Microbiology Research - Academic Journals
Microbiology Research - Academic Journals
Microbiology Research - Academic Journals
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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.
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Moran GJ, Amii RN, Abrahamian FM, Talan DA (2005).<br />
Methicillinresistant Staphylococcus aureus in<br />
community-acquired skin infections. Emerg. Infect. Dis.<br />
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Pitout JDD, Church DL, Gregson DB, Chow BL,<br />
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Molecular epidemiology of CTXM-producing<br />
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Antimicrob. Agents Chemother. 51: 1281-1286.<br />
Pelczar JR, Harley JP, Klein DA (1993). <strong>Microbiology</strong>:<br />
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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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Leblebicioglu H, Esen S, Turan D, Tanyeri Y, Karadenizli A, Ziyagil F,<br />
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Melek IM, Erdogan S, Celik S, Aslantas O, Duman T (2006). Evaluation<br />
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Naderi M, Hashemi M, Komijani-Bozchaloei F, Moazeni-Roodi A,<br />
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Westerveld GJ, Dekker I, Voss HP, Bast A, Scheeren RA (1997).<br />
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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 />
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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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diversity and antifungal activity of species of Pestalotiopsis isolated<br />
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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 />
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Producing in Undisturbed and Contaminated Arid Southwestern soils.<br />
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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 />
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Production and applications of trehalose lipid biosurfactants. Eur. J.<br />
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Harman DC, Artiola JF (1995). Removal of cadmium, lead, and zink<br />
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Kosaric N (2000). Biosurfactant in Industry. Pure and Appl. Ind., 64 (11):<br />
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Lang S, Wullbbrandt D (1999). Rhamnos lipid biosynthesis, microbial<br />
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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 />
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Paknikar KM, Puranik PR, Pethkar AV (1999). Development of microbial<br />
biosorbents- a need for the standardization of experimental protocols.<br />
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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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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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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 />
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CU (2010). Acylated and des acyl ghrelin in human portal and<br />
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(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 />
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(2005). Purification, cDNA cloning, and characterization of ghrelin in<br />
channel catfish, Ictalurus punctatus. Gen. Comp. Endocrinol., 143(3):<br />
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gastrin-releasing peptide in Atlantic cod (Gadus morhua): cloning,<br />
localization, developmental profile and role in food intake regulation.<br />
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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 />
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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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Honda ER, Salcedo JM (2010). Characterization of Hepatitis B virus<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 />
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Chen YT, Zheng RL, Jia ZJ (1990). Flavonoids as superoxide<br />
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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 />
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Kaur A, Singh S, Singh RS, Schwarz WH, Puri M (2010). Hydrolysis of<br />
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of the head of bacteriophage T4. Nature, 277: 680-685.<br />
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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 />
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Alter MJ (1997). Epidemiology of Hepatitis C. Hepatology, 26: 62S-65S.<br />
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Ehsani MJ, Alavian SM, Ashrafijo M, Afhami S, Razaghi M, Mansori D<br />
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3: 1526-1533.<br />
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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 />
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Shamshirsaz A, Kamgar K, Bekheirnia M, Ayazi F, Hashemi R, Bouzari<br />
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AA, Moradi M, Borghei M, Haghighi N, Broumand B (2004). The role<br />
of hemodialysis machines dedication in reducing HepatitisC<br />
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2012
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