The current state of Vyatka horse breed gene pool was studied in the research. It was revealed that the main array of the breeding stock is concentrated in three populations of three regions - the Udmurt Republic, the Kirov region, the Central Federal District. The purpose of the research was to assess the state of gene pool of Vyatka breed in modern conditions. Population of breeding stock horses both in agricultural enterprises and on private farms was analyzed in the territory of three regions of the Russian Federation: the Udmurt Republic, the Kirov Region, the Central Federal District. According to the genetic characteristics, horses in each population were divided into groups based on the relation degree: group 1 - outbred, group 2 - with distant Fx inbreeding (0.21.55 %), group 3 - with moderate Fx inbreeding (1.5612.5 %), group 4 - with close Fx inbreeding (12.625 %). The coefficient of inbreeding was estimated according to the Wright-Kislovsky formula. The most typical horses with an inherent conformation were outbred horses from the population of the Central Federal District. Monitoring the quantitative composition of the breed showed that the number of mares increased from 73 to 287 heads over the period from 1995 to 2021. However, a sharp decrease in the number of mares (222 heads) was recorded at the beginning of 2022. This tendency creates certain difficulties in the selection process. The largest number of mares is concentrated in the Central Federal District - 83 heads nowadays. At the present stage of work with Vyatka breed the analysis of genetic diversity showed that 43.3 % of the representatives were outbred, it was based on the study of the increase in homozygosity of individuals in a limited gene pool. Representatives of the Vyatka breed were obtained in equal proportions by remote and moderate inbreeding - 28.1 and 27 %, respectively. The most typical with the correct conformation were outbred horses from the population of the Central Federal District.
Abstract. The population-genomic structure of the Vyatka horses was studied in the context of 10 male genealogical lines bred in the breed. Purpose. Evaluation of the genetic and breeding potential of the Vyatka breed, as well as the influence of factory breeds. Methods. Isolation of DNA from the hair follicles of Vyatka horses (n = 38) was performed using “ExtraGene DNA Prep 2000” by allele-specific PCR. Statistical calculations of allele frequencies and the types of studied loci were performed using MS Excel 10 software. Results. The polymorphism of MSTN, GYS1, DMTR3, CAST, and PRLR genes in Vyatka breed lines was studied for the first time. According to the frequency of occurrence CAST G/A (0.472) and PRLR G/C (0.417), as well as the genotype MSTN T/T (0.579) is somewhat dominated by the heterozygous genotypes characteristic of local breeds. They revealed polysaccharide accumulation mutation PSSM1 (0.189), characteristic of draft horses, and the DMRT3 mutation (0.087), which determines the ability for a non-standard gait - amble, noted among Oryol trotters, which indicates the presence of draft and trotting blood in the lines carrying these alleles. MSTN/C and DMRT3/A alleles, which are not typical for aborigines, are noted in Znatok line, whose representatives are distinguished by a lightweight body type and productive movements. The carriers of the mutant defective GYS1 allele (PSSM1) were identified in five lines: Bob, Gabizon, Buran, Dobrik, and Malakhit. Genotyping of all used stallions for genes associated with economically useful traits will allow more efficient selection in the Vyatka breed and prevent the spread of unwanted alleles, which is especially important for small breeds. Scientific novelty. For the first time, an intrapopulation genomic analysis of the domestic horse breed was studied in the interline aspect, and the influence of factory breeds on certain genealogical lines was shown. The polymorphism of the calpastatin (CAST) and prolactin receptor (PRLR) genes has not previously been studied in horse breeding.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.