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Linear stability analysis of morphodynamics during tissue regeneration in plants

Anne-Mieke Reijne, Gunnar Pruessner, Giovanni Sena
doi: https://doi.org/10.1101/350884
Anne-Mieke Reijne
1Department of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom
2Centre for Complexity Science, Imperial College London, London SW7 2AZ, United Kingdom
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Gunnar Pruessner
1Department of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom
2Centre for Complexity Science, Imperial College London, London SW7 2AZ, United Kingdom
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Giovanni Sena
3Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
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Abstract

One of the key characteristics of multicellular organisms is the ability to establish and maintain shapes, or morphologies, under a variety of physical and chemical perturbations. A quantitative description of the underlying morphological dynamics is a critical step to fully understand the self-organising properties of multicellular systems. Although many powerful mathematical tools have been developed to analyse stochastic dynamics, rarely these are applied to experimental developmental biology.

Here, we take root tip regeneration in the plant model system Arabidopsis thaliana as an example of robust morphogenesis in living tissue, and present a novel approach to quantify and model the relaxation of the system to its unperturbed morphology. By generating and analysing time-lapse series of regenerating root tips captured with confocal microscopy, we are able to extract and model the dynamics of key morphological traits at cellular resolution. We present a linear stability analysis of its Markovian dynamics, with the stationary state representing the intact root in the space of morphological traits. We find that the resulting eigenvalues can be classified into two groups, suggesting the co-existence of two distinct temporal scales during the process of regeneration.

We discuss the possible biological implications of our specific results, and suggest future experiments to further probe the self-organising properties of living tissue.

Footnotes

  • Email: g.sena{at}imperial.ac.uk

  • ‡ Here and in the following the subscript u and c refer to uncut and cut roots respectively.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted June 20, 2018.
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Linear stability analysis of morphodynamics during tissue regeneration in plants
Anne-Mieke Reijne, Gunnar Pruessner, Giovanni Sena
bioRxiv 350884; doi: https://doi.org/10.1101/350884
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Linear stability analysis of morphodynamics during tissue regeneration in plants
Anne-Mieke Reijne, Gunnar Pruessner, Giovanni Sena
bioRxiv 350884; doi: https://doi.org/10.1101/350884

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