文献类型： 外文期刊
作者： Abozeid, Ann 1 ; Liu, Jia 1 ; Ma, Yanming 3 ; Liu, Yang 1 ; Guo, Xiaorui 1 ; Tang, Zhonghua 1 ;
作者机构： 1.Northeast Forestry Univ, Key Lab Plant Ecol, Harbin, Heilongjiang, Peoples R China
2.Menoufia Univ, Dept Bot, Fac Sci, Shibin Al Kawm, Egypt
3.Xinjiang Acad Agr Sci, Crop Genet Resources Inst, Urumqi, Peoples R China
关键词： Metabolite profiling; Vicia; GC-MS; principal component analysis; hierarchical clustering analysis
期刊名称：NATURAL PRODUCT RESEARCH （ 影响因子：2.861； 五年影响因子：2.572 ）
ISSN： 1478-6419
年卷期： 2018 年 32 卷 15 期
页码：
收录情况： SCI
摘要： In this study, we examined Vicia seeds using gas chromatography-mass spectrometry (GC-MS). The metabolic differences of seeds of twelve Vicia species were assessed. 184 metabolites were identified. Vicia species were classified via multivariate data analyses into four clusters. V. unijuga was most enriched in fatty acids and anthraquinones contents while highest levels of amino acids, alcohols and phenolic were in V. costata. Clustering analysis of biochemical profiles matched with the pervious phenotypic observation with all examined species from section Cracca grouped together under one sub-cluster, except for V. costata.
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