Use of the Metabolomics Approach to Characterize Chinese Medicinal Material Huangqi

被引:88
作者
Duan, Li-Xin [2 ]
Chen, Tian-Lu [3 ]
Li, Ming [2 ]
Chen, Min [1 ]
Zhou, Ye-Qing [2 ]
Cui, Guang-Hong [1 ]
Zhao, Ai-Hua
Jia, Wei [3 ]
Huang, Lu-Qi [1 ]
Qi, Xiaoquan [2 ]
机构
[1] Chinese Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing 100700, Peoples R China
[2] Chinese Acad Sci, Key Lab Plant Mol Physiol, Inst Bot, Beijing 100093, Peoples R China
[3] Shanghai Jiao Tong Univ, Shanghai Ctr Syst Biomed, Minist Educ, Key Lab Syst Biomed, Shanghai 200240, Peoples R China
关键词
Astragalus membranaceus; metabolic fingerprinting; amplified fragment length polymorphisms; gas chromatography time-of-flight mass spectrometry; ASTRAGALUS-MEMBRANACEUS; PARTIAL RESISTANCE; PUCCINIA-HORDEI; IDENTIFYING DIFFERENCES; GENETIC DIVERSITY; AFLP MARKERS; SAMPLES; QTLS; IDENTIFICATION; POLYMORPHISM;
D O I
10.1093/mp/ssr093
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
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 metabolic 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.
引用
收藏
页码:376 / 386
页数:11
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