Asian-Australasian Journal of Animal Sciences

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
권호 표지
DOI QR코드

DOI QR Code

Genetic Contribution of Indigenous Yakutian Cattle to Two Hybrid Populations, Revealed by Microsatellite Variation

  • Li, M.H. (Animal Production Research, MTT Agrifood Research Finland) ;
  • Nogovitsina, E. (Yakut State Agricultural Academy) ;
  • Ivanova, Z. (Yakut State Agricultural Academy) ;
  • Erhardt, G. (Institute for Animal Breeding and Genetics, Justus-Liebig University) ;
  • Vilkki, J. (Animal Production Research, MTT Agrifood Research Finland) ;
  • Popov, R. (Department of Farm Animals and Breeding, Ministry of Agriculture and Resources of Sakha) ;
  • Ammosov, I. (Batagay-Alyta) ;
  • Kiselyova, T. (All-Russian Research Institute for Farm Animal Genetics and Breeding, Department of Biotechnology) ;
  • Kantanen, J. (Animal Production Research, MTT Agrifood Research Finland)
  • Received : 2004.07.17
  • Accepted : 2004.11.19
  • Published : 2005.05.01
Download PDF
⟨ Previous Next ⟩

Abstract

Indigenous Yakutian cattle' adaptation to the hardest subarctic conditions makes them a valuable genetic resource for cattle breeding in the Siberian area. Since early last century, crossbreeding between native Yakutian cattle and imported Simmental and Kholmogory breeds has been widely adopted. In this study, variations at 22 polymorphic microsatellite loci in 5 populations of Yakutian, Kholmogory, Simmental, Yakutian-Kholmogory and Yakutian-Simmental cattle were analysed to estimate the genetic contribution of Yakutian cattle to the two hybrid populations. Three statistical approaches were used: the weighted least-squares (WLS) method which considers all allele frequencies; a recently developed implementation of a Markov chain Monte Carlo (MCMC) method called likelihood-based estimation of admixture (LEA); and a model-based Bayesian admixture analysis method (STRUCTURE). At population-level admixture analyses, the estimate based on the LEA was consistent with that obtained by the WLS method. Both methods showed that the genetic contribution of the indigenous Yakutian cattle in Yakutian-Kholmogory was small (9.6% by the LEA and 14.2% by the WLS method). In the Yakutian-Simmental population, the genetic contribution of the indigenous Yakutian cattle was considerably higher (62.8% by the LEA and 56.9% by the WLS method). Individual-level admixture analyses using STRUCTURE proved to be more informative than the multidimensional scaling analysis (MDSA) based on individual-based genetic distances. Of the 9 Yakutian-Simmental animals studied, 8 showed admixed origin, whereas of the 14 studied Yakutian-Kholmogory animals only 2 showed Yakutian ancestry (>5%). The mean posterior distributions of individual admixture coefficient (q) varied greatly among the samples in both hybrid populations. This study revealed a minor existing contribution of the Yakutian cattle in the Yakutian-Kholmogory hybrid population, but in the Yakutian-Simmental hybrid population, a major genetic contribution of the Yakutian cattle was seen. The results reflect the different crossbreeding patterns used in the development of the two hybrid populations. Additionally, molecular evidence for differences among individual admixture proportions was seen in both hybrid populations, resulting from the stochastic process in crossing over generations.

