Genetic diversity in an indigenous horse breed: implications for mating strategies and the control of future inbreeding

The Franches-Montagnes is an indigenous Swiss horse breed, with approximately 2500 foalings per year. The stud book is closed, and no introgression from other horse breeds was conducted since 1998. Since 2006, breeding values for 43 different traits (conformation, performance and coat colour) are estimated with a best linear unbiased prediction (BLUP) multiple trait animal model. In this study, we evaluated the genetic diversity for the breeding population, considering the years from 2003 to 2008. Only horses with at least one progeny during that time span were included. Results were obtained based on pedigree information as well as from molecular markers. A series of software packages were screened to combine best the best linear unbiased prediction (BLUP) methodology with optimal genetic contribution theory. We looked for stallions with highest breeding values and lowest average relationship to the dam population. Breeding with such stallions is expected to lead to a selection gain, while lowering the future increase in inbreeding within the breed.

Analysis of pedigree and conformation data to explain genetic variability of the horse breed Franches-Montagnes

Franches-Montagnes is the only native horse breed in Switzerland, therefore special efforts should be made for ensuring its survival. The objectives of this study were to characterize the structure of this population as well as genetic variability with pedigree data, conformation traits and molecular markers. Studies were focused to clarify if this population is composed of a heavy- and a light-type subpopulation. Extended pedigree records of 3-year-old stallions (n = 68) and mares (n = 108) were available. Evaluations of body conformation traits as well as pedigree data and molecular markers did not support the two-subpopulation hypothesis. The generation interval ranged from 7.8 to 9.3 years. The complete generation equivalent was high (>12). The number of effective ancestors varied between 18.9 and 20.1, whereof 50% of the genetic variability was attributed to seven of them. Genetic contribution of Warmblood horses ranged from 36% to 42% and that of Coldblood horses from 4% to 6%. The average inbreeding coefficient reached 6%. Inbreeding effective population size was 114.5 when the average increase of the inbreeding coefficient per year since 1910 was taken. Our results suggest that bottleneck situations occurred because of selection of a small number of sire lines. Promotion of planned matings between parents that are less related is recommended in order to avoid a reduction of the genetic diversity.

In vitro selection of Haemonchus contortus for benzimidazole resistance reveals a mutation at amino acid 198 of beta-tubulin

Benzimidazoles were the first broad-spectrum anthelmintics and are still in use today against gastro-intestinal nematodes of ruminants such as Haemonchus contortus. Benzimidazoles block the polymerization of nematode microtubules. However, their efficacy is jeopardized by the spread of drug-resistant parasites that carry point mutations in beta-tubulin. Here we use a novel in vitro selection-in vivo propagation protocol to breed drug-resistant H. contortus. After 8 generations of selection with thiabendazole an in vitro resistance factor of 1000 was reached that was also relevant in vivo in infected sheep. The same procedure carried out with ivermectin produced only a moderate resistance phenotype that was not apparent in sheep. Cloning and sequencing of the beta-tubulin genes from the thiabendazole-resistant H. contortus mutants revealed all of the isotype 1 alleles, and part of the isotype 2 alleles, to carry the mutation glutamate(198) to alanine (E198A). An allele-specific PCR was developed, which may be helpful in monitoring the prevalence of alanine(198) encoding alleles in the beta-tubulin isotype 1 gene pool of H. contortus in the field.

Genome-wide analysis reveals selection for important traits in domestic horse breeds.

Intense selective pressures applied over short evolutionary time have resulted in homogeneity within, but substantial variation among, horse breeds. Utilizing this population structure, 744 individuals from 33 breeds, and a 54,000 SNP genotyping array, breed-specific targets of selection were identified using an F(ST)-based statistic calculated in 500-kb windows across the genome. A 5.5-Mb region of ECA18, in which the myostatin (MSTN) gene was centered, contained the highest signature of selection in both the Paint and Quarter Horse. Gene sequencing and histological analysis of gluteal muscle biopsies showed a promoter variant and intronic SNP of MSTN were each significantly associated with higher Type 2B and lower Type 1 muscle fiber proportions in the Quarter Horse, demonstrating a functional consequence of selection at this locus. Signatures of selection on ECA23 in all gaited breeds in the sample led to the identification of a shared, 186-kb haplotype including two doublesex related mab transcription factor genes (DMRT2 and 3). The recent identification of a DMRT3 mutation within this haplotype, which appears necessary for the ability to perform alternative gaits, provides further evidence for selection at this locus. Finally, putative loci for the determination of size were identified in the draft breeds and the Miniature horse on ECA11, as well as when signatures of selection surrounding candidate genes at other loci were examined. This work provides further evidence of the importance of MSTN in racing breeds, provides strong evidence for selection upon gait and size, and illustrates the potential for population-based techniques to find genomic regions driving important phenotypes in the modern horse.

Genetic analysis of white facial and leg markings in the Swiss Franches-Montagnes Horse Breed

White markings and spotting patterns in animal species are thought to be a result of the domestication process. They often serve for the identification of individuals but sometimes are accompanied by complex pathological syndromes. In the Swiss Franches-Montagnes horse population, white markings increased vastly in size and occurrence during the past 30 years, although the breeding goal demands a horse with as little depigmented areas as possible. In order to improve selection and avoid more excessive depigmentation on the population level, we estimated population parameters and breeding values for white head and anterior and posterior leg markings. Heritabilities and genetic correlations for the traits were high (h(2) > 0.5). A strong positive correlation was found between the chestnut allele at the melanocortin-1-receptor gene locus and the extent of white markings. Segregation analysis revealed that our data fit best to a model including a polygenic effect and a biallelic locus with a dominant-recessive mode of inheritance. The recessive allele was found to be the white trait-increasing allele. Multilocus linkage disequilibrium analysis allowed the mapping of the putative major locus to a chromosomal region on ECA3q harboring the KIT gene.

Imputation of sequence level genotypes in the Franches-Montagnes horse breed

BACKGROUND A cost-effective strategy to increase the density of available markers within a population is to sequence a small proportion of the population and impute whole-genome sequence data for the remaining population. Increased densities of typed markers are advantageous for genome-wide association studies (GWAS) and genomic predictions. METHODS We obtained genotypes for 54 602 SNPs (single nucleotide polymorphisms) in 1077 Franches-Montagnes (FM) horses and Illumina paired-end whole-genome sequencing data for 30 FM horses and 14 Warmblood horses. After variant calling, the sequence-derived SNP genotypes (~13 million SNPs) were used for genotype imputation with the software programs Beagle, Impute2 and FImpute. RESULTS The mean imputation accuracy of FM horses using Impute2 was 92.0%. Imputation accuracy using Beagle and FImpute was 74.3% and 77.2%, respectively. In addition, for Impute2 we determined the imputation accuracy of all individual horses in the validation population, which ranged from 85.7% to 99.8%. The subsequent inclusion of Warmblood sequence data further increased the correlation between true and imputed genotypes for most horses, especially for horses with a high level of admixture. The final imputation accuracy of the horses ranged from 91.2% to 99.5%. CONCLUSIONS Using Impute2, the imputation accuracy was higher than 91% for all horses in the validation population, which indicates that direct imputation of 50k SNP-chip data to sequence level genotypes is feasible in the FM population. The individual imputation accuracy depended mainly on the applied software and the level of admixture.