Use of the Metabolomics Approach to Characterize Chinese Medicinal Material Huangqi

作     者：Li-Xin Duan Tian-Lu Chen Ming Li Min Chen Ye-Qing Zhou Guang-Hong Cui Ai-Hua Zhao Wei Jia Lu-Qi Huang Xiaoquan Qi 

作者机构：The Key Laboratory of Plant Molecular PhysiologyInstitute of BotanyChinese Academy of Sciences20 Nanxincun Xiangshan RoadBeijing 100093China Shanghai Center for Systems Biomedicine(Ministry of Education Key Laboratory of Systems Biomedicine)Shanghai Jiao Tong University800 Dongchuan RoadShanghai 200240China Institute of Chinese Materia MedicaChinese Academy of Chinese Medical Sciences16 Nanxiao RoadBeijing 100700China School of PharmacyShanghai Jiao Tong University800 Dongchuan RoadShanghai 200240China 

出 版 物：《Molecular Plant》 (分子植物（英文版）)

年 卷 期：2012年第5卷第2期

页      面：376-386页

核心收录：

学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 08[工学] 09[农学] 0902[农学-园艺学] 090201[农学-果树学] 083203[工学-农产品加工及贮藏工程] 

基　　金：National Key Technology R&D Program in the 11th Five Years Plan of China [2006BA108B05-03] National Basic Research Program of China [2007CB108800] 

主　　题：Astragalus membranaceus metabolic fingerprinting amplified fragment length polymorphisms gas chromatography time-of-flight mass spectrometry. 

摘      要：Integration of the genetic and metabolic fingerprinting can provide a new approach to differentiate similar Traditional Chinese Medical （TCM） materials. Two leguminous plants, Mojia Huangqi and Menggu Huangqi, are important medical herbs and share great similarities in morphology, chemical constituent, and genomic DNA sequence. The taxonomy of Mojia Huangqi and Menggu Huangqi has been debated for more than 50 years and discrimination of TCM materials directly affects the pharmacological and clinical effects. AFLP based genetic fingerprinting and GC-TOF/MS-based meta- bolic fingerprinting were used to successfully discriminate the two species. The results of AFLP supported the opinion that Menggu Huangqi was a variant of Mojia Huangqi. The metabolic fingerprinting showed growth locations have greater impacts on the metabolite composition and quantity than the genotypes （cultivated versus wild） in Menggu Huangqi. The difference of some soluble sugars, fatty acids, proline, and polyamine reflected plant adaptation to different growth environments. Using multivariate and univariate statistical analysis, three AFLP markers and eight metabolites were identified as candidate DNA and metabolic markers to distinguish the two herb materials. The correlation network between AFLP markers and metabolites revealed a complex correlation network, which indicated the special metabolic pathways and the regulation networks of Huangqi.