Whole-genome scan identifies quantitative trait loci for chronic pastern dermatitis in German draft horses

Chronic pastern dermatitis (CPD), also known as chronic progressive lymphedema (CPL), is a skin disease that affects draft horses. This disease causes painful lower-leg swelling, nodule formation, and skin ulceration, interfering with movement. The aim of this whole-genome scan was to identify quantitative trait loci (QTL) for CPD in German draft horses. We recorded clinical data for CPD in 917 German draft horses and collected blood samples from these horses. Of these 917 horses, 31 paternal half-sib families comprising 378 horses from the breeds Rhenish German, Schleswig, Saxon-Thuringian, and South German were chosen for genotyping. Each half-sib family was constituted by only one draft horse breed. Genotyping was done for 318 polymorphic microsatellites evenly distributed on all equine autosomes and the X chromosome with a mean distance of 7.5 Mb. An across-breed multipoint linkage analysis revealed chromosome-wide significant QTL on horse chromosomes (ECA) 1, 9, 16, and 17. Analyses by breed confirmed the QTL on ECA1 in South German and the QTL on ECA9, 16, and 17 in Saxon-Thuringian draft horses. For the Rhenish German and Schleswig draft horses, additional QTL on ECA4 and 10 and for the South German draft horses an additional QTL on ECA7 were found. This is the first whole-genome scan for CPD in draft horses and it is an important step toward the identification of candidate genes.     

Molecular characterization of the equine ATP2A2 gene

The mammalian ATP2A2 gene encodes a P-type cation pump located in the sarcoplasmic or endoplasmic reticula of muscle cells. We isolated one bacterial artificial chromosome (BAC) clone containing the equine ATP2A2 gene and determined the complete coding sequence of this gene. Cloning and characterization of the equine ATP2A2 gene revealed that the equine ATP2A2 gene consists of 20 exons. In total, 32 horses out of 16 breeds were analyzed for single nucleotide polymorphisms (SNPs). A mutation scan for SNPs included ten exons and their flanking introns. We detected in total 17 SNPs, 14 of which were located in introns, one in exon 9 and two in exon 20. In this report we provide the genomic organization and the equine ATP2A2 coding sequence and an association analysis for chronic pastern dermatitis using a sample of South German draft horses.     

A genome‐wide association study indicates LCORL/NCAPG as a candidate locus for withers height in German Warmblood horses

A genome‐wide association scan for loci affecting withers height was conducted in 782 German Warmblood stallions, which were genotyped using the Illumina EquineSNP50 Bead Chip. A principal components approach was applied to correct for population structure. The analysis revealed a single major QTL on ECA3 explaining ~18 per cent of the phenotypic variance, which is in concordance with recent reports from other horse populations. The LCORL/NCAPG locus represents a strong candidate gene for this QTL. This locus is among a small number that have consistently been identified to influence human height in several large meta‐analyses. Furthermore, a mutation within the NCAPG gene was found to affect growth and body frame size in cattle. Together with the results of this study in German Warmbloods, these findings strongly indicate LCORL/NCAPG as a candidate locus for withers height in horses. Further studies are, however, needed to confirm this.     

Molecular analysis of congenital scoliosis: a candidate gene approach

The etiology of congenital scoliosis is largely unknown. The severe vertebral disorder, spondylocostal dysostosis type 1, is associated with a homozygous delta-like 3 (DLL3) mutation. Scoliosis has been observed in a heterozygous DLL3 carrier, raising the possibility of its involvement in congenital scoliosis. We present the first molecular study of congenital scoliosis by analysis of the candidate gene DLL3 and demonstrate one novel missense variant. However, no novel or previously described mutations are present in our cohort, indicating that DLL3 mutations may not be a major cause of congenital scoliosis. Additionally, we have evaluated patients with congenital scoliosis not diagnosed with a known syndrome and identified a significant number of associated renal and cardiac anomalies and familial incidence of idiopathic scoliosis in this group.     

