Cargando…

Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility

Viruses from the Coronaviridae family have been reported to infect a large range of hosts, including humans. The latest human-infecting coronavirus, SARS-CoV-2, turned into a pandemic and subtypes with different transmissibility have appeared since then. The SARS-CoV-2 Spike (S) protein interacts wi...

Descripción completa

Detalles Bibliográficos
Autores principales: Soares, Ricardo, Vieira, Cristina P., Vieira, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318986/
https://www.ncbi.nlm.nih.gov/pubmed/35891545
http://dx.doi.org/10.3390/v14071565
_version_ 1784755438105919488
author Soares, Ricardo
Vieira, Cristina P.
Vieira, Jorge
author_facet Soares, Ricardo
Vieira, Cristina P.
Vieira, Jorge
author_sort Soares, Ricardo
collection PubMed
description Viruses from the Coronaviridae family have been reported to infect a large range of hosts, including humans. The latest human-infecting coronavirus, SARS-CoV-2, turned into a pandemic and subtypes with different transmissibility have appeared since then. The SARS-CoV-2 Spike (S) protein interacts with the angiotensin-converting enzyme 2 (ACE2) host receptor, and thus, in silico models, based on the structural features of the SARS-CoV-2 S protein–ACE2 receptor complex, as well as ACE2 amino acid patterns, may be used to predict the within- and between-species transmissibility of SARS-CoV-2 subtypes. Here, it is shown that at the beginning of the pandemic, the SARS-CoV-2 S protein was, as expected for a virus that just jumped the species barrier, ill-adapted to the human ACE2 receptor, and that the replacement of one SARS-CoV-2 variant by another is partially due to a better fitting of the S protein–human ACE2 complex. Moreover, it is shown that mutations that are predicted to lead to a better fit have increased in the population due to positive selection. It is also shown that the number of ACE2-interfacing residues is positively correlated with the transmissibility rate of SARS-CoV-2 variants. Finally, it is shown that the number of species that are susceptible to infection by SARS-CoV-2, and that could be a reservoir for this virus, is likely higher than previously thought.
format Online
Article
Text
id pubmed-9318986
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-93189862022-07-27 Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility Soares, Ricardo Vieira, Cristina P. Vieira, Jorge Viruses Article Viruses from the Coronaviridae family have been reported to infect a large range of hosts, including humans. The latest human-infecting coronavirus, SARS-CoV-2, turned into a pandemic and subtypes with different transmissibility have appeared since then. The SARS-CoV-2 Spike (S) protein interacts with the angiotensin-converting enzyme 2 (ACE2) host receptor, and thus, in silico models, based on the structural features of the SARS-CoV-2 S protein–ACE2 receptor complex, as well as ACE2 amino acid patterns, may be used to predict the within- and between-species transmissibility of SARS-CoV-2 subtypes. Here, it is shown that at the beginning of the pandemic, the SARS-CoV-2 S protein was, as expected for a virus that just jumped the species barrier, ill-adapted to the human ACE2 receptor, and that the replacement of one SARS-CoV-2 variant by another is partially due to a better fitting of the S protein–human ACE2 complex. Moreover, it is shown that mutations that are predicted to lead to a better fit have increased in the population due to positive selection. It is also shown that the number of ACE2-interfacing residues is positively correlated with the transmissibility rate of SARS-CoV-2 variants. Finally, it is shown that the number of species that are susceptible to infection by SARS-CoV-2, and that could be a reservoir for this virus, is likely higher than previously thought. MDPI 2022-07-19 /pmc/articles/PMC9318986/ /pubmed/35891545 http://dx.doi.org/10.3390/v14071565 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Soares, Ricardo
Vieira, Cristina P.
Vieira, Jorge
Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility
title Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility
title_full Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility
title_fullStr Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility
title_full_unstemmed Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility
title_short Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility
title_sort predictive models of within- and between-species sars-cov-2 transmissibility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318986/
https://www.ncbi.nlm.nih.gov/pubmed/35891545
http://dx.doi.org/10.3390/v14071565
work_keys_str_mv AT soaresricardo predictivemodelsofwithinandbetweenspeciessarscov2transmissibility
AT vieiracristinap predictivemodelsofwithinandbetweenspeciessarscov2transmissibility
AT vieirajorge predictivemodelsofwithinandbetweenspeciessarscov2transmissibility