Theoretical and Experimental Studies on Plant Light-Dependent Protochlorophyllide Oxidoreductase as a Novel Target for Searching Potential Herbicides.

Autor: Liu R; College of Science, China Agricultural University, Beijing 100193, China., Wang L; College of Science, China Agricultural University, Beijing 100193, China., Meng Y; College of Science, China Agricultural University, Beijing 100193, China., Tian Y; College of Science, China Agricultural University, Beijing 100193, China., Li F; College of Science, China Agricultural University, Beijing 100193, China., Lu H; College of Science, China Agricultural University, Beijing 100193, China.
Jazyk: angličtina
Zdroj: Journal of agricultural and food chemistry [J Agric Food Chem] 2023 Aug 02; Vol. 71 (30), pp. 11654-11666. Date of Electronic Publication: 2023 Jul 19.
DOI: 10.1021/acs.jafc.3c01783
Abstrakt: Herbicide resistance is a prevalent problem that has posed a foremost challenge to crop production worldwide. Light-dependent enzyme NADPH: protochlorophyllide oxidoreductase (LPOR) in plants is a metabolic target that could satisfy this unmet demand. Herein, for the first time, we embarked on proposing a new mode of action of herbicides by performing structure-based virtual screening targeting multiple LPOR binding sites, with the determination of further bioactivity on the lead series. The feasibility of exploiting high selectivity and safety herbicides targeting LPOR was discussed from the perspective of the origin and phylogeny. Besides, we revealed the structural rearrangement and the selection key for NADPH cofactor binding to LPOR. Based on these, multitarget virtual screening was performed and the result identified compounds 2 affording micromolar inhibition, in which the IC 50 reached 4.74 μM. Transcriptome analysis revealed that compound 2 induced more genes related to chlorophyll synthesis in Arabidopsis thaliana, especially the LPOR genes. Additionally, we clarified that these compounds binding to the site enhanced the overall stability and local rigidity of the complex systems from molecular dynamics simulation. This study delivers a guideline on how to assess activity-determining features of inhibitors to LPOR and how to translate this knowledge into the design of novel and effective inhibitors against malignant weed that act by targeting LPOR.
Databáze: MEDLINE