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If both traces are fitted with a simple competition model (assuming a single mutant fixation and a sufficiently high mutation rate to be able to neglect stochasticity due to bottlenecking the population, see Additional file 1), we find that the selection coefficient of the population growing without IPTG is more than 4 times larger than that of the population at 2 μM IPTG (s = 0.055 versus 0.013).
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Finally, in Figure 6 figure supplement 1, 2, we display random examples (10 per condition) of synaptic responses induced by 0.3 or 0.5M sucrose in the presence or absence of PDBu to show how well these traces are fitted by our model, which is also mentioned in "Fitting procedures and statistics".
Individual calcium recovery traces were fitted with single-exponential functions.
Summed and averaged traces were fitted to single exponential functions.
When the deviation was too large, traces were fitted again with new initial conditions until no further improvement of the fit was observed.
Data was collected for 20 min and time traces were fitted by a double-exponential equation to obtain rate constants (kobs1, kobs2) for heme loss of holo-LmCld.
Within this window, ∆ L and ∆ F traces were fitted by sinusoidal curves: ΔX = A X ⋅ sin(2 πft) + B X ⋅ cos(2 πft) + C X ⋅ t + D X, where X represents either L or F, f is perturbation frequency (100 Hz), t is time, and A, B, C and D were obtained through least-squares optimisation.
To measure time constants of activation and deactivation, traces were fit with a single exponential in pClamp.
The kinetic traces were fit with FitExp.
The loading traces were fit to a double-exponential equation.
The deactivation traces were fit with exponential equations containing one or two components using Clampfit 9.2.
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