Javascript must be enabled to continue!
Higher-order epistasis creates idiosyncrasy, confounding predictions in protein evolution
View through CrossRef
Abstract
Epistasis shapes evolutionary outcomes during protein adaptation. In particular, when the effects of single mutations or mutational interactions are idiosyncratic, that is, unique to a genetic background, the predictability of protein evolution becomes greatly impaired. Here, we unveil a quantitative picture of the prevalence and role of idiosyncrasy in protein evolution by analysing 45 protein fitness landscapes, generated from seven enzymes. We found that mutational effects and epistasis are highly idiosyncratic across the landscapes. Idiosyncrasy obscured functional predictions of mutated proteins when using limited mutational data, and often continued to impair prediction upon incorporation of epistatic information. We show that idiosyncrasy stems from higher-order epistasis, and highlight examples where it permits, or restricts, evolutionary accessibility of certain genotypes. Our work suggests that idiosyncrasy deeply confounds predictions in protein evolution necessitating its incorporation into predictive models and in-depth exploration of its underlying molecular mechanisms.
Title: Higher-order epistasis creates idiosyncrasy, confounding predictions in protein evolution
Description:
Abstract
Epistasis shapes evolutionary outcomes during protein adaptation.
In particular, when the effects of single mutations or mutational interactions are idiosyncratic, that is, unique to a genetic background, the predictability of protein evolution becomes greatly impaired.
Here, we unveil a quantitative picture of the prevalence and role of idiosyncrasy in protein evolution by analysing 45 protein fitness landscapes, generated from seven enzymes.
We found that mutational effects and epistasis are highly idiosyncratic across the landscapes.
Idiosyncrasy obscured functional predictions of mutated proteins when using limited mutational data, and often continued to impair prediction upon incorporation of epistatic information.
We show that idiosyncrasy stems from higher-order epistasis, and highlight examples where it permits, or restricts, evolutionary accessibility of certain genotypes.
Our work suggests that idiosyncrasy deeply confounds predictions in protein evolution necessitating its incorporation into predictive models and in-depth exploration of its underlying molecular mechanisms.
Related Results
Free energy perturbations in enzyme kinetic models reveal cryptic epistasis
Free energy perturbations in enzyme kinetic models reveal cryptic epistasis
Abstract
Epistasis—the context-dependence of mutational effects—is a key driver of protein evolution, influencing adaptive pathways and functiona...
Quantifying higher-order epistasis: beware the chimera
Quantifying higher-order epistasis: beware the chimera
AbstractEpistasis, or interactions in which alleles at one locus modify the fitness effects of alleles at other loci, plays a fundamental role in genetics, protein evolution, and m...
Generative continuous time model reveals epistatic signatures in protein evolution
Generative continuous time model reveals epistatic signatures in protein evolution
Abstract
Protein evolution is fundamentally shaped by epistasis, where the effect of a mutation depends on the sequence context. As standard phylogenetic methods as...
Connectivity alterations in autism reflect functional idiosyncrasy
Connectivity alterations in autism reflect functional idiosyncrasy
AbstractAutism spectrum disorder (ASD) is commonly understood as an alteration of brain networks, yet case-control analyses against typically-developing controls (TD) have yielded ...
Epistasis, inbreeding depression and the evolution of self-fertilization
Epistasis, inbreeding depression and the evolution of self-fertilization
ABSTRACTInbreeding depression resulting from partially recessive deleterious alleles is thought to be the main genetic factor preventing self-fertilizing mutants from spreading in ...
Endothelial Protein C Receptor
Endothelial Protein C Receptor
IntroductionThe protein C anticoagulant pathway plays a critical role in the negative regulation of the blood clotting response. The pathway is triggered by thrombin, which allows ...
Efficient epistasis inference via higher-order covariance matrix factorization
Efficient epistasis inference via higher-order covariance matrix factorization
Epistasis can profoundly influence evolutionary dynamics. Temporal genetic data, consisting of sequences sampled repeatedly from a population over time, provides a unique resource ...
Efficient epistasis inference via higher-order covariance matrix factorization
Efficient epistasis inference via higher-order covariance matrix factorization
Abstract
Epistasis can profoundly influence evolutionary dynamics. Temporal genetic data, consisting of sequences sampled repeatedly from a population over time, pro...

