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Title

Antimicrobial resistant coliform bacteria in the Gomti river water and determination of their tolerance level 

 

Authors

Asma Akhter1, Mohd Imran1* & Firoz Akhter2

 

Affiliation

1Department of Biosciences, Integral University, Lucknow-226026, India; 2Department of Bioengineering, Integral University, Lucknow -226026, India

 

Email

mohd.imran.iu@gmail.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received March 09, 2014; Accepted March 13, 2014; Published April 23, 2014

 

Abstract

The distribution of resistance to ampicillin, chloramphenicol, sulfonamides, tetracycline, and streptomycin among coliform in the Gomti river water samples was investigated. The coliform populations were isolated on Mac Conky and eosin methylene blue (EMB) agar plates supplemented with antibiotics. The incidence of resistance among the coliform population varied considerably in different drug and water sampling sites. Coliform bacteria showed lower drug resistant viable count in sampling site-III (receiving treated wastewater) as compared to more polluted site-I and site-II. Viable count of coliform population obtained on both medium was recorded higher against erythromycin from sampling site-III. Lower viable count of coliforms was recorded against tetracycline in site-II and III. Similar resistance pattern was obtained in the frequency of E.coli and Enterobacter species from all the three sampling sites. Percentage of antibiotic resistant E. coli was observed higher than Enterobacter spp among the total coliforms against all antibiotics tested without Erythromycin and penicillin in site-I and II respectively. Isolates of E.coli and Enterobacter spp. showed their tolerance level (MIC) in the range of 2-100 against the antibiotics tested. Maximum number of isolates of both genus exhibited their MICs at lower concentration range 2-5g/ml against ciprofloxacin, tetracyclin and amoxycillin.

 

Keywords

River Water, Viable Count, Antibiotics, Coliform Bacteria, Multidrug Resistance

 

Citation

Akhter  et al Bioinformation 10(4): 167-174 (2014)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.