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Live Confocal Imaging of Developing Arabidopsis Flowers

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Computational Models of Auxin-Driven Patterning in Shoots.

Mikolaj Cieslak¹, Andrew Owens¹, Przemyslaw Prusinkiewicz¹

¹Department of Computer Science, University of Calgary, Calgary, Alberta T2N 1N4, Canada.

Cold Spring Harbor Perspectives in Biology

|May 18, 2021

Summary

Computational models aid in understanding plant development regulated by auxin. This review covers cellular, tissue, organ, and whole-plant models, highlighting efficient simulation techniques for studying plant growth and environmental responses.

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Area of Science:

Plant Biology
Computational Biology
Biophysics

Background:

Auxin is a key plant hormone regulating diverse developmental processes.
Experimental studies are complemented by computational models for understanding auxin's role.
Key processes include new outgrowth initiation, vascular patterning, branching, and environmental responses.

Purpose of the Study:

To review computational models of auxin's role in plant development.
To analyze models from cellular/tissue and organ/whole-plant perspectives.
To highlight techniques for efficient simulation of complex plant systems.

Main Methods:

Review of existing computational models.
Categorization of models by scale: cellular/tissue and organ/whole-plant.
Analysis of modeling approaches for auxin-plant interactions.

Main Results:

Cellular and tissue-level models provide insights into auxin transporter interactions and patterning.
Organ and whole-plant models utilize complexity reduction techniques for efficient simulation.
Models explore hypotheses related to new outgrowth and vascular strand patterning.

Conclusions:

Computational modeling is crucial for dissecting auxin-mediated plant development.
A multi-scale modeling approach offers comprehensive understanding.
Efficient simulation techniques are vital for advancing plant science research.