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Data from: Dispersal in a house sparrow metapopulation: an integrative case study of genetic assignment calibrated with ecological data and pedigree information

Cite this dataset

Saatoglu, Dilan et al. (2021). Data from: Dispersal in a house sparrow metapopulation: an integrative case study of genetic assignment calibrated with ecological data and pedigree information [Dataset]. Dryad. https://doi.org/10.5061/dryad.xgxd254h1

Abstract

Dispersal has a crucial role determining eco-evolutionary dynamics through both gene flow and population size regulation. However, to study dispersal and its consequences, one must distinguish immigrants from residents. Dispersers can be identified using telemetry, capture-mark-recapture (CMR) methods, or genetic assignment methods. All of these methods have disadvantages, such as, high costs and substantial field efforts needed for telemetry and CMR surveys, and adequate genetic distance required in genetic assignment. In this study, we used genome-wide 200K Single Nucleotide Polymorphism data and two different genetic assignment approaches (GSI_SIM, Bayesian framework; BONE, network-based estimation) to identify the dispersers in a house sparrow (Passer domesticus) metapopulation sampled over 16 years. Our results showed higher assignment accuracy with BONE. Hence, we proceeded to diagnose potential sources of errors in the assignment results from the BONE method due to variation in levels of inter-population genetic differentiation, intra-population genetic variation and sample size. We show that assignment accuracy is high even at low levels of genetic differentiation and that it increases with the proportion of a population that has been sampled. Finally, we highlight that dispersal studies integrating both ecological and genetic data provide robust assessments of the dispersal patterns in natural populations.

Usage notes

Description of the data and scripts are given in the Geneticassignment_README.txt file.

Funding

Centre of Excellence, Award: 223257

The Research Council of Norway, Award: 221956

Norwegian Environmental Agency

Jane and Aatos Erkko Foundation

European Commission, Award: METABIRD

Academy of Finland, Award: 295204 to AN

Biocenter, University of Oulu

Technology Industries of Finland Centennial Foundation

The Research Council of Norway, Award: 274930

The Research Council of Norway, Award: 302619

Centre of Excellence, Award: 223257

Norwegian Environmental Agency

Jane and Aatos Erkko Foundation

Technology Industries of Finland Centennial Foundation