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Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities
Monitoring the communal incidence of COVID-19 is important for both government and residents of an area to make informed decisions. However, continuous reliance on one means of monitoring might not be accurate because of biases introduced by government policies or behaviours of residents. Wastewater...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212401/ https://www.ncbi.nlm.nih.gov/pubmed/35716745 http://dx.doi.org/10.1016/j.scitotenv.2022.156741 |
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author | Oloye, Femi F. Xie, Yuwei Asadi, Mohsen Cantin, Jenna Challis, Jonathan K. Brinkmann, Markus McPhedran, Kerry N. Kristian, Kevin Keller, Mark Sadowski, Mike Jones, Paul D. Landgraff, Chrystal Mangat, Chand Fuzzen, Meghan Servos, Mark R. Giesy, John P. |
author_facet | Oloye, Femi F. Xie, Yuwei Asadi, Mohsen Cantin, Jenna Challis, Jonathan K. Brinkmann, Markus McPhedran, Kerry N. Kristian, Kevin Keller, Mark Sadowski, Mike Jones, Paul D. Landgraff, Chrystal Mangat, Chand Fuzzen, Meghan Servos, Mark R. Giesy, John P. |
author_sort | Oloye, Femi F. |
collection | PubMed |
description | Monitoring the communal incidence of COVID-19 is important for both government and residents of an area to make informed decisions. However, continuous reliance on one means of monitoring might not be accurate because of biases introduced by government policies or behaviours of residents. Wastewater surveillance was employed to monitor concentrations of SARS-CoV-2 RNA in raw influent wastewater from wastewater treatment plants serving three Canadian Prairie cities with different population sizes. Data obtained from wastewater are not directly influenced by government regulations or behaviours of individuals. The means of three weekly samples collected using 24 h composite auto-samplers were determined. Viral loads were determined by RT-qPCR, and whole-genome sequencing was used to charaterize variants of concern (VOC). The dominant VOCs in the three cities were the same but with different proportions of sub-lineages. Sub-lineages of Delta were AY.12, AY.25, AY.27 and AY.93 in 2021, while the major sub-lineage of Omicron was BA.1 in January 2022, and BA.2 subsequently became a trace-level sub-variant then the predominant VOC. When each VOC was first detected varied among cities; However, Saskatoon, with the largest population, was always the first to present new VOCs. Viral loads varied among cities, but there was no direct correlation with population size, possibly because of differences in flow regimes. Population is one of the factors that affects trends in onset and development of local outbreaks during the pandemic. This might be due to demography or the fact that larger populations had greater potential for inter- and intra-country migration. Hence, wastewater surveillance data from larger cities can typically be used to indicate what to expect in smaller communities. |
format | Online Article Text |
id | pubmed-9212401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92124012022-06-22 Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities Oloye, Femi F. Xie, Yuwei Asadi, Mohsen Cantin, Jenna Challis, Jonathan K. Brinkmann, Markus McPhedran, Kerry N. Kristian, Kevin Keller, Mark Sadowski, Mike Jones, Paul D. Landgraff, Chrystal Mangat, Chand Fuzzen, Meghan Servos, Mark R. Giesy, John P. Sci Total Environ Article Monitoring the communal incidence of COVID-19 is important for both government and residents of an area to make informed decisions. However, continuous reliance on one means of monitoring might not be accurate because of biases introduced by government policies or behaviours of residents. Wastewater surveillance was employed to monitor concentrations of SARS-CoV-2 RNA in raw influent wastewater from wastewater treatment plants serving three Canadian Prairie cities with different population sizes. Data obtained from wastewater are not directly influenced by government regulations or behaviours of individuals. The means of three weekly samples collected using 24 h composite auto-samplers were determined. Viral loads were determined by RT-qPCR, and whole-genome sequencing was used to charaterize variants of concern (VOC). The dominant VOCs in the three cities were the same but with different proportions of sub-lineages. Sub-lineages of Delta were AY.12, AY.25, AY.27 and AY.93 in 2021, while the major sub-lineage of Omicron was BA.1 in January 2022, and BA.2 subsequently became a trace-level sub-variant then the predominant VOC. When each VOC was first detected varied among cities; However, Saskatoon, with the largest population, was always the first to present new VOCs. Viral loads varied among cities, but there was no direct correlation with population size, possibly because of differences in flow regimes. Population is one of the factors that affects trends in onset and development of local outbreaks during the pandemic. This might be due to demography or the fact that larger populations had greater potential for inter- and intra-country migration. Hence, wastewater surveillance data from larger cities can typically be used to indicate what to expect in smaller communities. Published by Elsevier B.V. 2022-10-01 2022-06-16 /pmc/articles/PMC9212401/ /pubmed/35716745 http://dx.doi.org/10.1016/j.scitotenv.2022.156741 Text en Crown Copyright © 2022 Published by Elsevier B.V. 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 Oloye, Femi F. Xie, Yuwei Asadi, Mohsen Cantin, Jenna Challis, Jonathan K. Brinkmann, Markus McPhedran, Kerry N. Kristian, Kevin Keller, Mark Sadowski, Mike Jones, Paul D. Landgraff, Chrystal Mangat, Chand Fuzzen, Meghan Servos, Mark R. Giesy, John P. Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities |
title | Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities |
title_full | Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities |
title_fullStr | Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities |
title_full_unstemmed | Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities |
title_short | Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities |
title_sort | rapid transition between sars-cov-2 variants of concern delta and omicron detected by monitoring municipal wastewater from three canadian cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212401/ https://www.ncbi.nlm.nih.gov/pubmed/35716745 http://dx.doi.org/10.1016/j.scitotenv.2022.156741 |
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