Literature DB >> 25636133

How do bacteria tune translation efficiency?

Gene-Wei Li1.   

Abstract

Bacterial proteins are translated with precisely determined rates to meet cellular demand. In contrast, efforts to express recombinant proteins in bacteria are often met with large unpredictability in their levels of translation. The disconnect between translation of natural and synthetic mRNA stems from the lack of understanding of the strategy used by bacteria to tune translation efficiency (TE). The development of array-based oligonucleotide synthesis and ribosome profiling provides new approaches to address this issue. Although the major determinant for TE is still unknown, these high-throughput studies point out a statistically significant but mild contribution from the mRNA secondary structure around the start codon. Here I summarize those findings and provide a theoretical framework for measuring TE.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25636133      PMCID: PMC4678177          DOI: 10.1016/j.mib.2015.01.001

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  44 in total

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  35 in total

1.  Genome-Wide Quantitation of Protein Synthesis Rates in Bacteria.

Authors:  Grace E Johnson; Gene-Wei Li
Journal:  Methods Enzymol       Date:  2018-09-22       Impact factor: 1.600

2.  Modelling and measuring intracellular competition for finite resources during gene expression.

Authors:  Renana Sabi; Tamir Tuller
Journal:  J R Soc Interface       Date:  2019-05-31       Impact factor: 4.118

3.  Dynamic translation regulation in Caulobacter cell cycle control.

Authors:  Jared M Schrader; Gene-Wei Li; W Seth Childers; Adam M Perez; Jonathan S Weissman; Lucy Shapiro; Harley H McAdams
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-17       Impact factor: 11.205

Review 4.  The Need for Integrated Approaches in Metabolic Engineering.

Authors:  Anna Lechner; Elizabeth Brunk; Jay D Keasling
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-11-01       Impact factor: 10.005

5.  Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli.

Authors:  Michael G Napolitano; Matthieu Landon; Christopher J Gregg; Marc J Lajoie; Lakshmi Govindarajan; Joshua A Mosberg; Gleb Kuznetsov; Daniel B Goodman; Oscar Vargas-Rodriguez; Farren J Isaacs; Dieter Söll; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-06       Impact factor: 11.205

6.  From reporters to endogenous genes: the impact of the first five codons on translation efficiency in Escherichia coli.

Authors:  Mariana H Moreira; Géssica C Barros; Rodrigo D Requião; Silvana Rossetto; Tatiana Domitrovic; Fernando L Palhano
Journal:  RNA Biol       Date:  2019-09-05       Impact factor: 4.652

7.  Translation efficiency is maintained at elevated temperature in Escherichia coli.

Authors:  Gareth J Morgan; David H Burkhardt; Jeffery W Kelly; Evan T Powers
Journal:  J Biol Chem       Date:  2017-11-28       Impact factor: 5.157

8.  Production of Protein-Complex Components Is Stoichiometric and Lacks General Feedback Regulation in Eukaryotes.

Authors:  James C Taggart; Gene-Wei Li
Journal:  Cell Syst       Date:  2018-12-12       Impact factor: 10.304

9.  Evaluation of 244,000 synthetic sequences reveals design principles to optimize translation in Escherichia coli.

Authors:  Guillaume Cambray; Joao C Guimaraes; Adam Paul Arkin
Journal:  Nat Biotechnol       Date:  2018-09-24       Impact factor: 54.908

10.  Sigma factor dependent translational activation in Bacillus subtilis.

Authors:  Dylan M McCormick; Jean-Benoît Lalanne; Tammy C T Lan; Silvi Rouskin; Gene-Wei Li
Journal:  RNA       Date:  2021-04-29       Impact factor: 5.636

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