Literature DB >> 20061457

Performance assessment PCR-based assays targeting bacteroidales genetic markers of bovine fecal pollution.

Orin C Shanks1, Karen White, Catherine A Kelty, Sam Hayes, Mano Sivaganesan, Michael Jenkins, Manju Varma, Richard A Haugland.   

Abstract

There are numerous PCR-based assays available to characterize bovine fecal pollution in ambient waters. The determination of which approaches are most suitable for field applications can be difficult because each assay targets a different gene, in many cases from different microorganisms, leading to variation in assay performance. We describe a performance evaluation of seven end-point PCR and real-time quantitative PCR (qPCR) assays reported to be associated with either ruminant or bovine feces. Each assay was tested against a reference collection of DNA extracts from 247 individual bovine fecal samples representing 11 different populations and 175 fecal DNA extracts from 24 different animal species. Bovine-associated genetic markers were broadly distributed among individual bovine samples ranging from 39 to 93%. Specificity levels of the assays spanned 47.4% to 100%. End-point PCR sensitivity also varied between assays and among different bovine populations. For qPCR assays, the abundance of each host-associated genetic marker was measured within each bovine population and compared to results of a qPCR assay targeting 16S rRNA gene sequences from Bacteroidales. Experiments indicate large discrepancies in the performance of bovine-associated assays across different bovine populations. Variability in assay performance between host populations suggests that the use of bovine microbial source-tracking applications will require a priori characterization at each watershed of interest.

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Year:  2010        PMID: 20061457      PMCID: PMC2832389          DOI: 10.1128/AEM.02033-09

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


  27 in total

1.  Efficiencies of fluorescence resonance energy transfer and contact-mediated quenching in oligonucleotide probes.

Authors:  Salvatore A E Marras; Fred Russell Kramer; Sanjay Tyagi
Journal:  Nucleic Acids Res       Date:  2002-11-01       Impact factor: 16.971

2.  Development of Bacteroides 16S rRNA gene TaqMan-based real-time PCR assays for estimation of total, human, and bovine fecal pollution in water.

Authors:  Alice Layton; Larry McKay; Dan Williams; Victoria Garrett; Randall Gentry; Gary Sayler
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

3.  Quantification of host-specific Bacteroides-Prevotella 16S rRNA genetic markers for assessment of fecal pollution in freshwater.

Authors:  Satoshi Okabe; Noriko Okayama; Olga Savichtcheva; Tsukasa Ito
Journal:  Appl Microbiol Biotechnol       Date:  2006-12-01       Impact factor: 4.813

4.  A discrete, stochastic model and correction method for bacterial source tracking.

Authors:  Mark D Leach; Shira L Broschat; Douglas R Call
Journal:  Environ Sci Technol       Date:  2008-01-15       Impact factor: 9.028

5.  Effect of monensin and lasalocid-sodium on the growth of methanogenic and rumen saccharolytic bacteria.

Authors:  M Chen; M J Wolin
Journal:  Appl Environ Microbiol       Date:  1979-07       Impact factor: 4.792

6.  Survey of bovine enterovirus in biological and environmental samples by a highly sensitive real-time reverse transcription-PCR.

Authors:  Miguel Angel Jiménez-Clavero; Estela Escribano-Romero; Carmen Mansilla; Nuria Gómez; Laura Córdoba; Neftal Roblas; Fernando Ponz; Victoria Ley; Juan-Carlos Sáiz
Journal:  Appl Environ Microbiol       Date:  2005-07       Impact factor: 4.792

Review 7.  Influence of acidosis on rumen function.

Authors:  L L Slyter
Journal:  J Anim Sci       Date:  1976-10       Impact factor: 3.159

8.  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

9.  16S rRNA-based assays for quantitative detection of universal, human-, cow-, and dog-specific fecal Bacteroidales: a Bayesian approach.

Authors:  Beverly J Kildare; Christian M Leutenegger; Belinda S McSwain; Dustin G Bambic; Veronica B Rajal; Stefan Wuertz
Journal:  Water Res       Date:  2007-06-21       Impact factor: 11.236

10.  Estimation of the relative abundance of different Bacteroides and Prevotella ribotypes in gut samples by restriction enzyme profiling of PCR-amplified 16S rRNA gene sequences.

