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Genetic and Neuronal Integration of Sleep and Feeding

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Date Issued:
2018
Abstract/Description:
Accumulating evidence points to a fundamental connection between sleep and feeding behavior. However, the temporal, genetic, and neuronal architecture that defines these relationships is poorly understood. Drosophila are amenable to high-throughput studies and offer numerous genetic tools which have advanced our understanding of the mechanistic relationships between these behaviors. However, certain features of the sleep-feeding axis have remained elusive, largely due to the separate measurement of sleep and feeding. Here, I develop a system which simultaneously measures sleep and feeding in individual animals by employing high resolution machine vision tracking and micro-controller interface functionality. Using this system, I show that food consumption drives a transient rise in sleep, which depends on food quality, quantity, and timing of a meal. The leucokinin system mediates these effects, particularly in response to protein ingestion. We further use the system to examine sleep homeostasis and demonstrate sleep dependence on energy expenditure and fat-brain communication. Collectively, these findings provide novel insight into the fundamental connections between sleep and feeding behavior.
Title: Genetic and Neuronal Integration of Sleep and Feeding.
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Name(s): Murphy, Keith Richard, author
Ja, William W., Thesis advisor
Florida Atlantic University, Degree grantor
Charles E. Schmidt College of Science
Department of Biological Sciences
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2018
Date Issued: 2018
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 159 p.
Language(s): English
Abstract/Description: Accumulating evidence points to a fundamental connection between sleep and feeding behavior. However, the temporal, genetic, and neuronal architecture that defines these relationships is poorly understood. Drosophila are amenable to high-throughput studies and offer numerous genetic tools which have advanced our understanding of the mechanistic relationships between these behaviors. However, certain features of the sleep-feeding axis have remained elusive, largely due to the separate measurement of sleep and feeding. Here, I develop a system which simultaneously measures sleep and feeding in individual animals by employing high resolution machine vision tracking and micro-controller interface functionality. Using this system, I show that food consumption drives a transient rise in sleep, which depends on food quality, quantity, and timing of a meal. The leucokinin system mediates these effects, particularly in response to protein ingestion. We further use the system to examine sleep homeostasis and demonstrate sleep dependence on energy expenditure and fat-brain communication. Collectively, these findings provide novel insight into the fundamental connections between sleep and feeding behavior.
Identifier: FA00005972 (IID)
Degree granted: Dissertation (Ph.D.)--Florida Atlantic University, 2018.
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Includes bibliography.
Subject(s): Sleep
Feeding
Drosophila
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00005972
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.