Assessing Uncertainty in the Rooting of the SARS-CoV-2 Phylogeny.


Journal

Molecular biology and evolution
ISSN: 1537-1719
Titre abrégé: Mol Biol Evol
Pays: United States
ID NLM: 8501455

Informations de publication

Date de publication:
13 04 2021
Historique:
pubmed: 10 12 2020
medline: 24 4 2021
entrez: 9 12 2020
Statut: ppublish

Résumé

The rooting of the SARS-CoV-2 phylogeny is important for understanding the origin and early spread of the virus. Previously published phylogenies have used different rootings that do not always provide consistent results. We investigate several different strategies for rooting the SARS-CoV-2 tree and provide measures of statistical uncertainty for all methods. We show that methods based on the molecular clock tend to place the root in the B clade, whereas methods based on outgroup rooting tend to place the root in the A clade. The results from the two approaches are statistically incompatible, possibly as a consequence of deviations from a molecular clock or excess back-mutations. We also show that none of the methods provide strong statistical support for the placement of the root in any particular edge of the tree. These results suggest that phylogenetic evidence alone is unlikely to identify the origin of the SARS-CoV-2 virus and we caution against strong inferences regarding the early spread of the virus based solely on such evidence.

Identifiants

pubmed: 33295605
pii: 6028993
doi: 10.1093/molbev/msaa316
pmc: PMC7798932
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1537-1543

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

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Auteurs

Lenore Pipes (L)

Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.

Hongru Wang (H)

Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.

John P Huelsenbeck (JP)

Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.

Rasmus Nielsen (R)

Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Department of Statistics, University of California, Berkeley, Berkeley, CA, USA.
Globe Institute, University of Copenhagen, Copenhagen, Denmark.

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Classifications MeSH