Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.
Evolutionary Rate in the Protein Interaction Network
Hunter B. Fraser,1*Aaron E. Hirsh,2*Lars M. Steinmetz,3Curt Scharfe,3Marcus W. Feldman2
High-throughput screens have begun to reveal the protein
interaction network that underpins most cellular functions in theyeast
Saccharomyces cerevisiae. How the organization of this
networkaffects the evolution of the proteins that compose it is a
fundamentalquestion in molecular evolution. We show that the
connectivityof well-conserved proteins in the network is negatively
correlatedwith their rate of evolution. Proteins with more interactors
evolvemore slowly not because they are more important to the organism,but because a greater proportion of the protein is directly involvedin
its function. At sites important for interaction between proteins,evolutionary changes may occur largely by coevolution, in whichsubstitutions in one protein result in selection pressure forreciprocal changes in interacting partners. We confirm one predictedoutcome of this process--namely, that interacting proteins evolveat
similar rates.
1 Department of Molecular and Cell Biology,
University of California, Berkeley, CA 94720, USA.
2 Center for Computational Genetics and Biological
Modeling, Department of Biological Sciences, Stanford University,
Stanford, CA 94305, USA.
3 Stanford Genome
Technology Center, Palo Alto, CA 94306, USA.
*
These authors contributed equally to this work.
To whom correspondence should be addressed. E-mail:
hunter{at}ocf.berkeley.edu
The editors suggest the following Related Resources on Science sites:
Biological function through network topology: a survey of the human diseasome.
V. Janjic and N. Przulj (2012)
Briefings in Functional Genomics
11, 522-532
|Abstract »|Full Text »|PDF »
Increased Genome Sampling Reveals a Dynamic Relationship between Gene Duplicability and the Structure of the Primate Protein-Protein Interaction Network.
A. Doherty, D. Alvarez-Ponce, and J. O. McInerney (2012)
Mol. Biol. Evol.
29, 3563-3573
|Abstract »|Full Text »|PDF »
Assessing Determinants of Exonic Evolutionary Rates in Mammals.
F.-C. Chen, B.-Y. Liao, C.-L. Pan, H.-Y. Lin, and A. Y.-F. Chang (2012)
Mol. Biol. Evol.
29, 3121-3129
|Abstract »|Full Text »|PDF »
The Role of Structural Disorder in the Rewiring of Protein Interactions through Evolution.
R. Mosca, R. A. Pache, and P. Aloy (2012)
Mol. Cell. Proteomics
11, M111.014969
|Abstract »|Full Text »|PDF »
Diversity in Genetic In Vivo Methods for Protein-Protein Interaction Studies: from the Yeast Two-Hybrid System to the Mammalian Split-Luciferase System.
B. Stynen, H. Tournu, J. Tavernier, and P. Van Dijck (2012)
Microbiol. Mol. Biol. Rev.
76, 331-382
|Abstract »|Full Text »|PDF »
Evolution of oligomeric state through geometric coupling of protein interfaces.
Chaperones Divide Yeast Proteins into Classes of Expression Level and Evolutionary Rate.
D. Bogumil, G. Landan, J. Ilhan, and T. Dagan (2012)
Genome Biol Evol
4, 618-625
|Abstract »|Full Text »|PDF »
Level of Gene Expression Is a Major Determinant of Protein Evolution in the Viral Order Mononegavirales.
I. Pagan, E. C. Holmes, and E. Simon-Loriere (2012)
J. Virol.
86, 5253-5263
|Abstract »|Full Text »|PDF »
Network-Level and Population Genetics Analysis of the Insulin/TOR Signal Transduction Pathway Across Human Populations.
P. Luisi, D. Alvarez-Ponce, G. M. Dall'Olio, M. Sikora, J. Bertranpetit, and H. Laayouni (2012)
Mol. Biol. Evol.
29, 1379-1392
|Abstract »|Full Text »|PDF »
Protein misinteraction avoidance causes highly expressed proteins to evolve slowly.
