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Genetic Contribution of Indigenous Yakutian Cattle to Two Hybrid Populations, Revealed by Microsatellite Variation
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 Title & Authors
Genetic Contribution of Indigenous Yakutian Cattle to Two Hybrid Populations, Revealed by Microsatellite Variation
Li, M.H.; Nogovitsina, E.; Ivanova, Z.; Erhardt, G.; Vilkki, J.; Popov, R.; Ammosov, I.; Kiselyova, T.; Kantanen, J.;
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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.
Yakutian Cattle;Hybrid;Admixture Analysis;Microsatellite DNA;
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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.

Blott, S. C., J. L. Williams and C. S. Haley. 1998. Genetic variation within the Hereford breed of cattle. Anim. Genet. 29:202-211.

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.

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.

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.

Dmitriez, N. G. and L. K. Ernst. 1989. Animal Genetic Resources of the USSR. FAO Animal Production and Health Paper, Rome, Italy.

Felius, M. 1995. Cattle Breeds: an Encyclopedia. Misset, Doetinchem, The Netherlands.

Guo, S. W. and E. A. Thompson. 1992. Performing the exact test for Hardy-Weinberg proportion for multiple alleles. Biometrics 48:361-372.

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.

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.

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).

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.

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.

Loader, C. R. 1996. Local likelihood density estimation. Ann. Stat. 24:1602-1618.

Long, J. C. 1991. The genetic structure of admixed populations. Genetics 127:417-428.

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.

McAllister, A. J. 2002. Is crossbreeding the answer to questions of dairy breed utilization? J. Dairy Sci. 85:2352-2357.

Nei, M. 1978. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89:583-590.

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.

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.

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.

Pritchard, J. K., M. Stephens and P. Donnelly. 2000. Inference of population structure using multilocus genotype data. Genetics 155:945-959.

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.

Raymond, M. and F. Rousset. 1995. GENEPOP (Version 1.2): population genetics software for exact tests and ecumenicism. J. Hered. 86:248-249.

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.

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.