MBE Advance Access published online on May 23, 2007
Molecular Biology and Evolution, doi:10.1093/molbev/msm097
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Research Article |
Quantifying the Impact of Protein Tertiary Structure on Molecular Evolution
1 Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27606, USA
2 Current Address: Statistical Genetics and Biomarkers Group, Bristol-Myers Squibb Co., 311 Pennington-Rocky Hill Road, Pennington, NJ 08534, USA
3 Laboratory of Biometrics, Graduate School of Agriculture and Life Sciences, University of Tokyo, 1-1-1 Yayoi Bunkyo-ku Tokyo 113-8657, Japan
4 Wissenschaftskolleg zu Berlin, Wallotstrasse 19, 14193 Berlin, Germany
Corresponding Author: Jeffrey L. Thorne (thorne{at}statgen.ncsu.edu)
Received for publication January 18, 2007. Revision received March 30, 2007. Accepted for publication May 11, 2007.
To investigate the evolutionary impact of protein structure, the experimentally determined tertiary structure and the protein-coding DNA sequence were collected for each of 1195 genes. These genes were studied via a model of sequence change that explicitly incorporates effects on evolutionary rates due to protein tertiary structure. In the model, these effects act via the solvent accessibility environments and pairwise amino acid interactions that are induced by tertiary structure. To compare the hypotheses that structure does and does not have a strong influence on evolution, Bayes factors were estimated for each of the 1195 sequences. Most of the Bayes factors strongly support the hypothesis that protein structure impacts protein evolution. Furthermore, both solvent accessibility and pairwise interactions among amino acids are inferred to have important roles in protein evolution. Our results also indicate that the strength of the relationship between tertiary structure and evolution has a weak but real correlation to the annotation information in the Gene Ontology database. Although their influences on rates of evolution vary among protein families, we find that the mean impacts of solvent accessibility and pairwise interactions are about the same.
Key Words: molecular evolution protein structure impact Gene Ontology MCMC Bayes factor
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