Data from: Multi-level patterns in population genetics: variogram series detects a hidden isolation-by- distance- dominated structure of Scandinavian brown bears Ursus arctos
Schregel, Julia, Norwegian University of Life Sciences, Norwegian Institute of Bioeconomy Research
Remm, Jaanus, University of Tartu
Eiken, Hans Geir, Norwegian Institute of Bioeconomy Research
Swenson, Jon E., Norwegian University of Life Sciences, Norwegian Institute for Nature Research
Saarma, Urmas, University of Tartu
Hagen, Snorre B., Norwegian Institute of Bioeconomy Research
Published Feb 19, 2018 on Dryad.
Cite this dataset
Schregel, Julia et al. (2018). Data from: Multi-level patterns in population genetics: variogram series detects a hidden isolation-by- distance- dominated structure of Scandinavian brown bears Ursus arctos [Dataset]. Dryad. https://doi.org/10.5061/dryad.vr61ks2
1. Large-scale pattern-oriented approaches are useful to understand the multi-level processes that shape the genetic structure of a population. Matching the scales of patterns and putative processes is both a key to success and a challenge. 2. We have developed a simple statistical approach, based on variogram analysis, that identifies multiple spatial scales where the population pattern, in this case genetic structure, have highest expression (i.e. the spatial scales at which the strength of patterning of isolation-by-distance (IBD) residual variance reached maximum) from empirical data and, thus, at which scales it should be studied relative to the underlying processes. The approach is applicable to any spatially explicit pairwise data, including genetic, morphological or ecological distance or similarity of individuals, populations and ecosystems. To exemplify possible applications of this approach, we analysed microsatellite genotypes of 1,530 brown bears from Sweden and Norway. 3. The variogram approach identified two scales at which population structure was strongest, thus indicating two different scale-dependent processes: home-rangerelated processes at scales <35 km, and subpopulation division at scales >98 km. On the basis of this, we performed a scale-explicit analysis of genetic structure using DResD analysis and compared the results with those obtained by the Bayesian clustering implemented in structure. 4. We found that the genetic cluster identified in central Scandinavia by Structure is caused by IBD, with distinct gene flow barriers to the south and north. We discuss possible applications and research perspectives to further develop the approach.
Three tab-delimited matrices of genetic distances of brown bears, method validation and demonstrative data
The data package consist of a zip-file, containing three tab-delimited matrices of genetic distances. The matrices are described in the supplementary data file S4, found in the supplemental information tab in the online version of the article and as README file associated with the data package: 1."IBD_corrected_gen_distance_shuffled_in_50km.txt" = genetic distances corrected for IBD from the simulation fo small scale free dispersion; 2."IBD_corrected_genetic_distance_empirical.txt" = empirical matrix of genetic distances corrected for IBD; 3."IBD_corrected_genetic_distance_resampled.txt" = genetic distances corrected for IBD and randomised over study area; scenario of globally even IBD.