Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/194389
Title: | Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance |
Author: | Ahmed, Warish Simpson, Stuart L. Bertsch, Paul M. Bibby, Kyle Bivins, Aaron Blackall, Linda L. Bofill Mas, Silvia Bosch, Albert Brandão, João Choi, Phil M. Ciesielski, Mark Donner, Erica D'Souza, Nishita Farnleitner, Andreas H. Gerrity, Daniel Gonzalez, Raul Griffith, John F. Gyawali, Pradip Haas, Charles N. Hamilton, Kerry A. Hapuarachchi, Hapuarachchige C. Harwood, Valerie J. Haque, Rehnuma Jackson, Greg Khan, Stuart J. Khan, Wesaal Kitajima, Masaaki Korajkic, Asja La Rosa, Giuseppina Layton, Blythe A. Lipp, Erin McLellan, Sandra L. McMinn, Brian Medema, Gertjan Metcalfe, Suzanne Meijer, Wim G. Mueller, Jochen F. Murphy, Heather Naughton, Coleen C. Noble, Rachel T. Payyappa, Sudhi Petterson, Susan Pitkänen, Tarja Rajal, Veronica B. Reyneke, Brandon Roman Jr, Fernando A. Rose, Joan B. Rusiñol, Marta Sadowsky, Michael J. Sala Comorera, Laura Xiang Setoh, Yin Sherchan, Samendra P. Sirikanchana, Kwanrawee Smith, Wendy Steele, Joshua A. Sabburg, Rosalie Symonds, Erin M. Thai, Phong Thomas, Kevin V. Tynan, Josh Toze, Simon Thompson, Janelle Whiteley , Andy S. Chui Ching Wong, Judith Sano, Daisuke Wuertz, Stefan Xagoraraki, Irene Zhang, Qian Zimmer Faust, Amity G. Shanks, Orin C. |
Keywords: | SARS-CoV-2 COVID-19 Aigües residuals Epidemiologia SARS-CoV-2 COVID-19 Sewage Epidemiology |
Issue Date: | 20-Jan-2022 |
Publisher: | Elsevier B.V. |
Abstract: | Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) inwastewater can potentially provide an earlywarning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA inwastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularlywhen the incidence of SARS-CoV-2 inwastewater is low. Corrective and confirmatory actionsmust be in place for inconclusive results or results diverging fromcurrent trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases. |
Note: | Reproducció del document publicat a: https://doi.org/10.1016/j.scitotenv.2021.149877 |
It is part of: | Science of the Total Environment, 2022, vol. 805, num. 149877 |
URI: | https://hdl.handle.net/2445/194389 |
Related resource: | https://doi.org/10.1016/j.scitotenv.2021.149877 |
ISSN: | 0048-9697 |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
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