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Related Experiment Video

Updated: Apr 23, 2026

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

Stochasticity in plant cellular growth and patterning.

Heather M Meyer¹, Adrienne H K Roeder¹

¹Department of Plant Biology, Weill Institute for Cell and Molecular Biology, Cornell University Ithaca, NY, USA.

Frontiers in Plant Science

|September 25, 2014

Summary

Stochasticity in cell division, growth, and patterning, though seemingly random, is crucial for reproducible plant tissue development. Small random cell differences are amplified by feedback loops, initiating differentiation and ensuring organized organ formation.

Keywords:

Arabidopsis cell division development robustness variability

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Area of Science:

Plant biology
Developmental biology
Cellular biology

Background:

Multicellular organisms, including plants, possess specialized regulatory mechanisms for tissue growth and morphogenesis.
Developing tissues form specialized cell types and complex patterns essential for organ function.
Tissue growth is highly regulated, yet underlying cellular behaviors can be stochastic.

Purpose of the Study:

To explore the role of stochasticity in plant cell division, growth, and patterning.
To understand how stochasticity interacts with genetic regulation in reproducible tissue development.
To draw examples from plants and other systems to elucidate these processes.

Main Methods:

Review of existing literature on stochasticity in plant development.
Comparative analysis of stochastic processes in plant and non-plant systems.
Examination of cellular and molecular behaviors during tissue growth and patterning.

Main Results:

Stochasticity generates initial small differences between identical cells.
Genetic and mechanical feedback loops amplify and stabilize these differences.
This process initiates cell differentiation, leading to organized development.

Conclusions:

Stochasticity is not merely noise but an integral component of reproducible tissue development.
Feedback mechanisms are key to translating initial cellular stochasticity into predictable patterns.
Understanding stochasticity provides insights into fundamental principles of developmental biology.