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Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution

Upon SARS-CoV-2 infection, viral intermediates specifically activate the IFN response through MDA5-mediated sensing and accordingly induce ADAR1 p150 expression, which might lead to viral A-to-I RNA editing. Here, we developed an RNA virus-specific editing identification pipeline, surveyed 7622 RNA-...

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Autores principales: Song, Yulong, He, Xiuju, Yang, Wenbing, Wu, Yaoxing, Cui, Jun, Tang, Tian, Zhang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934641/
https://www.ncbi.nlm.nih.gov/pubmed/35234938
http://dx.doi.org/10.1093/nar/gkac120
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author Song, Yulong
He, Xiuju
Yang, Wenbing
Wu, Yaoxing
Cui, Jun
Tang, Tian
Zhang, Rui
author_facet Song, Yulong
He, Xiuju
Yang, Wenbing
Wu, Yaoxing
Cui, Jun
Tang, Tian
Zhang, Rui
author_sort Song, Yulong
collection PubMed
description Upon SARS-CoV-2 infection, viral intermediates specifically activate the IFN response through MDA5-mediated sensing and accordingly induce ADAR1 p150 expression, which might lead to viral A-to-I RNA editing. Here, we developed an RNA virus-specific editing identification pipeline, surveyed 7622 RNA-seq data from diverse types of samples infected with SARS-CoV-2, and constructed an atlas of A-to-I RNA editing sites in SARS-CoV-2. We found that A-to-I editing was dynamically regulated, varied between tissue and cell types, and was correlated with the intensity of innate immune response. On average, 91 editing events were deposited at viral dsRNA intermediates per sample. Moreover, editing hotspots were observed, including recoding sites in the spike gene that affect viral infectivity and antigenicity. Finally, we provided evidence that RNA editing accelerated SARS-CoV-2 evolution in humans during the epidemic. Our study highlights the ability of SARS-CoV-2 to hijack components of the host antiviral machinery to edit its genome and fuel its evolution, and also provides a framework and resource for studying viral RNA editing.
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spelling pubmed-89346412022-03-21 Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution Song, Yulong He, Xiuju Yang, Wenbing Wu, Yaoxing Cui, Jun Tang, Tian Zhang, Rui Nucleic Acids Res Data Resources and Analyses Upon SARS-CoV-2 infection, viral intermediates specifically activate the IFN response through MDA5-mediated sensing and accordingly induce ADAR1 p150 expression, which might lead to viral A-to-I RNA editing. Here, we developed an RNA virus-specific editing identification pipeline, surveyed 7622 RNA-seq data from diverse types of samples infected with SARS-CoV-2, and constructed an atlas of A-to-I RNA editing sites in SARS-CoV-2. We found that A-to-I editing was dynamically regulated, varied between tissue and cell types, and was correlated with the intensity of innate immune response. On average, 91 editing events were deposited at viral dsRNA intermediates per sample. Moreover, editing hotspots were observed, including recoding sites in the spike gene that affect viral infectivity and antigenicity. Finally, we provided evidence that RNA editing accelerated SARS-CoV-2 evolution in humans during the epidemic. Our study highlights the ability of SARS-CoV-2 to hijack components of the host antiviral machinery to edit its genome and fuel its evolution, and also provides a framework and resource for studying viral RNA editing. Oxford University Press 2022-03-02 /pmc/articles/PMC8934641/ /pubmed/35234938 http://dx.doi.org/10.1093/nar/gkac120 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Resources and Analyses
Song, Yulong
He, Xiuju
Yang, Wenbing
Wu, Yaoxing
Cui, Jun
Tang, Tian
Zhang, Rui
Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution
title Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution
title_full Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution
title_fullStr Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution
title_full_unstemmed Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution
title_short Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution
title_sort virus-specific editing identification approach reveals the landscape of a-to-i editing and its impacts on sars-cov-2 characteristics and evolution
topic Data Resources and Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934641/
https://www.ncbi.nlm.nih.gov/pubmed/35234938
http://dx.doi.org/10.1093/nar/gkac120
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