Literature DB >> 35472268

Cell fusion through slime mould network dynamics.

Sheryl Hsu1, Laura P Schaposnik2.   

Abstract

Physarum polycephalum is a unicellular slime mould that has been intensely studied owing to its ability to solve mazes, find shortest paths, generate Steiner trees, share knowledge and remember past events and the implied applications to unconventional computing. The CELL model is a cellular automaton introduced in Gunji et al. (Gunji et al. 2008 J. Theor. Biol. 253, 659-667 (doi:10.1016/j.jtbi.2008.04.017)) that models Physarum's amoeboid motion, tentacle formation, maze solving and network creation. In the present paper, we extend the CELL model by spawning multiple CELLs, allowing us to understand the interactions between multiple cells and, in particular, their mobility, merge speed and cytoplasm mixing. We conclude the paper with some notes about applications of our work to modelling the rise of present-day civilization from the early nomadic humans and the spread of trends and information around the world. Our study of the interactions of this unicellular organism should further the understanding of how P. polycephalum communicates and shares information.

Entities:  

Keywords:  cell fusion; network dynamics; slime mould

Mesh:

Year:  2022        PMID: 35472268      PMCID: PMC9042577          DOI: 10.1098/rsif.2022.0054

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.293


  13 in total

1.  Minimal model of a cell connecting amoebic motion and adaptive transport networks.

Authors:  Yukio-Pegio Gunji; Tomohiro Shirakawa; Takayuki Niizato; Taichi Haruna
Journal:  J Theor Biol       Date:  2008-04-26       Impact factor: 2.691

2.  Rules for biologically inspired adaptive network design.

Authors:  Atsushi Tero; Seiji Takagi; Tetsu Saigusa; Kentaro Ito; Dan P Bebber; Mark D Fricker; Kenji Yumiki; Ryo Kobayashi; Toshiyuki Nakagaki
Journal:  Science       Date:  2010-01-22       Impact factor: 47.728

3.  Encoding memory in tube diameter hierarchy of living flow network.

Authors:  Mirna Kramar; Karen Alim
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-09       Impact factor: 11.205

4.  Direct transfer of learned behaviour via cell fusion in non-neural organisms.

Authors:  David Vogel; Audrey Dussutour
Journal:  Proc Biol Sci       Date:  2016-12-28       Impact factor: 5.349

5.  Physarum polycephalum percolation as a paradigm for topological phase transitions in transportation networks.

Authors:  Adrian Fessel; Christina Oettmeier; Erik Bernitt; Nils C Gauthier; Hans-Günther Döbereiner
Journal:  Phys Rev Lett       Date:  2012-08-16       Impact factor: 9.161

6.  A trust model for spreading gossip in social networks: a multi-type bootstrap percolation model.

Authors:  Rinni Bhansali; Laura P Schaposnik
Journal:  Proc Math Phys Eng Sci       Date:  2020-03-11       Impact factor: 2.704

7.  Mechanism of signal propagation in Physarum polycephalum.

Authors:  Karen Alim; Natalie Andrew; Anne Pringle; Michael P Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-02       Impact factor: 11.205

8.  Cell fusion through slime mould network dynamics.

Authors:  Sheryl Hsu; Laura P Schaposnik
Journal:  J R Soc Interface       Date:  2022-04-27       Impact factor: 4.293

9.  Transportation network with fluctuating input/output designed by the bio-inspired Physarum algorithm.

Authors:  Shin Watanabe; Atsuko Takamatsu
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

10.  Habituation in non-neural organisms: evidence from slime moulds.

Authors:  Romain P Boisseau; David Vogel; Audrey Dussutour
Journal:  Proc Biol Sci       Date:  2016-04-27       Impact factor: 5.349

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  2 in total

1.  Cell fusion through slime mould network dynamics.

Authors:  Sheryl Hsu; Laura P Schaposnik
Journal:  J R Soc Interface       Date:  2022-04-27       Impact factor: 4.293

2.  A Physarum-inspired approach to the Euclidean Steiner tree problem.

Authors:  Sheryl Hsu; Fidel I Schaposnik Massolo; Laura P Schaposnik
Journal:  Sci Rep       Date:  2022-08-25       Impact factor: 4.996

  2 in total

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