Literature DB >> 15573614

Comparison of seven protocols to identify fecal contamination sources using Escherichia coli.

Donald M Stoeckel1, Melvin V Mathes, Kenneth E Hyer, Charles Hagedorn, Howard Kator, Jerzy Lukasik, Tara L O'Brien, Terry W Fenger, Mansour Samadpour, Kriston M Strickler, Bruce A Wiggins.   

Abstract

Microbial source tracking (MST) uses various approaches to classify fecal-indicator microorganisms to source hosts. Reproducibility, accuracy, and robustness of seven phenotypic and genotypic MST protocols were evaluated by use of Escherichia coli from an eight-host library of known-source isolates and a separate, blinded challenge library. In reproducibility tests, measuring each protocol's ability to reclassify blinded replicates, only one (pulsed-field gel electrophoresis; PFGE) correctly classified all test replicates to host species; three protocols classified 48-62% correctly, and the remaining three classified fewer than 25% correctly. In accuracy tests, measuring each protocol's ability to correctly classify new isolates, ribotyping with EcoRI and PvuII approached 100% correctclassification but only 6% of isolates were classified; four of the other six protocols (antibiotic resistance analysis, PFGE, and two repetitive-element PCR protocols) achieved better than random accuracy rates when 30-100% of challenge isolates were classified. In robustness tests, measuring each protocol's ability to recognize isolates from nonlibrary

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Year:  2004        PMID: 15573614     DOI: 10.1021/es0354519

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  20 in total

1.  Highly discriminatory single-nucleotide polymorphism interrogation of Escherichia coli by use of allele-specific real-time PCR and eBURST analysis.

Authors:  Maxim S Sheludchenko; Flavia Huygens; Megan H Hargreaves
Journal:  Appl Environ Microbiol       Date:  2010-05-07       Impact factor: 4.792

2.  Development of Bacteroides 16S rRNA gene TaqMan-based real-time PCR assays for estimation of total, human, and bovine fecal pollution in water.

Authors:  Alice Layton; Larry McKay; Dan Williams; Victoria Garrett; Randall Gentry; Gary Sayler
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

3.  Comparison of bacteroides-prevotella 16S rRNA genetic markers for fecal samples from different animal species.

Authors:  Lisa R Fogarty; Mary A Voytek
Journal:  Appl Environ Microbiol       Date:  2005-10       Impact factor: 4.792

Review 4.  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

5.  Evaluation of two library-independent microbial source tracking methods to identify sources of fecal contamination in French estuaries.

Authors:  Michèle Gourmelon; Marie Paule Caprais; Raphaël Ségura; Cécile Le Mennec; Solen Lozach; Jean Yves Piriou; Alain Rincé
Journal:  Appl Environ Microbiol       Date:  2007-06-08       Impact factor: 4.792

6.  Fecal source tracking by antibiotic resistance analysis on a watershed exhibiting low resistance.

Authors:  Yolanda Olivas; Barton R Faulkner
Journal:  Environ Monit Assess       Date:  2007-06-12       Impact factor: 2.513

7.  Temporal assessment of the impact of exposure to cow feces in two watersheds by multiple host-specific PCR assays.

Authors:  Yong-Jin Lee; Marirosa Molina; Jorge W Santo Domingo; Jonathan D Willis; Michael Cyterski; Dinku M Endale; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2008-09-19       Impact factor: 4.792

8.  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

9.  Identification of fecal input sites in spring water by selection and genotyping of multiresistant Escherichia coli.

Authors:  Melanie Wicki; Fatma Karabulut; Adrian Auckenthaler; Richard Felleisen; Marcel Tanner; Andreas Baumgartner
Journal:  Appl Environ Microbiol       Date:  2011-09-30       Impact factor: 4.792

10.  Tracking host sources of Cryptosporidium spp. in raw water for improved health risk assessment.

Authors:  Norma J Ruecker; Shannon L Braithwaite; Edward Topp; Thomas Edge; David R Lapen; Graham Wilkes; Will Robertson; Diane Medeiros; Christoph W Sensen; Norman F Neumann
Journal:  Appl Environ Microbiol       Date:  2007-05-04       Impact factor: 4.792

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