title: How mutational epistasis impairs predictability in protein evolution and design.
abstract: There has been much debate about the extent to which mutational epistasis, that is, the dependence of the outcome of a mutation on the genetic background, constrains evolutionary trajectories. The degree of unpredictability introduced by epistasis, due to the non-additivity of functional effects, strongly hinders the strategies developed in protein design and engineering. While many studies have addressed this issue through systematic characterization of evolutionary trajectories within individual enzymes, the field lacks a consensus view on this matter. In this work, we performed a comprehensive analysis of epistasis by analyzing the mutational effects from nine adaptive trajectories toward new enzymatic functions. We quantified epistasis by comparing the effect of mutations occurring between two genetic backgrounds: the starting enzyme (for example, wild type) and the intermediate variant on which the mutation occurred during the trajectory. We found that most trajectories exhibit positive epistasis, in which the mutational effect is more beneficial when it occurs later in the evolutionary trajectory. Approximately half (49%) of functional mutations were neutral or negative on the wild-type background, but became beneficial at a later stage in the trajectory, indicating that these functional mutations were not predictable from the initial starting point. While some cases of strong epistasis were associated with direct interaction between residues, many others were caused by long-range indirect interactions between mutations. Our work highlights the prevalence of epistasis in enzyme adaptive evolution, in particular positive epistasis, and suggests the necessity of incorporating mutational epistasis in protein engineering and design to create highly efficient catalysts.
authors.affiliation: Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
authors.forename: Charlotte M
authors.initials: CM
authors.lastname: Miton
authors.affiliation: Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
authors.forename: Nobuhiko
authors.initials: N
authors.lastname: Tokuriki
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004843:Epistasis, Genetic; D019143:Evolution, Molecular; D005838:Genotype; D009154:Mutation; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry / Q000235:genetics*; D012641:Selection, Genetic
chemical_list: D011506:Proteins
keywords: adaptive mutations; directed evolution; enzyme evolution; epistasis; evolutionary constraints; protein engineering; rational design