Evolution of intrinsic disorder in the structural domains of viral and cellular proteomes

被引:0
|
作者
Mughal, Fizza [1 ]
Caetano-Anolles, Gustavo [1 ,2 ]
机构
[1] Univ Illinois, Dept Crop Sci, Evolutionary Bioinformat Lab, Urbana, IL 61801 USA
[2] Univ Illinois, CR Woese Inst Genom Biol, Urbana, IL 61801 USA
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
基金
美国国家科学基金会; 美国农业部;
关键词
AEROBIC METABOLISM; PROTEINS; VIRUSES; ORIGIN; CLASSIFICATION; HISTORY; RISE;
D O I
10.1038/s41598-025-86045-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Intrinsically disordered regions are flexible regions that complement the typical structured regions of proteins. Little is known however about their evolution. Here we leverage a comparative and evolutionary genomics approach to analyze intrinsic disorder in the structural domains of thousands of proteomes. Our analysis revealed that viral and cellular proteomes employ similar strategies to increase disorder but achieve different goals. Viral proteomes evolve disorder for economy of genomic material and multifunctionality. On the other hand, cellular proteomes evolve disorder to advance functionality with increasing genomic complexity. Remarkably, phylogenomic analysis of intrinsic disorder showed that ancient domains were ordered and that disorder evolved as a benefit acquired later in evolution. Evolutionary chronologies of domains indexed with disorder levels and distributions across Archaea, Bacteria, Eukarya and viruses revealed six evolutionary phases, the oldest two harboring only ordered and moderate disorder domains. A biphasic spectrum of disorder versus proteome makeup captured the dichotomy in the evolutionary trajectories of viral and cellular ancestors, one following reductive evolution driven by viral spread of molecular wealth and the other following expansive evolutionary trends to advance functionality through massive domain-forming co-option of disordered loop regions.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Comprehensive Intrinsic Disorder Analysis of 6108 Viral Proteomes: From the Extent of Intrinsic Disorder Penetrance to Functional Annotation of Disordered Viral Proteins
    Kumar, Naveen
    Kaushik, Rahul
    Tennakoon, Chandana
    Uversky, Vladimir N.
    Longhi, Sonia
    Zhang, Kam Y. J.
    Bhatia, Sandeep
    JOURNAL OF PROTEOME RESEARCH, 2021, 20 (05) : 2704 - 2713
  • [2] Intrinsic Disorder and the Evolution of Viral Overlapping Genes
    Romero, Pedro R.
    Rancurel, Corinne
    Khosravi, Mahvash
    Dunker, A. Keith
    Karlin, David
    BIOPHYSICAL JOURNAL, 2009, 96 (03) : 221A - 221A
  • [3] Orderly order in protein intrinsic disorder distribution: disorder in 3500 proteomes from viruses and the three domains of life
    Xue, Bin
    Dunker, A. Keith
    Uversky, Vladimir N.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2012, 30 (02): : 137 - 149
  • [4] Tracing the birth and intrinsic disorder of loops and domains in protein evolution
    Caetano-Anolles, Gustavo
    Mughal, Fizza
    Aziz, M. Fayez
    Caetano-Anolles, Kelsey
    BIOPHYSICAL REVIEWS, 2024, 16 (06) : 723 - 735
  • [5] Tracing the birth and intrinsic disorder of loops and domains in protein evolution
    Caetano-Anolles, Gustavo
    Mughal, Fizza
    Aziz, M. Fayez
    Caetano-Anolles, Kelsey
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2024, 42 : 6 - 7
  • [6] Intrinsic structural disorder on proteins is involved in the interactome evolution
    Bustos, Diego M.
    BIOSYSTEMS, 2024, 246
  • [7] Genetic recombination is associated with intrinsic disorder in plant proteomes
    Yruela, Inmaculada
    Contreras-Moreira, Bruno
    BMC GENOMICS, 2013, 14
  • [8] Genetic recombination is associated with intrinsic disorder in plant proteomes
    Inmaculada Yruela
    Bruno Contreras-Moreira
    BMC Genomics, 14
  • [9] A collection of intrinsic disorder characterizations from eukaryotic proteomes
    Vincent, Michael
    Schnell, Santiago
    SCIENTIFIC DATA, 2016, 3
  • [10] A collection of intrinsic disorder characterizations from eukaryotic proteomes
    Michael Vincent
    Santiago Schnell
    Scientific Data, 3