min to remove the cells and collect the supernatant.<br />

Determination of enzymatic activity of α-L-rhamnosidase<br />

A HPLC method which was developed based on the principle of<br />

Yadav et al. (2010) was applied to simultaneously determine naringin


5278 Afr. J. Microbiol. Res.<br />

prunin and naringenin so that the α-L-rhamnosidase activity could be<br />

determined. Detailed procedure is described as follows; Two<br />

milliliters of 300 μg/mL naringin solution was mixed with 1.9 ml of 10<br />

mM citric acid buffer (pH 5.0) and warmed up in a 40°C water bath for<br />

5 min. Then, the reaction was immediately initiated by adding 100 µl<br />

of properly diluted enzyme solution and incubated at 40°C for 15 min.<br />

The reaction solution was heated to 100°C to denature the enzyme.<br />

The mixture was then filtered through 0.22 µm membranes prior to<br />

the HPLC analysis. A Waters 1525 HPLC instrument equipped with a<br />

2487 UV detector and a Symmetry C18 reversed-phase column (4.6<br />

×1 50 mm, 3.5 μm) was controlled by the Breeze Chromatographic<br />

software. The mobile phase was composed of 11.4% methanol, 26.6%<br />

acetonitrile and 62% purified deionized water, with an isocratic<br />

elution flow at 0.4 ml/min. Sample injection was in a volume of 20 µl.<br />

The column temperature was at 35°C, the detective wavelength was<br />

at 280 nm and the running time was 28 min under an isocratic elution<br />

procedure. One unit of α-L-rhamnosidase was defined as the<br />

enzyme degraded 1 μg naringin within 1 min.<br />

Determination of protein concentration<br />

For the purification, the protein was estimated by measuring the<br />

absorbance at 280 nm. While for the characterization, the protein<br />

was analyzed by the method of Bradford (1976) using bovine serum<br />

albumin (BSA) as standard.<br />

Purification of α-L-rhamnosidase<br />

The broth was centrifuged at 4°C, 10,000 g for 30 min in a centrifuge<br />

(Avanti J-25, Beckman Coulter, USA). The supernatant was<br />

fractionated with ammonium sulphate from 50 to 80% concentration.<br />

The resulting pellet was dissolved in a minimum volume of 10 mM<br />

sodium citrate buffer (pH 5.5) containing 5 mM DTT and dialyzed<br />

against the same buffer extensively. The dialysate was subsequently<br />

applied to a DEAE-Sepharose Fast Flow column (2.5 × 16 cm),<br />

which was previously equilibrated with the dialysis buffer.<br />

Unabsorbed fractions were removed by washing the column with the<br />

dialysis buffer 5 times of volume of the column. Then, binding<br />

proteins were eluted with a linear gradient of NaCl from 0 to 0.5 M in<br />

a total volume of 420 ml.<br />

Fractions were collected in 3 ml/tube for analyses of the<br />

α-L-rhamnosidase activity and content of the protein. Those fractions<br />

showing the α-L-rhamnosidase activity (that is, displaying the ability<br />

to degrade naringin to prunin) were pooled together and dialyzed<br />

against 10 mM sodium citrate buffer (pH 5.5) containing 5 mM DTT.<br />

The pooled fractions from the DEAE-Sepharose Fast Flow column<br />

were concentrated by ultra filtration using a YM-30 membrane<br />

(Millipore, MA, USA) and applied to a Sephacryl S-200 HR<br />

gel-filtration column (1.5 × 98 cm) equilibrated and washed with 20<br />

mM citric acid buffer (pH 5.5) containing 0.15 M NaCl and 5 mM DTT<br />

at 0.5 ml/min. The fractions were collected in 2 ml/tube for analyses<br />

of the α-L-rhamnosidase activity and the concentration of protein.<br />

The eluted active fractions were pooled for enzyme characterization.<br />

SDS–PAGE electrophoresis and molecular weight measuring<br />

Molecular weight (MW) of the α-L-rhamnosidase was determined<br />

both by gel filtration chromatography (GFC) and SDS–PAGE. GFC<br />

was performed on the same Sephacryl S-200 HR column as<br />

aforementioned, while the SDS–PAGE was carried out in a<br />

Mini-protean III dual-slab cell electrophoresis according to the<br />

method of Laemmli (1970), using a 10% gel. The proteins were<br />

stained with the Coomassie brilliant blue R-250.<br />

Effects of pH and temperature<br />

Enzymatic activities of the purified α-L-rhamnosidase over the pH<br />

range of 3.0 to 8.5 were determined at the temperature of 40°C for 15<br />

min using 50 mM of the following buffers: sodium citrate buffer (pH<br />

3.0 to 5.5), sodium phosphate buffer (pH 6.0 to 7.0) and Tris–HCl<br />

buffer (pH 7.5 to 8.5). For temperature profile study, the activities<br />

were assayed at a temperature range between 20 and 65°C for 15<br />

