食品科学 ›› 2025, Vol. 46 ›› Issue (11): 125-138.doi: 10.7506/spkx1002-6630-20241119-140

• 生物工程 • 上一篇    

通过细菌多样性和非靶向代谢组学揭示新疆博乐酸奶细菌菌群结构及代谢差异

汪琪,曾军,霍向东,薛娟娟,娄恺,林青,赵仲凯,高雁   

  1. (1.新疆大学智慧农业学院(研究院),新疆 乌鲁木齐 830017;2.新疆维吾尔自治区农业科学院微生物研究所,新疆特殊环境微生物实验室,新疆 乌鲁木齐 830091)
  • 发布日期:2025-05-14
  • 基金资助:
    新疆维吾尔自治区自然科学基金项目(2022D01C680);新疆维吾尔自治区奶产业技术体系项目(NCYJSTX2024)

Yogurts from Different Producers in Bole, Xinjiang: Bacterial Diversity and Community Structure and Differences in Metabolite Profile as Revealed by Untargeted Metabolomics

WANG Qi, ZENG Jun, HUO Xiangdong, XUE Juanjuan, LOU Kai, LIN Qing, ZHAO Zhongkai, GAO Yan   

  1. (1. College of Smart Agriculture (Research Institute), Xinjiang University, ürümqi 830017, China; 2. Xinjiang Laboratory of Special Environmental Microbiology, Institute of Microbiology, Xinjiang Academy of Agricultural Sciences, ürümqi 830091, China)
  • Published:2025-05-14

摘要: 利用Illumina测序和非靶向代谢组学技术,分析新疆博乐酸奶中的细菌多样性和代谢组学特征,并探讨它们之间的关系。根据细菌多样性可知,新疆博乐酸奶中主要菌属分别是Lactobacillus、Klebsiella、Lactococcus和Acetobacter等。通过线性判别分析效应量和基于16S rRNA基因序列的微生物功能预测工具分析,筛选出Lactobacillus、Klebsiella和Lactococcus等菌属为生物标志物,并预测了其功能。根据代谢组学分析,在正、负离子模式分别鉴定到397 个和324 个代谢物,其中脂质和类脂分子、有机酸及其衍生物和有机杂环化合物为主要化合物分类。脂质和类脂分子、有机酸及其衍生物等是主要差异代谢物,这些物质对酸奶风味有一定影响。在代谢通路分析中,主要富集的代谢通路为氨基酸代谢和次生代谢,这和功能预测结果部分一致。微生物组学和代谢组学联合分析发现,Lactobacillus、Limosilactobacillus、Lactococcus和Klebsiella等菌属与有机酸及其衍生物、脂质和类脂分子等代谢物存在显著相关性,说明微生物群落通过自身代谢活动影响酸奶的营养物质。本研究探索了3 种新疆博乐酸奶的菌群结构和代谢产物,以期更好地为新疆酸奶的生产和品质提升提供科学理论依据。

关键词: 酸奶;细菌多样性;非靶向代谢组学;Illumina测序;新疆博乐

Abstract: The bacterial diversity and metabolomic characteristics of yogurt from three different producers in Bole, Xinjiang were analyzed by using Illumina sequencing and untargeted metabolomics, and the relationship between them was explored. Bacterial diversity analysis showed that the major bacterial genera in the yogurt samples were Lactobacillus, Klebsiella, Lactococcus, and Acetobacter. Using linear discriminant analysis effect size (LEfSe) and phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt), Lactobacillus, Klebsiella, and Lactococcus were identified as biomarkers, and their functions were predicted. The metabolomic analysis identified a total of 397 metabolites in the positive ion mode and 324 metabolites in the negative ion mode, with lipids and lipid-like substances, organic acids and their derivatives, and organic heterocyclic compounds being the predominant ones. Notably, lipids and lipid-like substances, organic acids and their derivatives were the major differential metabolites, contributing to the flavor of yogurt. The metabolic pathway analysis revealed amino acid metabolism and secondary metabolism to be the main enriched pathways, which aligned partially with the functional prediction results. Integrated microbiomic and metabolomic analyses showed that the genera Lactobacillus, Limosilactobacillus, Lactococcus, and Klebsiella were significantly correlated with some metabolites such as organic acids and their derivatives, as well as lipids and lipid-like substances, indicating that the microbial community affected the nutrients of yogurt through its metabolic activities. This study provides a scientific theoretical basis for the production and quality improvement of Xinjiang yogurt.

Key words: yogurt; bacterial diversity; untargeted metabolomics; Illumina sequencing; Xinjiang’s bole

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