Literature DB >> 10742246

Identification of nonpoint sources of fecal pollution in coastal waters by using host-specific 16S ribosomal DNA genetic markers from fecal anaerobes.

A E Bernhard1, K G Field.   

Abstract

We describe a new PCR-based method for distinguishing human and cow fecal contamination in coastal waters without culturing indicator organisms, and we show that the method can be used to track bacterial marker sequences in complex environments. We identified two human-specific genetic markers and five cow-specific genetic markers in fecal samples by amplifying 16S ribosomal DNA (rDNA) fragments from members of the genus Bifidobacterium and the Bacteroides-Prevotella group and performing length heterogeneity PCR and terminal restriction fragment length polymorphism analyses. Host-specific patterns suggested that there are species composition differences in the Bifidobacterium and Bacteroides-Prevotella populations of human and cow feces. The patterns were highly reproducible among different hosts belonging to the same species. Additionally, all host-specific genetic markers were detected in water samples collected from areas frequently contaminated with fecal pollution. Ease of detection and longer survival in water made Bacteroides-Prevotella indicators better than Bifidobacterium indicators. Fecal 16S rDNA sequences corresponding to our Bacteroides-Prevotella markers comprised closely related gene clusters, none of which exactly matched previously published Bacteroides or Prevotella sequences. Our method detected host-specific markers in water at pollutant concentrations of 2.8 x 10(-5) to 2.8 x 10(-7) g (dry weight) of feces/liter and 6.8 x 10(-7) g (dry weight) of sewage/liter. Although our aim was to identify nonpoint sources of fecal contamination, the method described here should be widely applicable for monitoring spatial and temporal fluctuations in specific bacterial groups in natural environments.

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Year:  2000        PMID: 10742246      PMCID: PMC92027          DOI: 10.1128/AEM.66.4.1587-1594.2000

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


  48 in total

1.  Bacterioplankton compositions of lakes and oceans: a first comparison based on fluorescence in situ hybridization.

Authors:  F O Glöckner; B M Fuchs; R Amann
Journal:  Appl Environ Microbiol       Date:  1999-08       Impact factor: 4.792

2.  A partial phylogenetic analysis of the "flavobacter-bacteroides" phylum: basis for taxonomic restructuring.

Authors:  R Gherna; C R Woese
Journal:  Syst Appl Microbiol       Date:  1992-12       Impact factor: 4.022

3.  Tangential flow filtration and preliminary phylogenetic analysis of marine picoplankton.

Authors:  S J Giovannoni; E F DeLong; T M Schmidt; N R Pace
Journal:  Appl Environ Microbiol       Date:  1990-08       Impact factor: 4.792

4.  Fidelity of DNA synthesis by the Thermus aquaticus DNA polymerase.

Authors:  K R Tindall; T A Kunkel
Journal:  Biochemistry       Date:  1988-08-09       Impact factor: 3.162

5.  CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP.

Authors:  Joseph Felsenstein
Journal:  Evolution       Date:  1985-07       Impact factor: 3.694

6.  Primer-directed enzymatic amplification of DNA with a thermostable DNA polymerase.

Authors:  R K Saiki; D H Gelfand; S Stoffel; S J Scharf; R Higuchi; G T Horn; K B Mullis; H A Erlich
Journal:  Science       Date:  1988-01-29       Impact factor: 47.728

7.  Distribution of Candida albicans genotypes among family members.

Authors:  S K Mehta; D A Stevens; S K Mishra; F Feroze; D L Pierson
Journal:  Diagn Microbiol Infect Dis       Date:  1999-05       Impact factor: 2.803

8.  Analysis of mer Gene Subclasses within Bacterial Communities in Soils and Sediments Resolved by Fluorescent-PCR-Restriction Fragment Length Polymorphism Profiling.

