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Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence
In the absence of an effective vaccine to prevent COVID-19 it is important to be able to track community infections to inform public health interventions aimed at reducing the spread and therefore reduce pressures on health-care, improve health outcomes and reduce economic uncertainty. Wastewater su...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583624/ https://www.ncbi.nlm.nih.gov/pubmed/33137526 http://dx.doi.org/10.1016/j.watres.2020.116560 |
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author | D'Aoust, Patrick M. Mercier, Elisabeth Montpetit, Danika Jia, Jian-Jun Alexandrov, Ilya Neault, Nafisa Baig, Aiman Tariq Mayne, Janice Zhang, Xu Alain, Tommy Langlois, Marc-André Servos, Mark R. MacKenzie, Malcolm Figeys, Daniel MacKenzie, Alex E. Graber, Tyson E. Delatolla, Robert |
author_facet | D'Aoust, Patrick M. Mercier, Elisabeth Montpetit, Danika Jia, Jian-Jun Alexandrov, Ilya Neault, Nafisa Baig, Aiman Tariq Mayne, Janice Zhang, Xu Alain, Tommy Langlois, Marc-André Servos, Mark R. MacKenzie, Malcolm Figeys, Daniel MacKenzie, Alex E. Graber, Tyson E. Delatolla, Robert |
author_sort | D'Aoust, Patrick M. |
collection | PubMed |
description | In the absence of an effective vaccine to prevent COVID-19 it is important to be able to track community infections to inform public health interventions aimed at reducing the spread and therefore reduce pressures on health-care, improve health outcomes and reduce economic uncertainty. Wastewater surveillance has rapidly emerged as a potential tool to effectively monitor community infections through measuring trends of RNA signal in wastewater systems. In this study SARS-CoV-2 viral RNA N1 and N2 gene regions are quantified in solids collected from influent post grit solids (PGS) and primary clarified sludge (PCS) in two water resource recovery facilities (WRRF) serving Canada's national capital region, i.e., the City of Ottawa, ON (pop. ≈ 1.1M) and the City of Gatineau, QC (pop. ≈ 280K). PCS samples show signal inhibition using RT-ddPCR compared to RT-qPCR, with PGS samples showing similar quantifiable concentrations of RNA using both assays. RT-qPCR shows higher frequency of detection of N1 and N2 gene regions in PCS (92.7, 90.6%, n = 6) as compared to PGS samples (79.2, 82.3%, n = 5). Sampling of PCS may therefore be an effective approach for SARS-CoV-2 viral quantification, especially during periods of declining and low COVID-19 incidence in the community. The pepper mild mottle virus (PMMoV) is determined to have a less variable RNA signal in PCS over a three month period for two WRRFs, regardless of environmental conditions, compared to Bacteroides 16S rRNA or human 18S rRNA, making PMMoV a potentially useful biomarker for normalization of SARS-CoV-2 signal. PMMoV-normalized PCS RNA signal from WRRFs of two cities correlated with the regional public health epidemiological metrics, identifying PCS normalized to a fecal indicator (PMMoV) as a potentially effective tool for monitoring trends during decreasing and low-incidence of infection of SARS-Cov-2 in communities. |
format | Online Article Text |
id | pubmed-7583624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75836242020-10-26 Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence D'Aoust, Patrick M. Mercier, Elisabeth Montpetit, Danika Jia, Jian-Jun Alexandrov, Ilya Neault, Nafisa Baig, Aiman Tariq Mayne, Janice Zhang, Xu Alain, Tommy Langlois, Marc-André Servos, Mark R. MacKenzie, Malcolm Figeys, Daniel MacKenzie, Alex E. Graber, Tyson E. Delatolla, Robert Water Res Article In the absence of an effective vaccine to prevent COVID-19 it is important to be able to track community infections to inform public health interventions aimed at reducing the spread and therefore reduce pressures on health-care, improve health outcomes and reduce economic uncertainty. Wastewater surveillance has rapidly emerged as a potential tool to effectively monitor community infections through measuring trends of RNA signal in wastewater systems. In this study SARS-CoV-2 viral RNA N1 and N2 gene regions are quantified in solids collected from influent post grit solids (PGS) and primary clarified sludge (PCS) in two water resource recovery facilities (WRRF) serving Canada's national capital region, i.e., the City of Ottawa, ON (pop. ≈ 1.1M) and the City of Gatineau, QC (pop. ≈ 280K). PCS samples show signal inhibition using RT-ddPCR compared to RT-qPCR, with PGS samples showing similar quantifiable concentrations of RNA using both assays. RT-qPCR shows higher frequency of detection of N1 and N2 gene regions in PCS (92.7, 90.6%, n = 6) as compared to PGS samples (79.2, 82.3%, n = 5). Sampling of PCS may therefore be an effective approach for SARS-CoV-2 viral quantification, especially during periods of declining and low COVID-19 incidence in the community. The pepper mild mottle virus (PMMoV) is determined to have a less variable RNA signal in PCS over a three month period for two WRRFs, regardless of environmental conditions, compared to Bacteroides 16S rRNA or human 18S rRNA, making PMMoV a potentially useful biomarker for normalization of SARS-CoV-2 signal. PMMoV-normalized PCS RNA signal from WRRFs of two cities correlated with the regional public health epidemiological metrics, identifying PCS normalized to a fecal indicator (PMMoV) as a potentially effective tool for monitoring trends during decreasing and low-incidence of infection of SARS-Cov-2 in communities. Elsevier Ltd. 2021-01-01 2020-10-23 /pmc/articles/PMC7583624/ /pubmed/33137526 http://dx.doi.org/10.1016/j.watres.2020.116560 Text en © 2020 Elsevier Ltd. All rights reserved. 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 D'Aoust, Patrick M. Mercier, Elisabeth Montpetit, Danika Jia, Jian-Jun Alexandrov, Ilya Neault, Nafisa Baig, Aiman Tariq Mayne, Janice Zhang, Xu Alain, Tommy Langlois, Marc-André Servos, Mark R. MacKenzie, Malcolm Figeys, Daniel MacKenzie, Alex E. Graber, Tyson E. Delatolla, Robert Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence |
title | Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence |
title_full | Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence |
title_fullStr | Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence |
title_full_unstemmed | Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence |
title_short | Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence |
title_sort | quantitative analysis of sars-cov-2 rna from wastewater solids in communities with low covid-19 incidence and prevalence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583624/ https://www.ncbi.nlm.nih.gov/pubmed/33137526 http://dx.doi.org/10.1016/j.watres.2020.116560 |
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