ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2008
Competitive and noncompetitive odorant interactions in the early neural coding of odorant mixtures.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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79 citing papers in PubMed, 180 citations in OpenAlex.
- Elements of olfactory intelligence in Drosophila.Biological cybernetics · 2026Article
- Sparse input representations explain odor discrimination in complex, concentration-varying mixtures.bioRxiv : the preprint server for biology · 2026Article
- Mice and humans evaluate odor stimulus strength using common psychophysical principles.bioRxiv : the preprint server for biology · 2025Article
- Locusts employ neuronal sensory prioritization to reconcile two conflicting olfactory signals while aggregating.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Analyzing lognormal data: A nonmathematical practical guide.Pharmacological reviews · 2025Review
- Functional Characterization of a Female-Biased Chemoreceptor of the Codling Moth (Cydia pomonella) Responding to Aldehydes and Other Volatile Compounds.Journal of chemical ecology · 2025Article
- The CaThe Journal of physiology · 2024Article
- The primacy model and the structure of olfactory space.PLoS computational biology · 2024Article
- Intracellular Allosteric Antagonist of the Olfactory Receptor OR51E2.Molecular pharmacology · 2024Article
- Distinct information conveyed to the olfactory bulb by feedforward input from the nose and feedback from the cortex.Nature communications · 2024Article
- Microbial, proteomic, and metabolomic profiling of the estrous cycle in wild house mice.Microbiology spectrum · 2024Article
- Modeling and characterization of pure and odorant mixture processing in theFrontiers in physiology · 2024Article
- Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees.Scientific reports · 2023Article
- Biological constraints on configural odour mixture perception.The Journal of experimental biology · 2022Article
- Understanding responses to chemical mixtures: looking forward from the past.Chemical senses · 2022Article
- Paradoxical relationship between speed and accuracy in olfactory figure-background segregation.PLoS computational biology · 2021Article
- Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies.PLoS computational biology · 2021Article
- What the odor is not: Estimation by elimination.Physical review. E · 2021Article
- A physicochemical model of odor sampling.PLoS computational biology · 2021Article
- Effects of Multi-Component Backgrounds of Volatile Plant Compounds on Moth Pheromone Perception.Insects · 2021Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most olfactory receptor neurons (ORNs) express a single type of olfactory receptor that is differentially sensitive to a wide variety of odorant molecules. The diversity of possible odorant-receptor interactions raises challenging problems for the coding of complex mixtures of many odorants, which make up the vast majority of real world odors. Pure competition, the simplest kind of interaction, arises when two or more agonists can bind to the main receptor site, which triggers receptor activation, although only one can be bound at a time. Noncompetitive effects may result from various mechanisms, including agonist binding to another site, which modifies the receptor properties at the main binding site. Here, we investigated the electrophysiological responses of rat ORNs in vivo to odorant agonists and their binary mixtures and interpreted them in the framework of a quantitative model of competitive interaction between odorants. We found that this model accounts for all concentration-response curves obtained with single odorants and for about half of those obtained with binary mixtures. In the other half, the shifts of curves along the concentration axis and the changes of maximal responses with respect to model predictions, indicate that noncompetitive interactions occur and can modulate olfactory receptors. We conclude that, because of their high frequency, the noncompetitive interactions play a major role in the neural coding of natural odorant mixtures. This finding implies that the CNS activity caused by mixtures will not be easily analyzed into components, and that mixture responses will be difficult to generalize across concentration.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.