Parallel Processing Letters · 2009 · 126 citations · 14 references
Life SciencesBiologyEcologyNetwork BiologyParasite EcologyProtozoologyFood Web StructureHost-parasite NetworksNetwork ConnectivitySpatial Network StructureDelaunay Triangulation AlgorithmsHierarchyHost-parasite Interaction NetworksMacroparasite NetworksParasite-host NetworksProximityProximity GraphsSpanning Tree Construction
Plasmodium of Physarum polycephalum spans sources of nutrients and constructs varieties of protoplasmic networks during its foraging behavior. When the plasmodium is placed on a substrate populated with sources of nutrients, it spans the sources with protoplasmic network. The plasmodium optimizes the network to deliver efficiently the nutrients to all parts of its body. How exactly does the protoplasmic network unfold during the plasmodium's foraging behavior? What types of proximity graphs are approximated by the network? Does the plasmodium construct a minimal spanning tree first and then add additional protoplasmic veins to increase reliability and through-capacity of the network? We analyze a possibility that the plasmodium constructs a series of proximity graphs: nearest-neighbour graph (NNG), minimum spanning tree (MST), relative neighborhood graph (RNG), Gabriel graph (GG) and Delaunay triangulation (DT). The graphs can be arranged in the inclusion hierarchy (Toussaint hierarchy): NNG ⊆ MST ⊆ RNG ⊆ GG ⊆ DT . We aim to verify if graphs, where nodes are sources of nutrients and edges are protoplasmic tubes, appear in the development of the plasmodium in the order NNG → MST → RNG → GG → DT , corresponding to inclusion of the proximity graphs.
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Maze-solving by an amoeboid organism
Toshiyuki Nakagaki, Hiroyasu Yamada, Ágota Tóth · Nature · 2000 · 1K citations · Full text
Life Sciences, Biology, Zoology +4