N.A. Zinovieva

Whole-genome analysis of introgressive hybridization and characterization of the bovine legacy of Mongolian yaks

The yak is remarkable for its adaptation to high altitude and occupies a central place in the economies of the mountainous regions of Asia. At lower elevations, it is common to hybridize yaks with cattle to combine the yaks hardiness with the productivity of cattle. Hybrid males are sterile, however, preventing the establishment of stable hybrid populations, but not a limited introgression after backcrossing several generations of female hybrids to male yaks. Here we inferred bovine haplotypes in the genomes of 76 Mongolian yaks using high-density SNP genotyping and whole-genome sequencing. These yaks inherited ∼1.3% of their genome from bovine ancestors after nearly continuous admixture over at least the last 1,500 years. The introgressed regions are enriched in genes involved in nervous system development and function, and particularly in glutamate metabolism and neurotransmission. We also identified a novel mutation associated with a polled (hornless) phenotype originating from Mongolian Turano cattle. Our results suggest that introgressive hybridization contributed to the improvement of yak management and breeding.

Population structure and genome characterization of local pig breeds in Russia, Belorussia, Kazakhstan and Ukraine

BackgroundIt is generally accepted that domestication of pigs took place in multiple locations across Eurasia; the breeds that originated in Europe and Asia have been well studied. However, the genetic structure of pig breeds from Russia, Belorussia, Kazakhstan and Ukraine, which represent large geographical areas and diverse climatic zones in Eurasia, remains largely unknown.ResultsThis study provides the first genomic survey of 170 pigs representing 13 breeds from Russia, Belorussia, Kazakhstan and Ukraine; 288 pigs from six Chinese and seven European breeds were also included for comparison. Our findings show that the 13 novel breeds tested derived mainly from European pigs through the complex admixture of Large White, Landrace, Duroc, Hampshire and other breeds, and that they display no geographic structure based on genetic distance. We also found a considerable Asian contribution to the miniature Siberian pigs (Minisib breed) from Russia. Apart from the Minisib, Urzhum, Ukrainian Spotted Steppe and Ukrainian White Steppe breeds, which may have undergone intensive inbreeding, the breeds included in this study showed relatively high genetic diversity and low levels of homozygosity compared to the Chinese indigenous pig breeds.ConclusionsThis study provides the first genomic overview of the population structure and genetic diversity of 13 representative pig breeds from Russia, Belorussia, Kazakhstan and Ukraine; this information will be useful for the preservation and management of these breeds.

A Study of Applicability of SNP Chips Developed for Bovine and Ovine Species to Whole-Genome Analysis of Reindeer Rangifer tarandus

Two sets of commercially available single nucleotide polymorphisms (SNPs) developed for cattle (BovineSNP50 BeadChip) and sheep (OvineSNP50 BeadChip) have been trialed for whole-genome analysis of 4 female samples of Rangifer tarandus inhabiting Russia. We found out that 43.0% of bovine and 47.0% of Ovine SNPs could be genotyped, while only 5.3% and 2.03% of them were respectively polymorphic. The scored and the polymorphic SNPs were identified on each bovine and each ovine chromosome, but their distribution was not unique. The maximal value of runs of homozygosity (ROH) was 30.93Mb (for SNPs corresponding to bovine chromosome 8) and 80.32Mb (for SNPs corresponding to ovine chromosome 7). Thus, the SNP chips developed for bovine and ovine species can be used as a powerful tool for genome analysis in reindeer R. tarandus.

Comparative analysis of the effectiveness of STR and SNP markers for intraspecific and interspecific differentiation of the genus Ovis

A comparative study of the informativeness of SNP and STR markers for interspecific and intraspecific differentiation of the two species of the genus Ovis, snow sheep (O. nivicola) and domestic sheep (O. aries), was conducted. Eleven STR loci combined into two multiplex panels were examined. SNP analysis was performed with the DNA microarray OvineSNP50K BeadChip featuring 54241 SNPs. The possibility of clear differentiation of the studied Ovis species with both types of genetic markers was demonstrated. The advantages of SNP markers for intraspecific differentiation of the O. aries breeds and O. nivicola geographical groups were revealed. The areas of application of the studied types of DNA markers are discussed.

Genome-wide SNP analysis unveils genetic structure and phylogeographic history of snow sheep (Ovis nivicola) populations inhabiting the Verkhoyansk Mountains and Momsky Ridge (northeastern Siberia)

