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Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for causing the COVID-19 pandemic, can be detected in untreated wastewater. Wastewater surveillance of SARS-CoV-2 complements clinical data by offering earlier community-level detection, removing underlying factors s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372435/ https://www.ncbi.nlm.nih.gov/pubmed/34438144 http://dx.doi.org/10.1016/j.scitotenv.2021.149691 |
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author | Swift, Candice L. Isanovic, Mirza Correa Velez, Karlen E. Norman, R. Sean |
author_facet | Swift, Candice L. Isanovic, Mirza Correa Velez, Karlen E. Norman, R. Sean |
author_sort | Swift, Candice L. |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for causing the COVID-19 pandemic, can be detected in untreated wastewater. Wastewater surveillance of SARS-CoV-2 complements clinical data by offering earlier community-level detection, removing underlying factors such as access to healthcare, sampling asymptomatic patients, and reaching a greater population. Here, we compare 24-hour composite samples from the influents of two different wastewater treatment plants (WWTPs) in South Carolina, USA: Columbia and Rock Hill. The sampling intervals span the months of July 2020 and January 2021, which cover the first and second waves of elevated SARS-CoV-2 transmission and COVID-19 clinical cases in these regions. We identify four signature mutations in the surface glycoprotein (spike) gene that are associated with the following variants of interest or concern, VOI or VOC (listed in parenthesis): S477N (B.1.526, Iota), T478K (B.1.617.2, Delta), D614G (present in all VOC as of May 2021), and H655Y (P.1, Gamma). The N501Y mutation, which is associated with three variants of concern, was identified in samples from July 2020, but not detected in January 2021 samples. Comparison of mutations identified in viral sequence databases such as NCBI Virus and GISAID indicated that wastewater sampling detected mutations that were present in South Carolina, but not reflected in the clinical data deposited into databases. |
format | Online Article Text |
id | pubmed-8372435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83724352021-08-18 Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling Swift, Candice L. Isanovic, Mirza Correa Velez, Karlen E. Norman, R. Sean Sci Total Environ Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for causing the COVID-19 pandemic, can be detected in untreated wastewater. Wastewater surveillance of SARS-CoV-2 complements clinical data by offering earlier community-level detection, removing underlying factors such as access to healthcare, sampling asymptomatic patients, and reaching a greater population. Here, we compare 24-hour composite samples from the influents of two different wastewater treatment plants (WWTPs) in South Carolina, USA: Columbia and Rock Hill. The sampling intervals span the months of July 2020 and January 2021, which cover the first and second waves of elevated SARS-CoV-2 transmission and COVID-19 clinical cases in these regions. We identify four signature mutations in the surface glycoprotein (spike) gene that are associated with the following variants of interest or concern, VOI or VOC (listed in parenthesis): S477N (B.1.526, Iota), T478K (B.1.617.2, Delta), D614G (present in all VOC as of May 2021), and H655Y (P.1, Gamma). The N501Y mutation, which is associated with three variants of concern, was identified in samples from July 2020, but not detected in January 2021 samples. Comparison of mutations identified in viral sequence databases such as NCBI Virus and GISAID indicated that wastewater sampling detected mutations that were present in South Carolina, but not reflected in the clinical data deposited into databases. Elsevier B.V. 2021-12-20 2021-08-18 /pmc/articles/PMC8372435/ /pubmed/34438144 http://dx.doi.org/10.1016/j.scitotenv.2021.149691 Text en © 2021 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 Swift, Candice L. Isanovic, Mirza Correa Velez, Karlen E. Norman, R. Sean Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling |
title | Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling |
title_full | Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling |
title_fullStr | Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling |
title_full_unstemmed | Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling |
title_short | Community-level SARS-CoV-2 sequence diversity revealed by wastewater sampling |
title_sort | community-level sars-cov-2 sequence diversity revealed by wastewater sampling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372435/ https://www.ncbi.nlm.nih.gov/pubmed/34438144 http://dx.doi.org/10.1016/j.scitotenv.2021.149691 |
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