该研究以一品红和俄罗斯红甜菜块根为原料，使用UPLC-MS/MS检测平台和Metware自建数据库对两种红甜菜块根中的类黄酮物质进行检测和分析其代谢物质的成分及差异。利用多元统计分析方法，根据检测到的类黄酮类代谢物的数据来筛选差异代谢物；随后再利用KEGG网站分析差异代谢物参与的合成途径。结果表明，两种甜菜块根共检测出类黄酮代谢物69个，分成黄酮、黄酮醇、查尔酮、二氢黄酮、橙酮类和其他类黄酮六种类型。差异代谢物29种，一品红中12种差异代谢物含量高于俄罗斯红，17种低于俄罗斯红。根据代谢物log2FC判定差异倍数较大的成分主要是五羟基查耳酮类、异鼠李素、二甲氧基黄酮、蒽酮、多甲氧基黄酮、槲皮素、山柰酚、香叶木素、高车前素类衍生物。被注释到KEGG 通路上的代谢物有7个：依次是3-O-甲基槲皮素、木犀草甙、3'-O-甲基木犀草素、芦丁、异槲皮苷、异牡荆素、三叶豆甙。由此表明，两种甜菜物质中存在具有显著差异的类黄酮类代谢物，建议可作为特征代谢物做进一步分析。

In this study, poinsettias and Russian red beet roots were used as the raw materials, and the flavonoids in the two kinds of red beet roots were detected and the composition and differences of their metabolites were analyzed using the UPLC-MS/MS detection platform and the self-built Metware database. Multivariate statistical analysis was used to screen the differential metabolites based on the data of the detected flavonoid metabolites. Then, the KEGG website was used to analyze the synthetic pathways involved in differential metabolites. The results showed that a total of 69 flavonoid metabolites were detected in two kinds of beet roots, which were divided into six types: flavonoids, flavonols, chalcones, dihydroflavones, auronoids and other flavonoids. There were 29 kinds of differential metabolites, with 12 kinds of differential metabolites having higher contents in poinsettia than in Russian red, and 17 kinds having lower contents in poinsettia than in Russian red. According to the metabolite, log2FC, the components with relatively large differences were mainly pentahydroxy chalcones, isorhamnetin, dimethoxy-flavone, anthrone, polymethoxy-flavone, quercetin, kaempferol, geranyl, and hyperplantin derivatives. There were seven metabolites annotated to the KEGG pathway: 3-O-methylquercetin, luteolin, 3'-o-methylluteolin, rutin, isoquercetin, isovitexin, and trilobin. These results indicated that there were significantly different flavonoid metabolites in two kinds of beet substances, which could be used as characteristic metabolites for further analysis.

财政部和农业农村部国家现代农业产业技术体系（糖科）建设项目（CARS-170503）；黑龙江省博士后基金项目（LBH-Z22245）