Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 561578
Title Assessing specialized metabolite diversity of Alnus species by a digitized LC–MS/MS data analysis workflow
Author(s) Kang, Kyo Bin; Woo, Sunmin; Ernst, Madeleine; Hooft, Justin J.J. van der; Nothias, Louis Félix; Silva, Ricardo R. da; Dorrestein, Pieter C.; Sung, Sang Hyun; Lee, Mina
Source Phytochemistry 173 (2020). - ISSN 0031-9422
Department(s) Bioinformatics
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) Alnus spp. - Betulaceae - Chemical diversity - Data analysis - LC–MS/MS - Specialized metabolites

Alnus spp. (Betulaceae) have been used for treatments of hemorrhage, burn injuries, antipyretic fever, diarrhea, and alcoholism in traditional medicines. In this study, a digitized LC–MS/MS data analysis workflow was applied to provide an overview on chemical diversity of 15 Alnus extracts prepared from bark, twigs, leaves, and fruits of A. japonica, A. firma, A. hirsuta, and A. hirsuta var. sibirica. Most of the MS/MS spectra could be putatively annotated based on library matching, in silico fragmentation, and substructural topic modeling. The putative annotation allowed us to discriminate the extracts into three chemotypes based on dominant chemical scaffolds: diarylheptanoids, flavonoids or tannins. This high-throughput chemical annotation was correlated with α-glucosidase inhibition data of extracts, and it allowed us to identify gallic acid as the major active compound of A. firma.

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