Figure 3

The relationship between clades and metadata in univariate analysis. The major metadata in the cohort were antibiotic use, inflammation, tissue (pouch or PPI), and outcome (AP, NP, CP, FAP, or CDL). Univariate linear discriminant analysis effect size analysis was performed on each of these variables. Antibiotic use was associated the greatest number of perturbations in the microbiome, causing broad decreases in the Clostridia, Bacteroides, Tenericutes, and Betaproteobacteria, and increases in the Lactobacilliales, Actinobacteria, and Gammaproteobacteria. Because the antibiotic effect size was very large and affected most clades, LDA effects for inflammation (ring 2), tissue types (ring 3), and outcomes (rings 4, 5, and 6) were calculated after stratifying for antibiotic use. Color intensity of ring corresponds to the taxonomic level at which the LDA effect is significant (P <0.05), from phylum (least intense) to genus (most intense).