910-The MIND Framework for Targeted Microbiome Alteration

This research introduces MIND (microbial interaction and niche determination), a computational framework that uses multitranslatomics to predict and manipulate microbial community dynamics. By measuring translational efficiency, the researchers can determine how microbes prioritize resource allocation, which serves as a direct readout for metabolic niche preferences and competitive interactions. This functional insight allows for the rational design of precision interventions, such as specific prebiotics or probiotics, to selectively alter the composition of complex microbiomes. The study validates this approach across diverse environments, including synthetic communities, soil, and human-associated systems, demonstrating high accuracy in both in vitro and in vivo settings. Ultimately, MIND moves microbiome science beyond descriptive correlations toward a mechanistic and predictive model for targeted ecological engineering.References:Moyne O, Norton G J, Al-Bassam M, et al. Predicting competition and substrate preferences for targeted microbiome alteration[J]. Cell, 2026.前往小宇宙评论区与主播互动