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Taste quality and hunger interactions in a feeding sensorimotor circuit.


ABSTRACT: Taste detection and hunger state dynamically regulate the decision to initiate feeding. To study how context-appropriate feeding decisions are generated, we combined synaptic resolution circuit reconstruction with targeted genetic access to specific neurons to elucidate a gustatory sensorimotor circuit for feeding initiation in adult Drosophila melanogaster. This circuit connects gustatory sensory neurons to proboscis motor neurons through three intermediate layers. Most neurons in this pathway are necessary and sufficient for proboscis extension, a feeding initiation behavior, and respond selectively to sugar taste detection. Pathway activity is amplified by hunger signals that act at select second-order neurons to promote feeding initiation in food-deprived animals. In contrast, the feeding initiation circuit is inhibited by a bitter taste pathway that impinges on premotor neurons, illuminating a local motif that weighs sugar and bitter taste detection to adjust the behavioral outcomes. Together, these studies reveal central mechanisms for the integration of external taste detection and internal nutritive state to flexibly execute a critical feeding decision.

SUBMITTER: Shiu PK 

PROVIDER: S-EPMC9292995 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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Taste quality and hunger interactions in a feeding sensorimotor circuit.

Shiu Philip K PK   Sterne Gabriella R GR   Engert Stefanie S   Dickson Barry J BJ   Scott Kristin K  

eLife 20220706


Taste detection and hunger state dynamically regulate the decision to initiate feeding. To study how context-appropriate feeding decisions are generated, we combined synaptic resolution circuit reconstruction with targeted genetic access to specific neurons to elucidate a gustatory sensorimotor circuit for feeding initiation in adult <i>Drosophila melanogaster</i>. This circuit connects gustatory sensory neurons to proboscis motor neurons through three intermediate layers. Most neurons in this p  ...[more]

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