CONNECTION g.307 G > A SNP POLYMORPHISM OF THE ALPHA-FUKOZYLTRASFERAZA 1 GENE WITH ECONOMIC-USEFUL TRAITS IN THE LARGE WHITE PIG BREED

2017 ◽  
Vol 54 ◽  
pp. 134-140
Author(s):  
H. S. Rudoman ◽  
V. M. Balatsky ◽  
V. Y. Nor ◽  
V. O. Vovk
Keyword(s):  
Genetic Structure ◽  
Information Content ◽  
Analysis Of Variance ◽  
Farm Animals ◽  
Daily Weight Gain ◽  
Fixation Index ◽  
Its Sequencing ◽  
Large White ◽  
Stage Of Development ◽  
High Level

One of the top priorities at the present stage of development of pig breeding remains the development of a set of measures aimed at increasing the resistance animals to various diseases, especially – to colibacteriosis .One of the recent and effective approaches to prevent colibacillosis is using markers of selection; it involves pig genotyping by genome locuses. Chosen locuses are associated with animal sensitivity to the disease and selection of the results of genotyping of animals with increased resistance. Due to researches, one of such locuses is alpha-fukozyltrasferаza 1 gene (FUT1). Gene FUT1 is located in chromosome 6. As a result of its sequencing in the swine breeds of Large White and Swedish Landrace, single-nucleotide polymorphism (g.307 G > A SNP) has been detected. AA genotype determines the resistance of animals to colibacteriosis, while AG and GG genotypes are susceptible to this disease. According to the results of previous studies, the positive effect of allele A was determined not only on the resistance of pigs to colibacteriosis, but also on indicators of fattening and meat productivity and on reproductive performance. In Ukraine, the studies of polymorphism FUT1 g.307 G > A SNP were held fragmentedly and only on certain populations of Ukrainian Meat and Large White breed but without establishing its association with the indicators of productivity of pigs. The aim of our work was to study the genetic structure of Ukrainian Large White breeds, type 1 and the establishment of association. g. 307 G > A SNP FUT1 gene with pigs indicators of productivity. For research the 96 samples of hair were used. DNA isolation from samples with biomaterial were carried out using ion exchange resin Chelex-100. Genotyping was performed by PCR-RFLP by method of Jorgensen et al. (2006). Using DNA analysis of this breeds locus FUT1 was determined by genetic structure. Allele frequency of allele G (0,573) and allele A (0,427) was established The distribution of genotype frequencies was not statistically significantly different from the theoretically expected, calculated by the Hardy-Weinberg criterion. Thus, according to the locus of FUT1 g.307 G > A, the breeds investigated are in a state close to the genetic equilibrium. The negative value of the fixation index by the locus FUT1 g.307 G > A indicates an excess of heterozygotes in the population, and hence the lack of targeted selection for this marker. The valuation was performed by calculating the PIC (polymorphic information content) – information content of polymorphism marker. In the analyzed pig herd for this marker, the PIC has an average value (0,367), which indicates the high level of polymorphism of the given locus and is favorable for the possibility of conducting a search for links between individual genotypes and indicators of productivity. To establish the association g.307 G > A SNP FUT1 gene with indicators of animal productivity, a one-way analysis of variance of the experimental data was used. Based on the results of a one-way analysis of variance, a significant effect of the genotypes of the FUT1gene (g.1849 G > C) on the indicator of the average daily weight gain (р ≤ 0,001), the thickness of the bacon at the level of the VI-VII vertebrae (p ≤ 0.01), reaching live weight of 100 kg (р ≤ 0,001) and breeding index of fattening qualities (р ≤ 0,01) was found. The parameter of the influence of the genetic factor on the test feature was 28,54%, 10,4%, 33,4% and 8,8% respectively. According to the investigated indicators of productivity, animals with genotype AA, which determines resistance to colibacteriosis, dominated the animals with genotypes GG and AG. Based on the results of our research and pre-published data, the multiple effect of the g.307 G > A SNP FUT1 gene is observed, which is associated with the indicators of productivity, which again confirms the polygenicity of the quantitative trait loci of farm animals. Taking into account a high level of polymorphism of the investigated gene and reliable associations of genotypes with indicators of productivity found, it can be recommended to carry out breeding of pigs using genetic information of the g.307 G > A SNP gene FUT1.

