Evidence map›Paper›PMID 37490942›Full record

ArticleBiology letters2023

Repeated parallel differentiation of social learning differences in benthic and limnetic threespine stickleback fish.

Jason Keagy, Whitley Lehto, Ross Minter, Sarah Machniak, Oynx Baird, Janette W Boughman

Abstract read
In one paragraph

Article in Biology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jason KeagyDepartment of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-1235-4837
Whitley LehtoDepartment of Integrative Biology, and.ORCID 0000-0003-4210-6578
Ross MinterDepartment of Integrative Biology, and.ORCID 0000-0002-5437-5911
Sarah MachniakDepartment of Integrative Biology, and.
Oynx BairdDepartment of Integrative Biology, and.
Janette W BoughmanDepartment of Integrative Biology, and.ORCID 0000-0002-5731-7389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals can reduce sampling costs and increase foraging efficiency by using information provided by others. One simple form of social information use is delayed local enhancement or increased interest in a location because of the past presence of others. We tested for delayed local enhancement in two ecomorphs of stickleback fish, benthic and limnetic, from three different lakes with putative independent evolutionary origins. Two of these lakes have reproductively isolated ecomorphs (species-pairs), whereas in the third, a previously intact species-pair recently collapsed into a hybrid swarm. Benthic fish in both intact species-pair lakes were more likely to exhibit delayed local enhancement despite being more solitary than limnetic fish. Their behaviour and morphology suggest their current perceived risk and past evolutionary pressure from predation did not drive this difference. In the hybrid swarm lake, we found a reversal in patterns of social information use, with limnetic-looking fish showing delayed local enhancement rather than benthic-looking fish. Together, our results strongly support parallel differentiation of social learning differences in recently evolved fish species, although hybridization can apparently erode and possibly even reverse these differences.

Indexed as

SmegmamorphaSocial LearningAnimalsBiological EvolutionHybridization, GeneticLakesPredatory Behaviordelayed local enhancementparallel evolutionreverse speciationsocial learningstickleback

Identifiers

PMID37490942
PMCPMC10368488

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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.