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Polymorphism of microsatellite loci of yaroslavl cattle in herds of various breeding values

https://doi.org/10.31677/2072-6724-2024-73-4-198-206

Abstract

The paper presents the results of studying the polymorphism of microsattellite loci of Yaroslavl cattle in breeding herds of the Yaroslavl region. 115 alleles with different frequency of occurrence were identified for 15 microsatellite DNA loci. From 5 to 11 alleles were identified in each of the studied loci. The average number of alleles per locus was 6.41, the number of effective alleles was 3.58. The highest incidence (0.75) in the entire population was found in locus SPS115 with allele 248, its distribution ranged from 0.72 to 0.83 across farms. For the SPS115 locus, the rare alleles are 252, 254 and 256. 6 alleles were identified at the BM1818 locus. Allele 266 has the highest frequency of occurrence in all the studied herds, and alleles 262, 264 and 270 are present in sufficient numbers. The allele 182 has the highest frequency of occurrence in herds at the BM1824 locus (from 0.46 to 0.64), with an average of 0.51 in the sample. Rare alleles have been identified, which are present only in individual herds with a frequency of occurrence from 0.01 to 0.02. The average number of observed heterozygosity was 0.71, and the expected one was 0.60% less than the observed one. The study found that the first hard the heifers had the highest yield (6871 kg, p < 0.001), rare alleles were identified in this herd – 179 at the CSSM66 locus and 268 at the BM1818 locus. The largest number of alleles, which are not present in other herds, was revealed in the breeding herd III. The higher fat content was obtained from the first heifers of this herd – 4.36% and the higher protein content – 3.45%.The fixation index in all the studied herds was negative (-0.019), which indicates an excess of heterozygotes. The obtained data will allow controlling the level of homozygosity in herds, and taking into account the allelic polymorphism of the breeding stock when fixing bulls of producers to obtain breeding offspring and in custom mating.

 

About the Authors

A. V. Ilyina
Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production
Russian Federation

PhD in Agricultural Sciences, Leading Researcher

Yaroslavl



M. V. Abramova
Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production
Russian Federation

PhD in Agricultural Sciences, Leading Researcher

Yaroslavl



S. V. Zyryanova
Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production
Russian Federation

Senior Researcher

Yaroslavl



E. G. Evdokimov
Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production
Russian Federation

Senior Researcher

Yaroslavl



Yu. V. Mushtukova
Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production
Russian Federation

Senior Researcher

Yaroslavl



N. V. Pridannikova
Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production
Russian Federation

Research Associate

Yaroslavl



A. V. Konovalov
Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production
Russian Federation

Doctor of Agricultural Sciences, Associate Professor, Director

Yaroslavl



References

1. Kosyachenko N.M., Abramova M.V., Il`ina A.V., Zy`ryanova S.V., Konovalov A.V, Kosourova T.N., Golshtinskaya poroda v sozdanii uluchshenny`x genotipov i vnutriporodny`x tipov krupnogo rogatogo skota (The Holstein breed in the creation of improved genotypes and intrabreed types of cattle), Yaroslavl`: OOO «Kanczler», 2020, 157 р.

2. Xromova O.L., Abramova N.I., Selimyan M.O., Zenkova N.V., Vestnik NGAU (Novosibirskij gosudarstvenny`j agrarny`j universitet), 2024, No. 2, pp. 270–280, DOI: 10.31677/2072-6724-2024-71-2-270-280. (In Russ.)

3. Rozhenczov A.L., Vestnik NGAU (Novosibirskij gosudarstvenny`j agrarny`j universitet), 2020, No. 2, pp. 97–105, DOI: 10.31677/2072-6724-2020-55-2-97-105. (In Russ.)

4. Zyryanova S.V., Abramova M.V., Agrarny`j nauchny`j zhurnal, 2023, No. 11, pp. 144–147, DOI: 10.28983/asj.y2023i11pp144-147. (In Russ.)

