Fig. 6: Time-delay model quantitatively predicts SA/V changes due to inhibiting cell-wall synthesis or protein translation.
a The model predicts that decreasing β results in decreased SA/V over time. Dashed box highlights the time scale tested in experiment. b Shape growth curves during A22 treatment in LB exhibited similar SA/V dynamics as predicted in a. c Shape growth curves with A22 treatment in M9 glucose also exhibited decreases in SA/V, even though SA/V remained largely constant without A22. Higher A22 concentrations also led to non-zero ∆t, indicating that cells must adjust their proteome under inhibition of cell-wall synthesis. d Shape growth curves for V. cholerae cell-wall synthesis mutants. Overexpression of WigR (pWigR, pWigRD78E), which upregulates cell wall synthesis without affecting growth, increased SA/V. By contrast, ∆wigR cells have downregulated cell-wall synthesis and exhibited lower SA/V. e The time-delay model predicts that higher Δt leads to lower SA/V in log phase, but higher SA/V when cells enter stationary phase again. f Shape growth curves of MG1655 cells treated with low levels of chloramphenicol. The dose-dependent SA/V dynamics were consistent with model predictions, and model fitting resulted in longer ∆t at higher doses. Data points in b, c, d, f are mean ± S.D., with n > 200 single cells in each condition. Solid lines in b, c, f are best fits to the time-delay model. Source data are provided as a Source Data file.
