食品科学 ›› 2026, Vol. 47 ›› Issue (8): 153-163.doi: 10.7506/spkx1002-6630-20251018-110

• 生物工程 • 上一篇    下一篇

基于宏基因组学的浓香型白酒发酵酒醅微生物群落演替及功能

刘俊男,沈希,陈泽燕,何卓,王嘉丽,杨阳,钟小忠,肖辰,李姝,王松涛   

  1. (1.泸州品创科技有限公司,国家固态酿造工程技术研究中心,四川 泸州 646000;2.西南交通大学生命科学与工程学院,四川 成都 610000)
  • 出版日期:2026-04-25 发布日期:2026-05-15
  • 基金资助:
    四川省中央引导地方科技发展专项资助项目(2024ZYD0252);泸州市科技计划资助项目(2024JYJ104)

Investigating Microbial Community Succession and Function in Fermented Grains (Jiupei) of Nongxiangxing Baijiu Using Metagenomics

LIU Junnan, SHEN Xi, CHEN Zeyan, HE Zhuo, WANG Jiali, YANG Yang, ZHONG Xiaozhong, XIAO Chen, LI Shu, WANG Songtao   

  1. (1. National Engineering Research Center of Solid-State Brewing, Luzhou Pinchuang Technology Co., Ltd., Luzhou 646000, China; 2. School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610000, China)
  • Online:2026-04-25 Published:2026-05-15

摘要: 为深入解析浓香型白酒发酵机制,本研究利用宏基因组学技术,系统探究酒醅微生物群落的动态演替及其功能特征。结果表明,酒醅微生物丰富度和多样性在发酵第6天达到峰值后逐渐下降,群落结构呈现明显的时序性演替,可划分为前期(0~12 d)、中期(18~24 d)和后期(30~45 d)3 个阶段;Acetilactobacillus在发酵后期成为绝对优势细菌属(相对丰度>92%),Maudiozyma随着发酵的进行丰度显著上升。CAZy注释显示糖苷水解酶基因丰度最高,京都基因与基因组百科全书分析揭示微生物广泛参与糖酵解、乙醇合成、酸代谢和酯类合成等关键代谢途径,其中Pantoea、Bacillus、Aspergillus、Rhizopus和Acetilactobacillus等是核心功能贡献者。本研究基于宏基因组学技术全面揭示了浓香型白酒酒醅微生物群落的阶段演替规律及其代谢功能基础,可为优化生产工艺、提升白酒品质提供理论依据和数据支持。

关键词: 浓香型白酒;酒醅;微生物群落;宏基因组学;功能分析

Abstract: In order to obtain insights into the fermentation mechanism of Nongxiangxing baijiu, this study employed metagenomics to analyze the dynamic succession and functional characteristics of the microbial community in the fermented grains (Jiupei). Results showed that microbial richness and diversity peaked on day 6 of fermentation and then gradually declined. The community structure exhibited clear temporal succession, divided into three stages: early (0–12 days), middle (18–24 days), and late (30–45 days). In the late stage, Acetilactobacillus became the dominant bacterial genus, with a relative abundance exceeding 92%. The abundance of Maudiozyma increased significantly as fermentation progressed. CAZy annotation revealed that glycoside hydrolase (GH) genes were the most abundant. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated broad microbial involvement in key metabolic pathways such as glycolysis, ethanol synthesis, acid metabolism, and ester synthesis. Pantoea, Bacillus, Aspergillus, Rhizopus, and Acetilactobacillus were identified as core functional contributors. Using metagenomics, this study systematically reveals the stage-specific succession patterns and metabolic foundations of the microbial community in Nongxiangxing baijiu jiupei. These findings provide a theoretical basis and data support for optimizing the production process and improving the quality of baijiu.

Key words: Nongxiangxing baijiu; Jiupei; microbial community; metagenomics; functional analysis

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