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10.1016/j.molcel.2021.02.036

http://scihub22266oqcxt.onion/10.1016/j.molcel.2021.02.036
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suck abstract from ncbi


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pmid33713597      Mol+Cell 2021 ; 81 (10): 2135-2147.e5
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  • The SARS-CoV-2 subgenome landscape and its novel regulatory features #MMPMID33713597
  • Wang D; Jiang A; Feng J; Li G; Guo D; Sajid M; Wu K; Zhang Q; Ponty Y; Will S; Liu F; Yu X; Li S; Liu Q; Yang XL; Guo M; Li X; Chen M; Shi ZL; Lan K; Chen Y; Zhou Y
  • Mol Cell 2021[May]; 81 (10): 2135-2147.e5 PMID33713597show ga
  • Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently a global pandemic. CoVs are known to generate negative subgenomes (subgenomic RNAs [sgRNAs]) through transcription-regulating sequence (TRS)-dependent template switching, but the global dynamic landscapes of coronaviral subgenomes and regulatory rules remain unclear. Here, using next-generation sequencing (NGS) short-read and Nanopore long-read poly(A) RNA sequencing in two cell types at multiple time points after infection with SARS-CoV-2, we identified hundreds of template switches and constructed the dynamic landscapes of SARS-CoV-2 subgenomes. Interestingly, template switching could occur in a bidirectional manner, with diverse SARS-CoV-2 subgenomes generated from successive template-switching events. The majority of template switches result from RNA-RNA interactions, including seed and compensatory modes, with terminal pairing status as a key determinant. Two TRS-independent template switch modes are also responsible for subgenome biogenesis. Our findings reveal the subgenome landscape of SARS-CoV-2 and its regulatory features, providing a molecular basis for understanding subgenome biogenesis and developing novel anti-viral strategies.
  • |*COVID-19/genetics/metabolism[MESH]
  • |*Genome, Viral[MESH]
  • |*High-Throughput Nucleotide Sequencing[MESH]
  • |*RNA, Viral/genetics/metabolism[MESH]
  • |*SARS-CoV-2/genetics/metabolism[MESH]
  • |Animals[MESH]
  • |Caco-2 Cells[MESH]
  • |Chlorocebus aethiops[MESH]
  • |Humans[MESH]


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