AutoEPG: software for the analysis of electrical activity in the microcircuit underpinning feeding behaviour of caenorhabditis elegans


Dillon, James, Andrianakis, Ioannis, Bull, Kate, Glautier, Steve, O'Connor, Vincent, Holden-Dye, L. and James, C.J. (2009) AutoEPG: software for the analysis of electrical activity in the microcircuit underpinning feeding behaviour of caenorhabditis elegans PLoS ONE, 4, (12), pp. 1-13. (doi:10.1371/journal.pone.0008482).

Download

[img] Other fetchObject.action_uri=info_doi%2F10.1371%2Fjournal.pone.0008482&representation=PDF - Version of Record
Available under License Other.

Download (795kB)

Description/Abstract

Background
The pharyngeal microcircuit of the nematode Caenorhabditis elegans serves as a model for analysing neural network activity and is amenable to electrophysiological recording techniques. One such technique is the electropharyngeogram (EPG) which has provided insight into the genetic basis of feeding behaviour, neurotransmission and muscle excitability. However, the detailed manual analysis of the digital recordings necessary to identify subtle differences in activity that reflect modulatory changes within the underlying network is time consuming and low throughput. To address this we have developed an automated system for the high-throughput and discrete analysis of EPG recordings (AutoEPG).

Methodology/Principal Findings
AutoEPG employs a tailor made signal processing algorithm that automatically detects different features of the EPG signal including those that report on the relaxation and contraction of the muscle and neuronal activity. Manual verification of the detection algorithm has demonstrated AutoEPG is capable of very high levels of accuracy. We have further validated the software by analysing existing mutant strains with known pharyngeal phenotypes detectable by the EPG. In doing so, we have more precisely defined an evolutionarily conserved role for the calcium-dependent potassium channel, SLO-1, in modulating the rhythmic activity of neural networks.

Conclusions/Significance
AutoEPG enables the consistent analysis of EPG recordings, significantly increases analysis throughput and allows the robust identification of subtle changes in the electrical activity of the pharyngeal nervous system. It is anticipated that AutoEPG will further add to the experimental tractability of the C. elegans pharynx as a model neural circuit.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1371/journal.pone.0008482
ISSNs: 1932-6203 (print)
Subjects:
ePrint ID: 141496
Date :
Date Event
2009Published
Date Deposited: 29 Mar 2010 14:31
Last Modified: 18 Apr 2017 20:09
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/141496

Actions (login required)

View Item View Item