Literature DB >> 23911226

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

Darcy L Ebentier1, 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.   

Abstract

Many PCR-based methods for microbial source tracking (MST) have been developed and validated within individual research laboratories. Inter-laboratory validation of these methods, however, has been minimal, and the effects of protocol standardization regimes have not been thoroughly evaluated. Knowledge of factors influencing PCR in different laboratories is vital to future technology transfer for use of MST methods as a tool for water quality management. In this study, a blinded set of 64 filters (containing 32 duplicate samples generated from 12 composite fecal sources) were analyzed by three to five core laboratories with a suite of PCR-based methods utilizing standardized reagents and protocols. Repeatability (intra-laboratory variability) and reproducibility (inter-laboratory variability) of observed results were assessed. When standardized methodologies were used, intra- and inter-laboratory %CVs were generally low (median %CV 0.1-3.3% and 1.9-7.1%, respectively) and comparable to those observed in similar inter-laboratory validation studies performed on other methods of quantifying fecal indicator bacteria (FIB) in environmental samples. ANOVA of %CV values found three human-associated methods (BsteriF1, BacHum, and HF183Taqman) to be similarly reproducible (p > 0.05) and significantly more reproducible (p < 0.05) than HumM2. This was attributed to the increased variability associated with low target concentrations detected by HumM2 (approximately 1-2 log10copies/filter lower) compared to other human-associated methods. Cow-associated methods (BacCow and CowM2) were similarly reproducible (p > 0.05). When using standardized protocols, variance component analysis indicated sample type (fecal source and concentration) to be the major contributor to total variability with that from replicate filters and inter-laboratory analysis to be within the same order of magnitude but larger than inherent intra-laboratory variability. However, when reagents and protocols were not standardized, inter-laboratory %CV generally increased with a corresponding decline in reproducibility. Overall, these findings verify the repeatability and reproducibility of these MST methods and highlight the need for standardization of protocols and consumables prior to implementation of larger scale MST studies involving multiple laboratories.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fecal pollution; Microbial source tracking; Repeatability; Reproducibility; qPCR

Mesh:

Year:  2013        PMID: 23911226     DOI: 10.1016/j.watres.2013.01.060

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


  13 in total

1.  Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs.

Authors:  Aaron Jastrow; Denise A Gordon; Kasie M Auger; Elizabeth C Punska; Kathleen F Arcaro; Kristen Keteles; Dana Winkelman; David Lattier; Adam Biales; James M Lazorchak
Journal:  Environ Toxicol Chem       Date:  2017-08-14       Impact factor: 3.742

2.  Distribution of human-specific bacteroidales and fecal indicator bacteria in an urban watershed impacted by sewage pollution, determined using RNA- and DNA-based quantitative PCR assays.

Authors:  Vikram Kapoor; Tarja Pitkänen; Hodon Ryu; Michael Elk; David Wendell; Jorge W Santo Domingo
Journal:  Appl Environ Microbiol       Date:  2014-10-17       Impact factor: 4.792

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.  Air-sampled Filter Analysis for Endotoxins and DNA Content.

Authors:  Naama Lang-Yona; Yinon Mazar; Michal Pardo; Yinon Rudich
Journal:  J Vis Exp       Date:  2016-03-07       Impact factor: 1.355

5.  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

6.  Enterococcal Concentrations in a Coastal Ecosystem Are a Function of Fecal Source Input, Environmental Conditions, and Environmental Sources.

Authors:  Derek Rothenheber; Stephen Jones
Journal:  Appl Environ Microbiol       Date:  2018-08-17       Impact factor: 4.792

Review 7.  Discovering new indicators of fecal pollution.

Authors:  Sandra L McLellan; A Murat Eren
Journal:  Trends Microbiol       Date:  2014-09-05       Impact factor: 17.079

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

Authors:  Hyatt C Green; 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
Journal:  Appl Environ Microbiol       Date:  2014-03-07       Impact factor: 4.792

9.  Regional Assessment of Human Fecal Contamination in Southern California Coastal Drainages.

Authors:  Yiping Cao; Meredith R Raith; Paul D Smith; John F Griffith; Stephen B Weisberg; Alexander Schriewer; Andrew Sheldon; Chris Crompton; Geremew G Amenu; Jason Gregory; Joe Guzman; Kelly D Goodwin; Laila Othman; Mayela Manasjan; Samuel Choi; Shana Rapoport; Syreeta Steele; Tommy Nguyen; Xueyuan Yu
Journal:  Int J Environ Res Public Health       Date:  2017-08-04       Impact factor: 3.390

10.  Quantitative detection of fecal contamination with domestic poultry feces in environments in China.

Authors:  Fang-Fang Zhuang; Hu Li; Xin-Yuan Zhou; Yong-Guan Zhu; Jian-Qiang Su
Journal:  AMB Express       Date:  2017-04-14       Impact factor: 3.298

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