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Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2

BACKGROUND: SARS-CoV-2, a positive-sense RNA virus in the family Coronaviridae, has caused a worldwide pandemic of coronavirus disease 2019 or COVID-19. Coronaviruses generate a tiered series of subgenomic RNAs (sgRNAs) through a process involving homology between transcriptional regulatory sequence...

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Autores principales: Nomburg, Jason, Meyerson, Matthew, DeCaprio, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704119/
https://www.ncbi.nlm.nih.gov/pubmed/33256807
http://dx.doi.org/10.1186/s13073-020-00802-w
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author Nomburg, Jason
Meyerson, Matthew
DeCaprio, James A.
author_facet Nomburg, Jason
Meyerson, Matthew
DeCaprio, James A.
author_sort Nomburg, Jason
collection PubMed
description BACKGROUND: SARS-CoV-2, a positive-sense RNA virus in the family Coronaviridae, has caused a worldwide pandemic of coronavirus disease 2019 or COVID-19. Coronaviruses generate a tiered series of subgenomic RNAs (sgRNAs) through a process involving homology between transcriptional regulatory sequences (TRS) located after the leader sequence in the 5′ UTR (the TRS-L) and TRS located near the start of ORFs encoding structural and accessory proteins (TRS-B) near the 3′ end of the genome. In addition to the canonical sgRNAs generated by SARS-CoV-2, non-canonical sgRNAs (nc-sgRNAs) have been reported. However, the consistency of these nc-sgRNAs across viral isolates and infection conditions is unknown. The comprehensive definition of SARS-CoV-2 RNA products is a key step in understanding SARS-CoV-2 pathogenesis. METHODS: Here, we report an integrative analysis of eight independent SARS-CoV-2 transcriptomes generated using three sequencing strategies, five host systems, and seven viral isolates. Read-mapping to the SARS-CoV-2 genome was used to determine the 5′ and 3′ coordinates of all junctions in viral RNAs identified in these samples. RESULTS: Using junctional abundances, we show nc-sgRNAs make up as much as 33% of total sgRNAs in cell culture models of infection, are largely consistent in abundance across independent transcriptomes, and increase in abundance over time during infection. By assessing the homology between sequences flanking the 5′ and 3′ junction points, we show that nc-sgRNAs are not associated with TRS-like homology. By incorporating read coverage information, we find strong evidence for subgenomic RNAs that contain only 5′ regions of ORF1a. Finally, we show that non-canonical junctions change the landscape of viral open reading frames. CONCLUSIONS: We identify canonical and non-canonical junctions in SARS-CoV-2 sgRNAs and show that these RNA products are consistently generated by many independent viral isolates and sequencing approaches. These analyses highlight the diverse transcriptional activity of SARS-CoV-2 and offer important insights into SARS-CoV-2 biology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-020-00802-w.
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spelling pubmed-77041192020-12-01 Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2 Nomburg, Jason Meyerson, Matthew DeCaprio, James A. Genome Med Research BACKGROUND: SARS-CoV-2, a positive-sense RNA virus in the family Coronaviridae, has caused a worldwide pandemic of coronavirus disease 2019 or COVID-19. Coronaviruses generate a tiered series of subgenomic RNAs (sgRNAs) through a process involving homology between transcriptional regulatory sequences (TRS) located after the leader sequence in the 5′ UTR (the TRS-L) and TRS located near the start of ORFs encoding structural and accessory proteins (TRS-B) near the 3′ end of the genome. In addition to the canonical sgRNAs generated by SARS-CoV-2, non-canonical sgRNAs (nc-sgRNAs) have been reported. However, the consistency of these nc-sgRNAs across viral isolates and infection conditions is unknown. The comprehensive definition of SARS-CoV-2 RNA products is a key step in understanding SARS-CoV-2 pathogenesis. METHODS: Here, we report an integrative analysis of eight independent SARS-CoV-2 transcriptomes generated using three sequencing strategies, five host systems, and seven viral isolates. Read-mapping to the SARS-CoV-2 genome was used to determine the 5′ and 3′ coordinates of all junctions in viral RNAs identified in these samples. RESULTS: Using junctional abundances, we show nc-sgRNAs make up as much as 33% of total sgRNAs in cell culture models of infection, are largely consistent in abundance across independent transcriptomes, and increase in abundance over time during infection. By assessing the homology between sequences flanking the 5′ and 3′ junction points, we show that nc-sgRNAs are not associated with TRS-like homology. By incorporating read coverage information, we find strong evidence for subgenomic RNAs that contain only 5′ regions of ORF1a. Finally, we show that non-canonical junctions change the landscape of viral open reading frames. CONCLUSIONS: We identify canonical and non-canonical junctions in SARS-CoV-2 sgRNAs and show that these RNA products are consistently generated by many independent viral isolates and sequencing approaches. These analyses highlight the diverse transcriptional activity of SARS-CoV-2 and offer important insights into SARS-CoV-2 biology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-020-00802-w. BioMed Central 2020-12-01 /pmc/articles/PMC7704119/ /pubmed/33256807 http://dx.doi.org/10.1186/s13073-020-00802-w Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Nomburg, Jason
Meyerson, Matthew
DeCaprio, James A.
Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2
title Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2
title_full Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2
title_fullStr Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2
title_full_unstemmed Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2
title_short Pervasive generation of non-canonical subgenomic RNAs by SARS-CoV-2
title_sort pervasive generation of non-canonical subgenomic rnas by sars-cov-2
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704119/
https://www.ncbi.nlm.nih.gov/pubmed/33256807
http://dx.doi.org/10.1186/s13073-020-00802-w
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