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A Computational Model of the Escape Response Latency in the Giant Fiber System of Drosophila melanogaster

Partridge, L; (2019) A Computational Model of the Escape Response Latency in the Giant Fiber System of Drosophila melanogaster. eNeuro , 6 (2) , Article e0423-18. 10.1523/ENEURO.0423-18.2019. Green open access

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Abstract

The giant fiber system (GFS) is a multi-component neuronal pathway mediating rapid escape response in the adult fruit-fly Drosophila melanogaster, usually in the face of a threatening visual stimulus. Two branches of the circuit promote the response by stimulating an escape jump followed by flight initiation. A recent work demonstrated an age-associated decline in the speed of signal propagation through the circuit, measured as the stimulus-to-muscle depolarization response latency. The decline is likely due to the diminishing number of inter-neuronal gap junctions in the GFS of ageing flies. In this work, we presented a realistic conductance-based, computational model of the GFS that recapitulates the experimental results and identifies some of the critical anatomical and physiological components governing the circuit’s response latency. According to our model, anatomical properties of the GFS neurons have a stronger impact on the transmission than neuronal membrane conductance densities. The model provides testable predictions for the effect of experimental interventions on the circuit’s performance in young and ageing flies.

Type: Article
Title: A Computational Model of the Escape Response Latency in the Giant Fiber System of Drosophila melanogaster
Open access status: An open access version is available from UCL Discovery
DOI: 10.1523/ENEURO.0423-18.2019
Publisher version: https://doi.org/10.1523/ENEURO.0423-18.2019
Language: English
Additional information: This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. https://creativecommons.org/licenses/by/4.0/
Keywords: aging; computational model; Drosophila; escape response; gap junctions; ion channels
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Neuro, Physiology and Pharmacology
URI: https://discovery.ucl.ac.uk/id/eprint/10072708
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