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Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance

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 Respira...

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Autores principales: 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 Chanditha, 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., Payyappat, Sudhi, Petterson, Susan, Pitkänen, Tarja, Rajal, Veronica B., Reyneke, Brandon, Roman, Fernando A., Rose, Joan B., Rusiñol, Marta, Sadowsky, Michael J., Sala-Comorera, Laura, Setoh, Yin Xiang, 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., Wong, Judith Chui Ching, Sano, Daisuke, Wuertz, Stefan, Xagoraraki, Irene, Zhang, Qian, Zimmer-Faust, Amity G., Shanks, Orin C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386095/
https://www.ncbi.nlm.nih.gov/pubmed/34818780
http://dx.doi.org/10.1016/j.scitotenv.2021.149877
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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 Chanditha
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.
Payyappat, Sudhi
Petterson, Susan
Pitkänen, Tarja
Rajal, Veronica B.
Reyneke, Brandon
Roman, Fernando A.
Rose, Joan B.
Rusiñol, Marta
Sadowsky, Michael J.
Sala-Comorera, Laura
Setoh, Yin Xiang
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.
Wong, Judith Chui Ching
Sano, Daisuke
Wuertz, Stefan
Xagoraraki, Irene
Zhang, Qian
Zimmer-Faust, Amity G.
Shanks, Orin C.
author_facet 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 Chanditha
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.
Payyappat, Sudhi
Petterson, Susan
Pitkänen, Tarja
Rajal, Veronica B.
Reyneke, Brandon
Roman, Fernando A.
Rose, Joan B.
Rusiñol, Marta
Sadowsky, Michael J.
Sala-Comorera, Laura
Setoh, Yin Xiang
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.
Wong, Judith Chui Ching
Sano, Daisuke
Wuertz, Stefan
Xagoraraki, Irene
Zhang, Qian
Zimmer-Faust, Amity G.
Shanks, Orin C.
author_sort Ahmed, Warish
collection PubMed
description 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) in wastewater can potentially provide an early warning 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 in wastewater, 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, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current 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.
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spelling pubmed-83860952021-08-25 Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance 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 Chanditha 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. Payyappat, Sudhi Petterson, Susan Pitkänen, Tarja Rajal, Veronica B. Reyneke, Brandon Roman, Fernando A. Rose, Joan B. Rusiñol, Marta Sadowsky, Michael J. Sala-Comorera, Laura Setoh, Yin Xiang 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. Wong, Judith Chui Ching Sano, Daisuke Wuertz, Stefan Xagoraraki, Irene Zhang, Qian Zimmer-Faust, Amity G. Shanks, Orin C. Sci Total Environ Review 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) in wastewater can potentially provide an early warning 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 in wastewater, 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, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current 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. Published by Elsevier B.V. 2022-01-20 2021-08-25 /pmc/articles/PMC8386095/ /pubmed/34818780 http://dx.doi.org/10.1016/j.scitotenv.2021.149877 Text en Crown Copyright © 2021 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Review
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 Chanditha
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.
Payyappat, Sudhi
Petterson, Susan
Pitkänen, Tarja
Rajal, Veronica B.
Reyneke, Brandon
Roman, Fernando A.
Rose, Joan B.
Rusiñol, Marta
Sadowsky, Michael J.
Sala-Comorera, Laura
Setoh, Yin Xiang
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.
Wong, Judith Chui Ching
Sano, Daisuke
Wuertz, Stefan
Xagoraraki, Irene
Zhang, Qian
Zimmer-Faust, Amity G.
Shanks, Orin C.
Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance
title Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance
title_full Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance
title_fullStr Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance
title_full_unstemmed Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance
title_short Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance
title_sort minimizing errors in rt-pcr detection and quantification of sars-cov-2 rna for wastewater surveillance
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386095/
https://www.ncbi.nlm.nih.gov/pubmed/34818780
http://dx.doi.org/10.1016/j.scitotenv.2021.149877
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