Literature DB >> 31353208

Systematic Detection of Amino Acid Substitutions in Proteomes Reveals Mechanistic Basis of Ribosome Errors and Selection for Translation Fidelity.

Ernest Mordret1, Orna Dahan2, Omer Asraf2, Roni Rak2, Avia Yehonadav2, Georgina D Barnabas3, Jürgen Cox4, Tamar Geiger5, Ariel B Lindner6, Yitzhak Pilpel7.   

Abstract

The translation machinery and the genes it decodes co-evolved to achieve production throughput and accuracy. Nonetheless, translation errors are frequent, and they affect physiology and protein evolution. Mapping translation errors in proteomes and understanding their causes is hindered by lack of a proteome-wide experimental methodology. We present the first methodology for systematic detection and quantification of errors in entire proteomes. Following proteome mass spectrometry, we identify, in E. coli and yeast, peptides whose mass indicates specific amino acid substitutions. Most substitutions result from codon-anticodon mispairing. Errors occur at sites that evolve rapidly and that minimally affect energetic stability, indicating selection for high translation fidelity. Ribosome density data show that errors occur at sites where ribosome velocity is higher, demonstrating a trade-off between speed and accuracy. Treating bacteria with an aminoglycoside antibiotic or deprivation of specific amino acids resulted in particular patterns of errors. These results reveal a mechanistic and evolutionary basis for translation fidelity.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  anticodon; codon; fidelity; mass spectrometry; misloading; mispairing; ribosome errors; tRNA; translation

Mesh:

Substances:

Year:  2019        PMID: 31353208     DOI: 10.1016/j.molcel.2019.06.041

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  26 in total

Review 1.  The Boggarts of biology: how non-genetic changes influence the genotype.

Authors:  Laasya Samhita
Journal:  Curr Genet       Date:  2020-10-10       Impact factor: 3.886

2.  Constraints on error rate revealed by computational study of G•U tautomerization in translation.

Authors:  Andriy Kazantsev; Zoya Ignatova
Journal:  Nucleic Acids Res       Date:  2021-11-18       Impact factor: 16.971

3.  Dynamic changes in tRNA modifications and abundance during T cell activation.

Authors:  Roni Rak; Michal Polonsky; Inbal Eizenberg-Magar; Yufeng Mo; Yuriko Sakaguchi; Orel Mizrahi; Aharon Nachshon; Shlomit Reich-Zeliger; Noam Stern-Ginossar; Orna Dahan; Tsutomu Suzuki; Nir Friedman; Yitzhak Pilpel
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-19       Impact factor: 11.205

Review 4.  Mechanisms of protein evolution.

Authors:  Vijay Jayaraman; Saacnicteh Toledo-Patiño; Lianet Noda-García; Paola Laurino
Journal:  Protein Sci       Date:  2022-07       Impact factor: 6.993

Review 5.  Gene product diversity: adaptive or not?

Authors:  Jianzhi Zhang; Chuan Xu
Journal:  Trends Genet       Date:  2022-05-28       Impact factor: 11.821

6.  Quantifying shifts in natural selection on codon usage between protein regions: a population genetics approach.

Authors:  Alexander L Cope; Michael A Gilchrist
Journal:  BMC Genomics       Date:  2022-05-30       Impact factor: 4.547

7.  Synonymous but Not Silent: The Codon Usage Code for Gene Expression and Protein Folding.

Authors:  Yi Liu; Qian Yang; Fangzhou Zhao
Journal:  Annu Rev Biochem       Date:  2021-01-13       Impact factor: 23.643

8.  The impact of mistranslation on phenotypic variability and fitness.

Authors:  Laasya Samhita; Parth K Raval; Godwin Stephenson; Shashi Thutupalli; Deepa Agashe
Journal:  Evolution       Date:  2021-02-02       Impact factor: 4.171

Review 9.  A code within the genetic code: codon usage regulates co-translational protein folding.

Authors:  Yi Liu
Journal:  Cell Commun Signal       Date:  2020-09-09       Impact factor: 5.712

10.  Global mistranslation increases cell survival under stress in Escherichia coli.

Authors:  Laasya Samhita; Parth K Raval; Deepa Agashe
Journal:  PLoS Genet       Date:  2020-03-09       Impact factor: 5.917

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.