University of Oulu

Saatoglu, D., Niskanen, A. K., Kuismin, M., Ranke, P. S., Hagen, I. J., Araya-Ajoy, Y. G., Kvalnes, T., Pärn, H., Rønning, B., Ringsby, T. H., Sæther, B.-E., Husby, A., Sillanpää, M. J., & Jensen, H. (2021). Dispersal in a house sparrow metapopulation: An integrative case study of genetic assignment calibrated with ecological data and pedigree information. Molecular Ecology, 30, 4740– 4756. https://doi.org/10.1111/mec.16083

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

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Author: Saatoglu, Dilan1; Niskanen, Alina K.1,2; Kuismin, Markku3,4;
Organizations: 1Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
2Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
3Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
4Biocenter Oulu, University of Oulu, Finland
5Norwegian Institute for Nature Research, Trondheim, Norway
6Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
7Infotech Oulu, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021110954413
Language: English
Published: John Wiley & Sons, 2021
Publish Date: 2021-11-09
Description:

Abstract

Dispersal has a crucial role determining ecoevolutionary 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 interpopulation genetic differentiation, intrapopulation 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.

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Series: Molecular ecology
ISSN: 0962-1083
ISSN-E: 1365-294X
ISSN-L: 0962-1083
Volume: 30
Issue: 19
Pages: 4740 - 4756
DOI: 10.1111/mec.16083
OADOI: https://oadoi.org/10.1111/mec.16083
Type of Publication: A1 Journal article – refereed
Field of Science: 1181 Ecology, evolutionary biology
111 Mathematics
Subjects:
SNP
Funding: This study was supported by grants from the Norwegian Research Council (programmes STORFORSK, Strategic University Programme in Conservation Biology, projects 221956, 274930, and 302619), the Norwegian Environmental Agency, the EU-commission (project METABIRD), the Academy of Finland (project 295204 to AKN), Biocenter Oulu funding, the Technology Industries of Finland Centennial Foundation and the Jane and Aatos Erkko Foundation. This work was also partly supported by the Research Council of Norway through its Centre of Excellence funding scheme (project 223257). The research done on house sparrows was carried out in accordance with permits from the Norwegian Food Safety Authority and the Bird Ringing Centre at Stavanger Museum, Norway. Genotyping on the custom house sparrow Affymetrix Axiom 200K SNP array was carried out at CIGENE, Norwegian University of Life Sciences, Norway.
Academy of Finland Grant Number: 295204
Detailed Information: 295204 (Academy of Finland Funding decision)
Copyright information: © 2021 The Authors. Molecular Ecology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
  https://creativecommons.org/licenses/by/4.0/