Genetic Characterization and Chemical Identification of Moroccan Cannabis sativa (L.) Seeds: Extraction, and In Vitro and In Silico Biological Evaluation.
Amira MetouekelFadwa BadranaRabie KachkoulChebaibi MohamedMohamed AkhazzaneAbdelfattah E L MoussaouiNadia TouilHamid El AmriElmostafa El FahimeSaïd El KazzouliNabil El BrahmiPublished in: Plants (Basel, Switzerland) (2024)
This study investigated the molecular, phytochemical, and biological aspects of ten local Moroccan traditional landrace Cannabis seeds. Genetic polymorphisms were analyzed using DNA barcode determination, revealing two distinct molecular profiles: " Cannabis , species sativa, subspecies indica " and " Cannabis , species sativa , subspecies sativa ". Furthermore, a new sequence was identified by sequencing of the THCA synthase coding gene. Chemical profiling via HPLC-ESI-FULL-MS and GC-MS-MS of AMSD1 maceration extracts revealed 13 non-volatile chemicals, including 3 inactive cannabinoids and 3 polyphenols, and 24 intriguing volatile compounds, including 7 previously unreported in Cannabis seed extracts. Moreover, the in vitro/in silico analysis provision of biological activities through their antioxidant power, antimicrobial effect, and cytotoxicity potency, as well as antiviral activity, were realized. These results contribute to a thorough comprehension of Moroccan Cannabis seeds, illuminating their molecular, phytochemical, and biological features. Furthermore, they highlight the seeds as a potential source of nutritious components with antioxidant properties, offering valuable insights for future research.
Keyphrases
- ms ms
- single cell
- mass spectrometry
- single molecule
- oxidative stress
- liquid chromatography tandem mass spectrometry
- staphylococcus aureus
- molecular docking
- gas chromatography
- gene expression
- solid phase extraction
- dna methylation
- genome wide
- high performance liquid chromatography
- simultaneous determination
- high resolution
- current status
- tandem mass spectrometry
- molecularly imprinted
- ultra high performance liquid chromatography
- bioinformatics analysis