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A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability

Fig 3

Cell cycle noise and size control in daughter cells.

A. We plot the total number of cells in a “computational culture” of WT budding yeast as a function of time. The semilog plot clearly shows exponential increase of cell numbers. Lines of different colors represent repeat runs with the same initial conditions. The simulations were run with specific growth rate, μ = 0.007 min−1, representing glucose medium. Inset: scatter plot of the number doubling time of each computational culture. B and C. The average and CV (coefficient of variation) of some cell cycle properties for the computational cultures are correlated with experimental data [16]. D, E and F. Joint distributions of μTunbud with ln(Vbir) for three different growth media: μ = 0.007 min−1 (glucose), 0.00467 min−1 (galactose) and 0.00398 min−1 (glycerol-ethanol). Vbir is normalized by the average volume at budding (Vbud). Solid black circles are individual cells and colored circles are the average values of μTunbud over a small interval of ln(Vbir) (referred to as “binned data” points). Binned data points are fitted with straight lines, and the slopes of the fitted lines are given inside each plot. The slopes are characterized as large (red), intermediate (green), and small (blue), and they correspond to “strong”, “weak” and “no” size control, respectively.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1005230.g003