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The linkage of polymorphic variants of genes GH, PRL, PIT-1 and milk productivity of cows with morphology of cumulus-oocyte complex, sampled post mortem
SUMMARY. In recent years the aim of dairy cattle breeding was to increase milk production traits. At the same time, there is observed decrease of fertility traits of cows, and as a result, early culling of animals. This fact may be explained by an almost impossibility to determine the reasons of aggravated reproduction, and the difficulty of estimating them. One of the causes of a decrease in the fertility of cows is the decline in the quality of oocytes, capable of fertilization. Therefore, the study of the ratio between the number and quality of oocytes, capable of fertilization, and the level of milk productivity of cows, as well as the connection with polymorphic variants of the GH, PRL, and Pit-1 genes, is of scientific interest. The aim of our work was to determine the dependence of the quality and quantity of postmortem cow oocytes on the level of milk productivity and genetic profile for the genes GH, PRL and Pit-1. There was a high incidence of allele L of the GH gene – 0,942, allele A of the PRL gene – 0,889 and allele B of the Pit-1 gene – 0,710. The data obtained showed that a high yield of COC on average per ovary was obtained in a group of animals with the LL genotype of the GH gene (LL to LV +7,54 pcs, p ≤ 0,05), along with a significant amount of viable (LL to LV +4,5 pcs, p ≤ 0,05). In individuals with the AA genotype of the PRL gene, the number of isolated viable COCs on average per ovary was higher compared to those with the AB genotype (+4,84 pcs, p ≤ 0,05). An analysis of the association of polymorphic variants of the Pit-1 gene with the quantity and quality of COC did not reveal significant differences in the studied group of individuals. The assessment of the relationship of polymorphic variants of the studied genes with the indicators of breeding value (BV) yield, fat and protein showed that only animals with the LV genotype exceeded their peers with the LL genotype of the GH gene in milk fat and protein output by 8,3 kg (p ≤ 0,05) and 6,0 kg (p ≤ 0,01), respectively. For the remaining SNP of the analyzed genes, no significant differences were obtained.
Key words: Dairy cattle, milk yield, GH gene, PRL gene, Pit-1 gene, cumulus-oocyte complex, oocytes morphology
E-mail: pozovnikova gmail.com, valevskaya bk, kudinov_aa list.ru, dementevan mail.ru
1. Jonas, E. and Koning, D.J., Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs, Front. Genet., 2015, vol. 6, p. 49. https://doi.org/10.3389/fgene.2015.00049
2. LeBlanc, S., Assessing the association of the level of milk production with reproductive performance in dairy cattle, Reprod. Develop., 2010, vol. 56, no. S, pp. S1–S7. https://doi.org/10.1262/jrd.1056S01
3. Yakovlev, A.F. and Plemjashov, K.V., Molecular markers in the increase of dairy cattle reproduction, Anim. Genet. Breed., 2017, no. 4, pp. 3–11.
4. Yudin, N.S. and Voevoda, M.I., Molecular genetic markers of economically important traits in dairy cattle, Russ. J. Genet., 2015, vol. 51, no. 5, pp. 600–612. https://doi.org/10.7868/S0016675815050082
5. Grin, N., Staut, U., and Taylor, D., Biologiya, Moscow, 1990.
6. Shimizu, T., Murayama, C, Sudo, N., Kawashima, C, Tetsuka, M., and Miyamoto, A., Involvement of insulin and growth hormone (GH) during follicular development in the bovine ovary, Anim. Reprod. Sci., 2008, vol. 106, nos. 1–2, pp. 143–152. https://doi.org/10.1016/j.anireprosci.2007.04.005
7. Ola, S.I., Ai, J.S., and Liu, J.H., Effects of gonadotropins, growth hormone, and activin on enzymatically isolated follicle growth, oocyte chromatin organization, and steroid secretion, Mol. Reprod. Dev., 2008, vol. 75, pp. 89–96. https://doi.org/10.1002/mrd.20762
8. McNeilly, A.S., Glasier, A., Jonassen, J., and Howie, P.W., Evidence for direct inhibition of ovarian function by prolactin, Reprod. Fert. Dev., 1982, vol. 65, no. 2, pp. 559–569. https://doi.org/10.1530/jrf.0.0650559
9. Khatib, H., Huang, W., and Wang, X., Single gene and gene interaction effects on fertilization and embryonic survival rates in cattle, Dairy Sci., 2009, vol. 92, no. 5, pp. 2238–2247. https://doi.org/10.3168/jds
10. Lonergan, P., Fair, T., Forde, N., and Rizos, D., Embryo development in dairy cattle, Theriogenology, 2016, vol. 86, no. 1, pp. 270–277. https://doi.org/10.1016/j.theriogenology.2016.04.040
11. Moore, S.G., Cummins, S.B., Mamo, S., Lonergan, P., Fair, T., and Butler, S.T., Genetic merit for fertility traits in Holstein cows: VI. Oocyte developmental competence and embryo development, J. Dairy Sci., 2019, vol. 102, no. 5, pp. 4651–4661.https://doi.org/10.3168/jds.2018-15813
12. Schlee, P., Graml, R., and Schallemberger, E., Growth hormone and insulin-like growth factor-I concentrations in bulls of various growth hormone genotypes, Theor. Appl. Genet., 1994, vol. 88, nos. 3–4, pp. 497–500. https://doi.org/10.1007/BF00223667
13. Mitra, A., Schelee, P., and Balakrishnan, C.R., Polymorphisms at growth-hormone and prolactin loci in Indian cattle and Buffalo, J. Anim. Breed. Genet., 1995, vol. 112, no. 1–6, pp. 71–74. https://doi.org/10.1111/j.1439-0388.1995.tb00543.x
14. Woollard, J., Schmitz, C.B., and Freeman, A.E., Rapid communication: HinfI polymorphism at the bovine Pit-1 locus, Anim. Sci., 1994, vol. 72, no. 12, p. 3267.
