Extended Data Figure 4 : Viral protein cluster networks reveal potential marker genes for carbon export prediction at global scale.
From: Plankton networks driving carbon export in the oligotrophic ocean
a, A viral protein cluster (PC) network was built using abundances of PCs predicted from viral population contigs associated to carbon export (Fig. 2c) using the WGCNA methodology (see Methods) and correlated to classical oceanographic parameters. Two viral PC subnetworks (n = 1,879 and n = 2,147, N = 4,678, light and dark orange, VNET1 and VNET2, left and right panel respectively) are strongly associated to carbon export (VNET1: r = 0.75, P = 3 × 10−7 and VNET2: r = 0.91, P = 3 × 10−14). b, The viral PC subnetwork structures correlate to carbon export (VNET1 r = 0.91, P < 1 × 10−200, and VNET2 r = 0.96, P < 1 × 10−200). c, Size of dots is proportional to the VIP score computed for the PLS regression. d, Viral PC subnetworks predict carbon export. PLS regression was used to predict carbon export using abundances of viral protein clusters (PCs) in selected subnetworks. LOOCV was performed and VIP scores computed for each PC. Light orange subnetwork (VNET1, left panel) PCs predict carbon export with a R2 of 0.55. Dark orange subnetwork (VNET2, right panel) PCs predict carbon export with a R2 of 0.89.
