Generation of feeding decisions in the fly brain
Generation of feeding decisions in the fly brain
批准号:
9908070
负责人:
Gabriella Rose Sterne
金额:
$6.93万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-01 至 2021-04-30
关键词:
Afferent NeuronsAnatomyAnimal ModelAnimalsBehaviorBehavioralBiological ModelsBrainCaenorhabditis elegansCollectionComparative StudyComplexDecision MakingDiabetes MellitusDiseaseDrosophila genusEnvironmentFeeding behaviorsFoodGenerationsGeneticGenetic EpistasisHungerIndividualIngestionInsectaInterneuronsKnowledgeLabelMammalsModalityMolecular GeneticsMotorMotor NeuronsMovementMusNervous system structureNeuronsObesityOlfactory PathwaysOrganOrganismOutputPalatePositioning AttributeProcessRecording of previous eventsSensorySocietiesSodium ChlorideSynapsesTaste PerceptionTranslatingVertebral columnWaterWorkcell typedesigndetectorexperimental studyfeedingflyfood qualityhuman diseasein vivoin vivo calcium imaginginsect diseaseinsightneural circuitneural networkneuron componentnovelprogramsrelating to nervous systemsugartransmission process
中文摘要
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英文摘要
Appropriate feeding decisions are essential to individual and species survival. In
Drosophila, like mammals, neural circuits integrate information about food quality and internal
nutritive state to generate feeding decisions. However, the neural circuitry that arrives at and
carries out feeding decisions is unknown. Here, we propose to produce the first circuit-level view
of Drosophila feeding decision-making circuitry. We will define feeding circuits starting at a
previously identified subesophageal zone (SEZ) interneuron, Feeding neuron (Fdg), which
generates a complex feeding sequence when activated. Furthermore, Fdg only responds to
presentation of palatable food in starved flies, suggesting that Fdg receives information about
both food quality and hunger state. Using candidate synaptic partners identified in a preliminary
behavioral screen of a novel SEZ split-Gal4 collection, we will define the interneurons that relay
information about hunger state and food quality to Fdg and investigate how neurons
downstream of Fdg work together to generate a feeding motor sequence. The completion of
these experiments will produce the first-ever functional wiring diagram of Drosophila gustatory
circuitry and will provide insight into the types of computations neural circuits perform to
generate and carry out feeding decisions. Since complex neural networks are thought to arise
by extending and combining simple networks arising earlier in evolutionary history, the insights
gained by delineating Drosophila feeding circuitry will form the basis for understanding the
neural circuits that generate feeding decisions in more complex organisms.
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