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

Author

Listed:
  • Jori Symons

    (University Medical Center)

  • Claire Chung

    (University of Southern California)

  • Bert M. Verheijen

    (University of Southern California
    Harvard Medical School)

  • Sarah J. Shemtov

    (University of Southern California)

  • Dorien Jong

    (University Medical Center)

  • Gimano Amatngalim

    (University Medical Center)

  • Monique Nijhuis

    (University Medical Center)

  • Marc Vermulst

    (University of Southern California)

  • Jean-Francois Gout

    (Mississippi State University)

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.

Suggested Citation

  • Jori Symons & Claire Chung & Bert M. Verheijen & Sarah J. Shemtov & Dorien Jong & Gimano Amatngalim & Monique Nijhuis & Marc Vermulst & Jean-Francois Gout, 2025. "The mutational landscape of SARS-CoV-2 provides new insight into viral evolution and fitness," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61555-x
    DOI: 10.1038/s41467-025-61555-x
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    References listed on IDEAS

    as
    1. Joseph M. Watts & Kristen K. Dang & Robert J. Gorelick & Christopher W. Leonard & Julian W. Bess Jr & Ronald Swanstrom & Christina L. Burch & Kevin M. Weeks, 2009. "Architecture and secondary structure of an entire HIV-1 RNA genome," Nature, Nature, vol. 460(7256), pages 711-716, August.
    2. Mohamed Fareh & Wei Zhao & Wenxin Hu & Joshua M. L. Casan & Amit Kumar & Jori Symons & Jennifer M. Zerbato & Danielle Fong & Ilia Voskoboinik & Paul G. Ekert & Rajeev Rudraraju & Damian F. J. Purcell , 2021. "Reprogrammed CRISPR-Cas13b suppresses SARS-CoV-2 replication and circumvents its mutational escape through mismatch tolerance," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    3. Wenkai Han & Ningning Chen & Xinzhou Xu & Adil Sahil & Juexiao Zhou & Zhongxiao Li & Huawen Zhong & Elva Gao & Ruochi Zhang & Yu Wang & Shiwei Sun & Peter Pak-Hang Cheung & Xin Gao, 2023. "Predicting the antigenic evolution of SARS-COV-2 with deep learning," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
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