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Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection
Among all RNA viruses, coronavirus RNA transcription is the most complex and involves a process termed “discontinuous transcription” that results in the production of a set of 3′-nested, co-terminal genomic and subgenomic RNAs during infection. While the expression of the classic canonical set of su...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152751/ https://www.ncbi.nlm.nih.gov/pubmed/37193127 http://dx.doi.org/10.1016/j.isci.2023.106780 |
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author | Fritch, Ethan J. Sanders, Wes Sims, Amy C. Herring, Laura E. Barker, Natalie K. Schepmoes, Athena A. Weitz, Karl K. Texier, Jordan R. Dittmer, Dirk P. Graves, Lee M. Smith, Richard D. Waters, Katrina M. Moorman, Nathaniel J. Baric, Ralph S. Graham, Rachel L. |
author_facet | Fritch, Ethan J. Sanders, Wes Sims, Amy C. Herring, Laura E. Barker, Natalie K. Schepmoes, Athena A. Weitz, Karl K. Texier, Jordan R. Dittmer, Dirk P. Graves, Lee M. Smith, Richard D. Waters, Katrina M. Moorman, Nathaniel J. Baric, Ralph S. Graham, Rachel L. |
author_sort | Fritch, Ethan J. |
collection | PubMed |
description | Among all RNA viruses, coronavirus RNA transcription is the most complex and involves a process termed “discontinuous transcription” that results in the production of a set of 3′-nested, co-terminal genomic and subgenomic RNAs during infection. While the expression of the classic canonical set of subgenomic RNAs depends on the recognition of a 6- to 7-nt transcription regulatory core sequence (TRS), here, we use deep sequence and metagenomics analysis strategies and show that the coronavirus transcriptome is even more vast and more complex than previously appreciated and involves the production of leader-containing transcripts that have canonical and noncanonical leader-body junctions. Moreover, by ribosome protection and proteomics analyses, we show that both positive- and negative-sense transcripts are translationally active. The data support the hypothesis that the coronavirus proteome is much vaster than previously noted in the literature. |
format | Online Article Text |
id | pubmed-10152751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101527512023-05-02 Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection Fritch, Ethan J. Sanders, Wes Sims, Amy C. Herring, Laura E. Barker, Natalie K. Schepmoes, Athena A. Weitz, Karl K. Texier, Jordan R. Dittmer, Dirk P. Graves, Lee M. Smith, Richard D. Waters, Katrina M. Moorman, Nathaniel J. Baric, Ralph S. Graham, Rachel L. iScience Article Among all RNA viruses, coronavirus RNA transcription is the most complex and involves a process termed “discontinuous transcription” that results in the production of a set of 3′-nested, co-terminal genomic and subgenomic RNAs during infection. While the expression of the classic canonical set of subgenomic RNAs depends on the recognition of a 6- to 7-nt transcription regulatory core sequence (TRS), here, we use deep sequence and metagenomics analysis strategies and show that the coronavirus transcriptome is even more vast and more complex than previously appreciated and involves the production of leader-containing transcripts that have canonical and noncanonical leader-body junctions. Moreover, by ribosome protection and proteomics analyses, we show that both positive- and negative-sense transcripts are translationally active. The data support the hypothesis that the coronavirus proteome is much vaster than previously noted in the literature. Elsevier 2023-05-02 /pmc/articles/PMC10152751/ /pubmed/37193127 http://dx.doi.org/10.1016/j.isci.2023.106780 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Fritch, Ethan J. Sanders, Wes Sims, Amy C. Herring, Laura E. Barker, Natalie K. Schepmoes, Athena A. Weitz, Karl K. Texier, Jordan R. Dittmer, Dirk P. Graves, Lee M. Smith, Richard D. Waters, Katrina M. Moorman, Nathaniel J. Baric, Ralph S. Graham, Rachel L. Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection |
title | Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection |
title_full | Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection |
title_fullStr | Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection |
title_full_unstemmed | Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection |
title_short | Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection |
title_sort | metatranscriptomics analysis reveals a novel transcriptional and translational landscape during middle east respiratory syndrome coronavirus infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152751/ https://www.ncbi.nlm.nih.gov/pubmed/37193127 http://dx.doi.org/10.1016/j.isci.2023.106780 |
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