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Genetic Structure and Differentiation of Three Indian Goat Breeds
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 Title & Authors
Genetic Structure and Differentiation of Three Indian Goat Breeds
Dixit, S.P.; Verma, N.K.; Aggarwal, R.A.K.; Kumar, Sandeep; Chander, Ramesh; Vyas, M.K.; Singh, K.P.;
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Gene flow, genetic structure and differentiation of Kutchi, Mehsana and Sirohi breeds of goat from North-Western India were evaluated based on 25 microsatellite markers so as to support breed conservation and improvement decisions. The microsatellite genotyping was carried out using an automated DNA sequencer. The gene diversity across the studied loci for the Kutchi breed varied from 0.57 (ILST 065) to 0.93 (OarFCB 304, OMHC 1, ILSTS 058) with an overall mean of 0.790.02. The corresponding values for Mehsana and Sirohi breeds were 0.16 (ILST 008) to 0.93 (OMHC 1, ILSTS 058) with an average of 0.760.04, and 0.50 (ILSTS 029) to 0.94 (ILSTS 058) with an average of 0.780.02, respectively. The Mehsana breed had lowest gene diversity among the 3 breeds studied. All the populations showed an overall significant heterozygote deficit (). The Fis values were 0.26, 0.14 and 0.36 for Kutchi, Mehsana and Sirohi goat breeds, respectively. Kutchi and Mehsana were more differentiated (16%) followed by Mehsana and Sirohi (13%).The measures of standard genetic distance between pairs of breeds indicated that the lowest genetic distance was between Kutchi and Sirohi breeds (0.73) and the largest genetic distance was between Mehsana and Kutchi (1.0) followed by Sirohi and Mehsana (0.75) breeds. Mehsana and Kutchi are distinct breeds and this was revealed by the estimated genetic distance between them. All measures of genetic variation revealed substantial genetic variation in each of the populations studied, thereby showing good scope for their further improvement.
Microsatellite Loci;Genetic Variation;Genetic Distance and Breed Assignment;Goat;
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아세아태평양축산학회지, 2010. vol.23. 12, pp.1552-1556 crossref(new window)
Preliminary analysis of microsatellite-based genetic diversity of goats in southern Nigeria, Animal Genetic Resources/Ressources génétiques animales/Recursos genéticos animales, 2011, 49, 2078-6344, 33  crossref(new windwow)
Acharya, R. M. 1982. Sheep and goat breeds of India. FAO animal production and health paper, No. 30, FAO, Rome

Awemu-Ibeagha, E. M. and G. Erhardt. 2005. Genetic structure and differentiation of 12 African Bos indicus and Bos Taurus cattle breeds, inferred from protein and microsatellite polymorphisms. J. Anim. Breed. Genet. 122:12-20 crossref(new window)

Barbujani, G., A. Magaui, E. S. Minch and L. L. Cavalli-Sfroza. 1997. An apportionment of human DNA diversity. Proceedings of the National Academy of Sciences of the USA 94:4516-4529 crossref(new window)

Barker, J. S. F., S. G.Tan, S. S. Moore, T. K. Mukherjee, J. L. Matheson and O. S. Selvaraj. 2001. Genetic variation within and relationships among populations of Asian goats (Capra hircus). J. Anim. Breed. Genet. 118:213-233 crossref(new window)

Behl, R., N. Sheoran, J. Behl, R. K. Vijh and M. S. Tantia. 2003. Analysis of 22 heterologous microsatellite markers for genetic variability in Indian goats. Anim. Biotechnol. 14:167-175 crossref(new window)

Boyce, W. M., P. W. Hedrick, N. E. Muggli-Cockett, S. Kalinowski, M. C. Penedo and R. R. Ramey. 1996. Genetic variation of major histocompatibilty complex and microsatellite loci: a comparison in Bighorn sheep. Genetics 145:421-433

Chenyambuga, S. W., O. Hanotte, J. Hirbo, P. C. Watts, S. J. Kemp, G. C. Kifaro, P. S. Gwakisa, P. H. Petersen and J. E. O. Rege. 2004 Genetic characterization of indigenous goats of Subsaharan Africa using microsatellite DNA markers. Asian-Aust. J. Anim. Sci. 17:445-452

Cornuet, J. M., S. Piry, G. Luikart, A. Estoup and M. Solignac. 1999. New methods employing multilocus genotypes to select or exclude populations as origins of individuals. Genetics 153:1-23

FAO. 1995a. Global project for the maintenance of domestic animal genetic diversity (MoDAD). Draft Project Formulation Report. FAO, Rome, Italy

FAO. 1995b. World Watch List for Domestic Animal Diversity, $2^{nd}$ edn., FAO, Rome, Italy.

