Vasquez-Ocmin P. G. auteur aut IRD Marti G. auteur aut IRD Bonhomme M. auteur aut IRD Mathis F. auteur aut IRD Fournier S. auteur aut IRD Bertani Stéphane auteur aut IRD Maciuk A. auteur aut IRD text journalArticle eng text/pdf reformatted digital access 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. specialized Cannabis Cannabinomics Chemotypes Metabolome Phytocannabinoids 076 020 1184 339020 [12 p.] 2021 0003-2670 https://www.documentation.ird.fr/hor/fdi:010083800 10.1016/j.aca.2021.339020 0003-2670 [F B010083800] https://www.documentation.ird.fr/hor/fdi:010083800 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-01/010083800.pdf IRD - Base Horizon / Pleins textes 2022-01-12 2025-02-24 fdi:010083800 fre