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

Authors :
Mark D. Biggin
Guo-Liang Chew
Jingyi Jessica Li
Source :
Genome Biology, Genome biology, vol 20, iss 1, Genome Biology, Vol 20, Iss 1, Pp 1-24 (2019)
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

BACKGROUNDGeneral translationalcis-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.RESULTSHere we show that these sequence features specify 42%–81% of the variance in translation rates inS.cerevisiae, S.pombe, Arabidopsis thaliana, M.musculus, andH.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.CONCLUSIONSOur 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 withincis-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.

Details

ISSN :
1474760X
Volume :
20
Database :
OpenAIRE
Journal :
Genome Biology
Accession number :
edsair.doi.dedup.....11358e230e5810ccaf2ea6bee66502f7
Full Text :
https://doi.org/10.1186/s13059-019-1761-9