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      Mechanochemical Symmetry Breaking in Hydra Aggregates

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          Abstract

          Tissue morphogenesis comprises the self-organized creation of various patterns and shapes. Although detailed underlying mechanisms are still elusive in many cases, an increasing amount of experimental data suggests that chemical morphogen and mechanical processes are strongly coupled. Here, we develop and test a minimal model of the axis-defining step (i.e., symmetry breaking) in aggregates of the Hydra polyp. Based on previous findings, we combine osmotically driven shape oscillations with tissue mechanics and morphogen dynamics. We show that the model incorporating a simple feedback loop between morphogen patterning and tissue stretch reproduces a wide range of experimental data. Finally, we compare different hypothetical morphogen patterning mechanisms (Turing, tissue-curvature, and self-organized criticality). Our results suggest the experimental investigation of bigger (i.e., multiple head) aggregates as a key step for a deeper understanding of mechanochemical symmetry breaking in Hydra.

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          Biological pattern formation: from basic mechanisms to complex structures

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            Pattern formation by local self-activation and lateral inhibition.

            In 1972, we proposed a theory of biological pattern formation in which concentration maxima of pattern forming substances are generated through local self-enhancement in conjunction with long range inhibition. Since then, much evidence in various developmental systems has confirmed the importance of autocatalytic feedback loops combined with inhibitory interaction. Examples are found in the formation of embryonal organizing regions, in segmentation, in the polarization of individual cells, and in gene activation. By computer simulations, we have shown that the theory accounts for much of the regulatory phenomena observed, including signalling to regenerate removed parts. These self-regulatory features contribute to making development robust and error-tolerant. Furthermore, the resulting pattern is, to a large extent, independent of the details provided by initial conditions and inducing signals. Copyright 2000 John Wiley & Sons, Inc.
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              A theory of biological pattern formation.

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                Author and article information

                Contributors
                Journal
                Biophys J
                Biophys. J
                Biophysical Journal
                The Biophysical Society
                0006-3495
                1542-0086
                05 May 2015
                05 May 2015
                : 108
                : 9
                : 2396-2407
                Affiliations
                [1 ]Institute of Applied Mathematics, University of Heidelberg, Heidelberg, Germany
                [2 ]BioQuant, University of Heidelberg, Heidelberg, Germany
                [3 ]Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany
                Author notes
                []Corresponding author mmercker_bioscience@ 123456gmx.de
                Article
                S0006-3495(15)00294-5
                10.1016/j.bpj.2015.03.033
                4423050
                25954896
                86199424-2ae9-45eb-9de2-40c2920720c7
                © 2015 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

                History
                : 10 November 2014
                : 20 March 2015
                Categories
                Systems Biophysics

                Biophysics
                Biophysics

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