Principles and strategies for species identification based on analysis of whole-genome
10.16438/j.0513-4870.2023-0513
- VernacularTitle:时珍法物种鉴定原理与研究策略
- Author:
Yu-tong GAN
1
;
Tian-yi XIN
1
,
2
;
Wen-jie XU
1
,
2
;
Li-jun HAO
1
;
Gui-hong QI
1
;
Qian LOU
1
;
Jing-yuan SONG
1
,
2
,
3
Author Information
1. Key Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China
2. Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Beijing 100193, China
3. Yunnan Branch, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Jinghong 666100, China
- Publication Type:Research Article
- Keywords:
analysis of whole-genome;
species identification;
hole genome;
bioinformatics analysis;
atabase construction
- From:
Acta Pharmaceutica Sinica
2023;57(8):2364-2374
- CountryChina
- Language:Chinese
-
Abstract:
The main sources of natural drugs include various biological species such as plants, animals, and microorganisms. The accurate identification of these species is the bedrock of natural drug development. We propose a novel method of species identification in this paper: analysis of whole-genome (AGE), a molecular diagnostic method used to identify species by finding species-specific sequences from the whole genome and precisely recognizing the specific target sequences. We elaborate that the principle for species identification based on AGE is that the genome sequences of diverse species must differ and divide the implementation strategy of the method into two levels of research and application. Based on our analysis of its characteristics, the method would have the potential advantages of reliable principle, high specificity, and wide applicability. Moreover, three crucial concerns related to building method systems including genome acquisition, bioinformatics analysis, and database construction, are further discussed. In summary, we offer theoretical underpinnings and methodological guidance for the development of bioinformatics software and commercial kits, indicating AGE has great application potential in objects, subjects, and industries.
