Literature DB >> 19329663

Estimation of pig fecal contamination in a river catchment by real-time PCR using two pig-specific Bacteroidales 16S rRNA genetic markers.

Sophie Mieszkin1, Jean-Pierre Furet, Gérard Corthier, Michèle Gourmelon.   

Abstract

The microbiological quality of coastal or river water can be affected by fecal contamination from human or animal sources. To discriminate pig fecal pollution from other pollution, a library-independent microbial source tracking method targeting Bacteroidales host-specific 16S rRNA gene markers by real-time PCR was designed. Two pig-specific Bacteroidales markers (Pig-1-Bac and Pig-2-Bac) were designed using 16S rRNA gene Bacteroidales clone libraries from pig feces and slurry. For these two pig markers, 98 to 100% sensitivity and 100% specificity were obtained when tested by TaqMan real-time PCR. A decrease in the concentrations of Pig-1-Bac and Pig-2-Bac markers was observed throughout the slurry treatment chain. The two newly designed pig-specific Bacteroidales markers, plus the human-specific (HF183) and ruminant-specific (BacR) Bacteroidales markers, were then applied to river water samples (n = 24) representing 14 different sites from the French Daoulas River catchment (Brittany, France). Pig-1-Bac and Pig-2-Bac were quantified in 25% and 62.5%, respectively, of samples collected around pig farms, with concentrations ranging from 3.6 to 4.1 log10 copies per 100 ml of water. They were detected in water samples collected downstream from pig farms but never detected near cattle farms. HF183 was quantified in 90% of water samples collected downstream near Daoulas town, with concentrations ranging between 3.6 and 4.4 log10 copies per 100 ml of water, and BacR in all water samples collected around cattle farms, with concentrations ranging between 4.6 and 6.0 log10 copies per 100 ml of water. The results of this study highlight that pig fecal contamination was not as frequent as human or bovine fecal contamination and that fecal pollution generally came from multiple origins. The two pig-specific Bacteroidales markers can be applied to environmental water samples to detect pig fecal pollution.

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Year:  2009        PMID: 19329663      PMCID: PMC2681621          DOI: 10.1128/AEM.02343-08

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


  36 in total

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2.  Introducing DOTUR, a computer program for defining operational taxonomic units and estimating species richness.

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3.  Concentrations of pathogens and indicators in animal feces in the Sydney watershed.

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4.  Dynamics of a pig slurry microbial community during anaerobic storage and management.

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Journal:  Appl Environ Microbiol       Date:  2006-05       Impact factor: 4.792

5.  Quantification of host-specific Bacteroides-Prevotella 16S rRNA genetic markers for assessment of fecal pollution in freshwater.

Authors:  Satoshi Okabe; Noriko Okayama; Olga Savichtcheva; Tsukasa Ito
Journal:  Appl Microbiol Biotechnol       Date:  2006-12-01       Impact factor: 4.813

6.  Characterisation of the microbial diversity in a pig manure storage pit using small subunit rDNA sequence analysis.

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7.  Host distributions of uncultivated fecal Bacteroidales bacteria reveal genetic markers for fecal source identification.

Authors:  Linda K Dick; Anne E Bernhard; Timothy J Brodeur; Jorge W Santo Domingo; Joyce M Simpson; Sarah P Walters; Katharine G Field
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8.  First isolation of Shiga toxin 1d producing Escherichia coli variant strains in shellfish from coastal areas in France.

Authors:  M Gourmelon; M P Montet; S Lozach; C Le Mennec; M Pommepuy; L Beutin; C Vernozy-Rozand
Journal:  J Appl Microbiol       Date:  2006       Impact factor: 3.772

9.  New screening software shows that most recent large 16S rRNA gene clone libraries contain chimeras.

Authors:  Kevin E Ashelford; Nadia A Chuzhanova; John C Fry; Antonia J Jones; Andrew J Weightman
Journal:  Appl Environ Microbiol       Date:  2006-09       Impact factor: 4.792

10.  Quantitative PCR method for sensitive detection of ruminant fecal pollution in freshwater and evaluation of this method in alpine karstic regions.

Authors:  Georg H Reischer; David C Kasper; Ralf Steinborn; Robert L Mach; Andreas H Farnleitner
Journal:  Appl Environ Microbiol       Date:  2006-08       Impact factor: 4.792

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  42 in total

1.  Unsuitability of quantitative Bacteroidales 16S rRNA gene assays for discerning fecal contamination of drinking water.

Authors:  Paul W J J van der Wielen; Gertjan Medema
Journal:  Appl Environ Microbiol       Date:  2010-05-28       Impact factor: 4.792

2.  Identification of source of faecal pollution of Tirumanimuttar River, Tamilnadu, India using microbial source tracking.

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Journal:  Environ Monit Assess       Date:  2011-10-20       Impact factor: 2.513

3.  Relationship between soil properties and patterns of bacterial beta-diversity across reclaimed and natural boreal forest soils.

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Journal:  Microb Ecol       Date:  2009-10-15       Impact factor: 4.552

4.  Microbial Source Tracking in Adjacent Karst Springs.

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Journal:  Appl Environ Microbiol       Date:  2015-05-22       Impact factor: 4.792

5.  Microbial community analysis and identification of alternative host-specific fecal indicators in fecal and river water samples using pyrosequencing.

Authors:  Ju-Yong Jeong; Hee-Deung Park; Kyong-Hee Lee; Hang-Yeon Weon; Jong-Ok Ka
Journal:  J Microbiol       Date:  2011-09-02       Impact factor: 3.422

6.  Decay of bacterial pathogens, fecal indicators, and real-time quantitative PCR genetic markers in manure-amended soils.

Authors:  Shane W Rogers; Matthew Donnelly; Lindsay Peed; Catherine A Kelty; Sumona Mondal; Zirong Zhong; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2011-06-03       Impact factor: 4.792

7.  Level of contamination in the feces of several species at major inland pollution sources in the drainage basin of Yeoja Bay, Republic of Korea.

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8.  Relevance of Bacteroidales and F-specific RNA bacteriophages for efficient fecal contamination tracking at the level of a catchment in France.

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9.  Survival of host-associated bacteroidales cells and their relationship with Enterococcus spp., Campylobacter jejuni, Salmonella enterica serovar Typhimurium, and adenovirus in freshwater microcosms as measured by propidium monoazide-quantitative PCR.

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Journal:  Appl Environ Microbiol       Date:  2011-12-02       Impact factor: 4.792

10.  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

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