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PubMed · 42705761

Spatially resolved multi-omics analysis of indigenous Bacillus-fortified high-temperature Daqu.

Abstract

Layer-dependent patterns associated with indigenous Bacillus fortification on high-temperature Daqu remain unclear. Here, six indigenous functional Bacillus strains were combined to fortify Daqu at three inoculation levels (QH4, QH5, QH6), with non-fortified as the control (CK). Upper, middle, and lower shelf-layer samples were profiled by physicochemical measurements, volatilomics, organic acid analysis, untargeted metabolomics, 16S/ITS amplicon sequencing, and metagenomics. PERMANOVA showed significant effects of treatment, spatial layer, and their interaction on physicochemical, volatile, bacterial, and fungal profiles (P = 0.001). Among the three inoculation levels, QH5 showed the most balanced performance: QH5_M exhibited the highest observed mean peak temperature (63.3 °C; +4.5 °C relative to CK_M), and its group-mean temperature remained ≥ 60 °C for seven consecutive days. Multi-omics analyses indicated coordinated, non-linear, and layer-dependent differences associated with indigenous Bacillus fortification, with QH5_M showing the most pronounced combined thermal, pyrazine, substrate, microbial, and predicted functional profile. These findings indicate that moderate indigenous Bacillus fortification was associated with distinct layer-dependent thermal and flavor profiles and coordinated microbial, metabolic, and predicted functional differences.

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BibTeXRIS

Hao Shi, Yuling Shen, Qingqing Ye, Hui Yu, Maoling Tian, Hongmei Wang, Yang Wei, Shiying Yan, Yiping Chen, Jie Zhang, Shu Li, Yang Yang, Jian Zhao. 2026-08-16. Spatially resolved multi-omics analysis of indigenous Bacillus-fortified high-temperature Daqu.. https://doi.org/10.1016/j.foodres.2026.120404

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