Literature DB >> 17582456

Identification of chicken-specific fecal microbial sequences using a metagenomic approach.

Jingrang Lu1, Jorge Santo Domingo, Orin C Shanks.   

Abstract

In this study, we applied a genome fragment enrichment (GFE) method to select for genomic regions that differ among different fecal metagenomes. Competitive DNA hybridizations were performed between chicken fecal DNA and pig fecal DNA (CP) and between chicken fecal DNA and an avian DNA composite consisting of turkey, goose, and seagull fecal DNA extracts (CB) to enrich for chicken-specific DNA fragments. A total of 471 non-redundant chicken metagenomic sequences were retrieved and analyzed. All of the clone sequences were similar to prokaryotic genes, of which more than 60% could not be assigned to previously characterized functional roles. In general terms, sequences assigned characterized functional roles were associated with cellular processes (11.7%), metabolism (11.0%) and information storage and processing (13.4%). Approximately 53% of the non-redundant sequences are similar to genes present in intestinal bacteria belonging to Clostridia (20.9%), Bacteroidetes (15.0%), and Bacilli (17.3%). Twenty-five sequences from the CP and CB clone libraries were selected to develop chicken fecal-specific PCR assays. These assays were challenged against fecal DNA extracted from 21 different animal species, including mammals and birds. The results from the host-specificity studies showed that 12 of the assays had a high degree of specificity to chicken feces. In addition, three assays were specific to chicken and turkey while another four assays tested positive to more than two avian species, suggesting a broader distribution of some of the enriched gene fragments among different avian fecal microbial communities. Fecal pollution signals were detected using chicken-specific assays in contaminated water samples, although the PCR assays showed different detection limits. These results indicate the need for multiple assays to detect poultry fecal sources of pollution. The competitive DNA hybridization approach used in this study can rapidly select for numerous chicken fecal metagenomic regions that can be used as potential genetic markers for fecal source tracking.

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Year:  2007        PMID: 17582456     DOI: 10.1016/j.watres.2007.05.033

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  17 in total

1.  Correlation of quantitative PCR for a poultry-specific brevibacterium marker gene with bacterial and chemical indicators of water pollution in a watershed impacted by land application of poultry litter.

Authors:  Jennifer L Weidhaas; Tamzen W Macbeth; Roger L Olsen; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2011-01-28       Impact factor: 4.792

2.  Metaproteomics analysis reveals the adaptation process for the chicken gut microbiota.

Authors:  Yue Tang; Anthony Underwood; Adriana Gielbert; Martin J Woodward; Liljana Petrovska
Journal:  Appl Environ Microbiol       Date:  2013-11-08       Impact factor: 4.792

3.  Tracking the primary sources of fecal pollution in a tropical watershed in a one-year study.

Authors:  Carlos Toledo-Hernandez; Hodon Ryu; Joel Gonzalez-Nieves; Evelyn Huertas; Gary A Toranzos; Jorge W Santo Domingo
Journal:  Appl Environ Microbiol       Date:  2013-01-04       Impact factor: 4.792

4.  Metagenomics in animal gastrointestinal ecosystem: a microbiological and biotechnological perspective.

Authors:  B Singh; T K Bhat; N P Kurade; O P Sharma
Journal:  Indian J Microbiol       Date:  2008-06-17       Impact factor: 2.461

5.  Influence of antimicrobial feed additives on broiler commensal posthatch gut microbiota development and performance.

Authors:  Valeria A Torok; Gwen E Allison; Nigel J Percy; Kathy Ophel-Keller; Robert J Hughes
Journal:  Appl Environ Microbiol       Date:  2011-03-25       Impact factor: 4.792

6.  Microbial quality of tropical inland waters and effects of rainfall events.

Authors:  Tasha M Santiago-Rodriguez; Raymond L Tremblay; Carlos Toledo-Hernandez; Joel E Gonzalez-Nieves; Hodon Ryu; Jorge W Santo Domingo; Gary A Toranzos
Journal:  Appl Environ Microbiol       Date:  2012-05-18       Impact factor: 4.792

7.  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

8.  Characterization of coastal urban watershed bacterial communities leads to alternative community-based indicators.

Authors:  Cindy H Wu; Bram Sercu; Laurie C Van de Werfhorst; Jakk Wong; Todd Z DeSantis; Eoin L Brodie; Terry C Hazen; Patricia A Holden; Gary L Andersen
Journal:  PLoS One       Date:  2010-06-23       Impact factor: 3.240

9.  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

10.  Phylogenetic diversity and molecular detection of bacteria in gull feces.

Authors:  Jingrang Lu; Jorge W Santo Domingo; Regina Lamendella; Thomas Edge; Stephen Hill
Journal:  Appl Environ Microbiol       Date:  2008-05-09       Impact factor: 4.792

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