Fig. 2
Differences in food consumption lead to different microbiota configurations. a PCoA based on unweighted UniFrac distances of the faecal microbiota of 70 children at two time points, as shown in the centre of Fig. 1. The biplot of the average food coordinates weighted by frequency of consumption per sample was superimposed on the PCoA plot to identify the foods contributing to the ordination space (blue arrows). Only the food categories showing a highly significant correlation with the sample separation (p < 0.005, permutational correlation test) were displayed. Samples are coloured by subject group (C1–C4), as in Fig. 1. The black arrow at the bottom indicates the direction of the microbiota diversity gradient along PCo1. b Summary of the macronutrient intake, expressed as a percentage of kilocalories consumed per day, and fibre consumption, as grams of fibre intake per 1000 kilocalories consumed. Data are presented for each of the four microbiota groups. p value < 0.05 was indicated in the figure (**)
