Literature DB >> 24072823

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

Daniel B Goodman1, George M Church, Sriram Kosuri.   

Abstract

Most amino acids are encoded by multiple codons, and codon choice has strong effects on protein expression. Rare codons are enriched at the N terminus of genes in most organisms, although the causes and effects of this bias are unclear. Here, we measure expression from >14,000 synthetic reporters in Escherichia coli and show that using N-terminal rare codons instead of common ones increases expression by ~14-fold (median 4-fold). We quantify how individual N-terminal codons affect expression and show that these effects shape the sequence of natural genes. Finally, we demonstrate that reduced RNA structure and not codon rarity itself is responsible for expression increases. Our observations resolve controversies over the roles of N-terminal codon bias and suggest a straightforward method for optimizing heterologous gene expression in bacteria.

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Year:  2013        PMID: 24072823     DOI: 10.1126/science.1241934

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  218 in total

1.  Predictable tuning of protein expression in bacteria.

Authors:  Mads T Bonde; Margit Pedersen; Michael S Klausen; Sheila I Jensen; Tune Wulff; Scott Harrison; Alex T Nielsen; Markus J Herrgård; Morten O A Sommer
Journal:  Nat Methods       Date:  2016-01-11       Impact factor: 28.547

Review 2.  The Code of Silence: Widespread Associations Between Synonymous Codon Biases and Gene Function.

Authors:  Fran Supek
Journal:  J Mol Evol       Date:  2015-11-04       Impact factor: 2.395

3.  Precise quantification of translation inhibition by mRNA structures that overlap with the ribosomal footprint in N-terminal coding sequences.

Authors:  Amin Espah Borujeni; Daniel Cetnar; Iman Farasat; Ashlee Smith; Natasha Lundgren; Howard M Salis
Journal:  Nucleic Acids Res       Date:  2017-05-19       Impact factor: 16.971

4.  Rationally designed, heterologous S. cerevisiae transcripts expose novel expression determinants.

Authors:  Tuval Ben-Yehezkel; Shimshi Atar; Hadas Zur; Alon Diament; Eli Goz; Tzipy Marx; Rafael Cohen; Alexandra Dana; Anna Feldman; Ehud Shapiro; Tamir Tuller
Journal:  RNA Biol       Date:  2015       Impact factor: 4.652

5.  Quantifying cellular capacity identifies gene expression designs with reduced burden.

Authors:  Francesca Ceroni; Rhys Algar; Guy-Bart Stan; Tom Ellis
Journal:  Nat Methods       Date:  2015-04-06       Impact factor: 28.547

Review 6.  Reprogramming the genetic code.

Authors:  Daniel de la Torre; Jason W Chin
Journal:  Nat Rev Genet       Date:  2020-12-14       Impact factor: 53.242

7.  ExtRamp: a novel algorithm for extracting the ramp sequence based on the tRNA adaptation index or relative codon adaptiveness.

Authors:  Justin B Miller; Logan R Brase; Perry G Ridge
Journal:  Nucleic Acids Res       Date:  2019-02-20       Impact factor: 16.971

8.  Molecular Origins of Complex Heritability in Natural Genotype-to-Phenotype Relationships.

Authors:  Christopher M Jakobson; Daniel F Jarosz
Journal:  Cell Syst       Date:  2019-05-01       Impact factor: 10.304

Review 9.  Using synthetic biology to make cells tomorrow's test tubes.

Authors:  Hernan G Garcia; Robert C Brewster; Rob Phillips
Journal:  Integr Biol (Camb)       Date:  2016-03-08       Impact factor: 2.192

10.  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

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