Mapping the spatiotemporal distributions of terpenoids and coumarins in Ferula ferulaeoides stem by using MALDI-MSI
摘要
Ferula ferulaeoides is an endemic ephemeral medicinal plant in Xinjiang province of China. Visualizing the spatial distributions and dynamics of active metabolites is crucial for characterizing the metabolic networks of F. ferulaeoides, and this will also provide a highly informative approach to understand the complex molecular changes in the development of F. ferulaeoides resin duct (RD). In this study, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was used to investigate the spatiotemporal changes of 3 terpenoids (d-limonene, myrcene, and tussilagone) and 4 coumarins (heraclenol, marmesin, 5,7-dihydroxycoumarin, and ammoresinol) in the 3 different development stages of RD, and further investigate the spatial distributions of 4 terpenoids (d-limonene, myrcene, tussilagone, and guaiol) and 6 metabolites in the coumarins synthesis pathway (umbelliferone, 7-demethylsuberosin, marmesin, heraclenol, 5,7-dihydroxycoumarin, and ammoresinol) within the stem of F. ferulaeoides. It was found that the signal intensities of 7 targeted metabolites were not observed in the lumen formation stage and gradually increased from the lumen enlargement stage to the mature stage of RD. Furthermore, the 2 monoterpenes presented the same spatial distribution, mainly located in the stem RD with high abundance. In contrast, guaiol (a sesquiterpene) exhibited a more uneven distribution in the stems, with lower signal intensity compared to the 2 monoterpenes. Meanwhile, the downstream metabolites involved in the biosynthetic pathway of coumarins, particularly 5,7-dihydroxycoumarin and ammoresinol, were specifically localized in the RD. In conclusion, these spatially-resolved metabolite data not only provide direct evidence that a series of metabolic alterations occurred in different development stages of F. ferulaeoides RD but also enhance our understanding of the F. ferulaeoides metabolic networks.
Graphical abstract