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      Geometric Theory Predicts Bifurcations in Minimal Wiring Cost Trees in Biology Are Flat

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The complex three-dimensional shapes of tree-like structures in biology are constrained by optimization principles, but the actual costs being minimized can be difficult to discern. We show that despite quite variable morphologies and functions, bifurcations in the scleractinian coral Madracis and in many different mammalian neuron types tend to be planar. We prove that in fact bifurcations embedded in a spatial tree that minimizes wiring cost should lie on planes. This biologically motivated generalization of the classical mathematical theory of Euclidean Steiner trees is compatible with many different assumptions about the type of cost function. Since the geometric proof does not require any correlation between consecutive planes, we predict that, in an environment without directional biases, consecutive planes would be oriented independently of each other. We confirm this is true for many branching corals and neuron types. We conclude that planar bifurcations are characteristic of wiring cost optimization in any type of biological spatial tree structure.

          Author Summary

          Morphology is constrained by function and vice-versa. Often, intricate morphology can be explained by optimization of a cost. However, in biology, the exact form of the cost function is seldom clear. Previously, for many different natural trees authors have reported that most bifurcations are planar and we confirm this here for branching corals and mammalian neurons. In a three-dimensional space, where bifurcations can have many shapes, it is not clear why they are mostly planar. We show, using a geometric proof, that bifurcations that are part of an optimal wiring cost tree should be planar. We demonstrate this by proving that a bifurcation that is not planar cannot be part of an optimal wiring cost tree, using a very general form of wiring cost which applies even when the exact form of the cost function is not known. We conclude that nature selects for developmental mechanisms which produce planar bifurcations.

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          Most cited references48

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          Influence of dendritic structure on firing pattern in model neocortical neurons.

          Neocortical neurons display a wide range of dendritic morphologies, ranging from compact arborizations to highly elaborate branching patterns. In vitro electrical recordings from these neurons have revealed a correspondingly diverse range of intrinsic firing patterns, including non-adapting, adapting and bursting types. This heterogeneity of electrical responsivity has generally been attributed to variability in the types and densities of ionic channels. We show here, using compartmental models of reconstructed cortical neurons, that an entire spectrum of firing patterns can be reproduced in a set of neurons that share a common distribution of ion channels and differ only in their dendritic geometry. The essential behaviour of the model depends on partial electrical coupling of fast active conductances localized to the soma and axon and slow active currents located throughout the dendrites, and can be reproduced in a two-compartment model. The results suggest a causal relationship for the observed correlations between dendritic structure and firing properties and emphasize the importance of active dendritic conductances in neuronal function.
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            The Physiological Principle of Minimum Work: I. The Vascular System and the Cost of Blood Volume.

            C. Murray (1926)
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              The Fractal Geometry of Nature

              Clouds are not spheres, mountains are not cones, and lightning does not travel in a straight line. The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes. <br><br>Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. <i>The Fractal Geometry of Nature</i> is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, USA )
                1553-734X
                1553-7358
                April 2012
                April 2012
                12 April 2012
                27 April 2012
                : 8
                : 4
                : e1002474
                Affiliations
                [1 ]Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa, Japan
                [2 ]Mathematical Biology Unit, Okinawa Institute of Science and Technology, Okinawa, Japan
                [3 ]Section Computational Science, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands
                Indiana University, United States of America
                Author notes

                Conceived and designed the experiments: YK RS EDS. Performed the experiments: YK RS. Analyzed the data: YK. Contributed reagents/materials/analysis tools: YK RS NC JAK. Wrote the paper: YK RS JAK EDS.

                Article
                PCOMPBIOL-D-12-00069
                10.1371/journal.pcbi.1002474
                3325189
                22557937
                807579b9-dff2-41b0-b399-19c736704255
                Kim et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 11 January 2012
                : 28 February 2012
                Page count
                Pages: 7
                Categories
                Research Article
                Biology
                Computational Biology
                Computational Neuroscience
                Marine Biology
                Corals
                Neuroscience
                Neuroanatomy
                Plant Science
                Plants
                Trees
                Theoretical Biology
                Mathematics
                Geometry
                Euclidean Geometry
                Medicine
                Anatomy and Physiology
                Cardiovascular System
                Cardiovascular Anatomy

                Quantitative & Systems biology
                Quantitative & Systems biology

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