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Methods Mol Biol. 2019;1910:469-504. doi: 10.1007/978-1-4939-9074-0_15.

Evolution of Protein Domain Architectures.

Author information

1
EMBL Heidelberg, Heidelberg, Germany. forslund@embl.de.
2
Max Delbrück Centre for Molecular Medicine, Berlin, Germany. forslund@embl.de.
3
Department of Biochemistry and Biophysics, Stockholm Bioinformatics Centre, Stockholm University, Science for Life Laboratory, Solna, Sweden.
4
Department of Biochemistry and Biophysics, Stockholm Bioinformatics Centre, Stockholm University, Science for Life Laboratory, Solna, Sweden. Erik.Sonnhammer@scilifelab.se.

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

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