Evidence map›Paper›PMID 30532147›Full record

ArticlePLoS computational biology2018

Odorant mixtures elicit less variable and faster responses than pure odorants.

Ho Ka Chan, Fabian Hersperger, Emiliano Marachlian, Brian H Smith, Fernando Locatelli, Paul Szyszka, Thomas Nowotny

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. CanInsects · 2026
    Article
  3. Article
  4. Article
  5. Multielectrode recordings of cockroach antennal lobe neurons in response to temporal dynamics of odor concentrations.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Proceedings. Biological sciences · 2019
    Article
  11. Article
  12. Article
  13. Odor Stimuli: Not Just Chemical Identity.Frontiers in physiology · 2019
    Review
  14. Review
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

7 authors.

Ho Ka ChanSussex Neuroscience, School of Engineering and Informatics, University of Sussex, Falmer, Brighton, United Kingdom.ORCID 0000-0003-0880-4161
Fabian HerspergerDepartment of Neuroscience, University of Konstanz, Konstanz, Germany.
Emiliano MarachlianInstituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-UBA-CONICET) and Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, Argentina.ORCID 0000-0001-9826-5696
Brian H SmithSchool of Life Sciences, Arizona State University, Tempe, Arizona, United States of America.
Fernando LocatelliInstituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-UBA-CONICET) and Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, Argentina.
Paul SzyszkaDepartment of Neuroscience, University of Konstanz, Konstanz, Germany.ORCID 0000-0003-2043-6656
Thomas NowotnySussex Neuroscience, School of Engineering and Informatics, University of Sussex, Falmer, Brighton, United Kingdom.ORCID 0000-0002-4451-915X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AnimalsBeesComplex MixturesInsectaModels, TheoreticalOdorantsOlfactory BulbOlfactory Receptor NeuronsReceptors, OdorantSmellComplex MixturesReceptors, Odorant

Identifiers

PMID30532147
PMCPMC6287832

What OpenQuestion holds

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LicenceCC BY
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.