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Virus EvolutionBioinformaticsPeer-reviewed journal article

Large-scale analysis of SARS-CoV-2 synonymous mutations reveals the adaptation to the human codon usage during the virus evolution

Daniele RamazzottiiD, Fabrizio AngaroniiD, Davide MasperoiD, Mario MauriiD, Deborah D’AlibertiiD, Diletta FontanaiD, Marco AntoniottiiD, Elena Maria ElliiD, Alex GraudenziiD, Rocco PiazzaiD

PDFDOIPreprint

Abstract

Many large national and transnational studies have been dedicated to the analysis of SARS-CoV-2 genome, most of which focused on missense and nonsense mutations. However, approximately 30% 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 over-time. 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 SummarySynonymous SARS-CoV-2 mutations related to the activity of different mutational processes may positively impact viral evolution by increasing its adaptation to human codon usage.

Citations
47
FWCI
4.41
Field percentile
top 3%

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