J.-R. Yang, B.-Y. Liao, S.-M. Zhuang, and J. Zhang (2012)
PNAS
109, E831-E840
|Abstract »|Full Text »|PDF »
A systematic characterization of genes underlying both complex and Mendelian diseases.
W. Jin, P. Qin, H. Lou, L. Jin, and S. Xu (2012)
Hum. Mol. Genet.
21, 1611-1624
|Abstract »|Full Text »|PDF »
Molecular Population Genetics of the Insulin/TOR Signal Transduction Pathway: A Network-Level Analysis in Drosophila melanogaster.
D. Alvarez-Ponce, S. Guirao-Rico, D. J. Orengo, C. Segarra, J. Rozas, and M. Aguade (2012)
Mol. Biol. Evol.
29, 123-132
|Abstract »|Full Text »|PDF »
Methicillin-resistant Staphylococcus aureus (MRSA) Pyruvate Kinase as a Target for Bis-indole Alkaloids with Antibacterial Activities.
R. Zoraghi, L. Worrall, R. H. See, W. Strangman, W. L. Popplewell, H. Gong, T. Samaai, R. D. Swayze, S. Kaur, M. Vuckovic, et al. (2011)
J. Biol. Chem.
286, 44716-44725
|Abstract »|Full Text »|PDF »
Nonrandom Gene Loss from the Drosophila miranda Neo-Y Chromosome.
V. B. Kaiser, Q. Zhou, and D. Bachtrog (2011)
Genome Biol Evol
3, 1329-1337
|Abstract »|Full Text »|PDF »
Copy-Number Variation: The Balance between Gene Dosage and Expression in Drosophila melanogaster.
J. Zhou, B. Lemos, E. B. Dopman, and D. L. Hartl (2011)
Genome Biol Evol
3, 1014-1024
|Abstract »|Full Text »|PDF »
Testing hypotheses on the rate of molecular evolution in relation to gene expression using microRNAs.
Y. Shen, Y. Lv, L. Huang, W. Liu, M. Wen, T. Tang, R. Zhang, E. Hungate, S. Shi, and C.-I. Wu (2011)
PNAS
108, 15942-15947
|Abstract »|Full Text »|PDF »
Comparative Genomics of the Vertebrate Insulin/TOR Signal Transduction Pathway: A Network-Level Analysis of Selective Pressures.
D. Alvarez-Ponce, M. Aguade, and J. Rozas (2011)
Genome Biol Evol
3, 87-101
|Abstract »|Full Text »|PDF »
Expression Level Drives the Pattern of Selective Constraints along the Insulin/Tor Signal Transduction Pathway in Caenorhabditis.
Identification of Pyruvate Kinase in Methicillin-Resistant Staphylococcus aureus as a Novel Antimicrobial Drug Target.
R. Zoraghi, R. H. See, P. Axerio-Cilies, N. S. Kumar, H. Gong, A. Moreau, M. Hsing, S. Kaur, R. D. Swayze, L. Worrall, et al. (2011)
Antimicrob. Agents Chemother.
55, 2042-2053
|Abstract »|Full Text »|PDF »
Molecular Evolution and Network-Level Analysis of the N-Glycosylation Metabolic Pathway Across Primates.
L. Montanucci, H. Laayouni, G. M. Dall'Olio, and J. Bertranpetit (2011)
Mol. Biol. Evol.
28, 813-823
|Abstract »|Full Text »|PDF »
Molecular Evolution of the Endosperm Starch Synthesis Pathway Genes in Rice (Oryza sativa L.) and Its Wild Ancestor, O. rufipogon L..
Incompatibility with Formin Cdc12p Prevents Human Profilin from Substituting for Fission Yeast Profilin: INSIGHTS FROM CRYSTAL STRUCTURES OF FISSION YEAST PROFILIN.
