Literature DB >> 14871595

Smart network solutions in an amoeboid organism.

Toshiyuki Nakagaki1, Hiroyasu Yamada, Masahiko Hara.   

Abstract

We present evidence that the giant amoeboid organism, the true slime mold, constructs a network appropriate for maximizing nutrient uptake. The body of the plasmodium of Physarum polycephalum contains a network of tubular elements by means of which nutrients and chemical signals circulate through the organism. When food pellets were presented at different points on the plasmodium it accumulated at each pellet with a few tubes connecting the plasmodial concentrations. The geometry of the network depended on the positions of the food sources. Statistical analysis showed that the network geometry met the multiple requirements of a smart network: short total length of tubes, close connections among all the branches (a small number of transit food-sites between any two food-sites) and tolerance of accidental disconnection of the tubes. These findings indicate that the plasmodium can achieve a better solution to the problem of network configuration than is provided by the shortest connection of Steiner's minimum tree.

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Year:  2004        PMID: 14871595     DOI: 10.1016/S0301-4622(03)00189-3

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  17 in total

1.  Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium.

Authors:  Toshiyuki Nakagaki; Ryo Kobayashi; Yasumasa Nishiura; Tetsuo Ueda
Journal:  Proc Biol Sci       Date:  2004-11-07       Impact factor: 5.349

2.  Mathematical model for rhythmic protoplasmic movement in the true slime mold.

Authors:  Ryo Kobayashi; Atsushi Tero; Toshiyuki Nakagaki
Journal:  J Math Biol       Date:  2006-06-13       Impact factor: 2.259

3.  Structure and formation of ant transportation networks.

Authors:  Tanya Latty; Kai Ramsch; Kentaro Ito; Toshiyuki Nakagaki; David J T Sumpter; Martin Middendorf; Madeleine Beekman
Journal:  J R Soc Interface       Date:  2011-02-02       Impact factor: 4.118

4.  Flow-network adaptation in Physarum amoebae.

Authors:  Atsushi Tero; Kenji Yumiki; Ryo Kobayashi; Tetsu Saigusa; Toshiyuki Nakagaki
Journal:  Theory Biosci       Date:  2008-04-16       Impact factor: 1.919

5.  Deep evolutionary origins of neurobiology: Turning the essence of 'neural' upside-down.

Authors:  Frantisek Baluska; Stefano Mancuso
Journal:  Commun Integr Biol       Date:  2009

6.  Slime mold uses an externalized spatial "memory" to navigate in complex environments.

Authors:  Chris R Reid; Tanya Latty; Audrey Dussutour; Madeleine Beekman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-08       Impact factor: 11.205

7.  Stress signalling in acellular slime moulds and its detection by conspecifics.

Authors:  L Briard; C Goujarde; C Bousquet; A Dussutour
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-05-18       Impact factor: 6.237

8.  Biological solutions to transport network design.

Authors:  Daniel P Bebber; Juliet Hynes; Peter R Darrah; Lynne Boddy; Mark D Fricker
Journal:  Proc Biol Sci       Date:  2007-09-22       Impact factor: 5.349

Review 9.  Self-Organization and Information Processing: From Basic Enzymatic Activities to Complex Adaptive Cellular Behavior.

Authors:  Ildefonso M De la Fuente; Luis Martínez; Jose Carrasco-Pujante; Maria Fedetz; José I López; Iker Malaina
Journal:  Front Genet       Date:  2021-05-21       Impact factor: 4.599

10.  Attractor metabolic networks.

Authors:  Ildefonso M De la Fuente; Jesus M Cortes; David A Pelta; Juan Veguillas
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

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