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Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model

The coronavirus disease 2019 (COVID-19) pandemic has greatly damaged human society, but the origins and early transmission patterns of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen remain unclear. Here, we reconstructed the transmission networks of SARS-CoV-2 during the f...

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Autores principales: Cheng, Chao-Yuan, Zhang, Zhi-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236306/
https://www.ncbi.nlm.nih.gov/pubmed/36999549
http://dx.doi.org/10.24272/j.issn.2095-8137.2022.535
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author Cheng, Chao-Yuan
Zhang, Zhi-Bin
author_facet Cheng, Chao-Yuan
Zhang, Zhi-Bin
author_sort Cheng, Chao-Yuan
collection PubMed
description The coronavirus disease 2019 (COVID-19) pandemic has greatly damaged human society, but the origins and early transmission patterns of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen remain unclear. Here, we reconstructed the transmission networks of SARS-CoV-2 during the first three and six months since its first report based on ancestor-offspring relationships using BANAL-52-referenced mutations. We explored the position (i.e., root, middle, or tip) of early detected samples in the evolutionary tree of SARS-CoV-2. In total, 6 799 transmission chains and 1 766 transmission networks were reconstructed, with chain lengths ranging from 1–9 nodes. The root node samples of the 1 766 transmission networks were from 58 countries or regions and showed no common ancestor, indicating the occurrence of many independent or parallel transmissions of SARS-CoV-2 when first detected (i.e., all samples were located at the tip position of the evolutionary tree). No root node sample was found in any sample (n=31, all from the Chinese mainland) collected in the first 15 days from 24 December 2019. Results using six-month data or RaTG13-referenced mutation data were similar. The reconstruction method was verified using a simulation approach. Our results suggest that SARS-CoV-2 may have already been spreading independently worldwide before the outbreak of COVID-19 in Wuhan, China. Thus, a comprehensive global survey of human and animal samples is essential to explore the origins of SARS-CoV-2 and its natural reservoirs and hosts.
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spelling pubmed-102363062023-06-03 Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model Cheng, Chao-Yuan Zhang, Zhi-Bin Zool Res Article The coronavirus disease 2019 (COVID-19) pandemic has greatly damaged human society, but the origins and early transmission patterns of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen remain unclear. Here, we reconstructed the transmission networks of SARS-CoV-2 during the first three and six months since its first report based on ancestor-offspring relationships using BANAL-52-referenced mutations. We explored the position (i.e., root, middle, or tip) of early detected samples in the evolutionary tree of SARS-CoV-2. In total, 6 799 transmission chains and 1 766 transmission networks were reconstructed, with chain lengths ranging from 1–9 nodes. The root node samples of the 1 766 transmission networks were from 58 countries or regions and showed no common ancestor, indicating the occurrence of many independent or parallel transmissions of SARS-CoV-2 when first detected (i.e., all samples were located at the tip position of the evolutionary tree). No root node sample was found in any sample (n=31, all from the Chinese mainland) collected in the first 15 days from 24 December 2019. Results using six-month data or RaTG13-referenced mutation data were similar. The reconstruction method was verified using a simulation approach. Our results suggest that SARS-CoV-2 may have already been spreading independently worldwide before the outbreak of COVID-19 in Wuhan, China. Thus, a comprehensive global survey of human and animal samples is essential to explore the origins of SARS-CoV-2 and its natural reservoirs and hosts. Science Press 2023-05-18 /pmc/articles/PMC10236306/ /pubmed/36999549 http://dx.doi.org/10.24272/j.issn.2095-8137.2022.535 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Cheng, Chao-Yuan
Zhang, Zhi-Bin
Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model
title Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model
title_full Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model
title_fullStr Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model
title_full_unstemmed Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model
title_short Reconstructing early transmission networks of SARS-CoV-2 using a genomic mutation model
title_sort reconstructing early transmission networks of sars-cov-2 using a genomic mutation model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236306/
https://www.ncbi.nlm.nih.gov/pubmed/36999549
http://dx.doi.org/10.24272/j.issn.2095-8137.2022.535
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