< Back to Article
Microtubule-based nucleation results in a large sensitivity to cell geometry of the plant cortical array
Fig 2
Simulation snapshots show that the new LDD microtubule-based nucleation yields much more homogeneous arrays than GDD microtubule-based nucleation.
(A-E) Simulation snapshots of a 
m2 square domain taken every 6000 s (100 min). Red thick ovals represent areas of inhomogeneity, orange dashed ovals intermediate areas, and green thin ovals areas where the array became homogeneous. Note the persistence of areas of inhomogeneity in the GDD case, compared to the transient inhomogeneity in the LDD and ISO cases. (F) Local density along the axis of a cylinder (L = 40 μm; R = 6 μm) in bins of 1 μm for tightly transversely oriented arrays. Five independent simulations per nucleation mode. Time increases from purple (start of simulation) to yellow (end). In these simulations, catastrophe rate values correspond to data points marked with large symbols in Fig 3, i.e., (LDD) rc = 0.00275 s−1, (GDD) rc = 0.003 s−1, (ISO) rc = 0.002 s−1. Density values are omitted from the axes for readability. Tic marks on the vertical axis represent density increments of 3 μm−1 for LDD and ISO and 40 μm−1 for GDD. All axes start at 0. Transverse arrays were randomly selected from a larger set of simulations with the sole criterion that the array orientation angle on the cylinder mantle 
([88.2°, 91.8°]).
doi: https://doi.org/10.1371/journal.pcbi.1013282.g002