Literature DB >> 19031895

Environmental occurrence of the enterococcal surface protein (esp) gene is an unreliable indicator of human fecal contamination.

Muruleedhara N Byappanahalli1, Katarzyna Przybyla-Kelly, Dawn A Shively, Richard L Whitman.   

Abstract

The enterococcal surface protein (esp) gene found in Enterococcus faecalis and E. faecium has recently been explored as a marker of sewage pollution in recreational waters but its occurrence and distribution in environmental enterococci has not been well-documented. If the esp gene is found in environmental samples, there are potential implications for microbial source tracking applications. In the current study, a total of 452 samples (lake water, 100; stream water, 129; nearshore sand, 96; and backshore sand, 71; Cladophora sp. (Chlorophyta), 41; and periphyton (mostly Bacillariophyceae), 15) collected from the coastal watersheds of southern Lake Michigan were selectively cultured for enterococci and then analyzed for the esp gene by PCR, targeting E. faecalis/ E. faecium (esp(fs/fm)) and E. faecium (esp(fm)). Overall relative frequencies for esp(fs/fm) and esp(fm) were 27.4 and 5.1%. Respective percent frequency for the esp(fs/fm) and esp(fm) was 36 and 14% in lake water, 38.8 and 2.3% in stream water, 24 and 6.3% in nearshore sand; 0% in backshore sand; 24.4 and 0% in Cladophora sp.; and 33.3 and 0% in periphyton. The overall occurrence of both esp(fs/fm) and esp(fm) was significantly related (chi2 = 49, P < 0.0001). Post-rain incidence of esp(fs/fm) increased in lake and stream water and nearshore sand. Further, E. coli and enterococci cell densities were significant predictors for esp(fs/fm) occurrence in post-rain lake water, but esp(fm) was not F+ coliphage densities were not significant predictors for esp(fm) or esp(fs/fm) gene incidence. In summary, the differential occurrence of the esp gene in the environment suggests that it is not limited to human fecal sources and thus may weaken its use as a reliable tool in discriminating contaminant sources (i.e., human vs. nonhuman).

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Year:  2008        PMID: 19031895     DOI: 10.1021/es800481p

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


  6 in total

Review 1.  Enterococci in the environment.

Authors:  Muruleedhara N Byappanahalli; Meredith B Nevers; Asja Korajkic; Zachery R Staley; Valerie J Harwood
Journal:  Microbiol Mol Biol Rev       Date:  2012-12       Impact factor: 11.056

2.  Analysis of human and animal fecal microbiota for microbial source tracking.

Authors:  Jung Eun Lee; Sunghee Lee; Joohon Sung; GwangPyo Ko
Journal:  ISME J       Date:  2010-08-05       Impact factor: 10.302

3.  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

4.  Molecular characterization of bacteriophages for microbial source tracking in Korea.

Authors:  Jung Eun Lee; Mi Young Lim; Sei Yoon Kim; Sunghee Lee; Heetae Lee; Hyun-Myung Oh; Hor-Gil Hur; Gwangpyo Ko
Journal:  Appl Environ Microbiol       Date:  2009-09-18       Impact factor: 4.792

5.  Antibiotic-resistance and virulence genes in Enterococcus isolated from tropical recreational waters.

Authors:  Tasha M Santiago-Rodriguez; Jessica I Rivera; Mariel Coradin; Gary A Toranzos
Journal:  J Water Health       Date:  2013-09       Impact factor: 1.744

6.  Identification of human and animal fecal contamination after rainfall in the Han River, Korea.

Authors:  Ji Young Kim; Heetae Lee; Jung Eun Lee; Myung-Sub Chung; Gwang Pyo Ko
Journal:  Microbes Environ       Date:  2013-05-11       Impact factor: 2.912

  6 in total

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