食品科学

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山西老陈醋醋酸发酵阶段非挥发性功能化合物累积规律与核心功能微生物解析

杨凌凌1,罗贤贤2,赵慧姿2,夏瑶瑶3,张文静2,邹伟1   

  1. 1. 四川轻化工大学
    2. 食醋发酵科学与工程山西省重点实验室
    3. 山西紫林醋业股份有限公司
  • 收稿日期:2025-07-30 修回日期:2025-10-11 出版日期:2025-11-10 发布日期:2025-11-10
  • 通讯作者: 邹伟
  • 基金资助:
    食醋发酵科学与工程山西省重点实验室建设项目;山西省科技成果转化引导专项计划项目

Unraveling Non-Volatile Functional Compounds Accumulation Dynamics and Core Functional Microorganisms during Acetic Acid Fermentation of Shanxi Aged Vinega

2, 2, 2,Zou Wei   

  • Received:2025-07-30 Revised:2025-10-11 Online:2025-11-10 Published:2025-11-10
  • Contact: Zou Wei

摘要: 山西老陈醋作为传统发酵食品的典型代表,不仅因其独特风味而广受欢迎,也因其潜在的保健功能而具有药食同源的文化内涵。本研究聚焦于醋酸发酵阶段的醋醅样本,结合非靶向代谢组学、基因组学方法,系统揭示了非挥发性有益化合物的积累规律及其潜在微生物来源。代谢组学分析共鉴定2088种化合物,其中1247种为显著差异化合物,涵盖多种风味前体和具有药用价值的活性成分,并呈现出随发酵进程动态变化的累积特征。其中,发酵第9天醋醅中富集49种具有生物功能的化合物和8种关键风味化合物。醋醅微生物相关性分析进一步揭示,金山醋乳杆菌(Acetilactobacillus jinshanensis),果实醋杆菌(Acetobacter pomorum),苹果酒醋杆菌(Acetobacter sicerae),泰国醋杆菌(Acetobacter thailandicus),服从驹形氏杆菌(Komagataeibacter oboediens),巴里木崎氏菌(Kozakia baliensis)这6种微生物与多数在醋醅发酵9天富集的具有生物功能的化合物和关键风味化合物均呈显著正相关(|r| ≥ 0.7, p < 0.05)。基于宏基因组组装基因组(MAGs)构建核心菌种的基因组规模代谢网络模型(GSMMs)表明,K. oboediens具备完整的碳氮骨架代谢与风味前体合成能力,而A. jinshanensis拥有的尿素循环及氰苷降解能力,共同构成化合物累积的分子基础。本研究为定向设计合成微生物群落及优化精准发酵工艺提供了理论依据。

关键词: 山西老陈醋, 非靶向代谢组学, 功能微生物, 代谢网络模型

Abstract: Shanxi Aged Vinegar (SAV), a quintessential traditional fermented food, is not only widely popular for its unique flavor but also embodies the cultural concept of medicine-food homology due to its potential health benefits. This study focused on vinegar fermentation substrate samples during the acetic acid fermentation stage. By integrating untargeted metabolomics and genomics approaches, we systematically elucidated the accumulation patterns of non-volatile beneficial compounds and their potential microbial origins. Metabolomic analysis identified a total of 2088 compounds, among which 1247 were significantly differential compounds. These encompassed various flavor precursors and bioactive components with medicinal value, exhibiting dynamic accumulation patterns throughout the fermentation process. Notably, the fermentation substrate on day 9 was enriched with 49 functional compounds with bioactivities and 8 key flavor compounds. Microbial correlation analysis further revealed that six microbial species – Acetilactobacillus jinshanensis, Acetobacter pomorum, Acetobacter sicerae, Acetobacter thailandicus, Komagataeibacter oboediens, and Kozakia baliensis – showed significant positive correlations (|r| ≥ 0.7, p < 0.05) with the majority of medicinal and flavor metabolites enriched on day 9. Genome-scale metabolic models (GSMMs) constructed from metagenome-assembled genomes (MAGs) of these core strains indicated that K. oboediens possesses complete carbon-nitrogen skeleton metabolism and flavor precursor synthesis capabilities. Meanwhile, A. jinshanensis contributes urea cycle and cyanogenic glycoside degradation abilities, collectively forming the molecular basis for compounds accumulation. This research provides a theoretical foundation for the targeted design of synthetic microbial communities and the optimization of precision fermentation processes.

Key words: Shanxi Aged Vinegar, Untargeted Metabolomics, Functional Microorganisms, Genome-scale Metabolic Models

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