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Multilocus Genotyping to Study Population Structure in Three Buffalo Populations of India
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 Title & Authors
Multilocus Genotyping to Study Population Structure in Three Buffalo Populations of India
Tantia, M.S.; Vijh, R.K.; Mishra, Bina; Kumar, S.T. Bharani; Arora, Reena;
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Three buffalo populations viz. Bhadawari, Tarai and local buffaloes of Kerala were genotyped using 24 heterologous polymorphic microsatellite loci. A total of 140 alleles were observed with an average observed heterozygosity of 0.63. All the loci were neutral and 18 out of the 24 loci were in Hardy Weinberg Equilibrium. The values (estimate of inbreeding) for 16 loci in all the three populations were negative. This indicated lack of population structure in the three populations. The effective number of immigrants was 5.88 per generation between the Tarai and Bhadawari populations which was quite high suggesting substantial gene flow. The genetic distances revealed closeness between the Tarai and Bhadawari populations which was expected from geographical contiguity. The FST values were not significantly different from zero showing no population differentiation. The Correspondence Analysis based on the allelic frequency data clustered the majority of the Tarai and Bhadawari individuals as an admixture.
Buffalo;Microsatellites;F-statistics;Genetic Distance;Correspondence Analysis;
 Cited by
Anilkumar, K. and K. V. Raghunandanan. 2003. The dwarf cattle and buffalo of kerala. College of Veterinary and Animal Sciences, KAU, Mannuthy, Thrissur

Arora, R., B. D. Lakhchaura, R. B. Prasad, M. S. Tantia and R. K. Vijh. 2004. Genetic diversity analysis of two buffalo populations of northern India using microsatellite markers. J. Anim. Breed. Genet. 121:111-118 crossref(new window)

Barker, J. S. F., S. S. Moore, D. J. S. Hetzel, D. Evans, S. G. Tan and K. Byrne. 1997. Genetic diversity of Asian water buffalo (Bubalus bubalis): microsatellite variation and a comparison with protein coding loci. Anim. Genet. 28:103-115 crossref(new window)

Barton, N. H. and M. Slatkin. 1986. A quasi-equilibrium theory of the distribution of rare alleles in a sub divided population. Heredity 56:409-415 crossref(new window)

Bassam, B. J., G. Coetano-Anolles and P. M. Gresshoff. 1991. Fast and sensitive silver staining of DNA in polyacrylamide gels, Anal. Biochem. 196:80-83 crossref(new window)

Belkhir, K., P. Borsa, J. Goudet, L. Chikhi and F. Bonhomme. 1998. Genetix, logicial sous windows TM pour la genetique des populations. Montpellier. France.$\sim$genetix/genetix.htm

Bloom, M. S., M. Parsons, Y. Lacaille and S. Lotz. 1996. Use of microsatellite loci to classify individuals by relatedness. Mol. Ecol. 3:393-401

Bowcock, A. M., A. Ruiz-Lenares, J. Tomfohrde, E. Minch and J. R. Kidd. 1994. High resolution of human evolutionary trees with polymorphic microsatellites. Nature, 368:455-457 crossref(new window)

Cho, G. J. 2005. Microsatellite polymorphism and genetic relationship in dog breeds in Korea. Asian-Aust. J. Anim. Sci. 18(8):1071-1074

Felsestien, J. 1993. PHYLIP: A software package

Fan, B., Y. Z. Chen, C. Moran, S. H. Zhao, B. Liu, M. Yu, M. J. Zhu, T. A. Xiong and K. Li. 2005. Individual-breed assignment analysis in swine populations by using microsatellite markers. Asian-Aust. J. Anim. Sci. 18(11):1529-1534

Goldstein, D. B., A. R. Linares, L. L. Cavalli-Sforza and H. W. Feldman. 1995. An Evaluation of genetic distance for use with microsatellite loci. Genet. 139:463-471

Goldstein, D. B., L. A. Zhivotovsky, K. Nayar, A. RuizLinares, L. L. Cavalli-Sforza and H. W. Feldman. 1996. Statistical properties of the variation at linked microsatellite lociimplications for the history of human Y chromosome. Mol. Biol. Evol. 13:1213-1218

Jame, P. and P. J. L. Lagoda. 1996. Microsatellite from molecules to population and back. Trends Ecol. Evol. 11:424-430 crossref(new window)

Lewis, P. O. and D. Zaykin. 2002. GDA software available from

Minch, E., A. Ruiz-Linares, D. Goldstein, M. Feldman and L. L. Cavalli-Sforza. 1996. Microsat 1.4d: A computer programme for calculating various statistics on microsatellite allele data.

Navani, N., P. K. Jain, S. Gupta, B. S. Sisodia and S. Kumar. 2002. A set of cattle microsatellite DNA markers for genome analysis of riverine buffalo (Bubalus bubalis). Anim. Genet. 30:149-154

Nei, M. 1972. Genetic distance between populations. Am. Naturalist 106:283-92 crossref(new window)

Nei, M., F. Tajima and Y. Tateno. 1983. Accuracy of estimated phylogenetic trees from molecular data. J. Mol. Evol. 19:153-170 crossref(new window)

Ota, T. 1993. DISPAN: Genetic distance and Phylogenetic analysis software.

Primmer, C. R., H. Ellegren, N. Sanio and A. P. Moller. 1996. Directional evolution in germline microsatellite mutations. Nat. Genet. 13:391-393 crossref(new window)

Pundir, R. K., R. V. Singh, P. K. Vij, R. K. Vijh and A. E. Nivsarkar. 1997. Characterization of Bhadawari buffaloes. NBAGR Research Bulletin No. 7, NBAGR, Karnal, India

Raymond, M. and F. Rousset. 2003. GENEPOP: A web software

Robertson, A. and W. G. Hill. 1984. Deviation from Hardy Weinberg proportions; sampling variances and use in estimation of inbreeding coefficients. Genet. 107:713-718

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

Sethi, R. K. 2001. Buffalo breeding in India. $2^{nd}$ edn, Dairy Year Book, All India Dairy Business Directory, Sadana Publishers and Distributors, India, pp. 264-70

Weir, B. S. and C. C. Cockerham. 1984. Estimating F statistics for the analysis of population structure. Evol. 38:1358-1370 crossref(new window)

Vijh, R. K., B. Mishra, R. Arora, P. Chaudhary, U. Sharma and M. S. Tantia. 2005. Comparative evaluation of three buffalo populations using microsatellite markers. Ind. J. Anim. Sci. (in press)

Yeh, F. C., T. Boyle, Y. Rongcai, Z. Ye and J. M. Xian. 1999. POPGENE version 3.1 (