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中国精品科技期刊2020
刘浩然,刘赫宣,任达华,等. 基于广靶代谢组学的不同品种软枣猕猴桃黄酮类化合物的比较分析J. 食品工业科技,2026,47(14):1−14. doi: 10.13386/j.issn1002-0306.2025060136.
引用本文: 刘浩然,刘赫宣,任达华,等. 基于广靶代谢组学的不同品种软枣猕猴桃黄酮类化合物的比较分析J. 食品工业科技,2026,47(14):1−14. doi: 10.13386/j.issn1002-0306.2025060136.
LIU Haoran, LIU Hexuan, REN Dahua, et al. Comparative Analysis of Flavonoids in Different Varieties of Actinidia arguta Based on Widely Targeted MetabolomicsJ. Science and Technology of Food Industry, 2026, 47(14): 1−14. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025060136.
Citation: LIU Haoran, LIU Hexuan, REN Dahua, et al. Comparative Analysis of Flavonoids in Different Varieties of Actinidia arguta Based on Widely Targeted MetabolomicsJ. Science and Technology of Food Industry, 2026, 47(14): 1−14. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025060136.

基于广靶代谢组学的不同品种软枣猕猴桃黄酮类化合物的比较分析

Comparative Analysis of Flavonoids in Different Varieties of Actinidia arguta Based on Widely Targeted Metabolomics

  • 摘要: 为探究‘龙城2号’、‘L133’以及‘909’3个品种软枣猕猴桃黄酮类化合物的代谢差异,明确核心差异代谢物与关键代谢通路,采用广靶代谢组学技术,对3个品种成熟期果实的黄酮类化合物进行定性定量分析,结合主成分分析(PCA)、层次聚类分析(HCA)、正交偏最小二乘判别分析筛选差异代谢物(OPLS-DA),通过KEGG数据库进行通路富集分析。结果表明,共检测到11类286个黄酮类化合物,其中黄酮醇类种类最多,为118个,占比41%;PCA与HCA结果表明,3个品种软枣猕猴桃黄酮类化合物组成差异显著,且各品种均含有特征性高度富集的黄酮类成分,其中,‘龙城2号’中槲皮素-5,4'-二-O-葡萄糖苷、飞燕草素-3-O-(6-咖啡酰-β-D-葡萄糖苷)以及苜蓿素-7-O-葡萄糖二酸苷含量最高,这些成分具有较强的抗氧化和抗炎活性,使该品种在功能性产品开发中具有潜力;‘L133’中木犀草素及其衍生物含量最高,有助于其形成独特风味,适宜风味产品加工;‘909’中花青素类物质含量显著高于其他品种,可赋予果实鲜艳色泽,使其在功能性果干或膳食补充剂开发中具备优势。这些特征代谢物可能是区分品种差异的关键物质。KEGG富集分析揭示,差异黄酮类化合物主要富集于异鼠李素-O-糖苷生物合成途径、类黄酮生物合成途径以及山奈酚苷元的生物合成Ⅱ途径中。本研究为软枣猕猴桃品种选育、黄酮类化合物精准开发及功能性食品研发提供理论支持和数据参考。

     

    Abstract: To explore the metabolic differences of flavonoids among three varieties of Actinidia arguta ('Longcheng 2', 'L133' and '909'), and identify the core differential metabolites and key metabolic pathways, this study employed a widely targeted metabolomics approach to conduct qualitative and quantitative analysis of flavonoids in the mature fruits of the three varieties. Principal component analysis (PCA), hierarchical cluster analysis (HCA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) were combined to screen differential metabolites, and pathway enrichment analysis was performed using the KEGG database. The results showed that a total of 286 flavonoids belonging to 11 categories were detected, among which flavonols were the most abundant (118 species, accounting for 41%). PCA and HCA results indicated significant differences in flavonoid composition among the three varieties, each containing characteristic and highly enriched flavonoid components. Specifically, 'Longcheng 2' exhibited the highest contents of quercetin-5,4'-di-O-glucoside, delphinidin-3-O-(6-caffeoyl-β-D-glucoside), and tricin-7-O-glucuronide, which possess strong antioxidant and anti-inflammatory activities, highlighting its potential for developing functional products. 'L133' had the highest levels of luteolin and its derivatives, contributing to its unique flavor profile and suitability for processed flavor products. '909' showed the highest anthocyanin content, which imparts vivid coloration to the fruit, making it advantageous for developing functional dried fruits or dietary supplements. These characteristic metabolites may serve as key markers for variety differentiation. KEGG enrichment analysis revealed that the differential flavonoids were mainly enriched in the isorhamnetin-O-glycoside biosynthesis pathway, flavonoid biosynthesis pathway, and kaempferol aglycone biosynthesis II pathway. This study provides theoretical support and data references for the variety breeding of A. arguta, the precise development of flavonoids, and the research and development of functional foods.

     

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