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. 2022 Jan 6;38(6):1615–1623. doi: 10.1093/bioinformatics/btac003

Fig. 5.

Fig. 5.

Partial overlap between MIMOSA2 results and experimental inferences in honeybee gut microbiota. (A) Summary of experiments from Kešnerová et al. (2017) reanalyzed here. MIMOSA2 was applied to a dataset of 18 samples from community-colonized bees, and its results were compared with inferences from metabolomics of microbiota-depleted (germ-free) bees and bees monocolonized with individual bacterial strains. (B) Experimentally inferred microbial metabolites in 11-strain communities are significantly better predicted by MIMOSA2 than other metabolites. (C) MIMOSA2 identifies experimentally inferred microbial contributors with higher precision and recall than microbe–metabolite correlation analysis. (D) Metabolite-level comparison of experimentally inferred and MIMOSA2-inferred microbial key contributors. Cell color indicates a microbe’s contribution to variance in a metabolite as inferred by MIMOSA2; black dots indicate experimentally inferred contributors based on metabolomics of monocolonized samples. Metabolites shown are microbiome-governed as determined by the MIMOSA2 model. Ba, Bartonella apis; Bi, Bifidobacterium asteroides; F4, Lactobacillus Firm-4; F5, Lactobacillus Firm-5; Fp, Frischella perrara; Ga, Gilliamella apicola; Sa, Snodgrassella alvi