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. 2021 Jan 27;12:609. doi: 10.1038/s41467-020-20873-y

Fig. 3. Model predictions for the processivity of FtsI directional movement modulated by FtsZ treadmilling speed.

Fig. 3

a Predicted relative propensity of FtsI persistent end-tracking as a function of FtsZ’s treadmilling speed. For each FtsZ treadmilling speed, 100 independent stochastic FtsI trajectories were simulated, from which the number of FtsI persistent end-tracking trajectories were counted. In line with our experimental measurements, the criteria for persistent end-tracking were as follows: (1) the distance between the FtsZ shrinking end and FtsI is less than 100 nm and (2) FtsI persistently follows the FtsZ shrinking end for greater than 4 s. A total of 664 out of 1000 simulated FtsI trajectories were scored as persistent end-tracking, and the number of trajectories at each FtsZ treadmilling speed was normalized as a relative probability of end-tracking. b Calculated phase diagram of FtsI persistent end-tracking characterized by FtsI diffusion constant and FtsZ treadmilling speed. c Predicted FtsZ treadmilling speed-dependence of the duration of FtsI persistent end-tracking. d Predicted FtsZ treadmilling speed-dependence of run distance of FtsI persistent end-tracking. The shaded regions emphasize the rise and decay of the maximum persistent run distance dependent on FtsZ’s treadmilling speed. For the model calculations in ad, the FtsZ–FtsI binding potential is set to be 10 kBT.