Literature DB >> 26760206

Codon influence on protein expression in E. coli correlates with mRNA levels.

Reka Letso1,2, Helen Neely1,2, W Nicholson Price1,2, Grégory Boël1,2,3, Kam-Ho Wong1,2, Min Su1,2, Jon Luff1,2, Mayank Valecha1,2, John K Everett2,4, Thomas B Acton2,4, Rong Xiao2,4, Gaetano T Montelione2,4,5, Daniel P Aalberts6, John F Hunt1,2.   

Abstract

Degeneracy in the genetic code, which enables a single protein to be encoded by a multitude of synonymous gene sequences, has an important role in regulating protein expression, but substantial uncertainty exists concerning the details of this phenomenon. Here we analyse the sequence features influencing protein expression levels in 6,348 experiments using bacteriophage T7 polymerase to synthesize messenger RNA in Escherichia coli. Logistic regression yields a new codon-influence metric that correlates only weakly with genomic codon-usage frequency, but strongly with global physiological protein concentrations and also mRNA concentrations and lifetimes in vivo. Overall, the codon content influences protein expression more strongly than mRNA-folding parameters, although the latter dominate in the initial ~16 codons. Genes redesigned based on our analyses are transcribed with unaltered efficiency but translated with higher efficiency in vitro. The less efficiently translated native sequences show greatly reduced mRNA levels in vivo. Our results suggest that codon content modulates a kinetic competition between protein elongation and mRNA degradation that is a central feature of the physiology and also possibly the regulation of translation in E. coli.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26760206      PMCID: PMC5054687          DOI: 10.1038/nature16509

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  58 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  Causes and effects of N-terminal codon bias in bacterial genes.

Authors:  Daniel B Goodman; George M Church; Sriram Kosuri
Journal:  Science       Date:  2013-09-26       Impact factor: 47.728

3.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

4.  Fine tuning of ribosomal accuracy.

Authors:  J Ninio
Journal:  FEBS Lett       Date:  1986-02-03       Impact factor: 4.124

5.  Translation elongation factor EF-P alleviates ribosome stalling at polyproline stretches.

Authors:  Susanne Ude; Jürgen Lassak; Agata L Starosta; Tobias Kraxenberger; Daniel N Wilson; Kirsten Jung
Journal:  Science       Date:  2012-12-13       Impact factor: 47.728

6.  Co-variation of tRNA abundance and codon usage in Escherichia coli at different growth rates.

Authors:  H Dong; L Nilsson; C G Kurland
Journal:  J Mol Biol       Date:  1996-08-02       Impact factor: 5.469

7.  Adenine-containing codons enhance protein synthesis by promoting mRNA binding to ribosomal 30S subunits provided that specific tRNAs are not exhausted.

Authors:  M A Castillo-Méndez; E Jacinto-Loeza; J J Olivares-Trejo; G Guarneros-Peña; J Hernández-Sánchez
Journal:  Biochimie       Date:  2011-09-29       Impact factor: 4.079

8.  Translation of CGA codon repeats in yeast involves quality control components and ribosomal protein L1.

Authors:  Daniel P Letzring; Andrew S Wolf; Christina E Brule; Elizabeth J Grayhack
Journal:  RNA       Date:  2013-07-03       Impact factor: 4.942

9.  Genome-wide study of mRNA degradation and transcript elongation in Escherichia coli.

Authors:  Huiyi Chen; Katsuyuki Shiroguchi; Hao Ge; Xiaoliang Sunney Xie
Journal:  Mol Syst Biol       Date:  2015-01-12       Impact factor: 11.429

10.  Protein abundance profiling of the Escherichia coli cytosol.

Authors:  Yasushi Ishihama; Thorsten Schmidt; Juri Rappsilber; Matthias Mann; F Ulrich Hartl; Michael J Kerner; Dmitrij Frishman
Journal:  BMC Genomics       Date:  2008-02-27       Impact factor: 3.969

View more
  132 in total

1.  Engineering carboxypeptidase G2 circular permutations for the design of an autoinhibited enzyme.

Authors:  Brahm J Yachnin; Sagar D Khare
Journal:  Protein Eng Des Sel       Date:  2017-04-01       Impact factor: 1.650

2.  Codon optimality and mRNA decay.

Authors:  Yuriko Harigaya; Roy Parker
Journal:  Cell Res       Date:  2016-11-04       Impact factor: 25.617

3.  FRETting about the affinity of bimolecular protein-protein interactions.

Authors:  Tao Lin; Brandon L Scott; Adam D Hoppe; Suvobrata Chakravarty
Journal:  Protein Sci       Date:  2018-10       Impact factor: 6.725

4.  Poor codon optimality as a signal to degrade transcripts with frameshifts.

Authors:  Miquel Àngel Schikora-Tamarit; Lucas B Carey
Journal:  Transcription       Date:  2018-08-28

5.  Optimization of Cephalosporin C Acylase Expression in Escherichia coli by High-Throughput Screening a Constitutive Promoter Mutant library.

Authors:  Hongxu Sun; Tianjiao Liu; Hui Luo; Zihao Nie; Yanhong Chang; Huimin Yu; Zhongyao Shen
Journal:  Appl Biochem Biotechnol       Date:  2021-01-06       Impact factor: 2.926

6.  Non-invasive measurement of mRNA decay reveals translation initiation as the major determinant of mRNA stability.

Authors:  Christopher F Mugler; Stephanie Heinrich; Leon Y Chan; Pascal Vallotton; Karsten Weis
Journal:  Elife       Date:  2018-09-07       Impact factor: 8.140

7.  Codon usage regulates human KRAS expression at both transcriptional and translational levels.

Authors:  Jingjing Fu; Yunkun Dang; Christopher Counter; Yi Liu
Journal:  J Biol Chem       Date:  2018-10-01       Impact factor: 5.157

8.  Codon usage biases co-evolve with transcription termination machinery to suppress premature cleavage and polyadenylation.

Authors:  Zhipeng Zhou; Yunkun Dang; Mian Zhou; Haiyan Yuan; Yi Liu
Journal:  Elife       Date:  2018-03-16       Impact factor: 8.140

9.  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

10.  Mutation bias within oncogene families is related to proliferation-specific codon usage.

Authors:  Hannah Benisty; Marc Weber; Xavier Hernandez-Alias; Martin H Schaefer; Luis Serrano
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-16       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.