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Title: Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection

Journal Article · · iScience
ORCiD logo [1];  [1];  [2];  [1];  [1];  [3]; ORCiD logo [3];  [1];  [1];  [1];  [3];  [3];  [1];  [1];  [1]
  1. University of North Carolina, Chapel Hill, NC (United States)
  2. University of North Carolina, Chapel Hill, NC (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  3. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Biological Sciences Division
+ Show Author Affiliations

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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE; National Institutes of Health (NIH)
Grant/Contract Number:
AC05-76RL01830; U19 AI107810; U19 AI106772; T32 AI007419; P30 CA016086
OSTI ID:
1975846
Report Number(s):
PNNL-SA-174528
Journal Information:
iScience, Vol. 26, Issue 6; ISSN 2589-0042
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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