Literature DB >> 17482658

Sourcing faecal pollution: a combination of library-dependent and library-independent methods to identify human faecal pollution in non-sewered catchments.

W Ahmed1, J Stewart, T Gardner, D Powell, P Brooks, D Sullivan, N Tindale.   

Abstract

Library-dependent (LD) (biochemical fingerprinting of Escherichia coli and enterococci) and library-independent (LI) (PCR detection of human-specific biomarkers) methods were used to detect human faecal pollution in three non-sewered catchments. In all, 550 E. coli isolates and 700 enterococci isolates were biochemically fingerprinted from 18 water samples and compared with metabolic fingerprint libraries of 4508 E. coli and 4833 enterococci isolates. E. coli fingerprints identified human unique biochemical phenotypes (BPTs) in nine out of 18 water samples; similarly, enterococci fingerprints identified human faecal pollution in 10 water samples. Seven samples were tested by PCR for the detection of biomarkers. Human-specific HF134 Bacteroides and enterococci surface protein (esp) biomarkers were detected in five samples. Four samples were also positive for HF183 Bacteroides biomarker. The combination of biomarkers detected human faecal pollution in six out of seven water samples. Of the seven samples analysed for both the indicators/markers, at least one indicator/marker was detected in every sample. Four of the seven PCR-positive samples were also positive for one of the human-specific E. coli or enterococci BPTs. The results indicated human faecal pollution in the studied sub-catchments after storm events. LD and LI methods used in this study complimented each other and provided additional information regarding the polluting sources when one method failed to detect human faecal pollution. Therefore, it is recommended that a combination of methods should be used to identify the source(s) of faecal pollution where possible.

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Year:  2007        PMID: 17482658     DOI: 10.1016/j.watres.2007.02.051

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


  7 in total

1.  Application of Faecalibacterium 16S rDNA genetic marker for accurate identification of duck faeces.

Authors:  Da Sun; Chuanren Duan; Yaning Shang; Yunxia Ma; Lili Tan; Jun Zhai; Xu Gao; Jingsong Guo; Guixue Wang
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-08       Impact factor: 4.223

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

Authors:  Kasi Murugan; Perumal Prabhakaran; Saleh Al-Sohaibani; Kuppusamy Sekar
Journal:  Environ Monit Assess       Date:  2011-10-20       Impact factor: 2.513

3.  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
Journal:  Appl Environ Microbiol       Date:  2016-04-18       Impact factor: 4.792

4.  Terrestrial sources homogenize bacterial water quality during rainfall in two urbanized watersheds in Santa Barbara, CA.

Authors:  Bram Sercu; Laurie C Van De Werfhorst; Jill L S Murray; Patricia A Holden
Journal:  Microb Ecol       Date:  2011-05-27       Impact factor: 4.552

5.  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
Journal:  Water Res       Date:  2017-12-13       Impact factor: 11.236

6.  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

Review 7.  A review on microbial contaminants in stormwater runoff and outfalls: Potential health risks and mitigation strategies.

Authors:  Warish Ahmed; Kerry Hamilton; Simon Toze; Stephen Cook; Declan Page
Journal:  Sci Total Environ       Date:  2019-07-05       Impact factor: 7.963

  7 in total

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