Literature DB >> 31278674

Evolution of Protein Domain Architectures.

Sofia K Forslund1,2, Mateusz Kaduk3, Erik L L Sonnhammer4.   

Abstract

This chapter reviews current research on how protein domain architectures evolve. We begin by summarizing work on the phylogenetic distribution of proteins, as this will directly impact which domain architectures can be formed in different species. Studies relating domain family size to occurrence have shown that they generally follow power law distributions, both within genomes and larger evolutionary groups. These findings were subsequently extended to multi-domain architectures. Genome evolution models that have been suggested to explain the shape of these distributions are reviewed, as well as evidence for selective pressure to expand certain domain families more than others. Each domain has an intrinsic combinatorial propensity, and the effects of this have been studied using measures of domain versatility or promiscuity. Next, we study the principles of protein domain architecture evolution and how these have been inferred from distributions of extant domain arrangements. Following this, we review inferences of ancestral domain architecture and the conclusions concerning domain architecture evolution mechanisms that can be drawn from these. Finally, we examine whether all known cases of a given domain architecture can be assumed to have a single common origin (monophyly) or have evolved convergently (polyphyly). We end by a discussion of some available tools for computational analysis or exploitation of protein domain architectures and their evolution.

Keywords:  Convergent evolution; Domain co-occurrence network; Domain evolution; Kingdoms of life; Monophyly; Node degree distribution; Parsimony; Polyphyly; Power law; Protein domain; Protein domain architecture; Superfamily

Year:  2019        PMID: 31278674     DOI: 10.1007/978-1-4939-9074-0_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

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Authors:  M Fayez Aziz; Gustavo Caetano-Anollés
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

Review 2.  Linking molecular evolution to molecular grafting.

Authors:  Conan K Wang; David J Craik
Journal:  J Biol Chem       Date:  2021-02-16       Impact factor: 5.157

3.  TREND: a platform for exploring protein function in prokaryotes based on phylogenetic, domain architecture and gene neighborhood analyses.

Authors:  Vadim M Gumerov; Igor B Zhulin
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

4.  Identification of putative essential protein domains from high-density transposon insertion sequencing.

Authors:  A S M Zisanur Rahman; Lukas Timmerman; Flyn Gallardo; Silvia T Cardona
Journal:  Sci Rep       Date:  2022-01-19       Impact factor: 4.379

  4 in total

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