Protein family expansions and biological complexity

被引:165
|
作者
Vogel, Christine [1 ]
Chothia, Cyrus
机构
[1] MRC, Mol Biol Lab, Cambridge, England
[2] Univ Texas, Inst Cellular & Mol Biol, Austin, TX 78712 USA
基金
英国医学研究理事会;
关键词
D O I
10.1371/journal.pcbi.0020048
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
During the course of evolution, new proteins are produced very largely as the result of gene duplication, divergence and, in many cases, combination. This means that proteins or protein domains belong to families or, in cases where their relationships can only be recognised on the basis of structure, superfamilies whose members descended from a common ancestor. The size of superfamilies can vary greatly. Also, during the course of evolution organisms of increasing complexity have arisen. In this paper we determine the identity of those superfamilies whose relative sizes in different organisms are highly correlated to the complexity of the organisms. As a measure of the complexity of 38 uni- and multicellular eukaryotes we took the number of different cell types of which they are composed. Of 1,219 superfamilies, there are 194 whose sizes in the 38 organisms are strongly correlated with the number of cell types in the organisms. We give outline descriptions of these superfamilies. Half are involved in extracellular processes or regulation and smaller proportions in other types of activity. Half of all superfamilies have no significant correlation with complexity. We also determined whether the expansions of large superfamilies correlate with each other. We found three large clusters of correlated expansions: one involves expansions in both vertebrates and plants, one just in vertebrates, and one just in plants. Our work identifies important protein families and provides one explanation of the discrepancy between the total number of genes and the apparent physiological complexity of eukaryotic organisms.
引用
收藏
页码:370 / 382
页数:13
相关论文
共 50 条
  • [1] Protein interaction domains and biological complexity
    Pawson, T
    FASEB JOURNAL, 2006, 20 (04): : A455 - A455
  • [2] On the complexity of rational Puiseux expansions
    Walsh, PG
    PACIFIC JOURNAL OF MATHEMATICS, 1999, 188 (02) : 369 - 387
  • [3] Path lengths in protein-protein interaction networks and biological complexity
    Xu, Ke
    Bezakova, Ivona
    Bunimovich, Leonid
    Yi, Soojin V.
    PROTEOMICS, 2011, 11 (10) : 1857 - 1867
  • [4] Complexity expansions in comparisons of character sequences
    Gusev V.D.
    Miroshnichenko L.A.
    Pattern Recognition and Image Analysis, 2014, 24 (4) : 467 - 472
  • [5] Exploiting protein structure data to explore the evolution of protein function and biological complexity
    Marsden, RL
    Ranea, JAG
    Sillero, A
    Redfern, O
    Yeats, C
    Maibaum, M
    Lee, D
    Addou, S
    Reeves, GA
    Dallman, TJ
    Orengo, CA
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2006, 361 (1467) : 425 - 440
  • [6] Modeling language family expansions
    Wichmann, Soren
    DIACHRONICA, 2017, 34 (01) : 79 - 101
  • [7] BIOLOGICAL COMPLEXITY
    HINEGARDNER, R
    ENGELBERG, J
    JOURNAL OF THEORETICAL BIOLOGY, 1983, 104 (01) : 7 - 20
  • [8] Biological Complexity
    Cook, Harry
    Bestman, Hank D.
    PERSPECTIVES ON SCIENCE AND CHRISTIAN FAITH, 2011, 63 (03): : 147 - 157
  • [9] Permutationally Invariant Polynomial Expansions with Unrestricted Complexity
    Moberg, Daniel R.
    Jasper, Ahren W.
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2021, 17 (09) : 5440 - 5455
  • [10] CHEMICAL AND BIOLOGICAL CHARACTERIZATION OF THE INHIBIN FAMILY OF PROTEIN HORMONES
    VALE, W
    RIVIER, C
    HSUEH, A
    CAMPEN, C
    MEUNIER, H
    BICSAK, T
    VAUGHAN, J
    CORRIGAN, A
    BARDIN, W
    SAWCHENKO, P
    PETRAGLIA, F
    YU, J
    PLOTSKY, P
    SPIESS, J
    RIVIER, J
    RECENT PROGRESS IN HORMONE RESEARCH, 1988, 44 : 1 - 34