Evidence map›Paper›PMID 25833217›Full record

ArticleJournal of chemical ecology2015

Floral volatiles in a sapromyiophilous plant and their importance in attracting house fly pollinators.

Pietro Zito, Stefan Dötterl, Maurizio Sajeva

Abstract read
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Article in Journal of chemical ecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Diverse roles of microbial indole compounds in eukaryotic systems.Biological reviews of the Cambridge Philosophical Society · 2021
    Review
  5. Floral Scent Evolution in the GenusPlants (Basel, Switzerland) · 2021
    Article
  6. Article
  7. Identification of the Volatile Components ofMolecules (Basel, Switzerland) · 2020
    Article
  8. Article
  9. 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.

Pietro ZitoDepartment of Biological Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, Via Archirafi 18, 90123, Palermo, Italy, zitopietro@gmail.com.
Stefan Dötterl
Maurizio Sajeva

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Floral scent in sapromyiophilous plants often consists of complex blends with not only fetid (e.g., sulfides) but also sweet (e.g., terpenoids) volatile organic compounds, and a recent study suggests that both groups of compounds are involved in pollinator attraction. However, little is known about the number and identity of compounds involved in pollinator attraction in these deceptive plants that mimic breeding sites of fly pollinators. In the present paper, we studied flower volatiles of sapromyiophilous Periploca laevigata and their capability to elicit biological responses in one of the pollinator species, Musca domestica. Floral volatiles were collected by dynamic headspace and analyzed by gas chromatography/mass spectrometry (GC/MS), and electrophysiological (GC/EAD) and behavioral assays (two choice olfactometer) were conducted. In the floral scent of P. laevigata, we detected 44 compounds, of which indole, β-caryophyllene, and germacrene D, as well as dimethyl trisulfide, which was present in trace amounts, were electrophysiologically active in the antennae of M. domestica. However, when we evaluated in behavioral experiments the attractiveness of the electrophysiologically active compounds (complete mixture against partial mixtures or against single compounds), we found that indole was the only attractive compound for the flies.

Indexed as

PollinationAnimalsApocynaceaeArthropod AntennaeGas Chromatography-Mass SpectrometryHousefliesOlfactometryOlfactory PerceptionVolatile Organic CompoundsVolatile Organic Compounds

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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.