min at pH 5.0 using the 50 mM sodium citrate buffer.<br />

pH and thermal stability<br />

Effect of pH on stability of the purified α-L-rhamnosidase was<br />

evaluated by measuring the residual enzymatic activity after<br />

incubation under various pH values at 4°C for 24 h. The pH values<br />

(3.0 to 8.5) were kept by 50 mM sodium citrate buffer of pH 3.0 to 5.5,<br />

sodium phosphate buffer of pH 6.0 to 7.0 and Tris–HCl buffer of pH<br />

7.5 to 8.5. To investigate the thermal stability, the purified<br />

α-L-rhamnosidase dissolved in 50 mM sodium citrate buffer (pH 5.0)<br />

was incubated at different temperatures from 4 to 60°C and sampled<br />

in different intervals depending on the temperature. Then the<br />

samples were immediately cooled in ice water before the residual<br />

activity was determined.<br />

Effects of metal ions and reagents<br />

The purified α-L-rhamnosidase were incubated with Fe 2+ , Fe 3+ , Zn 2+ ,<br />

Ca 2+ , K + , Al 3+ , Mg 2+ , Ba 2+ , Mn 2+ , Cu 2+ , Na + , Ag + , Hg 2+ , EDTA-Na2,<br />

DTT, SDS, urea, dimethylsulfoxide (DMSO), mercaptoethanol,<br />

glycerol and citric acid at final concentrations of 1 and 5 mM in the 50<br />

mM sodium citrate buffer (pH 5.0) at room temperature (25 ± 1°C) for<br />

24 h. Then, the residual enzymatic activity was measured as<br />

aforementioned. The experimental control was performed without<br />

any addition of metal ions or chemical reagents.<br />

Determination of Michaelis constant<br />

The reaction solutions were prepared to contain 0.06 mg/mL of the<br />

enzyme and 300, 200, 100, 50, 25, 12.5 and 6.25 μg/ml of naringin,<br />

respectively. The reaction was performed at 40°C for 3 min.<br />

Thereafter, the amount of consumed naringin was determined to<br />

calculate the enzymatic activities. The Vmax and Km were determined<br />

based on the Lineweaver–Burk plot.<br />

Enzymatic transformation of naringin to prunin<br />

The purified α-L-rhamnosidase at final concentration of 18.23 U/ml<br />

was applied to hydrolyze naringin under the condition described. The<br />

reaction mixture was sampled every 8 min to measure the content<br />

change of naringin, prunin and naringenin by the same HPLC<br />

method described. Meanwhile, the transforming rate was calculated<br />

according to the remaining amount of naringin.<br />

RESULTS<br />

Purification of α-L-rhamnosidase<br />

The α-L-rhamnosidase was purified from the fermented<br />

broth of A. niger by ammonium sulfate precipitation and<br />

column chromatographies of DEAE-Sepharose Fast Flow<br />

column and Sephacryl S-200 HR. As shown in Figure 2A,


Enzymatic activity (U/mL)<br />

Enzymatic activity (U/mL)<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

0<br />

0<br />

0 50 100 150 200<br />

1800<br />

1500<br />

1200<br />

900<br />

600<br />

300<br />

B<br />

A<br />

Fraction No. (3ml/tube)<br />

0<br />

0<br />

0 20 40 60 80 100<br />

Fraction No. (3ml/tube)<br />

Figure 2. Chromatographic purification and analysis of<br />

α-L-rhamnosidase. (A) DEAE-sephrose column chromatography.<br />

(B) Sephacryl-S200 chromatography. Absorbance is at 280 nm. (○);<br />

α-L-Rhamnosidase activity (●); concentration of NaCl (--); collected<br />

fractions (―).<br />

a total number of 4 protein peaks were eluted from the<br />

DEAE-sepharose separation. The expected<br />

α-L-rhamnosidase was eluted out with NaCl concentration<br />

of 0.18 to 0.28 M and detected mainly in the second<br />

protein peak. All the peaks were separated well without<br />

overlaying, indicating that the DEAE-Sepharose Fast Flow<br />

chromatography was efficient to be able to separate the<br />

α-L-rhamnosidase from other proteins.<br />

The active fractions collected from the ion exchange<br />

chromatography were further applied to the Sephacryl<br />

S-200 column. The result (shown in Figure 2B)<br />

demonstrated that a single protein peak concurrently<br />

exhibited the enzyme activity. The molecular weight of this<br />

peak (that is, α-L-rhamnosidase) was measured around<br />

87 kDa both by the SDS-PAGE (Figure 3) and Sephacryl<br />

S-200 (data not shown) after comparison with the standard<br />

protein markers. After the purification steps<br />

aforementioned, the α-L-rhamnosidase was purified by<br />

77.68 fold with yield (recovery) of 36.53% and had a<br />

specific activity at 7678.8 U/mg (Table 1). Only one protein<br />

band shown in the SDS-PAGE analysis (Figure 3)<br />

indicated that the protein had been sufficiently purified to<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.15<br />