scholarly journals Population genetic structure of the Ukrainian black-pied dairy breed with the genome BoLA-DRB3

2018 ◽  
Vol 9 (4) ◽  
pp. 568-577
Author(s):  
T. M. Suprovych ◽  
T. M. Dyman ◽  
M. P. Suprovych ◽  
T. M. Karchevska ◽  
T. V. Koval ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Structure ◽  
Population Genetic Structure ◽  
Population Genetic ◽  
Efficiency Index ◽  
Fixation Index ◽  
Information Index ◽  
Allele Number ◽  
High Level ◽  
Dairy Breed

The second exon of the BoLA-DRB3 gene has the highest level of polymorphism among all studied loci of the major histocompatibility complex (MHC) in cattle, which allows it to be used for studying population-genetic structure and assessing the level of biodiversity of populations or comparing the biodiversity of particular herds. According to the results of typing the blood samples of 293 cows using the method of PCR-RLFP, we determined allele frequencies of the BoLA-DRB3 gene for the Ukrainian black-pied dairy breed. The study was conducted on three herds in Khmelnytskyi Oblast: LLC “Kozatska Dolyna 2006” (herd A, n = 122), agrofirm “Perlyna Podillya” (herd B, n = 82) and branch “Ridnyy kray” (herd C, n = 89). In total, 37 alleles were found: herd A 31, herd B 25 and herd C 28. In total, in the three subpopulations seven alleles were found with frequency of over 5%, the total share of which equaled 55.8%. The most widely distributed allele was BoLA-DRB3.2*24, which composed 22.2% of the allele pool of the breed. We determined a high level of observed (0.89 to 0.95) and expected (0.93 to 0.94) heterozygosity. In herds A and B, there was determined domination of homozygotes. Deviation from HWE, calculated using the value of Wright`s individual fixation index, equaled FIS(A) = 0.016 (χ2 = 0.03; P > 0.05) and FIS(B) = 0.044 (χ2 = 0.076; P > 0.05). In herd C, we found excess of heterozygotes FIS(C) = -0.017 (χ2 = 0.026; P > 0.05). Rather low values were determined for the subpopulation fixation index: FST(A) = 0.009 (χ2 = 65.9; P < 0.01), FST(B) = 0.012 (χ2 = 47.2; P < 0.05) and FST(C) = 0.003 (χ2 = 14.4; P > 0.05), which were significantly different from the mean value for cattle (FST = 0.078), indicating insignificant reduction of heterozygosity and divergence between the subpopulations by the BoLA-DRB3 gene. To assess genetic diversity, we calculated parameters of effective allele number (Ae) and Shannon’s information index (I). In spite of the different numbers of alleles found in the selections, it was suggested that for assessing their diversity, an efficiency index will be used which shows the share of effective alleles among all alleles found in a subpopulation (Ae/Nа). The calculated values of the parameters equaled: herd A Ae = 14.9, Ae/Nа = 0.48, I = 3.05; herd B Ae = 14.5, Ae/Nа = 0.58, I = 2.87; herd C Ae = 16.4, Ae/Nа = 0.59, I = 3.01. Frequencies of BoLA-DRB3 alleles were used for calculating genetic similarity and standard genetic distances according to Nei. Cows of herds B and C were found to be more genetically affinitive by the BoLA-DRB3 gene. Standard genetic distance between them was the lowest D = 0.13, which coincides with the geographic locations and historical development of these populations. The results of the study prove that the studied herds have a high level of polymorphism. Frequency characteristics, values of expected heterozygosity, effective allele number, efficiency index and Shannon’s information index compared to the similar parameters for Holstein, black-pied and some other local breeds of cattle indicate the high genetic diversity of the studied subpopulations of the Ukrainian black-pied dairy breed.

