tetano
Editor, Senior Moderator
Water Res
. 2021 Aug 5;203:117516.
doi: 10.1016/j.watres.2021.117516. Online ahead of print.
Variability in RT-qPCR assay parameters indicates unreliable SARS-CoV-2 RNA quantification for wastewater surveillance
Aaron Bivins[SUP] 1 [/SUP], Devrim Kaya[SUP] 2 [/SUP], Kyle Bibby[SUP] 1 [/SUP], Stuart L Simpson[SUP] 3 [/SUP], Stephen A Bustin[SUP] 4 [/SUP], Orin C Shanks[SUP] 5 [/SUP], Warish Ahmed[SUP] 6 [/SUP]
Affiliations
Abstract
Due to the coronavirus disease 2019 (COVID-19) pandemic, wastewater surveillance has become an important tool for monitoring the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within communities. In particular, reverse transcription-quantitative PCR (RT-qPCR) has been used to generate large datasets aimed at detecting and quantifying SARS-CoV-2 RNA in wastewater. Although RT-qPCR is rapid and sensitive, there is no standard method yet, there are no certified quantification standards, and experiments are conducted using different assays, reagents, instruments, and data analysis protocols. These variations can induce errors in quantitative data reports, thereby potentially misleading interpretations, and conclusions. We review the SARS-CoV-2 wastewater surveillance literature focusing on variability of RT-qPCR data as revealed by inconsistent standard curves and associated parameters. We find that variation in these parameters and deviations from best practices, as described in the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines suggest a frequent lack of reproducibility and reliability in quantitative measurements of SARS-CoV-2 RNA in wastewater.
Keywords: RT-qPCR; assay validity; quality assurance; quality control; standard curve; wastewater surveillance.
. 2021 Aug 5;203:117516.
doi: 10.1016/j.watres.2021.117516. Online ahead of print.
Variability in RT-qPCR assay parameters indicates unreliable SARS-CoV-2 RNA quantification for wastewater surveillance
Aaron Bivins[SUP] 1 [/SUP], Devrim Kaya[SUP] 2 [/SUP], Kyle Bibby[SUP] 1 [/SUP], Stuart L Simpson[SUP] 3 [/SUP], Stephen A Bustin[SUP] 4 [/SUP], Orin C Shanks[SUP] 5 [/SUP], Warish Ahmed[SUP] 6 [/SUP]
Affiliations
- PMID: 34412018
- DOI: 10.1016/j.watres.2021.117516
Abstract
Due to the coronavirus disease 2019 (COVID-19) pandemic, wastewater surveillance has become an important tool for monitoring the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within communities. In particular, reverse transcription-quantitative PCR (RT-qPCR) has been used to generate large datasets aimed at detecting and quantifying SARS-CoV-2 RNA in wastewater. Although RT-qPCR is rapid and sensitive, there is no standard method yet, there are no certified quantification standards, and experiments are conducted using different assays, reagents, instruments, and data analysis protocols. These variations can induce errors in quantitative data reports, thereby potentially misleading interpretations, and conclusions. We review the SARS-CoV-2 wastewater surveillance literature focusing on variability of RT-qPCR data as revealed by inconsistent standard curves and associated parameters. We find that variation in these parameters and deviations from best practices, as described in the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines suggest a frequent lack of reproducibility and reliability in quantitative measurements of SARS-CoV-2 RNA in wastewater.
Keywords: RT-qPCR; assay validity; quality assurance; quality control; standard curve; wastewater surveillance.