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Phylogenetic network analysis of SARS-CoV-2 genomes

In a phylogenetic network analysis of 160 complete human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) genomes, we find three central variants distinguished by amino acid changes, which we have named A, B, and C, with A being the ancestral type according to the bat outgroup coronaviru...

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Autores principales: Forster, Peter, Forster, Lucy, Renfrew, Colin, Forster, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196762/
https://www.ncbi.nlm.nih.gov/pubmed/32269081
http://dx.doi.org/10.1073/pnas.2004999117
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author Forster, Peter
Forster, Lucy
Renfrew, Colin
Forster, Michael
author_facet Forster, Peter
Forster, Lucy
Renfrew, Colin
Forster, Michael
author_sort Forster, Peter
collection PubMed
description In a phylogenetic network analysis of 160 complete human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) genomes, we find three central variants distinguished by amino acid changes, which we have named A, B, and C, with A being the ancestral type according to the bat outgroup coronavirus. The A and C types are found in significant proportions outside East Asia, that is, in Europeans and Americans. In contrast, the B type is the most common type in East Asia, and its ancestral genome appears not to have spread outside East Asia without first mutating into derived B types, pointing to founder effects or immunological or environmental resistance against this type outside Asia. The network faithfully traces routes of infections for documented coronavirus disease 2019 (COVID-19) cases, indicating that phylogenetic networks can likewise be successfully used to help trace undocumented COVID-19 infection sources, which can then be quarantined to prevent recurrent spread of the disease worldwide.
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spelling pubmed-71967622020-05-06 Phylogenetic network analysis of SARS-CoV-2 genomes Forster, Peter Forster, Lucy Renfrew, Colin Forster, Michael Proc Natl Acad Sci U S A Social Sciences In a phylogenetic network analysis of 160 complete human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) genomes, we find three central variants distinguished by amino acid changes, which we have named A, B, and C, with A being the ancestral type according to the bat outgroup coronavirus. The A and C types are found in significant proportions outside East Asia, that is, in Europeans and Americans. In contrast, the B type is the most common type in East Asia, and its ancestral genome appears not to have spread outside East Asia without first mutating into derived B types, pointing to founder effects or immunological or environmental resistance against this type outside Asia. The network faithfully traces routes of infections for documented coronavirus disease 2019 (COVID-19) cases, indicating that phylogenetic networks can likewise be successfully used to help trace undocumented COVID-19 infection sources, which can then be quarantined to prevent recurrent spread of the disease worldwide. National Academy of Sciences 2020-04-28 2020-04-08 /pmc/articles/PMC7196762/ /pubmed/32269081 http://dx.doi.org/10.1073/pnas.2004999117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Social Sciences
Forster, Peter
Forster, Lucy
Renfrew, Colin
Forster, Michael
Phylogenetic network analysis of SARS-CoV-2 genomes
title Phylogenetic network analysis of SARS-CoV-2 genomes
title_full Phylogenetic network analysis of SARS-CoV-2 genomes
title_fullStr Phylogenetic network analysis of SARS-CoV-2 genomes
title_full_unstemmed Phylogenetic network analysis of SARS-CoV-2 genomes
title_short Phylogenetic network analysis of SARS-CoV-2 genomes
title_sort phylogenetic network analysis of sars-cov-2 genomes
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196762/
https://www.ncbi.nlm.nih.gov/pubmed/32269081
http://dx.doi.org/10.1073/pnas.2004999117
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