scholarly journals ANALYSIS OF POLYMORPHISM IN MUCIN 4 GENE ASSOCIATED WITH ANIMAL RESISTANCE TO COLIBACTERIOSIS IN PIGS OF DOMESTIC AND FOREIGN SELECTIONS

2018 ◽  
Vol 51 ◽  
pp. 200-205 ◽  
Author(s):  
H. Rudoman ◽  
V. Balatskyi ◽  
V. Nor
Keyword(s):  
Escherichia Coli ◽  
Genetic Structure ◽  
Genetic Resistance ◽  
Fixation Index ◽  
Large White ◽  
Selection For ◽  
Type 3 ◽  
Muc4 Gene ◽  
Selection Of

Nowadays one of the most common and critical problem in pig breeding is colibacteriosis. This infectious disease has acute course and it is caused by enteropathogenic strains of bacteria Escherichia coli. One of the recent and effective approaches to prevent colibacteriosis is using markers of selection; it involves pig genotyping by genome loci. The chosen loci are associated with animal sensitivity to the disease and selection of animals with increased resistance by the results of genotyping. According to several researches, one of such loci is Mucin 4 (MUC4) gene. MUC4 gene is located in the13-th chromosome (SSC13q41). Mucins (MUC) are macromolecular glycoproteins synthesized by goblet enterocytes and play main role in protecting the intestinal epithelium from pathogens, including adhesive strains of Escherichia coli. As a result of spot replacement g.1849 G>С in intron 7, structure of mucin protein encoded by gene is changing which leads to changes in the sensitivity of the intestinal mucosa to pathogenic Escherichia coli. G allele and respectively GG genotype determine the resistance of animals to colibacteriosis, while СС і GС genotypes are susceptible to this disease. In Ukraine, the studies of polymorphism MUC4 g.1849 G> C were held fragmentally and only at certain populations of Ukrainian Meat and Large White. The aim of the work was to determine the genetic structure of pig breeds of domestic and foreign selection for MUC4 gene and to establish the possibility of organizing marker associated selection for genetic improvement of resistance to colibacteriosis. For research the samples of blood and hair were used from the animals of Large White of English selection, Large White of Ukrainian selection Type 1 and Type 3, Red White-Belt, Mirgorod, Poltava Meat and Landrace breeds. DNA isolation from the samples of biomaterial were carried out using ion exchange resin Chelex-100. Genotyping was performed by PCR-RFLP by Jorgensen methods (2006) with own modifications, concerning the selection of primer annealing temperature and optimum concentration of the gel to separate the restriction fragments. Genetic structure was determined using DNA analysis of MUC4 locus at seven breeds and intrabreed types. Predominance of potentially beneficial G allele frequency over undesirable C allele was established in all the populations of the studied pigs. The highest frequencies of G allele were characterized for Mirgorod (0.795), Poltava Meat (0.740) and Red White-Belt (0.820) breeds. Analysis of the distribution of genotypes showed domination of genotypes GG and GC in all analysed populations. Positive Wright fixation index and predominance of expected heterozygosity (0.484) over actual one (0.460) for Large White of Ukrainian selection Type 3 indicate the existence of moderate inbreeding and selective pressure in this herd. Other populations were characterized by a negative value of fixation index, which is indicative of an excess of heterozygotes, these breeds are in outbreeding depression. Statically significant deviation of actual frequencies of genotypes from expected ones was identified using Hardy-Weinberg criterion for pig population of Large White of English selection and Large White of Ukrainian selection Type 1. This may indicate that these populations aren’t in condition of equilibrium and about inclusion of the chosen gene to the selection process. The valuation was performed by calculating the PIC (polymorphic information content) of the marker. Based on the calculated PIC index MUC4 locus could be perspective to be used in marker associated selection with improving genetic resistance to colibacteriosis. The data of Mucin 4 gene polymorphism at Ukrainian pig populations of different origins and productive direction show the possibility of marker selection to improve the genetic resistance of animals to colibacteriosis regardless of their belonging to breed. This creates prerequisites for the establishment and implementation of the early molecular diagnosis of carriers of harmful C allele in MUC4 gene in pig breeding.

