Literature DB >> 17557850

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

Michèle Gourmelon1, Marie Paule Caprais, Raphaël Ségura, Cécile Le Mennec, Solen Lozach, Jean Yves Piriou, Alain Rincé.   

Abstract

In order to identify the origin of the fecal contamination observed in French estuaries, two library-independent microbial source tracking (MST) methods were selected: (i) Bacteroidales host-specific 16S rRNA gene markers and (ii) F-specific RNA bacteriophage genotyping. The specificity of the Bacteroidales markers was evaluated on human and animal (bovine, pig, sheep, and bird) feces. Two human-specific markers (HF183 and HF134), one ruminant-specific marker (CF193'), and one pig-specific marker (PF163) showed a high level of specificity (>90%). However, the data suggest that the proposed ruminant-specific CF128 marker would be better described as an animal marker, as it was observed in all bovine and sheep feces and 96% of pig feces. F RNA bacteriophages were detected in only 21% of individual fecal samples tested, in 60% of pig slurries, but in all sewage samples. Most detected F RNA bacteriophages were from genotypes II and III in sewage samples and from genotypes I and IV in bovine, pig, and bird feces and from pig slurries. Both MST methods were applied to 28 water samples collected from three watersheds at different times. Classification of water samples as subject to human, animal, or mixed fecal contamination was more frequent when using Bacteroidales markers (82.1% of water samples) than by bacteriophage genotyping (50%). The ability to classify a water sample increased with increasing Escherichia coli or enterococcus concentration. For the samples that could be classified by bacteriophage genotyping, 78% agreed with the classification obtained from Bacteroidales markers.

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Year:  2007        PMID: 17557850      PMCID: PMC1951030          DOI: 10.1128/AEM.03003-06

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  49 in total

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3.  Tiered approach for identification of a human fecal pollution source at a recreational beach: case study at Avalon Bay, Catalina Island, California.

Authors:  Alexandria B Boehm; Jed A Fuhrman; Robert D Mrse; Stanley B Grant
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4.  Application of a rapid method for identifying fecal pollution sources in a multi-use estuary.

Authors:  Anne E Bernhard; Thierry Goyard; Michael T Simonich; Katharine G Field
Journal:  Water Res       Date:  2003-02       Impact factor: 11.236

5.  Comparative resistance of phage isolates of four genotypes of f-specific RNA bacteriophages to various inactivation processes.

Authors:  M Schaper; A E Durán; J Jofre
Journal:  Appl Environ Microbiol       Date:  2002-08       Impact factor: 4.792

6.  F-specific RNA coliphages: occurrence, types, and survival in natural waters.

Authors:  G M Brion; J S Meschke; M D Sobsey
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7.  Use of viral pathogens and indicators to differentiate between human and non-human fecal contamination in a microbial source tracking comparison study.

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8.  Abundance and characteristics of the recreational water quality indicator bacteria Escherichia coli and enterococci in gull faeces.

Authors:  L R Fogarty; S K Haack; M J Wolcott; R L Whitman
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9.  Inactivation of indicator micro-organisms from various sources of faecal contamination in seawater and freshwater.

Authors:  R T Noble; I M Lee; K C Schiff
Journal:  J Appl Microbiol       Date:  2004       Impact factor: 3.772

Review 10.  Microbial source tracking: state of the science.

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Journal:  Environ Sci Technol       Date:  2002-12-15       Impact factor: 9.028

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  30 in total

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Journal:  Environ Microbiol Rep       Date:  2014-07-09       Impact factor: 3.541

2.  Association of fecal indicator bacteria with human viruses and microbial source tracking markers at coastal beaches impacted by nonpoint source pollution.

Authors:  Shannon McQuaig; John Griffith; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2012-07-06       Impact factor: 4.792

3.  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

4.  Fecal bacteroidales diversity and decay in response to variations in temperature and salinity.

Authors:  Christopher J Schulz; Gary W Childers
Journal:  Appl Environ Microbiol       Date:  2011-01-28       Impact factor: 4.792

5.  Relative decay of Bacteroidales microbial source tracking markers and cultivated Escherichia coli in freshwater microcosms.

Authors:  Linda K Dick; Erin A Stelzer; Erin E Bertke; Denise L Fong; Donald M Stoeckel
Journal:  Appl Environ Microbiol       Date:  2010-03-26       Impact factor: 4.792

Review 6.  Microbial source tracking using metagenomics and other new technologies.

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7.  Tracking the primary sources of fecal pollution in a tropical watershed in a one-year study.

Authors:  Carlos Toledo-Hernandez; Hodon Ryu; Joel Gonzalez-Nieves; Evelyn Huertas; Gary A Toranzos; Jorge W Santo Domingo
Journal:  Appl Environ Microbiol       Date:  2013-01-04       Impact factor: 4.792

8.  Data Acceptance Criteria for Standardized Human-Associated Fecal Source Identification Quantitative Real-Time PCR Methods.

Authors:  Orin C Shanks; Catherine A Kelty; Robin Oshiro; Richard A Haugland; Tania Madi; Lauren Brooks; Katharine G Field; Mano Sivaganesan
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9.  Portable platform for rapid in-field identification of human fecal pollution in water.

Authors:  Yu Sherry Jiang; Timothy E Riedel; Jessica A Popoola; Barrett R Morrow; Sheng Cai; Andrew D Ellington; Sanchita Bhadra
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10.  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

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