中药中的有效成分是中药功效的基础,也是形成道地药材的关键。研究这些活性成分的生物合成及调控机制,对于分析道地药材的形成机理,为合成生物学生产中药活性成分提供组分具有重要意义。随着组学技术的进步,分子生物学,合成生物学,人工智能,等。,中药活性成分的生物合成途径分析进展迅速。新的方法和技术促进了中药活性成分合成途径的分析,也使这一领域成为分子生药学研究的热点。许多研究人员在分析人参等中药活性成分的生物合成途径方面取得了重大进展,丹参,甘草,还有雷公藤.本文系统综述了中药活性成分生物合成功能基因的研究进展,阐述了基于多组学技术的基因元件挖掘和以候选基因为对象的植物体内外基因功能验证。此外,本文总结了近年来出现的新技术和新方法,如高通量筛选,分子探针,全基因组关联研究,无细胞系统,和计算机模拟筛选,为分析中药活性成分的生物合成途径提供综合参考。
The active ingredients in traditional Chinese medicine(TCM)are the foundation for the efficiency of TCM and the key to the formation of Dao-di herbs. It is of great significance to study the biosynthesis and regulation mechanisms of these active ingredients for analyzing the formation mechanism of Daodi herbs and providing components for the production of active ingredients in TCM by synthetic biology. With the advancements in omics technology, molecular biology, synthetic biology, artificial intelligence, etc., the analysis of biosynthetic pathways for active ingredients in TCM is rapidly progressing. New methods and technologies have promoted the analysis of the synthetic pathways of active ingredients in TCM and have also made this area a hot topic in molecular pharmacognosy. Many researchers have made significant progress in analyzing the biosynthetic pathways of active ingredients in TCM such as Panax ginseng, Salvia miltiorrhiza, Glycyrrhiza uralensis, and Tripterygium wilfordii. This paper systematically reviewed current research me-thods for analyzing the biosynthetic functional genes of active ingredients in TCM, elaborated the mining of gene elements based on multiomics technology and the verification of gene functions in plants in vitro and in vivo with candidate genes as objects. Additionally, the paper summarized new technologies and methods that have emerged in recent years, such as high-throughput screening, molecular probes, genome-wide association studies, cell-free systems, and computer simulation screening to provide a comprehensive reference for the analysis of the biosynthetic pathways of active ingredients in TCM.