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Table 3 The major topological properties of Frantoio and Picual co-occurrence networks

From: Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

Community No. of original OTUs Similarity threshold (St) Total nodes Total links Percentage of positive edges (PEP) R2 of power-law Avg connectivity (avgK) Avg path distance (GD) Avg clustering coefficient (avgCC) Modularity (M)
Fra EndoDNA_C 1299 0.81 278 767 95.44% 0.865 5.518 4.180* 0.253* 0.628 (22)*
Fra EndoDNA_Ino 1227 0.86 334 1669 94.73% 0.819 9.994 3.117* 0.289* 0.418 (37)*
Fra EndoRNA_C 1464 0.77 419 563 78.15% 0.847 2.687 7.051* 0.143* 0.827 (53)*
Fra EndoRNA_Ino 1406 0.87 486 723 66.80% 0.872 2.975 6.323* 0.150* 0.802 (55)*
Pic EndoDNA_C 1332 0.80 280 683 93.41% 0.868 4.879 4.746* 0.258* 0.637 (26)*
Pic EndoDNA_Ino 1149 0.81 337 732 83.61% 0.906 4.344 4.986* 0.248* 0.674 (37)*
Pic EndoRNA_C 1460 0.80 388 805 89.69% 0.944 4.149 4.155* 0.189* 0.609 (49)*
Pic EndoRNA_Ino 1393 0.94 412 503 69.78% 0.925 2.442 8.516* 0.140* 0.854 (51)*
Fra RhizoDNA_C 1850 0.84 530 999 90.89% 0.914 3.770 6.838* 0.179* 0.729 (71)*
Fra RhizoDNA_Ino 1829 0.82 748 871 85.65% 0.881 2.329 8.664* 0.097* 0.893 (136)*
Fra RhizoRNA_C 1871 0.85 616 864 94.21% 0.919 2.805 7.992* 0.174* 0.830 (89)*
Fra RhizoRNA_Ino 1857 0.91 212 172 94.19% 0.849 1.623 3.318* 0.123* 0.911 (70)*
Pic RhizoDNA_C 1850 0.83 595 1397 91.41% 0.891 4.696 5.095* 0.150* 0.608 (86)*
Pic RhizoDNA_Ino 1823 0.83 811 1086 87.48% 0.913 2.678 11.448* 0.157* 0.869 (121)*
Pic RhizoRNA_C 1871 0.84 730 1401 98.29% 0.892 3.838 8.042* 0.224* 0.776 (88)*
Pic RhizoRNA_Ino 1860 0.89 689 1004 88.94% 0.913 2.914 7.815* 0.180* 0.832 (97)*
  1. Significant p values (p < 0.022) between cultivars are shown in boldface. Asterisks indicate significant p values (p < 0.0005) between treatments (control versus inoculated). Pic Picual, Fra Frantoio, Endo root endosphere, Rhizo rhizosphere, C control; Ino inoculated with Verticillium dahliae. The brackets in Modularity values mean the number of modules in that network