5. Solodneva E., Svishcheva G., Smolnikov R. [et al.], Genetic Structure Analysis of 155 Transboundary and Local Populations of Cattle (Bos taurus, Bos indicus and Bos grunniens) Based on STR Markers, Int J Mol Sci, 2023, Vol. 24, No. 5, pp. 5061, Doi: 10.3390/ijms24055061.

6. Nasambaev E.G., Bejshova I.S., Ul`yanova T.V., Chernyaeva S.A., Nauka i obrazovanie, 2023, No. 2–1 (71), pp. 74– 82, DOI: 10.52578/2305-9397-2023-2-1-74-82. (In Russ.)

7. Volkova V.V., Romanenkova O.S., Deniskova T.E. [i dr.], Molochnoe i myasnoe skotovodstvo, 2019, No. 7, pp. 3-7. (In Russ.)

8. Stolpovskij Yu.A., Beketov S.V., Solodneva E.V. [i dr.], Sel`skoxozyajstvennaya biologiya, 2021, Vol. 56, No. 6, pp. 1123–1133, DOI: 10.15389/agrobiology.2021.6.1123rus. (In Russ.)

9. Volkova V.V., Abdelmanova A.S., Deniskova T.E. [et al.], Investigation of the Genetic Diversity of Dagestan Mountain Cattle Using STR-Markers, Diversity, 2022, Vol. 14, No. 7, pp. 569, DOI: 10.3390/d14070569.

10. Tapsoba A., Sawadogo S., Yougbaré B. [et al.], Genetic Diversity and Population Structure of Taurine Cattle Using STR Markers in Burkina Faso, West Africa, Tropical Animal Science Journal, 2024, No. 47, pp. 131–140. 10.5398/tasj.2024.47.2.131.6.

11. Li Y., Liu L., Zunongjiang A. [et al.], Analysis of the relationship between short tandem repeats and lactation performance of Xinjiang Holstein cows, Trop Anim Health Prod, 2023, Vol. 55, No. 4, pp. 238, DOI: 10.1007/s11250-023-03651-y.

12. Peakall R.O.D., Smouse P.E., GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research, Molecular ecology notes, 2006, Vol. 6, No. 1, pp. 288–295.

13. Chasovshhikova M.A., Izvestiya Orenburgskogo gosudarstvennogo agrarnogo universiteta, 2019, No. 2 (76), pp. 191–193. (In Russ.)

14. Chasovshhikova M.A., Vestnik Buryatskoj gosudarstvennoj sel`skoxozyajstvennoj akademii im. V.R. Filippova, 2021, No. 1 (62), pp. 64–69, DOI: 10.34655/bgsha.2021.62.1.009. (In Russ.)

15. Nikolaev S.V., Agrarny`j nauchny`j zhurnal, 2021, No. 9, pp. 67–70, DOI: 10.28983/asj.y2021i9pp67-70. (In Russ.)

16. Kayumov F.G., Tret`yakova R.F., Izvestiya Orenburgskogo gosudarstvennogo agrarnogo universiteta, 2023, No. 4 (102), pp. 261–265, DOI: 10.37670/2073-0853-2023-102-4-261-265. (In Russ.)

17. Slepczov I.I., Dodoxov V.V., Pavlova N.I., Kayumov F.G., Zhivotnovodstvo i kormoproizvodstvo, 2019, Vol. 102, No. 2, pp. 60–67, DOI: 10.33284/2658-3135-102-2-60. (In Russ.)


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For citations:


Ilyina A.V., Abramova M.V., Zyryanova S.V., Evdokimov E.G., Mushtukova Yu.V., Pridannikova N.V., Konovalov A.V. Polymorphism of microsatellite loci of yaroslavl cattle in herds of various breeding values. Bulletin of NSAU (Novosibirsk State Agrarian University). 2024;(4):198-206. (In Russ.) https://doi.org/10.31677/2072-6724-2024-73-4-198-206

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