Odorant mixtures elicit less variable and faster responses than pure odorants
| Autor: | Fabian Hersperger, Emiliano Marachlian, Ho Ka Chan, Fernando Locatelli, Paul Szyszka, Thomas Nowotny, Brian H. Smith |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Olfactory system Comptation Insecta Sensory Receptors Social Sciences Receptors Odorant purl.org/becyt/ford/1 [https] Honey Bees 0302 clinical medicine Animal Cells Psychology Biology (General) Materials Neurons Ecology Chemistry Coding Drosophila Melanogaster Chemical signaling Eukaryota Animal Models Bees Olfactory Bulb Smell Insects medicine.anatomical_structure Experimental Organism Systems Computational Theory and Mathematics Modeling and Simulation Physical Sciences Olfactory Receptors Sensory Perception Drosophila Cellular Types CIENCIAS NATURALES Y EXACTAS Research Article Signal Transduction Arthropoda QH301-705.5 Imaging Techniques Otras Ciencias Biológicas Materials Science Olfaction Complex Mixtures Research and Analysis Methods Olfactory Receptor Neurons Modelling Ciencias Biológicas 03 medical and health sciences Cellular and Molecular Neuroscience Model Organisms ddc:570 Fluorescence Imaging Genetics medicine Animals purl.org/becyt/ford/1.6 [https] Molecular Biology Ecology Evolution Behavior and Systematics Olfactory receptor Organisms Biology and Life Sciences Afferent Neurons Cell Biology Models Theoretical Invertebrates Hymenoptera 030104 developmental biology Odor Cellular Neuroscience Odorants Animal Studies Biophysics 030217 neurology & neurosurgery Neuroscience |
| Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET PLoS Computational Biology PLoS Computational Biology, Vol 14, Iss 12, p e1006536 (2018) |
| ISSN: | 1553-734X |
| DOI: | 10.1371/journal.pcbi.1006536 |
| Popis: | In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simulations and physiological recordings in the olfactory system of insects. Our results suggest that mixtures allow faster and more reliable olfactory coding, which could be one of the reasons why animals often use mixtures in chemical signaling. Author summary Odorants are chemicals that bind to olfactory receptors, where they are transduced into electric signals. Although most natural olfactory stimuli are mixtures of several odorants, odor transduction has mainly been studied for pure odorants, and current models of odor transduction are inconsistent for mixtures. Here, we built a mathematical model of odor transduction that works consistently for both pure odorants and mixtures. Our analysis of the model revealed that for mixtures, responses are more stable across concentrations and are faster. Our findings suggest that due to the nature of odor transduction, mixtures are more effective stimuli than single odorants. |
| Databáze: | OpenAIRE |
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