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The mutational landscape of SARS-CoV-2 provides new insight into viral evolution and fitness

  • Jori Symons
  • , Claire Chung
  • , Bert M Verheijen
  • , Sarah J Shemtov
  • , Dorien de Jong
  • , Gimano Amatngalim
  • , Monique Nijhuis
  • , Marc Vermulst*
  • , Jean-Francois Gout*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Although vaccines and treatments have strengthened our ability to combat the COVID-19 pandemic, new variants of SARS-CoV-2 continue to emerge in human populations. Because the evolution of SARS-CoV-2 is driven by mutation, a better understanding of its mutation rate and spectrum could improve our ability to forecast the trajectory of the pandemic. Here, we use circular RNA consensus sequencing (CirSeq) to determine the mutation rate of six SARS-CoV-2 variants and perform a short-term evolution experiment to determine the impact of these mutations on viral fitness. Our analyses indicate that the SARS-CoV-2 genome mutates at a rate of ∼1.5 × 10 -6/base per viral passage and that the spectrum is dominated by C → U transitions. Moreover, we find that the mutation rate is significantly reduced in regions that form base-pairing interactions and that mutations that affect these secondary structures are especially harmful to viral fitness. In this work, we show that the biased mutation spectrum of SARS-CoV-2 is likely a result of frequent cytidine deamination and that the secondary structure of the virus plays an important role in this process, providing new insight into the parameters that guide viral evolution and highlighting fundamental weaknesses of the virus that may be exploited for therapeutic purposes.

Original languageEnglish
Article number6425
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - 11 Jul 2025

Keywords

  • COVID-19/virology
  • Cytidine/metabolism
  • Deamination
  • Evolution, Molecular
  • Genetic Fitness
  • Genome, Viral/genetics
  • Humans
  • Mutation
  • Mutation Rate
  • RNA, Viral/genetics
  • SARS-CoV-2/genetics

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