de Tredern Eloïse, Manceau Dylan, Blanc Alexandre, Parameswaran Abhijit, Sakagiannis Panagiotis, Barre Chloe, Sus Victoria, Viscido Francesca, Akiki Perla, Hasan Md Amit, Autran Sandra, Laurent François, Nawrot Martin Paul, Masson Jean-Baptiste, Jovanic Tihana
Université Paris-Saclay, CNRS, Institut des neurosciences Paris-Saclay, Saclay, France.
Institut Pasteur, Université Paris Cité, CNRS UMR 3571, Decision and Bayesian Computation, Paris, France.
Nat Commun. 2025 Sep 2;16(1):8198. doi: 10.1038/s41467-025-61805-y.
An animal's feeding state changes its behavioral priorities and thus influences even nonfeeding-related decisions. How the feeding state information is transmitted to nonfeeding-related circuits and what circuit mechanisms are involved in biasing nonfeeding-related decisions remain open questions. By combining calcium imaging, neuronal manipulations, behavioral analysis and computational modeling, we determined that the competition between different aversive responses to mechanical cues is biased by changes in the feeding state. We found that this effect is achieved by the differential modulation of two different types of reciprocally connected inhibitory neurons promoting opposing actions. This modulation results in a more frequent active type of response and, less frequently, a protective type of response if larvae are fed sugar than when they are fed a balanced diet. Information about the internal state is conveyed to inhibitory neurons through homologs of the vertebrate neuropeptide Y, which is known to be involved in regulating feeding behavior.
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