Literature DB >> 30420414

'Stop' in protein synthesis is modulated with exquisite subtlety by an extended RNA translation signal.

Warren P Tate1, Andrew G Cridge2, Chris M Brown2.   

Abstract

Translational stop codons, UAA, UAG, and UGA, form an integral part of the universal genetic code. They are of significant interest today for their underlying fundamental role in terminating protein synthesis, but also for their potential utilisation for programmed alternative translation events. In diverse organisms, UAA has wide usage, but it is puzzling that the high fidelity UAG is selected against and yet UGA, vulnerable to suppression, is widely used, particularly in those archaeal and bacterial genomes with a high GC content. In canonical protein synthesis, stop codons are interpreted by protein release factors that structurally and functionally mimic decoding tRNAs and occupy the decoding site on the ribosome. The release factors make close contact with the decoding complex through multiple interactions. Correct interactions cause conformational changes resulting in new and enhanced contacts with the ribosome, particularly between specific bases in the mRNA and rRNA. The base following the stop codon (fourth or +4 base) may strongly influence decoding efficiency, facilitating alternative non-canonical events like frameshifting or selenocysteine incorporation. The fourth base is drawn into the decoding site with a compacted stop codon in the eukaryotic termination complex. Surprisingly, mRNA sequences upstream and downstream of this core tetranucleotide signal have a significant influence on the strength of the signal. Since nine bases downstream of the stop codon are within the mRNA channel, their interactions with rRNA, and r-proteins may affect efficiency. With this understanding, it is now possible to design stop signals of desired strength for specific applied purposes.
© 2018 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Entities:  

Keywords:  codon usage; readthrough; stop codon; termination; translation; translation control

Mesh:

Substances:

Year:  2018        PMID: 30420414     DOI: 10.1042/BST20180190

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  9 in total

1.  CTELS: A Cell-Free System for the Analysis of Translation Termination Rate.

Authors:  Kseniya A Lashkevich; Valeriya I Shlyk; Artem S Kushchenko; Vadim N Gladyshev; Elena Z Alkalaeva; Sergey E Dmitriev
Journal:  Biomolecules       Date:  2020-06-16

2.  Targeting Translation Termination Machinery with Antisense Oligonucleotides for Diseases Caused by Nonsense Mutations.

Authors:  Lulu Huang; Mariam Aghajan; Tianna Quesenberry; Audrey Low; Susan F Murray; Brett P Monia; Shuling Guo
Journal:  Nucleic Acid Ther       Date:  2019-05-09       Impact factor: 5.486

3.  A fully orthogonal system for protein synthesis in bacterial cells.

Authors:  Nikolay A Aleksashin; Teresa Szal; Anne E d'Aquino; Michael C Jewett; Nora Vázquez-Laslop; Alexander S Mankin
Journal:  Nat Commun       Date:  2020-04-20       Impact factor: 14.919

4.  uS3/Rps3 controls fidelity of translation termination and programmed stop codon readthrough in co-operation with eIF3.

Authors:  Kristýna Poncová; Susan Wagner; Myrte Esmeralda Jansen; Petra Beznosková; Stanislava Gunišová; Anna Herrmannová; Jakub Zeman; Jinsheng Dong; Leoš Shivaya Valášek
Journal:  Nucleic Acids Res       Date:  2019-12-02       Impact factor: 16.971

Review 5.  UPF1-Mediated RNA Decay-Danse Macabre in a Cloud.

Authors:  Daria Lavysh; Gabriele Neu-Yilik
Journal:  Biomolecules       Date:  2020-07-04

Review 6.  Molecular Insights into Determinants of Translational Readthrough and Implications for Nonsense Suppression Approaches.

Authors:  Silvia Lombardi; Maria Francesca Testa; Mirko Pinotti; Alessio Branchini
Journal:  Int J Mol Sci       Date:  2020-12-11       Impact factor: 5.923

7.  Cellular senescence limits translational readthrough.

Authors:  Neylen Del Toro; Frédéric Lessard; Jacob Bouchard; Nasrin Mobasheri; Jordan Guillon; Sebastian Igelmann; Sarah Tardif; Tony Buffard; Véronique Bourdeau; Léa Brakier-Gingras; Gerardo Ferbeyre
Journal:  Biol Open       Date:  2021-12-02       Impact factor: 2.422

8.  In eubacteria, unlike eukaryotes, there is no evidence for selection favouring fail-safe 3' additional stop codons.

Authors:  Alexander T Ho; Laurence D Hurst
Journal:  PLoS Genet       Date:  2019-09-17       Impact factor: 5.917

9.  Effective Population Size Predicts Local Rates but Not Local Mitigation of Read-through Errors.

Authors:  Alexander T Ho; Laurence D Hurst
Journal:  Mol Biol Evol       Date:  2021-01-04       Impact factor: 16.240

  9 in total

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