Growing up and down the root

Abstract

Computational models are invaluable tools for understanding the hormonal and genetic control of root development. Thus far, models have focused on the crucial roles that auxin transport and metabolism play in determining the auxin signaling gradient that controls the root meristem. Other hormones such as cytokinins, gibberellins, and ethylene have predominantly been considered as modulators of auxin dynamics, but their underlying patterning mechanisms are currently unresolved. In addition, the effects of cell-and tissuelevel growth dynamics, which induce dilution and displacement of signaling molecules, have remained unexplored. Elucidating these additional mechanisms will be essential to unravel how root growth is patterned in a robust and self-organized manner. Models incorporating growth will thus be crucial in unraveling the underlying logic of root developmental decision making. HighlightsComputational models are an important tool in unraveling the complex patterning processes underlying root growth and development. They enable integrating processes playing out at different spatial and temporal scales, and allow for systematic variation of their components, enabling us to identify the core mechanisms driving patterning.