Modelling Fusobacterium lifestyles transitions by integrating transcriptomics and growth data
Highlights • Reconstructed and curated of the genome-scale metabolic model (GEM) of Fusobacterium nucleatum • Experimental data used to refine and validate the GEM, including biomass formulation with BOFdat (Biomass Objective Function from experimental data) • Integrated transcriptomic data to build context-specific metabolic models • Metabolic rewiring links F. nucleatum adaptation to colorectal cancer (CRC) context • Provides a systems framework to explore host-microbe metabolic interactions