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

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<sub>st</sub>) was low (0.009) and only 1% of the total genetic variance was explained by variation between populations. Finally, there was detectable gene flow between the two areas, and its estimated values did not suggest asymmetry in the direction of migration. We conclude that great tits living in the city are genetically connected to the nearby forest population by reciprocal migration, which may explain the low level of genetic differentiation.

Authors

Institutions

Publication Details

Journal
Biologia Futura
Published
2025-06-16
DOI
https://doi.org/10.1007/s42977-025-00259-1
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ivett Pipoly, András Liker, Gábor Seress, Bendegúz Mihalik et al.
Biologia Futura
Genetic diversity and population structure
article

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

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

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<sub>st</sub>) was low (0.009) and only 1% of the total genetic variance was explained by variation between populations. Finally, there was detectable gene flow between the two areas, and its estimated values did not suggest asymmetry in the direction of migration. We conclude that great tits living in the city are genetically connected to the nearby forest population by reciprocal migration, which may explain the low level of genetic differentiation.

Biologia FuturaVol. 76(3)
University of Pannonia (HU), University of Veterinary Medicine Vienna (AT), Institute of Ecology and Botany (HU)
Sustainable cities and communities
Openalex Percentile: Top 84%
Genetic diversity and population structure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.