O. C. Ezezika, N. S. Younger, J. Lu, D. A. Kaiser, Z. A. Corbin, B. J. Nolen, D. R. Kovar, and T. D. Pollard (2009)
J. Biol. Chem.
284, 2088-2097
|Abstract »|Full Text »|PDF »
Evolutionary Constraint and Adaptation in the Metabolic Network of Drosophila.
A. J. Greenberg, S. R. Stockwell, and A. G. Clark (2008)
Mol. Biol. Evol.
25, 2537-2546
|Abstract »|Full Text »|PDF »
Role of selection in the emergence of lineages and the evolution of virulence in Neisseria meningitidis.
C. O. Buckee, K. A. Jolley, M. Recker, B. Penman, P. Kriz, S. Gupta, and M. C. J. Maiden (2008)
PNAS
105, 15082-15087
|Abstract »|Full Text »|PDF »
Intrinsic Structural Disorder in Adenovirus E1A: a Viral Molecular Hub Linking Multiple Diverse Processes.
P. Pelka, J. N. G. Ablack, G. J. Fonseca, A. F. Yousef, and J. S. Mymryk (2008)
J. Virol.
82, 7252-7263
|Full Text »|PDF »
Comprehensive Analysis of the Effects of Escherichia coli ORFs on Protein Translation Reaction.
Y. Kazuta, J. Adachi, T. Matsuura, N. Ono, H. Mori, and T. Yomo (2008)
Mol. Cell. Proteomics
7, 1530-1540
|Abstract »|Full Text »|PDF »
Overdispersion of the Molecular Clock: Temporal Variation of Gene-Specific Substitution Rates in Drosophila.
Genetic networks for the functional study of genomes.
A. G. Pisabarro, G. Perez, J. L. Lavin, and L. Ramirez (2008)
Briefings in Functional Genomics
7, 249-263
|Abstract »|Full Text »|PDF »
Genotype, Age, Tissue, and Environment Regulate the Structural Outcome of Glucosinolate Activation.
A. M. Wentzell and D. J. Kliebenstein (2008)
Plant Physiology
147, 415-428
|Abstract »|Full Text »|PDF »
SNPs in ultraconserved elements and familial breast cancer risk.
R. Yang, B. Frank, K. Hemminki, C. R. Bartram, B. Wappenschmidt, C. Sutter, M. Kiechle, P. Bugert, R. K. Schmutzler, N. Arnold, et al. (2008)
Carcinogenesis
29, 351-355
|Abstract »|Full Text »|PDF »
Quantitative systems-level determinants of human genes targeted by successful drugs.
Detecting the Coevolution of Biosequences An Example of RNA Interaction Prediction.
C.-H. Yeang, J. F. J. Darot, H. F. Noller, and D. Haussler (2007)
Mol. Biol. Evol.
24, 2119-2131
|Abstract »|Full Text »|PDF »
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.
N. Georgelis, E. L. Braun, J. R. Shaw, and L. C. Hannah (2007)
PLANT CELL
19, 1458-1472
|Abstract »|Full Text »|PDF »
Assessing the Determinants of Evolutionary Rates in the Presence of Noise.
Proportion of Solvent-Exposed Amino Acids in a Protein and Rate of Protein Evolution.
Y.-S. Lin, W.-L. Hsu, J.-K. Hwang, and W.-H. Li (2007)
Mol. Biol. Evol.
24, 1005-1011
|Abstract »|Full Text »|PDF »
Global eQTL Mapping Reveals the Complex Genetic Architecture of Transcript-Level Variation in Arabidopsis.
M. A. L. West, K. Kim, D. J. Kliebenstein, H. van Leeuwen, R. W. Michelmore, R. W. Doerge, and D. A. St. Clair (2007)
Genetics
175, 1441-1450
|Abstract »|Full Text »|PDF »
Rapid Evolution Exposes the Boundaries of Domain Structure and Function in Natively Unfolded FG Nucleoporins.