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Comparative genetic assessment of two populations of reindeer of the Nenets breed of the Ural ecotype

https://doi.org/10.32634/0869-8155-2025-401-12-116-122

Abstract

Relevance. Research in the field of population genetics is one of the main tools for forming a breeding strategy and increasing the economic efficiency of reindeer husbandry.

Methods. The object of the study was the reindeer of the Komi Republic (PSK, n = 100) and the Yamalo-Nenets Autonomous Okrug (Yamalo-Nenets Autonomous Okrug) (YOS, n = 100). Plucks from the auricle and antlers were used for genetic analysis. The genotype of the animals was determined by 16 microsatellite markers using the COrDIS Reindeer multiplex PCR test system. The statistical analysis was performed in the GenAlEx 6.503 program.

Results. The Shannon index indicated high allelic diversity in Rt1 (PSK) and OheQ (PSK, YOS) loci, with minimal diversity in BMS745 and C276. The PSK population was characterized by high observed heterozygosity in Rt9 (0.940) and low in C143 (0.430), while among YamaloNenets Autonomous District animals, the maximum values were in Rt1 and OheQ (0.880), and the minimum values were in C143 and C276 (0.350). Assessment of the fixation index in PSK deer revealed an excess of heterozygosity in Rt9 and Rt6, a deficiency in BMS1788, and in YOS animals there was an excess in T40 and a deficiency in C276. The PSK population had a higher margin of heterozygosity (0.040, р < 0.05) relative to YOS. A comprehensive analysis revealed 7 unique sequences in PSK deer and 4 in YOS. The frequencies of private alleles were 6% and 4%, respectively. The Wright fixation index showed moderate divergence between populations at loci BMS1788, Rt1, C143, C276, and C32, and significant divergence at BMS745. The Gst and Dest scores confirmed these results. Overall, the YOS population turned out to be less genetically diverse compared to the PSK. To reduce the level of inbreeding in the YOS herd, it is necessary to organize the import of producers from other populations. 

About the Authors

S. V. Nikolaev
Federal Research Center “Tyumen Scientific Center of the Siberian Branch of the Russian Academy of Sciences”
Russian Federation

Semyon Viktorovich Nikolaev, Candidate of Veterinary Sciences, Head of the Laboratory of Reindeer Husbandry 

86 Malygin Str., Tyumen, 625026 



A. V. Filatov
Federal Research Center “Tyumen Scientific Center of the Siberian Branch of the Russian Academy of Sciences”
Russian Federation

Andrey Viktorovich Filatov, Doctor of Veterinary Sciences, Research Associate 

86 Malygin Str., Tyumen, 625026 



References

1. Mukhachev A.D., Kharyuchi G.P., Yuzhakov A.A. Nomads throughthe centuries: reindeer herding culture and ethnoecology of theTundra Nenets. Salekhard; Yekaterinburg: Kipyatok Creative Team.2010; 135 (in Russian).ISBN 978-5-904781-05-7https://www.elibrary.ru/qlbivr

2. Yuzhakov A.A., Romanenko T.M., Layshev K.A. New knowledge,methods and models in breeding, ecology and epizootologyof reindeer. Saint Petersburg; Pushkin: Northwest Center forInterdisciplinary Problems of Food Security. 2018; 72 (in Russian).ISBN 978-5-9905152-9-1https://www.elibrary.ru/uxxmiy

3. Ilyina L. et al. Population structure of microbial communities in theRussian Arctic reindeer’s rumen in the winter period according tohigh-throughtput sequencing data. Genetics and breeding of animals.2019; (2): 90–96 (in Russian).https://doi.org/10.31043/2410-2733-2019-2-90-96

4. Laishev K.A., Ilyina L.A., Filippova V.A., Dunyashev T.P., Laptev G.Yu., Abakumov E.V. Rumen bacterial community of young and adultof reindeer (Rangifer tarandus) from Yamalo-Nenets AutonomousDistrict of Russia. Open Agriculture. 2020; 5(1): 10–20.https://doi.org/10.1515/opag-2020-0001

5. Yuzhakov A.A., Mukhachev A.D., Layshev K.A. Breeds and breedingproblems of reindeer in Russia. Moscow: Nauka. 2023; 151 (in Russian).ISBN 978-5-02-040992-7https://www.elibrary.ru/uxnwum

6. Kharzinova V.R., Deniskova T.E., Sermyagin A.A., Dotsev A.V.,Solovyova A.D., Zinovieva N.A. Evolution of the methods for estimationbiodiversity in reindeer (Rangifer tarandus) (review). AgriculturalBiology. 2017; 52(6): 1083–1093.https://doi.org/10.15389/agrobiology.2017.6.1083eng

7. Nikolaev S.V., Matyukov V.S., Filatov A.V. Intrapopulation geneticdifferentiation of reindeer herd of Yamal experimental station. Agrarianscience. 2024; (11): 82–86 (in Russian).https://doi.org/10.32634/0869-8155-2024-388-11-82-86

8. Romanenko T.M., Mityukov A.S. Exterior features of the reindeerof Kolguev Island and the Little Earth tundra in a comparative aspect.Izvestiya Saint-Petersburg State Agrarian University. 2011; 24:113–118 (in Russian).https://www.elibrary.ru/pgfvrf

9. Glazko V.I. Problems of “Marker-assisted breeding (MAS). Farmanimals. 2013; (2): 16–22 (in Russian).https://www.elibrary.ru/qjczmf

10. Smaragdov M.G. Genomic selection as a possible acceleratorof traditional selection. Russian Journal of Genetics. 2009; 45(6):633–636.https://doi.org/10.1134/S1022795409060015

11. Fedorov V.I., Rumyantseva T.D., Robbek N.S., Sleptsov E.S.,Vinokurov N.V. The question of the reindeer of Even breeds adaptationto the mountain taiga zone in the north-east of Russia. Genetics andbreeding of animals. 2018; (1): 115–121 (in Russian).https://doi.org/10.31043/2410-2733-2018-1-115-121

12. Kolosova O.N., Kershengolts B.M. Seasonal changes in thelevel of endogenous ethanol and acetaldehyde in the blood of largeherbivorous mammals of the Аrctic and Subarctic. Arctic andSubarctic Natural Resources. 2022; 27(2): 268–276.https://doi.org/10.31242/2618-9712-2022-27-2-268-276

13. Nikolaev S.V., Matyukov V.S., Filatov A.V. Changes in themicrosatellite profile in an experimental herd of Nenets reindeer.International Journal of Veterinary Medicine. 2023; (3): 275–283(in Russian).https://doi.org/10.52419/issn2072-2419.2023.3.275


Review

For citations:


Nikolaev S.V., Filatov A.V. Comparative genetic assessment of two populations of reindeer of the Nenets breed of the Ural ecotype. Agrarian science. 2025;(12):116-122. (In Russ.) https://doi.org/10.32634/0869-8155-2025-401-12-116-122

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ISSN 0869-8155 (Print)
ISSN 2686-701X (Online)