Table 3.

The effect of two factors on expression variation stratified by the presence/absence of TATA box.

TATA dataset
variable	Ca_Na_exposure			Chemostat			Environmental Stress			Oxidative Stress
	β	p-value	R2	β	p-value	R2	β	p-value	R2	β	p-value	R2
x2	-0.1436	0.0024	1.95%	-0.0764	0.0034	1.81%	-0.0510	0.156	0.43%	0.0081	0.778	0.02%
x3	0.0312	5.4e-10	7.90%	0.0168	1.5e-09	7.50%	0.0283	2.6e-13	10.79%	0.0138	4.8e-06	4.37%
R2 (model)	9.47%			8.97%			11.09%			4.39%
Non-TATA dataset
variable	Ca_Na_exposure			Chemostat			Environmental Stress			Oxidative Stress
	β	p-value	R2	β	p-value	R2	β	p-value	R2	β	p-value	R2
x2	-0.0167	0.402	0.06%	-0.0026	0.8189	0.005%	0.0258	0.086	0.26%	0.0038	0.747	0.009%
x3	0.0502	< 2e-16	8.70%	0.0300	< 2e-16	9.56%	0.0468	< 2e-16	12.6%	0.0181	4.4e-10	3.40%
R2 (model)	8.85%			9.62%			12.67%			3.39%

The linear model that includes the toxicity degree (x2) and the number of TFs (x3) is built for each of the four gene expression datasets, respectively. R² is the variation explained by each independent factor and the model, respectively. β is the linear coefficient in the linear model, and the p-value is related to the null hypothesis that β ≠ 0 versus β = 0.