Evidence map›Paper›PMID 33376238›Full record

ArticleScientific reports2020

Demographic analyses of a new sample of haploid genomes from a Swedish population of Drosophila melanogaster.

Adamandia Kapopoulou, Martin Kapun, Bjorn Pieper, Pavlos Pavlidis, Ricardo Wilches, Pablo Duchen, Wolfgang Stephan, Stefan Laurent

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ecology and Diversity of UrbanEcology and evolution · 2026
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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

8 authors.

Adamandia KapopoulouInstitute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012, Bern, Switzerland.
Martin KapunDepartment of Evolutionary Biology and Environmental Sciences, University of Zurich, 8057, Zurich, Switzerland.
Bjorn PieperDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829, Köln, Germany.
Pavlos PavlidisInstitute of Computer Science, Foundation for Research and Technology-Hellas, Crete, Greece.
Ricardo WilchesSection of Evolutionary Biology, Department of Biology II, University of Munich, 82152, Planegg, Germany.
Pablo DuchenDepartment of Computational Biology, Université de Lausanne, Lausanne, Switzerland.
Wolfgang StephanLeibniz Institute for Evolution and Biodiversity Science, Natural History Museum, 10115, Berlin, Germany.
Stefan LaurentDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829, Köln, Germany. laurent@mpipz.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

European and African natural populations of Drosophila melanogaster have been the focus of several studies aiming at inferring demographic and adaptive processes based on genetic variation data. However, in these analyses little attention has been given to gene flow between African and European samples. Here we present a dataset consisting of 14 fully sequenced haploid genomes sampled from a natural population from the northern species range (Umeå, Sweden). We co-analyzed this new data with an African population to compare the likelihood of several competing demographic scenarios for European and African populations and show that gene flow improves the fit of demographic models to data.

Indexed as

Evolution, MolecularGene FlowGenetic VariationGenome, InsectHaploidyModels, GeneticAnimalsDrosophila melanogasterSweden

Identifiers

PMID33376238
PMCPMC7772335

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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.