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Fig. 1 | Microbiome

Fig. 1

From: Multi-omics profiles of the intestinal microbiome in irritable bowel syndrome and its bowel habit subtypes

Fig. 1

IBS is associated with global alterations in microbiome composition and function. A The Shannon index of microbial richness and evenness in fecal samples from IBS subjects and healthy controls (HC) is shown for 16S rRNA sequencing and metatranscriptomics data. B Beta diversity was assessed by Bray-Curtis dissimilarity for 16S rRNA sequence data, predicted metagenomics (PM), metatranscriptomics taxonomy (MT-T), and KEGG orthology transcript annotations (MT-KO). Euclidean distance was used for normalized metabolomics data (MET). Contribution of clinical and demographic traits to variation in these five datasets was determined by R2 calculated from univariate (left) and multivariate (right) PERMANOVA. R2 in the multivariate model reflects the remaining explained variance after accounting for the other variables. All PERMANOVA analyses included batch (sequencing or metabolomics) as a covariate. Significance of differences was calculated by permutation and is denoted by color. (C) Distance-based redundancy analysis (dbRDA) was performed to visualize variation in beta diversity related to IBS status, age, sex, race/ethnicity, BMI, dietary category, and HAD-Anxiety (HAD-A). IBS group and statistically significant categorical variables are denoted by letters or symbols indicating the centroid for each category. Statistically significant continuous variables are shown as arrows originating from the centroid of all samples, with length proportional to strength of association. F = female, M = male, A = Asian, B = African-American, H = Hispanic, W = non-Hispanic white, R = multiracial

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