Fig. 3

Multi-omics integration selects predictive targets of wild disease dynamics. a) PCA of skin metabolite profile of wild A. obstetricans populations b) volcano plot displaying differentially abundant metabolite features identified by univariate Wilcoxon’s test. c) Relevance networks produced by integration of microbiome and metabolome datasets using DIABLO for bacteria-metabolite interactions. A single network was identified that was indicative of epizootic dynamics based on the presence of taxa that were identified as enriched in the epizootic population from single omics analyses and their positive associations with epizootic metabolites. Bacteria are shown as diamonds and metabolites as circles. A positive correlation between nodes is indicated by red connecting lines, a negative correlation is shown by blue. Enzootic and epizootic enriched metabolites/bacteria have blue and red borders respectively. Sample sizes: Acherito n = 14, Lhurs n = 14, Puits n = 14, Arlet n = 14