Literature DB >> 16586017

Protein evolutionary rates correlate with expression independently of synonymous substitutions in Helicobacter pylori.

Björn Sällström1, Ramy A Arnaout, Wagied Davids, Pär Bjelkmar, Siv G E Andersson.   

Abstract

In free-living microorganisms, such as Escherichia coli and Saccharomyces cerevisiae, both synonymous and nonsynonymous substitution frequencies correlate with expression levels. Here, we have tested the hypothesis that the correlation between amino acid substitution rates and expression is a by-product of selection for codon bias and translational efficiency in highly expressed genes. To this end, we have examined the correlation between protein evolutionary rates and expression in the human gastric pathogen Helicobacter pylori, where the absence of selection on synonymous sites enables the two types of substitutions to be uncoupled. The results revealed a statistically significant negative correlation between expression levels and nonsynonymous substitutions in both H. pylori and E. coli. We also found that neighboring genes located on the same, but not on opposite strands, evolve at significantly more similar rates than random gene pairs, as expected by co-expression of genes located in the same operon. However, the two species differ in that synonymous substitutions show a strand-specific pattern in E. coli, whereas the weak similarity in synonymous substitutions for neighbors in H. pylori is independent of gene orientation. These results suggest a direct influence of expression levels on nonsynonymous substitution frequencies independent of codon bias and selective constraints on synonymous sites.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16586017     DOI: 10.1007/s00239-005-0104-5

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  86 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.  Converging on a general model of protein evolution.

Authors:  Joshua T Herbeck; Dennis P Wall
Journal:  Trends Biotechnol       Date:  2005-10       Impact factor: 19.536

3.  LIGAND: chemical database for enzyme reactions.

Authors:  S Goto; T Nishioka; M Kanehisa
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

Review 4.  Common themes in microbial pathogenicity revisited.

Authors:  B B Finlay; S Falkow
Journal:  Microbiol Mol Biol Rev       Date:  1997-06       Impact factor: 11.056

5.  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

6.  The focusing positions of polypeptides in immobilized pH gradients can be predicted from their amino acid sequences.

Authors:  B Bjellqvist; G J Hughes; C Pasquali; N Paquet; F Ravier; J C Sanchez; S Frutiger; D Hochstrasser
Journal:  Electrophoresis       Date:  1993-10       Impact factor: 3.535

Review 7.  A new method for estimating synonymous and nonsynonymous rates of nucleotide substitution considering the relative likelihood of nucleotide and codon changes.

Authors:  W H Li; C I Wu; C C Luo
Journal:  Mol Biol Evol       Date:  1985-03       Impact factor: 16.240

8.  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

9.  Consequences of reductive evolution for gene expression in an obligate endosymbiont.

Authors:  Jennifer L Wilcox; Helen E Dunbar; Russell D Wolfinger; Nancy A Moran
Journal:  Mol Microbiol       Date:  2003-06       Impact factor: 3.501

10.  A simple dependence between protein evolution rate and the number of protein-protein interactions.

Authors:  Hunter B Fraser; Dennis P Wall; Aaron E Hirsh
Journal:  BMC Evol Biol       Date:  2003-05-23       Impact factor: 3.260

View more
  2 in total

Review 1.  Three independent determinants of protein evolutionary rate.

Authors:  Sun Shim Choi; Sridhar Hannenhalli
Journal:  J Mol Evol       Date:  2013-02-12       Impact factor: 2.395

2.  The evolutionary trajectory of the mating-type (mat) genes in Neurospora relates to reproductive behavior of taxa.

Authors:  Lotta Wik; Magnus Karlsson; Hanna Johannesson
Journal:  BMC Evol Biol       Date:  2008-04-11       Impact factor: 3.260

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.