Does the Phytochemical Diversity of Wild Plants Like the Erythrophleumgenus Correlate with Geographical Origin?

Molecules

David Touboul¹  OlivierJ. Hardy²  Marie Tremblay-Franco³  Jean-François Martin³  Nausicaa Noret⁴  Anais Gorel⁵  Caroline Stévigny⁶  Pierre Van Antwerpen⁶  Marie Faes⁶  Cédric Delporte⁶  Cécile Vanhaverbeke⁷  Florence Souard⁷ 

[1] CNRS, Institut de Chimie des Substances Naturelles, Université Paris-Saclay, UPR 2301, 91198, Gif-sur-Yvette, France;Evolutionary Biology and Ecology, Faculté des Sciences, Université libre de Bruxelles, Campus du Solbosch, CP 160/12, 1050 Brussels, Belgium;INRAE, UMR 1331, PF MetaToul-AXIOM, Toxalim, 31027 Toulouse, France;Laboratoire d’Écologie végétale et Biogéochimie, Faculté des Sciences, Université libre de Bruxelles, Campus Plaine, CP 244, 1050 Brussels, Belgium;Laboratory of Plant Ecology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, 9052 Ghent, Belgium;RD3-Pharmacognosy, Bioanalysis and Drug Discovery, Faculté de Pharmacie, Université libre de Bruxelles, Campus Plaine, CP 205/05, 1050 Brussels, Belgium;Univiversité Grenoble Alpes, CNRS, DPM, 38000 Grenoble, France;

关键词: eco-metabolomics;    plant-omics;    plant fingerprint;    metabolomics;    natural variation;    molecular networks;   

DOI  :  10.3390/molecules26061668

来源: DOAJ

【 摘 要 】

Secondary metabolites are essential for plant survival and reproduction. Wild undomesticated and tropical plants are expected to harbor highly diverse metabolomes. We investigated the metabolomic diversity of two morphologically similar trees of tropical Africa, Erythrophleum suaveolens and E. ivorense, known for particular secondary metabolites named the cassaine-type diterpenoids. To assess how the metabolome varies between and within species, we sampled leaves from individuals of different geographic origins but grown from seeds in a common garden in Cameroon. Metabolites were analyzed using reversed phase LC-HRMS(/MS). Data were interpreted by untargeted metabolomics and molecular networks based on MS/MS data. Multivariate analyses enabled us to cluster samples based on species but also on geographic origins. We identified the structures of 28 cassaine-type diterpenoids among which 19 were new, 10 were largely specific to E. ivorense and five to E. suaveolens. Our results showed that the metabolome allows an unequivocal distinction of morphologically-close species, suggesting the potential of metabolite fingerprinting for these species. Plant geographic origin had a significant influence on relative concentrations of metabolites with variations up to eight (suaveolens) and 30 times (ivorense) between origins of the same species. This shows that the metabolome is strongly influenced by the geographical origin of plants (i.e., genetic factors).

【 授权许可】

Unknown