scholarly journals Protein phenotypes and productive traits in Landrace, Large White and Duroc swine

1995 ◽  
Vol 25 (1) ◽  
pp. 61-65 ◽  
Author(s):  
Claudia Helena Tagliaro ◽  
Maria Helena Lartigau Pereira Franco ◽  
Werner Meincke ◽  
Gilberto Silva
Keyword(s):  
Weight Gain ◽  
Selection Index ◽  
Daily Weight Gain ◽  
Production Traits ◽  
Southern Brazil ◽  
Feed Conversion ◽  
Large White ◽  
Performance Variables ◽  
Phosphogluconate Dehydrogenase ◽  
Productive Traits

Fourteen protein systems coded by 15 structural loci were typed by horizontal electrophoresis to determine possible associations betweem the protein phenotypes and productive traits in Landrace (N=109), Largo White (N= 116) and Duroe (N=57) pigs, reared in Southern Brazil. Signiticant associations between protein phenotypes and production traits were detected. The most consistent interaction were observed between two protein systems (phosphogluconate dehydrogenase - Pgd and Hemopexin -Hpx) and at least one of the four performance variables considered. In Duroc breed, the Pgd phenotypes were associated with daily weight gain (P < 0.01), feed conversion ratio (P < 0.01) and selection index (P < 0.001), while in Landrace significant associations were observed only with feed convertion ratio (P < 0.05). The Hpx phenotypes were associated with daily weight gain (P < 0.05) and backfat thickness (P < 0.05) in Large White and with this last variable (P < 0.01) and selection index (P < 0.05) in Duroc pigs. Since these results had not been reported previously, turther studies are need to confirm these associations.

scholarly journals Performance and carcass evaluation of balami rams finished on diets with varying energy level

2020 ◽  
Vol 44 (2) ◽  
pp. 223-229
Author(s):  
S. B. Akinleye ◽  
A. B. Omojola ◽  
U. A. Offong ◽  
K. D. Afolabi ◽  
J. S. Luka
Keyword(s):  
Growth Performance ◽  
Energy Levels ◽  
Descriptive Statistics ◽  
Farm Animals ◽  
Daily Weight Gain ◽  
Carcass Quality ◽  
Dietary Energy ◽  
Genetic Status ◽  
Study Performance

Fattening of farm animals is a way of increasing the rate of meat deposit after maturity. Its effectiveness depends on genetic status of the animal and the diet fed to the animal. In this study, performance and carcass evaluation of balami rams finished on diets with varying energy levels were carried. Forty-eight rams of Balami breed, weighing 20.75±1.50- 22.50±1.91kg were randomly alloted to four dietary energy levels (EL): 2.20Mcal/kg (EL ), I 2.40 Mcal/kg ((EL ), 2.60 Mcal/kg ((EL ) and 2.80 Mcal/kg ((EL ) for 90 days. The feed II III IV intake and daily weight gain of the animals in each treatment were determined and the average recorded. Three Balami rams were randomly selected from each treatment and sacrificed to determine the dressing percentage (DP), carcass weight (CW), fat deposit (FD) and meat yield (MY). Data were analysed using descriptive statistics and ANOVA at á . The 0.05 FBW (kg) of Balami rams in group EL , EL , EL and EL were 41.88.6±1.97, 42.12±1.84, I II III IV 46.13±1.65 and 52.24±2.50 while the FCR of animals on treatments EL (5.3±0.28) and EL I II (5.2±0.26) were higher than EL (4.7±0.82) and EL (4.0±0.65). The DP (%) were 54.9, III IV 54.9, 55.8 and 56.1, the FD (%) were 9.00,9.59,8.92 and 11.46 and the MY (%) were 75.2, 74.7, 75.5 and 72.0 for rams on EL , EL , EL and EL The results indicate that, increasing I II III IV. levels of energy improved growth performance and carcass quality of Balami rams. Therefore, higher level of dietary energy (2.80 Mcal/kgDM and 14% CP) could be suggested for optimizing growth performance and meat quality of Balami ram under fattening condition.

