Metabolites contributing to Rhizoctonia solani AG-1-IA maturation and sclerotial differentiation revealed by UPLC-QTOF-MS metabolomics
Fig 2
Score plots derived from principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA).
(A): Score plots based on the first two components (PC1 vs PC2) derived from the PCA results. (B), (C) and (D): Score plots based on the first two latent components derived from the corresponding PLS-DA model for the three comparisons (G2 vs G1, G3 vs G1 and G3 vs G2). According to the paired comparison, the separation between every two groups was clear. The R2X, R2Y, Q2Y and RMSEE values in the PLS-DA models for groups G2 and G1 were 65.1%, 97.6%, 93.9% and 0.022, respectively. The R2X, R2Y, Q2Y and RMSEE values in the PLS-DA models for groups G3 and G1 were 71.7%, 98.9%, 97.1% and 0.012, respectively. The R2X, R2Y, Q2Y and RMSEE values in the PLS-DA models for groups G3 and G2 were 61.5%, 98.1%, 87.8% and 0.02, respectively. The ellipse for each group represented Hotelling’s T2 95% confidence interval.