Quantifying the effect of environment stability on the transcription factor repertoire of marine microbes

Table 1 Multiple Regression results for single TFs.

TF (non-DBD)	Multiple regression model	R-squared	p-value
response_reg	temperature (p < 0.05) + phosphate (p < 0.01) + X2^2 (p < 0.05)	0.31	1.93E-03
peptidase_s24	temperature (p < 0.001)	0.34	1.67E-02
pro_dh	temperature (p < 0.001) + X1 (p < 0.01)	0.38	6.23E-02
Aldedh	temperature (p < 0.001) + X2 (p < 0.1)	0.46	3.78E-03
Sugar.bind	temperature (p < 0.001) + salinity (p < 0.01)	0.47	2.30E-03
Utra	temperature (p < 0.001)	0.49	1.06E-04
Tobe	temperature (p < 0.001) + salinity (p < 0.05) + silicate (p < 0.05) + X2 (p < 0.05)	0.56	1.22E-03
lysr_substrate	temperature (p < 0.001) + X2 (p < 0.001)	0.58	1.63E-05
TF (DBD)	Multiple regression model	R-squared	P-value
Laci	temperature (p < 0.001) + silicate (p < 0.05)	0.30	6.44E-04
Laci	temperature (p < 0.001) + phosphate (p < 0.05)	0.31	4.88E-04
Gntr	temperature (p < 0.001) + X2 (p < 0.05)	0.38	5.61E-02
penicillinase_r	temperature (p < 0.05) + salinity (p < 0.01) + phosphate (p < 0.01) + X2 (p < 0.05)	0.41	3.36E-04
hth_arac	temperature (p < 0.001) + X2 (p < 0.01)	0.41	1.87E-02
hth_6	temperature (p < 0.001) + phosphate (p < 0.05)	0.43	1.03E-05
hth_3	temperature (p < 0.001) + silicate (p < 0.1) + X2 (p < 0.01)	0.52	1.42E-03
tetr_n	temperature (p < 0.001) + X2 (p < 0.01)	0.54	1.10E-04
trp_repressor	temperature (p < 0.001) + phosphate (p < 0.1)	0.55	8.52E-08
Lyttr	temperature (p < 0.01) + silicate (p < 0.05) + X2 (p < 0.01)	0.57	2.22E-04
hth_1	temperature (p < 0.001) + salinity (p < 0.05) + X2 (p < 0.01)	0.60	5.65E-08

Only results with a goodness-of-fit value (multiple R-squared) above 0.3 (30% explained variation) are shown. The significance of each term in the linear model (p-value) is given next to it.