Structured Odorant Response Patterns across a Complete Olfactory Receptor Neuron Population
| Autor: | Yu Hu, Jessleen K. Kanwal, Christopher J. Tabone, Matthew E. Berck, Jacob Baron, Aravinthan D. T. Samuel, Gaetan Vignoud, Guangwei Si |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Olfactory receptor neuron Population Biology Receptors Odorant Article Olfactory Receptor Neurons Temporal filter 03 medical and health sciences 0302 clinical medicine Calcium imaging medicine Animals education education.field_of_study Odor perception Olfactory receptor musculoskeletal neural and ocular physiology General Neuroscience fungi Brain Smell Drosophila melanogaster 030104 developmental biology medicine.anatomical_structure Odor Larva Sensory Thresholds Odorants Drosophila sense organs Neuroscience psychological phenomena and processes 030217 neurology & neurosurgery |
| Zdroj: | Neuron. 101:950-962.e7 |
| ISSN: | 0896-6273 |
| DOI: | 10.1016/j.neuron.2018.12.030 |
| Popis: | Summary Odor perception allows animals to distinguish odors, recognize the same odor across concentrations, and determine concentration changes. How the activity patterns of primary olfactory receptor neurons (ORNs), at the individual and population levels, facilitate distinguishing these functions remains poorly understood. Here, we interrogate the complete ORN population of the Drosophila larva across a broadly sampled panel of odorants at varying concentrations. We find that the activity of each ORN scales with the concentration of any odorant via a fixed dose-response function with a variable sensitivity. Sensitivities across odorants and ORNs follow a power-law distribution. Much of receptor sensitivity to odorants is accounted for by a single geometrical property of molecular structure. Similarity in the shape of temporal response filters across odorants and ORNs extend these relationships to fluctuating environments. These results uncover shared individual- and population-level patterns that together lend structure to support odor perceptions. |
| Databáze: | OpenAIRE |
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