Recovery of native genetic background in admixed populations using haplotypes, phenotypes, and pedigree information--using Cika cattle as a case breed.
The aim of this study was to obtain unbiased estimates of the diversity parameters, the population history, and the degree of admixture in Cika cattle which represents the local admixed breeds at risk of extinction undergoing challenging conservation programs. Genetic analyses were performed on the genome-wide Single Nucleotide Polymorphism (SNP) Illumina Bovine SNP50 array data of 76 Cika animals and 531 animals from 14 reference populations. To obtain unbiased estimates we used short haplotypes spanning four markers instead of single SNPs to avoid an ascertainment bias of the BovineSNP50 array. Genome-wide haplotypes combined with partial pedigree and type trait classification show the potential to improve identification of purebred animals with a low degree of admixture. Phylogenetic analyses demonstrated unique genetic identity of Cika animals. Genetic distance matrix presented by rooted Neighbour-Net suggested long and broad phylogenetic connection between Cika and Pinzgauer. Unsupervised clustering performed by the admixture analysis and two-dimensional presentation of the genetic distances between individuals also suggest Cika is a distinct breed despite being similar in appearance to Pinzgauer. Animals identified as the most purebred could be used as a nucleus for a recovery of the native genetic background in the current admixed population. The results show that local well-adapted strains, which have never been intensively managed and differentiated into specific breeds, exhibit large haplotype diversity. They suggest a conservation and recovery approach that does not rely exclusively on the search for the original native genetic background but rather on the identification and removal of common introgressed haplotypes would be more powerful. Successful implementation of such an approach should be based on combining phenotype, pedigree, and genome-wide haplotype data of the breed of interest and a spectrum of reference breeds which potentially have had direct or indirect historical contribution to the genetic makeup of the breed of interest.
Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domžale, Slovenia.
Mojca
M
Simčič
Division of Livestock Science, Department Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna, Vienna, Austria.
Anamarija
A
Smetko
Division of Livestock Science, Department Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna, Vienna, Austria.
Johann
J
Sölkner
Tierzuchtforschung e.V. München, Grub, Germany.
Doris
D
Seichter
Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domžale, Slovenia.
Gregor
G
Gorjanc
Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domžale, Slovenia.
Dragomir
D
Kompan
Chair of Animal Genetics and Husbandry, Faculty of Veterinary Medicine, Ludwig-Maximilians-University Munich, Munich, Germany.
Ivica
I
Medugorac
D000818:Animals; D001947:Breeding; D002417:Cattle / Q000235:genetics* / Q000502:physiology; D016000:Cluster Analysis; D056727:Endangered Species; D000068617:Genetic Background; D005838:Genotype; D006239:Haplotypes; D008297:Male; D010375:Pedigree; D010641:Phenotype; D010802:Phylogeny; D020641:Polymorphism, Single Nucleotide