Inference of hazel grouse population structure using multilocus data: a landscape genetic approach
2008 (English)In: Heredity, ISSN 0018-067X, Vol. 101, no 6, 475-482 p.Article in journal (Other (popular science, discussion, etc.)) Published
In conservation and management of species it is important to make inferences about gene flow, dispersal and population structure. In this study, we used 613 georeferenced tissue samples from hazel grouse (Bonasa bonasia) where each individual was genotyped at 12 microsatellite loci to make inference on population genetic structure, gene flow and dispersal in northern Sweden. Observed levels of genetic diversity suggest that Swedish hazel grouse do not suffer loss of genetic diversity compared with other grouse species. We found significant F-IS (deviation from Hardy-Weinberg expectations) over the entire sample using jack-knifed estimators over loci, which is most likely explained by a Wahlund effect. With the use of spatial autocorrelation methods, we detected significant isolation by distance among individuals. Neighbourhood size was estimated in the order of 62-158 individuals corresponding to a dispersal distance of 950-1500 m. Using a spatial statistical model for landscape genetics to infer the number of populations and the spatial location of genetic discontinuities between these populations we found indications that Swedish hazel grouse are divided into a northern and a southern population. We could not find a sharp border between these two populations and none of the observed borders appeared to coincide with any potential geographical barriers. These results imply that gene flow appears somewhat unrestricted in the boreal taiga forests of northern Sweden and that the two populations of hazel grouse in Sweden may be explained by the post-glacial reinvasion history of the Scandinavian Peninsula. Heredity (2008) 101, 475-482; doi: 10.1038/hdy.2008.94; published online 1 October 2008
Place, publisher, year, edition, pages
2008. Vol. 101, no 6, 475-482 p.
geneland, Monte Carlo Markov chain, Bayesian clustering, isolation by distance, genetic discontinuities
IdentifiersURN: urn:nbn:se:uu:diva-95958DOI: 10.1038/hdy.2008.94ISI: 000260993500003OAI: oai:DiVA.org:uu-95958DiVA: diva2:170350