Data for: A neural circuit for wind-guided olfactory navigation
Cite this dataset
Nagel, Katherine et al. (2022). Data for: A neural circuit for wind-guided olfactory navigation [Dataset]. Dryad. https://doi.org/10.5061/dryad.qnk98sfj1
To navigate towards a food source, animals must frequently combine odor cues that tell them what sources are useful with wind direction cues that tell them where the source can be found. Where and how these two cues are integrated to support navigation is unclear. Here we identify a pathway to the Drosophila fan-shaped body (FB) that encodes attractive odor and promotes upwind navigation. We show that neurons throughout this pathway encode odor, but not wind direction. Using connectomics, we identify FB local neurons called h∆C that receive input from this odor pathway and a previously described wind pathway. We show that h∆C neurons exhibit odor-gated, wind direction-tuned activity, that sparse activation of h∆C neurons promotes navigation in a reproducible direction, and that h∆C activity is required for persistent upwind orientation during odor. Based on connectome data, we develop a computational model showing how h∆C activity can promote navigation towards a goal such as an upwind odor source. Our results suggest that odor and wind cues are processed by separate pathways and integrated within the FB to support goal-directed navigation.
Behavioral data collected using a high-throughput wind tunnel paradigm in response to odor and optogenetic activation of different neural groups.
2-photon calcium imaging data in response to odor and widn stimuli delivered from different directions
confocal imaging data of expression patterns in different lines
Computational modeling data
Please see attached readme files and publication.
National Institute on Deafness and Other Communication Disorders, Award: R01DC017179
National Science Foundation, Award: IOS-1555933
National Science Foundation, Award: Neuronex: Odor2Action
McKnight Foundation, Award: Scholar Award
National Science Foundation, Award: IOS-204720
New York University, Award: Dean's Dissertation Fellowship