Authors:  J Wood; K P Scott; G Avgustin; C J Newbold; H J Flint
Journal:  Appl Environ Microbiol       Date:  1998-10       Impact factor: 4.792

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  14 in total

1.  Distribution of genetic marker concentrations for fecal indicator bacteria in sewage and animal feces.

Authors:  Catherine A Kelty; Manju Varma; Mano Sivaganesan; Richard A Haugland; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2012-04-13       Impact factor: 4.792

2.  Evaluation of bovine feces-associated microbial source tracking markers and their correlations with fecal indicators and zoonotic pathogens in a Brisbane, Australia, reservoir.

Authors:  W Ahmed; T Sritharan; A Palmer; J P S Sidhu; S Toze
Journal:  Appl Environ Microbiol       Date:  2013-02-15       Impact factor: 4.792

3.  Decay of bacterial pathogens, fecal indicators, and real-time quantitative PCR genetic markers in manure-amended soils.

Authors:  Shane W Rogers; Matthew Donnelly; Lindsay Peed; Catherine A Kelty; Sumona Mondal; Zirong Zhong; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2011-06-03       Impact factor: 4.792

4.  Detection of known and novel adenoviruses in cattle wastes via broad-spectrum primers.

Authors:  Samuel D Sibley; Tony L Goldberg; Joel A Pedersen
Journal:  Appl Environ Microbiol       Date:  2011-05-27       Impact factor: 4.792

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

Authors:  Orin C Shanks; Catherine A Kelty; Shawn Archibeque; Michael Jenkins; Ryan J Newton; Sandra L McLellan; Susan M Huse; Mitchell L Sogin
Journal:  Appl Environ Microbiol       Date:  2011-03-04       Impact factor: 4.792

6.  Microbial Source Tracking as a Method of Determination of Beach Sand Contamination.

Authors:  Elisabete Valério; Maria Leonor Santos; Pedro Teixeira; Ricardo Matias; João Mendonça; Warish Ahmed; João Brandão
Journal:  Int J Environ Res Public Health       Date:  2022-06-28       Impact factor: 4.614

7.  Age-related shifts in the density and distribution of genetic marker water quality indicators in cow and calf feces.

Authors:  Orin C Shanks; Catherine A Kelty; Lindsay Peed; Mano Sivaganesan; Thomas Mooney; Michael Jenkins
Journal:  Appl Environ Microbiol       Date:  2013-12-20       Impact factor: 4.792

8.  Biotic interactions and sunlight affect persistence of fecal indicator bacteria and microbial source tracking genetic markers in the upper Mississippi river.

Authors:  Asja Korajkic; Brian R McMinn; Orin C Shanks; Mano Sivaganesan; G Shay Fout; Nicholas J Ashbolt
Journal:  Appl Environ Microbiol       Date:  2014-04-18       Impact factor: 4.792

Review 9.  Next-generation sequencing (NGS) for assessment of microbial water quality: current progress, challenges, and future opportunities.

Authors:  BoonFei Tan; Charmaine Ng; Jean Pierre Nshimyimana; Lay Leng Loh; Karina Y-H Gin; Janelle R Thompson
Journal:  Front Microbiol       Date:  2015-09-25       Impact factor: 5.640

10.  Performance characteristics of qPCR assays targeting human- and ruminant-associated bacteroidetes for microbial source tracking across sixteen countries on six continents.

Authors:  Georg H Reischer; James E Ebdon; Johanna M Bauer; Nathalie Schuster; Warish Ahmed; Johan Aström; Anicet R Blanch; Günter Blöschl; Denis Byamukama; Tricia Coakley; Christobel Ferguson; Goraw Goshu; Gwangpyo Ko; Ana Maria de Roda Husman; Douglas Mushi; Ramiro Poma; Bandana Pradhan; Veronica Rajal; Margit A Schade; Regina Sommer; Huw Taylor; Erika M Toth; Virgil Vrajmasu; Stefan Wuertz; Robert L Mach; Andreas H Farnleitner
Journal:  Environ Sci Technol       Date:  2013-07-10       Impact factor: 9.028

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