Goldstein, D. B., A. Ruiz Linares, L. L. Cavalli-Sfroza and M. W. Feldman. 1995. An evaluation of genetic distances for use with microsatellite loci. Genetics 139:463-471

Goudet, J. 2002. FSTAT (version A program to estimate and test gene diversities and fixation indices. F-statistics. J. Hered. 86:485-486

Goudet, J., M. Raymond, T. Demeeus and F. Rousset. 1996. Testing population differentiation in diploid populations. Genetics 144:1933-1940

Iamartino, D., A. Bruzzone, A. Lanza, M. Blasi and F. Pilla. 2005. Genetic diversity of Southern Italian goat populations assessed by microsatellite markers. Small Ruminant Research 57:249-255 crossref(new window)

Jandurova, O. M., T. Kott, B. Kottova and V. Czernekova. 2004. Seven microsatellite markers useful for determining genetic variability in White and Brown Short-Haired goat breeds. Small Ruminant Research 52:271-274 crossref(new window)

Kim, K. S., J. S. Yeo, J. W. Lee, J. W. Kim and C. B. Choi. 2002. Genetic diversity of goats from Korea and China using microsatellite analysis. Asin-Aust. J. Anim. Sci. 15:461-465

Kimura, M. and J. W. Crow. 1964. The number of alleles that can be maintained in a finite population. Genetics 49:725-738

Kumar, D., S. P. Dixit, R. Sharma, A. K. Pandey, G. Sirohi, A. K. Patel, R. A. K. Aggarwal, N. K. Verma, D. S. Gour and S. P. S. Ahlawat. 2005. Population structure genetic variation and management of Marwari goats. Small Ruminant Research. 59:41-48 crossref(new window)

Lewontin, R. C. 1972. The apportionment of human diversity. Evol. Biol. 6:381-398

Li, M. H., S. H. Zhao, C. Bian, H. S. Wang, H. Wei, B. Liu, M. Yu, B. Fan, S. L. Chen, M. J. Zhu, S. J. Li, T. A. Xiong and K. Li. 2002. Genetic relationships among twelve Chinese indigenous goat populations based on microsatellite analysis. Genet. Sel. Evol. 34:729-744 crossref(new window)

Nei, M. 1972. Genetic distances between populations. Am. Nat. 106:283-292 crossref(new window)

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

Ota, T. 1993. DISPAN: genetic distance and phylogenetic analysis Pennsylvania State University PA

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

Saitbekova, N., C. Gaillard, G. Obexer-Ruff and G. Dolf. 1999. Genetic diversity in wiss goat breeds based on microsatellite analysis. Anim. Genet. 30:36-41 crossref(new window)

Saitou, N. and M. Nei. 1987. The neighbor-joining method: A new method for reconstructing phylogenetic tree. Mol. Bio. Evol. 4:406-425

Sambrook, J., E. F. Fritsch and T. Maniatis. 1989. Molecular Cloning: A Laboratory Manual $2^{nd}$ ed Cold spring Harbour Cold Spring Laboratory Press NY

Slatkin, M. 1993. Isolation by distance in equilibrium and nonequilibrium populations. Evolution 47:264-279 crossref(new window)

Slatkin, M. 1995 A measure of population subdivision based on microsatellite allele frequency. Genetics 134:983-993

Sneath, P. H. A. and R. R. Sokal. 1973. Numerical taxonomy. W.H. Freeman San Francisco

Takahashi, H., D. Nyamsamba, B. Mandakh, Yo. Zagdsuren, T. Amano, K. Nomura, M. Yokohama, S. Ito and M. Minezawa 2008. Genetic structure of Mongolian goat populations using microsatellite loci analysis. Asian-Aust. J. Anim. Sci. 21:947-953

Takezaki, N. and M. Nei. 1996. Genetic distances and reconstruction of phylogenetic tree from microsatellite DNA. Genetics 144:389-399 crossref(new window)

Wright, S. 1978. Evolution and the genetics of populations Vol. 4. Variability within and among Natural Populations. University of Chicago Press Chicago

Yeh, F. C., Rong-cai Yang and T. Boyle. 1999. POPGENE version 1.31. University of Alberta and Centre for International Forestry Research