Literature DB >> 28465441

Mechanism of signal propagation in Physarum polycephalum.

Karen Alim1,2, Natalie Andrew3,2, Anne Pringle4,5, Michael P Brenner3.   

Abstract

Complex behaviors are typically associated with animals, but the capacity to integrate information and function as a coordinated individual is also a ubiquitous but poorly understood feature of organisms such as slime molds and fungi. Plasmodial slime molds grow as networks and use flexible, undifferentiated body plans to forage for food. How an individual communicates across its network remains a puzzle, but Physarum polycephalum has emerged as a novel model used to explore emergent dynamics. Within P. polycephalum, cytoplasm is shuttled in a peristaltic wave driven by cross-sectional contractions of tubes. We first track P. polycephalum's response to a localized nutrient stimulus and observe a front of increased contraction. The front propagates with a velocity comparable to the flow-driven dispersion of particles. We build a mathematical model based on these data and in the aggregate experiments and model identify the mechanism of signal propagation across a body: The nutrient stimulus triggers the release of a signaling molecule. The molecule is advected by fluid flows but simultaneously hijacks flow generation by causing local increases in contraction amplitude as it travels. The molecule is initiating a feedback loop to enable its own movement. This mechanism explains previously puzzling phenomena, including the adaptation of the peristaltic wave to organism size and P. polycephalum's ability to find the shortest route between food sources. A simple feedback seems to give rise to P. polycephalum's complex behaviors, and the same mechanism is likely to function in the thousands of additional species with similar behaviors.

Entities:  

Keywords:  Taylor dispersion; acellular slime mold; behavior; transport network

Mesh:

Year:  2017        PMID: 28465441      PMCID: PMC5441820          DOI: 10.1073/pnas.1618114114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

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4.  Liquid transport facilitated by channels in Bacillus subtilis biofilms.

Authors:  James N Wilking; Vasily Zaburdaev; Michael De Volder; Richard Losick; Michael P Brenner; David A Weitz
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-27       Impact factor: 11.205

5.  Pruning to Increase Taylor Dispersion in Physarum polycephalum Networks.

Authors:  Sophie Marbach; Karen Alim; Natalie Andrew; Anne Pringle; Michael P Brenner
Journal:  Phys Rev Lett       Date:  2016-10-20       Impact factor: 9.161

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Authors:  Karen Alim; Gabriel Amselem; François Peaudecerf; Michael P Brenner; Anne Pringle
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

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  11 in total

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2.  Oscillatory fluid flow drives scaling of contraction wave with system size.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-03       Impact factor: 11.205

Review 3.  Fluid flows shaping organism morphology.

Authors:  Karen Alim
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-05-26       Impact factor: 6.237

4.  Studying Protista WBR and Repair Using Physarum polycephalum.

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6.  Adaptive behaviour and learning in slime moulds: the role of oscillations.

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7.  Mycorrhizal Fungi Respond to Resource Inequality by Moving Phosphorus from Rich to Poor Patches across Networks.

Authors:  Matthew D Whiteside; Gijsbert D A Werner; Victor E A Caldas; Anouk Van't Padje; Simon E Dupin; Bram Elbers; Milenka Bakker; Gregory A K Wyatt; Malin Klein; Mark A Hink; Marten Postma; Bapu Vaitla; Ronald Noë; Thomas S Shimizu; Stuart A West; E Toby Kiers
Journal:  Curr Biol       Date:  2019-06-06       Impact factor: 10.834

8.  Active poroelastic two-phase model for the motion of physarum microplasmodia.

Authors:  Dirk Alexander Kulawiak; Jakob Löber; Markus Bär; Harald Engel
Journal:  PLoS One       Date:  2019-08-09       Impact factor: 3.240

9.  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

10.  Emergence of behaviour in a self-organized living matter network.

Authors:  Philipp Fleig; Mirna Kramar; Michael Wilczek; Karen Alim
Journal:  Elife       Date:  2022-01-21       Impact factor: 8.140

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