Molecular genetic analysis of the human sorbitol dehydrogenase gene

The polyol pathway comprises the enzymes aldose reductase and sorbitol dehydrogenase, which convert glucose to sorbitol and sorbitol to fructose, respectively, particularly in hyperglycemic states. The accumulation and toxicity of sorbitol in specific tissues has been implicated in the development of microvascular problems in some diabetic patients. Inappropriate sorbitol accumulation in some patients may be the result of polymorphic variation in the human sorbitol dehydrogenase gene, causing reduced expression levels or enzymatic activity. We now describe the structure and expression profile of the human sorbitol dehydrogenase gene and identify a range of polymorphic variants that may be useful for co-segregation studies in diabetic patients with and without severe clinical complications from their disease.     

Molecular evolution and population genetic analysis of candidate female reproductive genes in Drosophila

Molecular analyses in several taxa have consistently shown that genes involved in reproduction are rapidly evolving and subjected to positive selection. The mechanism behind this evolution is not clear, but several proposed hypotheses involve the coevolution between males and females. In Drosophila, several male reproductive proteins (Acps) involved in male-male and male-female interactions show evidence of rapid adaptive evolution. What has been missing from the Drosophila literature is the identification and analysis of female reproductive genes. Recently, an evolutionary expressed sequence tag analysis of Drosophila female reproductive tract genes identified 169 candidate female reproductive genes. Many of these candidate genes still await further molecular analysis and independent verification of positive selection. Our goal was to expand our understanding of the molecular evolution of Drosophila female reproductive genes with a detailed polymorphism and divergence study on seven additional candidate female reproductive genes and a reanalysis of two genes from the above study. We demonstrate that 6 candidate female genes of the 9 genes surveyed show evidence of positive selection using both polymorphism and divergence data. One of these proteins (CG17012) is modeled to reveal that the sites under selection fall around and within the active site of this protease, suggesting potential differences between species. We discuss our results in light of potential function as well as interaction with male reproductive proteins.     

Genetic and environmental analysis of dystocia and stillbirths in draft horses

Genetic parameters and environmental factors were estimated for foaling ease (FE) and stillbirths (SBs) in four breeds of draft horses based on 11 229, 38 877, 35 764 and 13 274 FE and SB scores recorded between 1998 and 2010 for Ardennais (A), Breton (B), Comtois (C) and Percheron (P), respectively. Incidences for the three FE categories were: easy or without help 91.0% (A) to 95.4% (B), difficult 3.4% (B) to 7.1% (A) and intervention of a veterinarian 1.1% (B) to 1.9% (A). The frequency of SB ranged between 5.4% (B) and 9.4% (A). A multiple-trait threshold animal model was used that included the effects of sex of foal, region, month, year of foaling, combined maternal age and parity, direct genetic, maternal genetic and permanent environments. Estimates were obtained using Markov Chain Monte Carlo Gibbs sampling. The most unfavourable effect was first parity, which decreased the probability of easy foaling to 78.6% for A and 88.3% for B. Interaction with age showed that the risk for first foaling for mares aged 3 years was higher than at 4 or 5 to 9 years. This was also observed for SB with an increased probability of SB at first foaling of 17.9% (A) or 9.6% (B). The most unfavourable month was found to be the most frequent month for foaling (April) and not the most demanding months weather-wise (winter). For FE, direct heritabilities were A 0.27 (0.06), B 0.14 (0.03), C 0.18 (0.03) and P 0.18 (0.04), and maternal heritabilities were A 0.25 (0.06), B 0.19 (0.04), C 0.12 (0.03) and P 0.21 (0.06). Genetic correlations between direct and maternal genetic effects were A −0.29 (0.14), B −0.39 (0.12), C −0.09 (0.14) and P −0.54 (0.17). For SB, direct heritabilities were A 0.52 (0.09), B 0.42 (0.04), C 0.28 (0.04) and P 0.39 (0.05), and maternal heritabilities were A 0.25 (0.05), B 0.10 (0.02), C 0.07 (0.02) and P 0.14 (0.02). Genetic correlations between direct and maternal genetic effects were A −0.85 (0.06), B −0.63 (0.06), C −0.64 (0.11) and P −0.69 (0.06). Direct genetic correlations between FE and SB traits were A 0.60 (0.10), B 0.58 (0.10), C 0.36 (0.10) and P 0.29 (0.15). Maternal genetic correlations between FE and SB traits were A 0.67 (0.10), B 0.47 (0.13), C 0.28 (0.15) and P 0.39 (0.15). These estimates are posterior means of the Gibbs samples and are within the upper limits of comparable results reported in cattle.     

