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Updated: Jan 15, 2026

Imaging the Root Hair Morphology of Arabidopsis Seedlings in a Two-layer Microfluidic Platform

Imaging the Root Hair Morphology of Arabidopsis Seedlings in a Two-layer Microfluidic Platform

Published on: August 15, 2017

Computational Modeling of Plant Roots: Development Meets Physiology and Adaptation.

J A Saccheri¹, Kirsten Ten Tusscher^1,2

¹Theoretical Biology, Institute of Biodynamics and Biocomplexity (IBB), Department of Biology, Utrecht University, Utrecht, The Netherlands;

Annual Review of Plant Biology

|January 13, 2026

Summary

This summary is machine-generated.

Computational models are essential for understanding complex root development. Integrating growth, mechanics, and environmental factors reveals crucial insights beyond genetics.

Keywords:

computational modeling hormonal-genetic networks mechanical feedback physicochemical feedback root development

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Last Updated: Jan 15, 2026

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Area of Science:

Plant Biology
Computational Biology
Developmental Biology

Background:

Root development involves complex, multiscale patterning.
Computational models are vital for understanding these intricate processes.

Purpose of the Study:

To review influential computational models of root development.
To highlight future directions for integrated modeling.

Main Methods:

Review of existing literature on computational models in root development.
Discussion of multiscale and multiprocess integration.

Main Results:

Models have advanced understanding of root zonation, layering, and tropisms.
Models identify necessary and sufficient factors in development.

Conclusions:

Further integration of growth, mechanics, physiology, and physicochemical factors is critical.
Expanded models will improve explanatory power beyond genetics, incorporating cell size, nutrients, forces, pH, and ionic charge.