Fig. 5: Fluctuation of microbial metabolic functions within a day.
From: Daily fluctuation of colonic microbiome in response to nutrient substrates in a pig model
a Partial least square discriminant analysis (PLS-DA) score plots of the third-level KEGG pathways at different time points in a day. b The relative abundances of functional categories at first KEGG pathways. MET = Metabolism, GIP = Genetic information processing, EIP = Environmental information processing; CP = cellular processes; OS = organismal systems and HD = human diseases. TPM = Transcripts per million. c Dynamic changes in the relative abundance of metabolism at different time points in a day. # denotes significant daily fluctuation with a PAdj < 0.05. The rhythmicity analysis was finished by non-parametric JTK analysis with n = 5. TPM = Transcripts per million. d Bar chart exhibiting the percentage of the second-level KEGG pathways with rhythmicity of each metabolism category. e Heatmap depicting the relative abundance of the third-level KEGG pathways with daily fluctuation. The relative abundance was normalized using Z-score methods. Row group annotation information represents the second-level KEGG pathway category. f Pie chart showing the percentage of cyclical KEGG pathways at the third level. Dynamic changes in the relative abundance of carbohydrate metabolism (g), energy metabolism (h), lipid metabolism (i) and nucleotide metabolism (j) at the second KEGG pathways at different time points in a day. # denotes significant rhythmicity with a PAdj < 0.05. The rhythmicity analysis was finished by non-parametric JTK analysis with n = 5. All data were presented as mean ± s.d. TPM = Transcripts per million. Daily fluctuation of the microbial functions at the second-level KEGG pathways (k) and third-level KEGG pathways (l). The Red dashed line represents a Y-intercept (PAdj) of 0.05. The rhythmicity analysis was finished by non-parametric JTK analysis with n = 5. AMP represents the amplitude (transcripts per million).