Characterization of porcine autism susceptibility candidate 2 as a candidate gene for the number of corpora lutea in pigs

In a previous study, we mapped two quantitative trait loci (QTL) approximately 50cM apart, both influencing the number of corpora lutea in pigs on chromosome 3. One locus included functional candidate genes for proteins related to specific aspects of fertility, such as the follicle-stimulating hormone receptor and the luteinizing hormone/choriogonadotropin receptor. However, specific genes related to the second locus have not yet been identified. This study aims to identify another candidate gene influencing the number of corpora lutea in pigs. Using 12 polymorphic markers, we fine-mapped a narrow region of pig chromosome 3 that had been shown to contain a QTL for corpora lutea. In the critical region, only 1 gene, autism susceptibility candidate 2 (AUTS2), was identified as a positional candidate. Our results demonstrate that the porcine AUTS2 gene consists of 19 exons with a complete open reading frame of 3768bp encoding an AUTS2 protein of 1256 amino acids. We screened the whole coding sequence and parts of the untranslated region for polymorphisms in an F(2) population of Duroc×Meishan crosses. We found 1 ins/del and 7 single nucleotide polymorphisms (SNP), including 2 nonsynonymous variants, c.943C>T in exon 7 and c.2828C>T in exon 19, resulting in P315S and A943V, respectively. The SNP c.943C>T within a proline-rich domain was genotyped in several breeds; the C allele occurred in all breeds, whereas the T allele occurred only in Meishan pigs. Using in situ hybridization, the mRNA expression of the AUTS2 gene was observed on granulosa cells in the porcine ovary and thus may be associated with hormone sensitivity.     

Evaluation of the CTSL2 gene as a candidate gene for alopecia X in Pomeranians and Keeshonden

Alopecia X is a noninflammatory, progressive, bilateral symmetric alopecia in dogs. The disease is mainly found in Nordic breeds. The breed predisposition and a strong familial accumulation suggest a hereditary background. We analyzed the cathepsin L2 gene (CTSL2) as a candidate for alopecia X. The comparative sequencing of 14 affected and 18 control animals revealed ten polymorphisms; however, none of these polymorphisms affected the coding sequence. Haplotype analysis did not reveal an association of one particular CTSL2 haplotype with the disease phenotype; therefore, we conclude that the CTSL2 gene is probably not the causative gene for alopecia X.     

A genome-wide association analysis implicates SOX6 as a candidate gene for wrist bone mass

Osteoporosis is a highly heritable common bone disease leading to fractures that severely impair the life quality of patients. Wrist fractures caused by osteoporosis are largely due to the scarcity of wrist bone mass. Here we report the results of a genome-wide association study (GWAS) of wrist bone mineral density (BMD). We examined ～500000 SNP markers in 1000 unrelated homogeneous Caucasian subjects and found a novel allelic association with wrist BMD at rs11023787 in the SOX6 (SRY (sex determining region Y)-box 6) gene (P=9.00×10(-5)). Subjects carrying the C allele of rs11023787 in SOX6 had significantly higher mean wrist BMD values than those with the T allele (0.485:0.462 g cm(-2) for C allele vs. T allele carriers). For validation, we performed SOX6 association for BMD in an independent Chinese sample and found that SNP rs11023787 was significantly associated with wrist BMD in the Chinese sample (P=6.41×10(-3)). Meta-analyses of the GWAS scan and the replication studies yielded P-values of 5.20×10(-6) for rs11023787. Results of this study, together with the functional relevance of SOX6 in cartilage formation, support the SOX6 gene as an important gene for BMD variation.     