scholarly journals GENOMIC DETERMINATION OF THE MOST IMPORTANT FATHER LINES OF SLOVAK PINZGAU COWS

AGROFOR ◽  
2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Veronika KUKUČKOVÁ ◽  
Nina MORAVČÍKOVÁ ◽  
Radovan KASARDA
Keyword(s):  
Genetic Diversity ◽  
Genetic Structure ◽  
The State ◽  
Most Probable Number ◽  
Pedigree Data ◽  
Probable Number ◽  
Expected Heterozygosity ◽  
High Level ◽  
The Bayesian Approach

The aim of this study was to assess genetic structure of Slovak Pinzgau populationbased on polymorphism at molecular markers using statistical methods. Femaleoffspring of 12 most frequently used bulls in Slovak Pinzgau breeding programmewere investigated. Pinzgau cattle were found to have a high level of diversity,supported by the number of alleles observed across loci (average 5.31, range 2-11)and by the high within-breed expected heterozygosity (average 0.66, range 0.64-0.73). The state of genetic diversity is satisfying and standard for local populations.Detection of 12 possible subpopulation structures provided us with detailedinformation of the genetic structure. The Bayesian approach was applied, detectingthree, as the most probable number of clusters. The similarity of eachsubpopulation using microsatellites was confirmed also by high-throughputmolecular data. The observed inbreeding (FROH=2.3%) was higher than thatexpected based on pedigree data (FPED=0.4%) due to the limited number ofavailable generations in pedigree data. One of the most important steps indevelopment of efficient autochthonous breed protection programs ischaracterization of genetic variability and assessment of the population structure.The chosen set of microsatellites confirmed the suitability in determination of thesubpopulations of Pinzgau cattle in Slovakia. The state of genetic diversity at moredetailed level was successfully performed using bovineSNP50 BeadChip.

scholarly journals The pattern of genetic diversity of different breeds of pigs based on microsatellite analysis

2020 ◽  
Vol 24 (7) ◽  
pp. 747-754
Author(s):  
V. R. Kharzinova ◽  
N. A. Zinovieva
Keyword(s):  
Genetic Diversity ◽  
Genetic Relationships ◽  
Molecular Genetic ◽  
Genetic Material ◽  
Animal Husbandry ◽  
Molecular Genetic Analysis ◽  
Fixation Index ◽  
Large White ◽  
Black And White ◽  
The Republic

One of the main tasks of genetics and animal breeding is the assessment of genetic diversity and the study of genetic relationships between different breeds and populations using molecular genetic analysis methods. We analysed the polymorphism of microsatellites and the information on the state of genetic diversity and the population structure of local breeds in Russia: the Kemerovo, the Berkshire, the Liven, the Mangalitsa, and the Civilian; in the Republic of Belarus: the Large White and the Black-and-White; and in Ukraine: the White Steppe, as well as commercial breeds of imported origin of domestic reproduction: the Large White, the Landrace, and the Duroc. The materials used for this study were the tissue and DNA samples extracted from 1,194 pigs and DNA of the UNU “Genetic material bank of domestic and wild animal species and birds” of the L.K. Ernst Federal Research Center for Animal Husbandry. Polymorphisms of 10 microsatellites (S0155, S0355, S0386, SW24, SO005, SW72, SW951, S0101, SW240, and SW857) were determined according to the previously developed technique using DNA analyser ABI3130xl. To estimate the allele pool of each population, the average number of alleles (NA), the effective number of alleles (NE ) based on the locus, the rarified allelic richness (AR), the observed (HO ) and expected (HE ) heterozygosity, and the fixation index (FIS) were calculated. The degree of genetic differentiation of the breeds was assessed based on the pairwise values of FST and D. The analysis of the allelic and genetic diversity parameters of the local breeds showed that the maximum and minimum levels of polymorphism were observed in pigs of the Ukrainian White Steppe breed (NA = 6.500, NE = 3.709, and AR = 6.020) and in pigs of the Duroc breed (NA = 4.875, NE = 2.119, and AR = 3.821), respectively. The highest level of genetic diversity was found in the Large White breed of the Republic of Belarus (HO = 0.707 and NE = 0.702). The minimum level of genetic diversity was found in pigs of the imported breeds – the Landrace (HO = 0.459, HE = 0.400) and the Duroc (HO = 0.480, HE = 0.469) – indicating a high selection pressure in these breeds. Based on the results of phylogenetic analysis, the genetic origin of Large White pigs, the breeds, from which the Berkshire pigs originated, and the genetic detachment of the Landrace from the Mangalitsa breeds were revealed. The cluster analysis showed a genetic consolidation of the Black-and-White, the Berkshire, and the Mangalitsa pigs. Additionally, the imported breeds with clustering depending on the origin were characterised by a genetic structure different from that of the other breeds. The information obtained from these studies can serve as a guide for the management and breeding strategies of the pig breeds studied, to allow their better use and conservation.

