Literature DB >> 24610857

Improved HF183 quantitative real-time PCR assay for characterization of human fecal pollution in ambient surface water samples.

Hyatt C Green1, Richard A Haugland, Manju Varma, Hana T Millen, Mark A Borchardt, Katharine G Field, William A Walters, R Knight, Mano Sivaganesan, Catherine A Kelty, Orin C Shanks.   

Abstract

Quantitative real-time PCR (qPCR) assays that target the human-associated HF183 bacterial cluster within members of the genus Bacteroides are among the most widely used methods for the characterization of human fecal pollution in ambient surface waters. In this study, we show that a current TaqMan HF183 qPCR assay (HF183/BFDrev) routinely forms nonspecific amplification products and introduce a modified TaqMan assay (HF183/BacR287) that alleviates this problem. The performance of each qPCR assay was compared in head-to-head experiments investigating limits of detection, analytical precision, predicted hybridization to 16S rRNA gene sequences from a reference database, and relative marker concentrations in fecal and sewage samples. The performance of the modified HF183/BacR287 assay is equal to or improves upon that of the original HF183/BFDrev assay. In addition, a qPCR chemistry designed to combat amplification inhibition and a multiplexed internal amplification control are included. In light of the expanding use of PCR-based methods that rely on the detection of extremely low concentrations of DNA template, such as qPCR and digital PCR, the new TaqMan HF183/BacR287 assay should provide more accurate estimations of human-derived fecal contaminants in ambient surface waters.

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Year:  2014        PMID: 24610857      PMCID: PMC4018914          DOI: 10.1128/AEM.04137-13

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


  40 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.  Effectiveness of qPCR permutations, internal controls and dilution as means for minimizing the impact of inhibition while measuring Enterococcus in environmental waters.

Authors:  Y Cao; J F Griffith; S Dorevitch; S B Weisberg
Journal:  J Appl Microbiol       Date:  2012-05-08       Impact factor: 3.772

3.  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

4.  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

5.  Quantitative identification of fecal water pollution sources by TaqMan real-time PCR assays using Bacteroidales 16S rRNA genetic markers.

Authors:  Dae-Young Lee; Susan C Weir; Hung Lee; Jack T Trevors
Journal:  Appl Microbiol Biotechnol       Date:  2010-09-25       Impact factor: 4.813

6.  Evaluation of the repeatability and reproducibility of a suite of qPCR-based microbial source tracking methods.

Authors:  Darcy L Ebentier; Kaitlyn T Hanley; Yiping Cao; Brian D Badgley; Alexandria B Boehm; Jared S Ervin; Kelly D Goodwin; Michèle Gourmelon; John F Griffith; Patricia A Holden; Catherine A Kelty; Solen Lozach; Charles McGee; Lindsay A Peed; Meredith Raith; Hodon Ryu; Michael J Sadowsky; Elizabeth A Scott; Jorge Santo Domingo; Alexander Schriewer; Christopher D Sinigalliano; Orin C Shanks; Laurie C Van De Werfhorst; Dan Wang; Stefan Wuertz; Jennifer A Jay
Journal:  Water Res       Date:  2013-07-05       Impact factor: 11.236

7.  Influences of sample interference and interference controls on quantification of enterococci fecal indicator bacteria in surface water samples by the qPCR method.

Authors:  Richard A Haugland; Shawn Siefring; Jennifer Lavender; Manju Varma
Journal:  Water Res       Date:  2012-08-27       Impact factor: 11.236

8.  The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.

Authors:  Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

9.  A Bayesian method for calculating real-time quantitative PCR calibration curves using absolute plasmid DNA standards.

Authors:  Mano Sivaganesan; Shawn Seifring; Manju Varma; Richard A Haugland; Orin C Shanks
Journal:  BMC Bioinformatics       Date:  2008-02-25       Impact factor: 3.169

10.  SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB.

Authors:  Elmar Pruesse; Christian Quast; Katrin Knittel; Bernhard M Fuchs; Wolfgang Ludwig; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2007-10-18       Impact factor: 16.971

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  51 in total

1.  Quantitative CrAssphage PCR Assays for Human Fecal Pollution Measurement.

Authors:  Elyse Stachler; Catherine Kelty; Mano Sivaganesan; Xiang Li; Kyle Bibby; Orin C Shanks
Journal:  Environ Sci Technol       Date:  2017-07-25       Impact factor: 9.028

2.  Differential decomposition of bacterial and viral fecal indicators in common human pollution types.

Authors:  Pauline Wanjugi; Mano Sivaganesan; Asja Korajkic; Catherine A Kelty; Brian McMinn; Robert Ulrich; Valerie J Harwood; Orin C Shanks
Journal:  Water Res       Date:  2016-09-21       Impact factor: 11.236

3.  Data Acceptance Criteria for Standardized Human-Associated Fecal Source Identification Quantitative Real-Time PCR Methods.

Authors:  Orin C Shanks; Catherine A Kelty; Robin Oshiro; Richard A Haugland; Tania Madi; Lauren Brooks; Katharine G Field; Mano Sivaganesan
Journal:  Appl Environ Microbiol       Date:  2016-04-18       Impact factor: 4.792

4.  Microbial Source Tracking Using Quantitative and Digital PCR To Identify Sources of Fecal Contamination in Stormwater, River Water, and Beach Water in a Great Lakes Area of Concern.

Authors:  Zachery R Staley; Rachel J Boyd; Phoenix Shum; Thomas A Edge
Journal:  Appl Environ Microbiol       Date:  2018-10-01       Impact factor: 4.792

5.  Portable platform for rapid in-field identification of human fecal pollution in water.

Authors:  Yu Sherry Jiang; Timothy E Riedel; Jessica A Popoola; Barrett R Morrow; Sheng Cai; Andrew D Ellington; Sanchita Bhadra
Journal:  Water Res       Date:  2017-12-13       Impact factor: 11.236

6.  Urban wastewater bacterial communities assemble into seasonal steady states.

Authors:  Emily Lou LaMartina; Aurash A Mohaimani; Ryan J Newton
Journal:  Microbiome       Date:  2021-05-20       Impact factor: 14.650

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

Authors:  Brian R McMinn; Sara Klemm; Asja Korajkic; Kimberly M Wyatt; Michael P Herrmann; Richard A Haugland; Jingrang Lu; Eric N Villegas; Craig Frye
Journal:  Ecol Eng       Date:  2019       Impact factor: 4.035

8.  Viral and Bacterial Fecal Indicators in Untreated Wastewater across the Contiguous United States Exhibit Geospatial Trends.

Authors:  Asja Korajkic; Brian McMinn; Michael P Herrmann; Mano Sivaganesan; Catherine A Kelty; Pat Clinton; Maliha S Nash; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2020-04-01       Impact factor: 4.792

9.  Human-Associated Lachnospiraceae Genetic Markers Improve Detection of Fecal Pollution Sources in Urban Waters.

Authors:  Shuchen Feng; Melinda Bootsma; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2018-07-02       Impact factor: 4.792

10.  Human-Associated Bacteroides spp. and Human Polyomaviruses as Microbial Source Tracking Markers in Hawaii.

Authors:  Marek Kirs; Roberto A Caffaro-Filho; Mayee Wong; Valerie J Harwood; Philip Moravcik; Roger S Fujioka
Journal:  Appl Environ Microbiol       Date:  2016-10-27       Impact factor: 4.792

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