摘要
为了研究贵定云雾茶本地种和引进种次生代谢产物差异,基于超高效液相色谱-四级杆串联飞行时间质谱(ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry, UPLC-QTOF-MS)对贵定云雾茶本地种和引进种的次生代谢产物进行了定性、定量分析。结果鉴定出361种代谢物。采用主成分分析(principal component analysis, PCA)和正交偏最小二乘判别分析(orthogonal least squares discriminant analysis, OPLS-DA)筛选出14种显著差异代谢物,包括4种黄酮醇类物质、4种酚酸类物质、3种黄酮糖苷类物质、2种儿茶素和1种原花青素B1。通路富集分析显示这些差异代谢物主要分布于苯丙氨酸、酪氨酸和色氨酸代谢途径(phenylalanine,tyrosine and tryptophan biosynthesis)、黄酮和黄酮醇代谢途径(flavone and flavonol biosynthesis)以及类黄酮代谢途径中(flavonoid biosynthesis)。此外,儿茶素和原花青素B1在云雾茶本地种中含量较高,而黄酮醇和黄酮糖苷类物质在引进种中含量较高,这表明云雾茶本地种更适合绿茶的加工,而引进种更适合白茶的加工。
In order to study the secondary metabolites difference of Guiding Yunwu tea between introduced and native varieties,ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS)was used to qualitative and quantitative analyze the secondary metabolites between native and introduced varieties of Guiding Yunwu tea.A total of 361 metabolites were identified.Furthermore,14 significantly different metabolites were obtained by principal component analysis(PCA)and orthogonal least squares discrimination analysis(OPLS-DA)methods,including four flavonols,four phenolic acids,three flavonoid glycosides,two catechins and one procyanidin.Pathway enrichment analysis showed that these differential metabolites were mainly distributed in phenylalanine,tyrosine and tryptophan biosynthesis,flavone and flavonol biosynthesis,and flavonoid biosynthesis pathways.In addition,the content of catechins and procyanidin B1 was higher in the native samples,while the content of flavonols and flavone glycosides were higher in the introduced samples.The results indicated that the native variety would be more suitable for green tea processing,and the introduced variety would be more suitable for white tea processing.
作者
王春波
吕辉
韦玲冬
郭治友
WANG Chunbo;LYU Hui;WEI Lingdong;GUO Zhiyou(College of Biological Sciences and Agriculture,Qiannan Normal University for Nationalities,Duyun 558000,China)
出处
《食品工业科技》
CAS
北大核心
2021年第14期1-7,共7页
Science and Technology of Food Industry
基金
国家自然科学基金项目(31660056)
贵州省教育厅青年科技人才成长项目(黔教合KY字[2020]211)
贵州省科技计划项目(黔科合平台人[2020]QNSYXM02)。
