Literature DB >> 23123048

Effect of platform, reference material, and quantification model on enumeration of Enterococcus by quantitative PCR methods.

Yiping Cao1, Mano Sivaganesan, Julie Kinzelman, A Denene Blackwood, Rachel T Noble, Richard A Haugland, John F Griffith, Stephen B Weisberg.   

Abstract

Quantitative polymerase chain reaction (qPCR) is increasingly being used for the quantitative detection of fecal indicator bacteria in beach water. QPCR allows for same-day health warnings, and its application is being considered as an option for recreational water quality testing in the United States (USEPA, 2011. EPA-OW-2011-0466, FRL-9609-3, Notice of Availability of Draft Recreational Water Quality Criteria and Request for Scientific Views). However, transition of qPCR from a research tool to routine water quality testing requires information on how various method variations affect target enumeration. Here we compared qPCR performance and enumeration of enterococci in spiked and environmental water samples using three qPCR platforms (Applied Biosystem StepOnePlus™, the BioRad iQ™5 and the Cepheid SmartCycler(®) II), two reference materials (lyophilized cells and frozen cells on filters) and two comparative CT quantification models (ΔCT and ΔΔCT). Reference materials exerted the biggest influence, consistently affecting results by approximately 0.5 log(10) unit. Platform had the smallest effect, generally exerting <0.1 log(10) unit difference in final results. Quantification model led to small differences (0.04-0.2 log(10) unit) in this study with relatively uninhibited samples, but has the potential to cause as much as 8-fold (0.9 log(10) unit) difference in potentially inhibitory samples. Our findings indicate the need for a certified and centralized source of reference materials and additional studies to assess applicability of the quantification models in analyses of PCR inhibitory samples.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23123048     DOI: 10.1016/j.watres.2012.09.056

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


  8 in total

1.  Equivalence of influenza A virus RNA recovery from nasal swabs when lysing the swab and storage medium versus storage medium alone.

Authors:  Maya Nadimpalli; Nora Pisanic; Christopher D Heaney; Jill Stewart
Journal:  J Virol Methods       Date:  2015-02-25       Impact factor: 2.014

2.  Advancements in mitigating interference in quantitative polymerase chain reaction (qPCR) for microbial water quality monitoring.

Authors:  Sharon P Nappier; Audrey Ichida; Kirsten Jaglo; Rich Haugland; Kaedra R Jones
Journal:  Sci Total Environ       Date:  2019-03-16       Impact factor: 7.963

3.  Quantification of plasmid DNA standards for U.S. EPA fecal indicator bacteria qPCR methods by droplet digital PCR analysis.

Authors:  Mano Sivaganesan; Manju Varma; Shawn Siefring; Richard Haugland
Journal:  J Microbiol Methods       Date:  2018-07-11       Impact factor: 2.363

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.  A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters.

Authors:  Yiping Cao; Meredith R Raith; John F Griffith
Journal:  J Vis Exp       Date:  2016-03-09       Impact factor: 1.355

6.  Lessons learned from implementing a wet laboratory molecular training workshop for beach water quality monitoring.

Authors:  Marc Paul Verhougstraete; Sydney Brothers; Wayne Litaker; A Denene Blackwood; Rachel Noble
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

7.  Nanofluidic digital PCR for the quantification of Norovirus for water quality assessment.

Authors:  Silvia Monteiro; Ricardo Santos
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

8.  Detection and quantification of Verticillium dahliae and V. longisporum by droplet digital PCR versus quantitative real-time PCR.

Authors:  Di Wang; Xinya Jiao; Haijiang Jia; Shumei Cheng; Xi Jin; Youhua Wang; Yunhua Gao; Xiaofeng Su
Journal:  Front Cell Infect Microbiol       Date:  2022-08-22       Impact factor: 6.073

  8 in total

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