Fig. 4: Dose-response curves to ciprofloxacin (CIP) of E. coli MG1655 (wildtype, WT), the BAC-tolerant S4 strain and their ompF knockouts. | npj Antimicrobials and Resistance

Fig. 4: Dose-response curves to ciprofloxacin (CIP) of E. coli MG1655 (wildtype, WT), the BAC-tolerant S4 strain and their ompF knockouts.

From: Consequences of benzalkonium chloride tolerance for selection dynamics and de novo resistance evolution driven by antibiotics

Fig. 4: Dose-response curves to ciprofloxacin (CIP) of E. coli MG1655 (wildtype, WT), the BAC-tolerant S4 strain and their ompF knockouts.

The y-axis shows the growth rate of the strains relative to the growth rate of the WT without CIP. The x-axis shows the CIP concentration on a logarithmic scale. The WT is represented in brown color, S4 in yellow, S4ΔompF in pink and WTΔompF in blue. The lines show a logistic fit of the data, fitting 3 parameters: upper limit, the half-maximal inhibitory concentration (EC50) and slope. The lower limit was fixed to 0. The shaded area represents the 95 % confidence interval according to the fit. The model showed a strong predictive potential across all strains with R2 = 0.96 and L2 = 0.998, indicating that no linear corrections are needed to fulfill its predictive potential. The predictive potentials for each curve individually are as follows: R2 = 0.99 and L2 = 0.999 for WT, R2 = 0.96 and L2 = 0.997 for S4; R2 = 0.90 and L2 = 0.98 for S4∆ompF; R2 = 0.92 and L2 = 0.99 for WT∆ompF. The MIC values of the used strains as measured here are WT: 0.005–0.01 µg∙mL−1(median=0.0075), S4: 0.04–0.08 µg∙mL−1(median=0.06), WTΔompF: 0.16–0.18 µg∙mL−1(median=0.17), S4ΔompF: 0.12–0.16 µg∙mL−1(median=0.14).

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