Figure 7

Difference set correlation-based networks of Ain1 and Osl1. Network visualization of pairwise correlations of metabolites and lipids. The Pearson correlation was used to estimate correlation coefficients. Threshold tests for correlation coefficients (r) and p-values were applied to detect significant correlations. Thresholds were set tor r ≥ 0.8 and q of ≤0.05. Spurious correlations were removed, while significant correlations were transformed into network form. Differences between networks can be determined using set theory, were the differences sets highlight nodes and edges specific to a network. Metabolites are displayed as elliptical nodes and color-coded according to the compound classification; lipids are displayed as yellow elliptical nodes. Positive correlations are illustrated as blue edges, negative correlations as red edges. Communities in the networks were determined by the walktrap community-detecting algorithm. (a) B. sylvaticum Ain1 ⊄ Osl1 difference correlation network; (b) B. sylvaticum Osl1 ⊄ Ain1 difference correlation network.