Artikel ; Online: Translation of SARS-CoV-2 gRNA Is Extremely Efficient and Competitive despite a High Degree of Secondary Structures and the Presence of an uORF.
2022 Band 14, Heft 7
Abstract: The SARS-CoV-2 infection generates up to nine different sub-genomic mRNAs (sgRNAs), in addition to the genomic RNA (gRNA). The 5'UTR of each viral mRNA shares the first 75 nucleotides (nt.) at their 5'end, called the leader, but differentiates by a ... ...
Abstract | The SARS-CoV-2 infection generates up to nine different sub-genomic mRNAs (sgRNAs), in addition to the genomic RNA (gRNA). The 5'UTR of each viral mRNA shares the first 75 nucleotides (nt.) at their 5'end, called the leader, but differentiates by a variable sequence (0 to 190 nt. long) that follows the leader. As a result, each viral mRNA has its own specific 5'UTR in term of length, RNA structure, uORF and Kozak context; each one of these characteristics could affect mRNA expression. In this study, we have measured and compared translational efficiency of each of the ten viral transcripts. Our data show that most of them are very efficiently translated in all translational systems tested. Surprisingly, the gRNA 5'UTR, which is the longest and the most structured, was also the most efficient to initiate translation. This property is conserved in the 5'UTR of SARS-CoV-1 but not in MERS-CoV strain, mainly due to the regulation imposed by the uORF. Interestingly, the translation initiation mechanism on the SARS-CoV-2 gRNA 5'UTR requires the cap structure and the components of the eIF4F complex but showed no dependence in the presence of the poly(A) tail in vitro. Our data strongly suggest that translation initiation on SARS-CoV-2 mRNAs occurs via an unusual cap-dependent mechanism. |
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Mesh-Begriff(e) | 5' Untranslated Regions ; Genomics ; Nucleic Acid Conformation ; Protein Biosynthesis ; RNA, Messenger/genetics ; SARS-CoV-2/genetics |
Chemische Substanzen | 5' Untranslated Regions ; RNA, Messenger |
Sprache | Englisch |
Erscheinungsdatum | 2022-07-08 |
Erscheinungsland | Switzerland |
Dokumenttyp | Journal Article |
ZDB-ID | 2516098-9 |
ISSN | 1999-4915 ; 1999-4915 |
ISSN (online) | 1999-4915 |
ISSN | 1999-4915 |
DOI | 10.3390/v14071505 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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