Escape response latency in the Giant Fiber System of Drosophila melanogastor (Augustin et al 2019)

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Accession:245415
"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. Our 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 our 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."
Reference:
1 . Augustin H, Zylbertal A, Partridge L (2019) A computational model of the escape response latency in the Giant Fiber System of Drosophila melanogaster eNeuro
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Drosophila;
Cell Type(s):
Channel(s): I Na,t; I Na,p; I K;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Invertebrate; Delay;
Implementer(s): Zylbertal, Asaph [asaph.zylbertal at mail.huji.ac.il]; Augustin, Hrvoje ;
Search NeuronDB for information about:  I Na,p; I Na,t; I K;
/
AugustinEtAl2018
channels
readme
gfpn.py
gfs_param_scan_conductances.py
                            
Model files from the manuscript:

Augustin, H, Zylbertal, A and Partridge L, "A computational model of the escape latency in the Giant Fiber System of D. melanogaster" (preprint)
The file gfs_param_scan_conductances.py reproduces the protocol used
in Fig. 3 of the article by calling the module gfpn.py.

Questions on how to use this model should be directed to
asaph.zylbertal at mail.huji.ac.il

Synopsis:

The Giant Fiber System (GFS) is a multi-component neuronal pathway mediating rapid escape
response in 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. Our recent work demonstrated an age-associated decline in the
speed of signal propagation through the circuit, likely due to the diminishing number of gap
junctions between its components in ageing flies. In this work, we generated a realistic
conductance-based computational model of the GFS that recapitulates our experimental
results and identifies some of the critical anatomical and physiological components governing
the response latency of the circuit. Overall, anatomical properties of the GFS neurons have a
stronger impact on the transmission speed compared to the effect of changes in neuronal
membrane conductance densities. Our model and provides testable predictions for improving
the circuit’s performance in ageing animals by means of experimental interventions.

This example protocol plots the GFS latency as a function of gap junction conductance and:
1) Transient voltage gated sodium conductance
2) Voltage gated potassium conductance
3) Leak conductance

Example use:

Extract the archive, run nrnivmodl in the channels directory
(linux/unix) or mknrndll (mswin or mac os x) (see
http://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html
for more help) to compile the channels, and run the file
gfs_param_scan_conductances.py. After a while, it will plot
the latency maps.

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