4.7 Article

UPLC-MS Metabolome-Based Seed Classification of 16 Vicia Species: A Prospect for Phyto-Equivalency and Chemotaxonomy of Different Accessions

Journal

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 69, Issue 17, Pages 5252-5266

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.0c06054

Keywords

Vicia; vetch species; chemometrics; UPLC-MS; phenolics

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Seeds of domesticated and wild Vicia species are globally produced and consumed for their nutritional value. A chemotaxonomic study using UPLC-MS identified a diverse range of metabolites in 16 Vicia species, with flavonoids, fatty acids, and anthocyanins potentially serving as chemotaxonomic markers for species discrimination. This study represents the first report on utilizing UPLC-MS metabolomics for discerning metabolite diversity among Vicia species at the intrageneric level.
Seeds of domesticated Vicia (vetch) species (family Fabaceae-Faboideae) are produced and consumed worldwide for their nutritional value. Seed accessions belonging to 16 different species of Vicia-both domesticated and wild taxa-were subjected to a chemotaxonomic study using ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) analyzed by chemometrics. A total of 89 metabolites were observed in the examined Vicia accessions. Seventy-eight out of the 89 detected metabolites were annotated. Metabolites quantified belonged to several classes, viz., flavonoids, procyanidins, prodelphinidins, anthocyanins, stilbenes, dihydrochalcones, phenolic acids, coumarins, alkaloids, jasmonates, fatty acids, terpenoids, and cyanogenics, with flavonoids and fatty acids amounting to the major classes. Flavonoids, fatty acids, and anthocyanins showed up as potential chemotaxonomic markers in Vicia species discrimination. Fatty acids were more enriched in Vicia faba specimens, while the abundance of flavonoids was the highest in Vicia parviflora. Anthocyanins allowed for discrimination between Vicia hirsuta and Vicia sepium. To the best of our knowledge, this is the first report on employing UPLC-MS metabolomics to discern the diversity of metabolites at the intrageneric level among Vicia species.

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