Keywords

References

  1. Beaumont, M., E. M. Barratt, D. Gottelli, A. C. Kitchener, M. J. Daniels, J. K. Pritchard and M. W. Bruford. 2001. Genetic diversity and introgression in Scottish wildcat. Mol. Ecol. 10:319-336.
  2. Blott, S. C., J. L. Williams and C. S. Haley. 1998. Genetic variation within the Hereford breed of cattle. Anim. Genet. 29:202-211.
  3. Chakraborty, R., M. I. Kamboh, M. Nwankwo and R. E. Ferrell. 1992. Caucasian genes in American blacks: new data. Am. J. Hum. Genet. 50:145-155.
  4. Chikhi, L., M. W. Bruford and M. A. Beaumont. 2001. Estimation of admixture proportions: a likelihood-based approach using Markov chain Monte Carlo. Genetics, 158:1347-1362.
  5. Choisy, M., P. Franc and J.-M. Cornuet. 2004. Estimating admixture proportions with microsatellites: comparison of methods based on simulated data. Mol. Ecol. 13:955-968.
  6. Dmitriez, N. G. and L. K. Ernst. 1989. Animal Genetic Resources of the USSR. FAO Animal Production and Health Paper, Rome, Italy.
  7. Felius, M. 1995. Cattle Breeds: an Encyclopedia. Misset, Doetinchem, The Netherlands.
  8. Guo, S. W. and E. A. Thompson. 1992. Performing the exact test for Hardy-Weinberg proportion for multiple alleles. Biometrics 48:361-372.
  9. Hansen, M. M. 2002. Estimating the long-term effects of stocking domesticated trout into wild brown trout (Salmo trutta) populations: an approach using microsatellite DNA analysis of historical and contemporary samples. Mol. Ecol. 11:1003-1015.
  10. Hansen, M. M., E. E. Nielsen, D. Bekkevold and K-L. D. Mensberg. 2001. Admixture analysis and stocking impact assessment in brown trout (Salmo trutta), estimated with incomplete baseline data. Can. J. Fish. Aquat. Sci. 58:1853-1860.
  11. Ivanova, Z. 1997. The Genofond of the Blood Antigens of Cattle in Yakutia. Russian Academy of Agricultural Sciences Siberian Department, Novosibirsk, Russia (In Russian, abstract in English).
  12. Kumar, P., A. R. Freeman, R. T. Loftus, C. Gaillard, D. Q. Fuller and D. G. Bradley. 2003. Admixture analysis of South Asian cattle. Heredity 91:43-50.
  13. Li, M. H., K. Li and S. H. Zhao. 2004. Diversity of Chinese indigenous goat breeds: a conservation perspective. Asian-Aust. J. Anim. Sci. 17:726-732.
  14. Loader, C. R. 1996. Local likelihood density estimation. Ann. Stat. 24:1602-1618. https://doi.org/10.1214/aos/1032298287
  15. Long, J. C. 1991. The genetic structure of admixed populations. Genetics 127:417-428.
  16. Manel, S., P. Berthier and G. Luikart. 2002. Detecting wildlife poaching: identifying the origin of individuals with Bayesian assignment tests and multilocus genotypes. Conserv. Biol. 16:650-659.
  17. McAllister, A. J. 2002. Is crossbreeding the answer to questions of dairy breed utilization? J. Dairy Sci. 85:2352-2357. https://doi.org/10.3168/jds.S0022-0302(02)74315-4
  18. Nei, M. 1978. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89:583-590.
  19. Nielsen, E. E., M. M. Hansen, D. E. Ruzzante, D. Meldrup and P. GrOnkjaer. 2003. Evidence of a hybrid-zone in Atlantic cod (Gadus morhua) in the Baltic and the Danish Belt Sea revealed by individual admixture analysis. Mol. Ecol. 12:1497-1508.
  20. Parra, E. J., A. Marcini, J. Akey, J. Martinson, M. A. Batzer, R. Cooper, T. Forrester, D. B. Allison, R. Deka, R. E. Ferrell and M. D. Shriver. 1998. Estimating African American admixture proportions by use of population-specific alleles. Am. J. Hum. Genet. 63:1839-1851.
  21. Pierpaoli, M., Z. S. Biro, M. Herrmann, K. Hupe, M. Fernandes, B. Ragni, L. Szemethy and E. Randi. 2003. Genetic distinction of wildcat (Felis silvestris) populations in Europe, and hybridization with domestic cats in Hungary. Mol. Ecol. 12:2585-2598.
  22. Pritchard, J. K., M. Stephens and P. Donnelly. 2000. Inference of population structure using multilocus genotype data. Genetics 155:945-959.
  23. Randi, E., M. Pierpaoli, M. Beaumont, B. Ragni and A. Sforzi. 2001. Genetic identification of wild and domestic cats (Felis silvestris), and their hybrids using Bayesian clustering methods. Mol. Biol. Evol. 18:1679-1693.
  24. Raymond, M. and F. Rousset. 1995. GENEPOP (Version 1.2): population genetics software for exact tests and ecumenicism. J. Hered. 86:248-249.
  25. Selvi, P. K., J. M. Panandam, K. Yusoff and S. G. Tan. 2004. Molecular characterisation of the Mafriwal dairy cattle of Malaysia using microsatellite markers. Asian-Aust. J. Anim. Sci. 17:1366-1368.
  26. Young, F. W. 1996. Vista: the Visual Statistics system. Research memorandum 94-1 (B) (2nd edn). L. L. Thursone Psychometric Laboratory, University of North Carolina, Chapel Hill, NC, USA.

