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Coupling of Open Reading Frames by Translational Bypassing

Authors: John F. Atkins; Alan J. Herr; Raymond F. Gesteland;

Coupling of Open Reading Frames by Translational Bypassing

Abstract

▪ Abstract Translational bypassing joins the information found within two disparate open reading frames into a single polypeptide chain. The underlying mechanism centers on the decoding properties of peptidyl-transfer RNA (tRNA) and involves three stages: take-off, scanning, and landing. In take-off, the peptidyl-tRNA/messenger RNA (mRNA) complex in the P site of the ribosome dissociates, and the mRNA begins to move through the ribosome. In scanning, the peptidyl-tRNA probes the mRNA sliding through the decoding center. In landing, the peptidyl-tRNA re-pairs with a codon with which it can form a stable interaction. Although few examples of genes are known that rely on translational bypassing to couple open reading frames, ribosomes appear to have an innate capacity for bypassing. This suggests that the strategy of translational bypassing may be more common than presently appreciated. The best characterized example of this phenomenon is T4 gene 60, in which a complex set of signals stimulates bypassing of 50 nucleotides between the two open reading frames. In this review, we focus on the bypassing mechanism of gene 60 in terms of take-off, scanning, and landing.

Related Organizations
Keywords

Models, Molecular, Ribosomal Proteins, Base Sequence, Molecular Sequence Data, Peptide Chain Termination, Translational, Protein Sorting Signals, RNA, Transfer, Amino Acyl, Models, Biological, Open Reading Frames, RNA, Bacterial, RNA, Ribosomal, 23S, Genes, Bacterial, Protein Biosynthesis, RNA, Ribosomal, 16S, Amino Acid Sequence

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Average
Top 10%
Top 10%
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