Literature DB >> 12549570

Putative temporal variability of Escherichia coli ribotypes from yearling steers.

M B Jenkins1, P G Hartel, T J Olexa, J A Stuedemann.   

Abstract

Escherichia coli is a ubiquitous component of the intestinal microflora of warm-blooded animals, and is an indicator of fecal contamination of surface waters. Ribotype profiling of E. coli is one of several genotypic methods that has been developed to determine the host origin of fecal bacteria. Like most genotypic methods of source tracking, ribotyping requires a host origin database to identify environmental isolates. To determine the extent of temporal variability of ribotypes and its effect on a host origin database, E. coli isolates were obtained from fecal samples of two herds of Black Angus steers at a long-term experimental site at four sampling times from October 1999 to July 2000. Fecal samples were taken from six randomly chosen steers at each time. At a similarity index of 90% as calculated by unweighted pair-group method using arithmetic averages (UPGMA), 240 ribotypes were identified from 451 E. coli isolates. Only 20 ribotypes (8.3%), comprising 33% of the total isolates, were shared among sampling times and were considered resident ribotypes. Two of the twenty resident ribotypes appeared at three sampling times, and the remaining eighteen appeared at two. The majority of the ribotypes, therefore, were transient and unique to each sampling time and steer. Both the apparent turnover of E. coli ribotypes and a clonal diversity index of 0.97 (indicative of extensive ribotype variability) suggest the necessity of ribotyping a large number E. coli isolates per host to establish a host origin database that is independent of temporal variability, or complete enough to be effective.

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Year:  2003        PMID: 12549570     DOI: 10.2134/jeq2003.3050

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  14 in total

1.  Development of goose- and duck-specific DNA markers to determine sources of Escherichia coli in waterways.

Authors:  Matthew J Hamilton; Tao Yan; Michael J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

Review 2.  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

3.  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

4.  Assessment of environmental impacts of a colony of free-ranging rhesus monkeys (Macca mulatta) on Morgan Island, South Carolina.

Authors:  Jeanette L Klopchin; Jill R Stewart; Laura F Webster; Paul A Sandifer
Journal:  Environ Monit Assess       Date:  2007-06-13       Impact factor: 2.513

5.  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

6.  Statistical analyses: possible reasons for unreliability of source tracking efforts.

Authors:  Clarivel Lasalde; Roberto Rodríguez; Gary A Toranzos
Journal:  Appl Environ Microbiol       Date:  2005-08       Impact factor: 4.792

7.  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

8.  Sample size, library composition, and genotypic diversity among natural populations of Escherichia coli from different animals influence accuracy of determining sources of fecal pollution.

Authors:  LeeAnn K Johnson; Mary B Brown; Ethan A Carruthers; John A Ferguson; Priscilla E Dombek; Michael J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2004-08       Impact factor: 4.792

9.  Assessment of the microbial ecology of ruminal methanogens in cattle with different feed efficiencies.

Authors:  Mi Zhou; Emma Hernandez-Sanabria; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2009-08-28       Impact factor: 4.792

10.  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

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