MBE Advance Access published online on June 16, 2006
Molecular Biology and Evolution, doi:10.1093/molbev/msl040
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 Division of Chemistry and Chemical Engineering, Mail Code 210-41, California Institute of Technology, Pasadena, California 91125, USA
* To whom correspondence should be addressed. We investigate how a protein's structure inuences the rate at which its sequence evolves. Our basic hypothesis is that proteins with highly designable structures (structures that are encoded by many sequences) will evolve more rapidly. Recent theoretical advances argue that structures with a higher density of inter-residue contacts are more designable, and we show that high contact density is correlated with an increased rate of sequence evolution in yeast. In addition, we investigate the correlations between the rate of sequence evolution and several other structural descriptors, carefully controlling for the strong effect of expression level on evolutionary rate. Overall, we find that the structural descriptors that we consider appear to explain roughly 10% of the variation in rates of protein evolution in yeast. We also show that despite the well-known trend for buried residues to be more conserved, proteins with a higher fraction of buried residues nonetheless tend to evolve their sequences more rapidly. We suggest that this effect is due to the increased designability of structures with more buried residues. Our results provide evidence that protein structure plays an important role in shaping the rate of sequence evolution, and provides evidence to support recent theoretical advances linking structural designability to contact density.
Accepted June 13, 2006
Research Article
Structural Determinants of the Rate of Protein Evolution in Yeast
Jesse D. Bloom 1,
D. Allan Drummond 2,
Frances H. Arnold 1,
and
Claus O. Wilke 3 *
2 Program in Computation and Neural Systems, Mail Code 210-41, California Institute of Technology, Pasadena, California 91125, USA
3 Section of Integrative Biology and Center for Computational Biology and Bioinformatics, University of Texas at Austin, Austin, TX 78731
Claus O. Wilke, E-mail: cwilke{at}mail.utexas.edu
![]()
Abstract ![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
R. Carter and G. Drouin The Evolutionary Rates of Eukaryotic RNA Polymerases and of Their Transcription Factors Are Affected by the Level of Concerted Evolution of the Genes They Transcribe Mol. Biol. Evol., November 1, 2009; 26(11): 2515 - 2520. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. A. Franzosa and Y. Xia Structural Determinants of Protein Evolution Are Context-Sensitive at the Residue Level Mol. Biol. Evol., October 1, 2009; 26(10): 2387 - 2395. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Zhou, M. Weems, and C. O. Wilke Translationally Optimal Codons Associate with Structurally Sensitive Sites in Proteins Mol. Biol. Evol., July 1, 2009; 26(7): 1571 - 1580. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. G. Williams and S. C. Lovell The Effect of Sequence Evolution on Protein Structural Divergence Mol. Biol. Evol., May 1, 2009; 26(5): 1055 - 1065. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. C. Conant and P. F. Stadler Solvent Exposure Imparts Similar Selective Pressures across a Range of Yeast Proteins Mol. Biol. Evol., May 1, 2009; 26(5): 1155 - 1161. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Ferrada and A. Wagner Protein robustness promotes evolutionary innovations on large evolutionary time-scales Proc R Soc B, July 22, 2008; 275(1643): 1595 - 1602. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. C. Choi, A. Hobolth, D. M. Robinson, H. Kishino, and J. L. Thorne Quantifying the Impact of Protein Tertiary Structure on Molecular Evolution Mol. Biol. Evol., August 1, 2007; 24(8): 1769 - 1782. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Meyerguz, J. Kleinberg, and R. Elber From the Cover: The network of sequence flow between protein structures PNAS, July 10, 2007; 104(28): 11627 - 11632. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Georgelis, E. L. Braun, J. R. Shaw, and L. C. Hannah The Two AGPase Subunits Evolve at Different Rates in Angiosperms, yet They Are Equally Sensitive to Activity-Altering Amino Acid Changes When Expressed in Bacteria PLANT CELL, May 1, 2007; 19(5): 1458 - 1472. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y.-S. Lin, W.-L. Hsu, J.-K. Hwang, and W.-H. Li Proportion of Solvent-Exposed Amino Acids in a Protein and Rate of Protein Evolution Mol. Biol. Evol., April 1, 2007; 24(4): 1005 - 1011. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Parera, G. Fernandez, B. Clotet, and M. A. Martinez HIV-1 Protease Catalytic Efficiency Effects Caused by Random Single Amino Acid Substitutions Mol. Biol. Evol., February 1, 2007; 24(2): 382 - 387. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. D. Bloom, A. Raval, and C. O. Wilke Thermodynamics of Neutral Protein Evolution Genetics, January 1, 2007; 175(1): 255 - 266. [Abstract] [Full Text] [PDF] |
||||




