Transcriptional and epi-transcriptional dynamics of SARS-CoV-2 during cellular infection

Jessie J.Y. Chang, Daniel Rawlinson, Miranda E. Pitt, George Taiaroa, Josie Gleeson, Chenxi Zhou, Francesca L. Mordant, Ricardo De Paoli-Iseppi, Leon Caly, Damian F.J. Purcell, Timothy P. Stinear, Sarah L. Londrigan, Michael B. Clark, Deborah A. Williamson, Kanta Subbarao, Lachlan J.M. Coin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) uses subgenomic RNA (sgRNA) to produce viral proteins for replication and immune evasion. We apply long-read RNA and cDNA sequencing to in vitro human and primate infection models to study transcriptional dynamics. Transcription-regulating sequence (TRS)-dependent sgRNA upregulates earlier in infection than TRS-independent sgRNA. An abundant class of TRS-independent sgRNA consisting of a portion of open reading frame 1ab (ORF1ab) containing nsp1 joins to ORF10, and the 3′ untranslated region (UTR) upregulates at 48 h post-infection in human cell lines. We identify double-junction sgRNA containing both TRS-dependent and -independent junctions. We find multiple sites at which the SARS-CoV-2 genome is consistently more modified than sgRNA and that sgRNA modifications are stable across transcript clusters, host cells, and time since infection. Our work highlights the dynamic nature of the SARS-CoV-2 transcriptome during its replication cycle.

Original languageEnglish
Article number109108
JournalCell Reports
Volume35
Issue number6
DOIs
Publication statusPublished - 11 May 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 The Authors

Keywords

  • COVID-19
  • Nanopore sequencing
  • RNA modification
  • SARS-CoV-2
  • coronavirus
  • differential expression
  • direct RNA sequencing
  • direct cDNA sequencing
  • discontinuous transcription
  • poly(A) tail

Fingerprint

Dive into the research topics of 'Transcriptional and epi-transcriptional dynamics of SARS-CoV-2 during cellular infection'. Together they form a unique fingerprint.

Cite this