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. 2022 Mar 30;8(13):eabj5362. doi: 10.1126/sciadv.abj5362

Fig. 4. Simulation of P. falciparum proliferation predicts slowing nuclear cycle dynamics.

Fig. 4.

(A) Nuclear lineage tree illustrating events of P. falciparum proliferation that were quantified in single parasites. S-phases depicted blue; nuclear cycles are defined as the total time from the start of an S-phase until the start of ensuing S-phases. Break indicates events that could not be individually resolved in the experiments. (B) The duration of the first and second nuclear cycles showed no correlation (Spearman’s ρ = 0.14, n = 58, P = 0.28); solid line, linear regression; band, bootstrapped 95% confidence interval. (C and D) Schematic illustrating how the duration of the first nuclear cycle affects the time needed to complete nuclear multiplication. (C) Timer mechanism with a set total time (red line) predicts no correlation. (D) Counter mechanism with a set total number of nuclei (green line) predicts a positive correlation. (E) Time-lapse imaging data showed a positive correlation between duration of first nuclear cycle and total time needed, i.e., time from start S1,1 to end of last S-phase (ρ = 0.42, n = 46, P = 0.0034), supporting a counter mechanism and contradicting a timer mechanism; blue solid line and band, linear regression and bootstrapped 95% confidence interval; red solid line, timer prediction; green solid line, counter prediction if all events were synchronous. (F) Mathematical model with slowing nuclear cycling dynamics (17% per cycle) fitted the experimental data best; solid lines, median; dashed lines, quartiles.