Cited by 15SARS-CoV-2 and COVID-19 ResearchEvolution and Genetic DynamicsGenomics and Phylogenetic Studies

A Noncoding A-to-U Kozak Site Change Related to the High Transmissibility of Alpha, Delta, and Omicron VOCs

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Yang, Jianing, Cui, Yingmin, Yu, Dalang, Zhang, Guoqing, Cao, Ruifang, Gu, Zhili, Dai, Guangyi, Wu, Xiaoxian +10 more·2023·Molecular Biology and Evolution

Published version of a preprint

Abstract

Three prevalent SARS-CoV-2 variants of concern (VOCs) emerged and caused epidemic waves. It is essential to uncover advantageous mutations that cause the high transmissibility of VOCs. However, viral mutations are tightly linked, so traditional population genetic methods, including machine learning–based methods, cannot reliably detect mutations conferring a fitness advantage. In this study, we developed an approach based on the sequential occurrence order of mutations and the accelerated furcation rate in the pandemic-scale phylogenomic tree. We analyzed 3,777,753 high-quality SARS-CoV-2 genomic sequences and the epidemiology metadata using the Coronavirus GenBrowser. We found that two noncoding mutations at the same position (g.a28271−/u) may be crucial to the high transmissibility of Alpha, Delta, and Omicron VOCs although the noncoding mutations alone cannot increase viral transmissibility. Both mutations cause an A-to-U change at the core position −3 of the Kozak sequence of the N gene and significantly reduce the protein expression ratio of ORF9b to N. Using a convergent evolutionary analysis, we found that g.a28271−/u, S:p.P681H/R, and N:p.R203K/M occur independently on three VOC lineages, suggesting that coordinated changes of S, N, and ORF9b proteins are crucial to high viral transmissibility. Our results provide new insights into high viral transmissibility co-modulated by advantageous noncoding and nonsynonymous changes.

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Authors
Yang, J., Cui, Y., Yu, D., Zhang, G., Cao, R., Gu, Z., Dai, G., Wu, X., Ling, Y., Yi, C., Sun, X., Sun, B., Lin, X., Zhang, Y., Zhao, G.-P., Li, Y., Pan, Y.-H., & Li, H.
Affiliations
  • Shanghai Institute of Nutrition and Health (CN)
  • East China Normal University (CN)
  • Chinese Academy of Sciences (CN)
  • Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences , Shanghai , China
Corresponding author
  • Li, Yixue
  • Pan, Yi-Hsuan
  • Li, Haipeng
Venue
Molecular Biology and Evolution
Published
2023-06-01
Volume
40
Issue
6
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W4381469843
Cited by
15
References
8
Citations by year
2026: 2 · 2025: 5 · 2024: 4 · 2023: 1 · 2022: 1 · 2021: 2
FWCI
2.48
Type
journal article
Language
en
Open access
Locations
  • Molecular Biology and Evolution (publishedVersion, cc-by-nc)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (2021YFC0863300, 32270674, XDPB17, 31100273, 91531306)
  • Chinese Academy of Sciences (XDB38030100, XDPB17)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
SARS-CoV-2, variants of concern, viral transmissibility, Kozak sequence, non-coding mutations, N gene, ORF9b, convergent evolution, phylogenomic analysis, viral fitness, Omicron variant, Delta, alpha
MeSH terms
COVID-19, SARS-CoV-2, Biological Evolution, Mutation, Pandemics

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