Literature DB >> 10742056

Selective constraints, amino acid composition, and the rate of protein evolution.

N J Tourasse1, W H Li.   

Abstract

What are the major forces governing protein evolution? A common view is that proteins with strong structural and functional requirements evolve more slowly than proteins with weak constraints, because a stringent negative selection pressure limits the number of substitutions. In contrast, Graur claimed that the substitution rate of a protein is mainly determined by its amino acid composition and the changeabilities of amino acids. In this paper, however, we found that the relative changeabilities of amino acids in mammalian proteins are different for transmembranal and nontransmembranal segments, which have very distinct structural requirements. This indicates that the changeability of a given residue is influenced by the structural and functional context. We also reexamined the relationship between substitution rate and amino acid composition. Indeed, the two kinds of segments exhibit contrasting amino acid compositions: transmembranal regions are made up mainly of hydrophobic residues (a total frequency of approximately 60%) and are very poor in polar amino acids (<5%), whereas nontransmembranal segments have frequencies of 30% and 22%, respectively. Interestingly, we found that within a given integral membrane protein, nontransmembranal segments accumulate, on average, twice as many substitutions as transmembranal regions. However, regression analyses showed that the variability in amino acid frequencies among proteins cannot explain more than 30% of the variability in substitution rate for the transmembranal and nontransmembranal data sets. Furthermore, transmembranal and nontransmembranal segments evolving at the same rate in different proteins have different compositions, and the compositions of slowly evolving and rapidly evolving segments of the same type are similar. From these observations, we conclude that the rate of protein evolution is only weakly affected by amino acid composition but is mostly determined by the strength of functional requirements or selective constraints.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10742056     DOI: 10.1093/oxfordjournals.molbev.a026344

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


  58 in total

1.  Improved detection of homologous membrane proteins by inclusion of information from topology predictions.

Authors:  Maria Hedman; Hans Deloof; Gunnar Von Heijne; Arne Elofsson
Journal:  Protein Sci       Date:  2002-03       Impact factor: 6.725

2.  Natural variation in human membrane transporter genes reveals evolutionary and functional constraints.

Authors:  Maya K Leabman; Conrad C Huang; Joseph DeYoung; Elaine J Carlson; Travis R Taylor; Melanie de la Cruz; Susan J Johns; Doug Stryke; Michiko Kawamoto; Thomas J Urban; Deanna L Kroetz; Thomas E Ferrin; Andrew G Clark; Neil Risch; Ira Herskowitz; Kathleen M Giacomini
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-28       Impact factor: 11.205

3.  Classification of protein functional surfaces using structural characteristics.

Authors:  Yan Yuan Tseng; Wen-Hsiung Li
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-11       Impact factor: 11.205

4.  A collection of amino acid replacement matrices derived from clusters of orthologs.

Authors:  Rolf Olsen; William F Loomis
Journal:  J Mol Evol       Date:  2005-10-20       Impact factor: 2.395

5.  Accumulation of amino acid substitutions promotes irreversible structural changes in the hemagglutinin of human influenza AH3 virus during evolution.

Authors:  Katsuhisa Nakajima; Eri Nobusawa; Alexander Nagy; Setsuko Nakajima
Journal:  J Virol       Date:  2005-05       Impact factor: 5.103

6.  Amino-acid solvation structure in transmembrane helices from molecular dynamics simulations.

Authors:  Anna C V Johansson; Erik Lindahl
Journal:  Biophys J       Date:  2006-09-29       Impact factor: 4.033

7.  GFT projection NMR based resonance assignment of membrane proteins: application to subunit C of E. coli F(1)F (0) ATP synthase in LPPG micelles.

Authors:  Qi Zhang; Hanudatta S Atreya; Douglas E Kamen; Mark E Girvin; Thomas Szyperski
Journal:  J Biomol NMR       Date:  2008-02-14       Impact factor: 2.835

8.  Structural imperatives impose diverse evolutionary constraints on helical membrane proteins.

Authors:  Amit Oberai; Nathan H Joh; Frank K Pettit; James U Bowie
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-06       Impact factor: 11.205

9.  Evolutionary approach to predicting the binding site residues of a protein from its primary sequence.

Authors:  Yan Yuan Tseng; Wen-Hsiung Li
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-14       Impact factor: 11.205

Review 10.  Filling the Void: Proximity-Based Labeling of Proteins in Living Cells.

Authors:  Dae In Kim; Kyle J Roux
Journal:  Trends Cell Biol       Date:  2016-09-22       Impact factor: 20.808

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.