Table 2.

Field experiment gill score values predicted using partial least squares regression.

Group	GS 0	GS 1 Lesion	GS 1 Non-lesion	GS 2 Lesion	GS 2 Non-lesion	Treated Lesion	Treated Non-lesion
Predicted GS	0.14 ± 0.078	1.03 ± 0.419	−0.01 ± 0.089	2.09 ± 0.519	0.03 ± 0.102	−0.19 ± 0.029	0.05 ± 0.061

The model was constructed using the expression values of the genes that contributed most to the variability observed in components 1 and 2 of the PCA analyses shown in Figs 5 and 6 (muc5, muc18, muc2, il4/13a, il4/13b2 and tnfα3) as X variables, and gill score (GS) as Y variable. The in vivo challenge dataset served as the training set. Values show the mean (±SEM) predicted GS of the different field experiment sample groups.