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http://dx.doi.org/10.5187/JAST.2009.51.3.201

Establishment of a Microsatellite Marker Set for Individual, Pork Brand and Product Origin Identification in Pigs  

Lim, Hyun-Tae (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University)
Seo, Bo-Yeong (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University)
Jung, Eun-Ji (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University)
Yoo, Chae-Kyoung (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University)
Zhong, Tao (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University)
Cho, In-Cheol (National Institute of Animal Science, R. D. A.)
Yoon, Du-Hak (National Institute of Animal Science, R. D. A.)
Lee, Jung-Gyu (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University)
Jeon, Jin-Tae (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University)
Publication Information
Journal of Animal Science and Technology / v.51, no.3, 2009 , pp. 201-206 More about this Journal
Abstract
Seventeen porcine microsatellite (MS) markers recommended by the EID+DNA Tracing EU project, ISAG and Roslin institute were selected for the use in porcine individual and brand identification. The MSA, CERVUS, FSTAT, GENEPOP and API-CALC programs were applied for calculating heterozygosity indices. By considering the hetreozygosity value and PCR product size of each marker, we established a MS marker set composed of 13 MS markers (SW936, SW951, SW787, S00090, S0026, SW122, SW857, S0005, SW72, S0155, S0225, SW24 and SW632) and two sexing markers. The expected probability of identity among genotypes of random individuals (PI), probability of identity among genotypes from random half sibs ($PI_{half-sibs}$) and among genotypes of random individuals, probability of identity among genotypes from random sibs($PI_{sibs}$) were estimated as $2.47\times10^{-18}$, $6.39\times10^{-13}$ and $1.08\times10^{-8}$, respectively. The results indicate that the established marker set can provide a sufficient discriminating power in both individual and parentage identification for the commercial pigs produced in Korea.
Keywords
Microsatellite markers; Brand identification; Porcine;
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1 Kaul, R., Singh, A., Vijh, R. K., Tantia, M. S. and Behl, R. 2001. Evaluation of the genetic variability of 13 microsatellite markers in native Indian pigs. J. Genet 80:149-153.   DOI
2 Raymond, M. and Rousset, F. 1995. GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J. Heredity 86:248-249.
3 Weir, B. S. and Hill, W. G. 2002. Estimating F-statistics. Annu. Rev. Genet. 36:721-50.   DOI   ScienceOn
4 농림수산식품부. 2008. 농림수산 식품 통계연보
5 임현태, 민희식, 문원곤, 이재봉, 김재환, 조인철, 이학교, 이용욱, 이정규, 전진태. 2005. 한우 생산이력제에 활용 가능한 Microsatellite의 분석과 선발. 동물자원과학회지. 47(4):491-500.
6 Dieringer, D. and Schltterer, C. 2002. Microsatellite analyser (MSA): a platform independent analysis tool for large microsatellite data sets. Molecular Ecology Notes 3(1):167-169.
7 Goudet, J. 2001. FSTAT, a program to Estimate and Test Gene Diversities and Fixation Indices (version 2.9.3). Available from http://www.unil.ch/izea/software/fstat.html
8 IHGSC (International Human Genome Sequencing Consortium). 2001. Initial sequencing and analysis of the human genome. Nature 409:860-921.   DOI   ScienceOn
9 Marshall, T. C., Slate, J., Kruuk, L. E. B. and Pemberton, J. M. 1998. Statistical confidence for likelihood-based paternity inference in natural populations. Mol. Ecol. 7:639-655.   DOI   ScienceOn
10 Li, K., Chen, Y., Moran, C., Fan, B., Zhao, S. and Peng, Z. 2000. Analysis of diversity and genetic relationships between four Chinese indigenous pig breeds and one Australian commercial pig breed. Anim. Genet. 31:322-325.   DOI   ScienceOn
11 Nei, M. 1972. Genetic distance between populations. Am. Nat. 106:283-292.   DOI   ScienceOn
12 Blott, S. C., Williams, J. L. and Haley, C. S. 1999. Discriminating among cattle breeds using genetic markers. Heredity 82:613-619   DOI   ScienceOn
13 Bjornstad, G., Nilsen, N. O. and Roed, K. H. 2003. Genetic relationship between Mongolian and Norwegian horses ? Anim. Genet. 34:55-58   DOI   ScienceOn
14 Ayres, K. L. and Overall, A. D. J. 2004. API-CALC 1.0: a computer program for calculating the average probability of identity allowing for substructure, inbreeding and the presence of close relatives. Molecular Ecology Notes 4:315-318.   DOI   ScienceOn
15 Barker, J. S. F., Tan, S. G., Selvaraj, O. S. and Mukherjee, T. K. 1997. Genetic variation within and relationships among populations of Asian water buffalo (Bubalus bualis). Anim. Genet. 28:1-13.   DOI   ScienceOn