Hatha, A A M; Abhirosh, Chandran; Sherin, Varghese; Sheeja, K M(Journal of marine and atmospheric research, July , 2007)
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Abstract:
A total of eighty-one Escherichia coli isolates belonging to forty-three different serotypes including several
pathogenic strains such as enterotoxigenic E. coli (ETEC), enterohaemorrhagic E. coli (EHEC), enteropathogenic E. coli
(EPEC) and uropathogenic E. coli (UPEC) isolated from Cochin estuary between November 2001 and October 2002 were
tested against twelve antibiotics to determine the prevalence of multiple antibiotic resistance (MAR) and antimicrobial
resistance profiles as a measure of high risk source of contamination. The results revealed that more than 95% of the
isolates were multiple antibiotic resistant (resistant to more than three antibiotics). The MAR indexing of the isolates
showed that all these strains originated from high risk source of contamination. The incidence of multiple antibiotic
resistant E. coli especially the pathogenic strains in natural waters will pose a serious threat to human population
Hatha, A A M; Abhirosh, C; Sherin, V; Thomas, A P; Mazumder, A(Elsevier, March 23, 2011)
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Abstract:
To assess the prevalence of faecal coliform bacteria and multiple drug resistance
among Escherichia coli and Salmonella serotypes from Vembanadu Lake.
Study design: Systematic microbiological testing.
Methods: Monthly collection of water samples were made from ten stations on the southern
and northern parts of a salt water regulator constructed in Vembanadu Lake in order to
prevent incursion of seawater during certain periods of the year. Density of faecal colifrom
bacteria was estimated. E. coli and Salmonella were isolated and their different serotypes
were identified. Antibiotic resistance analysis of E. coli and Salmonella serotypes was done
and the MAR index of individual isolates was calculated.
Results: Density of faecal coliform bacteria ranged from mean MPN value 2900 -7100/100ml.
Results showed multiple drug resistance pattern among the bacterial isolates. E. coli
showed more than 50% resistance to amickacin, oxytetracycline, streptomycin, tetracycline
and kanamycin while Salmonella showed high resistance to oxytetracycline, streptomycin,
tetracycline and ampicillin. The MAR indexing of the isolates showed that they
have originated from high risk source such as humans, poultry and dairy cows.
Conclusions: The high density of faecal coliform bacteria and prevalence of multi drug
resistant E. coli and Salmonella serotypes in the lake may pose severe public health risk
through related water borne and food borne outbreaks
Prevalence and antibiotic resistance of Escherichia coli in the water and sediment samples
of brackish water aquaculture ponds adjacent to Cochin backwaters was analysed. More
than 50% of the water samples and more than 80% of sediment samples from all the sampling
stations were tested positive for £. coli. Risk assessment of the E. coli strains was carried
out using multiple antibiotic resistance (MAR) indexing. Majority of the strains were found
to be multiple antibiotic resistant suggesting their origin from high risk sources of
contamination such as human where antibiotics are frequently used. While none of the £.
coli strains were resistant against amikacin, chloramphenicol, streptomycin and trimethoprim,
considerable levels of resistance was encountered against ampicillin, erythromycin,
penicillin G and vancomycin. High prevalence of £. coli in the water and sediment samples
of this extensive brackish water ponds indicates high degree of faecal pollution of this
environment. The high risk nature of the strains warrants efficient post harvest and processing
measures to avoid health risk to consumers
Hatha, A A M; Abhirosh, Chandran; Sherin, Varghese; Mony Sheeja, K(Microbes And Enviornments, 2008)
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Abstract:
A toatal of 81 Escherichia coliisolates belonging to 43 different serotypes including several pathogenic strains such as enterotoxigenic E.coli isolated from a tropical estuary were tested against 12 antibiotics to determine the prevelance of multiple antibiotic resistance, antimicrobial resistance profiles and also to find out high risk source of contamination by MAR indexing.