A total of 75 individuals from five sheep populations in Kazakhstan were investigated based on 12 STR (short tandem repeat, also known as microsatellite) markers in order to study their genetic structure and phylogenetic relationship based on genetic distances. These sheep had a high level of genetic diversity. In total, 163 alleles were found in all the populations using 12 microsatellite loci. The mean number of alleles, effective number of alleles, and polymorphism information content (PIC) values per loci were 13.4, 5.9, and 0.78, respectively. Comparing the allelic diversity between the populations, the highest genetic diversity was observed in the Edilbay-1 sheep breed (8.333±0.644), and the lowest parameter was for Kazakh Arkhar-Merino (7.083±0.633). In all populations, there is a deficiency of heterozygosity. The largest genetic diversity was found in loci INRA023 and CSRD247 with 16 alleles, and the smallest polymorphism was noted for the locus D5S2 with 8 alleles. The level of observed heterozygosity was in the range 0.678±0.051 for Kazakh Arkhar-Merino and 0.767±0.047 for Kazakh fat-tailed coarse wool. The expected heterozygosity level range was from 0.702±0.033 for Kazakh Arkhar-Merino to 0.777±0.023 for Edilbay-1. When 12 microsatellite loci are compared, the OarFCB20 locus showed the highest level of genetic variability. Excess of heterozygosity was observed at three loci; MAF065, McM042, and OarFCB20. The highest genetic distance was observed between Kazakh Arkhar-Merino and Edilbay-1, whereas the genetic distance between Edilbay-1 and Edilbay-2 is the smallest using Nei's standard genetic distance. The Edilbay-1 sheep breed possesses the largest genetic diversity among these five populations.

Background: Saryarka sheep belong to fat-tailed coarse-wool sheep breed. This breed is distinguished by increased meat productivity while being competitive in young lamb production. Live weight and body indices are relevant data for assessing sheep body constitution, which directly affects the breeding characteristics and meat productivity of animals. Objectives: This study aimed to find associations with SNPs and nine phenotypic characteristics of the Saryarka fat-tailed coarse-wool sheep breed including live weight and eight body indices (wither height, rump height, bicoastal diameter, body depth, body length, rump width, heart girth, and cannon bone circumference), and find candidate genes related to these characteristics. Methods: A total of 100 animals from the Karaganda region of Kazakhstan were used in this study. Live weight and eight body indices of sheep were measured using tape and electronic scales. The blood samples of the animals were used for DNA extraction. DNA samples were genotyped with the OvineSNP50 Genotyping BeadChip and analyzed using GWAS. Statistically significant SNPs were identified for each characteristic trait referencing the genome of Ovis aries (Oar_v3.1) using BioMart. Results: The GWAS results demonstrated a substantial chromosomal-level correlation between 32 chromosome-wide significant and suggestively significant SNPs in the studied sheep breed. Overall, seven SNPs located in seven different genes were revealed as candidates for live weight and four body indices: s20793.1 SNP in the IGFBP6 gene for live weight, OAR4_54217431.1 SNP in the ST7 gene for bicoastal diameter, s25229.1 in the SCD5 gene, and s01175.1 SNP in the DTNBP1 gene for rump width, OAR2_175574781.1 SNP in the KYNU gene for heart girth, and OAR1_209022621.1 SNP in the FGF12 gene and s15415.1 SNP in the FTO gene for cannon bone circumference. Some of these genes were previously reported to be involved in body constitution and fat deposit in other sheep breeds. Conclusions: The results of the present study open up new opportunities for targeted sheep breeding for meat and fat productivity.

Understanding the genetic diversity and structure of domesticated horse (Equus caballus) populations is critical for long-term herd management and breeding programs. This study examines 435 horses from Kazakhstan, covering seven groups in three geographic areas using 11 STR markers. Identified are 136 alleles, with the mean number of alleles per locus ranging from 9 to 19. VHL20 is the most variable locus across groups, while loci HTG4, AHT4, AHT5, HTG7, and HMS3 are variable in most populations. The locus AHT5 in the Emba population shows the highest frequency of rare alleles, while the lowest frequency, 0.005, is observed in the Kulandy population. All loci were highly informative for the Kazakhstani populations of E. caballus, with PIC values higher than 0.5. Pairwise variations in Wright’s F_ST distances show that the examined varieties have little genetic differentiation (0.05%), indicating a high degree of admixture and a continuing lineage sorting process. Phylogenetic and population structure analyses reveal three major clusters of Kazakh horses, representing (I) the Uralsk population of the Kushum breed and the monophyly of two groups: (II) the Kozhamberdy population of the Mugalzhar breed, and (III) the Mugalzhar–Kushum breed populations. Kazakhstani horse populations, while being regionally isolated, were recently in contact with each other.

