Literature DB >> 17158618

High-throughput and quantitative procedure for determining sources of Escherichia coli in waterways by using host-specific DNA marker genes.

Tao Yan1, Matthew J Hamilton, Michael J Sadowsky.   

Abstract

Escherichia coli is currently used as an indicator of fecal pollution and to assess water quality. While several genotypic techniques have been used to determine potential sources of fecal bacteria impacting waterways and beaches, they do not allow for the rapid analysis of a large number of samples in a relatively short period of time. Here we report that gene probes identified by Hamilton and colleagues (M. J. Hamilton, T. Yan, and M. J. Sadowsky, Appl. Environ. Microbiol. 72:4012-4019, 2006) were useful for the development of a high-throughput and quantitative macroarray hybridization system to determine numbers of E. coli bacteria originating from geese/ducks. The procedure we developed, using a QBot robot for picking and arraying of colonies, allowed us to simultaneously analyze up to 20,736 E. coli colonies from water samples, with minimal time and human input. Statistically significant results were obtained by analyzing 700 E. coli colonies per water sample, allowing for the analysis of approximately 30 sites per macroarray. Macroarray hybridization studies done on E. coli collected from water samples obtained from two urban Minnesota lakes and one rural South Carolina lake indicated that geese/ducks contributed up to 51% of the fecal bacteria in the urban lake water samples, and the level was below the detection limit in the rural lake water sample. This technique, coupled with the use of other host source-specific gene probes, holds great promise as a new quantitative microbial source tracking tool to rapidly determine the origins of E. coli in waterways and on beaches.

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Year:  2006        PMID: 17158618      PMCID: PMC1800753          DOI: 10.1128/AEM.01395-06

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


  35 in total

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

Authors:  A E Bernhard; K G Field
Journal:  Appl Environ Microbiol       Date:  2000-04       Impact factor: 4.792

2.  Classification of antibiotic resistance patterns of indicator bacteria by discriminant analysis: use in predicting the source of fecal contamination in subtropical waters.

Authors:  V J Harwood; J Whitlock; V Withington
Journal:  Appl Environ Microbiol       Date:  2000-09       Impact factor: 4.792

3.  Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations.

Authors:  M L Lee; F C Kuo; G A Whitmore; J Sklar
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

4.  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

5.  Use of repetitive DNA sequences and the PCR To differentiate Escherichia coli isolates from human and animal sources.

Authors:  P E Dombek; L K Johnson; S T Zimmerley; M J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2000-06       Impact factor: 4.792

6.  Development of goose- and duck-specific DNA markers to determine sources of Escherichia coli in waterways.

Authors:  Matthew J Hamilton; Tao Yan; Michael J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

7.  Competitive metagenomic DNA hybridization identifies host-specific microbial genetic markers in cow fecal samples.

Authors:  Orin C Shanks; Jorge W Santo Domingo; Regina Lamendella; Catherine A Kelty; James E Graham
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

8.  The Fnr regulon of Bacillus subtilis.

Authors:  Heike Reents; Richard Münch; Thorben Dammeyer; Dieter Jahn; Elisabeth Härtig
Journal:  J Bacteriol       Date:  2006-02       Impact factor: 3.490

9.  Evaluation of antibiotic resistance analysis and ribotyping for identification of faecal pollution sources in an urban watershed.

Authors:  D F Moore; V J Harwood; D M Ferguson; J Lukasik; P Hannah; M Getrich; M Brownell
Journal:  J Appl Microbiol       Date:  2005       Impact factor: 3.772

10.  A biomarker for the identification of cattle fecal pollution in water using the LTIIa toxin gene from enterotoxigenic Escherichia coli.

Authors:  L A Khatib; Y L Tsai; B H Olson
Journal:  Appl Microbiol Biotechnol       Date:  2002-04-16       Impact factor: 4.813

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  6 in total

1.  Large scale analysis of virulence genes in Escherichia coli strains isolated from Avalon Bay, CA.

Authors:  Matthew J Hamilton; Asbah Z Hadi; John F Griffith; Satoshi Ishii; Michael J Sadowsky
Journal:  Water Res       Date:  2010-06-30       Impact factor: 11.236

2.  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

3.  Preliminary Source Tracking of Male-Specific (F+) RNA Coliphage on Lettuce as a Surrogate of Enteric Viruses Using Reverse Transcription-PCR.

Authors:  Mojgan Yazdi; Masoud Yavarmanesh; Masumeh Bahreini; Mohebbat Mohebbi
Journal:  Food Environ Virol       Date:  2016-11-04       Impact factor: 2.778

4.  Microbial diversity and host-specific sequences of Canada goose feces.

Authors:  Jingrang Lu; Jorge W Santo Domingo; Stephen Hill; Thomas A Edge
Journal:  Appl Environ Microbiol       Date:  2009-07-24       Impact factor: 4.792

5.  Prevalence of Escherichia coli in surface waters of Southeast Asian cities.

Authors:  Kenneth Widmer; Nguyen Thi Van Ha; Soydoa Vinitnantharat; Suthipong Sthiannopkao; Setiawan Wangsaatmaja; Maria Angela Novi Prasetiati; Nguyen Cong Thanh; Kasame Thepnoo; Arief Dhany Sutadian; Huynh Thi Thanh Thao; Deby Fapyane; Vibol San; Pierangeli Vital; Hor-Gil Hur
Journal:  World J Microbiol Biotechnol       Date:  2013-05-22       Impact factor: 3.312

6.  Microcystin-LR does not induce alterations to transcriptomic or metabolomic profiles of a model heterotrophic bacterium.

Authors:  Robbie M Martin; Stephen P Dearth; Gary R LeCleir; Shawn R Campagna; Elizabeth M Fozo; Erik R Zinser; Steven W Wilhelm
Journal:  PLoS One       Date:  2017-12-14       Impact factor: 3.240

  6 in total

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