Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches ...
The effective population size (Ne) could be the ideal parameter for monitoring populations of conservation concern as it conveniently summarizes both the evolutionary potential of the population and its sensitivity to genetic stochasticity. However, tracing its change through time is difficult in na...
| Main Authors: | , , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2011
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.22rm1728 https://datadryad.org/stash/dataset/doi:10.5061/dryad.22rm1728 |
| Summary: | The effective population size (Ne) could be the ideal parameter for monitoring populations of conservation concern as it conveniently summarizes both the evolutionary potential of the population and its sensitivity to genetic stochasticity. However, tracing its change through time is difficult in natural populations. We applied four new methods for estimating Ne from a single sample of genotypes to trace temporal change in Ne for bears in the Northern Dinaric Mountains. We genotyped 510 bears using 20 microsatellite loci, and determined their age. The samples were organized into cohorts with regard to the year when the animals were born and yearly samples with age categories for every year when they were alive. We used the Estimator by Parentage Assignment (EPA) to directly estimate both Ne and generation interval for each yearly sample. For cohorts, we estimated the effective number of breeders (Nb) using Linkage Disequilibrium, Sibship Assignment and Approximate Bayesian Computation methods, and ... : Genotypes of bears from SloveniaThe dataset contains genotypes of 510 brown bears genotyped on 22 microsatellite loci. They were obtained by genotyping tissue samples of legally killed bears between 2003 and 2008. Genotype on locus G10H is unrealiable (genotyping problems), and locus Mu26 has null alleles. Both were excluded from analysis, and have some missing data. All genotypes are complete on all other loci. Additional information is the age data (determined by tooth cross-section), sex and the date of mortality. Columns in the table: sample - laboratory name of the sample; sex - sex of the animal (recorded by the field crew and rechecked by genotyping the SRY marker); date_killed - the date on which the animal was killed; born - year of birth, estimated using the age data; age_months - age of the animal in months, calculated from the age determined by tooth cross-section, Feb 1 as the birthday and the recorded date of death. Genotypes: alleles at each locus are recorded in two columns, e.g. Cxx20_1, ... |
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