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SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance
SARS-CoV-2 RNA quantification in wastewater is an important tool for monitoring the prevalence of COVID-19 disease on a community scale which complements case-based surveillance systems. As novel variants of concern (VOCs) emerge there is also a need to identify the primary circulating variants in a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110007/ https://www.ncbi.nlm.nih.gov/pubmed/35588817 http://dx.doi.org/10.1016/j.scitotenv.2022.155828 |
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author | Reynolds, Liam J. Gonzalez, Gabriel Sala-Comorera, Laura Martin, Niamh A. Byrne, Alannah Fennema, Sanne Holohan, Niamh Kuntamukkula, Sailusha Ratnam Sarwar, Natasha Nolan, Tristan M. Stephens, Jayne H. Whitty, Megan Bennett, Charlene Luu, Quynh Morley, Ursula Yandle, Zoe Dean, Jonathan Joyce, Eadaoin O'Sullivan, John J. Cuddihy, John M. McIntyre, Angeline M. Robinson, Eve P. Dahly, Darren Fletcher, Nicola F. Carr, Michael De Gascun, Cillian Meijer, Wim G. |
author_facet | Reynolds, Liam J. Gonzalez, Gabriel Sala-Comorera, Laura Martin, Niamh A. Byrne, Alannah Fennema, Sanne Holohan, Niamh Kuntamukkula, Sailusha Ratnam Sarwar, Natasha Nolan, Tristan M. Stephens, Jayne H. Whitty, Megan Bennett, Charlene Luu, Quynh Morley, Ursula Yandle, Zoe Dean, Jonathan Joyce, Eadaoin O'Sullivan, John J. Cuddihy, John M. McIntyre, Angeline M. Robinson, Eve P. Dahly, Darren Fletcher, Nicola F. Carr, Michael De Gascun, Cillian Meijer, Wim G. |
author_sort | Reynolds, Liam J. |
collection | PubMed |
description | SARS-CoV-2 RNA quantification in wastewater is an important tool for monitoring the prevalence of COVID-19 disease on a community scale which complements case-based surveillance systems. As novel variants of concern (VOCs) emerge there is also a need to identify the primary circulating variants in a community, accomplished to date by sequencing clinical samples. Quantifying variants in wastewater offers a cost-effective means to augment these sequencing efforts. In this study, SARS-CoV-2 N1 RNA concentrations and daily loadings were determined and compared to case-based data collected as part of a national surveillance programme to determine the validity of wastewater surveillance to monitor infection spread in the greater Dublin area. Further, sequencing of clinical samples was conducted to determine the primary SARS-CoV-2 lineages circulating in Dublin. Finally, digital PCR was employed to determine whether SARS-CoV-2 VOCs, Alpha and Delta, were quantifiable from wastewater. No lead or lag time was observed between SARS-CoV-2 wastewater and case-based data and SARS-CoV-2 trends in Dublin wastewater significantly correlated with the notification of confirmed cases through case-based surveillance preceding collection with a 5-day average. This demonstrates that viral RNA in Dublin's wastewater mirrors the spread of infection in the community. Clinical sequence data demonstrated that increased COVID-19 cases during Ireland's third wave coincided with the introduction of the Alpha variant, while the fourth wave coincided with increased prevalence of the Delta variant. Interestingly, the Alpha variant was detected in Dublin wastewater prior to the first genome being sequenced from clinical samples, while the Delta variant was identified at the same time in clinical and wastewater samples. This work demonstrates the validity of wastewater surveillance for monitoring SARS-CoV-2 infections and also highlights its effectiveness in identifying circulating variants which may prove useful when sequencing capacity is limited. |
format | Online Article Text |
id | pubmed-9110007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91100072022-05-17 SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance Reynolds, Liam J. Gonzalez, Gabriel Sala-Comorera, Laura Martin, Niamh A. Byrne, Alannah Fennema, Sanne Holohan, Niamh Kuntamukkula, Sailusha Ratnam Sarwar, Natasha Nolan, Tristan M. Stephens, Jayne H. Whitty, Megan Bennett, Charlene Luu, Quynh Morley, Ursula Yandle, Zoe Dean, Jonathan Joyce, Eadaoin O'Sullivan, John J. Cuddihy, John M. McIntyre, Angeline M. Robinson, Eve P. Dahly, Darren Fletcher, Nicola F. Carr, Michael De Gascun, Cillian Meijer, Wim G. Sci Total Environ Article SARS-CoV-2 RNA quantification in wastewater is an important tool for monitoring the prevalence of COVID-19 disease on a community scale which complements case-based surveillance systems. As novel variants of concern (VOCs) emerge there is also a need to identify the primary circulating variants in a community, accomplished to date by sequencing clinical samples. Quantifying variants in wastewater offers a cost-effective means to augment these sequencing efforts. In this study, SARS-CoV-2 N1 RNA concentrations and daily loadings were determined and compared to case-based data collected as part of a national surveillance programme to determine the validity of wastewater surveillance to monitor infection spread in the greater Dublin area. Further, sequencing of clinical samples was conducted to determine the primary SARS-CoV-2 lineages circulating in Dublin. Finally, digital PCR was employed to determine whether SARS-CoV-2 VOCs, Alpha and Delta, were quantifiable from wastewater. No lead or lag time was observed between SARS-CoV-2 wastewater and case-based data and SARS-CoV-2 trends in Dublin wastewater significantly correlated with the notification of confirmed cases through case-based surveillance preceding collection with a 5-day average. This demonstrates that viral RNA in Dublin's wastewater mirrors the spread of infection in the community. Clinical sequence data demonstrated that increased COVID-19 cases during Ireland's third wave coincided with the introduction of the Alpha variant, while the fourth wave coincided with increased prevalence of the Delta variant. Interestingly, the Alpha variant was detected in Dublin wastewater prior to the first genome being sequenced from clinical samples, while the Delta variant was identified at the same time in clinical and wastewater samples. This work demonstrates the validity of wastewater surveillance for monitoring SARS-CoV-2 infections and also highlights its effectiveness in identifying circulating variants which may prove useful when sequencing capacity is limited. The Authors. Published by Elsevier B.V. 2022-09-10 2022-05-16 /pmc/articles/PMC9110007/ /pubmed/35588817 http://dx.doi.org/10.1016/j.scitotenv.2022.155828 Text en © 2022 The Authors 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 | Article Reynolds, Liam J. Gonzalez, Gabriel Sala-Comorera, Laura Martin, Niamh A. Byrne, Alannah Fennema, Sanne Holohan, Niamh Kuntamukkula, Sailusha Ratnam Sarwar, Natasha Nolan, Tristan M. Stephens, Jayne H. Whitty, Megan Bennett, Charlene Luu, Quynh Morley, Ursula Yandle, Zoe Dean, Jonathan Joyce, Eadaoin O'Sullivan, John J. Cuddihy, John M. McIntyre, Angeline M. Robinson, Eve P. Dahly, Darren Fletcher, Nicola F. Carr, Michael De Gascun, Cillian Meijer, Wim G. SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance |
title | SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance |
title_full | SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance |
title_fullStr | SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance |
title_full_unstemmed | SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance |
title_short | SARS-CoV-2 variant trends in Ireland: Wastewater-based epidemiology and clinical surveillance |
title_sort | sars-cov-2 variant trends in ireland: wastewater-based epidemiology and clinical surveillance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110007/ https://www.ncbi.nlm.nih.gov/pubmed/35588817 http://dx.doi.org/10.1016/j.scitotenv.2022.155828 |
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