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Enhanced fidelity of diffusive nitric oxide signalling by the spatial segregation of source and target neurones in the memory centre of an insect brain
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posted on 2023-06-07, 22:52 authored by Swidbert R. Ott, Andy PhilippidesAndy Philippides, Maurice R. Elphick, Michael O'SheaThe messenger molecule nitric oxide (NO) is a key mediator of memory formation that can diffuse in the brain over tens of micrometres. It would seem therefore that NO derived from many individual neurones may merge into a volume signal that is inevitably ambiguous, relatively unspecific and thus unreliable. Here we report on the neuronal architecture that supports the NO-cyclic GMP signalling pathway in the mushroom body of an insect brain, the key centre for associative learning. We show that, in the locust (Schistocerca gregaria), parallel axons of intrinsic neurones (Kenyon cells) form tubular NO-producing zones surrounding central cores of NO-receptive Kenyon cell axons, which do not produce NO. This segregated architecture requires NO to spread at physiological concentrations up to 60 µm from the tube walls into the central NO-receptive cores. By modelling NO diffusion we show that a segregated architecture, which requires NO to act at a distance, affords significant advantages over a system where the same sources and targets intermingle. Segregation enhances the precision of NO volume signals by reducing noise and ambiguity, achieving a reliable integration of the activity of thousands of NO-source neurones. In a neural structure that forms NO-dependent associations, these properties of the segregated architecture may reduce the likelihood of forming spurious memories.
History
Publication status
- Published
Journal
European Journal of NeuroscienceISSN
0953-816XPublisher
Blackwell PublishingExternal DOI
Issue
1Volume
25Page range
181-190Pages
10.0Department affiliated with
- Neuroscience Publications
Notes
MO initiated and led the NO modelling research that allowed the relationship between NO diffusion and source morphology to be analysed. MO wrote this paper which importantly shows how a diffusive and intrinsically noisy and ambiguous signal can be disambiguated by the segregation of NO source and NO target neurones.Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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