Evidence map›Paper›PMID 31896746›Full record

ArticleNature communications2020

Early-exposure to new sex pheromone blends alters mate preference in female butterflies and in their offspring.

Emilie Dion, Li Xian Pui, Katie Weber, Antónia Monteiro

Abstract read
In one paragraph

Article in Nature communications, 2020. 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. Review
  6. Article
  7. Divergence of chemosensing during the early stages of speciation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. 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

4 authors.

Emilie DionDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore. dion.emilie@ymail.com.ORCID http://orcid.org/0000-0001-9296-738X
Li Xian PuiDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
Katie WeberDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
Antónia MonteiroDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore. antonia.monteiro@nus.edu.sg.ORCID http://orcid.org/0000-0001-9696-459X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the diversity of sex pheromone communication systems across insects is well documented, the mechanisms that lead to such diversity are not well understood. Sex pheromones constitute a species-specific system of sexual communication that reinforces interspecific reproductive isolation. When odor blends evolve, the efficacy of male-female communication becomes compromised, unless preference for novel blends also evolves. We explore odor learning as a possible mechanism leading to changes in sex pheromone preferences in the butterfly Bicyclus anynana. Our experiments reveal mating patterns suggesting that mating bias for new blends can develop following a short learning experience, and that this maternal experience impacts the mating outcome of offspring without further exposure. We propose that odor learning can be a key factor in the evolution of sex pheromone blend recognition and in chemosensory speciation.

Indexed as

AlcoholsAldehydesAnimalsButterfliesFatty AlcoholsFemaleMaleMating Preference, AnimalSex AttractantsTerpenesWings, Animal6,10,14-trimethylpentadecan-2-ol9,10-tetradecenolAlcoholsAldehydesFatty AlcoholshexadecanalSex AttractantsTerpenes

Identifiers

PMID31896746
PMCPMC6940390

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.