Evidence map›Paper›PMID 25726692›Full record

ArticleScientific reports2015

The scent of mixtures: rules of odour processing in ants.

Margot Perez, Martin Giurfa, Patrizia d'Ettorre

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Odor Stimuli: Not Just Chemical Identity.Frontiers in physiology · 2019
    Review
  6. Article
  7. Article
  8. Receptor arrays optimized for natural odor statistics.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
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

3 authors.

Margot Perez1] Research Center on Animal Cognition; University of Toulouse; UPS; 118 route de Narbonne, F-31062 Toulouse Cedex 9, France [2] Research Center on Animal Cognition; CNRS; 118 route de Narbonne, F-31062 Toulouse Cedex 9, France [3] Laboratory of Experimental and Comparative Ethology, University Paris 13, Sorbonne Paris Cité, Villetaneuse, France.
Martin Giurfa1] Research Center on Animal Cognition; University of Toulouse; UPS; 118 route de Narbonne, F-31062 Toulouse Cedex 9, France [2] Research Center on Animal Cognition; CNRS; 118 route de Narbonne, F-31062 Toulouse Cedex 9, France.
Patrizia d'EttorreLaboratory of Experimental and Comparative Ethology, University Paris 13, Sorbonne Paris Cité, Villetaneuse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural odours are complex blends of numerous components. Understanding how animals perceive odour mixtures is central to multiple disciplines. Here we focused on carpenter ants, which rely on odours in various behavioural contexts. We studied overshadowing, a phenomenon that occurs when animals having learnt a binary mixture respond less to one component than to the other, and less than when this component was learnt alone. Ants were trained individually with alcohols and aldehydes varying in carbon-chain length, either as single odours or binary mixtures. They were then tested with the mixture and the components. Overshadowing resulted from the interaction between chain length and functional group: alcohols overshadowed aldehydes, and longer chain lengths overshadowed shorter ones; yet, combinations of these factors could cancel each other and suppress overshadowing. Our results show how ants treat binary olfactory mixtures and set the basis for predictive analyses of odour perception in insects.

Indexed as

OdorantsAldehydesAnimalsAntsMemoryOlfactory PerceptionAldehydes

Identifiers

PMID25726692
PMCPMC4345350

What OpenQuestion holds

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Registered trials

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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.