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Figure 1 | Microbiome

Figure 1

From: From meta-omics to causality: experimental models for human microbiome research

Figure 1

From association to causality. (A) Functional co-occurrence networks, established by the analysis of human microbial communities from healthy and diseased cohorts by meta-omic approaches are crucial to define dysbiotic states and to correlate individual microbial community members with disease. (B) In order to gain detailed information about microbial compositional changes and their associated impact on disease, high-throughput in vitro experimental systems are essential. In vitro co-culture approaches allow the confirmation or the rejection of hypotheses resulting from meta-omic data. (C) In order to causally link changes in microbial community structure or in their associated biomolecular patterns with specific diseases, gnotobiotic animal models are indispensable for in vivo validation. In all panels, triangles represent different biomolecules whereas color-coded circles represent different microbial taxa.

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