[Tissue culture of safflower and analysis of secondary metabolites in suspension cells].

Safflower(Carthamus tinctorius), a valuable traditional Chinese medicinal plant, has attracted much attention in recent years. This study established a stable tissue culture system of safflower and analyzed the chromatogram of its secondary metabolites, providing high-quality experimental materials for further research on natural products in safflower. The calluses were established from the safflower seeds germinated in a sterile environment, and then they were differentiated into the aseptic seedlings, or cultured to obtain suspension cells in liquid medium. The ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UPLC-Q-TOF-MS), Progenesis QI, and principal component analysis(PCA) were used to detect and analyze the secondary metabolites in the suspension cells before and after induction with different elicitors(methyl jasmonate, silver nitrate, salicylic acid and yeast extract). A total of 23 secondary metabolites including flavonoids, phenylpropanoids, alkaloids, fatty acids and aromatic glycosides were detected in safflower suspension cells. In response to the four elicitors, 11 compounds showed increased or decreased relative content. The results indicate that different elicitors have various effects on the accumulation of secondary metabolites in safflower suspension cells, and yeast extract shows more obvious positive induction. Therefore, different elicitors may play a role in the expression of related genes in the biosynthetic pathway of specific secondary metabolites. The results facilitate the discovery of targeted elicitors and the large-scale production of valuable secondary metabolites in the future.

[Discussion on research idea of quality marker of Salvia miltiorrhiza based on biosynthetic pathway of tanshinone compounds].

Based on the theory of Q-marker, the hairy root of Salvia miltiorrhiza and S. miltiorrhiza in many provinces were studied. The relative expressions of SmCPS, SmKSL and CYP76AH1 genes in hairy roots were detected by real-time fluorescence quantitative PCR and the contents of tanshinoneⅡ_A, cryptotanshinone, tanshinoneⅠ, 1,2-dihydrotanshinone, ferruginol and miltiradiene were detected by UPLC and GC-MS, respectively. Statistical analysis shows as fllows: in the hairy root of S. miltiorrhiza, the content of miltiradiene and ferruginol is positively correlated with the content of tanshinone compounds in the downstream, and the relative expression of important genes in the biosynthetic pathway of tanshinone can reflect the content of tanshinone compounds to a certain extent; in many provinces of S. miltiorrhiza, the content of ferruginol and tanshinone compounds can also be found that there is a positive correlation between the contents. Based on the biosynthetic pathway of tanshinone compounds, which is a special index component in S. miltiorrhiza, this study focused on the important relationship between the upstream gene, the middle intermediate compound and the downstream tanshinone compound content of the biosynthetic pathway, and explored the possible research ideas of improving the quality marker system of S. miltiorrhiza, and then provided the possible research ideas for understanding and studying the quality marker of traditional Chinese medicine from the biosynthetic pathway.

[Differentiation and Identification of Alicyclobacillus Strains by Fourier Transform Near-Infrared Spectroscopy].

Fourier transform near-infrared spectroscopy (FT-NIR) can reflect the overall molecular composition of microbial cells to identify different types of microorganisms. To establish an accurate, effective method about the differentiation and identification of Alicyclobacillus strains between different species, the present research performed the following studies by FT-NIR: (1) The FT-NIR spectra about seven type stains was clustered for data analysis. After preprocessing, reduction of data was performed by Principal Component Analysis (PCA) and Linear Discriminant Analysis(LDA), exploring the feasibility of differentiation and identification between different species, the result suggested that the PCA model can cluster the seven species of Alicyclobacillus strains correctly and the LDA model I can predict the unknown species with 100% accuracy. It evidenced that the method could identify different species of Alicyclobacillus strains preliminary. (2)In order to improve the robustness and practicability of the model, a total of 41 Alicyclobacillus strains including type and isolated strains were prepared for LDA model II, using the same methods as mentioned before. The result indicated that the LDA model validated by fifteen sample with 86.67% accuracy. It was more perfect and more comprehensive. As a result, the FT-NIR technology combined with chemometrics method can accurately and effectively identify Alicyclobacillus strains between different microbial species.