A simple dependence between protein evolution rate and the number of protein-protein interactions

被引:125
作者
Fraser, HB
Wall, DP
Hirsh, AE
机构
[1] Univ Calif Berkeley, Dept Mol & Cell Biol, Berkeley, CA 94720 USA
[2] Stanford Univ, Ctr Computat Genet & Biol Modeling, Dept Biol Sci, Stanford, CA 94305 USA
关键词
D O I
10.1186/1471-2148-3-11
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: It has been shown for an evolutionarily distant genomic comparison that the number of protein-protein interactions a protein has correlates negatively with their rates of evolution. However, the generality of this observation has recently been challenged. Here we examine the problem using protein-protein interaction data from the yeast Saccharomyces cerevisiae and genome sequences from two other yeast species. Results: In contrast to a previous study that used an incomplete set of protein-protein interactions, we observed a highly significant correlation between number of interactions and evolutionary distance to either Candida albicans or Schizosaccharomyces pombe. This study differs from the previous one in that it includes all known protein interactions from S. cerevisiae, and a larger set of protein evolutionary rates. In both evolutionary comparisons, a simple monotonic relationship was found across the entire range of the number of protein-protein interactions. In agreement with our earlier findings, this relationship cannot be explained by the fact that proteins with many interactions tend to be important to yeast. The generality of these correlations in other kingdoms of life unfortunately cannot be addressed at this time, due to the incompleteness of protein-protein interaction data from organisms other than S. cerevisiae. Conclusions: Protein-protein interactions tend to slow the rate at which proteins evolve. This may be due to structural constraints that must be met to maintain interactions, but more work is needed to definitively establish the mechanism(s) behind the correlations we have observed.
引用
收藏
页数:6
相关论文
共 14 条
  • [1] Evolutionary rate in the protein interaction network
    Fraser, HB
    Hirsh, AE
    Steinmetz, LM
    Scharfe, C
    Feldman, MW
    [J]. SCIENCE, 2002, 296 (5568) : 750 - 752
  • [2] Functional organization of the yeast proteome by systematic analysis of protein complexes
    Gavin, AC
    Bösche, M
    Krause, R
    Grandi, P
    Marzioch, M
    Bauer, A
    Schultz, J
    Rick, JM
    Michon, AM
    Cruciat, CM
    Remor, M
    Höfert, C
    Schelder, M
    Brajenovic, M
    Ruffner, H
    Merino, A
    Klein, K
    Hudak, M
    Dickson, D
    Rudi, T
    Gnau, V
    Bauch, A
    Bastuck, S
    Huhse, B
    Leutwein, C
    Heurtier, MA
    Copley, RR
    Edelmann, A
    Querfurth, E
    Rybin, V
    Drewes, G
    Raida, M
    Bouwmeester, T
    Bork, P
    Seraphin, B
    Kuster, B
    Neubauer, G
    Superti-Furga, G
    [J]. NATURE, 2002, 415 (6868) : 141 - 147
  • [3] Gibbons J. D., 1993, Nonparametric measures of association. Sage University Paper Series on Quantitative Applications in Social Sciences. Series No.07-091
  • [4] Protein dispensability and rate of evolution
    Hirsh, AE
    Fraser, HB
    [J]. NATURE, 2001, 411 (6841) : 1046 - 1049
  • [5] Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry
    Ho, Y
    Gruhler, A
    Heilbut, A
    Bader, GD
    Moore, L
    Adams, SL
    Millar, A
    Taylor, P
    Bennett, K
    Boutilier, K
    Yang, LY
    Wolting, C
    Donaldson, I
    Schandorff, S
    Shewnarane, J
    Vo, M
    Taggart, J
    Goudreault, M
    Muskat, B
    Alfarano, C
    Dewar, D
    Lin, Z
    Michalickova, K
    Willems, AR
    Sassi, H
    Nielsen, PA
    Rasmussen, KJ
    Andersen, JR
    Johansen, LE
    Hansen, LH
    Jespersen, H
    Podtelejnikov, A
    Nielsen, E
    Crawford, J
    Poulsen, V
    Sorensen, BD
    Matthiesen, J
    Hendrickson, RC
    Gleeson, F
    Pawson, T
    Moran, MF
    Durocher, D
    Mann, M
    Hogue, CWV
    Figeys, D
    Tyers, M
    [J]. NATURE, 2002, 415 (6868) : 180 - 183
  • [6] A comprehensive two-hybrid analysis to explore the yeast protein interactome
    Ito, T
    Chiba, T
    Ozawa, R
    Yoshida, M
    Hattori, M
    Sakaki, Y
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (08) : 4569 - 4574
  • [7] Lethality and centrality in protein networks
    Jeong, H
    Mason, SP
    Barabási, AL
    Oltvai, ZN
    [J]. NATURE, 2001, 411 (6833) : 41 - 42
  • [8] No simple dependence between protein evolution rate and the number of protein-protein interactions: only the most prolific interactors tend to evolve slowly
    Jordan, IK
    Wolf, YI
    Koonin, EV
    [J]. BMC EVOLUTIONARY BIOLOGY, 2003, 3 (1)
  • [9] The closest BLAST hit is often not the nearest neighbor
    Koski, LB
    Golding, GB
    [J]. JOURNAL OF MOLECULAR EVOLUTION, 2001, 52 (06) : 540 - 542
  • [10] MIPS:: a database for genomes and protein sequences
    Mewes, HW
    Frishman, D
    Güldener, U
    Mannhaupt, G
    Mayer, K
    Mokrejs, M
    Morgenstern, B
    Münsterkötter, M
    Rudd, S
    Weil, B
    [J]. NUCLEIC ACIDS RESEARCH, 2002, 30 (01) : 31 - 34