Evidence map›Paper›PMID 40526220›Full record

ArticleBiologia futura2025

Low genetic differentiation and symmetric migration between urban and forest populations of great tits.

Bendegúz Mihalik, Nóra Ágh, Ivett Pipoly, Edina Nemesházi, Krisztián Szabó, Gábor Seress, András Liker

Abstract read
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Article in Biologia futura, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Bendegúz MihalikHUN-REN-PE Evolutionary Ecology Research Group, University of Pannonia, Veszprém, Hungary.
Nóra ÁghHUN-REN-PE Evolutionary Ecology Research Group, University of Pannonia, Veszprém, Hungary.
Ivett PipolyHUN-REN-PE Evolutionary Ecology Research Group, University of Pannonia, Veszprém, Hungary.
Edina NemesháziMolecular Ecology Research Group, Department of Ecology, University of Veterinary Medicine, Budapest, Hungary.
Krisztián SzabóMolecular Ecology Research Group, Department of Ecology, University of Veterinary Medicine, Budapest, Hungary.
Gábor SeressHUN-REN-PE Evolutionary Ecology Research Group, University of Pannonia, Veszprém, Hungary.
András LikerHUN-REN-PE Evolutionary Ecology Research Group, University of Pannonia, Veszprém, Hungary. liker.andras@mk.uni-pannon.hu.ORCID http://orcid.org/0000-0001-8545-4869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene flow may be limited between urban and non-urban populations of wild animals that can influence their landscape-level genetic structure and potential to adapt to new ecological conditions. To test this idea, we genetically characterized great tit (Parus major) populations breeding in an urban and a forest area 3.5 km apart, differing in several phenotypic traits some of which may contribute to adaptation to urban living. We used 16 microsatellite markers to genotype 189 breeding adult individuals (119 urban and 70 forest birds) and (1) tested whether the two populations are genetically differentiated, and (2) estimated the rate and direction of migration between the sites. Heterozygosity tended to be lower in the urban than in the forest habitat. Genetic population structure analyses did not show a consistent clustering of breeding birds between the urban and forest sites, and this conclusion was not affected by the inclusion of phenotypic data in the analyses. The pairwise fixation index (F

Indexed as

Animal MigrationForestsGenetic VariationPasseriformesAnimalsGene FlowGene flowMicrosatelliteMigration rateParus majorPopulation differentiationUrbanization

Identifiers

PMID40526220

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.