Fig. 2: Computational modeling of dominant microbial species within acclimated consortia.
From: Potentiators empower synthetic microbiomes as silent guardians against co-contamination
a Simulated relationship between growth time and biomass production in complete medium. Outliers (red dots) with excessive variability in growth time were excluded from the trend analysis (Student’s t-test, simple linear regression). b Relationship between total metabolic reactions and biomass production in complete medium (Student’s t-test, simple linear regression). c Relationship between the number of exchange reactions and biomass production in complete medium (Student’s t-test, simple linear regression). Comparative analysis of model-predicted biomass and experimentally observed relative abundance for the Top-50 species in the TC consortium (d), OTC consortium (e), and TC&OTC consortium (f ) (n = 3 biological independent replicates). Data are presented as mean values ± SEM. g Biomass production potential stratified by species rank: Top1-10, 11-30, and 31-50. Data are presented as mean values ± SEM. h Number of exchange reactions across ranking tiers. Data are presented as mean values ± SEM. i Topological analysis of species co-occurrence networks among the Top-50 species across all three acclimation conditions. Nodes represent species (ASVs), with node size proportional to its degree (number of connections). Edges represent statistically significant strong correlations (|r| ≥ 0.9, p ≤ 0.05) between species, with their color corresponding to the abundance rank category of the connecting nodes. The table below the network panels provides a summary of the key topological parameters for each of the three scenarios. TCs, TC&OTC. Data are presented as mean values ± SD. Source data for this figure is available in the Source data file.
