TABLE 4.

Results of backward selection of generalized linear models using environmental variables, soil temperature (ST), soil water content (SWC), and principal component (PC) axes of soil chemical properties and plant traits, to explain the number of genera and gene copies, and sequencing counts for each cluster as identified by finite mixture modeling.

	ST (°C)		SWC (%)		Soil PC1		Plant PC1		D
	Coefficient	ΔD	Coefficient	ΔD	Coefficient	ΔD	Coefficient	ΔD
(A) Fungi
Number of genera	–	–	–	–	4.86	3.69	2.87	1.91	5.61
Number of gene copies	−2.21E + 07	5.26	−3.20E + 07	7.70	5.82E + 07	7.35	−2.04E + 07	2.09	22.40
Cluster 1	0.06	0.07	–	–	–	–	–	–	0.07
Cluster 2	1.16	2.15	–1.24	35.75	–0.60	0.66	2.13	13.17	51.73
Cluster 3	0.05	0.19	–	–	–0.05	0.09	–	–	0.27
Cluster 4	0.32	2.94	–	–	–0.25	0.04	–0.23	0.02	2.96
Cluster 5	–0.17	0.00	–	–	–0.33	0.54	–0.16	0.17	0.71
Cluster 6	–	–	–	–	–	–	–	–	–
Cluster 7	0.13	0.02	0.17	0.27	–	–	–	–	0.29
Cluster 8	–	–	–	–	–0.06	0.81	0.09	0.49	1.29
Cluster 9	–	–	–	–	–	–	–0.55	2.85	2.85
Cluster 10	–0.35	2.65	–	–	0.93	7.15	–0.74	3.89	13.70
(B) Bacteria
Number of genera	–	–	–31.06	17.20	19.95	2.67	15.27	6.95	26.82
Number of gene copies	−6.73E + 08	1.37	−3.45E + 09	16.08	3.23E + 09	2.73	–	–	20.18
Cluster 1	–	–	2.02	0.00	–1.86	10.71	0.47	1.54	12.25
Cluster 2	–	–	–	–	0.12	1.64	–0.03	0.06	1.70
Cluster 3	0.19	0.19	1.90	0.01	–1.70	12.02	0.57	0.00	13.39
Cluster 4	0.30	0.49	0.16	1.29	–0.18	0.14	0.45	1.51	3.43
Cluster 5	–	–	–0.09	0.00	0.07	0.16	–0.05	0.21	0.37
Cluster 6	0.23	1.18	–	–	–0.13	4.83	0.39	4.52	10.54
Cluster 7	0.51	1.59	–	–	0.09	3.77	0.87	11.07	16.42
Cluster 8	–0.04	0.37	0.11	1.40	0.09	0.09	–0.10	0.19	2.05
Cluster 9	0.48	1.23	–0.71	9.45	0.55	1.60	0.98	6.33	18.60
Cluster 10	–0.20	2.87	–	–	0.25	7.53	–0.36	3.75	14.15

D represents the percentage of explained deviance, and ΔD shows the explained deviance by each explanatory variable.