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Large-scale analysis of SARS-CoV-2 synonymous mutations reveals the adaptation to the human codon usage during the virus evolution
Author(s) -
Daniele Ramazzotti,
Fabrizio Angaroni,
Davide Maspero,
Mario Mauri,
Deborah D’Aliberti,
Diletta Fontana,
Marco Antoniotti,
Elena Maria Elli,
Alex Graudenzi,
Rocco Piazza
Publication year - 2022
Publication title -
virus evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.231
H-Index - 23
ISSN - 2057-1577
DOI - 10.1093/ve/veac026
Subject(s) - codon usage bias , covid-19 , adaptation (eye) , virology , biology , genetics , virus , mutation , sars virus , computational biology , gene , genome , medicine , outbreak , disease , pathology , infectious disease (medical specialty) , neuroscience
Many large national and transnational studies have been dedicated to the analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) genome, most of which focused on missense and nonsense mutations. However, approximately 30 per cent of the SARS-CoV-2 variants are synonymous, therefore changing the target codon without affecting the corresponding protein sequence. By performing a large-scale analysis of sequencing data generated from almost 400,000 SARS-CoV-2 samples, we show that silent mutations increasing the similarity of viral codons to the human ones tend to fixate in the viral genome overtime. This indicates that SARS-CoV-2 codon usage is adapting to the human host, likely improving its effectiveness in using the human aminoacyl-tRNA set through the accumulation of deceitfully neutral silent mutations. One-Sentence Summary. Synonymous SARS-CoV-2 mutations related to the activity of different mutational processes may positively impact viral evolution by increasing its adaptation to the human codon usage.

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