茶树不育花代谢组分析及不育相关靶物质鉴定  

Metabolomic analysis and identification of sterile related target metabolites in sterile flowers of tea plants

作　　者：刘玉飞 庞丹丹 邓少春[1] 陈春林[1] 田易萍[1] 蒋会兵[1] 许燕[1] 陈林波[1] LIU Yu-fei;PANG Dan-dan;DENG Shao-chun;CHEN Chun-lin;TIAN Yi-ping;JIANG Hui-bing;XU Yan;CHEN Lin-bo(Tea Research Institute,Yunnan Academy of Agricultural Sciences/Yunnan Provincial Key Laboratory for Tea Science/Yunnan Technology Engineering Research Center of Tea Germplasm Innovation and Supporting Cultivation,Menghai,Yunnan 666201,China)

机构地区：[1]云南省农业科学院茶叶研究所/云南省茶学重点实验室/云南省茶树种质资源创新与配套栽培技术工程研究中心,云南勐海666201

出　　处：《西南农业学报》2024年第10期2147-2156,共10页Southwest China Journal of Agricultural Sciences

基　　金：国家自然科学基金项目(32060699、U20A2045);云南省科技厅基础研究计划项目(202201AT070060);云南省农业基础研究联合专项(202101BD070001-035);安徽农业大学茶树生物学与资源利用国家重点实验室开放基金项目(SKLTOF20210124)。

摘　　要：[目的]揭示不育花与可育花的代谢特征,为研究不育花形成机制提供靶向代谢物,从而为探究茶树不育花形成机制提供相关依据。[方法]利用LC-QTOF平台对完全不育花(‘云茶异蕊’,ZDH)以及其可育父母本(‘福鼎大白茶’和‘佛香2号’,FDDB和FX)进行广靶代谢物检测,利用不同的生物信息学软件和网站对代谢物进行主成分分析、正交偏最小二乘判别分析、聚类分析和KEGG通路分析,并分析ZDH、FDDB和FX之间的差异代谢物。[结果]对9个样本(每份材料包含3个生物学重复)进行代谢组定性和定量分析,共鉴定到963种代谢物,通过差异代谢物分析,在FX-vs-FDDB、FX-vs-ZDH、FDDB-vs-ZDH 3个组合中共鉴定到544个差异代谢物(不同差异组合之间重复的代谢物仅计算1次),不同组合差异代谢物的数量分别为373、410和224,说明ZDH与父母本之间的代谢物存在较大差异,并明显高于父母本之间的差异代谢物数目。在544个差异代谢物中,有222个成分属于ZDH与FX、FDDB的共有差异物质,但FX与FDDB之间没有差异。筛选获得的222个重要差异代谢物,有近1/3(69/222)属于类黄酮(山奈酚相关的糖苷、槲皮素及其多种糖苷、芹菜素相关的糖苷等)、糖类(水苏糖、葡萄糖和果糖等)以及激素相关的物质(甲氧基吲哚乙酸、5′-葡糖基氧基茉莉酸和水杨酸-2-O-葡萄糖苷等),这些代谢物差异可能参与ZDH不育花的形成。[结论]不育花与可育花代谢成分存在明显差异,类黄酮、糖类以及激素相关的物质,尤其是山奈酚衍生物、生长素、茉莉酸类物质可能参与茶树花不育表型的形成。【Objective】The present paper aimed to reveal the metabolic characteristics of sterile and fertile flowers,providing targeted metabolites for studying the formation mechanism of sterile flowers,and thus providing relevant basis for exploring the formation mechanism of sterile flowers in tea plants.【Method】The study used the LC-QTOF platform to conduct wide-targeted metabolome detection on completely sterile flower tea plant(‘Yuncha Yirui',ZDH)and its fertile parents(‘Fuding Dabaicha'and‘Foxiang 2',FDDB and FX).Different bioinformatics software and websites were used to perform principal component analysis,orthogonal partial least squares discriminant analysis,cluster analysis,and KEGG pathway analysis on the metabolites,and to analyze the differential metabolites between ZDH,FDDB and FX.【Result】Qualitative and quantitative metabolomic analyses of 9 samples(each experimental material contains 3 biological replicates)identified a total of 963 metabolites.By differential metabolite analysis,a total of 544 differential metabolites(metabolites duplicated between different differential combinations were counted only once)were identified in the three combinations of FX-vs-FDDB,FX-vs-ZDH,and FDDB-vs-ZDH,and the numbers of differential metabolites in different combinations were 373,410 and 224,respectively.This indicated that the metabolites differed significantly between ZDH and the parents,and the number of metabolites that differed between ZDH and the parents was significantly higher than the number of metabolites that differed between the parents.Among the 544 differential metabolites,222 components belonged to the differential substances shared by ZDH with FX and FDDB,but there was no difference between FX and FDDB.Nearly one-third(69/222)of the 222 important differential metabolites belonged to flavonoids(kaempferol-associated glycosides,quercetin and many of its glycosides,apigenin-associated glycosides,etc.),saccharides(stachyose,glucose,and fructose,etc.),and hormone-associated substances(methoxy

关 键 词：不育花 代谢组 类黄酮 激素 茶树 

分 类 号：S571.1[农业科学—茶叶生产加工]