Multiple Antibiotic Resistance Indexing of Coliforms

In Pakistan the bacteriological contamination of drinking water has been reported to be one of the most serious issue, it can lead to water borne diseases. The objective of this study is to check the quality of drinking water, occurrence of pathogenic organism and analysis of different distribution points as well as related filter plant which supplying water for drinking and other purposes to different areas of Karachi after filtration and chlorination. The prime concern of the study is linked with SDG-06. Microbial source tracking (MST) methods are increasingly being used to identify fecal contamination sources in drinking water. This study assessed the bacteriological qualities of drinking water, prevalence of Escherichia coli and antibiotic susceptibility of isolated Coliforms in different towns of Karachi during January 2017 to December 2018. 105 drinking water samples were collected from 21 different towns of Karachi for assessment. Different bacterial species were isolated using standard microbiological and biochemical techniques. Antibiotic susceptibility study was carried out using Kirby Bauer disc diffusion method. Analysis of the samples revealed that approximately 68 % of the water samples were not fit for human consumption. Duringsubject study twenty-three (23) bacterial isolates were obtained, out of them, Pseudomonas aeuroginosa and Escherichiacoli had the highest percentage of occurrence (66.66%) and(42.85%)respectively. The most effective antibiotic was Tetracycline tezobactam followed by Meropenemeimipenem &Aztreonam against 08 most hazardous bacterial species. It was determined that multiple-antibiotic-resistant (MAR) E. coli organisms exist in large numbers within the major reservoirs of enteric diseases. The presence of these multi-drug resistant strains in water samples could facilitate transmission of antibiotic resistance. MAR (multiple antibiotic resistances) indexing is likely to provide a useful tool for better risk assessment by identifying contamination from high-risk environments. The presence or absence of MAR E. coli would give more significance to current arbitrary numerical standard. Such type of data is essential to observe changing patterns in water borne diseases and provide valuable information for future risk management and prevention strategies. Analysis of the samples revealed that approximately 68 % of the water samples were not fit for human consumption. Duringsubject study twenty-three (23) bacterial isolates were obtained, out of them, Pseudomonas aeuroginosa and Escherichiacoli had the highest percentage of occurrence (66.66
^%
) and(42.85%)respectively. The most effective antibiotic was Tetracycline tezobactam followed by Meropenemeimipenem &Aztreonam against 08 most hazardous bacterial species. It was determined that multiple-antibiotic-resistant (MAR) E. coli organisms exist in large numbers within the major reservoirs of enteric diseases. The presence of these multi-drug resistant strains in water samples could facilitate transmission of antibiotic resistance. MAR (multiple antibiotic resistances) indexing is likely to provide a useful tool for better risk assessment by identifying contamination from high-risk environments. The presence or absence of MAR E. coli would give more significance to current arbitrary numerical standard. Such type of data is essential to observe changing patterns in water borne diseases and provide valuable information for future risk management and prevention strategies. The presence of these multi-drug resistant strains in water samples could facilitate transmission of antibiotic resistance. MAR (multiple antibiotic resistances) indexing is likely to provide a useful tool for better risk assessment by identifying contamination from high-risk environments. The presence or absence of MAR E. coli would give more significance to current arbitrary numerical standard. Such type of data is essential to observe changing patterns in water borne diseases and provide valuable information for future risk management and prevention strategies.