Advances in research methods for biosynthetic pathway analysis of active ingredients in traditional Chinese medicine.
10.19540/j.cnki.cjcmm.20230324.101
- Author:
Wen-Long SHI
1
;
Jian WANG
1
;
Ying MA
1
;
Juan GUO
1
;
Lu-Qi HUANG
1
Author Information
1. State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica,China Academy of Chinese Medical Sciences Beijing 100700, China.
- Publication Type:Journal Article
- Keywords:
active ingredients in traditional Chinese medicine;
biosynthetic pathway;
functional gene;
heterologous expression;
multi-omics
- MeSH:
Medicine, Chinese Traditional;
Drugs, Chinese Herbal;
Artificial Intelligence;
Biosynthetic Pathways;
Computer Simulation;
Genome-Wide Association Study
- From:
China Journal of Chinese Materia Medica
2023;48(9):2273-2283
- CountryChina
- Language:Chinese
-
Abstract:
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.
