title: Metabolic profiling of Chinese tobacco leaf of different geographical origins by GC-MS.
abstract: Tobacco leaf obtained from different geographical areas in China was profiled using gas chromatography-mass spectrometry (GC-MS) coupled with multivariate data analyses. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) showed that the tobacco metabolome was clearly dependent on geographical origins; climatic conditions, such as temperature and precipitation, imposed a greater impact on metabolite levels than the cultivars. By orthogonal partial least-squares-discrimination analysis (OPLS-DA), 20 metabolites that contributed to the discrimination were screened, including primary metabolites (sucrose, D-fructose, D-mannose, D-glucose, inositol, maleic acid, citric acid, malic acid, L-threonic acid, L-proline, L-phenylalanine), secondary metabolites (chlorogenic acid, α- and β-4,8,13-duvatriene-1,3-diol, nicotine, quinic acid), and four unknown metabolites. The results suggest that metabolic profiling using GC-MS combined with multivariate analysis can be used to discriminate tobacco leaf of different geographical origins and to provide potential indicators of tobacco origins.
authors: Zhengzhou Tobacco Research Institute of CNTC , Zhengzhou, People's Republic of China.
authors: Li
authors: L
authors: Zhang
authors: Xiaoyu
authors: X
authors: Wang
authors: Jizhao
authors: J
authors: Guo
authors: Qiaoling
authors: Q
authors: Xia
authors: Ge
authors: G
authors: Zhao
authors: Huina
authors: H
authors: Zhou
authors: Fuwei
authors: F
authors: Xie
mesh_terms: D002681:China; D016002:Discriminant Analysis; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D005843:Geography; D055442:Metabolome; D025341:Principal Component Analysis; D014026:Nicotiana / Q000737:chemistry* / Q000378:metabolism