Fig. 2
From: Human liver microbiota modeling strategy at the early onset of fibrosis
Visualization of liver 16S rRNA gene sequences by principal component analyses according to countries and fibrosis scores. The 16S rRNA gene OTUs sequences were used as entries for a principal component analysis (PCA). PCA-biplot from package Factoextra and FactomineR of individuals for the first two principal components are shown. They sum up 10.0% of the total variance of the dataset. Patients were grouped by A, countries and fibrosis scores (shape and colour) and by B, fibrosis scores (green dots = F0, purple triangle = F1, blue square = F2). The vectors corresponding to the clinical variables are shown as arrows. C Barplot depicting the frequencies of liver microbial composition of each patient at the phylum level depending on their fibrosis stage or D as means of the phyla frequencies or E the family frequencies for the overall cohort (total) or according to the fibrosis scores (F0, F1, F2)