0.12<br />

0.09<br />

0.06<br />

0.03<br />

A 280 (mAU); NaCl (M)<br />

A 280 (mAU)<br />

homogeneity.<br />

pH optimum and stability<br />

Ni et al. 5279<br />

The purified α-L-rhamnosidase (Figure 4) exhibited its<br />

maximal activity in pH range of 4.5 to 5.0. Also, it showed<br />

stabilities over a broad pH range of 3.5 to 7.5 (Figure 4),<br />

especially within pH 5 to 6, where the relative activity was<br />

maintained around 90% after 24 h. However, the enzyme<br />

became unstable when pH approached below 3.0 and<br />

above 8.0, where the relative activity showed a significant<br />

loss.<br />

Temperature optimum and stability<br />

The maximal activity of the α-L-rhamnosidase was at 50 to<br />

60°C (Figure 5A). For its thermal stability, slight changes<br />

in activity were observed at 4°C after 10 days (Figure 5B).<br />

However, activities of the α-L-rhamnosidase tended to<br />

decrease at 25 and 37°C after 4 days (Figure 5B), at 50<br />

and 55°C within 1 h (Figure 5C), at 60°C within 10 min<br />

(Figure 5D), respectively.<br />

Effects of metal ions and reagents<br />

As shown in Tables 2 and 3, the α-L-rhamnosidase was<br />

strongly inhibited by Fe 2+ , Fe 3+ , Al 3+ , Cu 2+ , Ag + , Hg 2+ ions<br />

and SDS and 5 mM citric acid; slightly restricted by Zn 2+ ,<br />

Ca 2+ , Mg 2+ and Mn 2+ . However, it was slightly activated by<br />

K + , Ba 2+ ions at 1 mM and 5 mM, as well as DTT, urea,<br />

DMSO, glycerol and citric acid at 1 mM. Na + , EDTA-Na2<br />

and mercaptoethanol seemed having no significant effect<br />

on α-L-rhamnosidase.<br />

Validity of the α-L-rhamnosidase for transformation of<br />

naringin to prunin<br />

The specific activity of the α-L-rhamnosidase increased<br />

with the increment of substrate concentration within 0 to<br />

100 μg/ml (Figure 6). The Michaelis constants, Km and<br />

Vmax of the α-L-rhamnosidase for hydrolysis of naringin<br />

were determined (Figure 6) at 156.74 μg/ml (0.27 mM)<br />

and 9805.15 U/mg, respectively. Almost all the naringin<br />

was hydrolyzed (Figures 7B and 7C). No naringenin was<br />

observed during this process (Figure 7C). After the<br />

hydrolysis, 97% of the naringin was transformed to prunin<br />

(Figure 7D).<br />

DISCUSSION<br />

As described in the introduction, the α-L-rhamnosidase<br />

from A.niger naringinase was possibly the best feasible<br />

and practical option for industrial catalyses of naringin to


5280 Afr. J. Microbiol. Res.<br />

Table 1. Purification of α-L-rhamnosidase.<br />

Purification step<br />

Figure 3. SDS-PAGE of the purified α-L-rhamnosidase. Lane 1 is the<br />

broth supernatant, lane 2 is the ammonium sulphate precipitation<br />

fraction, lane 3 is the dialysate of the ammonium sulphate precipitation,<br />

lane 4 is the fraction from DEAE-sephrose column, and lane 5 is the<br />

fraction from Sephacryl-S200 column.<br />

Total protein<br />

(mg)<br />

Total activity<br />

(U)<br />

Specific activity<br />

(U/mg)<br />

Yield<br />

(%)<br />

Purified<br />

fold<br />

Broth supernatant 922.96 91243.8 97.2 100 1<br />

Ammonium sulphate precipitation 161.5 54442.8 334.8 59.67 3.41<br />

Dialysis 32.7 44857.8 1371.6 49.17 13.88<br />

DEAE-Sepharose chromatography 5.64 40294.8 7144.2 44.16 72.27<br />

Sephacryl S-200 chromatography 4.34 33328.8 7678.8 36.53 77.68<br />

Figure 4. Effect of pH on α-L-rhamnosidase activity: pH optimum (■); pH<br />

stability(□).


