The quality, flavor, and stability of fermented foods depend on the microbial community. However, microbial dynamics are difficult to observe directly, leading to limited control over fermentation. High-throughput sequencing is a revolutionary tool for microbial characterization, among which DNA-based amplicon and metagenomic sequencing are core techniques. Nevertheless, the related data processing workflows in the context of fermented foods have not yet been systematically summarized, hindering the translation of research findings into fermentation practices. This review clarifies the applications of amplicon and metagenomic sequencing in fermented foods. For amplicon sequencing, the impacts of target regions, data preprocessing, and reference databases are addressed. For metagenomic sequencing, sequencing strategies, read-based and binning-based analytical methods, functional annotation, and species-specific databases are discussed. In addition, major strategies for downstream analysis of community data are summarized, including microbial diversity, co-occurrence networks, niche and community assembly, key environmental drivers, and machine learning-based prediction. Amplicon sequencing efficiently reveals microbial succession during fermentation but has limitations in functional annotation. Metagenomic sequencing is notable for functional annotation, enabling the linkage between microbial communities and metabolic potential alongside community characterization. Standardized data preprocessing and specific databases are critical for improving characterization. For community data, integrated analysis allows uncovering the driving factors of microbial succession, thereby helping to regulate fermentation. Notably, the compositional nature of the data must be considered and validated to avoid spurious associations. In summary, the exponential growth of sequencing data will propel the era of precision fermentation.
Hao Zhou, Lijun Yan, Ling Zhang et al.· Food Research International· 0 citations
Efficient xylose bioconversion is limited by the catalytic performance of xylulokinase (XylB), which phosphorylates d-xylulose to xylulose-5-phosphate. This study aimed to improve XylB from Lactococcus lactis N8 using a multi-dimensional semi-rational design strategy integrating sequence conservation, structure-based screening, mutagenesis, molecular docking, and molecular dynamics simulations. Asn301 was identified as a key functional hotspot, and Met259 was found to modulate the active-site hydrophobic environment. Combinatorial mutagenesis generated two superior variants, XylBM259H/N301G and XylBM259H/N301H, with more than 200% higher specific activity than the wild-type XylB (XylBWT) while retaining stable expression and environmental adaptability. Mechanistic analyses showed strengthened ATP binding, improved d-xylulose positioning, enhanced ligand affinity, and balanced local flexibility with structural compactness. These findings provide efficient XylB variants and a transferable strategy for engineering lignocellulose-related enzymes.
Ya-Qian Ai, Tao Geng, Wen-Jie Chen et al.· Journal of Agricultural and...· 0 citations
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