Unraveling Qu-aroma variation between inner and outer layers of medium-temperature Daqu: A multi-omics and sensory
Sheng-Bing Yang1, Zhen-Ming Lu2, Han-Jun Shen1
1Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, PR China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214122, PR China.
Abstract:
Solid-state fermentation heterogeneity causes microenvironmental differences, shaping diverse microbial communities and metabolite compositions. Here, we aimed to investigate the variations in Qu-aroma between the inner (I-) and outer (O-) layers of medium-temperature Daqu (MT-Daqu) starter, and to analyze the differences in microbial communities as well as the associated metabolic pathways related to Qu-aroma volatile organic compounds (VOCs). Firstly, quantitative descriptive analysis revealed that the I-layer exhibited intensified rancid-roasted notes, whereas the O-layer showed stronger grain and woody notes. Secondly, a total of 225 VOCs were identified from 88 inner and outer layer samples using HS-SPME-GC-MS, among which 43 differential VOCs were confirmed between the layers (VIP > 1, P < 0.05, and Fold change ≥1.5 or ≤0.67). Thin film (TF)-SPME-GC-O/MS revealed 52 and 47 odors with corresponding VOCs in the I- and O-layers, respectively. Subsequently, cross-referencing metagenomic and metabolic databases revealed that 37 aroma-active VOCs were functionally linked to six metabolic modules within the MT-Daqu microbial metabolic network. Finally, integrated metagenomic and amplicon sequencing identified potential functional microorganisms associated with specific metabolic modules. Five genera, including Kroppenstedtia and Thermomyces, were identified as characteristic of the I-layer, while 22 genera, such as Lactobacillus and Saccharomycopsis, were characteristic of the O-layer. Notably, Kroppenstedtia, Thermomyces, Lactobacillus, Saccharomycopsis, and Weissella were ubiquitously associated with all six metabolic modules across both layers of MT-Daqu. This study delivers a perspective for clarifying the spatial heterogeneity of Qu-aroma and its microbial drivers.
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