Assessing specialized metabolite diversity of Alnus species by a digitized LC–MS/MS data analysis workflow

Kyo Bin Kang*, Sunmin Woo, Madeleine Ernst, Justin J.J. van der Hooft, Louis Félix Nothias, Ricardo R. da Silva, Pieter C. Dorrestein, Sang Hyun Sung, Mina Lee

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Article number112292
JournalPhytochemistry
Volume173
DOIs
Publication statusPublished - 1 May 2020

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Keywords

  • Alnus spp.
  • Betulaceae
  • Chemical diversity
  • Data analysis
  • LC–MS/MS
  • Specialized metabolites

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