Investigation of chemical diversity in different parts and origins of ethnomedicine Gentiana rigescens Franch using targeted metabolite profiling and multivariate statistical analysis

文献类型: 外文期刊

第一作者: Pan, Yu

作者: Pan, Yu;Zhang, Ji;Zhao, Yan-Li;Zuo, Zhi-Tian;Wang, Yuan-Zhong;Li, Wan-Yi;Pan, Yu;Shen, Tao

作者机构:

关键词: chemical diversity;G. rigescens;plant part;geographical origin;LC-MS/MS

期刊名称:BIOMEDICAL CHROMATOGRAPHY ( 影响因子:1.902; 五年影响因子:1.809 )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: Gentiana rigescens, an ethnomedicine, is widely cultivated in Yunnan province of China. Although a wide range of metabolites including iridoid glycosides, flavonoids and triterpenoids have been reported in this ethnomedicine, the data on accumulation and distribution of metabolites in certain parts are limited. In this study, targeted metabolic fingerprinting of iridoid glycosides based on liquid chromatography-ultraviolet detection-tandem mass spectrometry (LC-UV-MS/MS) was developed to investigate the metabolic similarities and differences in different parts and origins. Thirty-one compounds, including iridoid glycosides and flavonoids, were detected from targeted metabolite profiling and plausibly assigned to the different parts of G. rigescens. Multivariate statistical analysis was designed to reveal close chemical similarities between all the selected samples and to identify key metabolites characteristic of the standard. The results suggested that accumulation and distribution of metabolites in aerial and underground parts were different. Moreover, root samples tended to be grouped on the basis of the geographical closeness of region. Five metabolites can be considered as potential markers for the classification of underground parts from different regions. These results provided chemical information on the potential pharmaceutical value for further research, making G. rigescens ideal for the rational usage of different parts and exploitation of the source. Copyright (c) 2015 John Wiley & Sons, Ltd.

分类号: O6

  • 相关文献

[1]Secondary Metabolites from the Marine Algal-Derived Endophytic Fungi: Chemical Diversity and Biological Activity. Zhang, Peng,Li, Xin,Wang, Bin-Gui,Zhang, Peng.

[2]The introduction of the exotic Q biotype of Bemisia tabaci from the Mediterranean region into China on ornamental crops. Chu, D,Zhang, YJ,Brown, JK,Cong, B,Xu, BY,Wu, QJ,Zhu, GR. 2006

[3]The effectiveness of multi-element fingerprints for identifying the geographical origin of wheat. Liu, Hongyan,Wei, Yimin,Zhang, Yingquan,Wei, Shuai,Zhang, Senshen,Guo, Boli.

[4]Exploring Geographical Differentiation of the Hoelen Medicinal Mushroom, Wolfiporia extensa (Agaricomycetes), Using Fourier-Transform Infrared Spectroscopy Combined with Multivariate Analysis. Li, Yan,Zhang, Ji,Zhao, Yanli,Wang, Yuanzhong,Jin, Hang,Li, Yan,Liu, Honggao.

[5]Geographical Influences on Content of 10-Hydroxy-trans-2-Decenoic Acid in Royal Jelly in China. Wei, Wen-Ting,Zheng, Huo-Qing,Hu, Fu-Liang,Hu, Yuan-Qiang,Cao, Lian-Fei,Hepburn, H. Randall. 2013

[6]delta H-2 of wheat and soil water in different growth stages and their application potentialities as fingerprints of geographical origin. Liu, Hongyan,Wei, Yimin,Wei, Shuai,Jiang, Tao,Zhang, Senshen,Guo, Boli.

[7]Effects of Wheat Origin, Genotype, and Their Interaction on Multielement Fingerprints for Geographical Traceability. Zhao, Haiyan,Guo, Boli,Wei, Yimin,Zhang, Bo.

[8]The Feasibility and Stability of Distinguishing the Kiwi Fruit Geographical Origin Based on Electronic Nose Analysis. Ma, Yiyan,Guo, Boli,Wei, Yimin,Wei, Shuai,Zhao, Haiyan.

[9]Multi-element analysis for determining the geographical origin of mutton from different regions of China. Sun, Shumin,Guo, Boli,Wei, Yimin,Sun, Shumin,Fan, Mingtao.

[10]The determination and application of Sr-87/Sr-86 ratio in verifying geographical origin of wheat. Liu, H.,Wei, Y.,Wei, S.,Jiang, T.,Zhang, Y.,Guo, B.,Lu, H.,Ban, J..

[11]Determining the Geographic Origin of Wheat Using Multielement Analysis and Multivariate Statistics. Zhao, Haiyan,Guo, Boli,Wei, Yimin,Zhang, Bo,Sun, Shumin,Zhang, Lei,Yan, Junhui.

[12]Classification of geographical origins and prediction of delta C-13 and delta N-15 values of lamb meat by near infrared reflectance spectroscopy. Sun, Shumin,Guo, Boli,Wei, Yimin,Sun, Shumin,Fan, Mingtao. 2012

[13]Variation of the light stable isotopes in the superior and inferior grains of rice (Oryza sativa L.) with different geographical origins. Chen, Tianjin,Zhao, Yan,Yang, Shuming,Zhang, Guoyou,Zhang, Weixing,Ye, Zhihua,Chen, Tianjin,Zhao, Yan,Yang, Shuming,Zhang, Guoyou. 2016

[14]Determination of Geographical Origin of Beef Based on FTIR Spectroscopy Analysis. Li Yong,Wei Yi-min,Pan Jia-rong,Guo Bo-li. 2009

[15]Application of Near Infrared Spectral Fingerprint Technique in Lamb Meat Origin Traceability. Sun Shu-min,Guo Bo-li,Wei Yi-min,Sun Shu-min,Fan Ming-tao. 2011

[16]Geographical classification of apple based on hyperspectral imaging. Guo, Zhiming,Huang, Wenqian,Chen, Liping,Zhao, Chunjiang. 2013

[17]Near infrared reflectance spectroscopy for determination of the geographical origin of wheat. Zhao, Haiyan,Guo, Boli,Wei, Yimin,Zhang, Bo.

[18]Effects of region, genotype, harvest year and their interactions on delta C-13, delta N-15 and delta D in wheat kernels. Liu, Hongyan,Guo, Boli,Wei, Yimin,Wei, Shuai,Ma, Yiyan,Zhang, Wan.

[19]Characteristic fingerprinting based on macamides for discrimination of maca (Lepidium meyenii) by LC/MS/MS and multivariate statistical analysis. Pan, Yu,Zhang, Ji,Li, Hong,Wang, Yuan-Zhong,Li, Wan-Yi,Pan, Yu,Zhang, Ji,Li, Hong,Wang, Yuan-Zhong,Li, Wan-Yi.

[20]Determining the geographical origin of Chinese green tea by linear discriminant analysis of trace metals and rare earth elements: Taking Dongting Biluochun as an example. Ma, Guicen,Zhang, Yingbin,Wang, Guoqing,Chen, Liyan,Zhang, Minglu,Liu, Ting,Liu, Xin,Lu, Chengyin,Ma, Guicen,Zhang, Yingbin,Zhang, Jianyang,Wang, Guoqing,Chen, Liyan,Zhang, Minglu,Liu, Ting,Liu, Xin,Lu, Chengyin.

作者其他论文 更多>>