Identification and quality evaluation of germplasm resources of commercial Scutellaria baicalensis based on DNA barcode and HPLC.
10.19540/j.cnki.cjcmm.20220117.101
- Author:
Jing-Han ZHANG
1
;
Shan-Hu LIU
1
;
Zhi-Fei ZHANG
1
;
Yue SHI
1
;
Jin-Hui MAN
1
;
Guang-Yao YIN
1
;
Xin WANG
1
;
Feng-Bo LIU
1
;
Xiao-Hui WANG
2
;
Sheng-Li WEI
3
Author Information
1. School of Chinese Materia Medica, Beijing University of Chinese Medicine Beijing 102488, China.
2. School of Chinese Materia Medica, Beijing University of Chinese Medicine Beijing 102488, China Modern Research Center for Traditional Chinese Medicine, School of Chinese Materia Medica, Beijing University of Chinese Medicine Beijing 100029, China.
3. School of Chinese Materia Medica, Beijing University of Chinese Medicine Beijing 102488, China Engineering Research Center of Good Agricultural Practice for Chinese Crude Drugs of Ministry of Education Beijing 100102, China.
- Publication Type:Journal Article
- Keywords:
DNA barcode;
Scutellaria baicalensis;
molecular identification;
quality evaluation
- MeSH:
Chromatography, High Pressure Liquid;
DNA Barcoding, Taxonomic/methods*;
DNA, Plant/genetics*;
Phylogeny;
Scutellaria baicalensis/genetics*
- From:
China Journal of Chinese Materia Medica
2022;47(7):1814-1823
- CountryChina
- Language:Chinese
-
Abstract:
Scutellaria baicalensis is a commonly used Chinese medicinal herb. In this study, we identified the germplasm resources of commercial S. baicalensis samples based on trnH-psbA, petA-psbJ, and ycf4-cemA sequences according to the available chloroplast genome sequencing results, and measured the content of baicalin by HPLC. Through the above means we determined the best DNA barcode that can be used to detect the germplasm resources and evaluate the quality of commercial S. baicalensis samples. A total of 104 samples were collected from 24 provinces, from which DNA was extracted for PCR amplification. The amplification efficiencies of trnH-psbA, petA-psbJ, and ycf4-cemA sequences were 100%, 59.62%, and 25.96%, respectively. The results of sequence analysis showed that 5, 4, and 2 haplotypes were identified based on trnH-psbA, petA-psbJ, and ycf4-cemA sequences, respectively. However, the sequences of haplotypes in commercial samples were different from that of the wild type, and the joint analysis of three fragments of S. baicalensis only identified 6 haplotypes. Furthermore, the phylogenetic analysis and genetic distance analysis indicated that trnH-psbA could be used to identify S. baicalensis from adulterants. The above analysis showed that trnH-psbA was the best fragment for identifying the germplasm resources of commercial S. baicalensis samples. We then analyzed the haplotypes(THap1-THap5) of commercial S. baicalensis samples based on trnH-psbA and found that THap2 was the main circulating haplotype of the commercial samples, accounting for 86.55% of the total samples, which indicated the scarce germplasm resources of commercial S. baicalensis samples. The content of baicalin in all the collected commercial S. baicalensis samples exceeded the standard in Chinese Pharmacopoeia and had significant differences(maximum of 12.21%) among samples, suggesting that the quality of commercial S. baicalensis samples varied considerably. However, there was no significant difference in baicalin content between different provinces or between different haplotypes. This study facilitates the establishment of the standard identification system for S. baicalensis, and can guide the commercial circulation and reasonable medication of S. baicalensis.
