Design principles of gene evolution for niche adaptation through changes in protein–protein interaction networks

被引:0
|
作者
Gon Carmi
Somnath Tagore
Alessandro Gorohovski
Aviad Sivan
Dorith Raviv-Shay
Milana Frenkel-Morgenstern
机构
[1] Bar-Ilan University,The Azrieli Faculty of Medicine
[2] Herbert Irving Cancer Research Center,Department of Systems Biology, Columbia University Medical Center
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
In contrast to fossorial and above-ground organisms, subterranean species have adapted to the extreme stresses of living underground. We analyzed the predicted protein–protein interactions (PPIs) of all gene products, including those of stress-response genes, among nine subterranean, ten fossorial, and 13 aboveground species. We considered 10,314 unique orthologous protein families and constructed 5,879,879 PPIs in all organisms using ChiPPI. We found strong association between PPI network modulation and adaptation to specific habitats, noting that mutations in genes and changes in protein sequences were not linked directly with niche adaptation in the organisms sampled. Thus, orthologous hypoxia, heat-shock, and circadian clock proteins were found to cluster according to habitat, based on PPIs rather than on sequence similarities. Curiously, "ordered" domains were preserved in aboveground species, while "disordered" domains were conserved in subterranean organisms, and confirmed for proteins in DistProt database. Furthermore, proteins with disordered regions were found to adopt significantly less optimal codon usage in subterranean species than in fossorial and above-ground species. These findings reveal design principles of protein networks by means of alterations in protein domains, thus providing insight into deep mechanisms of evolutionary adaptation, generally, and particularly of species to underground living and other confined habitats.
引用
下载
收藏
相关论文
共 50 条
  • [21] Analysis of Protein-Protein Interaction Networks through Computational Approaches
    Han, Ying
    Cheng, Liang
    Sun, Weiju
    PROTEIN AND PEPTIDE LETTERS, 2020, 27 (04): : 265 - 278
  • [22] Kaposi's sarcoma: a computational approach through protein-protein interaction and gene regulatory networks analysis
    Zaman, Aubhishek
    Rahaman, Md. Habibur
    Razzaque, Samsad
    VIRUS GENES, 2013, 46 (02) : 242 - 254
  • [23] Structure and evolution of protein interaction networks: a statistical model for link dynamics and gene duplications
    Johannes Berg
    Michael Lässig
    Andreas Wagner
    BMC Evolutionary Biology, 4
  • [24] High specificity protein-protein interaction networks by computational design
    Netzer, Ravit
    Fleishman, Sarel J.
    PROTEIN SCIENCE, 2017, 26 : 62 - 62
  • [25] Co-evolution and co-adaptation in protein networks
    Juan, David
    Pazos, Florencio
    Valencia, Alfonso
    FEBS LETTERS, 2008, 582 (08) : 1225 - 1230
  • [26] Evolution and function of CAG/polyglutamine repeats in protein-protein interaction networks
    Schaefer, Martin H.
    Wanker, Erich E.
    Andrade-Navarro, Miguel A.
    NUCLEIC ACIDS RESEARCH, 2012, 40 (10) : 4273 - 4287
  • [27] Identification and Evolution of Structurally Dominant Nodes in Protein-Protein Interaction Networks
    Wang, Pei
    Yu, Xinghuo
    Lu, Jinhu
    IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2014, 8 (01) : 87 - 97
  • [28] MODEVO: exploring modularity and evolution of protein interaction networks
    Wozniak, Michal
    Tiuryn, Jerzy
    Dutkowski, Janusz
    BIOINFORMATICS, 2010, 26 (14) : 1790 - 1791
  • [29] PRINCIPLES OF PROTEIN-PROTEIN RECOGNITION AND INTERACTION
    GETZOFF, ED
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1986, 192 : 2 - PHYS
  • [30] Evolution of Specific Protein-Protein Interaction Sites Following Gene Duplication
    Aiello, Daniel
    Caffrey, Daniel R.
    JOURNAL OF MOLECULAR BIOLOGY, 2012, 423 (02) : 257 - 272