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Phylogenetic and phylodynamic analyses of SARS-CoV-2
To investigate the evolutionary and epidemiological dynamics of the current COVID-19 outbreak, a total of 112 genomes of SARS-CoV-2 strains sampled from China and 12 other countries with sampling dates between 24 December 2019 and 9 February 2020 were analyzed. We performed phylogenetic, split netwo...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366979/ https://www.ncbi.nlm.nih.gov/pubmed/32687861 http://dx.doi.org/10.1016/j.virusres.2020.198098 |
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author | Nie, Qing Li, Xingguang Chen, Wei Liu, Dehui Chen, Yingying Li, Haitao Li, Dongying Tian, Mengmeng Tan, Wei Zai, Junjie |
author_facet | Nie, Qing Li, Xingguang Chen, Wei Liu, Dehui Chen, Yingying Li, Haitao Li, Dongying Tian, Mengmeng Tan, Wei Zai, Junjie |
author_sort | Nie, Qing |
collection | PubMed |
description | To investigate the evolutionary and epidemiological dynamics of the current COVID-19 outbreak, a total of 112 genomes of SARS-CoV-2 strains sampled from China and 12 other countries with sampling dates between 24 December 2019 and 9 February 2020 were analyzed. We performed phylogenetic, split network, likelihood-mapping, model comparison, and phylodynamic analyses of the genomes. Based on Bayesian time-scaled phylogenetic analysis with the best-fitting combination models, we estimated the time to the most recent common ancestor (TMRCA) and evolutionary rate of SARS-CoV-2 to be 12 November 2019 (95 % BCI: 11 October 2019 and 09 December 2019) and 9.90 × 10(−4) substitutions per site per year (95 % BCI: 6.29 × 10(−4)–1.35 × 10(−3)), respectively. Notably, the very low R(e) estimates of SARS-CoV-2 during the recent sampling period may be the result of the successful control of the pandemic in China due to extreme societal lockdown efforts. Our results emphasize the importance of using phylodynamic analyses to provide insights into the roles of various interventions to limit the spread of SARS-CoV-2 in China and beyond. |
format | Online Article Text |
id | pubmed-7366979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73669792020-07-20 Phylogenetic and phylodynamic analyses of SARS-CoV-2 Nie, Qing Li, Xingguang Chen, Wei Liu, Dehui Chen, Yingying Li, Haitao Li, Dongying Tian, Mengmeng Tan, Wei Zai, Junjie Virus Res Article To investigate the evolutionary and epidemiological dynamics of the current COVID-19 outbreak, a total of 112 genomes of SARS-CoV-2 strains sampled from China and 12 other countries with sampling dates between 24 December 2019 and 9 February 2020 were analyzed. We performed phylogenetic, split network, likelihood-mapping, model comparison, and phylodynamic analyses of the genomes. Based on Bayesian time-scaled phylogenetic analysis with the best-fitting combination models, we estimated the time to the most recent common ancestor (TMRCA) and evolutionary rate of SARS-CoV-2 to be 12 November 2019 (95 % BCI: 11 October 2019 and 09 December 2019) and 9.90 × 10(−4) substitutions per site per year (95 % BCI: 6.29 × 10(−4)–1.35 × 10(−3)), respectively. Notably, the very low R(e) estimates of SARS-CoV-2 during the recent sampling period may be the result of the successful control of the pandemic in China due to extreme societal lockdown efforts. Our results emphasize the importance of using phylodynamic analyses to provide insights into the roles of various interventions to limit the spread of SARS-CoV-2 in China and beyond. Elsevier B.V. 2020-10-02 2020-07-17 /pmc/articles/PMC7366979/ /pubmed/32687861 http://dx.doi.org/10.1016/j.virusres.2020.198098 Text en © 2020 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 Nie, Qing Li, Xingguang Chen, Wei Liu, Dehui Chen, Yingying Li, Haitao Li, Dongying Tian, Mengmeng Tan, Wei Zai, Junjie Phylogenetic and phylodynamic analyses of SARS-CoV-2 |
title | Phylogenetic and phylodynamic analyses of SARS-CoV-2 |
title_full | Phylogenetic and phylodynamic analyses of SARS-CoV-2 |
title_fullStr | Phylogenetic and phylodynamic analyses of SARS-CoV-2 |
title_full_unstemmed | Phylogenetic and phylodynamic analyses of SARS-CoV-2 |
title_short | Phylogenetic and phylodynamic analyses of SARS-CoV-2 |
title_sort | phylogenetic and phylodynamic analyses of sars-cov-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366979/ https://www.ncbi.nlm.nih.gov/pubmed/32687861 http://dx.doi.org/10.1016/j.virusres.2020.198098 |
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