Multi-scaled adaptability in motility and pattern formation of the Physarum plasmodium

The plasmodium of Physarum polycephalum is a unicellular and multinuclear giant amoeba that has macroscopic size, and by this particular nature the organism is attracting a lot of attention in the research fields such as systems science, nature-inspired bio-computing and swarm behavioural study. In this paper, we investigated how the plasmodium generates new motility and morphology, and found that there are allometric relationships between the cell volume and morphology, and between cell size and cell motility. We further discuss how these relationships are realised, and these relationships are deeply connected to the organism's benefit of being a large-scale unicellular organism.

[1]  H. Levine,et al.  Bacterial linguistic communication and social intelligence. , 2004, Trends in microbiology.

[2]  Werner Baumgarten,et al.  Plasmodial vein networks of the slime mold Physarum polycephalum form regular graphs. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  A. Tero,et al.  Rules for Biologically Inspired Adaptive Network Design , 2010, Science.

[4]  H. Arnstein.  The molecular biology of the cell : B. Alberts, D. Bray, J. Lewis, M. Raff, K. Roberts and J.D. Watson Garland Publishing; New York, London, 1983 xxxix + 1181 pages. $33.95 (hardback); $27.00, £14.95 (paperback, only in Europe) , 1986 .

[5]  Y. Gunji,et al.  Emergence of morphological order in the network formation of Physarum polycephalum. , 2007, Biophysical chemistry.

[6]  T. Nakagaki,et al.  Smart behavior of true slime mold in a labyrinth. , 2001, Research in microbiology.

[7]  Toshiyuki Nakagaki,et al.  Flow-network adaptation in Physarum amoebae , 2008, Theory in Biosciences.

[8]  Y. Nishiura,et al.  Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[9]  T. Nakagaki,et al.  Smart network solutions in an amoeboid organism. , 2004, Biophysical chemistry.

[10]  E. Ben-Jacob,et al.  Adaptive self-organization during growth of bacterial colonies , 1992 .

[11]  A. Tero,et al.  A mathematical model for adaptive transport network in path finding by true slime mold. , 2007, Journal of theoretical biology.

[12]  Tomohiro Shirakawa,et al.  On Simultaneous Construction of Voronoi Diagram and Delaunay Triangulation by Physarum polycephalum , 2009, Int. J. Bifurc. Chaos.

[13]  J Sampson,et al.  Cell patterning in migrating slugs of Dictyostelium discoideum. , 1976, Journal of embryology and experimental morphology.

[14]  G. Parisi,et al.  Scale-free correlations in starling flocks , 2009, Proceedings of the National Academy of Sciences.

[15]  W. Camp,et al.  A Method of Cultivating Myxomycete Plasmodia , 1936 .

[16]  J. Deneubourg,et al.  Self-organized shortcuts in the Argentine ant , 1989, Naturwissenschaften.

[17]  Atsuko Takamatsu,et al.  Environment-dependent morphology in plasmodium of true slime mold Physarum polycephalum and a network growth model. , 2009, Journal of theoretical biology.

[18]  T. Nakagaki,et al.  Intelligence: Maze-solving by an amoeboid organism , 2000, Nature.

[19]  Toshiyuki Nakagaki,et al.  Physarum solver: A biologically inspired method of road-network navigation , 2006 .

[20]  Tomohiro Shirakawa,et al.  Computation of Voronoi Diagram and Collision-free Path using the Plasmodium of Physarum polycephalum , 2010, Int. J. Unconv. Comput..

[21]  T. Nakagaki,et al.  Path finding by tube morphogenesis in an amoeboid organism. , 2001, Biophysical chemistry.