統合学習による中国伝統種子生地の微生物学的複雑性の解読
Yan Liu1, Jinyu Wang1, Shiwei Zhou2
1School of Life Science, Shanxi University, Taiyuan 030006, China.
Abstract:
Sourdough fermentation relies on a dynamic microbial consortium of fungi and bacteria, shaped by interspecies interactions and environmental conditions. We analyzed the microbiota and physicochemical characteristics of 115 sourdough samples - including both 26 dry samples and 89 wet samples - collected across ten Chinese provinces, and used integrated learning approaches to correlate microbial composition with physicochemical properties, revealing associations that underpin fermentation outcomes and regional variation in community structure. In dry samples, Pediococcus pentosaceus(39.46 %)and Levilactobacillus brevis(11.02 %)dominated, whereas wet samples were dominated by Fructilactobacillus sanfranciscensis (51.27 %). Saccharomyces cerevisiae was recognized as a dominant and core yeast species (detected in over 50 % of all samples and ranking among the top 5 in any groups) in the sourdough microbiota. Saccharomycopsis fibuligera, Lactiplantibacillus plantarum and Leuconostoc mesenteroides were core bacterial species. Ensemble learning and abundance ranking identified rare taxa such as Dermacoccus nishinomiyaensis, Kodamaea ohmeri and Buckleyzyma phyllomatis that, despite their low abundance in the sourdough microbiota, showed significant correlations with physicochemical indices, although their functional roles remain uncharacterised. Microbial community structure correlated strongly with physicochemical conditions, including moisture content, pH and total acidity, underscoring the importance of considering these parameters when designing stable synthetic consortia for sourdough fermentation. This study provides foundational insights into the structure and function of sourdough microbiomes across diverse regions and sample types. By integrating microbiota data with physicochemical characteristics, we demonstrate the potential of machine learning to uncover key microbial-environment relationships. These findings support the rational design of stable, tailored starter cultures for improved sourdough fermentation.
関連する概念動画
Modern Molecular Taxonomy
Microbial Fermentation
Applications of Molecular Taxonomy
Methods of Classification and Identification


