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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.
  • Nie Q; Department of Microbiology, Weifang Center for Disease Control and Prevention, Weifang, 261061, China. Electronic address: nieqing0454@163.com.
  • Li X; Hubei Engineering Research Center of Viral Vector, Wuhan University of Bioengineering, Wuhan, 430415, China. Electronic address: xingguanglee@hotmail.com.
  • Chen W; Department of Microbiology, Weifang Center for Disease Control and Prevention, Weifang, 261061, China.
  • Liu D; Department of Microbiology, Weifang Center for Disease Control and Prevention, Weifang, 261061, China.
  • Chen Y; Department of Microbiology, Weifang Center for Disease Control and Prevention, Weifang, 261061, China.
  • Li H; Department of Microbiology, Weifang Center for Disease Control and Prevention, Weifang, 261061, China.
  • Li D; Department of Microbiology, Weifang Center for Disease Control and Prevention, Weifang, 261061, China.
  • Tian M; Department of Microbiology, Weifang Center for Disease Control and Prevention, Weifang, 261061, China.
  • Tan W; Department of Respiratory Medicine, Weifang People's Hospital, Weifang, 261061, China.
  • Zai J; Immunology Innovation Team, School of Medicine, Ningbo University, Ningbo, 315211, China.
Virus Res ; 287: 198098, 2020 10 02.
Article in English | MEDLINE | ID: covidwho-653575
ABSTRACT
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 Re 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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Phylogeny / Pneumonia, Viral / Genome, Viral / Coronavirus Infections / Genomics / Betacoronavirus Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Virus Res Journal subject: Virology Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Phylogeny / Pneumonia, Viral / Genome, Viral / Coronavirus Infections / Genomics / Betacoronavirus Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Virus Res Journal subject: Virology Year: 2020 Document Type: Article