Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops (CREA-CI), via di Corticella 133, 40128, Bologna, Italy.
Department of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.
Planta. 2024 Aug 20;260(4):76. doi: 10.1007/s00425-024-04505-z.
After the most comprehensive analysis of the phenolic composition in Cannabis reported to date, a total of 211 compounds were identified, phenolic profiles were able to discriminate cannabis varieties and a complex regulatory network for phenolics accumulation in Cannabis chemovars was highlighted. Female inflorescences of Cannabis sativa L. are plenty of secondary metabolites, of which flavonoids and phenolic acids have been investigated by far less than phytocannabinoids and terpenoids. Understanding the biochemical composition in phenylpropanoids of Cannabis inflorescences, the molecular basis of flavonoid synthesis and how their content can be modulated by specific transcription factors will shed light on the variability of this trait in the germplasm, allowing the identification of biologically active metabolites that can be of interest to diverse industries. In this work, an untargeted metabolomic approach via UHPLC-HRMS was adopted to investigate the composition and variability of phenylpropanoids in thirteen Cannabis genotypes differentiated for their profile in phytocannabinoids, highlighting that phenolic profiles can discriminate varieties, with characteristic, unique genotype-related patterns. Moreover, the transcription profile of candidate phenolics regulatory MYB and bHLH transcription factors, analyzed by RT-qPCR, appeared strongly genotype-related, and specific patterns were found to be correlated between biochemical and transcriptional levels. Results highlight a complex regulatory network for phenolic accumulation in Cannabis chemovars that will need further insights from the functional side.
在对迄今为止报道的大麻酚类成分进行最全面的分析之后,共鉴定出 211 种化合物,酚类图谱能够区分大麻品种,并突出了大麻化学型中酚类积累的复杂调控网络。大麻属植物的雌性花序富含次生代谢产物,其中黄酮类化合物和酚酸类化合物的研究远远少于植物大麻素和萜类化合物。了解大麻花序中苯丙烷类化合物的生化组成、黄酮类合成的分子基础以及特定转录因子如何调节其含量,将有助于阐明该性状在种质中的变异性,从而鉴定出对不同行业有兴趣的生物活性代谢物。在这项工作中,采用 UHPLC-HRMS 的非靶向代谢组学方法研究了十三个性状不同的大麻基因型中苯丙烷类化合物的组成和变异性,这些基因型在植物大麻素方面存在差异,突出了酚类图谱可以区分品种,具有独特的、与基因型相关的特征模式。此外,通过 RT-qPCR 分析候选酚类调节 MYB 和 bHLH 转录因子的转录谱,发现其与基因型密切相关,并且在生化和转录水平之间发现了特定的相关性模式。研究结果突出了大麻化学型中酚类积累的复杂调控网络,这需要从功能方面进一步深入了解。