Wu Zhihua, Hu Yan, Hao Ruru, Li Ruting, Lu Xiaona, Itale Mdachi Winfrida, Yuan Yang, Zhu Xiaoxian, Zhang Jiaqiang, Wang Longxiang, Sun Meihao, Hou Xianfei
College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.
National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China.
Int J Mol Sci. 2025 Apr 19;26(8):3867. doi: 10.3390/ijms26083867.
Medicinal plants, recognized as significant natural resources, have gained prominence in response to the increasing global demand for herbal medicines, necessitating the large-scale production of these plants and their derivatives. Medicinal plants are exposed to a variety of internal and external factors that interact to influence the biosynthesis and accumulation of secondary metabolites. With the rapid development of omics technologies such as genomics, transcriptomics, proteomics, and metabolomics, multi-omics technologies have become important tools for revealing the complexity and functionality of organisms. They are conducive to further uncovering the biological activities of secondary metabolites in medicinal plants and clarifying the molecular mechanisms underlying the production of secondary metabolites. Also, artificial intelligence (AI) technology accelerates the comprehensive utilization of high-dimensional datasets and offers transformative potential for multi-omics analysis. However, there is currently no systematic review summarizing the genomic mechanisms of secondary metabolite biosynthesis in medicinal plants. Safflower ( L.) has rich and diverse bioactive flavonoids, among of which Hydroxysafflor yellow A (HSYA) is specific to safflower and emerging as a potential medication for treating a wide range of diseases. Hence, significant progress has been made in the study of safflower as an excellent example for the regulation of secondary metabolites in medicinal plants in recent years. Here, we review the progress on the understanding of the regulation of main secondary metabolites at the multi-omics level, and summarize the influence of various factors on their types and contents, with a particular focus on safflower flavonoids. This review aims to provide a comprehensive insight into the regulatory mechanisms of secondary metabolite biosynthesis from the perspective of genomics.
药用植物被认为是重要的自然资源,随着全球对草药需求的不断增加,其重要性日益凸显,这就需要大规模生产这些植物及其衍生物。药用植物会受到多种内部和外部因素的影响,这些因素相互作用,影响次生代谢产物的生物合成和积累。随着基因组学、转录组学、蛋白质组学和代谢组学等组学技术的快速发展,多组学技术已成为揭示生物体复杂性和功能的重要工具。它们有助于进一步揭示药用植物中次生代谢产物的生物活性,并阐明次生代谢产物产生的分子机制。此外,人工智能(AI)技术加速了高维数据集的综合利用,并为多组学分析提供了变革潜力。然而,目前尚无系统综述总结药用植物次生代谢产物生物合成的基因组机制。红花(Carthamus tinctorius L.)含有丰富多样的生物活性黄酮类化合物,其中羟基红花黄色素A(HSYA)是红花特有的,并且正在成为治疗多种疾病的潜在药物。因此,近年来,作为药用植物次生代谢产物调控的一个优秀范例,红花的研究取得了显著进展。在此,我们综述了在多组学水平上对主要次生代谢产物调控的理解进展,并总结了各种因素对其类型和含量的影响,特别关注红花黄酮类化合物。本综述旨在从基因组学角度全面洞察次生代谢产物生物合成的调控机制。
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