Integration of the olfactory code across dendritic claws of single mushroom body neurons

By Eyal Gruntman, Glenn C. Turner. 2013

165 citations recorded by the source corpus.

In the olfactory system, sensory inputs are arranged in different glomerular channels, which respond in combinatorial ensembles to the various chemical features of an odor. We investigated where and how this combinatorial code is read out deeper in the brain. We exploited the unique morphology of neurons in the Drosophila mushroom body, which receive input on large dendritic claws. Imaging odor responses of these dendritic claws revealed that input channels with distinct odor tuning converge on individual mushroom body neurons. We determined how these inputs interact to drive the cell to spike threshold using intracellular recordings to examine mushroom body responses to optogenetically controlled input. Our results provide an elegant explanation for the characteristic selectivity of mushroom body neurons: these cells receive different types of input and require those inputs to be coactive to spike. These results establish the mushroom body as an important site of integration in the fly olfactory system.

Subfields: Cellular and Molecular Neuroscience, Genetics, Sensory Systems

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Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, positive): “This includes mixing of glomeruli with different odour tuning (Gruntman and Turner, 2013) or sensory modalities (Yagi et al., 2016; Eichler et al., 2017).”
Coordinated and Compartmentalized Neuromodulation Shapes Sensory Processing in Drosophila (2015, positive): “In the mushroom body, odors are encoded as sparse ensembles of activated Kenyon cells (KCs) (Campbell et al., 2013), each of which integrates input from diverse combinations of olfactory glomeruli in the calyx (Caron et al., 2013; Gruntman and Turner, 2013).”
The neuronal architecture of the mushroom body provides a logic for associative learning (2014, neutral): “The KCs have been divided into three classes, γ, α′/β′, and α/β, with each class projecting Figure 2.”
Optimal degrees of synaptic connectivity (2017, unknown): “, 2014) and by Kenyon cells, the granule-cell analogs of the mushroom body, are a random subset of the afferents to these structures (Murthy et al., 2008; Caron et al., 2013; Gruntman and Turner, 2013).”
Origins of Cell-Type-Specific Olfactory Processing in the Drosophila Mushroom Body Circuit. (2017, unknown): “Importantly, each KC receives on average seven inputs from a random set of PNs (Caron et al., 2013) with some local rules (Gruntman and Turner, 2013).”
Gustatory Learning and Processing in the Drosophila Mushroom Bodies (2015, background): “Activity in different ensembles of KCs encodes unique odor blends, enabling associations between a vast array of odor combinations and learned behaviors (Murthy et al., 2008; Caron et al., 2013; Gruntman and Turner, 2013).”
Neuronal mechanisms underlying innate and learned olfactory processing in Drosophila. (2019, background): “This connectivity is not stereotyped [58,59], but is 178 also not purely stochastic, as PNs with similar odor tuning profiles, and from the same 179 glomeruli, tend to converge on the same KCs [57,60].”
A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster (2017, background): “This may explain the above-chance convergence of DA1, DC3, and VA1d PNs onto postsynaptic KCs observed by Gruntman and Turner (2013).”
The complete connectome of a learning and memory centre in an insect brain (2017, background): “This suggests that multi-claw KCs may require input from multiple PNs to respond, assuring combinatorial selectivity 31;32 .”