Short-term effects of the allelochemical umbelliferone on Triticum durum L. metabolism through GC–MS based untargeted metabolomics. (September 2020)

• Record Type: Journal Article
• Authors: Misra, Biswapriya B.; Das, Vivek; Landi, M.; Abenavoli, M.R.; Araniti, Fabrizio
• Is Part Of: Plant science. Volume 298(2020)
• Publication Date: 2020-09
• Subjects: Metabolomics -- Gas chromatography–mass spectrometry -- Elicitation -- Polar -- Time-course -- Phytotoxicity -- Allelochemicals; Botany -- Periodicals; Botanique -- Périodiques; 580
• DOI: 10.1016/j.plantsci.2020.110548
• Languages: English
• ISSNs: 0168-9452

Abstract

Graphical abstract: Highlights: We studied time-course metabolomics of Umbelliferone (U) treatment in wheat. U reduced wheat seedling growth by 50 % of at a concentration of 104 μM. 177 metabolites were quantified and 22 of them changed significantly with time. Short-term changes in metabolite accumulation patterns and multivariate analysis reveal temporal changes. U induced a system-wide change in dysregulating primary and specialized metabolism. Abstract: The present study used untargeted metabolomics to investigate the short-term metabolic changes induced in wheat seedlings by the specialized metabolite umbelliferone, an allelochemical. We used 10 day-old wheat seedlings treated with 104 μM umbelliferone over a time course experiment covering 6 time points (0 h, 6 h, 12 h, 24 h, 48 h, and 96 h), and compared the metabolomic changes to control (mock-treated) plants. Using gas chromatography mass spectrometry (GCMS)-based metabolomics, we obtained quantitative data on 177 metabolites that were derivatized (either derivatized singly or multiple times) or not, representing 139 non-redundant (unique) metabolites. Of these 139 metabolites, 118 were associated with a unique Human Metabolome Database (HMDB) identifier, while 113 were associated with a Kyoto Encyclopedia of Genes and Genomes (KEGG) identifier. Relative quantification of these metabolites across the time-course of umbelliferone treatment revealed 22 compounds (sugars, fatty acids, secondary metabolites, organic acids, and amino acids) that changed significantly (repeated measures ANOVA, P-value < 0.05) over time. Using multivariate partial least squares discriminant analysis (PLS-DA), we showed the grouping of samples based on time-course across the control and umbelliferone-treated plants, whereas the metabolite-metabolite Pearson correlations revealed tightly formed clusters of umbelliferone-derived metabolites, fatty acids, amino acids, and carbohydrates. Also, the time-course umbelliferone treatment revealed that phospho-l -serine, maltose, and dehydroquinic acid were the top three metabolites showing highest importance in discrimination among the time-points. Overall, the biochemical changes converge towards a mechanistic explanation of the plant metabolic responses induced by umbelliferone. In particular, the perturbation of metabolites involved in tryptophan metabolism, as well as the imbalance of the shikimate pathways, which are strictly interconnected, were significantly altered by the treatment, suggesting a possible mechanism of action of this natural compound.