Perinatal Undernutrition and Programming of Hypothalamic Feeding Circuits

Sophie M. Steculorum; Sebastien G. Bouret

doi:10.1515/jpm.2010.182

Perinatal Undernutrition and Programming of Hypothalamic Feeding Circuits

Journal of Perinatal Medicine ◽

10.1515/jpm.2010.182 ◽

2010 ◽

Vol 38 (s1) ◽

Author(s):

Sophie M. Steculorum ◽

Sebastien G. Bouret

Keyword(s):

Feeding Circuits

Download Full-text

Faculty Opinions recommendation of Sensory detection of food rapidly modulates arcuate feeding circuits.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.725364173.793504539 ◽

2015 ◽

Author(s):

Kent Berridge ◽

Kevin Urstadt

Keyword(s):

Feeding Circuits

Download Full-text

A closed-loop optogenetic screen for neurons controlling feeding in Drosophila

G3 Genes|Genome|Genetics ◽

10.1093/g3journal/jkab073 ◽

2021 ◽

Author(s):

Celia K S Lau ◽

Meghan Jelen ◽

Michael D Gordon

Keyword(s):

Drosophila Melanogaster ◽

Expression Pattern ◽

Sensory Neurons ◽

Closed Loop ◽

Higher Order ◽

Taste Detection ◽

Proof Of Principle ◽

Feeding Circuits

Abstract Feeding is an essential part of animal life that is greatly impacted by the sense of taste. Although the characterization of taste-detection at the periphery has been extensive, higher order taste and feeding circuits are still being elucidated. Here, we use an automated closed-loop optogenetic activation screen to detect novel taste and feeding neurons in Drosophila melanogaster. Out of 122 Janelia FlyLight Project GAL4 lines preselected based on expression pattern, we identify six lines that acutely promote feeding and 35 lines that inhibit it. As proof of principle, we follow up on R70C07-GAL4, which labels neurons that strongly inhibit feeding. Using split-GAL4 lines to isolate subsets of the R70C07-GAL4 population, we find both appetitive and aversive neurons. Furthermore, we show that R70C07-GAL4 labels putative second-order taste interneurons that contact both sweet and bitter sensory neurons. These results serve as a resource for further functional dissection of fly feeding circuits.

Download Full-text