Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater Surveillance
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.18/7884 |
Resumo: | Wastewater surveillance for pathogens using the reverse transcription-polymerase chain reaction (RT-PCR) is an effective, resource-efficient tool for gathering additional community-level public health information, including the incidence and/or prevalence and trends of coronavirus disease-19 (COVID-19). Surveillance of SARS-CoV-2 in wastewater may 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 rapidly increasing. However, there are no standardized protocols nor 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 lead to false-positive and -negative errors in the surveillance of SARS-CoV-2, culminating in recommendations and strategies that can be implemented to identify and mitigate these errors. Recommendations include, stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, amplification 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 during a low incidence of SARS-CoV-2 in wastewater. Corrective and confirmatory actions must be in place for inconclusive and/or potentially significant results (e.g., initial onset or reemergence of COVID-19 in a community). It will also be prudent to perform inter-laboratory comparisons to ensure results are reliable and interpretable for ongoing and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance was demonstrated during this global crisis. In the future, wastewater will play an important role in the surveillance of a range of other communicable diseases. |
id |
RCAP_d103ed8c29865727ffed0423393c2af0 |
---|---|
oai_identifier_str |
oai:repositorio.insa.pt:10400.18/7884 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater SurveillanceCOVID-19SARS-CoV-2WastewaterSurveillanceFalse-positiveFalse-negativeRT-PCRWastewater surveillance for pathogens using the reverse transcription-polymerase chain reaction (RT-PCR) is an effective, resource-efficient tool for gathering additional community-level public health information, including the incidence and/or prevalence and trends of coronavirus disease-19 (COVID-19). Surveillance of SARS-CoV-2 in wastewater may 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 rapidly increasing. However, there are no standardized protocols nor 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 lead to false-positive and -negative errors in the surveillance of SARS-CoV-2, culminating in recommendations and strategies that can be implemented to identify and mitigate these errors. Recommendations include, stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, amplification 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 during a low incidence of SARS-CoV-2 in wastewater. Corrective and confirmatory actions must be in place for inconclusive and/or potentially significant results (e.g., initial onset or reemergence of COVID-19 in a community). It will also be prudent to perform inter-laboratory comparisons to ensure results are reliable and interpretable for ongoing and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance was demonstrated during this global crisis. In the future, wastewater will play an important role in the surveillance of a range of other communicable diseases.Highlights: Harmonized QA/QC procedures for SARS-CoV-2 wastewater surveillance are lacking; Wastewater analysis protocols are not optimized for trace analysis of viruses; False-positive and -negative errors have consequences for public health responses; Inter-laboratory studies utilizing standardized reference materials and protocols are needed.ElsevierRepositório Científico do Instituto Nacional de SaúdeAhmed, WarishSimpson, StuartBertsch, PaulBibby, KyleBivins, AaronBlackall, LindaBofill-Mas, SilviaBosch, AlbertBrandao, JoaoChoi, PhilCiesielski, MarkDonner, EricaD'Souza, NishitaFarnleitner, AndreasGerrity, DanielGonzalez, RaulGriffith, JohnGyawali, PradipHaas, CharlesHamilton, KerryHapuarachchi, ChandithaHarwood, ValerieHaque, RehnumaJackson, GregKhan, StuartKhan, WesaalKitajima, MasaakiKorajkic, AsjaLa Rosa, GiuseppinaLayton, BlytheLipp, ErinMcLellan, SandraMcMinn, BrianMedema, GertjanMetcalfe, SuzanneMeijer, WimMueller, JochenMurphy, HeatherNaughton, ColleenNoble, RachelPayyappat, SudhiPetterson, SusanPitkanen, TarjaRajal, VeronicaReyneke, BrandonRoman, FernandoRose, JoanRusinol, MartaSadowsky, MichaelSala-Comorera, LauraSetoh, Yin XiangSherchan, SamendraSirikanchana, KwanraweeSmith, WendySteele, JoshuaSabburg, RosalieSymonds, ErinThai, PhongThomas, KevinTynan, JoshToze, SimonThompson, JanelleWhiteley, AndyWong, JudithSano, DaisukeWuertz, StefanXagoraraki, IreneZhang, QianZimmer-Faust, AmityShanks, Orin2022-01-27T17:40:16Z2021-08-252021-08-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10400.18/7884engSci Total Environ. 2022 Jan 20;805:149877. doi: 10.1016/j.scitotenv.2021.149877. Epub 2021 Aug 25. Review1879-102610.1016/j.scitotenv.2021.149877info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:42:09Zoai:repositorio.insa.pt:10400.18/7884Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:42:19.575015Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater Surveillance Ahmed, Warish COVID-19 SARS-CoV-2 Wastewater Surveillance False-positive False-negative RT-PCR |
title_short |
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_sort |
Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater Surveillance |
author |
Ahmed, Warish |
author_facet |
