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Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends
The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic resulted in significant societal costs. Hence, an in‐depth understanding of SARS‐CoV‐2 virus mutation and its evolution will help determine the direction of the COVID‐19 pandemic. In this study, we identified 296,728 de novo m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538474/ https://www.ncbi.nlm.nih.gov/pubmed/37732331 http://dx.doi.org/10.1002/mlf2.12040 |
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author | Sun, Yamin Wang, Min Lin, Wenchao Dong, Wei Xu, Jianguo |
author_facet | Sun, Yamin Wang, Min Lin, Wenchao Dong, Wei Xu, Jianguo |
author_sort | Sun, Yamin |
collection | PubMed |
description | The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic resulted in significant societal costs. Hence, an in‐depth understanding of SARS‐CoV‐2 virus mutation and its evolution will help determine the direction of the COVID‐19 pandemic. In this study, we identified 296,728 de novo mutations in more than 2,800,000 high‐quality SARS‐CoV‐2 genomes. All possible factors affecting the mutation frequency of SARS‐CoV‐2 in human hosts were analyzed, including zinc finger antiviral proteins, sequence context, amino acid change, and translation efficiency. As a result, we proposed that when adenine (A) and tyrosine (T) bases are in the context of AM (M stands for adenine or cytosine) or TA motif, A or T base has lower mutation frequency. Furthermore, we hypothesized that translation efficiency can affect the mutation frequency of the third position of the codon by the selection, which explains why SARS‐CoV‐2 prefers AT3 codons usage. In addition, we found a host‐specific asymmetric dinucleotide mutation frequency in the SARS‐CoV‐2 genome, which provides a new basis for determining the origin of the SARS‐CoV‐2. Finally, we summarize all possible factors affecting mutation frequency and provide insights into the mutation characteristics and evolutionary trends of SARS‐CoV‐2. |
format | Online Article Text |
id | pubmed-9538474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95384742022-10-11 Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends Sun, Yamin Wang, Min Lin, Wenchao Dong, Wei Xu, Jianguo mLife Original Research The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic resulted in significant societal costs. Hence, an in‐depth understanding of SARS‐CoV‐2 virus mutation and its evolution will help determine the direction of the COVID‐19 pandemic. In this study, we identified 296,728 de novo mutations in more than 2,800,000 high‐quality SARS‐CoV‐2 genomes. All possible factors affecting the mutation frequency of SARS‐CoV‐2 in human hosts were analyzed, including zinc finger antiviral proteins, sequence context, amino acid change, and translation efficiency. As a result, we proposed that when adenine (A) and tyrosine (T) bases are in the context of AM (M stands for adenine or cytosine) or TA motif, A or T base has lower mutation frequency. Furthermore, we hypothesized that translation efficiency can affect the mutation frequency of the third position of the codon by the selection, which explains why SARS‐CoV‐2 prefers AT3 codons usage. In addition, we found a host‐specific asymmetric dinucleotide mutation frequency in the SARS‐CoV‐2 genome, which provides a new basis for determining the origin of the SARS‐CoV‐2. Finally, we summarize all possible factors affecting mutation frequency and provide insights into the mutation characteristics and evolutionary trends of SARS‐CoV‐2. John Wiley and Sons Inc. 2022-09-26 2022-09 /pmc/articles/PMC9538474/ /pubmed/37732331 http://dx.doi.org/10.1002/mlf2.12040 Text en © 2022 The Authors. mLife published by John Wiley & Sons Australia, Ltd. on behalf of Institute of Microbiology, Chinese Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Sun, Yamin Wang, Min Lin, Wenchao Dong, Wei Xu, Jianguo Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends |
title | Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends |
title_full | Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends |
title_fullStr | Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends |
title_full_unstemmed | Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends |
title_short | Massive‐scale genomic analysis reveals SARS‐CoV‐2 mutation characteristics and evolutionary trends |
title_sort | massive‐scale genomic analysis reveals sars‐cov‐2 mutation characteristics and evolutionary trends |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538474/ https://www.ncbi.nlm.nih.gov/pubmed/37732331 http://dx.doi.org/10.1002/mlf2.12040 |
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