Title
Cannabinoids vs. whole metabolome: Relevance of cannabinomics in analyzing Cannabis varieties
Date Issued
01 November 2021
Access level
open access
Resource Type
journal article
Author(s)
Marti G.
Bonhomme M.
Mathis F.
Fournier S.
Maciuk A.
Université Paris-Saclay
Université de Toulouse
Publisher(s)
Elsevier B.V.
Abstract
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 Δ9-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.
Volume
1184
Language
English
OCDE Knowledge area
Forestal
Scopus EID
2-s2.0-85114904992
PubMed ID
Source
Analytica Chimica Acta
ISSN of the container
00032670
Sponsor(s)
The authors wish to acknowledge HEMP-it ADN for the postdoctoral fellowship of PGV-O (CNRS UMR 8076 BioCIS). PGV-O was also supported by a postdoctoral fellowship (contract number 04077858) from the French National Research Institute for Sustainable Development (IRD), UMR 152 PHARMADEV, IRD-UPS, Toulouse, France. The authors are grateful to Bruno Figadère (CNRS UMR 8076 BioCIS, Châtenay-Malabry); Justine Chervin and Virginie Puech-Pagès (MetaboHUB-MetaToul-Agromix, LRSV, Auzeville-Tolosane); Guillaume Cabanac (IRIT, Toulouse); Claire Thouminot and Christophe Fevrier (HEMP-it ADN, Beaufort-en-Anjou). The authors are also grateful to Alice Gadea (UMR 152 PHARMADEV, IRD-UPS, Toulouse, France), Alice Kan, and Joshua Lee Halford (Department of Biochemistry, UCR, Riverside, USA) for their important critical discussions. The authors wish to acknowledge HEMP-it ADN for the postdoctoral fellowship of PGV-O (CNRS UMR 8076 BioCIS). PGV-O was also supported by a postdoctoral fellowship (contract number 04077858) from the French National Research Institute for Sustainable Development (IRD), UMR 152 PHARMADEV, IRD-UPS, Toulouse, France. The authors are grateful to Bruno Figad?re (CNRS UMR 8076 BioCIS, Ch?tenay-Malabry); Justine Chervin and Virginie Puech-Pag?s (MetaboHUB-MetaToul-Agromix, LRSV, Auzeville-Tolosane); Guillaume Cabanac (IRIT, Toulouse); Claire Thouminot and Christophe Fevrier (HEMP-it ADN, Beaufort-en-Anjou). The authors are also grateful to Alice Gadea (UMR 152 PHARMADEV, IRD-UPS, Toulouse, France), Alice Kan, and Joshua Lee Halford (Department of Biochemistry, UCR, Riverside, USA) for their important critical discussions.
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