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Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel
Investigation of SARS-CoV-2 spread and identification of variants in sewers has been demonstrated to accurately detect prevalence of viral strains and is advantageous to clinical sampling in population catchment size. Herein, we utilized an established nationwide system of wastewater sampling and vi...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142738/ https://www.ncbi.nlm.nih.gov/pubmed/34323811 http://dx.doi.org/10.1016/j.scitotenv.2021.148002 |
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author | Bar-Or, Itay Weil, Merav Indenbaum, Victoria Bucris, Efrat Bar-Ilan, Dana Elul, Michal Levi, Nofar Aguvaev, Irina Cohen, Zvi Shirazi, Rachel Erster, Oran Sela-Brown, Alin Sofer, Danit Mor, Orna Mendelson, Ella Zuckerman, Neta S. |
author_facet | Bar-Or, Itay Weil, Merav Indenbaum, Victoria Bucris, Efrat Bar-Ilan, Dana Elul, Michal Levi, Nofar Aguvaev, Irina Cohen, Zvi Shirazi, Rachel Erster, Oran Sela-Brown, Alin Sofer, Danit Mor, Orna Mendelson, Ella Zuckerman, Neta S. |
author_sort | Bar-Or, Itay |
collection | PubMed |
description | Investigation of SARS-CoV-2 spread and identification of variants in sewers has been demonstrated to accurately detect prevalence of viral strains and is advantageous to clinical sampling in population catchment size. Herein, we utilized an established nationwide system of wastewater sampling and viral concentration approaches to perform large-scale surveillance of SARS-CoV-2 variants in nine different locations across Israel that were sampled from August 2020 to February 2021 and sequenced (n = 58). Viral sequences obtained from the wastewater samples had high coverages of the genome, and mutation analyses successfully identified the penetration of the B.1.1.7 variant into Israel in December 2020 in the central and north regions, and its spread into additional regions in January and February 2021, corresponding with clinical sampling results. Moreover, the wastewater analysis identified the B.1.1.7 variant in December 2020 in regions in which non-sufficient clinical sampling was available. Other variants of concern examined, including P.1 (Brazil/Manaus), B.1.429 (USA/California), B.1.526 (USA/New York), A.23.1 (Uganda) and B.1.525 (Unknown origin), did not show consistently elevated frequencies. This study exemplifies that surveillance by sewage is a robust approach which allows to monitor the diversity of SARS-CoV-2 strains circulating in the community. Most importantly, this approach can pre-identify the emergence of epidemiologically or clinically relevant mutations/variants, aiding in public health decision making. |
format | Online Article Text |
id | pubmed-8142738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81427382021-05-25 Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel Bar-Or, Itay Weil, Merav Indenbaum, Victoria Bucris, Efrat Bar-Ilan, Dana Elul, Michal Levi, Nofar Aguvaev, Irina Cohen, Zvi Shirazi, Rachel Erster, Oran Sela-Brown, Alin Sofer, Danit Mor, Orna Mendelson, Ella Zuckerman, Neta S. Sci Total Environ Short Communication Investigation of SARS-CoV-2 spread and identification of variants in sewers has been demonstrated to accurately detect prevalence of viral strains and is advantageous to clinical sampling in population catchment size. Herein, we utilized an established nationwide system of wastewater sampling and viral concentration approaches to perform large-scale surveillance of SARS-CoV-2 variants in nine different locations across Israel that were sampled from August 2020 to February 2021 and sequenced (n = 58). Viral sequences obtained from the wastewater samples had high coverages of the genome, and mutation analyses successfully identified the penetration of the B.1.1.7 variant into Israel in December 2020 in the central and north regions, and its spread into additional regions in January and February 2021, corresponding with clinical sampling results. Moreover, the wastewater analysis identified the B.1.1.7 variant in December 2020 in regions in which non-sufficient clinical sampling was available. Other variants of concern examined, including P.1 (Brazil/Manaus), B.1.429 (USA/California), B.1.526 (USA/New York), A.23.1 (Uganda) and B.1.525 (Unknown origin), did not show consistently elevated frequencies. This study exemplifies that surveillance by sewage is a robust approach which allows to monitor the diversity of SARS-CoV-2 strains circulating in the community. Most importantly, this approach can pre-identify the emergence of epidemiologically or clinically relevant mutations/variants, aiding in public health decision making. The Authors. Published by Elsevier B.V. 2021-10-01 2021-05-24 /pmc/articles/PMC8142738/ /pubmed/34323811 http://dx.doi.org/10.1016/j.scitotenv.2021.148002 Text en © 2021 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 | Short Communication Bar-Or, Itay Weil, Merav Indenbaum, Victoria Bucris, Efrat Bar-Ilan, Dana Elul, Michal Levi, Nofar Aguvaev, Irina Cohen, Zvi Shirazi, Rachel Erster, Oran Sela-Brown, Alin Sofer, Danit Mor, Orna Mendelson, Ella Zuckerman, Neta S. Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel |
title | Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel |
title_full | Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel |
title_fullStr | Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel |
title_full_unstemmed | Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel |
title_short | Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel |
title_sort | detection of sars-cov-2 variants by genomic analysis of wastewater samples in israel |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142738/ https://www.ncbi.nlm.nih.gov/pubmed/34323811 http://dx.doi.org/10.1016/j.scitotenv.2021.148002 |
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