Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules

被引:4
|
作者
Zhang, Xiuwei [2 ,3 ]
Kupiec, Martin [4 ]
Gophna, Uri [4 ]
Tuller, Tamir [1 ,5 ]
机构
[1] Weizmann Inst Sci, Fac Math & Comp Sci, IL-76100 Rehovot, Israel
[2] Ecole Polytech Fed Lausanne, Sch Comp & Commun Sci, Lab Computat Biol & Bioinformat, Lausanne, Switzerland
[3] Swiss Inst Bioinformat, Lausanne, Switzerland
[4] Tel Aviv Univ, Dept Mol Microbiol & Biotechnol, Tel Aviv, Israel
[5] Weizmann Inst Sci, Dept Mol Genet, IL-76100 Rehovot, Israel
来源
基金
以色列科学基金会;
关键词
HORIZONTAL TRANSFER; EVOLUTION; LIFE; TREE; ORGANIZATION; ROBUSTNESS; NETWORKS; PROTEINS; SEQUENCE; DATABASE;
D O I
10.1093/gbe/evr030
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Coevolutionary networks can encapsulate information about the dynamics of presence and absence of gene families in organisms. Analysis of such networks should reveal fundamental principles underlying the evolution of cellular systems and the functionality of sets of genes. In this study, we describe a new approach for analyzing coevolutionary networks. Our method detects Mutually Exclusive Orthologous Modules (MEOMs). A MEOM is composed of two sets of gene families, each including gene families that tend to appear in the same organisms, such that the two sets tend to mutually exclude each other (if one set appears in a certain organism the second set does not). Thus, a MEOM reflects the evolutionary replacement of one set of genes by another due to reasons such as lineage/environmental specificity, incompatibility, or functional redundancy. We use our method to analyze a coevolutionary network that is based on 383 microorganisms from the three domains of life. As we demonstrate, our method is useful for detecting meaningful evolutionary clades of organisms as well as sets of proteins that interact with each other. Among our results, we report that: 1) MEOMs tend to include gene families whose cellular functions involve transport, energy production, metabolism, and translation, suggesting that changes in the metabolic environments that require adaptation to new sources of energy are central triggers of complex/pathway replacement in evolution. 2) Many MEOMs are related to outer membrane proteins, such proteins are involved in interaction with the environment and could thus be replaced as a result of adaptation. 3) MEOMs tend to separate organisms with large phylogenetic distance but they also separate organisms that live in different ecological niches. 4) Strikingly, although many MEOMs can be identified, there are much fewer cases where the two cliques in the MEOM completely mutually exclude each other, demonstrating the flexibility of protein evolution. 5) CO dehydrogenase and thymidylate synthase and the glycine cleavage genes mutually exclude each other in archaea; this may represent an alternative route for generation of methyl donors for thymidine synthesis.
引用
收藏
页码:413 / 423
页数:11
相关论文
共 50 条
  • [1] On families of mutually exclusive sets
    Erdos, P
    Tarski, A
    ANNALS OF MATHEMATICS, 1943, 44 : 315 - 329
  • [2] Mining for Mutually Exclusive Gene Expressions
    Tzanis, George
    Vlahavas, Ioannis
    ARTIFICIAL INTELLIGENCE: THEORIES, MODELS AND APPLICATIONS, PROCEEDINGS, 2010, 6040 : 255 - 264
  • [3] Do two mutually exclusive gene modules define the phenotypic diversity of mammalian smooth muscle?
    Larsson, Erik
    McLean, Sean E.
    Mecham, Robert P.
    Lindahl, Per
    Nelander, Sven
    MOLECULAR GENETICS AND GENOMICS, 2008, 280 (02) : 127 - 137
  • [4] Do two mutually exclusive gene modules define the phenotypic diversity of mammalian smooth muscle?
    Erik Larsson
    Sean E. McLean
    Robert P. Mecham
    Per Lindahl
    Sven Nelander
    Molecular Genetics and Genomics, 2008, 280 : 127 - 137
  • [5] Survival Analysis of Automobile Components Using Mutually Exclusive Forests
    Eyal, Ayelet
    Rokach, Lior
    Kalech, Meir
    Amir, Ofra
    Chougule, Rahul
    Vaidyanathan, Rajkumar
    Pattada, Kallappa
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 44 (02): : 246 - 253
  • [6] Identifying Coevolving Partners from Paralogous Gene Families
    Yeang, Chen-Hsiang
    EVOLUTIONARY BIOINFORMATICS, 2008, 4 : 97 - 107
  • [7] Discovering functional modules by identifying recurrent and mutually exclusive mutational patterns in tumors
    Miller, Christopher A.
    Settle, Stephen H.
    Sulman, Erik P.
    Aldape, Kenneth D.
    Milosavljevic, Aleksandar
    BMC MEDICAL GENOMICS, 2011, 4
  • [8] Coordinating Mutually Exclusive Resources using GPGP
    Keith Decker
    Jinjiang Li
    Autonomous Agents and Multi-Agent Systems, 2000, 3 : 133 - 157
  • [9] Coordinating mutually exclusive resources using GPGP
    Decker, K
    Li, JJ
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2000, 3 (02) : 133 - 157
  • [10] A measurement of Rb using mutually exclusive tags
    Physics Letters. Section B: Nuclear, Elementary Particle and High-Energy Physics, 401 (1-2):