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Updated: May 23, 2026

Assaying Locomotor Activity to Study Circadian Rhythms and Sleep Parameters in Drosophila
Published on: September 28, 2010
Genetic background has a major impact on differences in sleep resulting from environmental influences in Drosophila
John E Zimmerman1, May T Chan, Nicholas Jackson
1Center for Sleep & Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-3403, USA. johnez@mail.med.upenn.edu
Study Objectives:
To determine the effect of different genetic backgrounds on demographic and environmental interventions that affect sleep and evaluate variance of these measures; and to evaluate sleep and variance of sleep behaviors in 6 divergent laboratory strains of common origin.
Design:
Assessment of the effects of age, sex, mating status, food sources, and social experience using video analysis of sleep behavior in 2 different strains of Drosophila, white(1118ex) (w(1118ex)) and white Canton-S (w(CS10)). Sleep was also determined for 6 laboratory strains of Canton-S and 3 inbred lines. The variance of total sleep was determined for all groups and conditions.
Measurements And Results:
The circadian periods and the effects of age upon sleep were the same between w(1118ex) and w(CS10) strains. However, the w(1118ex) and w(CS10) strains demonstrated genotype-dependent differences in the effects upon sleep of sex, mating status, social experience, and being on different foods. Variance of total sleep was found to differ in a genotype dependent manner for interventions between the w(1118ex) and w(CS10) strains. Six different laboratory Canton-S strains were found to have significantly different circadian periods (P < 0.001) and sleep phenotypes (P < 0.001). Three inbred lines showed reduced variance for sleep measurements.
Conclusions:
One must control environmental conditions in a rigorously consistent manner to ensure that sleep data may be compared between experiments. Genetic background has a significant impact upon changes in sleep behavior and variance of behavior due to demographic factors and environmental interventions. This represents an opportunity to discover new genes that modify sleep/wake behavior.
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