Comparison of SNP and microsatellite genotyping panels for spatial assignment of individuals to natal range: A case study using the American black bear (Ursus americanus)

摘要: Abstract Analysis of multilocus genotypes is fundamental to conservation genetics, allowing inference ranging from population delineation identification dispersers; additionally, the natal range a sample unknown origin may be assigned. We investigated accuracy and precision two methods (spatial smoothing principal components regression) for assignment with five datasets that varied in marker type (microsatellites or SNPs), number loci, training samples. Accuracy between where median difference true estimated geographic locations ranged 192 902 km. A dataset using 1000 SNP loci spatial method was both most accurate precise. observed SNPs more precise than when microsatellites, large numbers could overcome having few samples dataset. Our results suggest cautious interpretation assignments, as 52% fewer test were assigned correct management jurisdiction. In addition, continuous habitat had less assignments isolated areas whether due landscape barriers anthropogenic fragmentation. The use tool agencies work well at regional level, given sufficient input data; however, we clearly limits on scale consequently effectiveness sole source inference.