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Cited by 239

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Automated monitoring and quantitative analysis of feeding behaviour in Drosophila

Open access
Itskov, Pavel M., Moreira, José-Maria, Vinnik, Ekaterina, Lopes, Gonçalo, Safarik, Steve, Dickinson, Michael H., Ribeiro, Carlos·2014·Nature Communications

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. Feeding is an important behaviour, but its quantification remains challenging, particularly in small animal models like Drosophila melanogaster. Here the authors describe a method which uses capacitive sensing for automated high-resolution measuring of feeding behaviour in individual flies.

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Metadata

Authors
Itskov, P. M., Moreira, J.-M., Vinnik, E., Lopes, G., Safarik, S., Dickinson, M. H., & Ribeiro, C.
Venue
Nature Communications
Published
2014-08-04
Volume
5
Issue
1
Pages
4560-4560
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2007301606
Cited by
239
References
5
FWCI
5.50
Type
journal article
Language
en
Open access
hybrid

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