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Long-term imaging of circadian locomotor rhythms of a freely crawling C. elegans population.
Winbush, Ari; Gruner, Matthew; Hennig, Grant W; van der Linden, Alexander M.
Afiliação
  • Winbush A; Department of Biology, University of Nevada, Reno, NV 89557, USA. Electronic address: awinbush237@gmail.com.
  • Gruner M; Department of Biology, University of Nevada, Reno, NV 89557, USA. Electronic address: matthew.gruner@gmail.com.
  • Hennig GW; Department of Physiology and Cell Biology, University of Nevada, School of Medicine, Reno, NV 89557, USA. Electronic address: grant@medicine.nevada.edu.
  • van der Linden AM; Department of Biology, University of Nevada, Reno, NV 89557, USA. Electronic address: avanderlinden@unr.edu.
J Neurosci Methods ; 249: 66-74, 2015 Jul 15.
Article em En | MEDLINE | ID: mdl-25911068
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. 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.

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 °C18 °C (1212h) 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. 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.

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comportamento Animal / Processamento de Imagem Assistida por Computador / Ritmo Circadiano / Caenorhabditis elegans / Locomoção Limite: Animals Idioma: En Revista: J Neurosci Methods Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comportamento Animal / Processamento de Imagem Assistida por Computador / Ritmo Circadiano / Caenorhabditis elegans / Locomoção Limite: Animals Idioma: En Revista: J Neurosci Methods Ano de publicação: 2015 Tipo de documento: Article