Please use this identifier to cite or link to this item: http://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, Sílvia
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: http://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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