Nature CommunicationsNeurosciencePeer-reviewed journal article
An expression atlas of chemosensory ionotropic glutamate receptors identifies a molecular basis of carbonation detection
Juan Antonio Sánchez‐AlcañiziD, Ana F. SilberingiD, Vincent CrosetiD, Giovanna Zappia, Anantha Krishna SivasubramaniamiD, Liliane Abuin, Saumya Yashmohini SahaiiD, Daniel MünchiD, Kathrin SteckiD, Thomas O. AueriD, Steeve CruchetiD, G. Larisa Neagu-Maier, Simon G. SprecheriD, Carlos RibeiroiD, Nilay YapiciiD, Richard BentoniD
Abstract
Taste perception is thought to involve the encoding of appetitive and aversive chemical cues in food through a limited number of sensory pathways. Through expression analysis of the complete repertoire of Drosophila Ionotropic Receptors (IRs), a sensory subfamily of ionotropic glutamate receptors, we reveal that the majority of IRs is expressed in diverse peripheral neuron populations across gustatory organs in both larvae and adults, implying numerous roles in taste-evoked behaviours. We characterise Ir56d, which labels two anatomically-distinct classes of neurons in the proboscis: one represents a subset of sugar- and fatty acid-sensing neurons, while the other responds to carbonated solutions and fatty acids. Mutational analysis shows that IR56d, together with the broadly-expressed co-receptors IR25a and IR76b, is essential for physiological activation by carbonation and fatty acids, but not sucrose. We further demonstrate that carbonation is behaviourally attractive to flies (in an IR56d-dependent manner), but in a distinct way to other appetitive stimuli. Our work provides a valuable toolkit for investigating the taste functions of IRs, defines a molecular basis of carbonation sensing, and illustrates how the gustatory system uses combinatorial expression of sensory receptors in distinct neuron types to coordinate behaviour.
- organism: Drosophila
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: statistical model
- approach: experimental assay
- Citations
- 157
- FWCI
- 6.37
- Field percentile
- top 2%
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