prunin so far. By using the HPLC method to facilitate<br />

detection of the enzymatic activity (Figure 7A), the<br />

α-L-rhamnosidase from A. niger has been purified to<br />

homogeneity (Figures 2 and 3) by ammonium sulphate<br />

precipitation and chromatographies on DEAE-sepharose<br />

and Sephacryl S-200 HR columns. The MW of the purified<br />

α-L-rhamnosidase was measured to be around 87 kDa,<br />

similar to a previously reported α-L-rhamnosidase from<br />

Ni et al. 5281<br />

A. niger (Manzanares et al., 1997). Although our purified<br />

α-L-rhamnosidase had similar pH optimal value in range of<br />

pH 4.0 to 5.0 as the previously reported<br />

α-L-rhamnosidases determined by the pNPR method<br />

(Manzanares et al., 1997; Spagna et al., 2000; Yoshikazu<br />

et al., 1973), their stable pH values are significantly<br />

different. In addition, our α-L-rhamnosidase showed an<br />

optimal temperature within 50 to 60°C, which was also<br />

different from other reported α-L-rhamnosidases from A.<br />

niger (Yoshikazu et al., 1973; Manzanares et al., 1997).<br />

Yet, its optimal pH, stable pH, optimal temperature and<br />

stable temperature were all in agreement with those of the<br />

naringinase from A. niger (Puri and Kalra, 2005).<br />

Moreover, the molecular weight of our<br />

α-L-rhamnosidase which was similar to the SDS-PAGE<br />

analysis of the naringinase from A. niger, but less than the<br />

result of gel filtration analysis of the same naringinase (168<br />

kDa) (Puri and Kalra, 2005), suggesting it was a subunit<br />

from naringinase. This enzyme was easy to be purified.<br />

Based on the chromatogram, remaining enzymatic activity<br />

and calculated purified fold (Figure 2B, Table 1), it is<br />

obvious that the ion exchange chromatography was so<br />

efficient to purify the α-L-rhamnosidases that further<br />

purification procedures, for example, gel filtration<br />

chromatography and affinity chromatography, were not<br />

necessary. Its Km value (0.27 mM) indicating that our<br />

purified α-L-rhamnosidase has a high affiliation to naringin.<br />

Furthermore, the transforming rate and the residual<br />

naringin (Figure 7) were above 97% and less than 4%,<br />

respectively revealing the high efficiency and validity of the<br />

new purified α-L-rhamnosidase. These properties suggest<br />

our α-L-rhamnosidase was in high purity that can be used<br />

in food and pharmaceutical industries.<br />

The purified enzyme and its process possessed the<br />

following three advantages: the enzyme that displayed a<br />

strong enzymatic activity and good stability in a wide pH<br />

and temperature range (Figures 3 and 4) would facilitate<br />

the bioconversion of naringin to prunin, It also facilitated<br />

the purification of prunin because the transforming rate<br />

was very high and the remaining naringin was left in small<br />

amount (Figure 7) and the enzymatic reaction can be<br />

promoted by K + ion and some other chemicals (Tables 2<br />

and 3 ). Moreover, this α-L-rhamnosidase can be applied<br />

to eliminate the bitter taste of citrus juice, which is<br />

expected to having the following four advantages: the<br />

Figure 5. Effect of temperature on α-L-rhamnosidase activity. (A)<br />

Temperature profiles; (B) temperature Fig.5 stability at 4(■), 25(▲),<br />

37°C(○); (C) temperature stability at 50(□), 55°C(◆); (D) thermal process is safe; it will not cause other nutritional loss, for<br />

ature profiles; stability (B) temperature at 60°C. stability at 4(■), 25(▲), 37 ºC(○); (C) temperature the enzyme only specifically hydrolyzes naringin; it can<br />

at 50(□), 55 ºC(◆); (D) thermal stability at 60 ºC.<br />

hydrolyze naringin at natural and weak acidic pH value of<br />

the juice and unlike naringinase, it would not convert<br />

naringin to non-soluble naringenin which has to be<br />

removed by centrifuge and filtration during the juice<br />

processing.<br />

Conclusion<br />

The α-L-rhamnosidase from a fermented broth of A. niger<br />

was purified and characterized in light of its MW, optimal


5282 Afr. J. Microbiol. Res.<br />

Table 2. Effect of metal ions on the α-L-rhamnosidase activity.<br />

Metal ion<br />

Fe 2+<br />

Relative activity of α-L-rhamnosidase (%)<br />

1 mmol/L 5.0 mmol/L<br />

41.81 ± 0.15 h 32.75 ± 2.68 f<br />

Fe 3+ 10.51 ± 0.28 i 5.79 ± 2.14 gh<br />

Zn 2+ 79.47 ± 0.86 f 72.14 ± 0.98 e<br />

Ca 2+ 87.67 ± 0.66 e 94.65 ± 1.27 c<br />

K + 119.49 ± 2.19 a 107.58 ± 1.04 a<br />

Al 3+ 8.93 ± 2.78 i 5.26 ± 2.69 gh<br />

Mg 2+ 80.39 ± 3.74 f 85.71 ± 3.23 d<br />

Ba 2+ 113.58 ± 2.64 b 106.01 ± 0.46 a<br />

Mn 2+ 96.87 ± 2.35 d 83.64 ± 1.98 d<br />

Cu 2+ 58.79 ± 2.30 g 7.26 ± 0.14 g<br />

Na + 102.39 ± 2.61 c 104.06 ± 4.30 ab<br />

Ag + 9.40 ± 1.83 i 4.00 ± 0.57 h<br />

Hg 2+ 8.33 ± 1.21 i 5.74 ± 1.46 hg<br />

Control 100 ± 2.20 c 100 ± 1.40 b<br />

Means with different superscript letters within the same column are significantly different (P


Figure 7. Enzymatic conversion of naringin to prunin by the α-L-rhamnosidase. A. The<br />

chromatogram of naringin, prunin and naringenin. B. The chromatogram of the control of<br />

the conversion experiment. C. The chromatogram of the sample of the conversion<br />

