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A circuit model of the temporal pattern generator of Caenorhabditis egg-laying behavior.


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Authors

Zhang, Mi 
Schafer, William R 
Breitling, Rainer 

Abstract

BACKGROUND: Egg-laying behavior in the nematode C. elegans displays a distinct clustered temporal pattern: egg-laying events occur primarily in bursts or active phases, separated by inactive phases during which eggs are retained. The onset of the active phase can be modeled as a Poisson process with a time constant of approximately 20 minutes, while egg-laying events within an active phase occur with a faster time constant of approximately 20 seconds. Here we propose a cellular model for how the temporal pattern of egg-laying might be generated, based on genetic and cell-biological experiments and statistical analyses. RESULTS: We suggest that the HSN neuron is the executive neuron driving egg-laying events. We propose that the VC neurons act as "single egg counters" that inhibit HSN activity for short periods in response to individual egg-laying events. We further propose that the uv1 neuroendocrine cells are "cluster counters", which inhibit HSN activity for longer periods and are responsible for the time constant of the inactive phase. Together they form an integrated circuit that drives the clustered egg-laying pattern. CONCLUSIONS: The detailed predictions derived from this model can now be tested by straightforward validation experiments.

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RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.

Keywords

Animals, Caenorhabditis, Female, Models, Biological, Neurons, Oviposition, Time Factors

Journal Title

BMC Syst Biol

Conference Name

Journal ISSN

1752-0509
1752-0509

Volume Title

Publisher

Springer Science and Business Media LLC