Economic Growth In The Conditions Of Digitalization In The EU Countries

2021 ◽  
Vol 38 (4) ◽  
Author(s):  
Oleksandr Vyshnevskyi ◽  
Ihor Stashkevych ◽  
Olena Shubna ◽  
Svetlana Barkova
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
European Commission ◽  
National Level ◽  
Present Stage ◽  
Eu Countries ◽  
Stage Of Development ◽  
Object Of Study ◽  
High Level ◽  
The Eu

The article discusses the dynamics of economic development based on the level of digitalization of the countries. Economic development is evaluated through the dynamics of GDP changes. Digitalization level is evaluated through the Digital Economy and Society Index (DESI), which is calculated on a regular basis by the European Commission. Object of study – 28 EU‑member countries. The hypothesis of the investigation: a high level of digitalization leads to an acceleration of economic growth on national level. This hypothesis did not find any statistically significant confirmation. Thus, we can conclude that the level of the economy digitalization at the present stage of development of technologies and institutions in the EU countries does not have a decisive effect on the rate of economic growth.

Achievements of female athletes in different disciplines of ketlebell lifting at the present stage

2021 ◽  
pp. 110-113
Author(s):  
K. V. Prontenko ◽  
V. Ya. Andreychuk ◽  
O. M. Kisilyuk ◽  
S. P. Griban ◽  
D. P. Polozenko ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Research Methods ◽  
Female Athletes ◽  
Present Stage ◽  
Training Process ◽  
Documentary Method ◽  
Stage Of Development ◽  
Current State ◽  
Arbitrary Change ◽  
High Level

The article is devoted to the study of the current state of female athletes’ training in ketlebell lifting. The dynamics of fulfillment of standards of the master of sports of Ukraine by female athletes in all disciplines of ketlebell lifting in the period from 2016 to 2021 is analyzed. Female athletes (women aged 18-35 years) of national teams of regions of Ukraine in weight categories up to 58 kg, up to 63 kg, up to 68 kg and over 68 kg took part in the study. The protocols of the championships of Ukraine for the specified period were analyzed. Research methods: theoretical analysis and generalization of scientific and methodical literature and documentary method (study of competition protocols). It was found that in the snatch for the period under study the standard of the master of sports obeyed only three athletes, but in the jerk and long cycle no one female athletes have not fulfill the standarts. In addition, in a snatch with an arbitrary change of hands for 12 minutes (R-12), which was introduced in 2019 to attract more women to ketlebell lifting and popularize ketlebell lifting among women, in three years the standard of master of sports obeyed 27 female athletes. This allows us to say that at the present stage of development of ketlebell lifting there is a high level of preparedness of female athletes in the discipline of R-12 and the popularity of exercises with ketlebells among women. The need to improve the training process of female athletes in other disciplines of ketlebell lifting was also confirmed.

