Literature DB >> 18929578

Environment-dependent morphology in plasmodium of true slime mold Physarum polycephalum and a network growth model.

Atsuko Takamatsu1, Eri Takaba, Ginjiro Takizawa.   

Abstract

Branching network growth patterns, depending on environmental conditions, in plasmodium of true slime mold Physarum polycephalum were investigated. Surprisingly, the patterns resemble those in bacterial colonies even though the biological mechanisms differ greatly. Bacterial colonies are collectives of microorganisms in which individual organisms have motility and interact through nutritious and chemical fields. In contrast, the plasmodium is a giant amoeba-like multinucleated unicellular organism that forms a network of tubular structures through which protoplasm streams. The cell motility of the plasmodium is generated by oscillation phenomena observed in the partial bodies, which interact through the tubular structures. First, we analyze characteristics of the morphology quantitatively, then we abstract local rules governing the growing process to construct a simple network growth model. This model is independent of specific systems, in which only two rules are applied. Finally, we discuss the mechanism of commonly observed biological pattern formations through comparison with the system of bacterial colonies.

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Year:  2008        PMID: 18929578     DOI: 10.1016/j.jtbi.2008.09.010

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  11 in total

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6.  Kanizsa illusory contours appearing in the plasmodium pattern of Physarum polycephalum.

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Journal:  Front Cell Infect Microbiol       Date:  2014-02-28       Impact factor: 5.293

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8.  Substrate and cell fusion influence on slime mold network dynamics.

Authors:  Chloé Arson; Audrey Dussutour; Fernando Patino-Ramirez
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

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10.  Substrate composition directs slime molds behavior.

Authors:  Fernando Patino-Ramirez; Aurèle Boussard; Chloé Arson; Audrey Dussutour
Journal:  Sci Rep       Date:  2019-10-28       Impact factor: 4.379

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