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Positive correlations between hypericin and putative precursors detected in the quantitative secondary metabolite spectrum of Hypericum
Authors:Souvik Kusari  Sebastian Zühlke  Thomas Borsch  Michael Spiteller  
Institution:aInstitut für Umweltforschung (INFU), Technische Universität Dortmund, Otto-Hahn-Strasse 6, D-44221 Dortmund, Germany;bBotanischer Garten und Botanisches Museum Berlin-Dahlem, und Institut für Biologie/Botanik, Freie Universität Berlin, Königin-Luise-Straße 6-8, 14195 Berlin, Germany
Abstract:A spectrum of eight pharmacologically important secondary compounds, all putatively belonging to the polyketide pathway (hypericin, pseudohypericin, emodin, hyperforin, hyperoside, rutin, quercetin, and quercitrin) were analyzed in several hypericin-producing species of Hypericum by LC–MS/MS. Different organs such as leaves, stems and roots of wild-grown plants of Hypericum hirsutum L., Hypericum maculatum Crantz s. l., Hypericum montanum L., Hypericum tetrapterum Fr. collected in Slovakia and of Hypericum perforatum L. collected in India were examined individually. Highest contents of hypericin, pseudohypericin, and emodin were found in H. montanum, suggesting that there are alternative species to H. perforatum with high pharmaceutical value. Amounts of hyperforin and quercetin were highest in H. perforatum, whereas highest contents of hyperoside and quercitrin were found in H. maculatum. A significant positive correlation between hypericin and pseudohypericin as well as between hypericin and emodin was observed by Kruskal’s multidimensional scaling (MDS), indicating a parallel enhancement of emodin as a common precursor in the biosynthetic pathways of hypericin and pseudohypericin. Furthermore, MDS combined with principal component analysis (PCA) revealed strong correlations in the occurrence of pseudohypericin and emodin, pseudohypericin and quercitrin, hypericin and quercitrin, emodin and quercitrin, hyperoside and quercitrin, rutin and quercetin, and, hyperforin and quercetin. On the other hand, rutin showed a negative correlation with emodin as well as with quercitrin. Furthermore, hierarchical agglomerative cluster analysis (HACA) clustered hypericin and pseudohypericin, grouping emodin at equal distance from both. Considerable infraspecific variability in secondary compound spectrum and load of different populations of H. maculatum from Slovakia underscores the need for detailed studies of genotypic variation and environmental factors in relation to polyketide biosynthesis and accumulation.
Keywords:LC–  MS/MS analysis  Multivariate analysis  Kruskal’  s multidimensional scaling  Principal component analysis  Linear discriminant analysis  Hierarchical agglomerative cluster analysis
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