SNP-based association mapping of the polled gene in divergent cattle breeds

• Published in: Animal genetics 2012-10, Vol.43 (5), p.595-598
• Main Authors: Seichter, D., Russ, I., Rothammer, S., Eder, J., Förster, M., Medugorac, I.
• Format: Article
• Language: English
• Subjects: Animals; association mapping; Cattle; Cattle Diseases - genetics; Chromosome Mapping - veterinary; Chromosomes, Mammalian - genetics; Gene Expression Regulation, Developmental; Genetic Association Studies - veterinary; Horns - abnormalities; Male; Musculoskeletal Abnormalities - genetics; Musculoskeletal Abnormalities - veterinary; polled gene; Polymorphism, Single Nucleotide; SNP
• ISSN: 0268-9146; 1365-2052
• DOI: 10.1111/j.1365-2052.2011.02302.x

Summary Naturally, hornless cattle are called polled. Although the POLL locus could be assigned to a c. 1.36‐Mb interval in the centromeric region of BTA1, the underlying genetic basis for the polled trait is still unknown. Here, an association mapping design was set up to refine the candidate region of the polled trait for subsequent high‐throughput sequencing. The case group comprised 101 homozygous polled animals from nine divergent cattle breeds, the majority represented by Galloway, Angus, Fleckvieh and Holstein Friesian. Additionally, this group included some polled individuals of Blonde d’Aquitaine, Charolais, Hereford, Jersey and Limousin breeds. The control group comprised horned Belgian Blue, Fleckvieh, Holstein Friesian and Illyrian Buša cattle. A genome‐wide scan using 49 163 SNPs was performed, which revealed one shared homozygous haplotype block consisting of nine neighbouring SNPs in all polled animals. This segment defines a 381‐kb interval on BTA1 that we consider to be the most likely location of the POLL mutation. Our results further demonstrate that the polled‐associated haplotype is also frequent in horned animals included in this study, and thus the haplotype as such cannot be used for population‐wide genetic testing. The actual trait‐associated haplotype may be revealed by using higher‐density SNP arrays. For the final identification of the causal mutation, we suggest high‐throughput sequencing of the entire candidate region, because the identification of functional candidate genes is difficult owing to the lack of a comparable model.