Literature DB >> 20308095

Forces that influence the evolution of codon bias.

Paul M Sharp1, Laura R Emery, Kai Zeng.   

Abstract

The frequencies of alternative synonymous codons vary both among species and among genes from the same genome. These patterns have been inferred to reflect the action of natural selection. Here we evaluate this in bacteria. While intragenomic variation in many species is consistent with selection favouring translationally optimal codons, much of the variation among species appears to be due to biased patterns of mutation. The strength of selection on codon usage can be estimated by two different approaches. First, the extent of bias in favour of translationally optimal codons in highly expressed genes, compared to that in genes where selection is weak, reveals the long-term effectiveness of selection. Here we show that the strength of selected codon usage bias is highly correlated with bacterial growth rate, suggesting that selection has favoured translational efficiency. Second, the pattern of bias towards optimal codons at polymorphic sites reveals the ongoing action of selection. Using this approach we obtained results that were completely consistent with the first method; importantly, the frequency spectra of optimal codons at polymorphic sites were similar to those predicted under an equilibrium model. Highly expressed genes in Escherichia coli appear to be under continuing strong selection, whereas selection is very weak in genes expressed at low levels.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20308095      PMCID: PMC2871821          DOI: 10.1098/rstb.2009.0305

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  67 in total

1.  A correlation between the compositions of deoxyribonucleic and ribonucleic acids.

Authors:  A N BELOZERSKY; A S SPIRIN
Journal:  Nature       Date:  1958-07-12       Impact factor: 49.962

2.  Correlations between genomic GC levels and optimal growth temperatures in prokaryotes.

Authors:  Héctor Musto; Hugo Naya; Alejandro Zavala; Héctor Romero; Fernando Alvarez-Valín; Giorgio Bernardi
Journal:  FEBS Lett       Date:  2004-08-27       Impact factor: 4.124

3.  Site-specific codon bias in bacteria.

Authors:  J M Smith; N H Smith
Journal:  Genetics       Date:  1996-03       Impact factor: 4.562

4.  Codon bias in Escherichia coli: the influence of codon context on mutation and selection.

Authors:  O G Berg; P J Silva
Journal:  Nucleic Acids Res       Date:  1997-04-01       Impact factor: 16.971

5.  Compositional constraints and genome evolution.

Authors:  G Bernardi; G Bernardi
Journal:  J Mol Evol       Date:  1986       Impact factor: 2.395

6.  Patterns of protein synthesis in E. coli: a catalog of the amount of 140 individual proteins at different growth rates.

Authors:  S Pedersen; P L Bloch; S Reeh; F C Neidhardt
Journal:  Cell       Date:  1978-05       Impact factor: 41.582

7.  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

8.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

9.  Base composition skews, replication orientation, and gene orientation in 12 prokaryote genomes.

Authors:  M J McLean; K H Wolfe; K M Devine
Journal:  J Mol Evol       Date:  1998-12       Impact factor: 2.395

10.  Analysis of core housekeeping and virulence genes reveals cryptic lineages of Clostridium perfringens that are associated with distinct disease presentations.

Authors:  Alejandro P Rooney; James L Swezey; Robert Friedman; David W Hecht; Carol W Maddox
Journal:  Genetics       Date:  2006-02-19       Impact factor: 4.562

View more
  121 in total

1.  The population genetics of mutations: good, bad and indifferent.

Authors:  Laurence Loewe; William G Hill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

2.  Stabilizing selection, purifying selection, and mutational bias in finite populations.

Authors:  Brian Charlesworth
Journal:  Genetics       Date:  2013-05-24       Impact factor: 4.562

3.  Gene expression, nucleotide composition and codon usage bias of genes associated with human Y chromosome.

Authors:  Monisha Nath Choudhury; Arif Uddin; Supriyo Chakraborty
Journal:  Genetica       Date:  2017-04-18       Impact factor: 1.082

4.  Computational analysis of functional long noncoding RNAs reveals lack of peptide-coding capacity and parallels with 3' UTRs.

Authors:  Farshad Niazi; Saba Valadkhan
Journal:  RNA       Date:  2012-02-23       Impact factor: 4.942

5.  Selective pressure dominates the synonymous codon usage in parvoviridae.

Authors:  Sheng-Lin Shi; Yi-Ren Jiang; Yan-Qun Liu; Run-Xi Xia; Li Qin
Journal:  Virus Genes       Date:  2012-09-21       Impact factor: 2.332

6.  A selective force favoring increased G+C content in bacterial genes.

Authors:  Rahul Raghavan; Yogeshwar D Kelkar; Howard Ochman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

Review 7.  Evaluating evolutionary models of stress-induced mutagenesis in bacteria.

Authors:  R Craig MacLean; Clara Torres-Barceló; Richard Moxon
Journal:  Nat Rev Genet       Date:  2013-02-12       Impact factor: 53.242

8.  Purifying selection, drift, and reversible mutation with arbitrarily high mutation rates.

Authors:  Brian Charlesworth; Kavita Jain
Journal:  Genetics       Date:  2014-09-16       Impact factor: 4.562

9.  The birth of a bacterial tRNA gene by large-scale, tandem duplication events.

Authors:  Gökçe B Ayan; Hye Jin Park; Jenna Gallie
Journal:  Elife       Date:  2020-10-30       Impact factor: 8.140

10.  Modeling compositional dynamics based on GC and purine contents of protein-coding sequences.

Authors:  Zhang Zhang; Jun Yu
Journal:  Biol Direct       Date:  2010-11-08       Impact factor: 4.540

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.