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Mutational biases favor complexity increases in protein interaction networks after gene duplication

Angel F. Cisneros, Lou Nielly‐Thibault, Saurav Mallik, Emmanuel D. Levy, Christian R. Landry

2024Molecular Systems Biology13 citationsDOIOpen Access PDF

Abstract

Biological systems can gain complexity over time. While some of these transitions are likely driven by natural selection, the extent to which they occur without providing an adaptive benefit is unknown. At the molecular level, one example is heteromeric complexes replacing homomeric ones following gene duplication. Here, we build a biophysical model and simulate the evolution of homodimers and heterodimers following gene duplication using distributions of mutational effects inferred from available protein structures. We keep the specific activity of each dimer identical, so their concentrations drift neutrally without new functions. We show that for more than 60% of tested dimer structures, the relative concentration of the heteromer increases over time due to mutational biases that favor the heterodimer. However, allowing mutational effects on synthesis rates and differences in the specific activity of homo- and heterodimers can limit or reverse the observed bias toward heterodimers. Our results show that the accumulation of more complex protein quaternary structures is likely under neutral evolution, and that natural selection would be needed to reverse this tendency.

Topics & Concepts

Gene duplicationHomomericBiologyGeneNegative selectionComputational biologyGeneticsProtein quaternary structureNatural selectionSelection (genetic algorithm)BiophysicsGenomeComputer scienceProtein subunitArtificial intelligenceEvolution and Genetic DynamicsBioinformatics and Genomic NetworksMicrobial Metabolic Engineering and Bioproduction
Mutational biases favor complexity increases in protein interaction networks after gene duplication | Litcius