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Multi-Omics Approaches to Study Molecular Mechanisms in Cannabis sativa

TitoloMulti-Omics Approaches to Study Molecular Mechanisms in Cannabis sativa
Tipo di pubblicazioneArticolo su Rivista peer-reviewed
Anno di Pubblicazione2022
AutoriSirangelo, Tiziana Maria, Ludlow Richard A., and Spadafora Natasha D.
RivistaPlants
Volume11
Type of ArticleReview
ISSN22237747
Abstract

Cannabis (Cannabis sativa L.), also known as hemp, is one of the oldest cultivated crops, grown for both its use in textile and cordage production, and its unique chemical properties. However, due to the legislation regulating cannabis cultivation, it is not a well characterized crop, especially regarding molecular and genetic pathways. Only recently have regulations begun to ease enough to allow more widespread cannabis research, which, coupled with the availability of cannabis genome sequences, is fuelling the interest of the scientific community. In this review, we provide a summary of cannabis molecular resources focusing on the most recent and relevant genomics, transcriptomics and metabolomics approaches and investigations. Multi-omics methods are discussed, with this combined approach being a powerful tool to identify correlations between biological processes and metabolic pathways across diverse omics layers, and to better elucidate the relationships between cannabis sub-species. The correlations between genotypes and phenotypes, as well as novel metabolites with therapeutic potential are also explored in the context of cannabis breeding programs. However, further studies are needed to fully elucidate the complex metabolomic matrix of this crop. For this reason, some key points for future research activities are discussed, relying on multi-omics approaches. © 2022 by the authors.

Note

Cited by: 8; All Open Access, Gold Open Access, Green Open Access

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85137582235&doi=10.3390%2fplants11162182&partnerID=40&md5=d237d402a4c7cfca71af33acb6681dc4
DOI10.3390/plants11162182
Citation KeySirangelo2022