Authors:  K D Bruce
Journal:  Appl Environ Microbiol       Date:  1997-12       Impact factor: 4.792

9.  Genetic diversity in Sargasso Sea bacterioplankton.

Authors:  S J Giovannoni; T B Britschgi; C L Moyer; K G Field
Journal:  Nature       Date:  1990-05-03       Impact factor: 49.962

10.  Bifidobacterium ruminantium sp. nov. and Bifidobacterium merycicum sp. nov. from the rumens of cattle.

Authors:  B Biavati; P Mattarelli
Journal:  Int J Syst Bacteriol       Date:  1991-01
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  121 in total

1.  A PCR assay To discriminate human and ruminant feces on the basis of host differences in Bacteroides-Prevotella genes encoding 16S rRNA.

Authors:  A E Bernhard; K G Field
Journal:  Appl Environ Microbiol       Date:  2000-10       Impact factor: 4.792

2.  Molecular approaches to microbiological monitoring: fecal source detection.

Authors:  Katharine G Field; Anne E Bernhard; Timothy J Brodeur
Journal:  Environ Monit Assess       Date:  2003 Jan-Feb       Impact factor: 2.513

Review 3.  Microbial source tracking: current methodology and future directions.

Authors:  Troy M Scott; Joan B Rose; Tracie M Jenkins; Samuel R Farrah; Jerzy Lukasik
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

4.  Arcobacter in Lake Erie beach waters: an emerging gastrointestinal pathogen linked with human-associated fecal contamination.

Authors:  Cheonghoon Lee; Senyo Agidi; Jason W Marion; Jiyoung Lee
Journal:  Appl Environ Microbiol       Date:  2012-06-01       Impact factor: 4.792

5.  Impact of population and latrines on fecal contamination of ponds in rural Bangladesh.

Authors:  Peter S K Knappett; Veronica Escamilla; Alice Layton; Larry D McKay; Michael Emch; Daniel E Williams; R Huq; J Alam; Labony Farhana; Brian J Mailloux; Andy Ferguson; Gary S Sayler; Kazi M Ahmed; Alexander van Geen
Journal:  Sci Total Environ       Date:  2011-05-31       Impact factor: 7.963

6.  Use of antibiotic resistance analysis for representativeness testing of multiwatershed libraries.

Authors:  Bruce A Wiggins; Philip W Cash; Wes S Creamer; Scott E Dart; Preston P Garcia; Todd M Gerecke; Jennifer Han; Brian L Henry; Kylie B Hoover; Erika L Johnson; K C Jones; Jacquie G McCarthy; Justin A McDonough; Sarah A Mercer; Michael J Noto; Haewon Park; Matthew S Phillips; Stephanie M Purner; Brian M Smith; Erin N Stevens; Amy K Varner
Journal:  Appl Environ Microbiol       Date:  2003-06       Impact factor: 4.792

7.  Rapid estimation of numbers of fecal Bacteroidetes by use of a quantitative PCR assay for 16S rRNA genes.

Authors:  Linda K Dick; Katharine G Field
Journal:  Appl Environ Microbiol       Date:  2004-09       Impact factor: 4.792

8.  Traditional and molecular analyses for fecal indicator bacteria in non-point source subtropical recreational marine waters.

Authors:  Christopher D Sinigalliano; Jay M Fleisher; Maribeth L Gidley; Helena M Solo-Gabriele; Tomoyuki Shibata; Lisa R W Plano; Samir M Elmir; David Wanless; Jakub Bartkowiak; Rene Boiteau; Kelly Withum; Amir M Abdelzaher; Guoqing He; Cristina Ortega; Xiaofang Zhu; Mary E Wright; Jonathan Kish; Julie Hollenbeck; Troy Scott; Lorraine C Backer; Lora E Fleming
Journal:  Water Res       Date:  2010-04-29       Impact factor: 11.236

9.  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

10.  Use of Bifidobacterium dentium as an indicator of the origin of fecal water pollution.

Authors:  Yolanda Nebra; Xavier Bonjoch; Anicet R Blanch
Journal:  Appl Environ Microbiol       Date:  2003-05       Impact factor: 4.792

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