Literature DB >> 34911752

Combinations of slow-translating codon clusters can increase mRNA half-life in Saccharomyces cerevisiae.

Ajeet K Sharma1,2, Johannes Venezian3, Ayala Shiber4, Günter Kramer5,6, Bernd Bukau5,6, Edward P O'Brien7,8.   

Abstract

The presence of a single cluster of nonoptimal codons was found to decrease a transcript's half-life through the interaction of the ribosome-associated quality control machinery with stalled ribosomes in Saccharomyces cerevisiae The impact of multiple nonoptimal codon clusters on a transcript's half-life, however, is unknown. Using a kinetic model, we predict that inserting a second nonoptimal cluster near the 5' end can lead to synergistic effects that increase a messenger RNA's (mRNA's) half-life in S. cerevisiae Specifically, the 5' end cluster suppresses the formation of ribosome queues, reducing the interaction of ribosome-associated quality control factors with stalled ribosomes. We experimentally validate this prediction by introducing two nonoptimal clusters into three different genes and find that their mRNA half-life increases up to fourfold. The model also predicts that in the presence of two clusters, the cluster closest to the 5' end is the primary determinant of mRNA half-life. These results suggest the "translational ramp," in which nonoptimal codons are located near the start codon and increase translational efficiency, may have the additional biological benefit of allowing downstream slow-codon clusters to be present without decreasing mRNA half-life. These results indicate that codon usage bias plays a more nuanced role in controlling cellular protein levels than previously thought.

Entities:  

Keywords:  mRNA half-life; ribosome collisions; synonymous codons

Mesh:

Substances:

Year:  2021        PMID: 34911752      PMCID: PMC8713773          DOI: 10.1073/pnas.2026362118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  51 in total

1.  Mfold web server for nucleic acid folding and hybridization prediction.

Authors:  Michael Zuker
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Ribosome collisions and translation efficiency: optimization by codon usage and mRNA destabilization.

Authors:  Namiko Mitarai; Kim Sneppen; Steen Pedersen
Journal:  J Mol Biol       Date:  2008-07-01       Impact factor: 5.469

3.  Determinants of translation speed are randomly distributed across transcripts resulting in a universal scaling of protein synthesis times.

Authors:  Ajeet K Sharma; Nabeel Ahmed; Edward P O'Brien
Journal:  Phys Rev E       Date:  2018-02       Impact factor: 2.529

4.  TTC5 mediates autoregulation of tubulin via mRNA degradation.

Authors:  Zhewang Lin; Ivana Gasic; Viswanathan Chandrasekaran; Niklas Peters; Sichen Shao; Timothy J Mitchison; Ramanujan S Hegde
Journal:  Science       Date:  2019-11-14       Impact factor: 47.728

5.  Non-optimal codon usage affects expression, structure and function of clock protein FRQ.

Authors:  Mian Zhou; Jinhu Guo; Joonseok Cha; Michael Chae; She Chen; Jose M Barral; Matthew S Sachs; Yi Liu
Journal:  Nature       Date:  2013-02-17       Impact factor: 49.962

6.  Dynamic profiling of mRNA turnover reveals gene-specific and system-wide regulation of mRNA decay.

Authors:  Sarah E Munchel; Ryan K Shultzaberger; Naoki Takizawa; Karsten Weis
Journal:  Mol Biol Cell       Date:  2011-06-16       Impact factor: 4.138

7.  Evolutionary conservation of codon optimality reveals hidden signatures of cotranslational folding.

Authors:  Sebastian Pechmann; Judith Frydman
Journal:  Nat Struct Mol Biol       Date:  2012-12-23       Impact factor: 15.369

8.  Ribosome traffic on mRNAs maps to gene ontology: genome-wide quantification of translation initiation rates and polysome size regulation.

Authors:  Luca Ciandrini; Ian Stansfield; M Carmen Romano
Journal:  PLoS Comput Biol       Date:  2013-01-31       Impact factor: 4.475

9.  The impact of ribosomal interference, codon usage, and exit tunnel interactions on translation elongation rate variation.

Authors:  Khanh Dao Duc; Yun S Song
Journal:  PLoS Genet       Date:  2018-01-16       Impact factor: 5.917

10.  Evidence of evolutionary selection for cotranslational folding.

Authors:  William M Jacobs; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-10       Impact factor: 11.205

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