Independent component analysis recovers consistent regulatory signals from disparate datasets
Fig 4
iModulon activities capture the effects of mutations from adaptive evolution to multiple antibiotics.
(A) Bar chart of activities for the MarA/Rob iModulon. Individual points represent biological replicates. The heatmap below the bar chart shows the presence of mutations in the specified gene for the specified strain. Strain names are described in Lazar et al [34]. (B) Regulatory network for antibiotic resistance in E. coli. Black arrows indicate activation, and red arrows represent repression. Auto-regulation is not shown. (C) Bar chart of activities for the SoxS iModulon, similar to panel (A). Heatmap shows the presence of mutations in soxR. (D) Venn diagram showing the overlap of genes in the MarA/Rob iModulon and the SoxS iModulon. (E) Bar chart of activities for the RcsAB iModulon, similar to panel (A). Heatmap shows the presence of a genomic inversion. (F) Schematic illustration of the genomic inversion upstream of lon. The inversion decreases lon expression, resulting in longer residency times for MarA, SoxS, and RcsA.