NMR-based metabolomic analysis of the seasonal and regional variability of phytochemical compounds in Curtisia dentata stem bark

Abstract

Traditional medicine markets are provided with medicinal plant material throughout the year, however, internal (e.g. plant age, genetic variability and differential expression of genes) and external factors (e.g. water and nutrient availability, rainfall, photoperiod and herbivory), affect secondary metabolite production in plants. In this study, seasonal variability in metabolite production in Curtisia dentata trees from two geographically separated regions in South Africa are compared. NMR analysis of C. dentata stem bark samples yielded spectral data which were processed in MestReNova to perform multivariate data analysis using Soft Independent Modeling of Class Analogy (SIMCA) software. This study shows that there are not only seasonal, regional and yearly differences in secondary metabolite production in C. dentata trees, but that production patterns of hydrophilic and lipophilic chemical compounds in individual trees also vary. Sucrose, isoeugenol and betulinic acid have been used in a targeted analysis to show the variation in individual compounds in the individual trees as a response to seasonal and geographical differences. Therefore, the season and year, as well as the region, harvesting site and specific trees from which plant material is collected affect the concentrations of chemical compounds extracted from C. dentata stem bark for the preparation of remedies.