Lamb meat has become increasingly popular in several nations during the last few decades, especially in Kazakhstan. Due to the rising demand for lamb meat, our sheep breeders developed a new fat-tailed sheep and named the breed Baisary. Animals of the Baisary breed are characterized by a large physique, strong constitution, stretched body, deep and wide chest, medium or large-sized fat tail, long legs (height at the withers of adult rams 85–100 cm, sheep 75–90 cm), long lanceolate ears and strong hooves. Lambs of the Baisary breed surpass their peers of the original parent breeds by 15–20% in live weight at the weaning period. To characterize the genetic structure of Baisary sheep and compare it with the ancestral breeds, we genotyped 247 individuals from five sheep breeds with Ovine SNP50K. The estimated private allelic richness ranged from 0.0030 to 0.0047, with the minimum and maximum provided by the Gissar (Giss1) and Kazakh meat-wool breeds, respectively. The highest and lowest F_IS values, meanwhile, were observed in the Afghan fat-tailed population and Baisary sheep, respectively. The calculated inbreeding coefficient showed that Edilbay and Baisary sheep have excess heterozygosity. According to principal components analysis, Baisary are close to Gissar populations, the Afghan fat-tailed breed and Edilbay sheep. These results were consistent with the Admixture and phylogenetic analysis. Overall, our results indicated that Baisary sheep differ genetically from their progenitors.

Runs of homozygosity (ROH) are contiguous stretches of homozygous genotypes that are passed from parents to their offspring. ROHs are suitable for determining population history, inbreeding rates, and the genetic relationships between individuals in the populations, as well as to detect candidate genes responsible for economic traits in farm animals. In this study, we observed that the Kazakh white-headed (KWh) cattle breed (ROH n = 55,976) had a higher number of ROH compared to the Auliekol (AK) breed (ROH n = 13,137). When calculating the mean length of ROH, there were considerable differences between Kazakh white-headed (211.59 ± 92.98 Mb) and Auliekol (99.62 ± 46.48 Mb) populations. The maximum length of ROH was higher in Auliekol cattle (510.25 Mb) than in Kazakh white-headed cattle (498.91 Mb). The average inbreeding coefficient rate was equal to 0.084 ± 0.037 in Kazakh white-headed cattle and 0.039 ± 0.018 in Auliekol cattle. The high frequency of genomic regions showed that the strongest patterns were observed on chromosomes 2, 6, and 26 for KWh and 1, 5, and 14 for AK. The estimation of ROH numbers per animal showed that the number of ROH decreased with increasing ROH length in both populations. The genomic inbreeding coefficient of both cattle breeds was calculated based on the ROH, and ancient inbreeding was observed. The harbored genes within ROH islands were associated with meat growth and milk production.

Camel farming is gaining scientific interest due to its unique agricultural characteristics. Camels are versatile for milk and meat production, wool, racing, transport, and tourism. To use their full potential, it is essential to improve our understanding of the genetic structure of these animals. One-humped and two-humped camels have received detailed genetic descriptions, while there is no such information for their hybrids, which outperform their parent species in several agricultural characteristics. Thus, in this study, for the first time, the whole genome sequencing data (WGS) of five hybrid camels bred in the Almaty region of Kazakhstan are presented in comparison with the WGS data of one-humped, two-humped, and wild camels. A total of 43,552,164 single-nucleotide polymorphisms were found across the studied groups. Further comparison of these SNPs showed the following number of private SNPs among the populations: hybrid camels (3,271,083), wild camels (2,515,591), Bactrians (1,244,694), and dromedaries (531,224). The genetic structure of the studied animals was described, and a phylogenetic tree was built to assess their genetic distance. It was found that the studied hybrids are genetically closer to dromedaries since they were on the close branch of the phylogenetic tree.