State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China.
Suqian Industrial Technology Research Institute of Jiangnan University, Suqian, Jiangsu, China.
Appl Environ Microbiol. 2019 May 2;85(10). doi: 10.1128/AEM.03090-18. Print 2019 May 15.
Natural microbiota plays an essential role in flavor compounds used in traditional food fermentation; however, the fluctuation in natural microbiota results in inconsistency in food quality. Thus, it is critical to reveal the core microbiota for flavor compound production and to construct a synthetic core microbiota for use in constant food fermentation. Here, we reveal the core microbiota based on their flavor production and cooccurrence performance, using Chinese light-aroma-type liquor as a model system. Five genera, , , , , and , were identified to be the core microbiota. The synthetic core microbiota of these five genera presented a reproducible dynamic profile similar to that in the natural microbiota. A Monte Carlo test showed that the effects of five environmental factors (lactic acid, ethanol, and acetic acid contents, moisture, and pH) on the synthetic microbiota distribution were highly significant ( < 0.01), similar to those effects on a natural fermentation system. In addition, 77.27% of the flavor compounds produced by the synthetic core microbiota showed a similar dynamic profile (ρ > 0) with that in the natural liquor fermentation process, and the flavor profile presented a similar composition. It indicated that the synthetic core microbiota is efficient for reproducible flavor metabolism. This work established a method for identifying core microbiota and constructing a synthetic microbiota for reproducible flavor compounds. This work is of great significance for the tractable and constant production of various fermented foods. The transformation from natural fermentation to synthetic fermentation is essential in constructing a constant food fermentation process, which is the premise for stably making high-quality food. According to flavor-producing and cooccurring functions in dominant microbes, we provided a system-level approach to identify the core microbiota in Chinese light-aroma-type liquor fermentation. In addition, we successfully constructed a synthetic core microbiota to simulate the microbial community succession and flavor compound production in the system. The constructed synthetic core microbiota could not only facilitate a mechanistic understanding of the structure and function of the microbiota but also be beneficial for constructing a tractable and reproducible food fermentation process.
自然微生物群落对传统食品发酵中使用的风味化合物起着至关重要的作用;然而,自然微生物群落的波动导致了食品质量的不一致。因此,揭示产生风味化合物的核心微生物群落,并构建用于恒定食品发酵的合成核心微生物群落是至关重要的。在这里,我们以中国清香型白酒为模型系统,根据其风味产生和共同发生性能揭示核心微生物群落。确定了五个属、、、、和 是核心微生物群落。这五个属的合成核心微生物群落呈现出与自然微生物群落相似的可重复动态特征。蒙特卡罗检验表明,五种环境因素(乳酸、乙醇和乙酸含量、水分和 pH 值)对合成微生物群落分布的影响高度显著(<0.01),与对自然发酵系统的影响相似。此外,合成核心微生物群落产生的 77.27%的风味化合物表现出与自然白酒发酵过程相似的动态特征(ρ>0),且风味特征呈现出相似的组成。这表明合成核心微生物群落对可重复的风味代谢是有效的。这项工作建立了一种识别核心微生物群落和构建可重复产生风味化合物的合成微生物群落的方法。这对于各种发酵食品的可处理和恒定生产具有重要意义。从自然发酵到合成发酵的转变对于构建恒定的食品发酵过程至关重要,这是稳定生产高质量食品的前提。根据优势微生物的产风味和共同发生功能,我们提供了一种系统方法来识别中国清香型白酒发酵中的核心微生物群落。此外,我们成功构建了一种合成核心微生物群落,以模拟 系统中的微生物群落演替和风味化合物产生。构建的合成核心微生物群落不仅可以促进对微生物群落结构和功能的机制理解,还有利于构建可处理和可重复的食品发酵过程。