Literature DB >> 22081573

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

Hyatt C Green1, Linda K Dick, Brent Gilpin, Mansour Samadpour, Katharine G Field.   

Abstract

Avian feces contaminate waterways but contribute fewer human pathogens than human sources. Rapid identification and quantification of avian contamination would therefore be useful to prevent overestimation of human health risk. We used subtractive hybridization of PCR-amplified gull fecal 16S RNA genes to identify avian-specific fecal rRNA gene sequences. The subtracters were rRNA genes amplified from human, dog, cat, cow, and pig feces. Recovered sequences were related to Enterobacteriaceae (47%), Helicobacter (26%), Catellicoccus (11%), Fusobacterium (11%), and Campylobacter (5%). Three PCR assays, designated GFB, GFC, and GFD, were based on recovered sequence fragments. Quantitative PCR assays for GFC and GFD were developed using SYBR green. GFC detected down to 0.1 mg gull feces/100 ml (corresponding to 2 gull enterococci most probable number [MPN]/100 ml). GFD detected down to 0.1 mg chicken feces/100 ml (corresponding to 13 Escherichia coli MPN/100 ml). GFB and GFC were 97% and 94% specific to gulls, respectively. GFC cross-reacted with 35% of sheep samples but occurred at about 100,000 times lower concentrations in sheep. GFD was 100% avian specific and occurred in gulls, geese, chickens, and ducks. In the United States, Canada, and New Zealand, the three markers differed in their geographic distributions but were found across the range tested. These assays detected four important bird groups contributing to fecal contamination of waterways: gulls, geese, ducks, and chickens. Marker distributions across North America and in New Zealand suggest that they will have broad applicability in other parts of the world as well.

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Year:  2011        PMID: 22081573      PMCID: PMC3255751          DOI: 10.1128/AEM.05734-11

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


  53 in total

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

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

Authors:  Linda K Dick; Michael T Simonich; Katharine G Field
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3.  An investigation of salmonella bacteria in waterfowls and migratory birds in Norway.

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Review 4.  Avian influenza viruses in wild birds: a moving target.

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5.  Assessing pathogen risk to swimmers at non-sewage impacted recreational beaches.

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6.  Survey of parasites and bacterial pathogens from free-living waterfowl in zoological settings.

Authors:  Dawn M Fallacara; Clifton M Monahan; Teresa Y Morishita; Catherine A Bremer; Raymond F Wack
Journal:  Avian Dis       Date:  2004-12       Impact factor: 1.577

7.  Community structures of fecal bacteria in cattle from different animal feeding operations.

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Journal:  Appl Environ Microbiol       Date:  2011-03-04       Impact factor: 4.792

8.  Quantitative real-time PCR assays for sensitive detection of Canada goose-specific fecal pollution in water sources.

Authors:  B Fremaux; T Boa; C K Yost
Journal:  Appl Environ Microbiol       Date:  2010-05-28       Impact factor: 4.792

9.  Enumeration and antibiotic resistance patterns of fecal indicator organisms isolated from migratory Canada geese (Branta canadensis).

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Journal:  J Wildl Dis       Date:  2005-04       Impact factor: 1.535

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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2.  Rainwater harvesting in American Samoa: current practices and indicative health risks.

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3.  A Constructed Wetland for Treatment of an Impacted Waterway and the Influence of Native Waterfowl on its Perceived Effectiveness.

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4.  Level of contamination in the feces of several species at major inland pollution sources in the drainage basin of Yeoja Bay, Republic of Korea.

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5.  Identification of Specialists and Abundance-Occupancy Relationships among Intestinal Bacteria of Aves, Mammalia, and Actinopterygii.

Authors:  Hyatt C Green; Jenny C Fisher; Sandra L McLellan; Mitchell L Sogin; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2015-12-28       Impact factor: 4.792

6.  Identifying avian sources of faecal contamination using sterol analysis.

Authors:  Megan L Devane; David Wood; Andrew Chappell; Beth Robson; Jenny Webster-Brown; Brent J Gilpin
Journal:  Environ Monit Assess       Date:  2015-09-14       Impact factor: 2.513

7.  Fecal pollution source characterization at non-point source impacted beaches under dry and wet weather conditions.

Authors:  Abhilasha Shrestha; Catherine A Kelty; Mano Sivaganesan; Orin C Shanks; Samuel Dorevitch
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8.  Evidence of Avian and Possum Fecal Contamination in Rainwater Tanks as Determined by Microbial Source Tracking Approaches.

Authors:  W Ahmed; K A Hamilton; P Gyawali; S Toze; C N Haas
Journal:  Appl Environ Microbiol       Date:  2016-06-30       Impact factor: 4.792

9.  Coherence among different microbial source tracking markers in a small agricultural stream with or without livestock exclusion practices.

Authors:  Graham Wilkes; Julie Brassard; Thomas A Edge; Victor Gannon; Cassandra C Jokinen; Tineke H Jones; Romain Marti; Norman F Neumann; Norma J Ruecker; Mark Sunohara; Edward Topp; David R Lapen
Journal:  Appl Environ Microbiol       Date:  2013-08-02       Impact factor: 4.792

10.  Toolbox Approaches Using Molecular Markers and 16S rRNA Gene Amplicon Data Sets for Identification of Fecal Pollution in Surface Water.

Authors:  W Ahmed; C Staley; M J Sadowsky; P Gyawali; J P S Sidhu; A Palmer; D J Beale; S Toze
Journal:  Appl Environ Microbiol       Date:  2015-07-31       Impact factor: 4.792

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