Literature DB >> 35359302

Studying Protista WBR and Repair Using Physarum polycephalum.

Megan M Sperry1,2, Nirosha J Murugan3,4, Michael Levin5,6,7.   

Abstract

Physarum polycephalum is a protist slime mould that exhibits a high degree of responsiveness to its environment through a complex network of tubes and cytoskeletal components that coordinate behavior across its unicellular, multinucleated body. Physarum has been used to study decision making, problem solving, and mechanosensation in aneural biological systems. The robust generative and repair capacities of Physarum also enable the study of whole-body regeneration within a relatively simple model system. Here we describe methods for growing, imaging, quantifying, and sampling Physarum that are adapted for investigating regeneration and repair.
© 2022. The Author(s).

Entities:  

Keywords:  Extract; Injury; Networks; Regeneration; Signaling; Slime mould

Mesh:

Year:  2022        PMID: 35359302     DOI: 10.1007/978-1-0716-2172-1_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  13 in total

1.  The emergence of synchronization behavior in Physarum polycephalum and its particle approximation.

Authors:  Soichiro Tsuda; Jeff Jones
Journal:  Biosystems       Date:  2010-11-09       Impact factor: 1.973

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

Authors:  Atsuko Takamatsu; Eri Takaba; Ginjiro Takizawa
Journal:  J Theor Biol       Date:  2008-09-27       Impact factor: 2.691

3.  Slime mold uses an externalized spatial "memory" to navigate in complex environments.

Authors:  Chris R Reid; Tanya Latty; Audrey Dussutour; Madeleine Beekman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-08       Impact factor: 11.205

Review 4.  A linear-encoding model explains the variability of the target morphology in regeneration.

Authors:  Daniel Lobo; Mauricio Solano; George A Bubenik; Michael Levin
Journal:  J R Soc Interface       Date:  2014-01-08       Impact factor: 4.118

5.  Decision-making ability of Physarum polycephalum enhanced by its coordinated spatiotemporal oscillatory dynamics.

Authors:  Koji Iwayama; Liping Zhu; Yoshito Hirata; Masashi Aono; Masahiko Hara; Kazuyuki Aihara
Journal:  Bioinspir Biomim       Date:  2016-04-12       Impact factor: 2.956

6.  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

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

Review 8.  Morphogenetic fields in embryogenesis, regeneration, and cancer: non-local control of complex patterning.

Authors:  Michael Levin
Journal:  Biosystems       Date:  2012-04-20       Impact factor: 1.973

9.  Molecular constituents of the replication apparatus in the plasmodium of Physarum polycephalum: identification by photoaffinity labelling.

Authors:  Sabine Doerhoefer; Svetlana Khodyreva; Lgor V Safronov; Wjatschesslaw A WIasoff; Rushid Anarbaev; Olga I Lavrik; Eggehard Holler
Journal:  Microbiology (Reading)       Date:  1998-11       Impact factor: 2.777

10.  Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism.

Authors:  Liping Zhu; Song-Ju Kim; Masahiko Hara; Masashi Aono
Journal:  R Soc Open Sci       Date:  2018-12-19       Impact factor: 2.963

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