Abstract:Through iterative rounds of genetic diversification and screening or selection, directed evolution has been widely used to engineer relatively simple biosystems such as nucleic acids and proteins with desired functions. In addition, directed evolution has played an important role in engineering more complex biosystems such as pathways and genomes. Since 2013, directed evolution has been further explored for biosystems design with numerous newly developed techniques that have enabled design and engineering of p… Show more
“…irected evolution constitutes a powerful tool for optimizing protein properties, including activity, substrate scope, selectivity, stability, allostery or binding affinity. By applying iterative rounds of gene mutagenesis, expression and screening (or selection), proteins have been engineered for developing more efficient industrial biocatalytic processes [1][2][3][4] . Directed evolution has also provided important insights into the relationship between protein sequence and function [4][5][6] , yet understanding the intricacies of non-additive epistatic effects remains a challenge 7 .…”
Multidimensional fitness landscapes provide insights into the molecular basis of laboratory and natural evolution. To date, such efforts usually focus on limited protein families and a single enzyme trait, with little concern about the relationship between protein epistasis and conformational dynamics. Here, we report a multiparametric fitness landscape for a cytochrome P450 monooxygenase that was engineered for the regio- and stereoselective hydroxylation of a steroid. We develop a computational program to automatically quantify non-additive effects among all possible mutational pathways, finding pervasive cooperative signs and magnitude epistasis on multiple catalytic traits. By using quantum mechanics and molecular dynamics simulations, we show that these effects are modulated by long-range interactions in loops, helices and β-strands that gate the substrate access channel allowing for optimal catalysis. Our work highlights the importance of conformational dynamics on epistasis in an enzyme involved in secondary metabolism and offers insights for engineering P450s.
“…irected evolution constitutes a powerful tool for optimizing protein properties, including activity, substrate scope, selectivity, stability, allostery or binding affinity. By applying iterative rounds of gene mutagenesis, expression and screening (or selection), proteins have been engineered for developing more efficient industrial biocatalytic processes [1][2][3][4] . Directed evolution has also provided important insights into the relationship between protein sequence and function [4][5][6] , yet understanding the intricacies of non-additive epistatic effects remains a challenge 7 .…”
Multidimensional fitness landscapes provide insights into the molecular basis of laboratory and natural evolution. To date, such efforts usually focus on limited protein families and a single enzyme trait, with little concern about the relationship between protein epistasis and conformational dynamics. Here, we report a multiparametric fitness landscape for a cytochrome P450 monooxygenase that was engineered for the regio- and stereoselective hydroxylation of a steroid. We develop a computational program to automatically quantify non-additive effects among all possible mutational pathways, finding pervasive cooperative signs and magnitude epistasis on multiple catalytic traits. By using quantum mechanics and molecular dynamics simulations, we show that these effects are modulated by long-range interactions in loops, helices and β-strands that gate the substrate access channel allowing for optimal catalysis. Our work highlights the importance of conformational dynamics on epistasis in an enzyme involved in secondary metabolism and offers insights for engineering P450s.
“…Enzyme thermostabilization against thermal denaturation has been an urgent and long-standing goal in enzyme design and engineering. Directed evolution [5] is a well-known strategy in protein engineering for enzyme thermostabilization [6] that is generally applicable with the aid of high-throughput screening [7] . Although it is often effective, directed evolution is labor-intensive and time-consuming.…”
Section: Introductionmentioning
confidence: 99%
“…Although it is often effective, directed evolution is labor-intensive and time-consuming. For instance, multiple rounds of mutation and screening are required to obtain desired variants with obvious improvements in thermostability [7] . During the third wave of biocatalysis, the process of protein thermostabilization via computational design has been promoted based on a large amount of protein structure analysis data and increased bioinformatics tool development [4] , [8] .…”
“…Directed evolution constitutes a powerful tool for optimizing protein properties including activity, substrate scope, selectivity, stability, allostery or binding affinity. By applying iterative rounds of gene mutagenesis, expression and screening (or selection), proteins have been engineered for developing more efficient industrial biocatalytic processes [1][2][3][4] .…”
Section: Introductionmentioning
confidence: 99%
“…Epistasis means that the phenotypic consequences of a mutation depend on the genetic background [8][9][10][11] . Epistatic effects can be negative 3 (antagonistic/deleterious) or positive (synergistic/cooperative) if the respective predictive value is smaller or greater in sign/magnitude than the expected value under additivity.…”
Multidimensional fitness landscapes provide insights into the molecular basis of laboratory and natural evolution. Yet such efforts are rare and focus only on limited protein families and a single enzyme trait, with little concern about the relationship between protein epistasis and conformational dynamics. Here, we report the first multiparametric fitness landscape for a cytochrome P450 monooxygenase that was engineered for the regio-and stereoselective hydroxylation of a steroid. We developed a computational program to automatically quantify non-additive effects among all possible mutational pathways, finding pervasive cooperative sign and magnitude epistasis on multiple catalytic traits. By using quantum mechanics and molecular dynamics simulations, we show that these effects are modulated by long-range interactions in loops, helices and beta-strands that gate the substrate access channel allowing for optimal catalysis. Our work highlights the importance of conformational dynamics on epistasis in an enzyme involved in secondary metabolism and offers lessons for engineering P450s.
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