Metabolic basis of brain-like electrical signalling in bacterial communities. (22nd April 2019)

• Record Type: Journal Article
• Authors: Martinez-Corral, Rosa; Liu, Jintao; Prindle, Arthur; Süel, Gürol M.; Garcia-Ojalvo, Jordi
• Is Part Of: Philosophical transactions. Volume 374:Number 1774(2019)
• Publication Date: 2019-04-22
• Subjects: membrane potential -- electrical signalling -- potassium waves -- bacterial biofilms -- cellular excitability; Biology -- Periodicals; Science -- Periodicals; 570
• DOI: 10.1098/rstb.2018.0382
• Languages: English
• ISSNs: 0962-8436

Abstract

Abstract : 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'.