Literature DB >> 33452314

Substrate and cell fusion influence on slime mold network dynamics.

Chloé Arson1, Audrey Dussutour2, Fernando Patino-Ramirez3.   

Abstract

The acellular slime mold Physarum polycephalum provides an excellent model to study network formation, as its network is remodelled constantly in response to mass gain/loss and environmental conditions. How slime molds networks are built and fuse to allow for efficient exploration and adaptation to environmental conditions is still not fully understood. Here, we characterize the network organization of slime molds exploring homogeneous neutral, nutritive and adverse environments. We developed a fully automated image analysis method to extract the network topology and followed the slime molds before and after fusion. Our results show that: (1) slime molds build sparse networks with thin veins in a neutral environment and more compact networks with thicker veins in a nutritive or adverse environment; (2) slime molds construct long, efficient and resilient networks in neutral and adverse environments, whereas in nutritive environments, they build shorter and more centralized networks; and (3) slime molds fuse rapidly and establish multiple connections with their clone-mates in a neutral environment, whereas they display a late fusion with fewer connections in an adverse environment. Our study demonstrates that slime mold networks evolve continuously via pruning and reinforcement, adapting to different environmental conditions.

Entities:  

Year:  2021        PMID: 33452314      PMCID: PMC7810851          DOI: 10.1038/s41598-020-80320-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

Review 1.  Endothelial development taking shape.

Authors:  Andrin Wacker; Holger Gerhardt
Journal:  Curr Opin Cell Biol       Date:  2011-11-01       Impact factor: 8.382

2.  Damage and fluctuations induce loops in optimal transport networks.

Authors:  Eleni Katifori; Gergely J Szöllosi; Marcelo O Magnasco
Journal:  Phys Rev Lett       Date:  2010-01-29       Impact factor: 9.161

3.  Remodeling of blood vessels: responses of diameter and wall thickness to hemodynamic and metabolic stimuli.

Authors:  Axel R Pries; Bettina Reglin; Timothy W Secomb
Journal:  Hypertension       Date:  2005-09-19       Impact factor: 10.190

4.  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

5.  Optimizing biologically inspired transport networks by control.

Authors:  Junjie Jiang; Xingang Wang; Ying-Cheng Lai
Journal:  Phys Rev E       Date:  2019-09       Impact factor: 2.529

6.  Relationship between intracellular period modulation and external environment change in Physarum plasmodium.

Authors:  Y Miyake; H Tada; M Yano; H Shimizu
Journal:  Cell Struct Funct       Date:  1994-12       Impact factor: 2.212

7.  Slime mould: The fundamental mechanisms of biological cognition.

Authors:  Jordi Vallverdú; Oscar Castro; Richard Mayne; Max Talanov; Michael Levin; Frantisek Baluška; Yukio Gunji; Audrey Dussutour; Hector Zenil; Andrew Adamatzky
Journal:  Biosystems       Date:  2018-01-08       Impact factor: 1.973

8.  Quantifying loopy network architectures.

Authors:  Eleni Katifori; Marcelo O Magnasco
Journal:  PLoS One       Date:  2012-06-06       Impact factor: 3.240

9.  Threshold phenomena in chemoreception and taxis in slime mold Physarum polycephalum.

Authors:  T Ueda; K Terayama; K Kurihara; Y Kobatake
Journal:  J Gen Physiol       Date:  1975-02       Impact factor: 4.086

10.  Social learning for resilient data fusion against data falsification attacks.

Authors:  Fernando Rosas; Kwang-Cheng Chen; Deniz Gündüz
Journal:  Comput Soc Netw       Date:  2018-10-25
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  1 in total

1.  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

  1 in total

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