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

Abstract

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.

Prediction of the taxonomical classification of theRanunculaceaefamily using a machine learning method

“…As a result, the compounds within various genera formed obvious clustering so as to obtain better resolution at the genus–compound level with respect to the species–compound level. Berkov et al 41 and Fayek et al 42 also found that the possible discrimination based on even comprehensive metabolome data will finally not allow conclusions at the species level, but is more appropriate at the genus or subgenus level.…”

Quality Control, Anti-Hyperglycemic, and Anti-Inflammatory Assessment of Colvillea racemosa Leaves Using In Vitro, In Vivo Investigations and Its Correlation with the Phytoconstituents Identified via LC-QTOF-MS and MS/MS

“…The sample was ready at a concentration of 1 mg/mL in HPLC-grade methanol, and the injection volume was 10 µL. The metabolites characterization was according to the strategy proposed by several studies [ 47 , 49 , 89 ]. Metabolite assignments were achieved by the observation of the retention time (RT) for each candidate alongside the mass to charge ( m / z ) observed in the positive mode [M+H]+, molecular formula, mass score not less than 80%, error ± 3, and major MS/MS fragments.…”

Principles and Applications of Ultra-High-Performance Liquid Chromatography

“…Seventy-eight out of the 89 detected metabolites were annotated. The study shows UHPLC-MS metabolomics method ability to discern the diversity of metabolites at the intrageneric level among Vicia species [54].…”