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基于GC-MS代谢组学技术委陵菜与星毛委陵菜的初生代谢比较研究
引用本文:智慧,艾丹,吴可心,郭云,徐明远,唐中华.基于GC-MS代谢组学技术委陵菜与星毛委陵菜的初生代谢比较研究[J].植物研究,2020,40(5):718-727.
作者姓名:智慧  艾丹  吴可心  郭云  徐明远  唐中华
作者单位:1. 呼伦贝尔职业技术学院, 呼伦贝尔 021000;2. 东北林业大学化学化工与资源利用学院, 哈尔滨 150040;3. 黑龙江中医药大学, 哈尔滨 150040
基金项目:内蒙自治区高等学校科学研究项目(NJZY18353);黑龙江省中医药管理局重点项目(2018-009)
摘    要:为明确药用植物委陵菜与其同属植物星毛委陵菜在不同基原之间的代谢差异,更有效的利用药用植物资源。基于气相色谱与质谱联用技术对两药用植物间的小分子初生代谢物进行非靶向代谢组学分析,利用主成分分析和偏最小二乘法分析,寻找可区分两物种的差异代谢物以及在初生代谢途径上的差异。结果:利用GC-MS在两植物中共检测到134个色谱峰,通过与数据库比对,共鉴定出43种初生代谢产物。PCA分析结果显示代谢物在委陵菜和星毛委陵菜间的分布有较大的差异;采用OPLS-DA筛选获得导致2物种区分的差异代谢物共33种,两物种在半乳糖代谢、淀粉和蔗糖代谢、氨酰生物合成、氨基糖和核苷酸糖代谢和果糖和甘露糖代谢途径有显著的差异。委陵菜和星毛委陵菜的初生代谢方面存在较大差异,虽然两植物来源于同科同属植物,但是星毛委陵菜不适合代替委陵菜作为药材使用。

关 键 词:委陵菜  星毛委陵菜  多元统计分析  代谢组学  气相色谱—质谱联用
收稿时间:2019-12-18

Comparison on Chemical Constituents between Potentilla chinensis and P.acaulis using GC-MS by Metabolomics Approach
ZHI Hui,AI Dan,WU Ke-Xin,GUO Yun,XU Ming-Yuan,TANG Zhong-Hua.Comparison on Chemical Constituents between Potentilla chinensis and P.acaulis using GC-MS by Metabolomics Approach[J].Bulletin of Botanical Research,2020,40(5):718-727.
Authors:ZHI Hui  AI Dan  WU Ke-Xin  GUO Yun  XU Ming-Yuan  TANG Zhong-Hua
Institution:1. Hulunbeier Vocational Technical College, Hulunbuir 021000;2. College of Chemistry, Chemical Engineer and Resource Utilization, Northeast Forestry University, Harbin 150040;3. Heilongjiang University of Chinese Medicine, Harbin 150040
Abstract:The experiment was conducted to clarify the metabolic differences between Potentilla chinensis and its same genus P.acaulis in different origins, and to make more effective use of medicinal plant resources. Based on the combination of gas chromatography and mass spectrometry(GC-MS), the non-targeted metabolomics analysis of small molecular primary metabolites between two plants was performed, and principal component analysis and partial least squares analysis were used to find the differential metabolism that can distinguish the two species. And the differences in primary metabolic pathways.A total of 134 and chromatographic peaks were detected in the two plants by GC-MS. By comparison with the database, 43 primary metabolites were identified. The results of PCA analysis showed that the distribution of metabolites between P.chinensis and P.acaulis was quite different. Using OPLS-DA screening, a total of 33 different metabolites were obtained that distinguished the two samples. Starch and sucrose metabolism, aminoacyl biosynthesis, amino sugar and nucleotide sugar metabolism and fructose and mannose metabolism pathways have significant differences. There is a large difference in the primary metabolism of P.chinensis andP.acaulis. Although the two plants are derived from plants of the same family, P.acaulis is not suitable for use as a medicinal material instead of P.chinensis.
Keywords:Potentilla chinensis  Potentilla acaulis  multivariate statistical analysis  metabolomics  GC-MS  
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