Deciphering the evolutionary origin of the enantioselectivity of short-chain dehydrogenases from plants toward 1-borneol.
Zuson, J., Helmer, C.P.O., Di Geronimo, B., Chanique, A.M., Kavciakova, K., Teijeiro-Juiz, R., Brickel, S., Ramirez Molina, N., Drienovska, I., Kracher, D., Gaucher, E.A., Kamerlin, S.C.L., Loll, B., Kourist, R.(2026) Nat Commun 17
- PubMed: 42744776 Search on PubMedSearch on PubMed Central
- DOI: https://doi.org/10.1038/s41467-026-76435-1
- Primary Citation Related Structures: 
8R0C, 8R0D - PubMed Abstract: 
Enzyme engineering has produced numerous methods to optimize enzymes for biotechnological processes; however, less is known about how natural evolution creates new functionalities. We investigate the evolutionary emergence of enantioselectivity in plant borneol dehydrogenases, which feature hydrophobic active-sites and are enantioselective towards dibornane-type monoterpenols. Ancestral sequence reconstruction provided a trajectory from the oldest unselective ancestor N30 (E = 12) toward a more recent selective ancestor N32, involving 19 mutations: 18 mutations are peripheral, one (I111L) occurs in the active-site. The mutation L111I in the hydrophobic pocket increased the selectivity of N30, while the back-mutation I111L decreased the selectivity of N32. Additional peripheral mutations (V136L/G169A/V183I) were required for high selectivity. Crystal structures suggested that protein dynamics rather than structural changes shape these catalytic properties; this was confirmed by Machine Learning/Molecular Mechanics simulations of ligand binding. Funnel-metadynamics simulations revealed a correlation between the active-site's solvent-accessible surface area and selectivity. This potential evolutionary pathway shapes enantioselectivity, and guides future enzyme engineering campaigns.
- Institute of Molecular Biotechnology, Graz University of Technology, Graz, Austria.
Organizational Affiliation: 