Abstract Insights into the genetic characteristics of a species provide important information for wildlife conservation programs. Here, we used the OvineSNP50 BeadChip developed for domestic sheep to examine population structure and evaluate genetic diversity of snow sheep (Ovis nivicola) inhabiting Verkhoyansk Range and Momsky Ridge. A total of 1,121 polymorphic SNPs were used to test 80 specimens representing five populations, including four populations of the Verkhoyansk Mountain chain: Kharaulakh Ridge–Tiksi Bay (TIK, n = 22), Orulgan Ridge (ORU, n = 22), the central part of Verkhoyansk Range (VER, n = 15), Suntar‐Khayata Ridge (SKH, n = 13), and Momsky Ridge (MOM, n = 8). We showed that the studied populations were genetically structured according to a geographic pattern. Pairwise FST values ranged from 0.044 to 0.205. Admixture analysis identified K = 2 as the most likely number of ancestral populations. A Neighbor‐Net tree showed that TIK was an isolated group related to the main network through ORU. TreeMix analysis revealed that TIK and MOM originated from two different ancestral populations and detected gene flow from MOM to ORU. This was supported by the f3 statistic, which showed that ORU is an admixed population with TIK and MOM/SKH heritage. Genetic diversity in the studied groups was increasing southward. Minimum values of observed (Ho) and expected (He) heterozygosity and allelic richness (Ar) were observed in the most northern population—TIK, and maximum values were observed in the most southern population—SKH. Thus, our results revealed clear genetic structure in the studied populations of snow sheep and showed that TIK has a different origin from MOM, SKH, and VER even though they are conventionally considered a single subspecies known as Yakut snow sheep (Ovis nivicola lydekkeri). Most likely, TIK was an isolated group during the Late Pleistocene glaciations of Verkhoyansk Range.

Characteristics of the Genetic Structure of Snow Sheep (Ovis nivicola lydekkeri) of the Verkhoyansk Mountain Chain

Genetic characteristics of the allele pool of four groups of the Yakut snow sheep subspecies (Ovis nivicola lydekkeri) inhabiting various parts of the Verkhoyansk Mountain Range such as Kharaulakh Ridge, Orulgan Ridge, ridges of the Central Verkhoyansk, and Suntar-Khayata Ridge is presented. Fragment analysis using 17 microsatellite loci was carried out using the ABI 3131xl genetic analyzer. Significant heterozygote deficiency was detected in all investigated snow sheep populations. Differentiation of the studied groups in accordance to their geographical origin was revealed.

Whole-genome SNP analysis elucidates the genetic structure of Russian cattle and its relationship with Eurasian taurine breeds

BackgroundThe origin of native and locally developed Russian cattle breeds is linked to the historical, social, cultural, and climatic features of the diverse geographical regions of Russia. In the present study, we investigated the population structure of nine Russian cattle breeds and their relations to the cattle breeds from around the world to elucidate their origin. Genotyping of single nucleotide polymorphisms (SNPs) in Bestuzhev (n = 26), Russian Black-and-White (n = 21), Kalmyk (n = 14), Kholmogor (n = 25), Kostromsky (n = 20), Red Gorbatov (n = 23), Suksun (n = 20), Yakut (n = 25), and Yaroslavl cattle breeds (n = 21) was done using the Bovine SNP50 BeadChip. SNP profiles from an additional 70 breeds were included in the analysis as references.ResultsThe observed heterozygosity levels were quite similar in eight of the nine studied breeds (HO = 0.337–0.363) except for Yakut (Ho = 0.279). The inbreeding coefficients FIS ranged from -0.028 for Kalmyk to 0.036 for Russian Black-and-White and were comparable to those of the European breeds. The nine studied Russian breeds exhibited taurine ancestry along the C1 axis of the multidimensional scaling (MDS)-plot, but Yakut was clearly separated from the European taurine breeds on the C2 axis. Neighbor-Net and admixture analyses, discriminated three groups among the studied Russian breeds. Yakut and Kalmyk were assigned to a separate group because of their Turano-Mongolian origin. Russian Black-and-White, Kostromsky and Suksun showed transboundary European ancestry, which originated from the Holstein, Brown Swiss, and Danish Red breeds, respectively. The lowest level of introgression of transboundary breeds was recorded for the Kholmogor, Yaroslavl, Red Gorbatov and Bestuzhev breeds, which can be considered as an authentic genetic resource.ConclusionsWhole-genome SNP analysis revealed that Russian native and locally developed breeds have conserved authentic genetic patterns in spite of the considerable influence of Eurasian taurine cattle. In this paper, we provide fundamental genomic information that will contribute to the development of more accurate breed conservation programs and genetic improvement strategies.

Population structure and genetic diversity of 25 Russian sheep breeds based on whole-genome genotyping

