Objective: Analyze the ecological adaptable regions for the resource reservation and the expanding cultiva-tion of Quisqualis indica L. Methods: The Traditional Chinese Medicine Geographic Information System (TCMGIS) was used to analyze the ecological adaptable region. Results: The 17 provinces (city, municipalities) were the ecolog-ical adaptable region for Q. indica L. The 100% ecology similarity regions are mainly in 16 provinces (city, munici-palities), including Guangxi, Guangdong, Hunan, Fujian etc., which area accounts for 1 012 895.98 km2. Among these, the area in Guangxi province is the largest (195 313.64 km2), the second is Guangdong (150 276.36 km2), the following order is Hunan(128 925.29 km2), Fujian (101 471.16 km2) and Y unnan (100 660.83 km2). The 95%~100%ecology similarity regions is located in 16 provinces (city, municipalities), including Y unnan, Sichuan, Guizhou, Hubei province etc., which area accounts for 362 366.25 km2. The largest area is in Y unnan province (92 399.04 km2), followed by Sichuan(76 122.32 km2), Guizhou (43 902.38 km2), Hubei (31 760.32 km2) and Jiangxi (29 770.09 km2). Conclusion: The results are consistent with the survey results and the previous reports. To promote the develop-ment of Q. indica L. cultivation, the planting scientifically and quality evalution should be further conducted on the basis of the results by system analysis.

This study aimed to design a pair of primers for amplifying internal transcribed spacer 2 region which was used to identify Gastrodia elata through optimizing of DNA extraction and PCR amplification process. Two sequences are used for research object by amplification of universal primers. Design three pairs of specific primers by Primer Premier 5.0 and select the highest specificity through the study of 22 samples. The results showed that identification efficiency of the primer named TM2F-2R is as high as 90.9% when Annealing Temperature is equal to 54 degrees Celsius. Therefore, TM2F-2R can be used as primers ITS2 sequences of G. elata, this article provides a set of accu-rate and stable identification methods for G. elata in the molecular identification.

Objective: Using the COI Barcode to establish the standard method to identify the traditional Chinese medicine of deer products. Methods: In this study, DNA extraction, PCR amplification, and sequencing of experimen-tal samples (deer antler, penis and testis, tendon, tail, bone, foetus) were successful. COI sequence database were constructed and commercial crude drugs of deer were investigated and analyzed. Results: By using universal COI primer,PCR amplification is preferably. All the species could be identified based on COI sequences database of tra-ditional Chinese medicine of deer which contained 101 samples of 8 species. We have collected 40 commercial crude drugs in which 18 samples were identified as species described in Chinese pharmacopoeia. Conclusion: DNA barcode technology based on COI sequence could be a standard approach to identify traditional Chinese medicine of deer products, and provide the basis for the identification of commercial deer medicine.