ABSTRACT
Paeonia lactiflora is an important medicinal resource in China. It is of great significance for the protection and cultivation of P. lactiflora resources to find the suitable habitats. The study was based on the information of 98 distribution sites and the data of 20 current environmental factors of wild P. lactiflora in China. According to the correlation and importance of environmental factors, we selected the main environmental factors affecting the potential suitable habitats. Then, BCC-CSM2-MR model was employed to predict the distribution range and center change of potential suitable habitat of wild P. lactiflora in the climate scenarios of SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 during 2021-2100. The ensemble model combined with GBM, GLM, MaxEnt, and RF showed improved prediction accuracy, with TSS=0.85 and AUC=0.95. Among the 20 environmental factors, annual mean temperature, monthly mean diurnal range of temperature, temperature seasonality, mean temperature of the warmest quarter, precipitation of the wettest month, precipitation seasonality, precipitation of the driest quarter, and elevation were the main factors that affected the suitable habitat distribution of P. lactiflora. At present, the potential suitable habitats of wild P. lactiflora is mainly distributed in Inner Mongolia, Heilongjiang, Jilin, Liaoning, Hebei, Beijing, Shaanxi, Shanxi, Shandong, Gansu, Xinjiang, Tibet, and Ningxia, and concentrated in the northeastern Inner Mongolia, central Heilongjiang, and northern Jilin. Under future climate conditions, the highly sui-table area of wild P. lactiflora will shrink, and the potential suitable habitat will mainly be lost to different degrees. However, in the SSP5-8.5 scenario, the low suitable area of wild P. lactiflora will partially increase in the highlands and mountains in western China including Xinjiang, Tibet, and Qinghai during 2061-2100. The distribution center of wild P. lactiflora migrated first to the northeast and then to the southwest. The total suitable habitats were stable and kept in the high-latitude zones. The prediction of the potential geo-graphical distribution of P. lactiflora is of great significance to the habitat protection and standardized cultivation of this plant in the future.
Subject(s)
China , Climate , Climate Change , Ecosystem , PaeoniaABSTRACT
By referring to the relevant ancient herbal literature， medical records and prescription books， the textual research of Violae Herba has been conducted to verify the name， origin， producing area， quality evaluation and processing method changes. The results showed that the name of Zihua Diding originated from its flower color and plant morphological characteristics. The primitive plant of Violae Herba is Viola genus of Violaceae， V. yedoensis， as stipulated in the 2020 edition of Chinese Pharmacopoeia， has been the mainstream in past dynasties of China. Violae Herba is mainly wild， and it is widely distributed throughout the country. Since modern times， the quality of Violae Herba is better with integrity， green color and yellow root. There are few records on the harvesting and processing methods of Violae Herba in ancient times， most of which are directly used after drying. It is suggested that the collection and processing methods of Violae Herba in the famous classical formulas can be implemented in accordance with the provisions of the 2020 edition of Chinese Pharmacopoeia.
ABSTRACT
<p><b>OBJECTIVE</b>To investigate the expression of Survivin mRNA in lung cancer tissue microarray (TMA) by fluorescence in situ hybridization (FISH) method, and determine the role and significance of it in lung cancer genesis and progress.</p><p><b>METHODS</b>The expression of Survivin mRNA was detected by FISH method and TMA technology. Fifty-four cases of lung cancer and 10 cases of normal lung tissue were examined.</p><p><b>RESULTS</b>Survivin mRNA was expressed in 66.7% (36/54) of lung cancer; the positive ratio of lung cancer was significantly higher than that of normal lung tissue (0/10; chi2 = 15.238, P < 0.05). The positive ratio of Survivin mRNA was significantly higher in poor differentiated cancer (20/24, 83.3%) than moderate and well differentiated cancer (16/30, 53.3%; chi2 = 5.40, P < 0.05). The positive ratio of Survivin mRNA was significantly higher in group with lymph node metastasis (27/32, 84.4%) than without lymph node metastasis (9/22, 40.9%; chi2 = 11.084, P < 0.05). The positive ratio of Survivin mRNA was significantly higher in stage III-IV(12/13, 92.3%) than stage I - II (24/41, 58.5%; chi2 = 5.066, P < 0.05).</p><p><b>CONCLUSION</b>Survivin mRNA highly expresses in lung cancer, which is related to the progress and malignant behavior. Survivin may play a promoting role in lung cancer genesis and progress and provide a basis for estimating prognosis and treatment.</p>