title: Automated monitoring and quantitative analysis of feeding behaviour in Drosophila.
abstract: Food ingestion is one of the defining behaviours of all animals, but its quantification and analysis remain challenging. This is especially the case for feeding behaviour in small, genetically tractable animals such as Drosophila melanogaster. Here, we present a method based on capacitive measurements, which allows the detailed, automated and high-throughput quantification of feeding behaviour. Using this method, we were able to measure the volume ingested in single sips of an individual, and monitor the absorption of food with high temporal resolution. We demonstrate that flies ingest food by rhythmically extending their proboscis with a frequency that is not modulated by the internal state of the animal. Instead, hunger and satiety homeostatically modulate the microstructure of feeding. These results highlight similarities of food intake regulation between insects, rodents, and humans, pointing to a common strategy in how the nervous systems of different animals control food intake.
authors.affiliation: Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal.
authors.forename: Pavel M
authors.initials: PM
authors.lastname: Itskov
authors.affiliation: Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal.
authors.forename: José-Maria
authors.initials: JM
authors.lastname: Moreira
authors.affiliation: Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal.
authors.forename: Ekaterina
authors.initials: E
authors.lastname: Vinnik
authors.affiliation: Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal.
authors.forename: Gonçalo
authors.initials: G
authors.lastname: Lopes
authors.affiliation: Department of Biology, University of Washington, Seattle, Washington 98195-1800, USA.
authors.forename: Steve
authors.initials: S
authors.lastname: Safarik
authors.affiliation: Department of Biology, University of Washington, Seattle, Washington 98195-1800, USA.
authors.forename: Michael H
authors.initials: MH
authors.lastname: Dickinson
authors.affiliation: Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal.
authors.forename: Carlos
authors.initials: C
authors.lastname: Ribeiro
mesh_terms: D000818:Animals; D004331:Drosophila melanogaster / Q000502:physiology*; D004435:Eating / Q000502:physiology*; D025802:Electric Capacitance; D005247:Feeding Behavior / Q000502:physiology*; D005260:Female; D006815:Hunger / Q000502:physiology*; D008163:Luminescent Measurements / Q000295:instrumentation / Q000379:methods; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D012527:Satiation / Q000502:physiology*; D013395:Sucrose
chemical_list: D013395:Sucrose
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