Evidence map›Paper›PMID 24600405›Full record

ArticleFrontiers in physiology2014

The banana code-natural blend processing in the olfactory circuitry of Drosophila melanogaster.

Marco Schubert, Bill S Hansson, Silke Sachse

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Recalibrating Olfactory Neuroscience to the Range of Naturally Occurring Odor Concentrations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  3. Article
  4. Article
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  9. Review
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  11. Article
  12. Food-derived volatiles enhance consumption inThe Journal of experimental biology · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. A statistical property of fly odor responses is conserved across odors.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  17. Article
  18. 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 at 2 institutions in 1 country.

Marco SchubertDepartment of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology Jena, Germany.
Bill S HanssonDepartment of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology Jena, Germany.
Silke SachseDepartment of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology Jena, Germany.
Max Planck Institute for Chemical Ecology · DEMax Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Odor information is predominantly perceived as complex odor blends. For Drosophila melanogaster one of the most attractive blends is emitted by an over-ripe banana. To analyze how the fly's olfactory system processes natural blends we combined the experimental advantages of gas chromatography and functional imaging (GC-I). In this way, natural banana compounds were presented successively to the fly antenna in close to natural occurring concentrations. This technique allowed us to identify the active odor components, use these compounds as stimuli and measure odor-induced Ca(2+) signals in input and output neurons of the Drosophila antennal lobe (AL), the first olfactory neuropil. We demonstrate that mixture interactions of a natural blend are very rare and occur only at the AL output level resulting in a surprisingly linear blend representation. However, the information regarding single components is strongly modulated by the olfactory circuitry within the AL leading to a higher similarity between the representation of individual components and the banana blend. This observed modulation might tune the olfactory system in a way to distinctively categorize odor components and improve the detection of suitable food sources. Functional GC-I thus enables analysis of virtually any unknown natural odorant blend and its components in their relative occurring concentrations and allows characterization of neuronal responses of complete neural assemblies. This technique can be seen as a valuable complementary method to classical GC/electrophysiology techniques, and will be a highly useful tool in future investigations of insect-insect and insect-plant chemical interactions.

Indexed as

blend codingDrosophilagas chromatographyinsect antennal lobein vivo calcium imagingolfaction

Identifiers

PMID24600405
PMCPMC3929855
OpenAlexW2043753649

What OpenQuestion holds

Textmetadata
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.