Evolutionary interplay between structure, energy and epistasis in the coat protein of the $\phi \chi 174$ phage family
Rodrigo A.F. Redondo, Harold P. de Vladar, Tomasz W{\l}odarski, and Jonathan P. Bollback

TL;DR
This study investigates how structural constraints influence epistasis and evolution in viral capsids, revealing that high-order epistasis evolves to compensate pairwise interactions, with minimal impact on fitness.
Contribution
It provides a comprehensive in silico and experimental analysis of epistasis evolution in viral capsids, highlighting the role of high-order interactions in structural stability.
Findings
High-order epistasis increases over evolutionary time.
Free energy remains stable despite epistasis evolution.
Predicted free energy deviations do not significantly affect fitness.
Abstract
Viral capsids are structurally constrained by interactions amongst the amino acids of the constituting proteins. Therefore, epistasis is expected to evolve amongst sites engaged in physical interactions, and to influence their substitution rates. In order to study the distribution of structural epistasis, we modeled \emph{in silico} the capsid of 18 species of the \phix \, family, including the wild type. \phix \, is amongst the simplest organisms, making it suitable for experimental evolution and \emph{in silico} modeling. We found nearly 40 variable amino acid sites in the main capsid protein across the 18 species. To study how epistasis evolved in this group, we reconstructed the ancestral sequences using a Bayesian phylogenetic framework. The ancestral states include 8 variable amino acids, for a total of 256 possible haplotypes. The ratio is low, suggesting strong purifying…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBacteriophages and microbial interactions · Evolution and Genetic Dynamics · Plant Virus Research Studies
