Table 1

Estimates from single population experiments (experiment 1) of the intrinsic growth rate ( ψ ), maximum density ( K ), lag-phase ( λ ) and initial concentration (N0)
Parameter Value 95% confidence interval AICc*
Best fitting model -19.36
ψ 2.04 h-1 (1.95 – 2.14)
K 9.1 108 cfu/ml (8.0 108 – 10.4 108)
λ 102** 0.71 h (0.41 – 1.08)
λ 106*** 1.30 h (0.90 – 1.72)
N0 102** 0.8 102 cfu/ml (0.5 102 – 1.2 102)
N0 106*** 0.9 106 cfu/ml (0.5 106 – 1.6 106)
Full model -15.13
ψR 2.04 h-1 (1.95 – 2.14)
ψT 2.09 h-1 (2.00 – 2.19)
ψD 2.09 h-1 (2.00 – 2.19)
KR 10.7 108 cfu/ml (8.2 108 – 58.6 108)
KT 10.0 108 cfu/ml (7.0 108 – 14.3 108)
KD 7.6 108 cfu/ml (5.3 108 – 10.9 108)
λ 102** 0.71 h (0.41 – 1.08)
λ 106*** 1.28 h (0.89 – 1.70)
N0 102** 0.8 102 cfu/ml (0.5 102 – 1.2 102)
N0 106*** 0.9 106 cfu/ml (0.5 106 – 1.6 106)

*AICc = Akaike’s Information Criterion (AIC) corrected for a finite sample size n.

AICc = AIC + 2 k (k + 1)/(n-k-1), in which k is the number of parameters in the model.

**Estimate for experiments with a start culture of 102 cfu/ml.

***Estimate for experiments with a start culture of 106 cfu/ml.

The full model estimates different parameters ψ and K for each population (D, R or T) and different parameters λ and N0 based on the concentration of the start culture. The best fitting model was the one with different parameters for the initial concentration and lag-phase based on the concentration of the start culture, but with equal parameters for the other parameters of D, R and T.

Fischer et al.

Fischer et al. BMC Microbiology 2014 14:77   doi:10.1186/1471-2180-14-77

Open Data