experiment. D. The concentration change of naringin and pruning.<br />

pH value and its stable range, optimal temperature and its<br />

thermal stability, activators, inhibitors, substrate specificity,<br />

kinetic parameters and its ability to hydrolyze naringin to<br />

prunin. The present α-L-rhamnosidase showed a MW of<br />

about 87 kDa, with optimal pH 4.5 to 5.0, stable pH range<br />

of 3.5 to 8.0 and optimal temperature of 55 to 60°C. This<br />

enzyme could be inhibited by Fe 2+ , Fe 3+ , Zn 2+ , Al 3+ , Mn 2+ ,<br />

Cu 2+ , Ag + , Hg 2+ ions and SDS. It had a higher specificity to<br />

naringin than pNPR. Its Km was 0.27 mM; the Vmax was<br />

9805.15 U/mg. This enzyme was highly efficient to convert<br />

the naringin to prunin with a transforming rate greater than<br />

97%. These results suggest that this α-L-rhamnosidase<br />

from A. niger naringinase can have meaningful<br />

applications in food and pharmaceutical industries.<br />

REFERENCES<br />

Ni et al. 5283<br />

Bradford MM (1976). A rapid and sensitive method for the quantitation of<br />

microgram quantities of protein utilizing the principle of protein-dye<br />

binding. Anal. Biochem., 72: 248-254.<br />

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JL, Comar JM, Oliveira KMT, da Silva SL (2007). A multivariate study<br />

on flavonoid compounds scavenging the peroxynitrite free radical. J<br />

Mol. Struc. Theochem., 808: 25-33.<br />

Chang H, Lee Y, Bae H, Huh J, Nam S, Sohn H, Lee HJ, Lee S (2011).<br />

Purification and characterisation of Aspergillus sojae naringinase: The<br />

production of prunin exhibiting markedly enhanced solubility with in<br />

vitro inhibition of HMG-CoA reductase. Food Chem., 124: 234-241.<br />

Chen YT, Zheng RL, Jia ZJ (1990). Flavonoids as superoxide<br />

scavengers and antioxidants. Free Radical Biol. Med., 9: 19–21.<br />

Choi JS, Yokozawa T, Oura H (1991a). Improvement of hyperglycemia<br />

and hyperlipemia in streptozotocin-diabetic rats by a methanolic


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extract of Prunus davidiana stems and its main component, Prunin.<br />

Planta Med., 57: 208-211.<br />

Choi JS, Yokozawa T, Oura H (1991b). Antihyperlipidemic effect of<br />

flavonoids from Prunus Davidiana. J. Nat. Prod., 54: 218-224.<br />

Ekambaram G, Rajendran P, Magesh V, Sakthisekaran D (2008).<br />

Naringenin reduces tumor size and weight lost in<br />

n-methyl-N′-nitro-N-nitrosoguanidine–induced gastric carcinogenesis<br />

in rats . Nutr. Res., 28: 106-112.<br />

Fox DW, Savage WL, Wender SH (1953). Hydrolysis of some flavonoid<br />

rhamnoglycosides to flavonoid glucosides. J. Am. Chem. Soc., 75:<br />

2504-2505.<br />

Gordon PB, Holen I, Seglen PO (1995). Protection by naringin and some<br />

other flavonoids of hepatocytic autophagey and endocytosis against<br />

inhibition by okadaic acid. J. Biol. Chem., 270: 5830-5838.<br />

Heim KE, Tagliaferro AR, Bobilya DJ (2002). Flavonoid antioxidants:<br />

chemistry, metabolism and structure-activity relationships. J. Nutr.<br />

Biochem., 13: 572–584.<br />

Kaul TN, Middleton EJrMD, Ogra PL (1985). Antiviral effects of flavonoids<br />

on human viruses. J. Med. Virol.,15: 71-79.<br />

Kaur A, Singh S, Singh RS, Schwarz WH, Puri M (2010). Hydrolysis of<br />

citrus peel naringin by recombinant α-L-rhamnosidase from<br />

Clostridium stercorarium. J. Chem. Technol. Biot., 85: 1419–1422.<br />

Laemmli UK (1970). Cleavage of structural proteins during the assembly<br />

of the head of bacteriophage T4. Nature, 277: 680-685.<br />

Manzanares P, de Graff LH, Visser J (1997). Purification and<br />

characterization of an α-L-rhamnosidase from Aspergillus niger. FEMS<br />

Microbiol. Lett., 157: 279-283.<br />

Martin MJ, Marhuenda E, Perez GC, France JM (1994). Antiulcer effect<br />

of naringin on gastric lesions induced by ethanol in rats. Pharmacology,<br />

49: 144–150.<br />

Parmar NS (1983). The gastric anti-ulcer activity of naringenin, a specific<br />

histidine decarboxylase inhibitor. Intl. J. Tissue React., 5: 415–420.<br />

Pel HJ, de Winde JH, Archer DB, Dyer PS, Hofmann G, Schaap PJ<br />

(2007). Genome sequencing and analysis of the versatile cell factory<br />

Aspergillus niger CBS 513.88. Nat. Biotechnol., 25: 221-231.<br />

Puri M (2012). Updates on naringinase: structural and biotechnological<br />

aspects. Appl. Microbiol. Biotechnol., 93: 49-60.<br />

Puri M, Kalra S (2005). Purification and characterization of naringinase<br />

from a newly isolated strain of Aspergillus niger 1344 for<br />

transformation of flavonoids. W. J. Microbiol. Biotechnol., 21: 753-758.<br />

Puri M, Marwaha SS, Kothari RM (1996). Studies on the applicability of<br />

alginate-entrapped naringiase for the debittering of kinnow juice.<br />

Enzyme Microb. Tech., 18: 281-285.<br />

Ribeiro IA, Ribeiro MHL (2008). Naringin and naringenin determination<br />

and control in grapefruit juice by a validated HPLC method. Food<br />

Control, 19: 432–438.<br />

Ribeiro MH (2011). Naringinases: occurrence, characteristics, and<br />

applications. Appl. Microbiol. Biotechnol., 90: 1883-1895.<br />

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Appl. Biochem. Biotechnol., 9: 483-488.<br />

