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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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 Abstract
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.
 Keywords
Buffalo;Microsatellites;F-statistics;Genetic Distance;Correspondence Analysis;
 Language
English
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 References
1.
Anilkumar, K. and K. V. Raghunandanan. 2003. The dwarf cattle and buffalo of kerala. College of Veterinary and Animal Sciences, KAU, Mannuthy, Thrissur

2.
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)

3.
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)

4.
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)

5.
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)

6.
Belkhir, K., P. Borsa, J. Goudet, L. Chikhi and F. Bonhomme. 1998. Genetix, logicial sous windows TM pour la genetique des populations. Montpellier. France. www.univ-montp2.fr/$\sim$genetix/genetix.htm

7.
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

8.
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)

9.
Cho, G. J. 2005. Microsatellite polymorphism and genetic relationship in dog breeds in Korea. Asian-Aust. J. Anim. Sci. 18(8):1071-1074

10.
Felsestien, J. 1993. PHYLIP: A software package http://evolution.gs.washington.edu/phylip.html

11.
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

12.
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

13.
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

14.
Jame, P. and P. J. L. Lagoda. 1996. Microsatellite from molecules to population and back. Trends Ecol. Evol. 11:424-430 crossref(new window)

15.
Lewis, P. O. and D. Zaykin. 2002. GDA software available from http://lewis.eeb.uconn.edu/lewishome

16.
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. http://Lotka.stanford.edu/microsat/microsat.html

17.
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

18.
Nei, M. 1972. Genetic distance between populations. Am. Naturalist 106:283-92 crossref(new window)

19.
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)

20.
Ota, T. 1993. DISPAN: Genetic distance and Phylogenetic analysis software. http://mep.bio.psu.edu/readme.html

21.
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)

22.
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

23.
Raymond, M. and F. Rousset. 2003. GENEPOP: A web software http://wbiomed.curtin.edu.au/genepop/

24.
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

25.
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

26.
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

27.
Weir, B. S. and C. C. Cockerham. 1984. Estimating F statistics for the analysis of population structure. Evol. 38:1358-1370 crossref(new window)

28.
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)

29.
Yeh, F. C., T. Boyle, Y. Rongcai, Z. Ye and J. M. Xian. 1999. POPGENE version 3.1 (http://www.ualberta.ca/-fyeh/fyeh)