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Behavioral Dissection of Hunger States in

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Journal Elife
Specialty Biology
Date 2023 Jun 16
PMID 37326496
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Abstract

Hunger is a motivational drive that promotes feeding, and it can be generated by the physiological need to consume nutrients as well as the hedonic properties of food. Brain circuits and mechanisms that regulate feeding have been described, but which of these contribute to the generation of motive forces that drive feeding is unclear. Here, we describe our first efforts at behaviorally and neuronally distinguishing hedonic from homeostatic hunger states in and propose that this system can be used as a model to dissect the molecular mechanisms that underlie feeding motivation. We visually identify and quantify behaviors exhibited by hungry flies and find that increased feeding duration is a behavioral signature of hedonic feeding motivation. Using a genetically encoded marker of neuronal activity, we find that the mushroom body (MB) lobes are activated by hedonic food environments, and we use optogenetic inhibition to implicate a dopaminergic neuron cluster (protocerebral anterior medial [PAM]) to α'/β' MB circuit in hedonic feeding motivation. The identification of discrete hunger states in flies and the development of behavioral assays to measure them offers a framework to begin dissecting the molecular and circuit mechanisms that generate motivational states in the brain.

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References
1.
Ro J, Harvanek Z, Pletcher S . FLIC: high-throughput, continuous analysis of feeding behaviors in Drosophila. PLoS One. 2014; 9(6):e101107. PMC: 4076220. DOI: 10.1371/journal.pone.0101107. View

2.
Gosby A, Conigrave A, Lau N, Iglesias M, Hall R, Jebb S . Testing protein leverage in lean humans: a randomised controlled experimental study. PLoS One. 2011; 6(10):e25929. PMC: 3192127. DOI: 10.1371/journal.pone.0025929. View

3.
Mohammad F, Stewart J, Ott S, Chlebikova K, Chua J, Koh T . Optogenetic inhibition of behavior with anion channelrhodopsins. Nat Methods. 2017; 14(3):271-274. DOI: 10.1038/nmeth.4148. View

4.
Burke C, Huetteroth W, Owald D, Perisse E, Krashes M, Das G . Layered reward signalling through octopamine and dopamine in Drosophila. Nature. 2012; 492(7429):433-7. PMC: 3528794. DOI: 10.1038/nature11614. View

5.
Flavell S, Gogolla N, Lovett-Barron M, Zelikowsky M . The emergence and influence of internal states. Neuron. 2022; 110(16):2545-2570. PMC: 9391310. DOI: 10.1016/j.neuron.2022.04.030. View