Evidence map›Paper›PMID 38308224›Full record

ArticleBMC ecology and evolution2024

Phylogeography and phenotypic wing shape variation in a damselfly across populations in Europe.

Y Yildirim, D Kristensson, D Outomuro, D Mikolajewski, P Rödin Mörch, S Sniegula, F Johansson

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. IsCurrent research in parasitology & vector-borne diseases · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Y YildirimDepartment of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden.
D KristenssonDepartment of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden.
D OutomuroDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
D MikolajewskiInstitut für Biologie, Freie Universität Berlin, Berlin, Germany.
P Rödin MörchDepartment of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden.
S SniegulaDepartment of Ecosystem Conservation, Institute of Nature Conservation, Polish Academy of Sciences, Kraków, Poland.
F JohanssonDepartment of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden. frank.johansson@ebc.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDescribing geographical variation in morphology of organisms in combination with data on genetic differentiation and biogeography can provide important information on how natural selection shapes such variation. Here we study genetic structure using ddRAD seq and wing shape variation using geometric morphometrics in 14 populations of the damselfly Lestes sponsa along its latitudinal range in Europe.

resultsThe genetic analysis showed a significant, yet relatively weak population structure with high genetic heterozygosity and low inbreeding coefficients, indicating that neutral processes contributed very little to the observed wing shape differences. The genetic analysis also showed that some regions of the genome (about 10%) are putatively shaped by selection. The phylogenetic analysis showed that the Spanish and French populations were the ancestral ones with northern Swedish and Finnish populations being the most derived ones. We found that wing shape differed significantly among populations and showed a significant quadratic (but weak) relationship with latitude. This latitudinal relationship was largely attributed to allometric effects of wing size, but non-allometric variation also explained a portion of this relationship. However, wing shape showed no phylogenetic signal suggesting that lineage-specific variation did not contribute to the variation along the latitudinal gradient. In contrast, wing size, which is correlated with body size in L. sponsa, had a strong negative correlation with latitude.

conclusionOur results suggest a relatively weak population structure among the sampled populations across Europe, but a clear differentiation between south and north populations. The observed geographic phenotypic variation in wing shape may have been affected by different local selection pressures or environmental effects.

Indexed as

OdonataAnimalsBiological Variation, PopulationEuropePhylogenyPhylogeographyAdaptationDamselflyLatitudePhylogeographyPopulation structureWing shape

Identifiers

PMID38308224
PMCPMC10838002

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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.