Evidence map›Paper›PMID 25652840›Full record

ArticleProceedings. Biological sciences2015

Odourant dominance in olfactory mixture processing: what makes a strong odourant?

Marco Schubert, Jean-Christophe Sandoz, Giovanni Galizia, Martin Giurfa

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Biological constraints on configural odour mixture perception.The Journal of experimental biology · 2022
    Article
  2. Olfactory coding in honeybees.Cell and tissue research · 2021
    Review
  3. Article
  4. Competitive binding predicts nonlinear responses of olfactory receptors to complex mixtures.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  5. Odor Stimuli: Not Just Chemical Identity.Frontiers in physiology · 2019
    Review
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Marco SchubertResearch Center on Animal Cognition, Université de Toulouse, 118 Route de Narbonne, Toulouse Cedex 9 31062, France Research Center on Animal Cognition, CNRS, 118 Route de Narbonne, Toulouse Cedex 9 31062, France.
Jean-Christophe SandozResearch Center on Animal Cognition, Université de Toulouse, 118 Route de Narbonne, Toulouse Cedex 9 31062, France Research Center on Animal Cognition, CNRS, 118 Route de Narbonne, Toulouse Cedex 9 31062, France Evolution Genomes and Speciation Lab, UPR 9034, CNRS, Avenue de la Terrasse, Bâtiment 13, Boite Postale 1, Gif sur Yvette 91198, France.
Giovanni GaliziaDepartment of Biology, University of Konstanz, Konstanz 78457, Germany.
Martin GiurfaResearch Center on Animal Cognition, Université de Toulouse, 118 Route de Narbonne, Toulouse Cedex 9 31062, France Research Center on Animal Cognition, CNRS, 118 Route de Narbonne, Toulouse Cedex 9 31062, France martin.giurfa@univ-tlse3.fr.
Centre National de la Recherche Scientifique · FRCentre de Recherches sur la Cognition Animale · FRUniversity of Konstanz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The question of how animals process stimulus mixtures remains controversial as opposing views propose that mixtures are processed analytically, as the sum of their elements, or holistically, as unique entities different from their elements. Overshadowing is a widespread phenomenon that can help decide between these alternatives. In overshadowing, an individual trained with a binary mixture learns one element better at the expense of the other. Although element salience (learning success) has been suggested as a main explanation for overshadowing, the mechanisms underlying this phenomenon remain unclear. We studied olfactory overshadowing in honeybees to uncover the mechanisms underlying olfactory-mixture processing. We provide, to our knowledge, the most comprehensive dataset on overshadowing to date based on 90 experimental groups involving more than 2700 bees trained either with six odourants or with their resulting 15 binary mixtures. We found that bees process olfactory mixtures analytically and that salience alone cannot predict overshadowing. After normalizing learning success, we found that an unexpected feature, the generalization profile of an odourant, was determinant for overshadowing. Odourants that induced less generalization enhanced their distinctiveness and became dominant in the mixture. Our study thus uncovers features that determine odourant dominance within olfactory mixtures and allows the referring of this phenomenon to differences in neural activity both at the receptor and the central level in the insect nervous system.

Indexed as

AlcoholsAldehydesAnimalsBeesBehavior, AnimalDiscrimination LearningKetonesOdorantsSmellAlcoholsAldehydesKetoneshoneybeesmixture processingodourant dominanceolfactionolfactory learningovershadowing

Identifiers

PMID25652840
PMCPMC4344151
OpenAlexW1990186999

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.