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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Jensen, Olivier E.
University of Manchester
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2023Surfactant amplifies yield-stress effects in the capillary instability of a film coating a tubecitations
- 2012A model of crosslink kinetics in the expanding plant cell wall: Yield stress and enzyme actioncitations
- 2012Multiscale systems analysis of root growth and development: modeling beyond the network and cellular scalescitations
- 2009An asymptotic analysis of the buckling of a highly shear-resistant vesiclecitations
- 2004Sliding, slipping and rolling: The sedimentation of a viscous drop down a gently inclined planecitations
- 2004The motion of a viscous drop through a cylindrical tubecitations
Places of action
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article
Multiscale systems analysis of root growth and development: modeling beyond the network and cellular scales
Abstract
Over recent decades, we have gained detailed knowledge of many processes involved in root growth and development. However, with this knowledge come increasing complexity and an increasing need for mechanistic modeling to understand how those individual processes interact. One major challenge is in relating genotypes to phenotypes, requiring us to move beyond the network and cellular scales, to use multiscale modeling to predict emergent dynamics at the tissue and organ levels. In this review, we highlight recent developments in multiscale modeling, illustrating how these are generating new mechanistic insights into the regulation of root growth and development. We consider how these models are motivating new biological data analysis and explore directions for future research. This modeling progress will be crucial as we move from a qualitative to an increasingly quantitative understanding of root biology, generating predictive tools that accelerate the development of improved crop varieties. © 2012 American Society of Plant Biologists. All rights reserved.