Integration of non-targeted metabolomics and automated determination of elemental compositions for comprehensive alkaloid profiling in plants

Vanderplanck, Maryse; Glauser, G.

doi:10.1016/j.phytochem.2018.06.011

Article (Scientific journals)

Integration of non-targeted metabolomics and automated determination of elemental compositions for comprehensive alkaloid profiling in plants

Vanderplanck, Maryse; Glauser, G.

2018 • In Phytochemistry, 154, p. 1-9

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/265920

DOI
10.1016/j.phytochem.2018.06.011

PubMed
29929020

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Keywords :

Aconitum lycoctonum; Aconitum napellus; Alkaloids; Chemotaxonomy; Elemental composition; Metabolite profiling; Ranunculaceae; UHPLC-HRMS; Aconitum; Automation; Chromatography, High Pressure Liquid; Mass Spectrometry; Metabolomics

Abstract :

[en] Plants produce a large array of specialized metabolites to protect themselves. Among these allelochemicals, alkaloids display highly diverse and complex structures that are directly related to their biological activities. Plant alkaloid profiling traditionally requires extensive and time-consuming sample preparation and analysis. Herein, we developed a rapid and efficient approach for the comprehensive profiling of alkaloids in plants using ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS)-based metabolomics. Using automated compound extraction and elemental composition assignment, our method achieved >83% correct alkaloid identification and even >90% for medium to high intensity peaks. This represented a significant improvement in identification rate compared to generic methods used for EC determination with no a priori, such as in untargeted metabolomics studies. The developed approach was then applied to identify specific alkaloids of Aconitum lycoctonum L. and A. napellus L. (Ranunculaceae) using different parts of the plant (leaf, perianth and pollen). Significant differences in alkaloid profiles between the two species were highlighted and discussed under taxonomic and evolutionary perspectives. Taken together, the presented approach constitutes a valuable chemotaxonomic tool in the search for known and unknown alkaloids from plants. © 2018 Elsevier Ltd

Disciplines :

Agriculture & agronomy

Author, co-author :

Vanderplanck, Maryse ; Université de Liège - ULg

Glauser, G.; Neuchâtel Platform of Analytical Chemistry, University of Neuchâtel, Avenue de Bellevaux 51, Neuchâtel, CH-2000, Switzerland

Language :

English

Title :

Integration of non-targeted metabolomics and automated determination of elemental compositions for comprehensive alkaloid profiling in plants

Publication date :

2018

Journal title :

Phytochemistry

ISSN :

0031-9422

eISSN :

1873-3700

Publisher :

Elsevier, Netherlands

Volume :

154

Pages :

1-9

Peer reviewed :

Peer Reviewed verified by ORBi

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
UNINE - Université de Neuchâtel [CH]

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since 10 December 2021

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