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rhamnosidase activity of naringinase. Anal. Biochem., 149: 566-571.<br />

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of human breast cancer cell proliferation and delay of mammary<br />

tumorigenesis by flavonoids and citrus juices. Nutr. Cancer, 26:<br />

167–181.<br />

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of Aspergillus terreus CECT 2663 α-L-rhamnosidase and their role on<br />

hydrolysis of naringin solutions. Biosci. Biotechnol. Biochem., 66:<br />

1442-1449.<br />

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of purifying glycosidases: α-L-rhamnopyranosidase from Aspergillus<br />

niger to increase the aroma of Moscato wine. Enzyme Microb. Tech.,<br />

27: 522-530.<br />

Tommasini S. Calabrò ML, Raneri D, Ficarra P, Ficarra R (2004).<br />

Combined effect of pH and polysorbates with cyclodextrins on<br />

solubilization of naringenin. J. Pharm. Biomed. Anal., 3: 327–333.<br />

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review. Process Biochem., 45: 1226-1235.<br />

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Turbo cornutus and Aspergillus niger. J. Biochem., 73: 31-37.


African Journal of <strong>Microbiology</strong> <strong>Research</strong> Vol. 6(24), pp.5285-5287, 28 June, 2012<br />

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

DOI: 10.5897/AJMR11.1110<br />

ISSN 1996-0808 ©2012 <strong>Academic</strong> <strong>Journals</strong><br />

Short Communication<br />

Prevalence of Hepatitis B and C among hemodialysis<br />

and thalassemic patients in a special medical center in<br />

East Tehran in 2011<br />

Mohammad Aminianfar 1 *, Ali-Asghar Saidi 1 , Alireza Fallah 2 and Amin Barghi 3<br />

1 Department of Infectious and Tropical disease, Medical Faculty, Army University of Medical Science, Be'sat Hospital,<br />

Tehran, Iran.<br />

2 Special Medical Center in East of Tehran, Tehran, Iran.<br />

3 Young <strong>Research</strong>ers Club, Lahijan Branch, Islamic Azad University, Lahijan, Iran.<br />

Accepted 23 April, 2012<br />

The blood born transmitted viral hepatitis occurs after frequent blood infusions among patients with<br />

thalassaemia and hemodialysis disease, and in a large number of these patients severe and chronic<br />

liver disease developed. This study aimed to determine the prevalence of hepatitis B and C serology<br />

among hemodialysis and thalassemic patients in a special medical center in East of Tehran in 2011.<br />

This was a descriptive cross-sectional study performed on 62 patients (49 hemodialysis and 13<br />

thalassemic patients) in the same center. Initially, demographic information and data associated with<br />

possible risk factor were collected for each patient followed by testing blood samples for presence of<br />

anti-hepatitis C virus antibody (anti-HCV-Ab), anti-hepatitis B virus antibody (anti-HCV-Ab), and other<br />

serologic tests. By using SPSS software, t test and chi-square statistics data were analyzed. Anti-HCV-<br />

Ab (ELISA) was positive in 4 patients (6.1%). Confirmation of positive samples was carried out using<br />

HCV RNA PCR but the results in all patients (100%) were negative. Serologic markers of hepatitis B<br />

such as hepatitis B surface antigen (HBs-Ag), hepatitis B surface antibody (HBs-Ab) and hepatitis B<br />

core antibody (HBcAb)HBc-Ab were negative in all patients. Regarding the current practice of safe<br />

blood-transfusion program in our country, it is concluded that eliminating of risk factors and the use of<br />

screening tests with higher sensitivity could be among the key elements in controlling the prevalence<br />

of HCV/HBs infection among thalassemia/hemodialysis patients. Serologic markers of hepatitis B and C<br />

should be evaluated in periodic manner and HCV-RNA PCR should be evaluated yearly in all patients,<br />

because defect of cellular and humoral immune system could be present in these patients.<br />

Key words: Prevalence, thalassemia/hemodialysis patients, hepatitis B and C.<br />

