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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...

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Autores principales: Nie, Qing, Li, Xingguang, Chen, Wei, Liu, Dehui, Chen, Yingying, Li, Haitao, Li, Dongying, Tian, Mengmeng, Tan, Wei, Zai, Junjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
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.
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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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