Ahmed, Warish Simpson, Stuart Bertsch, Paul Bibby, Kyle Bivins, Aaron Blackall, Linda Bofill-Mas, Silvia Bosch, Albert Brandao, Joao Choi, Phil Ciesielski, Mark Donner, Erica D'Souza, Nishita Farnleitner, Andreas Gerrity, Daniel Gonzalez, Raul Griffith, John Gyawali, Pradip Haas, Charles Hamilton, Kerry Hapuarachchi, Chanditha Harwood, Valerie Haque, Rehnuma Jackson, Greg Khan, Stuart Khan, Wesaal Kitajima, Masaaki Korajkic, Asja La Rosa, Giuseppina Layton, Blythe Lipp, Erin McLellan, Sandra McMinn, Brian Medema, Gertjan Metcalfe, Suzanne Meijer, Wim Mueller, Jochen Murphy, Heather Naughton, Colleen Noble, Rachel Payyappat, Sudhi Petterson, Susan Pitkanen, Tarja Rajal, Veronica Reyneke, Brandon Roman, Fernando Rose, Joan Rusinol, Marta Sadowsky, Michael Sala-Comorera, Laura Setoh, Yin Xiang Sherchan, Samendra Sirikanchana, Kwanrawee Smith, Wendy Steele, Joshua Sabburg, Rosalie Symonds, Erin Thai, Phong Thomas, Kevin Tynan, Josh Toze, Simon Thompson, Janelle Whiteley, Andy Wong, Judith Sano, Daisuke Wuertz, Stefan Xagoraraki, Irene Zhang, Qian Zimmer-Faust, Amity Shanks, Orin |
author_role |
author |
author2 |
Simpson, Stuart Bertsch, Paul Bibby, Kyle Bivins, Aaron Blackall, Linda Bofill-Mas, Silvia Bosch, Albert Brandao, Joao Choi, Phil Ciesielski, Mark Donner, Erica D'Souza, Nishita Farnleitner, Andreas Gerrity, Daniel Gonzalez, Raul Griffith, John Gyawali, Pradip Haas, Charles Hamilton, Kerry Hapuarachchi, Chanditha Harwood, Valerie Haque, Rehnuma Jackson, Greg Khan, Stuart Khan, Wesaal Kitajima, Masaaki Korajkic, Asja La Rosa, Giuseppina Layton, Blythe Lipp, Erin McLellan, Sandra McMinn, Brian Medema, Gertjan Metcalfe, Suzanne Meijer, Wim Mueller, Jochen Murphy, Heather Naughton, Colleen Noble, Rachel Payyappat, Sudhi Petterson, Susan Pitkanen, Tarja Rajal, Veronica Reyneke, Brandon Roman, Fernando Rose, Joan Rusinol, Marta Sadowsky, Michael Sala-Comorera, Laura Setoh, Yin Xiang Sherchan, Samendra Sirikanchana, Kwanrawee Smith, Wendy Steele, Joshua Sabburg, Rosalie Symonds, Erin Thai, Phong Thomas, Kevin Tynan, Josh Toze, Simon Thompson, Janelle Whiteley, Andy Wong, Judith Sano, Daisuke Wuertz, Stefan Xagoraraki, Irene Zhang, Qian Zimmer-Faust, Amity Shanks, Orin |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Nacional de Saúde |
dc.contributor.author.fl_str_mv |
Ahmed, Warish Simpson, Stuart Bertsch, Paul Bibby, Kyle Bivins, Aaron Blackall, Linda Bofill-Mas, Silvia Bosch, Albert Brandao, Joao Choi, Phil Ciesielski, Mark Donner, Erica D'Souza, Nishita Farnleitner, Andreas Gerrity, Daniel Gonzalez, Raul Griffith, John Gyawali, Pradip Haas, Charles Hamilton, Kerry Hapuarachchi, Chanditha Harwood, Valerie Haque, Rehnuma Jackson, Greg Khan, Stuart Khan, Wesaal Kitajima, Masaaki Korajkic, Asja La Rosa, Giuseppina Layton, Blythe Lipp, Erin McLellan, Sandra McMinn, Brian Medema, Gertjan Metcalfe, Suzanne Meijer, Wim Mueller, Jochen Murphy, Heather Naughton, Colleen Noble, Rachel Payyappat, Sudhi Petterson, Susan Pitkanen, Tarja Rajal, Veronica Reyneke, Brandon Roman, Fernando Rose, Joan Rusinol, Marta Sadowsky, Michael Sala-Comorera, Laura Setoh, Yin Xiang Sherchan, Samendra Sirikanchana, Kwanrawee Smith, Wendy Steele, Joshua Sabburg, Rosalie Symonds, Erin Thai, Phong Thomas, Kevin Tynan, Josh Toze, Simon Thompson, Janelle Whiteley, Andy Wong, Judith Sano, Daisuke Wuertz, Stefan Xagoraraki, Irene Zhang, Qian Zimmer-Faust, Amity Shanks, Orin |
dc.subject.por.fl_str_mv |
COVID-19 SARS-CoV-2 Wastewater Surveillance False-positive False-negative RT-PCR |
topic |
COVID-19 SARS-CoV-2 Wastewater Surveillance False-positive False-negative RT-PCR |
description |
Wastewater surveillance for pathogens using the reverse transcription-polymerase chain reaction (RT-PCR) is an effective, resource-efficient tool for gathering additional community-level public health information, including the incidence and/or prevalence and trends of coronavirus disease-19 (COVID-19). Surveillance of SARS-CoV-2 in wastewater may 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 rapidly increasing. However, there are no standardized protocols nor 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 lead to false-positive and -negative errors in the surveillance of SARS-CoV-2, culminating in recommendations and strategies that can be implemented to identify and mitigate these errors. Recommendations include, stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, amplification 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 during a low incidence of SARS-CoV-2 in wastewater. Corrective and confirmatory actions must be in place for inconclusive and/or potentially significant results (e.g., initial onset or reemergence of COVID-19 in a community). It will also be prudent to perform inter-laboratory comparisons to ensure results are reliable and interpretable for ongoing and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance was demonstrated during this global crisis. In the future, wastewater will play an important role in the surveillance of a range of other communicable diseases. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-25 2021-08-25T00:00:00Z 2022-01-27T17:40:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.18/7884 |
url |
http://hdl.handle.net/10400.18/7884 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sci Total Environ. 2022 Jan 20;805:149877. doi: 10.1016/j.scitotenv.2021.149877. Epub 2021 Aug 25. Review 1879-1026 10.1016/j.scitotenv.2021.149877 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799132168249671680 |