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

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...

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Autores principales: Lan, Tammy C. T., Allan, Matty F., Malsick, Lauren E., Woo, Jia Z., Zhu, Chi, Zhang, Fengrui, Khandwala, Stuti, Nyeo, Sherry S. Y., Sun, Yu, Guo, Junjie U., Bathe, Mark, Näär, Anders, Griffiths, Anthony, Rouskin, Silvi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891300/
https://www.ncbi.nlm.nih.gov/pubmed/35236847
http://dx.doi.org/10.1038/s41467-022-28603-2
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author Lan, Tammy C. T.
Allan, Matty F.
Malsick, Lauren E.
Woo, Jia Z.
Zhu, Chi
Zhang, Fengrui
Khandwala, Stuti
Nyeo, Sherry S. Y.
Sun, Yu
Guo, Junjie U.
Bathe, Mark
Näär, Anders
Griffiths, Anthony
Rouskin, Silvi
author_facet Lan, Tammy C. T.
Allan, Matty F.
Malsick, Lauren E.
Woo, Jia Z.
Zhu, Chi
Zhang, Fengrui
Khandwala, Stuti
Nyeo, Sherry S. Y.
Sun, Yu
Guo, Junjie U.
Bathe, Mark
Näär, Anders
Griffiths, Anthony
Rouskin, Silvi
author_sort Lan, Tammy C. T.
collection PubMed
description 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.
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spelling pubmed-88913002022-03-17 Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells Lan, Tammy C. T. Allan, Matty F. Malsick, Lauren E. Woo, Jia Z. Zhu, Chi Zhang, Fengrui Khandwala, Stuti Nyeo, Sherry S. Y. Sun, Yu Guo, Junjie U. Bathe, Mark Näär, Anders Griffiths, Anthony Rouskin, Silvi Nat Commun Article 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. Nature Publishing Group UK 2022-03-02 /pmc/articles/PMC8891300/ /pubmed/35236847 http://dx.doi.org/10.1038/s41467-022-28603-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lan, Tammy C. T.
Allan, Matty F.
Malsick, Lauren E.
Woo, Jia Z.
Zhu, Chi
Zhang, Fengrui
Khandwala, Stuti
Nyeo, Sherry S. Y.
Sun, Yu
Guo, Junjie U.
Bathe, Mark
Näär, Anders
Griffiths, Anthony
Rouskin, Silvi
Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells
title Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells
title_full Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells
title_fullStr Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells
title_full_unstemmed Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells
title_short Secondary structural ensembles of the SARS-CoV-2 RNA genome in infected cells
title_sort secondary structural ensembles of the sars-cov-2 rna genome in infected cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891300/
https://www.ncbi.nlm.nih.gov/pubmed/35236847
http://dx.doi.org/10.1038/s41467-022-28603-2
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