ArticleApplied and environmental microbiology2002
Development of a procedure for discriminating among Escherichia coli isolates from animal and human sources.
Article in Applied and environmental microbiology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Bacteriological quality and prevalence of foodborne bacteria in broiler meat sold at live bird markets at Mymensingh City in Bangladesh.Journal of advanced veterinary and animal research · 2022Article
- Microbial source tracking using metagenomics and other new technologies.Journal of microbiology (Seoul, Korea) · 2021Review
- Article
- Detection of antibiotic-resistant bacteria and their resistance genes from houseflies.Veterinary world · 2020Article
- Application of Escherichia coli antibiotic resistance patterns for contamination source identification in watershed.Environmental science and pollution research international · 2019Article
- Microbial load in bio-slurry from different biogas plants in Bangladesh.Journal of advanced veterinary and animal research · 2019Article
- Isolation and identification of bacteria from fresh guava (Veterinary world · 2018Article
- Detection of food-borne bacteria in ready to eat betel leaf sold at local markets in Mymensingh.Veterinary world · 2017Article
- Prevalence of colibacillosis in chickens in greater Mymensingh district of Bangladesh.Veterinary world · 2017Article
- Potential disease transmission from wild geese and swans to livestock, poultry and humans: a review of the scientific literature from a One Health perspective.Infection ecology & epidemiology · 2017Article
- Determining sources of fecal bacteria in waterways.Environmental monitoring and assessment · 2007Article
- Considerations when using discriminant function analysis of antimicrobial resistance profiles to identify sources of fecal contamination of surface water in Michigan.Applied and environmental microbiology · 2007Article
- Performance, design, and analysis in microbial source tracking studies.Applied and environmental microbiology · 2007Review
- Multiplex quantitative real-time reverse transcriptase PCR for F+-specific RNA coliphages: a method for use in microbial source tracking.Applied and environmental microbiology · 2007Article
- High-throughput and quantitative procedure for determining sources of Escherichia coli in waterways by using host-specific DNA marker genes.Applied and environmental microbiology · 2007Article
- Application of oligonucleotide microarrays for bacterial source tracking of environmental Enterococcus sp. isolates.International journal of environmental research and public health · 2005Article
- Patterns of antimicrobial resistance observed in Escherichia coli isolates obtained from domestic- and wild-animal fecal samples, human septage, and surface water.Applied and environmental microbiology · 2005Article
- Genetic diversity of Escherichia coli isolated from urban rivers and beach water.Applied and environmental microbiology · 2004Article
- Sample size, library composition, and genotypic diversity among natural populations of Escherichia coli from different animals influence accuracy of determining sources of fecal pollution.Applied and environmental microbiology · 2004Article
- Diversity and succession of the intestinal bacterial community of the maturing broiler chicken.Applied and environmental microbiology · 2003Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Counts of Escherichia coli cells in water indicate the potential presence of pathogenic microbes of intestinal origin but give no indication of the sources of the microbial pollution. The objective of this research was to evaluate methods for differentiating E. coli isolates of livestock, wildlife, or human origin that might be used to predict the sources of fecal pollution of water. A collection of 319 E. coli isolates from the feces of cattle, poultry, swine, deer, goose, and moose, as well as from human sewage, and clinical samples was used to evaluate three methods. One method was the multiple-antibiotic-resistance (MAR) profile using 14 antibiotics. Discriminant analysis revealed that 46% of the livestock isolates, 95% of the wildlife isolates, and 55% of the human isolates were assigned to the correct source groups by the MAR method. Amplified fragment length polymorphism (AFLP) analysis, the second test, was applied to 105 of the E. coli isolates. The AFLP results showed that 94% of the livestock isolates, 97% of the wildlife isolates, and 97% of the human isolates were correctly classified. The third method was analysis of the sequences of the 16S rRNA genes of the E. coli isolates. Discriminant analysis of 105 E. coli isolates indicated that 78% of the livestock isolates, 74% of the wildlife isolates, and 80% of the human isolates could be correctly classified into their host groups by this method. The results indicate that AFLP analysis was the most effective of the three methods that were evaluated.
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