Literature DB >> 20133581

Translation efficiency is determined by both codon bias and folding energy.

Tamir Tuller1, Yedael Y Waldman, Martin Kupiec, Eytan Ruppin.   

Abstract

Synonymous mutations do not alter the protein produced yet can have a significant effect on protein levels. The mechanisms by which this effect is achieved are controversial; although some previous studies have suggested that codon bias is the most important determinant of translation efficiency, a recent study suggested that mRNA folding at the beginning of genes is the dominant factor via its effect on translation initiation. Using the Escherichia coli and Saccharomyces cerevisiae transcriptomes, we conducted a genome-scale study aiming at dissecting the determinants of translation efficiency. There is a significant association between codon bias and translation efficiency across all endogenous genes in E. coli and S. cerevisiae but no association between folding energy and translation efficiency, demonstrating the role of codon bias as an important determinant of translation efficiency. However, folding energy does modulate the strength of association between codon bias and translation efficiency, which is maximized at very weak mRNA folding (i.e., high folding energy) levels. We find a strong correlation between the genomic profiles of ribosomal density and genomic profiles of folding energy across mRNA, suggesting that lower folding energies slow down the ribosomes and decrease translation efficiency. Accordingly, we find that selection forces act near uniformly to decrease the folding energy at the beginning of genes. In summary, these findings testify that in endogenous genes, folding energy affects translation efficiency in a global manner that is not related to the expression levels of individual genes, and thus cannot be detected by correlation with their expression levels.

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Year:  2010        PMID: 20133581      PMCID: PMC2840511          DOI: 10.1073/pnas.0909910107

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


  28 in total

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Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

2.  Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics.

Authors:  Paola Picotti; Bernd Bodenmiller; Lukas N Mueller; Bruno Domon; Ruedi Aebersold
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3.  Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise.

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Journal:  Nature       Date:  2006-05-14       Impact factor: 49.962

4.  Coding-sequence determinants of gene expression in Escherichia coli.

Authors:  Grzegorz Kudla; Andrew W Murray; David Tollervey; Joshua B Plotkin
Journal:  Science       Date:  2009-04-10       Impact factor: 47.728

5.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

6.  Widespread selection for local RNA secondary structure in coding regions of bacterial genes.

Authors:  Luba Katz; Christopher B Burge
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

7.  Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling.

Authors:  Nicholas T Ingolia; Sina Ghaemmaghami; John R S Newman; Jonathan S Weissman
Journal:  Science       Date:  2009-02-12       Impact factor: 47.728

8.  Comparative proteomic and transcriptomic profiling of the fission yeast Schizosaccharomyces pombe.

Authors:  Michael W Schmidt; Andres Houseman; Alexander R Ivanov; Dieter A Wolf
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9.  Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans.

Authors:  Johan Malmström; Martin Beck; Alexander Schmidt; Vinzenz Lange; Eric W Deutsch; Ruedi Aebersold
Journal:  Nature       Date:  2009-07-15       Impact factor: 49.962

10.  Determinants of protein abundance and translation efficiency in S. cerevisiae.

Authors:  Tamir Tuller; Martin Kupiec; Eytan Ruppin
Journal:  PLoS Comput Biol       Date:  2007-12       Impact factor: 4.475

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  258 in total

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Authors:  Tamir Tuller
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3.  Multifactorial determinants of protein expression in prokaryotic open reading frames.

Authors:  Malin Allert; J Colin Cox; Homme W Hellinga
Journal:  J Mol Biol       Date:  2010-08-18       Impact factor: 5.469

Review 4.  The Code of Silence: Widespread Associations Between Synonymous Codon Biases and Gene Function.

Authors:  Fran Supek
Journal:  J Mol Evol       Date:  2015-11-04       Impact factor: 2.395

5.  Control of translation efficiency in yeast by codon-anticodon interactions.

Authors:  Daniel P Letzring; Kimberly M Dean; Elizabeth J Grayhack
Journal:  RNA       Date:  2010-10-22       Impact factor: 4.942

6.  Ribosome flow model with positive feedback.

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Journal:  J R Soc Interface       Date:  2013-05-29       Impact factor: 4.118

7.  Characterization of immune response elicited by the recombinant outer membrane protein OmpF of Aeromonas hydrophila, a potential vaccine candidate in murine model.

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Journal:  Mol Biol Rep       Date:  2014-01-17       Impact factor: 2.316

Review 8.  Genomic era analyses of RNA secondary structure and RNA-binding proteins reveal their significance to post-transcriptional regulation in plants.

Authors:  Ian M Silverman; Fan Li; Brian D Gregory
Journal:  Plant Sci       Date:  2013-02-01       Impact factor: 4.729

9.  Synonymous nucleotide modification of the KCNH2 gene affects both mRNA characteristics and translation of the encoded hERG ion channel.

Authors:  Alexander C Bertalovitz; Marika L Osterbur Badhey; Thomas V McDonald
Journal:  J Biol Chem       Date:  2018-06-15       Impact factor: 5.157

10.  Pervasive Regulatory Functions of mRNA Structure Revealed by High-Resolution SHAPE Probing.

Authors:  Anthony M Mustoe; Steven Busan; Greggory M Rice; Christine E Hajdin; Brant K Peterson; Vera M Ruda; Neil Kubica; Razvan Nutiu; Jeremy L Baryza; Kevin M Weeks
Journal:  Cell       Date:  2018-03-15       Impact factor: 41.582

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