中温大曲发酵过程中微生物组演替的多组学研究

IF 2.6 Q2 FOOD SCIENCE & TECHNOLOGY
Yongqian Zhao, Yehui Han, Runjie Cao, Yan Xu and Xiaoqing Mu*, 
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引用次数: 0

摘要

传统中温大曲(mt -大曲)的生产很大程度上依赖于人工调节发酵参数,通过调节微生物群来影响大曲的功能特性和代谢产物。然而,这些参数影响的潜在机制仍然知之甚少。首先,根据理化和感官特征,特别是温度和酸度,将发酵过程分为5个不同的阶段。其次,采用多组学方法(宏基因组学、元转录组学和宏蛋白质组学)研究微生物演替、功能动力学和代谢途径中的关键酶活性。研究结果表明,大曲发酵经历了3个功能阶段:微生物增殖(0-8天)、微生物群重组(8-12天)和香气合成(12-32天)。值得注意的是,主要由乳酸菌合成的乳酸在有机酸谱中占主导地位,在第2天占67.427±0.128%。到第17天,真菌衍生酸(琥珀酸、苹果酸和乙酸)主要由Lichtheimia合成,占总有机酸的60.370±0.641%。这种酸优势的转变反映了微生物群落从细菌优势向真菌优势的转变。总的来说,本研究建立了一个多维分析框架来破译mt -大曲发酵微生物群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multiomics Insights into Microbiome Succession throughout Medium-Temperature Daqu Fermentation

Multiomics Insights into Microbiome Succession throughout Medium-Temperature Daqu Fermentation

The production of traditional medium-temperature Daqu (MT-Daqu) relies heavily on manual adjustments of fermentation parameters, which regulate microbiota to influence Daqu’s functional properties and metabolites. However, the mechanisms underlying the effects of these parameters remain poorly understood. First, the fermentation process was divided into 5 distinct stages based on physicochemical and sensory characteristics, particularly temperature and acidity. Second, multiomics approaches (metagenomics, metatranscriptomics, and metaproteomics) were employed to investigate microbial succession, functional dynamics, and key enzyme activity across metabolic pathways. Our findings demonstrated that Daqu fermentation progressed through 3 functional phases: microbial proliferation (days 0–8), microbiota restructuring (days 8–12), and aroma synthesis (days 12–32). Notably, lactic acid, primarily synthesized by lactic acid bacteria, dominated the organic acid profile initially, accounting for 67.427 ± 0.128% on day 2. By day 17, fungal-derived acids (succinic acid, malic acid, and acetic acid), mainly synthesized by Lichtheimia, became predominant, constituting 60.370 ± 0.641% of the total organic acids. This transition in acid dominance mirrored a microbial community shift from bacterial to fungal predominance. Collectively, this study establishes a multidimensional analytical framework for deciphering the MT-Daqu fermentation microbiome.

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CiteScore
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