Microbiota composition predicts feed conversion grading.

This figure depicts the accuracy, as determined by AUC analysis of ROC curves, of the models built to predict high verses low feed conversion performance from the microbiome composition of Line A and B chickens (A, C, respectively). The top contributing OTU features of those models are shown for Line A and B in B and D, respectively. Taxonomic level for each OTU is displayed is genus unless otherwise noted. Phyla, class, order, and family levels are indicated as p, c, o, and f, respectively. Correlations of OTU abundance and continuous feed conversion scores, calculated using Kendall-Tau correlation, are indicated as high (teal, Tau coefficient 0.3), and no correlation (grey, Tau coefficient B and C.