Publications des scientifiques de l'IRD

Vasquez-Ocmin P. G., Marti G., Bonhomme M., Mathis F., Fournier S., Bertani Stéphane, Maciuk A. (2021). Cannabinoids vs. whole metabolome : relevance of cannabinomics in analyzing Cannabis varieties. Analytica Chimica Acta, 1184, p. 339020 [12 p.]. ISSN 0003-2670.

Titre du document
Cannabinoids vs. whole metabolome : relevance of cannabinomics in analyzing Cannabis varieties
Année de publication
2021
Type de document
Article référencé dans le Web of Science WOS:000724653500005
Auteurs
Vasquez-Ocmin P. G., Marti G., Bonhomme M., Mathis F., Fournier S., Bertani Stéphane, Maciuk A.
Source
Analytica Chimica Acta, 2021, 1184, p. 339020 [12 p.] ISSN 0003-2670
Cannabis sativa has a long history of domestication both for its bioactive compounds and its fibers. This has produced hundreds of varieties, usually characterized in the literature by chemotypes, with Delta(9)-THC and CBD content as the main markers. However, chemotyping could also be done based on minor compounds (phytocannabinoids and others). In this work, a workflow, which we propose to name cannabinomics, combines mass spectrometry of the whole metabolome and statistical analysis to help differentiate C. sativa varieties and deciphering their characteristic markers. By applying this cannabinomics approach to the data obtained from 20 varieties of C. sativa (classically classified as chemotype I, II, or III), we compared the results with those obtained by a targeted quantification of 11 phytocannabinoids. Cannabinomics can be considered as a complementary tool for phenotyping and genotyping, allowing the identification of minor compounds playing a key role as markers of differentiation.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du monde végétal [076]
Localisation
Fonds IRD [F B010083800]
Identifiant IRD
fdi:010083800
Contact