Genet. Sel. Evol.
Volume 39, Number 4, July-August 2007
|Page(s)||447 - 463|
|Published online||06 July 2007|
A heuristic two-dimensional presentation of microsatellite-based data applied to dogs and wolvesClaudia E. Veit-Kenscha, Ivica Medugoraca, Wlodzimierz Jedrzejewskib, Aleksei N. Bunevichc and Martin Foerstera
a Institute for Animal Breeding, Faculty of Veterinary Medicine, The Ludwig-Maximilians-University Munich, Veterinaerstr. 13, 80539 Munich, Germany
b Mammal Research Institute, Polish Academy of Sciences, 17-230 Bialowieza, Poland
c State National Park Belovezhskaya Pushcha, Brest Oblast, Kamenec Raion, 225063 Kamenyuki, Belarus Republic
(Received 10 February 2006; accepted 14 February 2007; published online 6 July 2007)
Abstract - Methods based on genetic distance matrices usually lose information during the process of tree-building by converting a multi-dimensional matrix into a phylogenetic tree. We applied a heuristic method of two-dimensional presentation to achieve a better resolution of the relationship between breeds and individuals investigated. Four hundred and nine individuals from nine German dog breed populations and one free-living wolf population were analysed with a marker set of 23 microsatellites. The result of the two-dimensional presentation was partly comparable with and complemented a model-based analysis that uses genotype patterns. The assignment test and the neighbour-joining tree based on allele sharing estimate allocated 99% and 97% of the individuals according to their breed, respectively. The application of the two-dimensional presentation to distances on the basis of the proportion of shared alleles resulted in comparable and further complementary insight into inferred population structure by multilocus genotype data. We expect that the inference of population structure in domesticated species with complex breeding histories can be strongly supported by the two-dimensional presentation based on the described heuristic method.
Key words: dog / microsatellite / genetic distance / two-dimensional presentation
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© INRA, EDP Sciences 2007