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Microbial mutualism at a distance: The role of geometry in diffusive exchanges

François J. Peaudecerf1,*, Freddy Bunbury2, Vaibhav Bhardwaj2, Martin A. Bees3, Alison G. Smith2, Raymond E. Goldstein1,†, and Ottavio A. Croze4,‡

  • 1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, United Kingdom
  • 2Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, United Kingdom
  • 3Department of Mathematics, University of York, Heslington, York Y010 5DD, United Kingdom
  • 4Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom

  • *Present address: Institut für Umweltingenieurwissenschaften, ETH Zürich, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland; peaudecerf@ifu.baug.ethz.ch
  • †R.E.Goldstein@damtp.cam.ac.uk
  • ‡oac24@cam.ac.uk

Phys. Rev. E 97, 022411 – Published 20 February, 2018

DOI: https://doi.org/10.1103/PhysRevE.97.022411

Abstract

The exchange of diffusive metabolites is known to control the spatial patterns formed by microbial populations, as revealed by recent studies in the laboratory. However, the matrices used, such as agarose pads, lack the structured geometry of many natural microbial habitats, including in the soil or on the surfaces of plants or animals. Here we address the important question of how such geometry may control diffusive exchanges and microbial interaction. We model mathematically mutualistic interactions within a minimal unit of structure: two growing reservoirs linked by a diffusive channel through which metabolites are exchanged. The model is applied to study a synthetic mutualism, experimentally parametrized on a model algal-bacterial co-culture. Analytical and numerical solutions of the model predict conditions for the successful establishment of remote mutualisms, and how this depends, often counterintuitively, on diffusion geometry. We connect our findings to understanding complex behavior in synthetic and naturally occurring microbial communities.

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