Liu Mao-Ke, Tang Yu-Ming, Guo Xiao-Jiao, Zhao Ke, Penttinen Petri, Tian Xin-Hui, Zhang Xin-Yu, Ren Dao-Qun, Zhang Xiao-Ping
Institute of Rice and Sorghum Sciences, Sichuan Academy of Agricultural Sciences, Deyang, People's Republic of China
Institute of Rice and Sorghum Sciences, Sichuan Academy of Agricultural Sciences, Deyang, People's Republic of China.
mSystems. 2020 Mar 24;5(2):e00829-19. doi: 10.1128/mSystems.00829-19.
The Chinese alcoholic beverage strong-flavor baijiu (SFB) gets its characteristic flavor during fermentation in cellars lined with pit mud. Microbes in the pit mud produce key precursors of flavor esters. The maturation time of natural pit mud of over 20 years has promoted attempts to produce artificial pit mud (APM) with a shorter maturation time. However, knowledge about the molecular basis of APM microbial dynamics and associated functional variation during SFB brewing is limited, and the role of this variability in high-quality SFB production remains poorly understood. We studied APM maturation in new cellars until the fourth brewing batch using 16S rRNA gene amplicon sequencing, quantitative PCR, metaproteomics, and metabolomics techniques. A total of 36 prokaryotic classes and 195 genera were detected. and dominated consistently, and the relative abundance of decreased along with the APM maturation. Even though both amplicon sequencing and quantitative PCR showed increased abundance of , the levels of most of the proteins were similar in both the first- and fourth-batch APM samples. Six genera correlated with eight or more major flavor compounds in SFB samples. Functional prediction suggested that the prokaryotic communities in the fourth-batch APM samples were actively engaged in organic acid metabolism, and the detected higher concentrations of proteins and metabolites in the corresponding metabolic pathways supported the prediction. This multi-omics approach captured changes in the abundances of specific microbial species, proteins, and metabolites during APM maturation, which are of great significance for the optimization of APM culture technique. Strong-flavor baijiu (SFB) accounts for more than 70% of all Chinese liquor production. In the Chinese baijiu brewing industry, artificial pit mud (APM) has been widely used since the 1960s to construct fermentation cellars for production of high-quality SFB. To gain insights at the systems level into the mechanisms driving APM prokaryotic taxonomic and functional dynamics and into how this variation is connected with high-quality SFB production, we performed the first combined metagenomic, metaproteomic, and metabolomic analyses of this brewing microecosystem. Together, the multi-omics approach enabled us to develop a more complete picture of the changing metabolic processes occurring in APM microbial communities during high-quality SFB production, which will be helpful for further optimization of APM culture technique and improvement of SFB quality.
中国白酒中的浓香型白酒(SFB)在泥窖发酵过程中获得其独特风味。泥窖中的微生物产生风味酯的关键前体物质。20多年的天然泥窖成熟时间促使人们尝试生产成熟时间更短的人工窖泥(APM)。然而,关于APM在SFB酿造过程中微生物动态变化及其相关功能变异的分子基础的知识有限,而且这种变异性在优质SFB生产中的作用仍知之甚少。我们使用16S rRNA基因扩增子测序、定量PCR、宏蛋白质组学和代谢组学技术,研究了新窖中APM的成熟过程,直至第四批酿造。共检测到36个原核生物纲和195个属。 和 始终占主导地位,且 的相对丰度随着APM的成熟而下降。尽管扩增子测序和定量PCR均显示 的丰度增加,但第一批和第四批APM样品中大多数 蛋白的水平相似。六个属与SFB样品中的八种或更多主要风味化合物相关。功能预测表明,第四批APM样品中的原核生物群落积极参与有机酸代谢,并且在相应代谢途径中检测到的较高浓度的蛋白质和代谢物支持了这一预测。这种多组学方法捕捉了APM成熟过程中特定微生物物种、蛋白质和代谢物丰度的变化,这对于优化APM培养技术具有重要意义。浓香型白酒(SFB)占中国白酒总产量的70%以上。在中国白酒酿造行业,自20世纪60年代以来,人工窖泥(APM)已被广泛用于建造发酵窖池,以生产优质SFB。为了从系统层面深入了解驱动APM原核生物分类和功能动态变化的机制,以及这种变异如何与优质SFB生产相关联,我们对这个酿造微生态系统进行了首次宏基因组学、宏蛋白质组学和代谢组学的联合分析。总之,这种多组学方法使我们能够更全面地了解优质SFB生产过程中APM微生物群落中代谢过程的变化,这将有助于进一步优化APM培养技术并提高SFB质量。