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Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2

In the frames of a One Health strategy, i.e. a strategy should be able to predict susceptibility to infection in both humans and animals, developing a SARS-CoV-2 mutation tracking system is a goal. We observed that the phylogenetic proximity of vertebrate ACE2 receptors does not affect the binding e...

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Autores principales: Calcagnile, Matteo, Verri, Tiziano, Tredici, Maurizio Salvatore, Forgez, Patricia, Alifano, Marco, Alifano, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610831/
https://www.ncbi.nlm.nih.gov/pubmed/34841034
http://dx.doi.org/10.1016/j.onehlt.2021.100352
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author Calcagnile, Matteo
Verri, Tiziano
Tredici, Maurizio Salvatore
Forgez, Patricia
Alifano, Marco
Alifano, Pietro
author_facet Calcagnile, Matteo
Verri, Tiziano
Tredici, Maurizio Salvatore
Forgez, Patricia
Alifano, Marco
Alifano, Pietro
author_sort Calcagnile, Matteo
collection PubMed
description In the frames of a One Health strategy, i.e. a strategy should be able to predict susceptibility to infection in both humans and animals, developing a SARS-CoV-2 mutation tracking system is a goal. We observed that the phylogenetic proximity of vertebrate ACE2 receptors does not affect the binding energy for the viral spike protein. However, all viral variants seem to bind ACE2 better in many animals than in humans. Moreover, two observations highlight that the evolution of the virus started at the beginning of 2020 and culminated with the appearance of the variants. First, codon usage analysis shows that the B.1.1.7 (alpha), B.1.351 (beta) and B.1.617.2 (delta) variants, similar in the use of codons, are also similar to a virus sampled in January 2020. Second, the host-specific D614G mutation becomes prevalent starting from March 2020. Overall, we show that SARS-CoV-2 undergoes a process of molecular evolution that begins with the optimization of codons followed by the functional optimization of the spike protein.
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spelling pubmed-86108312021-11-24 Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2 Calcagnile, Matteo Verri, Tiziano Tredici, Maurizio Salvatore Forgez, Patricia Alifano, Marco Alifano, Pietro One Health Short Communication In the frames of a One Health strategy, i.e. a strategy should be able to predict susceptibility to infection in both humans and animals, developing a SARS-CoV-2 mutation tracking system is a goal. We observed that the phylogenetic proximity of vertebrate ACE2 receptors does not affect the binding energy for the viral spike protein. However, all viral variants seem to bind ACE2 better in many animals than in humans. Moreover, two observations highlight that the evolution of the virus started at the beginning of 2020 and culminated with the appearance of the variants. First, codon usage analysis shows that the B.1.1.7 (alpha), B.1.351 (beta) and B.1.617.2 (delta) variants, similar in the use of codons, are also similar to a virus sampled in January 2020. Second, the host-specific D614G mutation becomes prevalent starting from March 2020. Overall, we show that SARS-CoV-2 undergoes a process of molecular evolution that begins with the optimization of codons followed by the functional optimization of the spike protein. Elsevier 2021-11-24 /pmc/articles/PMC8610831/ /pubmed/34841034 http://dx.doi.org/10.1016/j.onehlt.2021.100352 Text en © 2021 The Authors. Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Short Communication
Calcagnile, Matteo
Verri, Tiziano
Tredici, Maurizio Salvatore
Forgez, Patricia
Alifano, Marco
Alifano, Pietro
Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2
title Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2
title_full Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2
title_fullStr Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2
title_full_unstemmed Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2
title_short Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2
title_sort codon usage, phylogeny and binding energy estimation predict the evolution of sars-cov-2
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610831/
https://www.ncbi.nlm.nih.gov/pubmed/34841034
http://dx.doi.org/10.1016/j.onehlt.2021.100352
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