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Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts

The ability to predict emerging variants of SARS-CoV-2 would be of enormous value, as it would enable proactive design of vaccines in advance of such emergence. We estimated diversity of each site on a multiple sequence alignment (MSA) of the Spike (S) proteins from close relatives of SARS-CoV-2 tha...

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Autores principales: Katoh, Kazutaka, Standley, Daron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458489/
https://www.ncbi.nlm.nih.gov/pubmed/34552191
http://dx.doi.org/10.1038/s42003-021-02663-4
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author Katoh, Kazutaka
Standley, Daron M.
author_facet Katoh, Kazutaka
Standley, Daron M.
author_sort Katoh, Kazutaka
collection PubMed
description The ability to predict emerging variants of SARS-CoV-2 would be of enormous value, as it would enable proactive design of vaccines in advance of such emergence. We estimated diversity of each site on a multiple sequence alignment (MSA) of the Spike (S) proteins from close relatives of SARS-CoV-2 that infected bat and pangolin before the pandemic. Then we compared the locations of high diversity sites in this MSA and those of mutations found in multiple emerging lineages of human-infecting SARS-CoV-2. This comparison revealed a significant correspondence, which suggests that a limited number of sites in this protein are repeatedly substituted in different lineages of this group of viruses. It follows, therefore, that the sites of future emerging mutations in SARS-CoV-2 can be predicted by analyzing their relatives (outgroups) that have infected non-human hosts. We discuss a possible evolutionary basis for these substitutions and provide a list of frequently substituted sites that potentially include future emerging variants in SARS-CoV-2.
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spelling pubmed-84584892021-10-07 Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts Katoh, Kazutaka Standley, Daron M. Commun Biol Article The ability to predict emerging variants of SARS-CoV-2 would be of enormous value, as it would enable proactive design of vaccines in advance of such emergence. We estimated diversity of each site on a multiple sequence alignment (MSA) of the Spike (S) proteins from close relatives of SARS-CoV-2 that infected bat and pangolin before the pandemic. Then we compared the locations of high diversity sites in this MSA and those of mutations found in multiple emerging lineages of human-infecting SARS-CoV-2. This comparison revealed a significant correspondence, which suggests that a limited number of sites in this protein are repeatedly substituted in different lineages of this group of viruses. It follows, therefore, that the sites of future emerging mutations in SARS-CoV-2 can be predicted by analyzing their relatives (outgroups) that have infected non-human hosts. We discuss a possible evolutionary basis for these substitutions and provide a list of frequently substituted sites that potentially include future emerging variants in SARS-CoV-2. Nature Publishing Group UK 2021-09-22 /pmc/articles/PMC8458489/ /pubmed/34552191 http://dx.doi.org/10.1038/s42003-021-02663-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Katoh, Kazutaka
Standley, Daron M.
Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_full Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_fullStr Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_full_unstemmed Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_short Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_sort emerging sars-cov-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458489/
https://www.ncbi.nlm.nih.gov/pubmed/34552191
http://dx.doi.org/10.1038/s42003-021-02663-4
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