Literature DB >> 16751510

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

Matthew J Hamilton1, Tao Yan, Michael J Sadowsky.   

Abstract

The contamination of waterways with fecal material is a persistent threat to public health. Identification of the sources of fecal contamination is a vital component for abatement strategies and for determination of total maximum daily loads. While phenotypic and genotypic techniques have been used to determine potential sources of fecal bacteria in surface waters, most methods require construction of large known-source libraries, and they often fail to adequately differentiate among environmental isolates originating from different animal sources. In this study, we used pooled genomic tester and driver DNAs in suppression subtractive hybridizations to enrich for host source-specific DNA markers for Escherichia coli originating from locally isolated geese. Seven markers were identified. When used as probes in colony hybridization studies, the combined marker DNAs identified 76% of the goose isolates tested and cross-hybridized, on average, with 5% of the human E. coli strains and with less than 10% of the strains obtained from other animal hosts. In addition, the combined probes identified 73% of the duck isolates examined, suggesting that they may be useful for determining the contribution of waterfowl to fecal contamination. However, the hybridization probes reacted mainly with E. coli isolates obtained from geese in the upper midwestern United States, indicating that there is regional specificity of the markers identified. Coupled with high-throughput, automated macro- and microarray screening, these markers may provide a quantitative, cost-effective, and accurate library-independent method for determining the sources of genetically diverse E. coli strains for use in source-tracking studies. However, future efforts to generate DNA markers specific for E. coli must include isolates obtained from geographically diverse animal hosts.

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Year:  2006        PMID: 16751510      PMCID: PMC1489605          DOI: 10.1128/AEM.02764-05

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


  44 in total

1.  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

2.  A subtractive hybridisation analysis of genomic differences between the uropathogenic E. coli strain 536 and the E. coli K-12 strain MG1655.

Authors:  B Janke; U Dobrindt; J Hacker; G Blum-Oehler
Journal:  FEMS Microbiol Lett       Date:  2001-05-15       Impact factor: 2.742

3.  Microplate subtractive hybridization to enrich for bacteroidales genetic markers for fecal source identification.

Authors:  Linda K Dick; Michael T Simonich; Katharine G Field
Journal:  Appl Environ Microbiol       Date:  2005-06       Impact factor: 4.792

4.  Genetic Diversity in Bradyrhizobium japonicum Serogroup 123 and Its Relation to Genotype-Specific Nodulation of Soybean.

Authors:  M J Sadowsky; R E Tully; P B Cregan; H H Keyser
Journal:  Appl Environ Microbiol       Date:  1987-11       Impact factor: 4.792

5.  Human adenoviruses and coliphages in urban runoff-impacted coastal waters of Southern California.

Authors:  S Jiang; R Noble; W Chu
Journal:  Appl Environ Microbiol       Date:  2001-01       Impact factor: 4.792

6.  Identification by subtractive hybridization of a novel insertion element specific for two widespread Burkholderia cepacia genomovar III strains.

Authors:  Lixia Liu; Theodore Spilker; Tom Coenye; John J LiPuma
Journal:  J Clin Microbiol       Date:  2003-06       Impact factor: 5.948

7.  Viral pollution in the environment and in shellfish: human adenovirus detection by PCR as an index of human viruses.

Authors:  S Pina; M Puig; F Lucena; J Jofre; R Girones
Journal:  Appl Environ Microbiol       Date:  1998-09       Impact factor: 4.792

8.  Evaluation of microbial source tracking methods using mixed fecal sources in aqueous test samples.

Authors:  John F Griffith; Stephen B Weisberg; Charles D McGee
Journal:  J Water Health       Date:  2003-12       Impact factor: 1.744

9.  Deer diet affects ribotype diversity of Escherichia coli for bacterial source tracking.

Authors:  Peter G Hartel; Jacob D Summer; William I Segars
Journal:  Water Res       Date:  2003-07       Impact factor: 11.236

10.  Bovine enteroviruses as indicators of fecal contamination.

Authors:  Victoria Ley; James Higgins; Ronald Fayer
Journal:  Appl Environ Microbiol       Date:  2002-07       Impact factor: 4.792

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  11 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

Review 3.  Microbial source tracking using metagenomics and other new technologies.

Authors:  Shahbaz Raza; Jungman Kim; Michael J Sadowsky; Tatsuya Unno
Journal:  J Microbiol       Date:  2021-02-10       Impact factor: 3.422

4.  Lachnospiraceae and Bacteroidales alternative fecal indicators reveal chronic human sewage contamination in an urban harbor.

Authors:  Ryan J Newton; Jessica L Vandewalle; Mark A Borchardt; Marc H Gorelick; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2011-07-29       Impact factor: 4.792

5.  Genetic markers for rapid PCR-based identification of gull, Canada goose, duck, and chicken fecal contamination in water.

Authors:  Hyatt C Green; Linda K Dick; Brent Gilpin; Mansour Samadpour; Katharine G Field
Journal:  Appl Environ Microbiol       Date:  2011-11-11       Impact factor: 4.792

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

Authors:  Tao Yan; Matthew J Hamilton; Michael J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2006-12-08       Impact factor: 4.792

7.  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

8.  Quantitative PCR for detection and enumeration of genetic markers of bovine fecal pollution.

Authors:  Orin C Shanks; Emina Atikovic; A Denene Blackwood; Jingrang Lu; Rachel T Noble; Jorge Santo Domingo; Shawn Seifring; Mano Sivaganesan; Richard A Haugland
Journal:  Appl Environ Microbiol       Date:  2007-12-07       Impact factor: 4.792

9.  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

Review 10.  Discovering new indicators of fecal pollution.

Authors:  Sandra L McLellan; A Murat Eren
Journal:  Trends Microbiol       Date:  2014-09-05       Impact factor: 17.079

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