食品科学 ›› 2026, Vol. 47 ›› Issue (17): 120-130.doi: 10.7506/spkx1002-6630-20260121-173

• 生物工程 • 上一篇    下一篇

造沙发酵驱动窖泥微生物群落组装、互作网络及代谢调控机制

唐佳代,粱相雯,胡可,郭雪峰,肖新瑞,张芮瑞,邓红   

  1. (1.茅台学院酿酒工程学院,贵州?遵义 564500;2.茅台学院食品工程学院,贵州?遵义 564500;3.贵州茅台酒股份有限公司,贵州?遵义 564500;4.茅台学院资源与环境学院,贵州?遵义 564500)
  • 出版日期:2026-09-15 发布日期:2026-09-03
  • 基金资助:
    贵州省基础研究计划面上项目(黔科合基础MS[2026]764); 贵州省基础研究计划(自然科学)青年引导项目(黔科合基础[2024]青年200); 遵义市科学技术局、茅台学院市校联合科技研发资金项目(遵市科合HZ字[2024]375号); 白酒行业相关科学研究项目(BJXG2025-002);茅台学院高层人才科研启动经费项目(mygccrc[2024]017); 茅台学院科技创新团队(MTXYTD202501);大学生创新创业计划项目(S2024146251789;X2024146250006)

Zaosha Fermentation Drives Microbial Community Assembly, Interaction Networks, and Metabolic Regulation in Baijiu Pit Mud

TANG Jiadai, LIANG Xiangwen, HU Ke, GUO Xuefeng, XIAO Xinrui, ZHANG Ruirui, DENG Hong   

  1. (1. School of Brewing Engineering, Moutai Institute, Zunyi 564500, China; 2. School of Food Engineering, Moutai Institute, Zunyi564500, China; 3. Kweichow Moutai Co., Ltd., Zunyi 564500, China; 4. School of Resources and Environment, Moutai Institute, Zunyi 564500, China)
  • Online:2026-09-15 Published:2026-09-03

摘要: 为揭示造沙发酵对酱香型白酒窖泥微生态系统的调控机制,本研究基于高通量测序与非靶向代谢组学技术,系统解析发酵前后窖泥微生物多样性、群落组装机制、微生物互作网络及其与代谢物和理化因子的耦合关系。结果表明,造沙发酵显著降低了窖泥中细菌丰度并提高其多样性,而对真菌多样性影响不显著。群落结构分析显示,Trichoderma、Pichia、Wickerhamomyces、Penicillium和Sinomonas是驱动发酵过程中窖泥微生物演变的关键类群。基于零模型的群落组装分析发现,造沙发酵显著增强了异质选择在真菌和细菌群落组装中的贡献,使群落由随机组装向确定性组装转变,该过程与发酵环境选择压力密切相关。共现网络分析表明,造沙发酵促进了窖泥微生物互作网络由分散向高度模块化和紧密协同演化,细菌网络表现出更稳定的代谢分工特征。代谢组学结果显示,造沙发酵显著重塑了窖泥代谢物组成,脂质及类脂分子为主要差异代谢物类别。不饱和脂肪酸、类花生酸、磷脂及碳水化合物等代谢物显著富集。进一步的微生物-代谢物关联分析揭示,Lodderomyces、Trichosporon、Trichoderma和Acinetobacter等优势微生物可能通过协同调控脂肪酸、核苷酸及细胞壁相关代谢,参与白酒风味前体物质的形成。综上,造沙发酵通过调控环境因子,驱动窖泥微生物群落组装与互作网络重构,并协同塑造其代谢功能,为酱香型白酒品质形成提供了重要微生态学依据。

关键词: 酱香型白酒;窖泥;微生物群落组装;共现网络;代谢组学

Abstract: To elucidate the regulatory effects of Zaosha fermentation on the pit mud microecosystem in Jiangxiangxing Baijiu production, this study integrated high-throughput sequencing and untargeted metabolomics to systematically investigate the microbial diversity, community assembly mechanisms and interaction networks, as well as their relationships with metabolites and physicochemical factors in pit mud before and after fermentation. The results showed that Zaosha fermentation significantly reduced bacterial abundance while increasing bacterial diversity, whereas fungal diversity remained relatively stable. Community structure analysis identified Trichoderma, Pichia, Wickerhamomyces, Penicillium, and Sinomonas as key taxa driving microbial succession during the fermentation process. Null model-based community assembly analysis showed that Zaosha fermentation enhanced the contribution of heterogeneous selection to the assembly of bacterial and fungal communities, shifting microbial community assembly from stochastic to deterministic processes; this transition was closely associated with enhanced environmental filtering. Co-occurrence network analysis indicated that Zaosha fermentation promoted the transition of microbial interactions from dispersed to more compact and highly modular structures, with the bacterial network exhibiting more stable metabolic division of labor. Metabolomic profiling demonstrated that Zaosha fermentation markedly reshaped the metabolite composition of pit mud, with lipids and lipid-like molecules being the predominant differential metabolites. Polyunsaturated fatty acids, eicosanoids, phospholipids, and carbohydrates were significantly enriched after fermentation. Microbe-metabolite correlation analysis suggested that dominant genera such as Lodderomyces, Trichosporon, Trichoderma, and Acinetobacter may cooperatively regulate fatty acid, nucleotide, and cell wall-related metabolism, contributing to the formation of flavor precursor compounds in Baijiu. Collectively, these findings demonstrate that Zaosha fermentation drives microbial community assembly and interaction network reorganization in pit mud, and shapes microbial metabolic function through environmental regulation. This provides new insights into the microecological mechanisms underlying the quality formation of Jiangxiangxing Baijiu.

Key words: Jiangxiangxing Baijiu; pit mud; microbial community assembly; co-occurrence network; metabolomics

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