15. Kudinov, A., Juga, J., Mäntysaari, E.A., Stranden, I., Saksa, E.I., Smaragdov, M.G., and Uimari, P., Developing a genetic evaluation system for milk traits in Russian black and white dairy cattle, Agric. Food Sci., 2018, vol. 27, pp. 85–95.https://doi.org/10.23986/afsci.69772
16. MiX99 Development Team (2015). MiX99: A software package for solving large mixed model equations. Release VIII/2015. Natural Resources Institute Finland (Luke), Jokioinen, Finland. URL: http://www.luke.fi/mix99
17. RStudio Team. RStudio: Integrated Development for R. RStudio, Inc., Boston, MA. 2015. https://www. rstudio.com/. Accessed July 27, 2018.
18. Merkur’eva, E.K., Genetic Basics of Breeding in Cattle-Breeding, Moscow, 1977.
19. Letkevitch, L.L., Gandzha, A.I., Kostikova, I.V., and Rakovitch, E.D., Condition of oocyte–cumuli complexes of culled cows and their in vitro fertilization ability, Zootechn. Sci. Belarus, 2008, vol. 43, no. 1, pp. 81–87.
20. Xiang, R., MacLeod, I.M., Bolormaa, S., and Goddard, M.E., Genome-wide comparative analyses of correlated and uncorrelated phenotypes identify major pleiotropic variants in dairy cattle, Sci. Rep., 2017, vol. 7, no. 1, p. 9248. https://doi.org/10.1038/s41598-017-09788-9
21. Metin Kiyici, J., Arslan, K., Akyuz, B., Kaliber, M., Aksel, E.G., and Cinar, M.U., Relationships between polymorphisms of growth hormone, leptin and myogenic factor 5 genes with some milk yield traits in Holstein dairy cows, Int. J. Dairy Technol., 2018, vol. 8, pp. 1–7. https://doi.org/10.1111/1471-0307.12539
22. Pozovnikova, M.V., Serdjuk, G.N., Pogorelskiy, I.A., and Tulinova, O.V., Genetic structure of milk cows in relation to DNA-markers and influence of their genotypes on lactation performance, Dairy Beef Cattle Breed., 2016, no. 2, pp. 8–13.
23. Pozovnikova, M.V. and Serdjuk, G.N., The relationship of gene polymorphism of Pit-1 with the productive characteristics of holsteinized black-motley cattle, Anim. Genet. Breed., 2017, no. 4, pp. 37–41.
24. Balogh, O., Szepes, O., Kovacs, K., Kulcsar, M., Reiczigel, J., Alcazar, J.A., Keresztes, M., Febel, H., Bartyik, J., Fekete, S.G., Fesus, L., and Huszenicza, G., Interrelationships of growth hormone AluI polymorphism, insulin resistance, milk production and reproductive performance in Holstein–Friesian cows, Vet. Med., 2008, vol. 53, no. 11, pp. 604–616.
25. Baruselli, P.S., Vieira, L.M., SaFilho, M.F., Mingoti, R.D., Ferreira, R.M., Chiaratti, M.R., Oliveira, L.H., Sales, J.N., and Sartori, R., Associations of insulin resistance later in lactation on fertility of dairy cows, Theriogenology, 2016, vol. 86, pp. 263–269.https://doi.org/10.1016/j.theriogenology.2016.04.039
26. Rachkova, E.N., Associations of genes associated with dairy productivity’s and resistance to mastitis in cattle, Cand. Sci. (Biol.) Dissertation, Kazan, 2017.
27. Yasemin, Ö.N.E.R., Yilmaz, O., Hayrettin, O.K.U.T., Nezih, A.T.A., Yilmazbaş-Mecitoğlu, G., and Keskin A., Associations between GH, PRL, STAT5A, OPN, PIT-1, LEP and FGF2 polymorphisms and fertility in Holstein-Friesian heifers, Kafkas Universitesi Veteriner Fakultesi Dergisi, 2017, vol. 23, no. 4, pp. 527–534. https://doi.org/10.9775/kvfd.2016.17192
28. Grossi, D., Buzanskas, M.E., Grupioni, N.V., de Paz, C.C.P., de Almeida Regitano, L.C., de Alencar, M.M., and Munari, D.P., Effect of IGF1, GH, and PIT1 markers on the genetic parameters of growth and reproduction traits in Canchim cattle, Mol. Biol. Rep., 2015, vol. 42, no. 1, pp. 245–251. https://doi.org/10.1007/s11033-014-3767-4
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