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Evolution of genomic variation in the burrowing owl in response to recent colonization of urban areas
Author(s) -
Jakob C. Mueller,
Heiner Kuhl,
Stefan Boerno,
José L. Tella,
Martina Carrete,
Bart Kempenaers
Publication year - 2018
Publication title -
proceedings of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.342
H-Index - 253
eISSN - 1471-2954
pISSN - 0962-8452
DOI - 10.1098/rspb.2018.0206
Subject(s) - demographic history , population , linkage disequilibrium , biology , local adaptation , approximate bayesian computation , geography , evolutionary biology , gene flow , single nucleotide polymorphism , ecology , habitat , biological dispersal , adaptation (eye) , genome , genetic variation , genetics , demography , gene , genotype , neuroscience , sociology
When a species successfully colonizes an urban habitat it can be expected that its population rapidly adapts to the new environment but also experiences demographic perturbations. It is, therefore, essential to gain an understanding of the population structure and the demographic history of the urban and neighbouring rural populations before studying adaptation at the genome level. Here, we investigate populations of the burrowing owl ( Athene cunicularia ), a species that colonized South American cities just a few decades ago. We assembled a high-quality genome of the burrowing owl and re-sequenced 137 owls from three urban-rural population pairs at 17-fold median sequencing coverage per individual. Our data indicate that each city was independently colonized by a limited number of founders and that restricted gene flow occurred between neighbouring urban and rural populations, but not between urban populations of different cities. Using long-range linkage disequilibrium statistics in an approximate Bayesian computation approach, we estimated consistently lower population sizes in the recent past for the urban populations in comparison to the rural ones. The current urban populations all show reduced standing variation in rare single nucleotide polymorphisms (SNPs), but with different subsets of rare SNPs in different cities. This lowers the potential for local adaptation based on rare variants and makes it harder to detect consistent signals of selection in the genome.

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