Characteristics by str Markers of gray Ukrainian Cattle Breed in the Russian Federation

Capa

Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

Using 14 microsatellite markers (BM1824, BM2113, CSRM60, CSSM66, ETH3, ETH10, ETH225, ILSTS006, INRA023, SPS115, TGLA53, TGLA122, TGLA126, TGLA227), samples of Ukrainian Grey cattle herds of the M.F. Ivanov Institute “Askania-Nova” (Kherson region) (n = 101) and experimental farm of Cherga (Altai Republic) (n = 41). When considering Wright's F-statistics for the studied loci, the value FIS = –0.0285 indicates an excess of heterozygous genotypes in the population of Ukrainian Grey cattle, with a low probability of encountering alleles of the common ancestor FIT = 0.1161, and the level FST = 0.1394 indicates an average divergence of subpopulations, the largest contribution to which is contributed by the Eth3 locus. At the same time, the number of detected polymorphic loci – 95.64%, the level of allelic diversity – AR = 7.66 and genetic diversity – HE = 0.76 were higher in the Altai subpopulation than in the Kherson subpopulation – 58.13%, 4.41, 0.61, respectively. At the same time, the Kherson herd was characterized by better evenness, homogeneity and consolidation, which allows us to consider it as a source of valuable breeding material for breeding the Ukrainian Grey breed.

Texto integral

Acesso é fechado

Sobre autores

A. Mokeev

Ivanov Institute of Livestock Husbandry of Steppe Regions “Askania-Nova” – National Scientific Selection and Genetic Center for Sheep Breeding of the National Academy of Agrarian Sciences

Autor responsável pela correspondência
Email: mokeev.as@mail.ru
Rússia, Askania-Nova, 275230

N. Fursa

Ivanov Institute of Livestock Husbandry of Steppe Regions “Askania-Nova” – National Scientific Selection and Genetic Center for Sheep Breeding of the National Academy of Agrarian Sciences

Email: mokeev.as@mail.ru
Rússia, Askania-Nova, 275230

S. Beketov

Vavilov Institute of General Genetics of Russian Academy of Sciences

Email: svbeketov@gmail.com
Rússia, Moscow, 119991

G. Svishcheva

Vavilov Institute of General Genetics of Russian Academy of Sciences

Email: svbeketov@gmail.com
Rússia, Moscow, 119991

A. Onokhov

Vavilov Institute of General Genetics of Russian Academy of Sciences

Email: svbeketov@gmail.com
Rússia, Moscow, 119991

Yu. Stolpovsky

Vavilov Institute of General Genetics of Russian Academy of Sciences

Email: svbeketov@gmail.com
Rússia, Moscow, 119991

Bibliografia

  1. Столповский Ю.А. Серая украинская порода // Генетические ресурсы крупного рогатого скота: редкие и исчезающие отечественные породы. М.: Наука, 1993. С. 94–111.
  2. Glazko V.I. Podolic сattle in the Ukraine and eastern territories // Stočarstvo: Časopis za unapređenje stočarstva. 2001. V. 55. № 1. Р. 33–60.
  3. The state of the world’s animal genetic resources for food and agriculture. Rome, FAO, 2007. 511 р.
  4. Ukrainian grey/Ukraine (cattle). Domestic animal diversity information system of the food and agriculture organization of the United Nations. Accessed April 2023. https://www.fao.org/dad-is/browse-by-country-and-species/en/
  5. Dakin E.E., Avise J.C. Microsatellite null alleles in parentage analysis // Heredity. 2004. V. 93. P. 504–509. doi: 10.1038/sj.hdy.6800545
  6. Olschewsky А., Hinrichs D. An overview of the use of genotyping techniques for assessing genetic diversity in local farm animal breeds // Animals. 2021. V. 11. № 7. P. 2016. https://www.mdpi.com. doi: 10.3390/ani11072016
  7. Бекетов С.В., Семина М.Т., Мокеев А.С. и др. Перспективы применения технологии “генетического биркования” в животноводстве // Главный зоотехник. 2024. № 5. С. 3–15.
  8. Jombart T. Adegenet: A R package for the multivariate analysis of genetic markers // Bioinformatics. 2008. V. 24. P. 1403–1405. doi: 10.1093/bioinformatics/btn129
  9. Keenan K., McGinnity P., Cross T.F. et al. diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors // Methods Ecol. and Evol. 2013. № 4. P. 782–788. doi: 10.1111/2041-210X.12067
  10. Adamack A.T., Gruber B. PopGenReport: Simplifying basic population genetic analyses in R. Methods // Ecology and Evolution. 2014. № 5. P. 384–387. doi: 10.1111/2041-210X.12158
  11. Gruber B., Adamack A.T. landgenreport: A new R function to simplify landscape genetic analysis using resistance surface layers // Mol. Ecol. Resources. 2015. V. 15. P. 1172–1178. doi: 10.1111/1755-0998.12381
  12. Кушнир А.В., Глазко В.И. Серый украинский скот и его близкородственные формы // Сиб. экол. журнал. 2009. Т. 16. № 3. С. 495–506.
  13. Копылов К.В., Стародуб Л.Ф., Мохначева Н.Б., Супрович Н.П. Особенности изменчивости генома крупного рогатого скота серой украинской породы по цито- и ДНК-маркерам // Акт. пробл. интенсивного развития животноводства. 2019. Вып. 1. С. 60–69.
  14. Holsinger K.E. Lecture notes in population genetics. Stanford: University of Connecticut, 2010. 275 p. doi: 10.6084/M9.FIGSHARE.100687
  15. Кузнецов В.М. F-статистики Райта: оценка и интерпретация // Пробл. биол. продуктивных животных. 2014. № 4. С. 80–104.
  16. Кузнецов В.М. Снижает ли кроссбридинг генетическое разнообразие? Разведение и сохранение пород молочного скота в России. Киров: НИИСХ Северо-Востока, 2017. 104 с.
  17. Кузнецов В.М. Сравнение методов оценки генетической дифференциации популяций по микросателлитным маркерам // Зоотехния. 2020. Т. 21. № 2. С. 169–182. doi: 10.30766/2072-9081.2020.21.2.169-182
  18. Гузеев Ю.В., Мельник О.В., Спиридонов В.Г., Мельничук С.Д. Сравнительный анализ генетической структуры микропопуляции серой украинской породы крупного рогатого скота по ДНК-маркерам // Науковий вісник ЛНУВМБТ імені С. З. Ґжицького. 2015. Т. 17. № 3(63). С. 166–171.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
2. Fig. 1. Gray Ukrainian cattle (cows).

Baixar (288KB)
3. Fig. 2. Gray Ukrainian cattle (bull).

Baixar (231KB)
4. Fig. 3. NJ-dendrogram of relationships between the studied subpopulations of gray Ukrainian cattle, constructed on the basis of pairwise genetic distances DA Nei. The Askanian subpopulation is shown in blue, the Altai subpopulation in red.

Baixar (753KB)
5. Fig. 4. Projection of individuals of the studied subpopulations of gray Ukrainian cattle on the plane of two coordinates according to PCA analysis data.

Baixar (80KB)

Declaração de direitos autorais © Russian Academy of Sciences, 2024