Sign in
GenomicsGenome biology
Peer-reviewed journal article

Quantitative Principles of cis-translational control by general mRNA sequence features in eukaryotes

Jingyi Jessica LiiD, Guo-Liang ChewiD, Mark D. BigginiD

Abstract

BACKGROUNDGeneral translational cis-elements are present in the mRNAs of all genes and affect the recruitment, assembly, and progress of preinitiation complexes and the ribosome under many physiological states. These elements are: mRNA folding, upstream open reading frames, specific nucleotides flanking the initiating AUG codon, protein coding sequence length, and codon usage. The quantitative contributions of these sequence features and how and why they coordinate together to control translation rates are not well understood.\n\nRESULTSHere we show that these sequence features specify 42%-81% of the variance in translation rates in S. cerevisiae, S. pombe, Arabidopsis thaliana, M. musculus, and H. Sapiens. We establish that control by RNA secondary structure is chiefly mediated by highly folded 25-60 nucleotide segments within mRNA 5 regions; that changes in tri-nucleotide frequencies between highly and poorly translated 5 regions are correlated between all species; and that control by distinct biochemical processes is extensively correlated as is regulation by a single process acting in different parts of the same mRNA.\n\nCONCLUSIONSOur work shows that the general features control a much larger fraction of the variance in translation rates than previously realized. We provide a more detailed and accurate understanding of the aspects of RNA structure that direct translation in diverse eukaryotes. In addition, we note that the strongly correlated regulation between and within cis-control features will cause more even densities of translational complexes along each mRNA and therefore more efficient use of the translation machinery by the cell.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLi '17Weinberg '15Giess '19Kazana '23Park '19Wu '26
72% semantic matchGenomics
Jingyi Jessica Li, Guo-Liang Chew, Mark D. Biggin·Nucleic Acids Research·Sep 25, 2017· 35 citations