文献类型：期刊文献

中文题名：基于UPLC-Q-TOF-MS技术的不同品种当归代谢组学分析

英文题名：Metabonomics Analysis on Different Varieties of Angelica sinensis Based on UPLC-Q-TOF-MS

作者：荔淑楠[1];王引权[1,2];王富胜[3];樊秦[1];雒军[1];安培坤[1];张亚丽[1];李钦[1];彭桐[1]

第一作者：荔淑楠

机构：[1]甘肃中医药大学,兰州730000;[2]甘肃省中药质量与标准研究重点实验室培育基地,兰州730000;[3]定西市农业科学研究院,甘肃定西743000

第一机构：甘肃中医药大学

年份：2020

卷号：26

期号：8

起止页码：138

中文期刊名：中国实验方剂学杂志

外文期刊名：Chinese Journal of Experimental Traditional Medical Formulae

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：国家重点研发计划项目(2017YFC1700705);甘肃省高校协同创新科技团队支持计划项目(2016C-05FF09);国家自然科学基金项目(81660625,81260616);甘肃省中药材产业体系项目。

语种：中文

中文关键词：当归;品种;超高效液相色谱-四级杆飞行时间质谱;代谢组学;绿原酸;阿魏酸;色氨酸

外文关键词：Angelica sinensis;variety;UPLC-Q-TOF-MS;metabolites;chlorogenic acid;ferulic acid;tryptophan

摘要：目的:建立当归不同品种间差异代谢物,为当归新品种育种、引种、区划栽培和生态种植提供参考依据。方法:对同一产地、同期采收的5个当归品种岷归1号(MG1),岷归2号(MG2),岷归4号(MG4),岷归5号(MG5)和岷归6号(MG6)进行非靶向代谢组学综合分析。取各品种药材50%甲醇提取物,采用超高效液相色谱-四极杆-飞行时间质谱(UPLCQ-TOF-MS)技术,结合软件Progenesis QI,通过主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)等方法找出各品种间差异代谢物;依据相对分子质量,二级碎片,KEGG数据库和HMDB数据库以及相关文献信息,对差异代谢物进行鉴定。结果:5个当归品种的代谢物存在明显差异(P<0.05),MG2,MG4,MG5和MG6中的绿原酸、阿魏酸、色氨酸、阿魏醛等含量显著低于MG1含量(P<0.05),而藁本内酯、香豆素、牛角苷、棕榈素、原儿茶醛、亚麻酸等含量显著高于MG1(P<0.05)。MG2,MG5及MG6中的代谢物相近,与MG4的代谢物差异较大,此外,还鉴定出38个显著差异代谢物,涉及7种潜在的靶向代谢通路,不同品种当归都可能通过苯丙素类生物合成、类倍半萜烯类化合物的代谢、脂质代谢、氨基酸代谢、碳水化合物代谢、核苷酸代谢、类胡萝卜素、亚麻酸、亚油酸等代谢途径调节代谢物的合成。结论:应用UPLC-Q-TOF-MS和Progenesis QI代谢组学技术从整体水平比较不同品种当归的化学成分,发现其中的差异性及其规律,为当归质量控制、引种、栽培及当归育种和生态种植提供参考依据。
Objective:To establish differential metabolites between different varieties of Angelica sinensis,and provide reference for breeding,introduction,regional cultivation and ecological cultivation of new varieties of A.sinensis.Method:Comprehensive non-target metabonomics analysis was conducted for five new varieties of A.sinensis collected at the same time from the same origin:Mingui No.1(MG1),Mingui No.2(MG2),Mingui No.4(MG4),Mingui No.5(MG5),and Mingui No.6(MG6).The 50%methanol extract of each variety was taken,and then the differential metabolites among varieties were found by using ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS),software Progenesis QI,principal component analysis(PCA),partial least squares discriminant analysis(PLS-DA),and non-targeted metabonomics analysis.Differential metabolites were identified based on precise molecular weight,secondary fragments,KEGG database,HMDE database and related literature information.Result:The results of UPLC-QTOF-MS and multivariate statistical analysis showed that there were significant differences in the metabolites of five Angelica varieties.As compared with MG1,the contents of chlorogenic acid,ferulic acid,tryptophan and ferulic aldehyde were significantly lower in MG2,MG4,MG5 and MG6,while the contents of ligustilide,coumarin,bovine keratin,palmitin,protocatechualdehyde and linolenic acid were significantly higher(P<0.05).The results of multivariate statistical analysis showed that the metabolites of MG2 and MG5 were similar with those of MG6,but were significantly different from those of MG4.In addition,38 distinct metabolites were identified,involving 7 potential targeted metabolic pathways.Different varieties of A.sinensis could regulate the synthesis of their metabolites through phenylpropanoid biosynthesis and sesquiterpene-like compounds metabolism,lipid metabolism,amino acid metabolism,carbohydrate metabolism,nucleotide metabolism,carotenoids,linolenic acid,linoleic acid and some other metabolic pathways.Conclusion:UPLC-Q-TOF-MS and Progenesis QI metabonomics techniques were used to compare the chemical constituents of different varieties of A.sinensis from the overall level.The differences and their regularities were found,which could provide reference for quality control,variety sorting,identification,breeding and ecological planting of A.sinensis.