Does the pressure dependence of kinetic isotope effects report usefully on dynamics in enzyme H-transfer reactions?

The origin, evolution and diversification of multiple isoforms of light-dependent protochlorophyllide oxidoreductase (LPOR): focus on angiosperms

Light-dependent protochlorophyllide oxidoreductase (LPOR) catalyzes the reduction of protochlorophyllide to chlorophyllide, which is a key reaction for angiosperm development. Dark operative light-independent protochlorophyllide oxidoreductase (DPOR) is the other enzyme able to catalyze this reaction, however, it is not present in angiosperms. LPOR, which evolved later than DPOR, requires light to trigger the reaction. The ancestors of angiosperms lost DPOR genes and duplicated the LPORs, however, the LPOR evolution in angiosperms has not been yet investigated. In the present study, we built a phylogenetic tree using 557 nucleotide sequences of LPORs from both bacteria and plants to uncover the evolution of LPOR. The tree revealed that all modern sequences of LPOR diverged from a single sequence ∼1.36 billion years ago. The LPOR gene was then duplicated at least 10 times in angiosperms, leading to the formation of two or even more LPOR isoforms in multiple species. In the case of Arabidopsis thaliana, AtPORA and AtPORB originated in one duplication event, in contrary to the isoform AtPORC, which diverged first. We performed biochemical characterization of these isoforms in vitro, revealing differences in the lipid-driven properties. The results prone us to hypothesize that duplication events of LPOR gave rise to the isoforms having different lipid-driven activity, which may predispose them for functioning in different locations in plastids. Moreover, we showed that LPOR from Synechocystis operated in the lipid-independent manner, revealing differences between bacterial and plant LPORs. Based on the presented results, we propose a novel classification of LPOR enzymes based on their biochemical properties and phylogenetic relationships.

Promoting Vibrations and the Function of Enzymes. Emerging Theoretical and Experimental Convergence

A complete understanding of enzyme catalysis requires knowledge of both transition state features and the detailed motions of atoms that cause reactant molecules to form and traverse the transition state. The seeming intractability of the problem arises from the femtosecond lifetime of chemical transition states, preventing most experimental access. Computational chemistry is admirably suited to short time scale analysis but can be misled by inappropriate starting points or by biased assumptions. Kinetic isotope effects provide an experimental approach to transition state structure and a method for obtaining transition state analogues but, alone, do not inform how that transition state is reached. Enzyme structures with transition state analogues provide computational starting points near the transition state geometry. These well-conditioned starting points, combined with the unbiased computational method of transition path sampling, provide realistic atomistic motions involved in transition state formation and passage. In many, but not all, enzymatic systems, femtosecond local protein motions near the catalytic site are linked to transition state formation. These motions are not inherently revealed by most approaches of transition state theory, because transition state theory replaces dynamics with the statistics of the transition state. Experimental and theoretical convergence of the link between local catalytic site vibrational modes and catalysis comes from heavy atom ("Born-Oppenheimer") enzymes. Fully labeled and catalytic site local heavy atom labels perturb the probability of finding enzymatic transition states in ways that can be analyzed and predicted by transition path sampling. Recent applications of these experimental and computational approaches reveal how subpicosecond local catalytic site protein modes play important roles in creating the transition state.

A complete thermodynamic analysis of enzyme turnover links the free energy landscape to enzyme catalysis

Our understanding of how enzymes work is coloured by static structure depictions where the enzyme scaffold is presented as either immobile, or in equilibrium between well-defined static conformations. Proteins, however, exhibit a large degree of motion over a broad range of timescales and magnitudes and this is defined thermodynamically by the enzyme free energy landscape (FEL). The role and importance of enzyme motion is extremely contentious. Much of the challenge is in the experimental detection of so called 'conformational sampling' involved in enzyme turnover. Herein we apply combined pressure and temperature kinetics studies to elucidate the full suite of thermodynamic parameters defining an enzyme FEL as it relates to enzyme turnover. We find that the key thermodynamic parameters governing vibrational modes related to enzyme turnover are the isobaric expansivity term and the change in heat capacity for enzyme catalysis. Variation in the enzyme FEL affects these terms. Our analysis is supported by a range of biophysical and computational approaches that specifically capture information on protein vibrational modes and the FEL (all atom flexibility calculations, red edge excitation shift spectroscopy and viscosity studies) that provide independent evidence for our findings. Our data suggest that restricting the enzyme FEL may be a powerful strategy when attempting to rationally engineer enzymes, particularly to alter thermal activity. Moreover, we demonstrate how rational predictions can be made with a rapid computational approach.

Nuclear quantum tunnelling in enzymatic reactions – an enzymologist's perspective

The roles of nuclear quantum tunnelling and dynamics in enzyme reactions are discussed in this perspective on H-transfer reactions.