Literature DB >> 15382726

Recommendations for microbial source tracking: lessons from a methods comparison study.

Jill R Stewart1, R D Ellender, Janet A Gooch, Sunny Jiang, Samuel P Myoda, Stephen B Weisberg.   

Abstract

The methods comparison study described in accompanying manuscripts demonstrated the potential value of microbial source tracking (MST) techniques, but also identified a need for method refinement. This paper provides three classes of recommendations to improve MST technology: optimization, development and evaluation. Optimization recommendations focus on library-dependent methods and include improved selection of restriction enzymes or antibiotics, better definition of appropriate library size, selection of target species and choice of statistical pattern-matching algorithms. Methods development recommendations focus on identifying new genomic targets and quantification procedures for library-independent methods. Longer-term methods development recommendations include integration of microarrays and other direct pathogen detection technology with MST. Studies defining host specificity and population dynamics should aid selection of target species during methods development. Evaluation recommendations include enhancements that should be incorporated into future methods comparison studies, along with studies to assess the value of MST results for risk characterization.

Mesh:

Year:  2003        PMID: 15382726

Source DB:  PubMed          Journal:  J Water Health        ISSN: 1477-8920            Impact factor:   1.744


  9 in total

1.  Microbial Pollution Tracking of Dairy Farm with a Combined PCR-DGGE and qPCR Approach.

Authors:  Xiaoxia Xi; Jiachao Zhang; Laiyu Kwok; Dongxue Huo; Shuzhen Feng; Heping Zhang; Tiansong Sun
Journal:  Curr Microbiol       Date:  2015-09-04       Impact factor: 2.188

2.  Method for isolation of Bacteroides bacteriophage host strains suitable for tracking sources of fecal pollution in water.

Authors:  Andrey Payan; James Ebdon; Huw Taylor; Christophe Gantzer; Jakob Ottoson; Georgos T Papageorgiou; Anicet R Blanch; Francisco Lucena; Juan Jofre; Maite Muniesa
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

Review 3.  Performance, design, and analysis in microbial source tracking studies.

Authors:  Donald M Stoeckel; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2007-02-16       Impact factor: 4.792

4.  Elucidating Waterborne Pathogen Presence and Aiding Source Apportionment in an Impaired Stream.

Authors:  Jennifer Weidhaas; Angela Anderson; Rubayat Jamal
Journal:  Appl Environ Microbiol       Date:  2018-03-01       Impact factor: 4.792

5.  Detection of genetic markers of fecal indicator bacteria in Lake Michigan and determination of their relationship to Escherichia coli densities using standard microbiological methods.

Authors:  Patricia A Bower; Caitlin O Scopel; Erika T Jensen; Morgan M Depas; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

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

7.  Integrated analysis of established and novel microbial and chemical methods for microbial source tracking.

Authors:  Anicet R Blanch; Lluís Belanche-Muñoz; Xavier Bonjoch; James Ebdon; Christophe Gantzer; Francisco Lucena; Jakob Ottoson; Christos Kourtis; Aina Iversen; Inger Kühn; Laura Mocé; Maite Muniesa; Janine Schwartzbrod; Sylvain Skraber; Georgios T Papageorgiou; Huw Taylor; Jessica Wallis; Joan Jofre
Journal:  Appl Environ Microbiol       Date:  2006-09       Impact factor: 4.792

8.  Using DNA microarrays to identify library-independent markers for bacterial source tracking.

Authors:  Marilyn Soule; Edward Kuhn; Frank Loge; John Gay; Douglas R Call
Journal:  Appl Environ Microbiol       Date:  2006-03       Impact factor: 4.792

9.  Multitiered approach using quantitative PCR to track sources of fecal pollution affecting Santa Monica Bay, California.

Authors:  Rachel T Noble; John F Griffith; A Denene Blackwood; Jed A Fuhrman; Jason B Gregory; Ximena Hernandez; Xiaolin Liang; Angie A Bera; Kenneth Schiff
Journal:  Appl Environ Microbiol       Date:  2006-02       Impact factor: 4.792

  9 in total

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