Table 2. Logistic growth model parameters for the experimental data.

Logistic growth	BY4741			W303
Best-fit values	WT, empty vector	mak3∆, empty vector	mak3∆, HA-NAA30	WT, empty vector	mak3∆, empty vector	mak3∆, HA-NAA30
2% Glucose
YM	0.7947	0.7983	0.8035	0.8765	0.7887	0.8537
Y0	0.0026	0.0036	0.0021	0.0040	0.0049	0.0059
k (× 10−3)	10.5 ± 0.13	9.42 ± 0.11	10.8 ± 0.14	8.13 ± 0.11	8.19 ± 0.12	7.92 ± 0.10
3% Glycerol
YM	0.5265	0.5411	0.5307	0.2908	0.2942	0.2699
Y0	0.0224	0.0267	0.0323	0.0492	0.0430	0.0509
k (× 10−3)	1.51 ± 0.03	1.15 ± 0.02	1.39 ± 0.03	2.14 ± 0.08	1.55 ± 0.05	1.79 ± 0.05
2% Sodium acetate
YM	0.2892	0.2981	0.3046	0.2803	0.2876	0.286
Y0	0.0309	0.0355	0.0284	0.0312	0.0276	0.0325
k (× 10−3)	1.95 ± 0.03	1.29 ± 0.02	1.75 ± 0.03	3.08 ± 0.10	2.34 ± 0.05	2.50 ± 0.05
2% Raffinose
YM	0.5559	0.4944	0.5300	0.8624	0.8245	0.8368
Y0	0.0088	0.0065	0.0082	0.0252	0.0254	0.0207
k (× 10−3)	6.78 ± 0.10	6.69 ± 0.13	6.51 ± 0.12	4.87 ± 0.05	4.57 ± 0.04	4.87 ± 0.05
1 M NaCl
YM	0.7532	0.7598	0.7296	0.5120	0.4643	0.5005
Y0	0.0177	0.0191	0.0220	0.0192	0.0247	0.0215
k (× 10−3)	2.08 ± 0.03	1.71 ± 0.02	2.16 ± 0.02	3.13± 0.05	2.69 ± 0.04	3.10 ± 0.05

YM is the maximum population, Y0 is the starting population, k is the rate constant with SE.