Ecology Suitability Study of Gentiana rhodantha in Yunnan-Guizhou Plateau / 中国药学杂志

ABSTRACT

OBJECTIVE: To predict the potential geographical distribution of Gentiana rhodantha and study the relationship between species distribution, chemical compounds content and ecological factors in Yunnan-Guizhou Plateau. METHODS: MaxEnt modeling combined with geographic information system (GIS) was used to predict the potential geographical distribution of G. rhodantha. Ultra performance liquid chromatography (UPLC)was used to establish the UPLC fingerprints of different parts of medicinal materials. Pearson correlation analysis and stepwise regression analysis were used to analyze the relationship between various chemical compounds and ecological factors. RESULTS: The AUC of the ROC curves of the training data and test data were 0.919 and 0.915, respectively, which indicated that the predictive results with the maximum model were highly precise and exact. The results of species distribution modeling showed that the main environmental factors determining the potential distribution were annual temperature range (the most suitable range 16.0-27.0℃), mean diurnal range (the most suitable range 8.5-11.6℃), average monthly precipitation of June (the most suitable range 200-400 mm), average monthly precipitation of September (the most suitable range 90-125 mm), average monthly maximum temperature of June (the most suitable range 21.0-27.0℃), temperature seasonality (the most suitable range 4 000-5 200), average monthly precipitation of October (the most suitable range 65-110℃), average monthly minimum temperature of July (the most suitable range 14.5-20.5℃), average monthly maximum temperature of January (the most suitable range 14.5-25.5℃), subsoil pH (the most suitable range pH<5), and average monthly precipitation of April (the most suitable range 14.5-25.5 mm). Correlation analysis showed that the contents of mangiferin, total compounds and their ratios of aerial part and underground part had significant relationship with temperature, precipitation and hysico-chemical properties of top soil (P<0.05 or P<0.01) and had significant negative (P<0.05) or most significant negative relationship with habitat suitability (P<0.01). The variation of temperature and precipitation of June to August and subsoil pH subsoil CEC were the key ecological factors of accumulation of the chemical compounds in G.rhodantha. CONCLUSION: The best growing areas for G. rhodantha are mainly located in Middle and West Yunnan, Southeast and South Guizhou.