Fig. 2

Global evaluation of RNA sequencing data obtained from in A. solani HWC-168. Principal component analysis (A) and heatmap showing differentially expressed genes (DEGs) (B). A. Principal component analysis (PCA) was performed to show the consistency between four biological replicates. The distance of each sample point represents the distance of the sample. The closer the distance is, the higher the similarity between the samples is. The horizontal axis represents the contribution of principal component 1 (PC1) to the identification of distinct samples, and the vertical axis represents the contribution of principal component 2 (PC2) to the identification of distinct samples; B. A correlation analysis was performed to determine the correlation between four biological replicates on the basis of Pearson correlation coefficients, and the numerical matrix is presented heatmap. The correlation is reflected by the colour change, and the colour depth represents the value of the Pearson correlation coefficients. The closer the Pearson correlation coefficients are to 1, the higher the similarity of the factors. The legend on the right shows the colour range of different Pearson correlation coefficients values. A sample cluster is shown on the left