Causes of evolutionary rate variation among protein sites
- 19 January 2016
- journal article
- review article
- Published by Springer Nature in Nature Reviews Genetics
- Vol. 17 (2) , 109-121
Abstract
The rate of evolution varies among sites within proteins owing to structural and functional constraints. The main pattern of variation is due to structural constraints: evolutionary rates increase from the slowly evolving, solvent-inaccessible, tightly packed and rigid protein interior, to the rapidly evolving, solvent-exposed and loosely packed protein surface. Functional constraints result in the slow evolution of sites that are directly involved in protein function and their neighbours. There may also be longer range effects on distant sites. According to mechanistic biophysical models, site-specific evolutionary rates are related to mutational changes of thermodynamic stability. Structural predictors, such as solvent accessibility and local packing, would be proxies of mutational stability changes. Our understanding of rate variation among sites remains limited: at best, current models explain approximately 60% of the observed variance in site-specific rates, and in many cases these models explain considerably less. To make further progress, we need to develop better rate inference methods, complete the list of structural and functional molecular features that correlate with rates, and undertake further research on theoretical models derived from first principles.Keywords
This publication has 150 references indexed in Scilit:
- The interface of protein structure, protein biophysics, and molecular evolutionProtein Science, 2012
- Slow protein evolutionary rates are dictated by surface–core associationProceedings of the National Academy of Sciences, 2011
- A biophysical protein folding model accounts for most mutational fitness effects in virusesProceedings of the National Academy of Sciences, 2011
- Rosetta32011
- High-resolution mapping of protein sequence-function relationshipsNature Methods, 2010
- Protein elastic network models and the ranges of cooperativityProceedings of the National Academy of Sciences, 2009
- Rewiring the Specificity of Two-Component Signal Transduction SystemsCell, 2008
- Simultaneous amino acid substitutions at antigenic sites drive influenza A hemagglutinin evolutionProceedings of the National Academy of Sciences, 2007
- Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneousNature, 2004
- Pattern of nucleotide substitution at major histocompatibility complex class I loci reveals overdominant selectionNature, 1988