Fig. 3
From: Boolean implication analysis unveils candidate universal relationships in microbiome data
Boolean implications reveal strong patterns in diverse biological and environmental conditions. Analysis of scatter plots with various experimental conditions using metadata files that provided additional information about the samples. Section 1: green represents environmental samples (plants, water, soil, etc.) and red indicates animal samples (humans, animals). a Polynucleobacter (145533) low → Candidatus Xiphinematobacter (786420) low; this relationship is only present in environmental microbiomes due to the lack of red samples in the plot. b Polynucleobacter (3071019) high → Bacteroides uniformis (197072) low; this relationship suggests Polynucleobacter is mainly present in the environment, and Bacteroides uniformis is mainly present in animals. Section 2: c and d have the same microbes on the axes Staphylococcus aureus (446058) and Corynebacterium (1000986), but different regions of the body plotted: skin (dark blue) and feces (green). c shows the relationship S. aureus low → Corynebacterium low holds for the skin region. d shows the relationship using fecal samples, and there is no clear relationship that can be determined from this. Section 3: Pink represents Crohn’s Disease (CD), teal represents Ulcerative Colitis (UC), and light gray represents neither disease. e The relationship Actinomyces (12574) high → Lachnospiraceae (4469576) low is shown, with higher counts of Lachnospiraceae in CD, and higher counts of Actinomyces in UC. f shows the relationship Streptococcus (4467992) high → Lachnospiraceae (4469576) low, with higher counts of Lachnospiraceae in CD, while higher counts of Streptococcus in UC. Section 4: Magenta represents eczema, blue represents psoriasis, and beige represents neither skin condition. g The relationship Acinetobacter johnsonii (4482374) low → Corynebacterium (361600) low is shown. Patients with psoriasis tend to have higher counts of Corynebacterium than patients with eczema. h The relationship Ruminococcaceae (4346675) high → Anaerococcus (927089) low is shown. Patients with psoriasis tend to have higher counts of Anaerococcus, while patients with eczema tend to have higher counts of Ruminococcaceae