Details

Autor(en) / Beteiligte

• Winbush, Ari
• Gruner, Matthew
• Hennig, Grant W.
• van der Linden, Alexander M.

Titel

Long-term imaging of circadian locomotor rhythms of a freely crawling C. elegans population

Ist Teil von

• Journal of neuroscience methods, 2015-07, Vol.249, p.66-74

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2015

Quelle

Elsevier ScienceDirect Journals

Beschreibungen/Notizen

• •We describe a new system for long-term recording of circadian locomotor rhythms.•We measured locomotor activity of a population of freely crawling adult animals.•Novel analysis tools are used to quantify features related to movement and shape.•Our method is simple and broadly useful for tracking of C. elegans phenotypes. 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. 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. 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. 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. 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.