Abstract
The aim of this study was to conduct a phenotypic characterization and study the genetic diversity of three populations of Kyrgyz Mountain Merino sheep in the state breeding farms named after M.N. Lushchikhin, Orgochor and Katta-Taldyk. Studies of populations within one breed using microsatellite markers allow us to assess their genetic diversity, family relationships and prospects for their use to improve the breed. Genotyping for 12 microsatellite markers showed the best diversity indices, including the average observed (Na) and effective (Ne) number of alleles, as well as the observed (HO) and expected heterozygosity (He). Thus, the results of this study can serve for their further use in selection and breeding programs to improve and preserve the genetic diversity of the domestic fine-wool sheep breed Kyrgyz Mountain Merino
Keywords
References
[1] Aboul Naga, A.M., Abdel Khalek, T.M., Mona Osman, A.R., Elbeltagy, E.S., Abdel-Aal, M., Abou-Ammo, F.F., & El-Shafie, M.H. (2021). Physiological and genetic adaptation of desert sheep and goats to heat stress in the arid areas of Egypt. Small Ruminant Research, 203, article number 106499. doi: 10.1016/j.smallrumres.2021.106499.
[2] Aitnazarov, R.B., Mishakova, T.M., & Yudin, N.S. (2021). Assessment of genetic diversity and phylogenetic relationships of Black-and-White cattle in the Novosibirsk region using microsatellite markers. Vavilov Journal of Genetics and Breeding, 25(8), 831-838. doi: 10.18699/VJ21.096.
[3] Bekturov, A.B., Chortonbaev, T.D., Lushchikhina, E.M., & Chebodaev, D.V. (2019). New breeding achievement in fine-fleece sheep breeding in Kyrgyzstan. Proceedings of the Orenburg State Agrarian University, 78, 221-223.
[4] Gootwine, E. (2020). Invited review: Opportunities for genetic improvement toward higher prolificacy in sheep. Small Ruminant Research, 186, article number 106090. doi: 10.1016/j.smallrumres.2020.106090.
[5] Excoffier, L. (1992). Analysis of molecular variance inferred from metric distances among DNA haplotypes: Application to human mitochondrial DNA restriction data. Genetics, 131, 479-491. doi: 10.1093/genetics/131.2.479.
[6] State Program "Sustainable Development of Animal Husbandry in the Kyrgyz Republic for 2024-2028". (n.d.). Retrieved from https://agro.gov.kg/ru/10731/.
[7] Hale, M.L., Burg, T.M., & Steeves, T.E. (2012). Sampling for microsatellite-based population genetic studies: 25 to 30 individuals per population is enough to accurately estimate allele frequencies. PLoS ONE, 7(9), article number e45170. doi: 10.1371/journal.pone.0045170.
[8] Hammer, Ø., Harper, D.A.T., & Ryan, P.D. (2001). Past: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica, 4, 1-9.
[9] Hoban, S., Archer, F.I., Bertola, L.D., Bragg, J.G., Breed, M.F., Bruford, M.W., & Vernesi, C. (2022). Global genetic diversity status and trends: Towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition. Biological Reviews, 97(4), 1511-1538. doi: 10.1111/brv.12852.
[10] International Society for Animal Genetics (ISAG). (n.d.). Retrieved from https://www.isag.us/.
[11] Krivoruchko, A.Yu., et al. (2024). Use of microsatellite loci for genetic identification of wool-producing sheep in the Stavropol Krai. Animal Husbandry and Feed Production, 107(2), 71-84. doi: 10.33284/2658-3135-107-2-71.
[12] Lakin, G.F. (1990). Biometry. Moscow: Vysshaya Shkola.
[13] Marina, H., Pelayo, R., Suárez-Vega, A., Gutiérrez-Gil, B., Esteban-Blanco, C., & Arranz, J.J. (2021). Genome-wide association studies (GWAS) and post-GWAS analyses for technological traits in Assaf and Churra dairy breeds. Journal of Dairy Science, 104, 11908-11925. doi: 10.3168/jds.2021-20510.
[14] OOO "GORDIZ". (n.d.). Retrieved from https://gordiz.ru/.
[15] Peakall, R., & Smouse, P.E. (2012). GenAlEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research – An update. Bioinformatics, 28, 2537-2539. doi: 10.1093/bioinformatics/bts460.
[16] Pritchard, J.K., Stephens, M., & Donnelly, P. (2000). Inference of population structure using multilocus genotype data. Genetics, 155(2), 945-959. doi: 10.1093/genetics/155.2.945.
[17] Saravanan, K.A., Panigrahi, M., Kumar, H., Bhushan, B., Dutt, T., & Mishra, B.P. (2021). Genome-wide analysis of genetic diversity and selection signatures in three Indian sheep breeds. Livestock Science, 243, article number 104367. doi: 10.1016/j.livsci.2020.104367.
[18] Selionova, M.I., Lushchikhina, E.M., & Chizhova, L.N. (2018). Features of the microsatellite profile of sheep bred in the conditions of Kyrgyzstan. Agricultural Journal, 11, 84-90. doi: 10.25930/0372-3054-2018-1-11-84-90.
[19] Sheikh, F.A., Arnav, M., Sona, C., & Nazir, A.G. (2021). Analysis of selection signatures reveals important insights into the adaptability of high-altitude Indian sheep breed Changthangi. Gene, 799, article number 145809. doi: 10.1016/j.gene.2021.145809.
[20] Sudarshan, M., Samita, S., Arun, K., Sharma, R.C., & Gowane, G.R. (2020). Genotype × environment interaction affects sire ranking for live weights in Avikalin sheep. Small Ruminant Research, 186, article number 106092. doi: 10.1016/j.smallrumres.2020.106092.
[21] Timoshenko, N.K., et al. (2019). On certification and quality of wool. Sheep, Goats, Wool Production, 1, 28-31.
[22] Velado-Alonso, E., Gómez-Sal, A., Bernués, A., & Martín-Collado, D. (2021). Disentangling the multidimensional relationship between livestock breeds and ecosystem services. Animals, 11(9), article number 2548. doi: 10.3390/ani11092548.
[23] Yakovenko, A.M., Antonenko, T.I., & Selionova, M.I. (2013). Biometric methods for analyzing qualitative and quantitative traits in zootechny. Stavropol: Agrus.