Published May 27, 2020 | Version v1
Dataset Open

Data from: Demographic history and genomic diversity and divergence in blue tit populations across heterogeneous environments

  • 1. Centre de Biologie et de Gestion des Populations
  • 2. Université Laval
  • 3. Centre d'Ecologie Fonctionnelle et Evolutive

Description

Understanding the genomic processes underlying local adaptation is a central aim of modern evolutionary biology. This task requires identifying footprints of local selection but also estimating spatio-temporal variation in population demography and variation in recombination rate and diversity along the genome. Here, we investigated these parameters in blue tit populations inhabiting deciduous versus evergreen forests and insular versus mainland areas, in the context of a previously described strong phenotypic differentiation. Neighboring population pairs of deciduous and evergreen habitats were weakly genetically differentiated (FST = 0.004 on average), nevertheless with a statistically significant effect of habitat type on the overall genetic structure. This low differentiation was consistent with the strong and long-lasting gene flow between populations, inferred by demographic modeling. In turn, insular and mainland populations were moderately differentiated (FST = 0.08 on average), in line with the inference of moderate ancestral migrations, followed by isolation since the end of the last glaciation. Effective population sizes were overall large, yet smaller on the island than on the mainland. Weak and non-parallel footprints of divergent selection between deciduous and evergreen populations were consistent with their high connectivity and the probable polygenic nature of local adaptation in these habitats. In turn, stronger footprints of divergent selection were identified between long isolated insular versus mainland birds, and were more often found in regions of low recombination as expected from theory. Lastly, we identified a genomic inversion on the mainland, spanning 2.8Mb. These results provide insights into the demographic history and genetic architecture of local adaptation in blue tit populations at multiple geographic scales.

Notes

Funding provided by: ERC-2013-StG-337365-SHE*
Crossref Funder Registry ID:
Award Number: ERC-2013-StG-337365-SHE

Funding provided by: ERC-2013-StG-337365-SHE
Crossref Funder Registry ID:
Award Number: ERC-2013-StG-337365-SHE

Files

BLUE2020ID.txt

Files (120.4 MB)

Name Size Download all
md5:eda99589148b420317be12121c5ff9b0
21.2 kB Preview Download
md5:91fc63320e01f056e302cee6d7b73cee
120.3 MB Download