Genetic polymorphism of prolactin and nitric oxide synthase in Holstein cattle

Background and Aim: Bacterial and viral infections affect the welfare of animals and lead to large economic losses in dairy cattle breeding due to decreased productive indicators and increased culling rates. In modern dairy farming, farmers are looking for effective solutions to prevent and minimize infectious disease risks. To this end, the most relevant study field is the search for gene sites that impact production and health. This study aimed to determine the nature of the distribution of the relative frequencies of alleles and genotypes of polymorphic prolactin (PRL) and nitric oxide synthase (NOS2) in Holstein cows and identify the relationship of these genes with resistance to mastitis and bovine leukemia. Materials and Methods: For this study, we chose cows because infectious diseases affect the amount of lactation and milk quality. Holstein cattle with mastitis and bovine leukemia were selected. Animal genotypes were determined by restriction fragment length polymorphism (RFLP) of polymerase chain reaction (PCR) products. The results were analyzed using a nonparametric statistical method using Microsoft Excel 2010 and Statistica 6.0. Results: In healthy animals, 94 genotypes were identified for both genes under study. For bPRL, bPRL-RsaIAA (72) was the most common genotype and bPRL-RsaIBB (4) the least; for NOS2, bNOS2-HinfIAB (47) was the most common genotype and bNOS2-HinfIAA the least (21). In animals with leukemia, 34 genotypes were identified. For PRL, bPRL-RsaIAA (25) was the most common genotype and bPRL-RsaIBB (2) the least; for NOS2, bNOS2-HinfIBB (17) was the most common genotype and bNOS2-HinfIAA (3) the least. In animals with mastitis, 67 genotypes were identified. For PRL, bPRL-RsaIAA (43) was the most common genotype and bPRL-RsaIBB (6) the least; for NOS2, bNOS2-HinfIBB (31) was the most common genotype and bNOS2-HinfIAA (7) the least. The distribution of genotypes of polymorphic bPRL and bNOS2 generally coincides, and bPRL-RsaIBB is the most common genotype. In groups of sick animals, the number of bNOS2-HinfIAA homozygotes was lower than that of the control group. In particular, the proportion of animals with the bNOS2-HinfIAA genotype with bovine leukemia was 8.7% and with mastitis was 10.3% compared with 22.4% in healthy animals. These data support the possible association of the bNOS2-HinfIAA genotype with resistance to infection. The frequency of the bPRL-RsaIB allele was higher in groups of sick animals. This allele is associated with increased milk productivity, suggesting that highly productive animals are less resistant to the incidence of viral bovine leukemia and mastitis of bacterial etiology. Conclusion: DNA amplification of Holstein cattle for the polymorphic regions of PRL and NOS2 using the PCR-RFLP method revealed a possible connection between the distribution of relative allele frequencies of bPRL and bNOS2 and resistance to viral and bacterial infections. Thus, in groups of sick animals, the frequency of bPRL-RsaIBB, associated with increased milk production compared with the theoretically calculated equilibrium value was higher and the number of homozygotes bNOS2-HinfIAA was lower than in the control group. In conclusion, animals with increased milk production were more prone to diseases, such as mastitis and bovine leukemia

GPU-Optimized Bi-Directional Path Tracing

In this paper we present a light-weight modification of bi-directional path tracing algorithm that is optimized for massively parallel architectures with limited memory, like GPU. The amount of computations performed by the algorithm is still comparable to unidirectional path tracing. Though modified algorithm preserves some benefits of general bi-directional path tracing and handles indirect illumination and caustics quite efficiently

Genetic structure and genome-wide association study of the traditional Kazakh horses

Horses are traditionally used in Kazakhstan as a source of food and as working and saddle animals as well. Here, for the first time, microarray-based medium-density single nucleotide polymorphism (SNP) genotyping of six traditionally defined types and breeds of indigenous Kazakh horses was conducted to reveal their genetic structure and find markers associated with animal size and weight. The results showed that the predefined separation between breeds and sampled populations was not supported by the molecular data. The lack of genetic variation between breeds and populations was revealed by the principal component analysis, ADMIXTURE, and distance-based analyses, as well as the general population parameters expected and observed heterozygosity (He and Ho) and between-group fixation index (Fst). The analysis revealed that the studied types and breeds should be considered as a single breed, namely the ‘Kazakh horse’. The comparison with previously published data on global horse breed diversity revealed the relatively high level of individual diversity of Kazakh horses in comparison with the well-known foreign breeds. The Mongolian and Tuva breeds were identified as the closest horse landraces, demonstrating similar patterns of internal variability. The genome-wide association analysis was performed for animal size and weight as the traits directly related with the meat productivity of horses. The analysis identified a set of 60 SNPs linked with horse genes involved in the regulation of processes of development of connective tissues and the bone system, neural system, immune system regulation, and other processes. The present study is novel and introduces Kazakh horses as a promising genetic source for horse breeding and selection both on the domestic and international levels