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      Pervasive cooperative mutational effects on multiple catalytic enzyme traits emerge via long-range conformational dynamics

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          Abstract

          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.

          Abstract

          Connecting conformational dynamics and epistasis has so far been limited to a few proteins and a single fitness trait. Here, the authors provide evidence of positive epistasis on multiple catalytic traits in the evolution and dynamics of engineered cytochrome P450 monooxygenase, offering insights for in silico protein design.

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          Most cited references67

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          Protein dynamism and evolvability.

          The traditional view that proteins possess absolute functional specificity and a single, fixed structure conflicts with their marked ability to adapt and evolve new functions and structures. We consider an alternative, "avant-garde view" in which proteins are conformationally dynamic and exhibit functional promiscuity. We surmise that these properties are the foundation stones of protein evolvability; they facilitate the divergence of new functions within existing folds and the evolution of entirely new folds. Packing modes of proteins also affect their evolvability, and poorly packed, disordered, and conformationally diverse proteins may exhibit high evolvability. This dynamic view of protein structure, function, and evolvability is extrapolated to describe hypothetical scenarios for the evolution of the early proteins and future research directions in the area of protein dynamism and evolution.
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            Epistasis in protein evolution

            The structure, function, and evolution of proteins depend on physical and genetic interactions among amino acids. Recent studies have used new strategies to explore the prevalence, biochemical mechanisms, and evolutionary implications of these interactions-called epistasis-within proteins. Here we describe an emerging picture of pervasive epistasis in which the physical and biological effects of mutations change over the course of evolution in a lineage-specific fashion. Epistasis can restrict the trajectories available to an evolving protein or open new paths to sequences and functions that would otherwise have been inaccessible. We describe two broad classes of epistatic interactions, which arise from different physical mechanisms and have different effects on evolutionary processes. Specific epistasis-in which one mutation influences the phenotypic effect of few other mutations-is caused by direct and indirect physical interactions between mutations, which nonadditively change the protein's physical properties, such as conformation, stability, or affinity for ligands. In contrast, nonspecific epistasis describes mutations that modify the effect of many others; these typically behave additively with respect to the physical properties of a protein but exhibit epistasis because of a nonlinear relationship between the physical properties and their biological effects, such as function or fitness. Both types of interaction are rampant, but specific epistasis has stronger effects on the rate and outcomes of evolution, because it imposes stricter constraints and modulates evolutionary potential more dramatically; it therefore makes evolution more contingent on low-probability historical events and leaves stronger marks on the sequences, structures, and functions of protein families.
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              A perspective on enzyme catalysis.

              The seminal hypotheses proposed over the years for enzymatic catalysis are scrutinized. The historical record is explored from both biochemical and theoretical perspectives. Particular attention is given to the impact of molecular motions within the protein on the enzyme's catalytic properties. A case study for the enzyme dihydrofolate reductase provides evidence for coupled networks of predominantly conserved residues that influence the protein structure and motion. Such coupled networks have important implications for the origin and evolution of enzymes, as well as for protein engineering.

                Author and article information

                Contributors
                silvia.osuna@udg.edu
                reetz@mpi-muelheim.mpg.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                12 March 2021
                12 March 2021
                2021
                : 12
                : 1621
                Affiliations
                [1 ]Biosyntia ApS, Copenhagen, Denmark
                [2 ]GRID grid.34418.3a, ISNI 0000 0001 0727 9022, State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, , Hubei University, ; Wuhan, P. R. China
                [3 ]GRID grid.5319.e, ISNI 0000 0001 2179 7512, Institut de Química Computacional i Catàlisi and Departament de Química, , Universitat de Girona, ; Girona, Spain
                [4 ]GRID grid.10253.35, ISNI 0000 0004 1936 9756, Department of Chemistry, , Philipps-University Marburg, ; Marburg, Germany
                [5 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Monash Institute of Pharmaceutical Sciences, Monash University, ; Parkville, VIC Australia
                [6 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Wellcome Centre for Human Genetics, , University of Oxford, ; Oxford, UK
                [7 ]GRID grid.425902.8, ISNI 0000 0000 9601 989X, ICREA, ; Barcelona, Spain
                [8 ]GRID grid.419607.d, ISNI 0000 0001 2096 9941, Department of Biocatalysis, , Max-Planck-Institut für Kohlenforschung, ; Mülheim an der Ruhr, Germany
                [9 ]GRID grid.9227.e, ISNI 0000000119573309, Tianjin Institute of Industrial Biotechnology, , Chinese Academy of Sciences, ; Tianjin, P. R. China
                [10 ]GRID grid.10392.39, ISNI 0000 0001 2190 1447, Present Address: Bacterial Metabolomics Group, , Eberhard Karls Universität Tübingen, ; Tübingen, Germany
                Author information
                http://orcid.org/0000-0001-6036-4058
                http://orcid.org/0000-0003-2245-1956
                http://orcid.org/0000-0002-4715-7123
                http://orcid.org/0000-0002-7811-8442
                http://orcid.org/0000-0001-9458-1114
                http://orcid.org/0000-0003-3657-6469
                Article
                21833
                10.1038/s41467-021-21833-w
                7955134
                33712579
                b0cacf90-c231-487a-83e7-72bfd811be56
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 June 2020
                : 29 January 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100002809, Generalitat de Catalunya (Government of Catalonia);
                Award ID: SGR-1707
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004189, Max-Planck-Gesellschaft (Max Planck Society);
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                molecular evolution,biocatalysis,enzymes,molecular dynamics,quantum chemistry
                Uncategorized
                molecular evolution, biocatalysis, enzymes, molecular dynamics, quantum chemistry

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