Literature DB >> 13680204

A biomarker for the identification of swine fecal pollution in water, using the STII toxin gene from enterotoxigenic Escherichia coli.

L A Khatib1, Y L Tsai, B H Olson.   

Abstract

This research developed a PCR method to identify swine fecal pollution in water, using a portion of the STII toxin gene from enterotoxigenic Escherichia coli as the target sequence. This method showed the gene to have a wide-spread geographical distribution and temporal stability; and the primers demonstrated high specificity, sensitivity, and reliability. A total of 110 DNA extracts from different animal fecal and human sewage samples were screened using the primers and no positives resulted. Centrifugation and filtration methods for concentrating E. coli seeded into stream, ocean, secondary effluent, and dairy lagoon waters resulted in detection limits at the femtogram and attogram levels. E. coli with the biomarker seeded into stream, ocean, and secondary effluent waters remained stable for approximately 2 weeks for all water types. Of the farm lagoon and waste samples tested, 94% were positive for the STII trait, regardless of the number of E. coli screened and 100% were positive when > or =35 E. coli isolates were screened. As the PCR product of the target sequence yielded a single band, the method is applicable to dot blot detection methodology, yielding great accuracy in determining the presence of swine fecal sources.

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Year:  2003        PMID: 13680204     DOI: 10.1007/s00253-003-1373-9

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  12 in total

Review 1.  Performance, design, and analysis in microbial source tracking studies.

Authors:  Donald M Stoeckel; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2007-02-16       Impact factor: 4.792

2.  Identifying host sources of fecal pollution: diversity of Escherichia coli in confined dairy and swine production systems.

Authors:  Zexun Lu; David Lapen; Andrew Scott; Angela Dang; Edward Topp
Journal:  Appl Environ Microbiol       Date:  2005-10       Impact factor: 4.792

3.  Evaluation of bovine feces-associated microbial source tracking markers and their correlations with fecal indicators and zoonotic pathogens in a Brisbane, Australia, reservoir.

Authors:  W Ahmed; T Sritharan; A Palmer; J P S Sidhu; S Toze
Journal:  Appl Environ Microbiol       Date:  2013-02-15       Impact factor: 4.792

4.  Predictive models for Escherichia coli concentrations at inland lake beaches and relationship of model variables to pathogen detection.

Authors:  Donna S Francy; Erin A Stelzer; Joseph W Duris; Amie M G Brady; John H Harrison; Heather E Johnson; Michael W Ware
Journal:  Appl Environ Microbiol       Date:  2013-01-04       Impact factor: 4.792

5.  Molecular indicators used in the development of predictive models for microbial source tracking.

Authors:  Elisenda Ballesté; Xavier Bonjoch; Lluís A Belanche; Anicet R Blanch
Journal:  Appl Environ Microbiol       Date:  2010-01-29       Impact factor: 4.792

6.  High-throughput and quantitative procedure for determining sources of Escherichia coli in waterways by using host-specific DNA marker genes.

Authors:  Tao Yan; Matthew J Hamilton; Michael J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2006-12-08       Impact factor: 4.792

7.  Genes Indicative of Zoonotic and Swine Pathogens Are Persistent in Stream Water and Sediment following a Swine Manure Spill.

Authors:  Sheridan K Haack; Joseph W Duris; Dana W Kolpin; Lisa R Fogarty; Heather E Johnson; Kristen E Gibson; Michael Focazio; Kellogg J Schwab; Laura E Hubbard; William T Foreman
Journal:  Appl Environ Microbiol       Date:  2015-03-13       Impact factor: 4.792

8.  Escherichia coli populations in Great Lakes waterfowl exhibit spatial stability and temporal shifting.

Authors:  Dennis L Hansen; Satoshi Ishii; Michael J Sadowsky; Randall E Hicks
Journal:  Appl Environ Microbiol       Date:  2009-01-09       Impact factor: 4.792

9.  Development of a swine-specific fecal pollution marker based on host differences in methanogen mcrA genes.

Authors:  Jennifer A Ufnar; David F Ufnar; Shiao Y Wang; R D Ellender
Journal:  Appl Environ Microbiol       Date:  2007-06-22       Impact factor: 4.792

10.  Pig manure contamination marker selection based on the influence of biological treatment on the dominant fecal microbial groups.

Authors:  Romain Marti; Patrick Dabert; Anne-Marie Pourcher
Journal:  Appl Environ Microbiol       Date:  2009-06-12       Impact factor: 4.792

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