INTRODUCTION<br />

According to significant increase in the number of<br />

patients with hemodialysis, infection control and maintain<br />

good quality of life in these patients is important.<br />

However, with regard to increasing number of these<br />

individuals, percentage of people with hepatitis B and C<br />

has decreased. On the other hand, thalassemic patients<br />

due to the frequent blood infusion are at risk of hepatitis<br />

*Corresponding author. E-mail: m_aminianfar@yahoo.com. Tel:<br />

+98 21 39955650. Fax: +98 2133240308.<br />

(Alavian et al., 2003; Alter, 1997). In America, according<br />

to WHO records 6.1% of people have hepatitis C virus<br />

(HCV) infection. But in the Iranian population less than<br />

200,000 (less than 1%) persons have HCV (Alavian et al,<br />

2005). In Iran before 1996, due to repeated transfusions,<br />

the risk of hepatitis C is 12.5 times higher today in<br />

thalassemic patients (Kabir et al., 2006). 20 to 40% of<br />

thalassemic patients have HCV infection (Mirmomen et<br />

al., 2006). A study in 2004 in the Rasht (city in north of<br />

Iran) showed that HCV antibody (HCV-Ab) is positive in<br />

25% of thalassemic patients, in another study in 2001 in<br />

the Qazvin and Semnan, 24.2 and 39% of these patients,


5286 Afr. J. Microbiol. Res.<br />

Table 1. Information of individuals of the study.<br />

Information Total Male Female<br />

Thalassemic patients 13 10 3<br />

Hemodialysis patients 49 37 13<br />

Blood transfusion before 1995 11 4 7<br />

Family history of viral hepatitis 4 3 1<br />

HBV vaccination history 53 32 21<br />

Table 2. Serologic markers of viral hepatitis B and C among hemodialysis and thalassemic patients in<br />

