Literature DB >> 30017849

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

Mano Sivaganesan1, Manju Varma2, Shawn Siefring2, Richard Haugland3.   

Abstract

An obstacle to establishing widely useful data acceptance criteria for U.S. Environmental Protection Agency (EPA) qPCR methods has been the unavailability of standardized reference materials. Earlier versions of EPA Methods 1609 and 1611 for enterococci used cellular reference materials for quantifying enterococci in unknown test samples, however, EPA updates to these fundamentally DNA-based analysis methods have shifted toward the use of DNA standards. This report describes the application of droplet digital PCR (ddPCR) analysis for the quantification of a set of synthetic plasmid DNA standards that have been made available for updated EPA Methods 1609.1 and 1611.1 as well as for EPA Draft Method C for Escherichia coli. To obtain the most accurate concentration estimates possible, part of this effort was to develop a data analysis model for determining the fluorescence thresholds that distinguish positive from negative droplets produced by the ddPCR reactions. Versions of this model are described for applications with individual reactions, multiple reactions within a ddPCR system run, and multiple reactions within and across different system runs. The latter version was applied toward determinations of error in the concentration estimates of the standards from replicate analyses of each standard in multiple ddPCR system runs. Mean concentration estimates for the five standards from the ddPCR analyses were 4.356, 3.381, 2.371, 1.641 and 1.071 log10 copies/5 μL with associated standard deviations of 0.074, 0.082, 0.108, 0.131 and 0.188, respectively. These estimates contrasted with expected log10 concentrations of 4.6, 3.6, 2.6, 1.9 and 1.3 copies/5 μL, respectively, based on the yield of the plasmid reported by the vendor and spectrophotometric analysis of the initial stock solution of this material. These results illustrate how the analyses of original stocks may lead to potential bias(es) in the concentration estimates of final DNA standards and subsequently in the estimates of unknown test samples determined from these standards in qPCR analyses. Published by Elsevier B.V.

Entities:  

Keywords:  DNA standards; Digital droplet PCR; EPA Methods 1609.1 and 1611.1; QPCR

Mesh:

Substances:

Year:  2018        PMID: 30017849      PMCID: PMC6555558          DOI: 10.1016/j.mimet.2018.07.005

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  15 in total

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

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9.  Highly precise measurement of HIV DNA by droplet digital PCR.

Authors:  Matthew C Strain; Steven M Lada; Tiffany Luong; Steffney E Rought; Sara Gianella; Valeri H Terry; Celsa A Spina; Christopher H Woelk; Douglas D Richman
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

10.  Low copy target detection by Droplet Digital PCR through application of a novel open access bioinformatic pipeline, 'definetherain'.

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1.  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

2.  Large-scale comparison of E. coli levels determined by culture and a qPCR method (EPA Draft Method C) in Michigan towards the implementation of rapid, multi-site beach testing.

Authors:  Richard Haugland; Kevin Oshima; Mano Sivaganesan; Alfred Dufour; Manju Varma; Shawn Siefring; Sharon Nappier; Brian Schnitker; Shannon Briggs
Journal:  J Microbiol Methods       Date:  2021-03-22       Impact factor: 2.363

3.  Simplified Analysis of Measurement Data from A Rapid E. coli qPCR Method (EPA Draft Method C) Using A Standardized Excel Workbook.

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Journal:  Water (Basel)       Date:  2020-03-11       Impact factor: 3.103

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