Literature DB >> 17412907

Identifying fecal sources in a selected catchment reach using multiple source-tracking tools.

Jason R Vogel1, Donald M Stoeckel, Regina Lamendella, Ronald B Zelt, Jorge W Santo Domingo, Steven R Walker, Daniel B Oerther.   

Abstract

Given known limitations of current microbial source-tracking (MST) tools, emphasis on small, simple study areas may enhance interpretations of fecal contamination sources in streams. In this study, three MST tools-Escherichia coli repetitive element polymerase chain reaction (rep-PCR), coliphage typing, and Bacteroidales 16S rDNA host-associated markers-were evaluated in a selected reach of Plum Creek in south-central Nebraska. Water-quality samples were collected from six sites. One reach was selected for MST evaluation based on observed patterns of E. coli contamination. Despite high E. coli concentrations, coliphages were detected only once among water samples, precluding their use as a MST tool in this setting. Rep-PCR classification of E. coli isolates from both water and sediment samples supported the hypothesis that cattle and wildlife were dominant sources of fecal contamination, with minor contributions by horses and humans. Conversely, neither ruminant nor human sources were detected by Bacteroidales markers in most water samples. In bed sediment, ruminant- and human-associated Bacteroidales markers were detected throughout the interval from 0 to 0.3 m, with detections independent of E. coli concentrations in the sediment. Although results by E. coli-based and Bacteroidales-based MST methods led to similar interpretations, detection of Bacteroidales markers in sediment more commonly than in water indicates that different tools to track fecal contamination (in this case, tools based on Bacteroidales DNA and E. coli isolates) may have varying relevance to the more specific goal of tracking the sources of E. coli in watersheds. This is the first report of simultaneous, toolbox approach application of a library-based and marker-based MST analyses to flowing surface water.

Entities:  

Mesh:

Year:  2007        PMID: 17412907     DOI: 10.2134/jeq2006.0246

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  9 in total

1.  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

2.  Performance of different assessment methods to evaluate contaminant sources and fate in a coastal aquifer.

Authors:  C Sbarbati; N Colombani; M Mastrocicco; R Aravena; M Petitta
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-27       Impact factor: 4.223

3.  Determination of fecal contamination origin in reclaimed water open-air ponds using biochemical fingerprinting of enterococci and fecal coliforms.

Authors:  Arnau Casanovas-Massana; Anicet R Blanch
Journal:  Environ Sci Pollut Res Int       Date:  2012-09-21       Impact factor: 4.223

4.  Restructuring of the Aquatic Bacterial Community by Hydric Dynamics Associated with Superstorm Sandy.

Authors:  Nikea Ulrich; Abigail Rosenberger; Colin Brislawn; Justin Wright; Collin Kessler; David Toole; Caroline Solomon; Steven Strutt; Erin McClure; Regina Lamendella
Journal:  Appl Environ Microbiol       Date:  2016-05-31       Impact factor: 4.792

5.  Presence of Bacteroidales as a predictor of pathogens in surface waters of the central California coast.

Authors:  Alexander Schriewer; Woutrina A Miller; Barbara A Byrne; Melissa A Miller; Stori Oates; Patricia A Conrad; Dane Hardin; Hsuan-Hui Yang; Nadira Chouicha; Ann Melli; Dave Jessup; Clare Dominik; Stefan Wuertz
Journal:  Appl Environ Microbiol       Date:  2010-07-16       Impact factor: 4.792

6.  Distribution of genetic markers of fecal pollution on a freshwater sandy shoreline in proximity to wastewater effluent.

Authors:  Jessica J Eichmiller; Randall E Hicks; Michael J Sadowsky
Journal:  Environ Sci Technol       Date:  2013-03-21       Impact factor: 9.028

7.  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

8.  Long-term monitoring of waterborne pathogens and microbial source tracking markers in paired agricultural watersheds under controlled and conventional tile drainage management.

Authors:  Graham Wilkes; Julie Brassard; Thomas A Edge; Victor Gannon; Natalie Gottschall; Cassandra C Jokinen; Tineke H Jones; Izhar U H Khan; Romain Marti; Mark D Sunohara; Edward Topp; David R Lapen
Journal:  Appl Environ Microbiol       Date:  2014-04-11       Impact factor: 4.792

9.  Coherence among different microbial source tracking markers in a small agricultural stream with or without livestock exclusion practices.

Authors:  Graham Wilkes; Julie Brassard; Thomas A Edge; Victor Gannon; Cassandra C Jokinen; Tineke H Jones; Romain Marti; Norman F Neumann; Norma J Ruecker; Mark Sunohara; Edward Topp; David R Lapen
Journal:  Appl Environ Microbiol       Date:  2013-08-02       Impact factor: 4.792

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.