Literature DB >> 14509714

Deer diet affects ribotype diversity of Escherichia coli for bacterial source tracking.

Peter G Hartel1, Jacob D Summer, William I Segars.   

Abstract

Ribotyping is one of a number of genotypic methods for bacterial source tracking. This method requires a host origin database of one bacterial species be established in order to identify environmental isolates. Researchers establishing these databases have observed considerable ribotype diversity within a specific bacterial species. One source of this diversity may be diet. We determined the effect of diet on ribotype diversity for Escherichia coli in penned and wild deer (Odocoileus virginianus) in a 13-ha forested watershed. A total of 298 E. coli isolates was obtained, 100 from penned deer, 100 from wild deer, and 98 from the stream in the watershed to which all deer had access. The wild deer had significantly more ribotypes (35) than the penned deer (11 ribotypes, p = 0.05). This result suggests that diet affected ribotype diversity, and that a host origin database for bacterial source tracking should contain bacterial isolates from wild rather than from captive animals. Also, 42 of 98 (42.9%) environmental isolates matched penned and wild deer ribotypes. If bacterial source tracking determines that fecal contamination is predominantly from wildlife, then it may be unnecessary to monitor these watersheds because control over wildlife is difficult.

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Year:  2003        PMID: 14509714     DOI: 10.1016/S0043-1354(03)00170-2

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  7 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

2.  Assessment of animal impacts on bacterial water quality in a South Carolina, USA tidal creek system.

Authors:  L F Webster; D A Graves; D A Eargle; D E Chestnut; J A Gooch; M H Fulton
Journal:  Environ Monit Assess       Date:  2013-02-24       Impact factor: 2.513

3.  Host species-specific metabolic fingerprint database for enterococci and Escherichia coli and its application to identify sources of fecal contamination in surface waters.

Authors:  W Ahmed; R Neller; M Katouli
Journal:  Appl Environ Microbiol       Date:  2005-08       Impact factor: 4.792

4.  Methods to increase fidelity of repetitive extragenic palindromic PCR fingerprint-based bacterial source tracking efforts.

Authors:  Wail M Hassan; Shiao Y Wang; Rudolph D Ellender
Journal:  Appl Environ Microbiol       Date:  2005-01       Impact factor: 4.792

5.  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

6.  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

7.  Forest fragmentation as cause of bacterial transmission among nonhuman primates, humans, and livestock, Uganda.

Authors:  Tony L Goldberg; Thomas R Gillespie; Innocent B Rwego; Elizabeth L Estoff; Colin A Chapman
Journal:  Emerg Infect Dis       Date:  2008-09       Impact factor: 6.883

  7 in total

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