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Long-term imaging of circadian locomotor rhythms of a freely crawling C. elegans population.
- Source :
-
Journal of neuroscience methods [J Neurosci Methods] 2015 Jul 15; Vol. 249, pp. 66-74. Date of Electronic Publication: 2015 Apr 22. - Publication Year :
- 2015
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Abstract
- Background: Locomotor activity is used extensively as a behavioral output to study the underpinnings of circadian rhythms. Recent studies have required a populational approach for the study of circadian rhythmicity in Caenorhabditis elegans locomotion.<br />New Method: We describe an imaging system for long-term automated recording and analysis of locomotion data of multiple free-crawling C. elegans animals on the surface of an agar plate. We devised image analysis tools for measuring specific features related to movement and shape to identify circadian patterns.<br />Results: We demonstrate the utility of our system by quantifying circadian locomotor rhythms in wild-type and mutant animals induced by temperature cycles. We show that 13 °C:18 °C (12:12h) cycles are sufficient to entrain locomotor activity of wild-type animals, which persist but are rapidly damped during 13 °C free-running conditions. Animals with mutations in tax-2, a cyclic nucleotide-gated (CNG) ion channel, significantly reduce locomotor activity during entrainment and free-running.<br />Comparison With Existing Method(s): Current methods for measuring circadian locomotor activity is generally restricted to recording individual swimming animals of C. elegans, which is a distinct form of locomotion from crawling behavior generally observed in the laboratory. Our system works well with up to 20 crawling adult animals, and allows for a detailed analysis of locomotor activity over long periods of time.<br />Conclusions: Our population-based approach provides a powerful tool for quantification of circadian rhythmicity of C. elegans locomotion, and could allow for a screening system of candidate circadian genes in this model organism.<br /> (Copyright © 2015 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1872-678X
- Volume :
- 249
- Database :
- MEDLINE
- Journal :
- Journal of neuroscience methods
- Publication Type :
- Academic Journal
- Accession number :
- 25911068
- Full Text :
- https://doi.org/10.1016/j.jneumeth.2015.04.009