Literature DB >> 34586043

Prokaryotic rRNA-mRNA interactions are involved in all translation steps and shape bacterial transcripts.

Shir Bahiri Elitzur1, Rachel Cohen-Kupiec1, Dana Yacobi1, Larissa Fine1, Boaz Apt1, Alon Diament1, Tamir Tuller1,2.   

Abstract

The well-established Shine-Dalgarno model suggests that translation initiation in bacteria is regulated via base-pairing between ribosomal RNA (rRNA) and mRNA. We used novel computational analyses and modelling of 823 bacterial genomes coupled with experiments to demonstrate that rRNA-mRNA interactions are diverse and regulate all translation steps from pre-initiation to termination. Previous research has reported the significant influence of rRNA-mRNA interactions, mainly in the initiation phase of translation. The results reported in this paper suggest that, in addition to the rRNA-mRNA interactions near the start codon that trigger initiation in bacteria, rRNA-mRNA interactions affect all sub-stages of the translation process (pre-initiation, initiation, elongation, termination). As these interactions dictate translation efficiency, they serve as an evolutionary driving force for shaping transcripts in bacteria while considering trade-offs between the effects of different interactions across different transcript regions on translation efficacy and efficiency. We observed selection for strong interactions in regions where such interactions are likely to enhance initiation, regulate early elongation, and ensure translation termination fidelity. We discovered selection against strong interactions and for intermediate interactions in coding regions and presented evidence that these patterns maximize elongation efficiency while also enhancing initiation. These finding are relevant to all biomedical disciplines due to the centrality of the translation process and the effect of rRNA-mRNA interactions on transcript evolution.

Entities:  

Keywords:  Shine-Dalgarno; protein translation in bacteria; rRNA-mRNA interaction; translation elongation; translation initiation; translation termination

Mesh:

Substances:

Year:  2021        PMID: 34586043      PMCID: PMC8782165          DOI: 10.1080/15476286.2021.1978767

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.766


  39 in total

1.  Dynamic evolution of translation initiation mechanisms in prokaryotes.

Authors:  So Nakagawa; Yoshihito Niimura; Kin-ichiro Miura; Takashi Gojobori
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-22       Impact factor: 11.205

2.  Determinant of cistron specificity in bacterial ribosomes.

Authors:  J Shine; L Dalgarno
Journal:  Nature       Date:  1975-03-06       Impact factor: 49.962

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

Authors:  Tamir Tuller; Yedael Y Waldman; Martin Kupiec; Eytan Ruppin
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-02       Impact factor: 11.205

4.  New universal rules of eukaryotic translation initiation fidelity.

Authors:  Hadas Zur; Tamir Tuller
Journal:  PLoS Comput Biol       Date:  2013-07-11       Impact factor: 4.475

Review 5.  Multiple roles of the coding sequence 5' end in gene expression regulation.

Authors:  Tamir Tuller; Hadas Zur
Journal:  Nucleic Acids Res       Date:  2014-12-12       Impact factor: 16.971

6.  Prokaryotic coding regions have little if any specific depletion of Shine-Dalgarno motifs.

Authors:  Alisa Yurovsky; Mohammad Ruhul Amin; Justin Gardin; Yuping Chen; Steve Skiena; Bruce Futcher
Journal:  PLoS One       Date:  2018-08-23       Impact factor: 3.240

7.  Estimating translational selection in eukaryotic genomes.

Authors:  Mario dos Reis; Lorenz Wernisch
Journal:  Mol Biol Evol       Date:  2008-11-25       Impact factor: 16.240

8.  The Frequency of Internal Shine-Dalgarno-like Motifs in Prokaryotes.

Authors:  Gaurav D Diwan; Deepa Agashe
Journal:  Genome Biol Evol       Date:  2016-06-14       Impact factor: 3.416

9.  Depletion of Shine-Dalgarno Sequences Within Bacterial Coding Regions Is Expression Dependent.

Authors:  Chuyue Yang; Adam J Hockenberry; Michael C Jewett; Luís A N Amaral
Journal:  G3 (Bethesda)       Date:  2016-11-08       Impact factor: 3.154

10.  High-resolution modeling of the selection on local mRNA folding strength in coding sequences across the tree of life.

Authors:  Michael Peeri; Tamir Tuller
Journal:  Genome Biol       Date:  2020-03-09       Impact factor: 13.583

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  2 in total

1.  Rapid and accurate identification of ribosomal RNA sequences via deep learning.

Authors:  Zhi-Luo Deng; Philipp C Münch; René Mreches; Alice C McHardy
Journal:  Nucleic Acids Res       Date:  2022-06-10       Impact factor: 19.160

2.  Identification of conserved slow codons that are important for protein expression and function.

Authors:  Michal Perach; Zohar Zafrir; Tamir Tuller; Oded Lewinson
Journal:  RNA Biol       Date:  2021-04-05       Impact factor: 4.652

  2 in total

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