Growing a Root from Its Genome : Emergent Tissue Layers and Zones in a GPU-Native Simulation of the Arabidopsis Root Tip

A GPU-native simulation that grows an Arabidopsis thaliana root tip from one genome produces a 3,000–4,500-cell root with layered tissues and a quiescent centre.

• Why it matters: Root-tip models usually assume cell identities and zones; this work tests whether gene expression plus spatial auxin cues can emergently generate tissue organization and stem-cell niches.
• What they did: In a 2D median section, every cell starts with the same 62-gene network and reads identities from gene expression while mechanical relaxation and auxin polarity cues drive growth over 48 simulated hours.
• The result: A pre-registered WOX5 gate keeps a quiescent centre to 48 h in 17 of 20 roots (85%), but it fails by 73 h (6 of 20, 30%) and mutants/niche regeneration show major limitations.

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