Evidence map›Paper›PMID 24781805›Full record

ArticleHeredity2014

Revisiting the phylogeography and demography of European badgers (Meles meles) based on broad sampling, multiple markers and simulations.

A C Frantz, A D McDevitt, L C Pope, J Kochan, J Davison, C F Clements, M Elmeros, G Molina-Vacas, A Ruiz-Gonzalez, A Balestrieri and 20 more

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 43 citations in OpenAlex.

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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

30 authors at 20 institutions in 18 countries.

A C Frantz1] NERC Biomolecular Analysis Facility, Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK [2] Musée National d'Histoire Naturelle, Luxembourg, Luxembourg.
A D McDevittSchool of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
L C PopeSchool of Biological Science, University of Queensland, St Lucia, Queensland, Australia.
J KochanDepartment of Genetics and Animal Breeding, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
J DavisonInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.
C F ClementsNERC Biomolecular Analysis Facility, Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
M ElmerosDepartment of Bioscience, Aarhus University, Rønde, Denmark.
G Molina-VacasAnimal Biology Department, University of Barcelona, Barcelona, Spain.
A Ruiz-GonzalezDepartment of Zoology, Biogeography and Population Dynamics Research Group, University of the Basque Country, UPV/EHU, Vitoria-Gasteiz, Spain.
A BalestrieriDepartment of Biosciences, University of Milan, Milan, Italy.
K Van Den BergeResearch Institute for Nature and Forest, Geraardsbergen, Belgium.
P BreyneResearch Institute for Nature and Forest, Geraardsbergen, Belgium.
E Do Linh SanDepartment of Zoology and Entomology, University of Fort Hare, Alice, South Africa.
E O AgrenNational Veterinary Institute, Department of Pathology and Wildlife Diseases, Uppsala, Sweden.
F SuchentrunkResearch Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Vienna, Austria.
L SchleyAdministration de la nature et des forêts, Luxembourg, Luxembourg.
R KowalczykMammal Research Institute, Bialowieza, Poland.
B I KostkaQueen's University Belfast, Northern Ireland, UK.
D CirovićFaculty of Biology, University of Belgrade, Belgrade, Serbia.
N SpremDepartment of Fisheries, Beekeeping, Game Management and Special Zoology, University of Zagreb, Zagreb, Croatia.
M ColynCNRS, UMR 6553, ECOBIO, Université de Rennes 1, Rennes, France.
M GhirardiUniversità degli Studi di Torino, Torino, Italy.
V RachevaBalkani Wildlife Society, Sofia, Bulgaria.
C Braun9 chemin du Kilbs, Bischoffsheim, France.
R OliveiraDepartamento de Zoologia e Antropologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal.
J LanszkiDepartment of Nature Conservation, University of Kaposvár, Kaposvár, Hungary.
A StubbeDomplatz 4, Halle/Saale, Germany.
M StubbeDomplatz 4, Halle/Saale, Germany.
N StierInstitute of Forest Botany and Forest Zoology, Dresden University of Technology, Tharandt, Germany.
T BurkeNERC Biomolecular Analysis Facility, Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
University of Sheffield · GBResearch Institute for Nature and Forest · BEAarhus University · DKBulgarian Society for the Protection of Birds · BGCentre National de la Recherche Scientifique · FRMammal Research Institute · PLMusée National d'Histoire Naturelle · LUQueen's University Belfast · GBSwedish Veterinary Agency · SEThe University of Queensland · AUUniversidade do Porto · PTUniversitat de Barcelona · ESUniversity College Dublin · IEUniversity of Belgrade · RSUniversity of Fort Hare · ZAUniversity of Milan · ITUniversity of Tartu · EEUniversity of the Basque Country · ESUniversity of Turin · ITUniversity of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the phylogeography of European mammals has been extensively investigated since the 1990s, many studies were limited in terms of sampling distribution, the number of molecular markers used and the analytical techniques employed, frequently leading to incomplete postglacial recolonisation scenarios. The broad-scale genetic structure of the European badger (Meles meles) is of interest as it may result from historic restriction to glacial refugia and/or recent anthropogenic impact. However, previous studies were based mostly on samples from western Europe, making it difficult to draw robust conclusions about the location of refugia, patterns of postglacial expansion and recent demography. In the present study, continent-wide sampling and analyses with multiple markers provided evidence for two glacial refugia (Iberia and southeast Europe) that contributed to the genetic variation observed in badgers in Europe today. Approximate Bayesian computation provided support for a colonisation of Scandinavia from both Iberian and southeastern refugia. In the whole of Europe, we observed a decline in genetic diversity with increasing latitude, suggesting that the reduced diversity in the peripheral populations resulted from a postglacial expansion processes. Although MSVAR v.1.3 also provided evidence for recent genetic bottlenecks in some of these peripheral populations, the simulations performed to estimate the method's power to correctly infer the past demography of our empirical populations suggested that the timing and severity of bottlenecks could not be established with certainty. We urge caution against trying to relate demographic declines inferred using MSVAR with particular historic or climatological events.

Indexed as

Evolution, MolecularGenetics, PopulationGenetic VariationAnimalsBayes TheoremDNA, MitochondrialEuropeHaplotypesMicrosatellite RepeatsModels, GeneticMustelidaePhylogeographyPopulation DynamicsDNA, Mitochondrial

Identifiers

PMID24781805
PMCPMC4220720
OpenAlexW2036412403

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.