scholarly journals Capitalization as a Tool for Managing the Development of Industry and Rail Transport

2019 ◽  
Vol 67 ◽  
pp. 01010
Author(s):  
Igor Posokhov ◽  
Victoriia Cherepanova ◽  
Olha Podrez
Keyword(s):  
Occupational Injury ◽  
Programming Model ◽  
Rapid Development ◽  
Rail Transport ◽  
High Rate ◽  
Real Economy ◽  
Industrial Enterprises ◽  
Stage Of Development ◽  
Environmental Measures ◽  
High Level

The Ukrainian real economy encounters similar problems that do not allow its rapid development – high level of wear of productive assets, lack of modern equipment, outdated technologies, inappropriate environmental measures, high rate of occupational injury, etc. All this requires designing of new tools to manage the development of such important sectors of economy as industry and rail transport. Therefore, the urgent issues at the current stage of development of these industries include the definition of conditions for fixed assets capitalization and the sources of its financing. The scientific novelty of the results is identification and justification of the capitalization main components, determining the sources of funding and the mechanism for their attraction. The tool for managing the productive and environmental protection assets capitalization has been designed which is optimized using a two-dimensional dynamic programming model. The results obtained are the basis for the practical solution of the problem, and for further scientific research. This approach allows solving the problem of rail transport and industrial enterprises capitalization in a comprehensive manner, which contributes to their sustainable development.

scholarly journals Using nuclear microsatellite data to trace the gene flow and population structure in Czech horses

2019 ◽  
Vol 64 (No. 2) ◽  
pp. 67-77
Author(s):  
L. Putnová ◽  
R. Štohl ◽  
I. Vrtková
Keyword(s):  
Gene Flow ◽  
Genetic Structure ◽  
Inbreeding Coefficient ◽  
Success Rates ◽  
Data Set ◽  
Depth Study ◽  
Nuclear Microsatellite ◽  
High Level ◽  
Equus Przewalskii ◽  
Assignment Success

Based on a data set comprising 2879 animals and 17 nuclear microsatellite DNA markers, we propose the most comprehensive in-depth study mapping the genetic structure and specifying the assignment success rates in horse breeds at the Czech population scale. The STRUCTURE program was used to perform systematic Bayesian clustering via the Markov chain Monte Carlo estimation, enabling us to explain the population stratification and to identify genetic structure patterns within breeds worldwide. In total, 182 different alleles were found over all the populations and markers, with the mean number of 10.7 alleles per locus. The expected heterozygosity ranged from 0.459 (Friesian) to 0.775 (Welsh Part Bred), and the average level reached 0.721. The average observed heterozygosity corresponded to 0.709, with the highest value detected in the Czech Sport Pony (0.775). The largest number of private alleles was found in Equus przewalskii. The population inbreeding coefficient F<sub>IS</sub> ranged from –0.08 in the Merens to 0.14 in the Belgian Warmblood. The total within-population inbreeding coefficient was estimated to be moderate. As expected, very large genetic differentiation and small gene flow were established between the Friesian and Equus przewalskii (F<sub>ST </sub>= 0.37, Nm = 0.43). Zero F<sub>ST</sub> values indicated no differences between the Czech Warmblood–Slovak Warmblood and the Czech Warmblood–Bavarian Warmblood. A high level of breeding and connectivity was revealed between the Slovak Warmblood–Bavarian Warmblood, Dutch Warmblood–Oldenburg Horse, Bavarian Warmblood–Dutch Warmblood, and Bavarian Warmblood–Oldenburg Horse. The breeds’ contribution equalled about 6% of the total genetic variability. The overall proportion of individuals correctly assigned to a population corresponded to 82.4%. The posterior Bayesian approach revealed a hierarchical dynamic genetic structure in four clusters (hot-blooded, warm-blooded, cold-blooded, and pony). While most of the populations were genetically distinct from each other and well-arranged with solid breed structures, some of the entire sets showed signs of admixture and/or fragmentation.

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