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Minimizing the Elastic Energy of Growing Leaves by Conformal Mapping

Anna Dai and Martine Ben Amar
Phys. Rev. Lett. 129, 218101 – Published 16 November 2022
Physics logo See synopsis: A Conformal Map Model for Leaf Growth
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Abstract

During morphogenesis, the shape of living species results from growth, stress relaxation, and remodeling. When the growth does not generate any stress, the body shape only reflects the growth density. In two dimensions, we show that stress free configurations are simply determined by the time evolution of a conformal mapping which concerns not only the boundary but also the displacement field during an arbitrary period of time inside the sample. Fresh planar leaves are good examples for our study: they have no elastic stress, almost no weight, and their shape can be easily represented by holomorphic functions. The growth factor, isotropic or anisotropic, is related to the metrics between the initial and current conformal maps. By adjusting the mathematical shape function, main characteristics such as tips (convex or concave or sharp-pointed), undulating borders, and veins can be mathematically recovered, which are in good agreement with observations. It is worth mentioning that this flexible method allows us to study complex morphologies of growing leaves such as the fenestration process in Monstera deliciosa, and can also shed light on many other 2D biological patterns.

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  • Received 20 March 2022
  • Accepted 5 October 2022

DOI:https://doi.org/10.1103/PhysRevLett.129.218101

© 2022 American Physical Society

Physics Subject Headings (PhySH)

Physics of Living Systems

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A Conformal Map Model for Leaf Growth

Published 16 November 2022

Physicists have shown that a mathematical transformation called a conformal map can be used to predict how leaves grow.

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Authors & Affiliations

Anna Dai and Martine Ben Amar*

  • Laboratoire de Physique de l’Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France

  • *Corresponding author. benamar@phys.ens.fr

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Issue

Vol. 129, Iss. 21 — 18 November 2022

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