Microsatellites and single nucleotide polymorphisms in avian hybrid identification: a comparative case study
2010 (English)In: Journal of Avian Biology, ISSN 0908-8857, E-ISSN 1600-048X, Vol. 41, no 1, 34-49 p.Article in journal (Refereed) Published
The correct identification of hybrids is essential in avian hybridisation studies, but selection of the appropriate set of genetic markers for this purpose is at times complicated. Microsatellites and single nucleotide polymorphisms (SNPs) are currently the most commonly used markers in this field. We compare the efficiency of these two marker types, and their combination, in the identification of the threatened avian species, the greater spotted eagle and the lesser spotted eagle, as well as hybrids between the two species. We developed novel SNP markers from genome-wide distributed 122 candidate introns using only sympatric samples, and tested these markers successfully in 60 sympatric and allopatric spotted eagles using Bayesian model-based approaches. Comparatively, only one out of twelve previously described avian nuclear intron markers showed significant species-specific allele frequency difference, thus stressing the importance of selecting the proper markers. Twenty microsatellites outperformed selected nine SNPs in species identification, but were poorer in hybrid detection, whereas the resolution power of ten microsatellites remained too low for correct assignment. A combination of SNPs and microsatellites resulted in the most efficient and accurate identification of all individuals. Our study shows that the use of various sets of markers could lead to strikingly different assignment results, hybridisation studies may have been affected by too low a resolution power of used markers, and that an appropriate set of markers is essential for successful hybrid identification.
Place, publisher, year, edition, pages
2010. Vol. 41, no 1, 34-49 p.
IdentifiersURN: urn:nbn:se:uu:diva-147702DOI: 10.1111/j.1600-048X.2009.04730.xISI: 000274700700005OAI: oai:DiVA.org:uu-147702DiVA: diva2:400762