the Special Medical Center in East of Tehran in 2011.<br />

Infection Hemodialysis patients Thalassemic patients<br />

HCV-Ab 3 patients positive 1 patient positive<br />

HBs-Ab Negative in all patients Negative in all patients<br />

HBs-Ag Negative in all patients Negative in all patients<br />

HBc-Ab Negative in all patients Negative in all patients<br />

respectively, were seropositive for HCV-Ab. In all these<br />

reports, prevalence of HCV has significant relationship<br />

with a mean age, duration and number of blood infusions<br />

(Alavian et al., 2002, 2007; Ansar, 2002).<br />

Accordingly, the underlying disease in these patients<br />

largely impaired the humoral and cellular immunity. For<br />

this reason, antibody response against diseases and<br />

vaccinations is impaired in these patients and on the<br />

other hand antibody detection against these diseases will<br />

have false negative results, therefore in diagnosis of<br />

these diseases other methods such as polymerase chain<br />

reaction (PCR) should be used (Kato et al., 2008).<br />

Viral hepatitis infection in hemodialysis patients has the<br />

same pattern of these diseases that is seen in the<br />

country’s population. The prevalence of hepatitis B virus<br />

(HBV) in North America and Western Europe is 3%,<br />

Central America, Eastern Europe and Africa sometimes<br />

up to 20%, and in Iran about 6.2% of the people have<br />

HBV infection. In different countries, 4 to 59% of<br />

hemodialysis patients were infected with HCV. HCV<br />

infection was reported in 7.61% of hemodialysis patients<br />

in Iran (Ehsani et al., 2009).<br />

HCV-Ab test is required once every three months in<br />

hemodialysis patients and HCV-RNA PCR is required<br />

yearly. In this study, we determine the prevalence of<br />

hepatitis B and C in hemodialysis and thalassemic<br />

patients in the Special Medical Center in East of Tehran<br />

in 2011.<br />

METHODOLOGY<br />

A descriptive cross-sectional study was performed on 62 patients<br />

(49 hemodialysis patients and 13 thalassemic patients) in the same<br />

center. Initially, demographic information and data associated with<br />

possible risk factor (frequency of blood transfusion and surgery,<br />

tattoo, underlying diseases) was collected for each patient followed<br />

by testing blood samples for presence of anti-HCV-Ab, anti-HBc-Ab,<br />

and other serologic tests. By using SPSS software, t test and chisquare<br />

statistics data were analyzed.<br />

RESULTS<br />

This study was performed on 62 patients in this center,<br />

40 (65%) males and 22 (35%) females, mean age is 44 ±<br />

19 years, the minimum age is 9 and maximum is 79<br />

years. Patients in this study are 49 hemodialysis patients<br />

(37 males and 13 females) and 13 thalassemic patients<br />

(3 males and 10 females). Forty patients have two or<br />

more co-morbidity (such as hypertension, renal failure,<br />

and diabetes mellitus) (Table 1).<br />

In this study, 10 patients (9 males and 1 female) had no<br />

history of vaccination against hepatitis B. Table 2 shows<br />

serologic markers of viral hepatitis in population of study.<br />

According to the results of viral hepatitis serological<br />

tests, HCV-RNA PCR performed in all patients of this<br />

center and the later test were negative for all patients.<br />

DISCUSSION<br />

This study was performed for the first time in this center.<br />

Four patients were seropositive for HCV but HCV-RNA<br />

PCR was negative in these patients. This revealed that<br />

the patients were infected in the past, but the infection<br />

was resolved at present. This is a warning for the dialysis<br />

centers, and isolation of these patients is necessary. In<br />

patients of this center, HCV-Ab test is required once<br />

every three months and HCV-RNA PCR is required<br />

yearly (Shamshirsaz et al., 2004).<br />

Despite full course vaccination with double dose HBV


vaccine, HBs-Ab is negative in all patients. It is<br />

worrisome among these patients and other techniques<br />

such as intradermal injection of HBV vaccine and multiple<br />

dose of vaccine are recommended.<br />

ACKNOWLEDGMENTS<br />

Thanks to the medical employees of dialysis centers in<br />

Special Medical Center in East of Tehran.<br />

REFERENCES<br />

Alavian SM, Adibi P, Zali M (2005). Hepatits C viruse in Iran:<br />

Epidemiology of an emerging infection. Arch. Iran. Med., 8(2): 84-90.<br />

Alavian SM, Hajariazdeh B, Malekzadeh R (2003). Hepatitis C in<br />

hemophiliacs. Govaresh, 8: 139-148. [In Persian].<br />

Alavian SM, Kafaei J, Yektaparast B, Hajarizadeh B, Kamali A, Sadri M<br />

(2002). The prevalence of Hepatitis B and C among Thalassemia<br />

major patients in Qazvin. Kowsar Med. J., 4: 319-325.<br />

Alavian SM, Fallahian F, Lankarani KB (2007). The changing<br />

epidemiology of viralHepatitis B in Iran. J. Gastrointestin. Liver Dis.,<br />

16: 403-406.<br />

Alter MJ (1997). Epidemiology of Hepatitis C. Hepatology, 26: 62S-65S.<br />

Ansar MM, Kooloobandi A (2002). Prevalence of Hepatitis C virus<br />

infection in thalassemia and hemodialysis patients in north Iran.<br />

Rasht. J. Viral Hepat., 9: 390-392.<br />

Aminianfar et al. 5287<br />

Ehsani MJ, Alavian SM, Ashrafijo M, Afhami S, Razaghi M, Mansori D<br />

(2009). A practical guideline for physician on diagnosis,treatment and<br />

control of viral Hepatitis in hemodialysis and renal transplantation.<br />

Afrang publication. 2 nd edited 15.<br />

Kabir A, Alavian SM, Keyvani H (2006). Distribiution ofHepatitis C virus<br />

genotypes in patients infected by different sources and its correlation<br />

with clinical and virological parameters:a preliminary study. Comp.<br />

Hepatol., 5: 4.<br />

Kato S, Chmielewski M, Honda H, Pecoits-Filho R, Matsuo S, Yuzawa<br />

Y, Tranaeus A, Stenvinkel P, Lindholm B (2008). Aspects of Immune<br />

Dysfunction in End-stage Renal Disease. Clin. J. Am. Soc. Nephrol.,<br />

3: 1526-1533.<br />

Mirmomen S, Alavian SM, Hajarizadeh B, Kafaee J, Yektaparast B,<br />

Zahedi MJ, Zand V, Azami A, Ali Hosseini M, Faridi A, Davari K,<br />

Hajibeigi B (2006). Epidemiology of HepatitisB,HepatitisC and HIV in<br />

patient withβ thalassemia in Iran: A multicenter study. Arch. Iran.<br />

Med., 9: 319-323.<br />

Shamshirsaz A, Kamgar K, Bekheirnia M, Ayazi F, Hashemi R, Bouzari<br />

N, Habibzadeh MR, Pourzahedgilani N, Broumand V, Shamshirsaz<br />

AA, Moradi M, Borghei M, Haghighi N, Broumand B (2004). The role<br />

of hemodialysis machines dedication in reducing HepatitisC<br />

transmission in the dialysis setting in Iran: A multicenterprospective<br />

interventional study. BMC Nephrol., 5: 13.


UPCOMING CONFERENCES<br />

7th Conference of the World Mycotoxin Forum and<br />

XIIIth IUPAC International Symposium on Mycotoxins and Phycotoxins,<br />

Rotterdam, Netherlands, 5 Nov 2012<br />

13th International Congress on Yeasts, Madison, USA,<br />

26-30 Aug 2012


Conferences and Advert<br />

August 2012<br />

13th International Congress on Yeasts, Madison, USA, 26 Aug 2012<br />

September 2012<br />

6th International Congress on Biocatalysis, Hamburg, Germany, 2 Sep 2012<br />

9th International Congress on Extremophiles, Sevilla, Spain, 10 Sep 2012<br />

October 2012<br />

Actinobacteria within Soils: Capacities for Mutualsim, Symbiosis and Pathogenesis,<br />

Muenster, Germany, 25 Oct 2012<br />

November 2012<br />

7th Conference of the World Mycotoxin Forum and XIIIth IUPAC International<br />

Symposium on Mycotoxins and Phycotoxins, Rotterdam, Netherlands, 5 Nov 2012<br />

December 2012<br />

Marine <strong>Microbiology</strong> and Biotechnology: Biodiscovery, Biodiversity and<br />

Bioremediation, Cork, Ireland, 19 Dec 2012<br />

International Conference on Pathology and <strong>Microbiology</strong>, Bangkok, Thailand, 26 Dec<br />

2012


African Journal of<br />

<strong>Microbiology</strong> <strong>Research</strong><br />

Related <strong>Journals</strong> Published by <strong>Academic</strong> <strong>Journals</strong><br />

■ Journal of Cell and Animal Biology<br />

■ African Journal of Biotechnology<br />

■ Biotechnology and Molecular Biology Reviews<br />

■ African Journal of Food Science<br />

■ African Journal of Biochemistry <strong>Research</strong><br />

■ Journal of Bacteriology <strong>Research</strong>

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