食品与发酵工业 >

2026 , Vol. 52 >Issue 7: 132 - 141

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.044823

研究报告

基于广靶代谢组学分析焉耆产区不同负载量下‘马瑟兰’葡萄代谢物的差异

  • 白晓雪 ,
  • 武运 ,
  • 马文瑞 ,
  • 焦志谦 ,
  • 游鸿瑞 ,
  • 张利利 ,
  • 唐江北 ,
  • 黄文书
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  • 1(新疆农业大学 食品科学与药学学院,新疆 乌鲁木齐,830052)
    2(新疆维吾尔自治区特色果蔬加工工程研究中心,新疆 乌鲁木齐,830052)
    3(新疆天塞酒庄有限责任公司,新疆 库尔勒,841100)
第一作者:硕士研究生(黄文书教授为通信作者,E-mail:xjnd-hws@126.com)

收稿日期: 2025-10-15

  修回日期: 2025-11-14

  网络出版日期: 2026-04-17

基金资助

自治区重点研发计划项目(2023B02027-1);自治区重点研发计划项目(2024B02021-3)

收起

Differential metabolites in ‘Marselan’ grapes from Yanqi region under different yield levels:A broad-target metabolomics analysis

  • BAI Xiaoxue ,
  • WU Yun ,
  • MA Wenrui ,
  • JIAO Zhiqian ,
  • YOU Hongrui ,
  • ZHANG Lili ,
  • TANG Jiangbei ,
  • HUANG Wenshu
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  • 1(College of Food Science and Pharmacy, Xinjiang Agricultural University, Urumqi 830052, China)
    2(Xinjiang Uygur Autonomous Region Special Fruits and Vegetables Processing Engineering Research Center, Urumqi 830052, China)
    3(Xinjiang Tiansai Winery Co. Ltd., Korla 841100, China)

Received date: 2025-10-15

  Revised date: 2025-11-14

  Online published: 2026-04-17

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摘要

为研究不同负载量对‘马瑟兰’葡萄代谢产物的影响,采用超高效液相色谱串联质谱技术对5种负载量处理的葡萄样本进行了广靶向代谢组学分析。处理组包括:未进行疏穗处理的对照组(CK),新梢密度为10条/m、每条新梢果穗数为1穗(T1),新梢密度为10条/m、每条新梢果穗数为2穗(T2),新梢密度为15条/m、每条新梢果穗数为1穗(T3)和新梢密度为15条/米、每条新梢果穗数为2穗(T4)。通过主成分分析、正交偏最小二乘法以及KEGG通路富集分析,筛选出显著差异代谢物。以偏最小二乘判别分析模型变量重要性值(VIP)＞1、P＜0.05、FC＞2和FC＜1/2为筛选标准,最终筛选出11种显著差异代谢物,主要参与黄酮类和类黄酮的合成、苯丙氨酸、酪氨酸、色氨酸的合成以及三羧酸循环。通过广靶向代谢组学分析,揭示了疏穗处理对葡萄代谢产物分布的显著影响,为新疆酿酒葡萄的栽培管理提供了理论依据。

关键词： ‘马瑟兰’葡萄; 广靶向代谢组学; 差异代谢物

本文引用格式

白晓雪 , 武运 , 马文瑞 , 焦志谦 , 游鸿瑞 , 张利利 , 唐江北 , 黄文书 . 基于广靶代谢组学分析焉耆产区不同负载量下‘马瑟兰’葡萄代谢物的差异[J]. 食品与发酵工业, 2026 , 52(7) : 132 -141 . DOI: 10.13995/j.cnki.11-1802/ts.044823

Abstract

To investigate the impact of different crop loads on the metabolic profile of ‘Marselan’ grapes, a comprehensive targeted metabolomics analysis was conducted using ultra-performance liquid chromatography-tandem mass spectrometry on grape samples under five crop load treatments.The treatments included:a control group (CK) with no thinning, new shoot density of 10 shoots per meter and 1 cluster per shoot (T1), new shoot density of 10 shoots per meter and 2 clusters per shoot (T2), new shoot density of 15 shoots per meter and 1 cluster per shoot (T3), and new shoot density of 15 shoots per meter and 2 clusters per shoot (T4).Principal component analysis, orthogonal partial least squares-discriminant analysis, and KEGG pathway enrichment analysis were employed to identify significantly different metabolites.Significant metabolites were selected using a threshold of variable importance in projection (VIP)>1, P<0.05, fold change (FC)>2, and FC<1/2.In total, 11 significantly different metabolites were identified, primarily involved in the biosynthesis of flavonoids and flavonoid-like compounds, phenylalanine, tyrosine, and tryptophan metabolism, and the citric acid cycle.This comprehensive metabolomics analysis revealed significant effects of thinning treatments on the distribution of grape metabolites, providing a scientific basis for the cultivation management of wine grapes in Xinjiang.

Key words： ‘Marselan’ grape; broad-targeted metabolomics; differential metabolites

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