食品与发酵工业 >

2025 , Vol. 51 >Issue 10: 167 - 176

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.039604

研究报告

基于非靶向代谢组学分析不同发酵时期新疆沙棘酵素代谢产物的差异

  • 范蕊 ,
  • 王文文 ,
  • 王腾斌 ,
  • 卢彬 ,
  • 刘潇 ,
  • 曹雪琴
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  • (新疆维吾尔自治区分析测试研究院, 新疆 乌鲁木齐, 830011)
第一作者:硕士,高级实验师(曹雪琴副研究员为通信作者,E-mail:3047665049@qq.com)

收稿日期: 2024-04-17

  修回日期: 2024-06-07

  网络出版日期: 2025-06-11

基金资助

新疆维吾尔自治区自然科学基金资助项目(2022D01B49)

收起

Difference of enzyme metabolites in Xinjiang seabuckthorn during different fermentation periods based on non-targeted metabolomics

  • FAN Rui ,
  • WANG Wenwen ,
  • WANG Tengbin ,
  • LU Bin ,
  • LIU Xiao ,
  • CAO Xueqin
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  • (Xinjiang Academy of Analysis and Testing, Urumqi 830011, China)

Received date: 2024-04-17

  Revised date: 2024-06-07

  Online published: 2025-06-11

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摘要

该研究采用超高效液相色谱-质谱联用(ultra-performance liquid chromatography-mass spectrometry,UPLC-MS)非靶向代谢组学技术分析沙棘酵素不同发酵时期产生的各类差异代谢化合物。分别使用偏最小二乘判别方法、主成分分析方法、人类代谢数据库HMDB(Human Metabolome Database)化合物分类、KEGG通路富集、韦恩图(Venn)及火山图等对代谢组数据进行差异分析。共鉴定出16类1 164种代谢物质,其中有机酸、有机杂环化合物、脂质和类脂分子三类代谢产物占比最高,主要参与柠檬酸循环(三羧酸循环)、丁酸代谢、色氨酸代谢等代谢途径。以偏最小二乘判别分析模型变量投影重要性值≥ 1、P值<0.05、FC>2和FC<1/2为标准筛选显著差异代谢物,共筛选出7种显著差异代谢化合物。该研究针对不同发酵时期代谢物质含量变化,探索该过程中的活性物质成分,旨在为沙棘酵素功能成分及代谢调控机制提供科学依据,为后期沙棘资源的开发利用奠定理论基础,助力沙棘产业纵深发展。

关键词： 沙棘; 非靶向代谢组学; 酵素; 代谢产物; 差异分析

本文引用格式

范蕊 , 王文文 , 王腾斌 , 卢彬 , 刘潇 , 曹雪琴 . 基于非靶向代谢组学分析不同发酵时期新疆沙棘酵素代谢产物的差异[J]. 食品与发酵工业, 2025 , 51(10) : 167 -176 . DOI: 10.13995/j.cnki.11-1802/ts.039604

Abstract

In this study, LC-MS non-targeted metabolomics technology was utilized to analyze diverse metabolic compounds produced by seabuckthorn enzymes across different fermentation periods.Methods including partial least squares discriminant analysis (PLS-DA), principal component analysis (PCA), HMDB compound classification, KEGG pathway enrichment, Venn mapping, and volcano plotting were employed to evaluate the metabolome data.A total of 1 164 metabolites were identified and classified into 16 distinct classes.The majority were organic acids, organic heterocyclic compounds, and lipids, prominently involved in the citric acid cycle (TCA cycle), butyric acid metabolism, and tryptophan metabolism.Using the criteria of variable importance in projection value ≥ 1, P-value<0.05, FC>2, and FC<1/2 in the PLS-DA model, 7 metabolites with significant differences were identified.This study aimed to elucidate the changes in metabolic substance content during various fermentation periods and explore active substance components, providing a scientific foundation for the functional components and metabolic regulation mechanisms of seabuckthorn enzymes.This research lays the theoretical groundwork for the future development and utilization of seabuckthorn resources, facilitating the advancement of the seabuckthorn industry.

Key words： seabuckthorn; non-targeted metabolomics; ferment; metabolite; difference analysis

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