摘要: |
多星韭为贵州省赫章县喀斯特地貌区重要的野生植物资源之一,具有较高的开发利用价值。为分析野生多星韭(Allium wallichii )籽与栽培韭菜(A. tuberosum)籽代谢产物差异及其通路,该研究利用UPLC-MS/MS物质分离鉴定技术,对2种韭籽化学成分进行广泛靶向代谢组学分析。结果表明:(1)共检测到782种代谢产物。(2)主成分分析(PCA)显示样本间存在差异,正交偏最小二乘判别分析(OPLS-DA)共筛选出12类显著变化(P<0.05,VIP≥1)的差异代谢物,涉及492种,其中上调和下调幅度在前20的代谢物包括黄酮、甾体皂苷、黄酮醇、酚酸类、异黄酮、游离脂肪酸、三萜皂苷、生物碱、吲哚类生物碱、氨基酸及其衍生物等。(3)KEGG注释到84条差异代谢通路,其中差异代谢物显著富集(P<0.01)通路4条,此外还构建了未注释到的显著差异代谢物甾体皂苷的生物合成通路。该研究结果为韭籽有效成分代谢途径解析及药理活性物质研究提供了参考,也为赫章县野生多星韭的开发保护与多元化利用提供了新思路。 |
关键词: 多星韭, 代谢组, UPLC-MS/MS, 代谢通路, 甾体皂苷 |
DOI:10.11931/guihaia.gxzw202104053 |
分类号:Q945.1 |
文章编号:1000-3142(2022)12-1995-12 |
Fund project:国家自然科学基金(31960415); 中国民主同盟帮扶贵州省毕节市赫章县韭菜坪景区品质提升项目(20183952c01); 贵州省高等学校教学内容和课程体系改革项目(2019202)[Supported by National Natural Science Foundation of China(31960415); China Democratic League Assisted the Quality Improvement Project of Jiucaiping Scenic Area, Hezhang County, Bijie City, Guizhou Province(20183952c01); Guizhou Province Higher Education Teaching Content and Curriculum System Reform Project(2019202)]。 |
|
UPLC-MS/MS-based metabol characterization and contrastive analysis between Allium wallichii and A. tuberosum seeds |
HUO Dongao1, TIAN Ruifeng2, REN Yongquan3, DUAN Xingyu2,
HONG Dengfeng2, WANG Bo2*
|
1. Qiushi College of Guizhou Normal University, Guiyang 550000, China;2. College of Plant Science &3.Technology, Huazhong Agricultural
University, Wuhan 430070, China;4.3. College of Eco-Environmental Engineering, Guizhou Minzu University, Guiyang 550000, China
|
Abstract: |
Allium wallichii is one of the important wild plant resources in the karst geomorphic area of Hezhang County, Guizhou Province, which has high development and utilization values. In order to analyze the differences of metabolites and their pathways between Allium wallichii seeds and A.tuberosum seeds, we used UPLC-MS/MS material separation and identification techniques to broadly target the chemical components of the two kinds of seeds for the metabolomic analysis. The results were as follows:(1)A total of 782 kinds of metabolites were detected.(2)Principal component analysis(PCA)showed that there were differences between samples. Orthogonal partial least squares discriminant analysis(OPLS-DA)screened out 12 types of differential metabolites with significant changes(P<0.05, VIP≥1), involving 492 kinds, among them, the top 20 metabolites with up-and down-requlation included flavonoids, steroidal saponins, flavonols, phenolic acids, isoflavones, free fatty acids, triterpenoid saponins, alkaloids, indole alkaloids, amino acids and their derivatives and soon.(3)KEGG annotated 84 differential metabolic pathways, of which four pathways were significantly enriched with differential metabolites(P<0.01). In addition, the biosynthetic pathway of steroidal saponins, which were not annotated significantly differential metabolites, was constructed. This research result provides a reference for the analysis of the effective components of the two kinds of seeds and the study of pharmacologically active substances, and also provides new ideas for the development, protection and diversified utilization of wild A. wallichii in Hezhang County. |
Key words: Allium wallichii, metabolome, UPLC-MS/MS, metabolic pathway, steroidal saponins |