A BRC1-modulated switch in auxin efflux accounts for the competition between Arabidopsis axillary buds
Fig 9
Model predictions for SIPpin1 bud activation dynamics largely match experimental data.
(A) and (D) Heatmaps of the number of lag days and maximum growth rate from the (v0, µ) slice used previously (Fig 4), with parameter values for genotypes and treatments from Fig 5A and 6A in black (left); and (v0, µ) slice at a 20% lower value of parameter S to account for the lower bulk auxin transport in SIP1pin1 lines, with the predicted parameter values for SIP1pin1 lines shown in green. Heatmaps are obtained by calculating the number of lag time steps or maximum growth rate for 25,281 combinations of parameters v0 and μ (159 × 159 grid). (B) and (E) Predictions for the lag time steps and maximum growth rate for genotypes and treatments using the parameter values in A and D, each obtained from 100 simulations run for 120 time steps. (C) and (F) Experimentally determined number of lag days and maximum growth rate calculated from 2-node explants in Fig 8B, where bud length was measured over 12 days, or 19 days for smxl678 and SIP1pin1smxl678, n = 12–80. The percentage of active explants is calculated as the percentage of explants with at least one active bud, n = 43–96. Letters indicate statistically significant differences at p < 0.05 obtained from multi-level models with Bonferroni corrections. Data and scripts of simulations underlying this figure can be found at https://doi.org/10.17863/CAM.120831.
doi: https://doi.org/10.1371/journal.pbio.3003395.g009