Bo Tao, Zhang Jiaojiao, Zong Enxiang, Lv Na, Bai Baoqing, Yang Yukun, Zhang Jinhua, Fan Sanhong
Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Institute of Biotechnology, Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China.
Xinghuacun Fenjiu Distillery Co., Ltd., Fenyang 032200, China.
Foods. 2024 Jun 6;13(11):1782. doi: 10.3390/foods13111782.
The fermentation process of Chinese Baijiu's fermented grains involves the intricate succession and metabolism of microbial communities, collectively shaping the Baijiu's quality. Understanding the composition and succession of these living microbial communities within fermented grains is crucial for comprehending fermentation and flavor formation mechanisms. However, conducting high-throughput analysis of living microbial communities within the complex microbial system of fermented grains poses significant challenges. Thus, this study addressed this challenge by devising a high-throughput analysis framework using light-flavor Baijiu as a model. This framework combined propidium monoazide (PMA) pretreatment technology with amplicon sequencing techniques. Optimal PMA treatment parameters, including a concentration of 50 μM and incubation in darkness for 5 min followed by an exposure incubation period of 5 min, were identified. Utilizing this protocol, viable microorganism biomass ranging from 8.71 × 10 to 1.47 × 10 copies/μL was successfully detected in fermented grain samples. Subsequent amplicon sequencing analysis revealed distinct microbial community structures between untreated and PMA-treated groups, with notable differences in relative abundance compositions, particularly in dominant species such as , , , , and , as identified by LEfSe analysis. The results of this study confirmed the efficacy of PMA-amplicon sequencing technology for analyzing living microbial communities in fermented grains and furnished a methodological framework for investigating living microbial communities in diverse traditional fermented foods. This technical framework holds considerable significance for advancing our understanding of the fermentation mechanisms intrinsic to traditional fermented foods.
中国白酒酒醅的发酵过程涉及微生物群落的复杂演替和代谢,共同塑造了白酒的品质。了解酒醅中这些活性微生物群落的组成和演替对于理解发酵和风味形成机制至关重要。然而,对酒醅复杂微生物系统中的活性微生物群落进行高通量分析面临重大挑战。因此,本研究以清香型白酒为模型,设计了一个高通量分析框架来应对这一挑战。该框架将单叠氮化丙锭(PMA)预处理技术与扩增子测序技术相结合。确定了最佳的PMA处理参数,包括浓度为50μM,在黑暗中孵育5分钟,然后进行5分钟的暴露孵育期。利用该方案,在酒醅样品中成功检测到8.71×10至1.47×10拷贝/μL的活微生物生物量。随后的扩增子测序分析揭示了未处理组和PMA处理组之间不同的微生物群落结构,相对丰度组成存在显著差异,特别是在通过LEfSe分析确定的优势物种如、、、、和中。本研究结果证实了PMA-扩增子测序技术在分析酒醅中活性微生物群落方面的有效性,并为研究各种传统发酵食品中的活性微生物群落提供了一个方法框架。该技术框架对于增进我们对传统发酵食品内在发酵机制的理解具有重要意义