Lab of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, China.
Sichuan Langjiu Group Co., Ltd., Luzhou 610213, China.
Int J Food Microbiol. 2025 Jan 2;426:110933. doi: 10.1016/j.ijfoodmicro.2024.110933. Epub 2024 Oct 9.
In almost all environments, microbial interaction is shaped by differences in environmental microbial transport, resulting in synergistic or antagonistic effects among community members. Unfortunately, the current understanding of how environmental microbiota affect spontaneous fermentation is very limited. Here, we selected Daqu workshops with different usage times (named X (60 years), Y (10 years), and Z (0 year)) as research model. The microbial contribution of raw material and environments to the microbiota of Daqu fermentation among workshops was compared, raw material microbiota contributed more bacterial genera (44.70 %-73.56 %) to the fermentation, and environmental microbiota contributed more fungal genera (10.09 %-99.76 %) to the fermentation. The deterministic assembly ratio and interaction intensity of workshop X were the highest, followed by Y and Z. We analyzed the relationship between environmental microbiota, fermentation microbiota, fermentation characteristics and flavor compounds. Environmental microbiota negatively drove the microbial diversity during fermentation (path coefficient = -1, P = 0.004), and further indirectly affected the community dynamics and assembly (path coefficient = -0.990, P < 0.001). Finally, community dynamics and assembly drove flavor compound diversity (path coefficient = 0.923, P < 0.001), it indicated the positive effect of environmental microbiota on flavor compound diversity. This work will help to understand the relationship between environmental microbiota and fermentation quality, supporting quality improvement of spontaneously fermented food in new workshop.
在几乎所有的环境中,微生物的相互作用都是由环境中微生物的传输差异所塑造的,这导致了群落成员之间的协同或拮抗作用。不幸的是,目前对于环境微生物群如何影响自发发酵的理解非常有限。在这里,我们选择了使用时间不同的大曲车间(分别命名为 X(60 年)、Y(10 年)和 Z(0 年))作为研究模型。比较了原料和环境对大曲发酵过程中微生物群落的贡献,发现原料微生物群更多地贡献了细菌属(44.70%-73.56%)到发酵中,而环境微生物群更多地贡献了真菌属(10.09%-99.76%)到发酵中。X 车间的确定性组装比例和相互作用强度最高,其次是 Y 和 Z。我们分析了环境微生物群、发酵微生物群、发酵特性和风味化合物之间的关系。环境微生物群在发酵过程中对微生物多样性产生负面影响(路径系数=-1,P=0.004),并进一步间接影响群落动态和组装(路径系数=-0.990,P<0.001)。最后,群落动态和组装驱动风味化合物多样性(路径系数=0.923,P<0.001),这表明环境微生物群对风味化合物多样性有积极影响。这项工作将有助于理解环境微生物群与发酵质量之间的关系,支持新车间中自然发酵食品的质量改进。