Literature DB >> 14595100

An analysis of determinants of amino acids substitution rates in bacterial proteins.

Eduardo P C Rocha1, Antoine Danchin.   

Abstract

The variation of amino acid substitution rates in proteins depends on several variables. Among these, the protein's expression level, functional category, essentiality, or metabolic costs of its amino acid residues may play an important role. However, the relative importance of each variable has not yet been evaluated in comparative analyses. To this aim, we made regression analyses combining data available on these variables and on evolutionary rates, in two well-documented model bacteria, Escherichia coli and Bacillus subtilis. In both bacteria, the level of expression of the protein in the cell was by far the most important driving force constraining the amino acids substitution rate. Subsequent inclusion in the analysis of the other variables added little further information. Furthermore, when the rates of synonymous substitutions were included in the analysis of the E. coli data, only the variable expression levels remained statistically significant. The rate of nonsynonymous substitution was shown to correlate with expression levels independently of the rate of synonymous substitution. These results suggest an important direct influence of expression levels, or at least codon usage bias for translation optimization, on the rates of nonsynonymous substitutions in bacteria. They also indicate that when a control for this variable is included, essentiality plays no significant role in the rate of protein evolution in bacteria, as is the case in eukaryotes.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14595100     DOI: 10.1093/molbev/msh004

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  123 in total

1.  Bioinformatical assay of human gene morbidity.

Authors:  Fyodor A Kondrashov; Aleksey Y Ogurtsov; Alexey S Kondrashov
Journal:  Nucleic Acids Res       Date:  2004-03-12       Impact factor: 16.971

2.  Codon usage bias from tRNA's point of view: redundancy, specialization, and efficient decoding for translation optimization.

Authors:  Eduardo P C Rocha
Journal:  Genome Res       Date:  2004-10-12       Impact factor: 9.043

3.  Investment in rapid growth shapes the evolutionary rates of essential proteins.

Authors:  Sara Vieira-Silva; Marie Touchon; Sophie S Abby; Eduardo P C Rocha
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-30       Impact factor: 11.205

4.  Level of gene expression is a major determinant of protein evolution in the viral order Mononegavirales.

Authors:  Israel Pagán; Edward C Holmes; Etienne Simon-Loriere
Journal:  J Virol       Date:  2012-02-15       Impact factor: 5.103

5.  Protein misinteraction avoidance causes highly expressed proteins to evolve slowly.

Authors:  Jian-Rong Yang; Ben-Yang Liao; Shi-Mei Zhuang; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-13       Impact factor: 11.205

Review 6.  Virulence strategies of the dominant USA300 lineage of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA).

Authors:  Lance R Thurlow; Gauri S Joshi; Anthony R Richardson
Journal:  FEMS Immunol Med Microbiol       Date:  2012-03-05

7.  Unifying measures of gene function and evolution.

Authors:  Yuri I Wolf; Liran Carmel; Eugene V Koonin
Journal:  Proc Biol Sci       Date:  2006-06-22       Impact factor: 5.349

8.  Accelerated evolution of morph-biased genes in pea aphids.

Authors:  Swapna R Purandare; Ryan D Bickel; Julie Jaquiery; Claude Rispe; Jennifer A Brisson
Journal:  Mol Biol Evol       Date:  2014-04-26       Impact factor: 16.240

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

Authors:  Björn Sällström; Ramy A Arnaout; Wagied Davids; Pär Bjelkmar; Siv G E Andersson
Journal:  J Mol Evol       Date:  2006-04-01       Impact factor: 2.395

10.  Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution.

Authors:  D Allan Drummond; Claus O Wilke
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.