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. 2026 Jul 13;17:1850240. doi: 10.3389/fpls.2026.1850240

Figure 4.

Panel A displays a cluster dendrogram with colored bars representing module assignments from DynamicTreeCut and MergedDynamic algorithms. Panel B shows a correlation heatmap of module eigengenes with values ranging from negative to positive, including colored lines and thickness to indicate Pearson’s correlation coefficients and p-values, and an additional node labeled “Ph” connected to modules for correlation analysis.

Co-expression network analysis identifies gene modules associated with dicamba treatment. (A) Hierarchical clustering dendrogram of genes. The dendrogram was constructed using WGCNA based on topological overlap dissimilarity. Each colored row below the dendrogram represents a distinct co-expression module, with a total of 20 modules identified. The color is shown at the top. (B) Module-trait association heatmap. The heatmap displays correlation coefficients between module eigengenes and dicamba treatment time points (Control, 6h, 24h, 72h). Red indicates positive correlation, blue indicates negative correlation, and color intensity reflects the correlation strength. Asterisks denote statistical significance (*p < 0.05, **p < 0.01, ***p < 0.001). For the network diagram inset (if applicable), line width corresponds to Pearson’s correlation coefficient (thicker lines indicate stronger correlations), and line color represents the significance level (darker colors indicate higher significance). “Ph” in this paper represents the treatment and is used as an abbreviation for phenotype.