Molecular genetic analysis of the pullalanase B gene of Bacillus acidopullulyticus

Abstract A fragment from Bacillus acidopullulyticus strain 294-16 encoding a pullunase activity has been cloned into Bacillus subtilis . The nucleotide sequence of the 3972 base pairs (bp) fragment has been determined and shown to include only one complete open reading frame (ORF) of 863 codons. The deduced amino acid sequence of this ORF, denoted pulB , shows homology to a number of amylolytic enzymes. Primary and secondary structure analysis indicates that the central region of the protein forms the catalytic domain in a characteristics ( β / α )₈ barrel. Three carboxylic acid residues essential for catalysis were identified. Regions within the catalytic domain proposed to be involved in substrate binding have been identified by homology.     

SNP-based analysis of genetic substructure in the German population

OBJECTIVE: To evaluate the relevance and necessity to account for the effects of population substructure on association studies under a case-control design in central Europe, we analysed three samples drawn from different geographic areas of Germany. Two of the three samples, POPGEN (n = 720) and SHIP (n = 709), are from north and north-east Germany, respectively, and one sample, KORA (n = 730), is from southern Germany. METHODS: Population genetic differentiation was measured by classical F-statistics for different marker sets, either consisting of genome-wide selected coding SNPs located in functional genes, or consisting of selectively neutral SNPs from 'genomic deserts'. Quantitative estimates of the degree of stratification were performed comparing the genomic control approach [Devlin B, Roeder K: Biometrics 1999;55:997-1004], structured association [Pritchard JK, Stephens M, Donnelly P: Genetics 2000;155:945-959] and sophisticated methods like random forests [Breiman L: Machine Learning 2001;45:5-32]. RESULTS: F-statistics showed that there exists a low genetic differentiation between the samples along a north-south gradient within Germany (F(ST)(KORA/POPGEN): 1.7 . 10(-4); F(ST)(KORA/SHIP): 5.4 . 10(-4); F(ST)(POPGEN/SHIP): -1.3 . 10(-5)). CONCLUSION: Although the F(ST )-values are very small, indicating a minor degree of population structure, and are too low to be detectable from methods without using prior information of subpopulation membership, such as STRUCTURE [Pritchard JK, Stephens M, Donnelly P: Genetics 2000;155:945-959], they may be a possible source for confounding due to population stratification.     

Cross-validation analysis for genetic evaluation models for ranking in endurance horses

Ranking trait was used as a selection criterion for competition horses to estimate racing performance. In the literature the most common approaches to estimate breeding values are the linear or threshold statistical models. However, recent studies have shown that a Thurstonian approach was able to fix the race effect (competitive level of the horses that participate in the same race), thus suggesting a better prediction accuracy of breeding values for ranking trait. The aim of this study was to compare the predictability of linear, threshold and Thurstonian approaches for genetic evaluation of ranking in endurance horses. For this purpose, eight genetic models were used for each approach with different combinations of random effects: rider, rider–horse interaction and environmental permanent effect. All genetic models included gender, age and race as systematic effects. The database that was used contained 4065 ranking records from 966 horses and that for the pedigree contained 8733 animals (47% Arabian horses), with an estimated heritability around 0.10 for the ranking trait. The prediction ability of the models for racing performance was evaluated using a cross-validation approach. The average correlation between real and predicted performances across genetic models was around 0.25 for threshold, 0.58 for linear and 0.60 for Thurstonian approaches. Although no significant differences were found between models within approaches, the best genetic model included: the rider and rider–horse random effects for threshold, only rider and environmental permanent effects for linear approach and all random effects for Thurstonian approach. The absolute correlations of predicted breeding values among models were higher between threshold and Thurstonian: 0.90, 0.91 and 0.88 for all animals, top 20% and top 5% best animals. For rank correlations these figures were 0.85, 0.84 and 0.86. The lower values were those between linear and threshold approaches (0.65, 0.62 and 0.51). In conclusion, the Thurstonian approach is recommended for the routine genetic evaluations for ranking in endurance horses.