BackgroundRussia has a diverse variety of native and locally developed sheep breeds with coarse, fine, and semi-fine wool, which inhabit different climate zones and landscapes that range from hot deserts to harsh northern areas. To date, no genome-wide information has been used to investigate the history and genetic characteristics of the extant local Russian sheep populations. To infer the population structure and genome-wide diversity of Russian sheep, 25 local breeds were genotyped with the OvineSNP50 BeadChip. Furthermore, to evaluate admixture contributions from foreign breeds in Russian sheep, a set of 58 worldwide breeds from publicly available genotypes was added to our data.ResultsWe recorded similar observed heterozygosity (0.354–0.395) and allelic richness (1.890–1.955) levels across the analyzed breeds and they are comparable with those observed in the worldwide breeds. Recent effective population sizes estimated from linkage disequilibrium five generations ago ranged from 65 to 543. Multi-dimensional scaling, admixture, and neighbor-net analyses consistently identified a two-step subdivision of the Russian local sheep breeds. A first split clustered the Russian sheep populations according to their wool type (fine wool, semi-fine wool and coarse wool). The Dagestan Mountain and Baikal fine-fleeced breeds differ from the other Merino-derived local breeds. The semi-fine wool cluster combined a breed of Romanian origin, Tsigai, with its derivative Altai Mountain, the two Romney-introgressed breeds Kuibyshev and North Caucasian, and the Lincoln-introgressed Russian longhaired breed. The coarse-wool group comprised the Nordic short-tailed Romanov, the long-fat-tailed outlier Kuchugur and two clusters of fat-tailed sheep: the Caucasian Mountain breeds and the Buubei, Karakul, Edilbai, Kalmyk and Tuva breeds. The Russian fat-tailed breeds shared co-ancestry with sheep from China and Southwestern Asia (Iran).ConclusionsIn this study, we derived the genetic characteristics of the major Russian local sheep breeds, which are moderately diverse and have a strong population structure. Pooling our data with a worldwide genotyping set gave deeper insight into the history and origin of the Russian sheep populations.

GENOMIC EVALUATION OF BULLS FOR DAUGHTERS’ MILK TRAITS IN RUSSIAN BLACK-AND-WHITE AND HOLSTEIN CATTLE POPULATION THROUGH THE VALIDATION PROCEDURE

The rapid development of molecular genetic methods in animal breeding over the past ten years has given rise to an increase of the selection intensity at the population level. Expansion of the economically useful traits spectrum of dairy cattle allowed increasing the opportunities for breeding to improve the cows’ health and for studying the essence of the metabolic synthesis of milk components. The purpose of this study was to verify the effectiveness of genomic forecasting in the development of the concept of dairy cattle genetic assessment in the regional and national aspects. The study for bulls’ estimations in Russian Black-and-White improved by Holstein and Holstein breeds by simulation of breeding process using 124 herds of the Moscow and Leningrad regions was carried out. The effectiveness of genomic prediction as compared to the parent averages (PA) and the estimated breeding values (EBV) of sires have been shown. The selection of testing bulls based on the genomic information corrects PA and is to refine EBV that is further obtained by using progeny. Repeatability of genomic EBV was obtained through validation of parentage and genomic information for 100 sires with data for at least 300 daughters. This dataset lay down the core of the newly created Russian regional reference group of dairy cattle. For calculating the additive relationship matrix 1050 ancestors was used. For genomic relationship matrix, 39818 nucleotide polymorphisms were taken into analysis. Based on the REML, BLUP SM, GBLUP methods the procedures to assess of animals were carried out. The average annual genetic trend for milk production traits in the studied populations from 1987 to 2006 was +60 kg, +2.5 kg, +1.5 kg by milk yield, milk fat and milk protein, respectively. It was found that the repeatability of genomic estimates was ranging from 0.371 to 0.606 for milk production traits, which on average exceeded the PA value by 0.147. The accuracy of the evaluation obtained by progeny tested bulls ranged from 0.879 to 0.900 that was higher than the genomic prediction by 0.405 units. The principles of creating the reference population based on the analysis of multi dimension scaling and genetic distances were studied. The distinction between two regional populations (Moscow and Leningrad regions) was Fst = 0.0025. The decay of the linkage disequilibrium between the markers at distances up to 1000 kb is shown. In distance from 5 up to 70 kb the linkage level was get the maximum values from 0.20 to 0.54. In the framework of the metabolic pathways study for the milk components synthesis genetic parameters and mean least square estimates

Genetic characteristics of Kodar snow sheep using SNP markers

For the first time nuclear DNA polymorphisms were studied in Kodar snow sheep (Ovis nivicola kodarensis, KOD). KOD is a representative of a small isolated population of Asian snow sheep (Ovis nivicola Eschscholtz, 1829) inhabiting the Kodar Ridge (Irkutsk oblast, Transbaikal krai). We compared KOD with the geographically closest Yakut subspecies (Ovis nivicola lydekkeri). Genome-wide study of single-nucleotide polymorphisms (SNPs) was performed using the Illumina OvineSNP50 BeadChip (Illumina, United States). The final set of markers for analysis included 1030 SNPs. We found that Kodar snow sheep had almost 10 times lower level of genetic diversity evaluated by multilocus heterozygosity—MLH (0.027 for KOD vs 0.215–0.270 for individuals of Yakut subspecies) and standardized MLH—stMLH (0.116 against 0.910–1.147). The results of multidimensional scaling (MDS), Nei distances calculations (DN) and STRUCTURE analysis showed a clear genetic differentiation of Kodar snow sheep from Yakut subspecies. Our data is the first step to understanding the demographic history of the original Kodar population of snow sheep.