Metabolic characterization and transcriptional profiling of polyphenols in Cannabis sativa L. inflorescences with different chemical phenotypes.

IF 3.6 3区 生物学 Q1 PLANT SCIENCES Planta Pub Date : 2024-08-20 DOI:10.1007/s00425-024-04505-z
Laura Bassolino, Flavia Fulvio, Andrea Cerrato, Cinzia Citti, Giuseppe Cannazza, Anna Laura Capriotti, Ilaria Alberti, Irma Terracciano, Nicola Pecchioni, Roberta Paris
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Abstract

Main conclusion: 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.

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具有不同化学表型的大麻(Cannabis sativa L.)花序中多酚的代谢特征和转录谱分析。
主要结论:经过对大麻中的酚类成分进行迄今为止最全面的分析,共鉴定出 211 种化合物,酚类成分图谱能够区分大麻品种,并强调了大麻化学变种中酚类物质积累的复杂调控网络。大麻雌花序中含有大量次生代谢物,其中黄酮类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酮类化合物的生化组成、黄酮类化合物合成的分子基础以及它们的含量如何受特定转录因子的调控,将有助于揭示种质中这一性状的变异性,从而鉴定出对各行各业有意义的生物活性代谢物。在这项工作中,通过超高效液相色谱-质谱联用仪(UHPLC-HRMS)采用了一种非靶向代谢组学方法,研究了因植物大麻素特征而不同的 13 种大麻基因型中苯丙类化合物的组成和变异性,突出表明酚类特征可以区分品种,并具有与基因型相关的特征性独特模式。此外,通过 RT-qPCR 分析候选酚类调控 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相关的特定模式。研究结果凸显了大麻化学变种中酚类物质积累的复杂调控网络,需要从功能方面进一步深入了解。
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来源期刊
Planta
Planta 生物-植物科学
CiteScore
7.20
自引率
2.30%
发文量
217
审稿时长
2.3 months
期刊介绍: Planta publishes timely and substantial articles on all aspects of plant biology. We welcome original research papers on any plant species. Areas of interest include biochemistry, bioenergy, biotechnology, cell biology, development, ecological and environmental physiology, growth, metabolism, morphogenesis, molecular biology, new methods, physiology, plant-microbe interactions, structural biology, and systems biology.
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