1.Molecular identification of raw materials from lian qiao bai du wan.
Zhanhu CUI ; Chao JIANG ; Minhui LI ; Min CHEN ; Lishe ZHOU ; Yuan YUAN
Acta Pharmaceutica Sinica 2013;48(4):590-6
Lian Qiao Bai Du Wan was used to study the identification of Chinese patent medicine by molecular marker technique. DNA was extracted through modified CTAB method. The psbA-trnH and rbcL sequences were gradient amplified, and PCR products were ligated with the pEASY-T5 vector and then transformed into Trans1-T1 cells, respectively. Clones were selected randomly and sequenced. All sequences were analyzed by BlastN and the neighbor-joining (NJ) phylogenetic tree was constructed by MEGA 4.0. The results showed that nine kinds of medicinal materials can be identified by psbA-trnH sequences, and six kinds of medicinal materials by rbcL sequences from Lian Qiao Bai Du Wan. Molecular marker technique can stably and accurately distinguish multi-origin medicinal materials in Chinese patent medicine.
2.Endophytes of Nanyang Mugwort(Artemisia argyi)and Correlation Between Key Communities and Secondary Metabolites
Mengzhi LI ; Chao LI ; Zhanhu CUI ; Yan WEI ; Lin ZHU ; Xianzhang HUANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(5):1202-1212
Objective To explore the effect of endophytes on Nanyang Mugwort by analyzing the diversity of endophytic flora and its correlation with the content of key secondary metabolites in three compartments of Nanyang Mugwort,and the effect of medicinal material quality.Methods In this study,high-throughput sequencing and high-performance liquid chromatography(HPLC)were carried out to determine the distribution endophytes and key secondary metabolites in three compartments of Nanyang Mugwort respectively.The endophytic communities that were significantly correlated with key secondary metabolites were screened by Pearson correlation analysis.Results We found endophytic diversity and composition showed compartment specificity,and bacterial and fungal alpha diversity values(Chao and Ace)in the root compartment were significantly higher than that of leaf and stem.Linear discriminant analysis efect size(LEfSe)analyses identified some potential microbial biomarkers,such as Rhizobium,Streptomyce,Xanthomonadaceae,and Sordariomycetes.Pearson correlation analysis showed that endophytes(such as Rhizobium,Pseudomonas,Flavobacterium,Streptomyces Aspergillus,and Olpidium)were significantly correlated with contents of some phenylpropanoid and flavonoid metabolites in our study(P<0.05).Conclusion In this study,some endophytic communities with significant correlation between key secondary metabolites of Nanyang Mugwort were identified,which provided valuable information to guide the isolation of endophytic strains related to key secondary metabolites and improve the quality of Nanyang Mugwort.
3.Commercialized non-Camellia tea: traditional function and molecular identification.
Ping LONG ; Zhanhu CUI ; Yingli WANG ; Chunhong ZHANG ; Na ZHANG ; Minhui LI ; Peigen XIAO ;
Acta Pharmaceutica Sinica B 2014;4(3):227-237
Non-Camellia tea is a part of the colorful Chinese tea culture, and is also widely used as beverage and medicine in folk for disease prevention and treatment. In this study, 37 samples were collected, including 33 kinds of non-Camellia teas and 4 kinds of teas (Camellia). Traditional functions of non-Camellia teas were investigated. Furthermore, non-Camellia teas of original plants were characterized and identified by molecular methods. Four candidate regions (rbcL, matK, ITS2, psbA-trnH) were amplified by polymerase chain reaction. In addition, DNA barcodes were used for the first time to discriminate the commercial non-Camellia tea and their adulterants, and to evaluate their safety. This study showed that BLASTN and the relevant phylogenetic tree are efficient tools for identification of the commercial non-Camellia tea and their adulterants. However, some sequences from original plants have not been found and there is a limitation of sequence number of original plants in GenBank. Submitting more original plant sequences to the GenBank will be helpful for evaluating the safety of non-Camellia teas.