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Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells

Author

Listed:
  • Tammy C. T. Lan

    (Whitehead Institute for Biomedical Research
    Harvard University)

  • Matty F. Allan

    (Whitehead Institute for Biomedical Research
    Harvard Medical School
    Massachusetts Institute of Technology
    Computational and Systems Biology, Massachusetts Institute of Technology)

  • Lauren E. Malsick

    (National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University)

  • Jia Z. Woo

    (Whitehead Institute for Biomedical Research
    Harvard Medical School)

  • Chi Zhu

    (University of California
    Innovative Genomics Institute, University of California)

  • Fengrui Zhang

    (Whitehead Institute for Biomedical Research)

  • Stuti Khandwala

    (Whitehead Institute for Biomedical Research
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Sherry S. Y. Nyeo

    (Whitehead Institute for Biomedical Research
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Yu Sun

    (Yale University School of Medicine)

  • Junjie U. Guo

    (Yale University School of Medicine)

  • Mark Bathe

    (Massachusetts Institute of Technology)

  • Anders Näär

    (University of California
    Innovative Genomics Institute, University of California)

  • Anthony Griffiths

    (National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University)

  • Silvi Rouskin

    (Whitehead Institute for Biomedical Research
    Harvard Medical School)

Abstract

SARS-CoV-2 is a betacoronavirus with a single-stranded, positive-sense, 30-kilobase RNA genome responsible for the ongoing COVID-19 pandemic. Although population average structure models of the genome were recently reported, there is little experimental data on native structural ensembles, and most structures lack functional characterization. Here we report secondary structure heterogeneity of the entire SARS-CoV-2 genome in two lines of infected cells at single nucleotide resolution. Our results reveal alternative RNA conformations across the genome and at the critical frameshifting stimulation element (FSE) that are drastically different from prevailing population average models. Importantly, we find that this structural ensemble promotes frameshifting rates much higher than the canonical minimal FSE and similar to ribosome profiling studies. Our results highlight the value of studying RNA in its full length and cellular context. The genomic structures detailed here lay groundwork for coronavirus RNA biology and will guide the design of SARS-CoV-2 RNA-based therapeutics.

Suggested Citation

  • Tammy C. T. Lan & Matty F. Allan & Lauren E. Malsick & Jia Z. Woo & Chi Zhu & Fengrui Zhang & Stuti Khandwala & Sherry S. Y. Nyeo & Yu Sun & Junjie U. Guo & Mark Bathe & Anders Näär & Anthony Griffith, 2022. "Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28603-2
    DOI: 10.1038/s41467-022-28603-2
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    References listed on IDEAS

    as
    1. Robert C. Spitale & Ryan A. Flynn & Qiangfeng Cliff Zhang & Pete Crisalli & Byron Lee & Jong-Wha Jung & Hannes Y. Kuchelmeister & Pedro J. Batista & Eduardo A. Torre & Eric T. Kool & Howard Y. Chang, 2015. "Erratum: Structural imprints in vivo decode RNA regulatory mechanisms," Nature, Nature, vol. 527(7577), pages 264-264, November.
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