Beyond omics: From descriptive profiling to causal and scalable design of fermentation microbiomes

Information from the abstract

Fermentation microbiomes play essential roles in food production, feed preservation, waste valorization, and diverse sustainable industrial processes. Although multi-omics and systems biology have substantially advanced our understanding of their assembly, interactions, and functional dynamics, industrial translation remains constrained by fragmented datasets, limited causal validation, and transport constraints during scale-up. Large language models act as upper-level knowledge and workflow orchestrators, accelerating data integration, hybrid AI-mechanistic modeling, hypothesis generation, and perturbation-guided learning. Collectively, these advances enable fermentation microbiome research to move beyond descriptive omics toward mechanism-guided synthetic microbial community design, causal validation, and scalable biomanufacturing.

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This record has an Impact Signal of 71/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.

Related topics: Microbial Metabolic Engineering and Bioproduction · Probiotics and Fermented Foods · Gut microbiota and health