Metabolic basis of brain-like electrical signalling in bacterial communities

Rosa Martinez-Corral, Jintao Liu, Arthur Prindle, Gürol M. Süel, Jordi Garcia-Ojalvo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


Information processing in the mammalian brain relies on a careful regulation of the membrane potential dynamics of its constituent neurons, which propagates across the neuronal tissue via electrical signalling. We recently reported the existence of electrical signalling in a much simpler organism, the bacterium Bacillus subtilis. In dense bacterial communities known as biofilms, nutrient-deprived B. subtilis cells in the interior of the colony use electrical communication to transmit stress signals to the periphery, which interfere with the growth of peripheral cells and reduce nutrient consumption, thereby relieving stress from the interior. Here, we explicitly address the interplay between metabolism and electrophysiology in bacterial biofilms, by introducing a spatially extended mathematical model that combines the metabolic and electrical components of the phenomenon in a discretized reaction - diffusion scheme. The model is experimentally validated by environmental and genetic perturbations, and confirms that metabolic stress is transmitted through the bacterial population via a potassium wave. Interestingly, this behaviour is reminiscent of cortical spreading depression in the brain, characterized by a wave of electrical activity mediated by potassium diffusion that has been linked to various neurological disorders, calling for future studies on the evolutionary link between the two phenomena. This article is part of the theme issue 'Liquid brains, solid brains: How distributed cognitive architectures process information'.

Original languageEnglish (US)
Article number20180382
JournalPhilosophical Transactions of the Royal Society B: Biological Sciences
Issue number1774
StatePublished - 2019


  • Bacterial biofilms
  • Cellular excitability
  • Electrical signalling
  • Membrane potential
  • Potassium waves

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)


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