High-resolution positional tracking for long-term analysis of Drosophila sleep and locomotion using the "tracker" program.
Nathan C. Donelson,Eugene Z. Kim,Justin B. Slawson,Christopher G. Vecsey,Robert Huber,Leslie C. Griffith +5 more
TL;DR: Direct comparisons of incident recording and the motion tracking application using wild type and locomotor-deficient flies show that the increased temporal resolution in the data from the Tracker program can greatly affect the interpretation of the state of the fly.
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Abstract: Drosophila melanogaster has been used for decades in the study of circadian behavior, and more recently has become a popular model for the study of sleep. The classic method for monitoring fly activity involves counting the number of infrared beam crosses in individual small glass tubes. Incident recording methods such as this can measure gross locomotor activity, but they are unable to provide details about where the fly is located in space and do not detect small movements (i.e. anything less than half the enclosure size), which could lead to an overestimation of sleep and an inaccurate report of the behavior of the fly. This is especially problematic if the fly is awake, but is not moving distances that span the enclosure. Similarly, locomotor deficiencies could be incorrectly classified as sleep phenotypes. To address these issues, we have developed a locomotor tracking technique (the “Tracker” program) that records the exact location of a fly in real time. This allows for the detection of very small movements at any location within the tube. In addition to circadian locomotor activity, we are able to collect other information, such as distance, speed, food proximity, place preference, and multiple additional parameters that relate to sleep structure. Direct comparisons of incident recording and our motion tracking application using wild type and locomotor-deficient (CASK-β null) flies show that the increased temporal resolution in the data from the Tracker program can greatly affect the interpretation of the state of the fly. This is especially evident when a particular condition or genotype has strong effects on the behavior, and can provide a wealth of information previously unavailable to the investigator. The interaction of sleep with other behaviors can also be assessed directly in many cases with this method.
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References
Molecular Analysis of Mammalian Circadian Rhythms
TL;DR: Greater understanding of the cellular and molecular mechanisms of the SCN clockwork provides opportunities for pharmacological manipulation of circadian timing.
1.5K
Correlates of Sleep and Waking in Drosophila melanogaster
TL;DR: Drosophila rest is characterized by an increased arousal threshold and is homeostatically regulated independently of the circadian clock, which implicate the catabolism of monoamines in the regulation of sleep and waking in the fly.
1.3K
Rest in Drosophila Is a Sleep-like State
Joan C. Hendricks,Stefanie M Finn,Karen Panckeri,Jessica Chavkin,Julie A. Williams,Amita Sehgal,Allan I. Pack +6 more
TL;DR: To facilitate the genetic study of sleep, it is documented that rest behavior in Drosophila melanogaster is a sleep-like state, and normal homeostatic regulation depends on the timeless but not the period central clock gene.
1K
The ubiquitin proteasome system in neurodegenerative diseases: sometimes the chicken, sometimes the egg.
Aaron Ciechanover,Patrik Brundin +1 more
TL;DR: Recent findings indicate that the ubiquitin-proteasome system is involved in the pathogenesis of Parkinson's, Alzheimer's, Huntington's, and Prion diseases as well as amyotrophic lateral sclerosis, which raises hopes for a better understanding of the pathogenetic mechanisms involved in these diseases and for the development of novel, mechanism-based therapeutic modalities.
1K
High-throughput Ethomics in Large Groups of Drosophila
TL;DR: A camera-based method for automatically quantifying the individual and social behaviors of fruit flies, Drosophila melanogaster, interacting in a planar arena finds that behavioral differences between individuals were consistent over time and were sufficient to accurately predict gender and genotype.