The links between dietary diversity and RNA virus diversity harbored by the great evening bat (Ia io)

Microbiome

Table 2 Summary of the optimal linear models

Model 1: Total virus diversity model; AICc = 48.73
Predictors	Estimate	Std. error	z value	Pr( >\|z\|)
(Intercept)	1.86	0.47	3.97	0.001	**
Prey diversity	1.34	0.50	2.67	0.017	*
Observations	18
R²/R² _adjusted	0.308/0.265
Model 2: Number of potential new virus model; AICc = 13.73
Predictors	Estimate	Std. error	z value	Pr( >\|z\|)
(Intercept)	2.27	0.85	2.56	0.01	*
Body mass	− 0.02	0.01	2.06	0.03	*
Prey diversity	0.38	0.19	1.84	0.06
Observations	18
R²/R² _adjusted	0.326/0.261
Model 3: Relative abundance of prey-related virus model; AICc = 21.45
Predictors	Estimate	Std. error	z value	Pr( >\|z\|)
(Intercept)	2.72	0.63	4.03	< 0.001	***
Bird prey	− 0.09	0.05	1.66	0.09
Insect prey	0.51	0.12	3.93	< 0.001	***
Observations	18
R²/R² _adjusted	0.647/0.613
Model 4: Relative abundance of Picornaviridae model; AICc = 63.66
Predictors	Estimate	Std. error	z value	Pr( >\|z\|)
(Intercept)	− 1.63	1.24	− 1.32	0.206
Prey diversity	3.55	1.07	3.33	0.005	**
Bird prey	0.61	0.16	3.81	0.002	**
Observations	18
R²/R² _adjusted	0.501/0.434

Prey diversity represents the diversity of prey hunted by I. io, which mainly includes insects and birds. Prey diversity was calculated as the Shannon index of each sample. Body mass represents the average weight of all I. io individuals included in each sample. Insect prey represents the relative abundance of insect prey in each sample. Bird prey represents the relative abundance of bird prey in each sample. The bold font in the table is used to highlight significant P-values
Significant: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1

ISSN: 2049-2618