Transmission dynamics and evolutionary history of 2019-nCoV.
2019-nCoV
TMRCA
evolutionary rate
phylogenetic cluster
time to most recent common ancestor
transmission cluster
Journal
Journal of medical virology
ISSN: 1096-9071
Titre abrégé: J Med Virol
Pays: United States
ID NLM: 7705876
Informations de publication
Date de publication:
05 2020
05 2020
Historique:
received:
01
02
2020
accepted:
05
02
2020
pubmed:
7
2
2020
medline:
19
3
2020
entrez:
7
2
2020
Statut:
ppublish
Résumé
To investigate the time origin, genetic diversity, and transmission dynamics of the recent 2019-nCoV outbreak in China and beyond, a total of 32 genomes of virus strains sampled from China, Thailand, and the USA with sampling dates between 24 December 2019 and 23 January 2020 were analyzed. Phylogenetic, transmission network, and likelihood-mapping analyses of the genome sequences were performed. On the basis of the likelihood-mapping analysis, the increasing tree-like signals (from 0% to 8.2%, 18.2%, and 25.4%) over time may be indicative of increasing genetic diversity of 2019-nCoV in human hosts. We identified three phylogenetic clusters using the Bayesian inference framework and three transmission clusters using transmission network analysis, with only one cluster identified by both methods using the above genome sequences of 2019-nCoV strains. The estimated mean evolutionary rate for 2019-nCoV ranged from 1.7926 × 10
Identifiants
pubmed: 32027035
doi: 10.1002/jmv.25701
pmc: PMC7166881
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
501-511Subventions
Organisme : National Natural Science Foundation of China
ID : 31470268
Pays : International
Organisme : Project of Guangxi Health Committee
ID : Z20191111
Pays : International
Organisme : Natural Science Foundation of Guangxi Province of China
ID : 2017GXNSFAA198080
Pays : International
Informations de copyright
© 2020 Wiley Periodicals, Inc.
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