Table 1.
Omic Levels | Organism | Major Findings | Reference | Arrow in Figure 1 |
---|---|---|---|---|
Genome, microbial 16S | Mouse | 20 host genes are associated with microbiome composition | Suzuki et al. (2019) | 1 |
Genome, microbial 16S | Human | Genetic disposition for inflammatory bowel disease is associated with a reduction in abundance of the genus Roseburia in the gut microbiome | Imhann et al. (2018) | 1 |
Transcriptome, metagenome | Pill-bug (Armadillidium vulgare) | Potential collaboration between microbiota and pill-bug in degrading lignocellulose | Bredon et al. (2018) | – |
Proteome, microbial 16S | Mouse | Lack of the TLR5 protein increases Proteobacteria and decreases Bacteroidetes in microbiome and promotes gut inflammation | Carvalho et al. (2012) | 2 |
Metabolome, metagenome | Thale cress (Arabidopsis thaliana) | Beneficial rhizobacteria induce excretion of the metabolite scopoletin that stimulates iron uptake and suppresses soil-borne pathogens | Stringlis et al. (2018) | 3 |
Metametabolome, transcriptome | Human epithelial cells | Metabolism of microbiota-derived butyrate stabilizes the HIF transcription factor in human epithelial cells | Kelly et al. (2015) | 4 |
Metametabolome, transcriptome | Human epithelial cells | The presence of microbiota-derived indole stimulates the expression of host genes connecting to the formation of tight junctions with a resulting higher pathogen resistance | Bansal et al. (2010) | 4 |
Metametabolome, transcriptome | Mouse | Microbiota-derived indole controls expression of host miR-181 expression that regulates adiposity and insulin sensitivity | Virtue et al. (2019) | 4 |
Examples of studies considering different omic levels from hosts and associated microorganisms at different levels of resolution. When evidence of host-microbiota interactions are available numbers link the table to the corresponding interaction in Figure 1.