Evidence map›Paper›PMID 26936247›Full record

ArticleProceedings. Biological sciences2016

How social network structure affects decision-making in Drosophila melanogaster.

Cristian Pasquaretta, Marine Battesti, Elizabeth Klenschi, Christophe A H Bousquet, Cedric Sueur, Frederic Mery

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in behavioral neuroscience · 2025
    Review
  4. Article
  5. Article
  6. Indirect genetic effects for social network structure inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Behavior Individuality: A Focus onFrontiers in physiology · 2021
    Review
  11. Using Flies to Understand Social Networks.Frontiers in neural circuits · 2021
    Review
  12. Article
  13. Behavioral and environmental contributions to drosophilid social networks.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Cristian PasquarettaDépartement Ecologie, Physiologie et Ethologie, Centre National de la Recherche Scientifique, Strasbourg, France Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France.
Marine BattestiEvolution, Génomes, Comportement and Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris Saclay, 91198 Gif-sur-Yvette, France.
Elizabeth KlenschiDépartement Ecologie, Physiologie et Ethologie, Centre National de la Recherche Scientifique, Strasbourg, France Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France.
Christophe A H BousquetDépartement Ecologie, Physiologie et Ethologie, Centre National de la Recherche Scientifique, Strasbourg, France Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France.
Cedric SueurDépartement Ecologie, Physiologie et Ethologie, Centre National de la Recherche Scientifique, Strasbourg, France Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France.
Frederic MeryEvolution, Génomes, Comportement and Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris Saclay, 91198 Gif-sur-Yvette, France frederic.mery@egce.cnrs-gif.fr.ORCID 0000-0002-1767-7953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animals use a number of different mechanisms to acquire crucial information. During social encounters, animals can pass information from one to another but, ideally, they would only use information that benefits survival and reproduction. Therefore, individuals need to be able to determine the value of the information they receive. One cue can come from the behaviour of other individuals that are already using the information. Using a previous extended dataset, we studied how individual decision-making is influenced by the behaviour of conspecifics in Drosophila melanogaster. We analysed how uninformed flies acquire and later use information about oviposition site choice they learn from informed flies. Our results suggest that uninformed flies adjust their future choices based on how coordinated the behaviours of the informed individuals they encounter are. Following social interaction, uninformed flies tended either to collectively follow the choice of the informed flies or to avoid it. Using social network analysis, we show that this selective information use seems to be based on the level of homogeneity of the social network. In particular, we found that the variance of individual centrality parameters among informed flies was lower in the case of a 'follow' outcome compared with the case of an 'avoid' outcome.

Indexed as

AnimalsDecision MakingDrosophila melanogasterFemaleLearningOvipositionSocial BehaviorDrosophilaoviposition choicesocial learningsocial network

Identifiers

PMID26936247
PMCPMC4810861

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.