Cited by

  1. Analysis of population differentiation in North Eurasian cattle (Bos taurus) using single nucleotide polymorphisms in three genes associated with production traits vol.37, pp.4, 2006, https://doi.org/10.1111/j.1365-2052.2006.01479.x
  2. Study on polymorphisms of microsatellite DNA of six Chinese indigenous sheep and goat breeds vol.1, pp.4, 2007, https://doi.org/10.1007/s11703-007-0078-8
  3. The genetic structure of cattle populations (Bos taurus) in northern Eurasia and the neighbouring Near Eastern regions: implications for breeding strategies and conservation vol.16, pp.18, 2007, https://doi.org/10.1111/j.1365-294X.2007.03437.x
  4. ) based on microsatellites: clarification for their breed classification vol.41, pp.2, 2010, https://doi.org/10.1111/j.1365-2052.2009.01980.x
  5. Genetic diversity and admixture of indigenous cattle from North Ethiopia: implications of historical introgressions in the gateway region to Africa vol.43, pp.3, 2011, https://doi.org/10.1111/j.1365-2052.2011.02245.x
  6. Molecular tools and analytical approaches for the characterization of farm animal genetic diversity vol.43, pp.5, 2012, https://doi.org/10.1111/j.1365-2052.2011.02309.x
  7. Supporting conservation of livestock biodiversity through multidisciplinary studies: a case study of the Yakutian cattle in Siberia, the far east of Russia vol.50, pp.2078-6344, 2012, https://doi.org/10.1017/S2078633611000397
  8. Potential emigration of Siberian cattle germplasm on Chirikof Island, Alaska vol.96, pp.1, 2017, https://doi.org/10.1007/s12041-016-0739-6
  9. Genetic Diversity of 14 Indigenous Grey Goose Breeds in China Based on Microsatellite Markers vol.19, pp.1, 2006, https://doi.org/10.5713/ajas.2006.1
  10. Evaluation of Genetic Variability in Kenkatha Cattle by Microsatellite Markers vol.19, pp.12, 2005, https://doi.org/10.5713/ajas.2006.1685
  11. Studies on Genetic Variation of Different Chinese Duck Populations with Random Amplified Polymorphic DNA Analysis vol.19, pp.4, 2005, https://doi.org/10.5713/ajas.2006.475
  12. Molecular characterization of breeds and its use in conservation vol.120, pp.3, 2005, https://doi.org/10.1016/j.livsci.2008.07.003
  13. Characterization of rare migratory cattle and evaluation of its phylogeny using short-tandem-repeat-based markers vol.45, pp.1, 2005, https://doi.org/10.1080/09712119.2016.1194843
  14. Genomic selection strategies for breeding adaptation and production in dairy cattle under climate change vol.123, pp.3, 2005, https://doi.org/10.1038/s41437-019-0207-1
  15. Morphometric and microsatellite-based comparative genetic diversity analysis in Bubalus bubalis from North India vol.9, pp.None, 2005, https://doi.org/10.7717/peerj.11846