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The Linkage of Polymorphic Variants of Genes Gh, Prl, and Pit-1 and Milk Productivity of Cows with Morphology of Cumulus-Oocyte Complex Sampled Post Mortem

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Abstract

In recent years, the aim of dairy cattle breeding was to increase milk productivity traits. However, there is an observed decrease of fertility traits of cows, and, as a result, early culling of animals. This is due to the fact that causes of decreased reproduction are sometimes impossible to determine and its signs are difficult to estimate. One of the causes for decreasing fertility of cows is the decline in the quality of oocytes capable of fertilization. Therefore, a study into the ratio between the number and quality of oocytes capable of fertilization and the level of milk productivity in cows, as well as association with polymorphic variants of the GH, PRL, and Pit-1 genes, is of scientific interest. The aim of this study was to determine the dependence of the quality and quantity of cow COC obtained post mortem on the level of milk productivity and genetic profile for the genes GH, PRL, and Pit-1. There was high frequency 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. High average content of COC per ovary was obtained in a group of animals with LL genotype of the GH gene (LL to LV +7.54 units, p ≤ 0.05), and a significant portion of them were viable (LL to LV +4.5 units, p ≤ 0.05). In individuals with the AA genotype of the PRL gene, the average number of isolated viable COC per ovary was higher than in those with the AB genotype (+4.84 units, p ≤ 0.05). 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. Assessment for the relationship of polymorphic variants of the studied genes with the breeding value (BV) indices of milk productivity, milk fat, and protein content showed that only animals with the LV genotype exceeded their peers with the LL genotype of the GH gene in milk fat and protein content by 8.3 kg (p ≤ 0.05) and 6.0 kg (p ≤ 0.01), respectively. Average calculated breeding value based on quantity of COC of individuals in the studied groups revealed no significant difference.

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REFERENCES

  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

    Article  PubMed  PubMed Central  Google Scholar 

  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

    Article  CAS  Google Scholar 

  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

    Article  CAS  PubMed  Google Scholar 

  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

    Article  CAS  PubMed  Google Scholar 

  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

    Article  CAS  Google Scholar 

  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

    Article  CAS  Google Scholar 

  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

    Article  CAS  PubMed  Google Scholar 

  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

    Article  CAS  PubMed  Google Scholar 

  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

    Article  CAS  PubMed  Google Scholar 

  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

    Article  Google Scholar 

  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.

    Article  CAS  Google Scholar 

  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

    Article  Google Scholar 

  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.

    Google Scholar 

  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.

    Google Scholar 

  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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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

    Article  CAS  Google Scholar 

  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.

    Article  CAS  Google Scholar 

  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

    Article  CAS  PubMed  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  CAS  Google Scholar 

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Funding

The study was conducted in accordance with the topic of the Ministry of Education and Science of the Russian Federation, state registration number AAAA-A18-118021590138-1.

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Authors and Affiliations

  1. Russian Research Institute for Farm Animal Genetics and Breeding, Ernst Branch of Federal Science Center for Animal Husbandry, pos. Tyarlevo, 196625, St. Petersburg-Pushkin, Russia

    M. V. Pozovnikova, A. A. Kudinov & N. V. Dementieva

  2. St. Petersburg State Agrarian University, 196601, St. Petersburg-Pushkin, Russia

    L. N. Rotar

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  1. M. V. Pozovnikova
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  2. L. N. Rotar
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  3. A. A. Kudinov
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  4. N. V. Dementieva
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Correspondence to M. V. Pozovnikova, L. N. Rotar, A. A. Kudinov or N. V. Dementieva.

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Translated by A. Lisenkova

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Pozovnikova, M.V., Rotar, L.N., Kudinov, A.A. et al. The Linkage of Polymorphic Variants of Genes Gh, Prl, and Pit-1 and Milk Productivity of Cows with Morphology of Cumulus-Oocyte Complex Sampled Post Mortem. Cytol. Genet. 54, 212–219 (2020). https://doi.org/10.3103/S0095452720030111

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