Genome-wide SNP-based genomic diversity and population structure analysis in alpaca populations from Europe and Peru
Kirsty Tan, Olusegun Olaniyi Adeniyi, Anna Letko, Eberhard Manz, Henrik Werner Wagner, Patrik Zanolari, Manuel More, Gustavo A Gutierrez-Reynoso, Cord Drögemüller, Gesine LühkenAbstract
This study aimed to analyze the genetic diversity and population structure of alpacas in Germany, Switzerland, and Austria (German-speaking regions, GSR), and to compare with that of the country of origin of the species (Peru). 179 animals from GSR and 151 from Peru were genotyped with a species-specific 76k SNP array. The observed and expected heterozygosity was 0.305 and 0.311 for GSR, and 0.310 and 0.312 for Peru. The mean FROH values were 0.029 for GSR and 0.023 for Peru. In general, results show that breeders in both analyzed regions efficiently maintain genetic diversity. Principal component analysis identified the GSR and Peru populations as separate from each other, but the relative proximity of both clusters indicates the shared genetic heritage. FST and XPEHH methods identified genomic regions under selection for traits such as coat color and adaptation. Genome-wide association studies comparing black and brown with white or grey alpacas identified associated genome regions containing the ASIP and KIT genes, respectively. The association of a recently identified keratin locus on chromosome 16 with differences in fleece type in alpacas was confirmed, while the putative causality of a TRPV3 variant was rejected.