[Comparison of planting modes of Dendrobium huoshanense and analysis of advantages of simulated cultivation].

Dendrobium huoshanense is a precious medicinal plant belonging to Dendrobium of Orchidaceae. It is a special medicinal material and extremely scarce in Huoshan county, Anhui province. At present, D. huoshanense has been greatly protected, which also makes it possible to industrialize relying on tissue culture and artificial cultivation technology. Three main planting methods were utilized for cultivating D. huoshanense including facility cultivation, under forest cultivation and simulative habitat cultivation. Firstly, the three cultivation modes and technical characteristics of D. huoshanense were compared and analyzed, and it was found that the ecological environment of D. huoshanense cultivated in the simulated environment was closer to that of wild D. huoshanense. Secondly, based on comparing the characters and quality of three cultivation modes, the results showed that the shape of D. huoshanense cultivated in simulated environment was more similar to that of "grasshopper thigh" recorded in Bencao Jing Jizhu, and its quality was better than that of facilities and under forest cultivation. The comprehensive benefit comparison of three modes showed that the simulated cultivation had high income, the lowest input-output ratio and significant economic benefit. The quality of cultivated D. huoshanense was further evaluated from four aspects of "excellent environment" "excellent shape" "high quality" "excellent effect", which summarized the comprehensive advantages of simulative habitat cultivation of D. huoshanense as follows: the original habitat and site environment of simulated wild D. huoshanense, the closer shape to the wild, the more content of main medicinal components, and higher economic benefit and better efficacy. The quality of D. huoshanense was improved by the use of simulative habitat cultivation, which has practical significance to guide its large-scale cultivation.

[Diversity and difference of endophytes in Dendrobium huoshanense with different growth years].

In order to explore endophytes diversity and difference in Dendrobium huoshanense,in this paper,the metagenomics method was used to analyze the endophytic bacteria and fungi community of 5 groups include 30 samples in different growth years. The results indicate that 3 540 bacterial OTUs were identified from D. huoshanense,and there are 138 OTUs in 5 groups simultaneously;2 168 fungal OTUs were identified,and 143 OTUs exist in 5 groups simultaneously. The dominate endophytic bacteria community are Sphingomonas sp.,Acinetobacter sp.,Burkholderia sp.,Methylobacterium sp.,Enterococcus sp.,Bacillus sp.,the difference endophytic bacteria community are Oceanobacillusd sp.,Actinomycetospora sp.,Paenibacillus sp.. The dominate endophytic fungi community are Zasmidium sp.,Zymoseptoria sp.,Alternaria sp.,Cladosporium sp.,Fusarium sp.,the difference endophytic fungi community are Cyphellophore sp.,Fusarium sp.. The results of clustering revealed that both the endophytic bacteria and the endophytic fungi,ⅢY2 and ⅢY3 are complete clustered,and ⅡY1 and ⅢY1 are also cluster completely. These enriched the species and resources of endophytic bacteria and fungi in D. huoshanense,and provided a theoretical reference for the reasonable harvest of D. huoshanense.

Rapid quantification of polysaccharide and the main onosaccharides in Dendrobium huoshanense by near-infrared attenuated total reflectance spectroscopy.

