Literature DB >> 32601241

Disruption of evolutionarily correlated tRNA elements impairs accurate decoding.

Ha An Nguyen1,2, S Sunita1, Christine M Dunham3.   

Abstract

Bacterial transfer RNAs (tRNAs) contain evolutionarily conserved sequences and modifications that ensure uniform binding to the ribosome and optimal translational accuracy despite differences in their aminoacyl attachments and anticodon nucleotide sequences. In the tRNA anticodon stem-loop, the anticodon sequence is correlated with a base pair in the anticodon loop (nucleotides 32 and 38) to tune the binding of each tRNA to the decoding center in the ribosome. Disruption of this correlation renders the ribosome unable to distinguish correct from incorrect tRNAs. The molecular basis for how these two tRNA features combine to ensure accurate decoding is unclear. Here, we solved structures of the bacterial ribosome containing either wild-type [Formula: see text] or [Formula: see text] containing a reversed 32-38 pair on cognate and near-cognate codons. Structures of wild-type [Formula: see text] bound to the ribosome reveal 23S ribosomal RNA (rRNA) nucleotide A1913 positional changes that are dependent on whether the codon-anticodon interaction is cognate or near cognate. Further, the 32-38 pair is destabilized in the context of a near-cognate codon-anticodon pair. Reversal of the pairing in [Formula: see text] ablates A1913 movement regardless of whether the interaction is cognate or near cognate. These results demonstrate that disrupting 32-38 and anticodon sequences alters interactions with the ribosome that directly contribute to misreading.

Entities:  

Keywords:  anticodon; miscoding; ribosome; structural biology; tRNA

Mesh:

Substances:

Year:  2020        PMID: 32601241      PMCID: PMC7368331          DOI: 10.1073/pnas.2004170117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

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2.  Repurposing tRNAs for nonsense suppression.

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Journal:  Nat Commun       Date:  2021-06-22       Impact factor: 14.919

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