A predatory myxobacterium controls cucumber Fusarium wilt by regulating the soil microbial community

Microbiome

Table 3 Correlation and topological properties of the microbiome networks

	Bacteria								Fungi
	NT	EGB	EGBFOC	FOC	M	R	15th day	27th day	NT + FOC	EGB + EGBFOC
Number of nodes^a	186	252	288	174	293	279	290	283	186	158
Number of edges^b	266	636	984	326	5669	2705	5195	4826	349	333
Positive edges^c	238	608	804	307	3899	2390	3546	3541	289	284
Negative edges^d	28	28	180	19	1770	315	1649	1285	60	49
Modularity^e	0.873	0.756	0.631	0.780	0.243	0.381	0.246	0.212	0.871	0.828
Number of community^f	39	32	29	34	19	15	21	21	29	25
Network diameter^g	7	7	19	7	11	11	9	10	7	7
Average path length^h	1.835	2.102	5.533	1.849	2.837	3.449	2.767	2.836	1.790	1.589
Average degreeⁱ	1.430	2.524	3.417	1.874	19.348	9.695	17.914	17.053	1.876	2.108
Average clustering coefficient^j	0.175	0.208	0.186	0.218	0.288	0.254	0.292	0.264	0.270	0.286
Density^k	0.008	0.010	0.012	0.011	0.066	0.035	0.062	0.060	0.010	0.013

Note: R, cucumber root surrounding soil samples; M, soil sampled from the site between the cucumber root and inoculation site; 15^th day, soils sampled on the 15^th day; 27^th day, soils sampled on the 27^th day; NT, no FOC or strain EGB solid culture; EGB, strain EGB solid culture only; EGBFOC, both FOC and EGB solid culture; FOC, FOC only
^aMicrobial taxa (at the genus level) with at least one significant (p < 0.001) and strong (r > 0.7 or ≤ 0.7) correlation. R language and corr.test() were used for correlation analysis
^bNumber of connections obtained by R language analysis (R 2017, ⁴version 3.5.3)
^cPositive correlation (> 0.7 with p < 0.01) between two microbial taxa
^dNegative correlation (≥ 0.7 with p < 0.01) between two microbial taxa
^eStructure with high-density connections between nodes (inferred by Gephi)
^fA community is defined as a group of nodes that are densely connected internally (Gephi)
^gThe longest distance between nodes in the network, measured in number of edges (Gephi)
^hAverage network distance between all pair of nodes or the average length of all edges in the network (Gephi)
ⁱThe average number of connections of every node in the network (Gephi)
^jThe average clustering coefficient is defined as the mean value of individual coefficients (Gephi)
^kThe density used to measures how close the network is to complete. A complete graph has all possible edges and density equal to 1 (Gephi)

ISSN: 2049-2618