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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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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 |
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