Epistasis Creates Invariant Sites and Modulates the Rate of Molecular Evolution

Author:

Patel Ravi12ORCID,Carnevale Vincenzo12ORCID,Kumar Sudhir123ORCID

Affiliation:

1. Institute for Genomics and Evolutionary Medicine, Temple University , Philadelphia, PA 19122, USA

2. Department of Biology, Temple University , Philadelphia, PA 19122, USA

3. Center for Excellence in Genome Medicine and Research, King Abdulaziz University , Jeddah, Saudi Arabia

Abstract

Abstract Invariant sites are a common feature of amino acid sequence evolution. The presence of invariant sites is frequently attributed to the need to preserve function through site-specific conservation of amino acid residues. Amino acid substitution models without a provision for invariant sites often fit the data significantly worse than those that allow for an excess of invariant sites beyond those predicted by models that only incorporate rate variation among sites (e.g., a Gamma distribution). An alternative is epistasis between sites to preserve residue interactions that can create invariant sites. Through computer-simulated sequence evolution, we evaluated the relative effects of site-specific preferences and site-site couplings in the generation of invariant sites and the modulation of the rate of molecular evolution. In an analysis of ten major families of protein domains with diverse sequence and functional properties, we find that the negative selection imposed by epistasis creates many more invariant sites than site-specific residue preferences alone. Further, epistasis plays an increasingly larger role in creating invariant sites over longer evolutionary periods. Epistasis also dictates rates of domain evolution over time by exerting significant additional purifying selection to preserve site couplings. These patterns illuminate the mechanistic role of epistasis in the processes underlying observed site invariance and evolutionary rates.

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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