Molecular characterization of gustatory second-order neurons reveals integrative mechanisms of gustatory and metabolic information

Animals must balance the urgent need to find food during starvation with the critical necessity to avoid toxic substances to ensure their survival. In <i>Drosophila</i>, specialized Gustatory Receptors (GRs) expressed in Gustatory Receptor Neurons (GRNs) are critical for distinguishing between nutritious and potentially toxic food. GRNs project their axons from taste organs to the Subesophageal Zone (SEZ) in the Central Brain (CB) of <i>Drosophila</i>, where gustatory information is processed. Although the roles of GRs and GRNs are well-documented, the processing of gustatory information in the SEZ remains unclear. To better understand gustatory sensory processing and feeding decision-making, we molecularly characterized the first layer of gustatory interneurons, referred to as Gustatory Second-Order Neurons (G2Ns), which receive direct input from GRNs. Using trans-synaptic tracing with <i>trans-</i>Tango, cell sorting, and bulk RNAseq under fed and starved conditions, we discovered that G2Ns vary based on gustatory input and that their molecular profile changes with the fly's metabolic state. Further data analysis has revealed that a pair of neurons in the SEZ, expressing the neuropeptide Leucokinin (SELK neurons), receive simultaneous input from GRNs sensing bitter (potentially toxic) and sweet (nutritious) information. Additionally, these neurons also receive inputs regarding the starvation levels of the fly. These results highlight a novel mechanism of feeding regulation and metabolic integration.

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Publication Details

Journal
eLife
Published
2024-11-08
DOI
https://doi.org/10.7554/elife.100947
Citations
3
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
0.80

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article

Molecular characterization of gustatory second-order neurons reveals integrative mechanisms of gustatory and metabolic information

Juan Antonio Sánchez‐Alcañiz, Rubén Mollá-Albaladejo, Manuel Jiménez-Caballero
3 citations
eLife
Neurobiology and Insect Physiology Research
0.80
article

Molecular characterization of gustatory second-order neurons reveals integrative mechanisms of gustatory and metabolic information

Juan Antonio Sánchez‐Alcañiz, Rubén Mollá-Albaladejo, Manuel Jiménez-Caballero
article en
3 citations

Abstract

Animals must balance the urgent need to find food during starvation with the critical necessity to avoid toxic substances to ensure their survival. In <i>Drosophila</i>, specialized Gustatory Receptors (GRs) expressed in Gustatory Receptor Neurons (GRNs) are critical for distinguishing between nutritious and potentially toxic food. GRNs project their axons from taste organs to the Subesophageal Zone (SEZ) in the Central Brain (CB) of <i>Drosophila</i>, where gustatory information is processed. Although the roles of GRs and GRNs are well-documented, the processing of gustatory information in the SEZ remains unclear. To better understand gustatory sensory processing and feeding decision-making, we molecularly characterized the first layer of gustatory interneurons, referred to as Gustatory Second-Order Neurons (G2Ns), which receive direct input from GRNs. Using trans-synaptic tracing with <i>trans-</i>Tango, cell sorting, and bulk RNAseq under fed and starved conditions, we discovered that G2Ns vary based on gustatory input and that their molecular profile changes with the fly's metabolic state. Further data analysis has revealed that a pair of neurons in the SEZ, expressing the neuropeptide Leucokinin (SELK neurons), receive simultaneous input from GRNs sensing bitter (potentially toxic) and sweet (nutritious) information. Additionally, these neurons also receive inputs regarding the starvation levels of the fly. These results highlight a novel mechanism of feeding regulation and metabolic integration.

eLifeVol. 13
Instituto de Neurociencias (ES)
Agencia Estatal de Investigación
Openalex Percentile: Top 28%
Neurobiology and Insect Physiology Research
0.80
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