A rapid, green, low cost and nondestructive attenuated total reflection near infrared (ATR NIR) method was developed to quantify the total polysaccharide and the main monosaccharides mannose and glucose in Dendrobium huoshanense. Total 100 D. huoshanense samples from different places were analyzed using ATR NIR method. Potential outlying samples were initially removed from the collected NIR data using the PCA-Mahalanobis distance method. Spectral data preprocessing was studied in the construction of a partial least squares (PLS) model and six different signal pretreatment methods, including multiplicative scattering correction (MSC), standard normal transformation (SNV), first and second derivatives, the combination of MSC with the first derivative, and the combination of SNV with the first derivative, were compared. The results showed that the best signal pretreatment method was the spectral data pretreated by SNV combined with the first derivative due to it showed the lowest root-mean-square error of cross-validation (RMSECV), highest R2 for both the polysaccharide and its main monosaccharides. In order to improve the performance of the model, the pretreated full spectrum was calculated by different wavelength selection method. The results showed that the optional wavelength selection model was the one simultaneously selecting the NIR wavelength ranges 7500-5750 cm-1, 5250-4700 cm-1, 4450-4300 cm-1 and 4200-4100 cm-1 because of the lowest RMSECV and the highest R2 among the ten wavelength selection models. The external validation and the complete external validation confirmed the robustness and reliability of the developed NIR model. The contents of the total polysaccharide and the main monosaccharides are the essential quality assessment criterion for plant medicines while their traditional quantification methods involved sample destruction, tedious sample processing and non-environmentally friendly pretreatment, therefore, our study might provide an efficient technique tool for the rapid, green and nondestructive quantification of the total polysaccharide and the main monosaccharides for D. huoshanense and other rich-in-polysaccharide plant medicines.

Specific PCR Identification between Peucedanum praeruptorum and Angelica decursiva and Identification between Them and Adulterant Using DNA Barcode.

BACKGROUND: The traditional Chinese medicine (TCM) Qianhu and Zihuaqianhu are the dried roots of Peucedanum praeruptorum and Angelica decursiva, respectively. Since the plant sources of Qianhu and Zihuaqianhu are more complex, the chemical compositions of P. praeruptorum and A. decursiva are significantly different, and many adulterants exist because of the differences in traditional understanding and medication habits. Therefore, the rapid and accurate identification methods are required. OBJECTIVE: The aim was to study the feasibility of using DNA barcoding to distinguish between Traditional Chinese medicine Qianhu (Peucedanum praeruptorum), Zihuaqianhu (Angelica decursiva), and common adulterants, based on internal transcribed spacer (ITS) sequences, as well as specific PCR identification between P. praeruptorum and A. decursiva. MATERIALS AND METHODS: The ITS sequences of P. praeruptorum, A. decursiva, and adulterant were studied, and a phylogenetic tree was constructed. Based on the ITS barcode, the specific PCR primer pairs QH-CP19s/QH-CP19a and ZHQH-CP3s/ZHQH-CP3a were designed for P. praeruptorum and A. decursiva, respectively. The amplification conditions were optimized, and specific PCR products were obtained. RESULTS: The results showed that the phylogenetic trees constructed using the BI and MP methods were consistent, and P. praeruptorum and A. decursiva sequence haplotypes formed their own monophyly. The experimental results showed that in PCR products, the target bands appeared in the genuine drug and not in the adulterant, which suggests the high specificity of the two primer pairs. CONCLUSION: The ITS sequence was ideal DNA barcode to identify P. praeruptorum, A. decursiva, and adulterant. The specific PCR is a quick and effective method to distinguish between P. praeruptorum and A. decursiva. SUMMARY: Peucedanum praeruptorum and Angelica decursiva sequence haplotypes formed their own monophyly.The ITS sequence was ideal DNA barcode to identify P. praeruptorum, A. decursiva, and adulterant.Specific PCR is a quick and effective method to distinguish between P. praeruptorum and A. decursiva. Abbreviations used: TCM: The traditional Chinese medicine, P.: Peucedanum, A.: Angelica, ITS: The internal transcribed spacer, PCR: Polymerase chain reaction, NCBI: National Center for Biotechnology Information, NI: Number of individuals, HN: Haplotype number; GAN: Gen Bank accession numbers, L.: Ligusticum, O.: Ostericum, A.: Angelica, P.: Pimpinella, BI: Bayesian inference, MP: Maximum parsimony, AIC: Akaike Information Criterion, MCMC: Markov Chains Monte Carlo, TBR: Tree bisection-reconnection, LPP: Length of PCR product, PRP: PCR reaction procedure, SNP: Single nucleotide polymorphisms, PP: Posterior probability, BS: Bootstrap.Qun Zhao.