食品科学 ›› 2026, Vol. 47 ›› Issue (18): 143-157.doi: 10.7506/spkx1002-6630-20260308-063

• 生物工程 • 上一篇    

酱香型白酒第6轮次不同温度阶段堆积外层菌群演替与代谢物特征差异解析

陈小燕1,王松涛2,3,4,明红梅1,5,*,Muhammad Aamer MEHMOOD1,张宿义3,4,沈才洪3,4,潘训海1,许德富4,熊堂语4,黄勇刚1   

  1. (1.四川轻化工大学食品与酿酒工程学院,四川 宜宾 644000;2.泸州品创科技有限公司,四川 泸州 646000;3.国家固态酿造工程技术研究中心,四川 泸州 646000;4.泸州老窖股份有限公司,四川 泸州 646000;5.四川轻化工大学 酿酒科学与技术四川省重点实验室,四川 宜宾 644000)
  • 发布日期:2026-09-29
  • 基金资助:
    国家固态酿造工程技术研究中心/泸州品创科技有限公司资助项目(2023HX20); 中国轻工业酿酒生物技术及智能制造重点实验室资助项目(2024-03)

Analysis of Microbiota Succession and Differential Metabolite Characteristics in Outer-Layer Fermented Grains at Different Temperature Stages in the 6th Round of Stacking Fermentation of Jiangxiangxing Baijiu

CHEN Xiaoyan, WANG Songtao, MING Hongmei, Muhammad Aamer MEHMOOD, ZHANG Suyi, SHEN Caihong, PAN Xunhai, XU Defu, XIONG Tangyu, HUANG Yonggang   

  1. (1. School of Food and Liquor Engineering, Sichuan University of Science & Engineering, Yibin 644000, China; 2. Luzhou Pinchuang Technology Co. Ltd., Luzhou 646000, China; 3. National Engineering Research Center of Solid-State Brewing, Luzhou 646000, China; 4. Luzhou Laojiao Co. Ltd., Luzhou 646000, China; 5. Brewing Science and Technology Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Yibin 644000, China)
  • Published:2026-09-29

摘要: 本研究聚焦酱香型白酒第6轮次外层酒醅的堆积发酵过程,从温度维度划分为中温发酵阶段(medium temperature fermentation stage,MT,酒醅温度≤30 ℃)和高温发酵阶段(high temperature fermentation stage,HT,酒醅温度>30 ℃),采用宏基因组学和非靶向代谢组学联用技术对比分析不同温度阶段的酒醅微生物的演替、代谢物变化及其差异特征。结果表明,在MT阶段向HT阶段演替的过程中,以Monascus、Aspergillus、Rasamsonia、Pichia、Zygosaccharomyces为主导的真菌群落受温度影响较大,而以Kroppenstedtia、Desmospora、Lentibacillus为主导的细菌群落较真菌群落更为稳定;线性判别分析效应量分析发现,驱动MT阶段和HT阶段堆积酒醅差异性的关键类群包括Saccharopolyspora、Streptomyces、Brevibacterium等8 种差异细菌属和Kazachstania、Aspergillus、Monascus等16 种差异真菌属;宏基因组数据的京都基因与基因组百科全书通路富集分析表明,高温堆积驱动了微生物群落的生态位分化,酵母菌逐渐成为优势群体,即由MT阶段中“细菌广谱代谢”逐渐转变为HT阶段中“酵母核心代谢”;差异积累代谢物分析表明,在高温环境和微生物的共作用下,二酰甘油(18:1/18:4)、二酰甘油(16:0/20:5)等甘油酯类和L-焦谷氨酸、甘氨酰-缬氨酰-天冬酰胺等氨基酸及其衍生物以及核黄素、烟酰胺-N-氧化物等差异积累代谢物在HT阶段显著积累;相关性分析表明,与差异代谢物关联度最多的细菌属为Brevibacterium(15 种),真菌属为Penicillium(24 种),Brevibacterium、Penicillium、Aspergillus等差异优势菌属均与甘氨酰-缬氨酰-天冬酰胺、甘氨酰亮氨酸、二酰甘油(18:1/18:4)、二酰甘油(16:0/20:5)等呈极显著正相关(P<0.01),且以Penicillium、Aspergillus等霉菌和Pichia、Kazachstania等酵母菌为代表的真菌群落与代谢网络的连接复杂度高于细菌群落。本研究发现,在不同温度阶段中,堆积外层微生物演替、功能表征及其代谢物的表达均具有一定的差异性特征,为进一步研究酱香型白酒堆积发酵机理提供参考。

关键词: 酱香型白酒;堆积发酵;温度;微生物群落;代谢物;相关性

Abstract: This study focused on the sixth round of stacking fermentation of outer-layer fermented grains (Jiupei) during jiangxiangxing baijiu production. Based on temperature, the process was divided into two stages: medium-temperature fermentation (MT; ≤ 30 ℃) and high-temperature fermentation (HT; > 30 ℃). Using integrated metagenomics and untargeted metabolomics, Jiupei was analyzed for microbial succession and changes in and differential characteristics of metabolite profile at the different temperature stages. The results revealed that during the transition from MT to HT, the fungal community, dominated by Monascus, Aspergillus, Rasamsonia, Pichia, and Zygosaccharomyces, was substantially influenced by temperature, whereas the bacterial community, dominated by Kroppenstedtia, Desmospora, and Lentibacillus, exhibited greater stability compared with the fungal community. Linear discriminant analysis effect size (LEfSe) analysis identified 8 differential bacterial genera (including Saccharopolyspora, Streptomyces, and Brevibacterium) and 16 differential fungal genera (including Kazachstania, Aspergillus, and Monascus) as key taxa driving the distinction between the MT and HT stages. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis based on metagenomic data demonstrated that high-temperature stacking fermentation drove niche differentiation of the microbial communities, with yeasts gradually becoming the dominant group, shifting from “bacterial broad-spectrum metabolism” in the MT stage to “yeast core metabolism” in the HT stage. Differential accumulated metabolites (DAMs) analysis showed that under the combined effects of high temperature and microbial activity, glycerolipids including diacylglycerol (18:1/18:4) and diacylglycerol (16:0/20:5), amino acids and their derivatives including L-pyroglutamate and glycyl-valyl-asparagine, riboflavin, and nicotinamide-N-oxide accumulated significantly during the HT stage. Correlation analysis showed that the bacterial and fungal genera associated with the greatest number of DAMs were Brevibacterium (15) and Penicillium (24), respectively. Differential dominant genera including Brevibacterium, Penicillium, and Aspergillus showed highly significant positive correlations (P < 0.01) with glycyl-valyl-asparagine, glycyl-leucine, diacylglycerol (18:1/18:4), and diacylglycerol (16:0/20:5). Furthermore, the fungal community, represented by molds (Penicillium, Aspergillus) and yeasts (Pichia, Kazachstania), displayed higher connectivity complexity with the metabolic network compared with the bacterial community. In conclusion, this study found that at different temperature stages, the microbial succession, functional characteristics, and metabolite expression in outer-layer Jiupei varied across the different temperature stages of stacking fermentation, providing a reference for further research on the stacking fermentation mechanism of jiangxiangxing baijiu.

Key words: jiangxiangxing baijiu; stacking fermentation; temperature; microbial community; metabolite; correlation

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