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大麻组学:代谢组学在大麻研究与开发中的应用

Cannabinomics: Application of Metabolomics in ( L.) Research and Development.

作者信息

Aliferis Konstantinos A, Bernard-Perron David

机构信息

Laboratory of Pesticide Science, Agricultural University of Athens, Athens, Greece.

Department of Plant Science, McGill University, Montreal, QC, Canada.

出版信息

Front Plant Sci. 2020 May 8;11:554. doi: 10.3389/fpls.2020.00554. eCollection 2020.

Abstract

( L.) is a complex, polymorphic plant species, which produces a vast array of bioactive metabolites, the two major chemical groups being cannabinoids and terpenoids. Nonetheless, the psychoactive cannabinoid tetrahydrocannabinol (Δ -THC) and the non-psychoactive cannabidiol (CBD), are the two major cannabinoids that have monopolized the research interest. Currently, more than 600 varieties are commercially available, providing access to a multitude of potent extracts with complex compositions, whose genetics are largely inconclusive. Recently introduced legislation on cultivation in many countries represents a great opportunity, but at the same time, a great challenge for research and development (R&D) toward applications in the pharmaceutical, food, cosmetics, and agrochemical industries. Based on its versatility and unique capabilities in the deconvolution of the metabolite composition of complex matrices, metabolomics represents an ideal bioanalytical tool that could greatly assist and accelerate R&D. Among others, metabolomics or cannabinomics can be applied in the taxonomy of varieties in chemovars, the research on the discovery and assessment of new -based sources of bioactivity in medicine, the development of new food products, and the optimization of its cultivation, aiming for improvements in yield and potency. Although research is still in its infancy, it is highly foreseen that the employment of advanced metabolomics will provide insights that could assist the sector to face the aforementioned challenges. Within this context, here, the current state-of-the-art and conceptual aspects of cannabinomics are presented.

摘要

(大麻)是一种复杂的多态性植物物种,能产生大量生物活性代谢物,其中两个主要化学类别是大麻素和萜类化合物。尽管如此,具有精神活性的大麻素四氢大麻酚(Δ⁹-THC)和无精神活性的大麻二酚(CBD)是占据研究兴趣主导地位的两种主要大麻素。目前,有600多个品种可供商业使用,可获取多种成分复杂的强效提取物,其遗传情况大多尚无定论。最近许多国家出台的关于大麻种植的立法既是一个重大机遇,但同时对于面向制药、食品、化妆品和农用化学品行业应用的研发来说也是一个巨大挑战。基于其在复杂基质代谢物组成解卷积方面的多功能性和独特能力,代谢组学是一种理想的生物分析工具,可极大地助力并加速研发。其中,代谢组学或大麻组学可应用于化学变种中大麻品种的分类学、基于大麻的医学新生物活性来源的发现与评估研究、新食品的开发以及大麻种植的优化,目标是提高产量和效力。尽管大麻研究仍处于起步阶段,但可以高度预见,先进代谢组学的应用将提供有助于该领域应对上述挑战的见解。在此背景下,本文介绍了大麻组学的当前技术水平和概念性方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5e/7225349/8d1ca1331958/fpls-11-00554-g001.jpg

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