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An Empirical Study on Verifying the Estimated Discrimination and Parentage Test Powers of the 13 Traceability Microsatellite Markers for Commercial Pigs Produced by a Three-way Cross

3원교잡 비육돈 집단에 대한 이력추적용 13 Microsatellite Marker의 판별효율 및 혈연관계 추정효율 실증 연구

  • Lim, Hyun-Tae (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University) ;
  • Kim, Byeong-Woo (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University) ;
  • Cho, In-Cheol (National Institute of Animal Science, R. D. A.) ;
  • Yoo, Chae-Kyoung (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University) ;
  • Park, Moon-Sung (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University) ;
  • Park, Hee-Bok (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University) ;
  • Lee, Jae-Bong (Division of Applied Life Science (BK21 program) Graduate School of Gyeongsang National University) ;
  • 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)
  • 임현태 (경상대학교 응용생명과학부(BK21)) ;
  • 김병우 (경상대학교 응용생명과학부(BK21)) ;
  • 조인철 (농촌진흥청 국립축산과학원) ;
  • 유채경 (경상대학교 응용생명과학부(BK21)) ;
  • 박문성 (경상대학교 응용생명과학부(BK21)) ;
  • 박희복 (경상대학교 응용생명과학부(BK21)) ;
  • 이재봉 (경상대학교 응용생명과학부(BK21)) ;
  • 이정규 (경상대학교 응용생명과학부(BK21)) ;
  • 전진태 (경상대학교 응용생명과학부(BK21))
  • Received : 2010.09.07
  • Accepted : 2010.11.15
  • Published : 2011.02.28

Abstract

Using the materials collected from nine farms in a three-way cross system to produce commercial pigs produced from F1 sows (Landrace $\times$ Large White) $\times$ Duroc, the power of individual discrimination and parentage of the 13 microsatellite (MS) marker set that has been suggested for individual/brand identification (traceability) was empirically tested. Initially, genotypes of the parental population ($F_1$ sows and Duroc), and commercial pigs were determined and the genotype frequency and polymorphic index were estimated using the Cervus 2.0 program. The probability of identity among genotypes of random individuals, that random half sibs and that of full sib individuals, based on the genotypes from 91 $F_1$ sows and Duroc were expected to be $4.94{\times}10^{-34}$, $8.16{\times}10^{-23}$ and $2.01{\times}10^{-08}$, respectively, using the API-CALC version 1.0 program. When commercial pigs were included, the estimates increased to $3.74{\times}10^{-35}$, $5.48{\times}10^{-25}$ and $2.96{\times}10^{-11}$, respectively. For the empirical verification of the estimated powers of individual discrimination and parentage, the parentage test was performed for 452 commercial pigs using PAPA version 2.0, and individuals with the same genotype were investigated using the Cervus version 2.0 program. Parents for all commercial pigs were successfully estimated and no identical individual was identified in the pedigree. Although the individual discriminating power was not fully verified because of the lack of individuals corresponding with the theoretical power, the 100% efficiency of parentage test was clearly confirmed. Therefore, we believe that the 13 MS marker set in conjunction with management record/information for the pig production kept in a farm/brand should be useful in the pork traceability in a brand unit.

Keywords

Microsatellite;Identification;Parentage test;Pork traceability

References

  1. 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. https://doi.org/10.1111/j.1471-8286.2004.00616.x
  2. 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. https://doi.org/10.1111/j.1365-2052.1997.00036.x
  3. Bjornstad, G., Nilsen, N. O. and Roed, K. H. 2003. Genetic relationship between Mongolian and Norwegian horses ?. Anim. Genet. 34:55-58. https://doi.org/10.1046/j.1365-2052.2003.00922.x
  4. Blott, S. C., Williams, J. L. and Haley, C. S. 1999. Discriminating among cattle breeds using genetic markers. Heredity 82:613-619. https://doi.org/10.1046/j.1365-2540.1999.00521.x
  5. Chrysochou, P., Chryssochoidis, G. and Kehagia, O. 2009. Traceability information carriers. The technology backgrounds and consumers' perceptions of the technological solutions. Appetite. 53:322-331 https://doi.org/10.1016/j.appet.2009.07.011
  6. Duchesne, P., Godbout, M. H. and Bernatchez, L. 2002. PAPA (package for the analysis of parental allocation): a computer program for simulation and real parental all.ocation. Molecular Ecology Notes 2:191-193 https://doi.org/10.1046/j.1471-8286.2002.00164.x
  7. 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(3):149-153. https://doi.org/10.1007/BF02717911
  8. Laval, G., Iannuccelli, N., Legault, C., Milan, D., Grochen, N. A. M., Giuffra, E., Anderson, L., Nissen, P. H., Jorgenson, C. B., Beckmann, P., Gelderman, H., Foolley, J. L., Chevalet, C. and Ollivier, L. 2000. Genetic diversity of eleven European pig breeds. Genet. Sele. Evol. 32:187-205. https://doi.org/10.1186/1297-9686-32-2-187
  9. Li, X., Li, K., Fan, B., Gong, Y., Zhao, S., Peng, Z. and Lio, B. 2000. The genetic diversity of seven pig breeds of China, estimated by means of microsatellites. Asian-Aust. J. Anim. Sci. 13:1193-1195. https://doi.org/10.5713/ajas.2000.1193
  10. 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. https://doi.org/10.1046/j.1365-294x.1998.00374.x
  11. Martinez, A. M., Delgazo, J. V., Rodero, A. and Vega-Pla, J. L. 2000. Genetic structure of Iberian pig breeds using microsatellites. Anim. Genet. 31:295-301. https://doi.org/10.1046/j.1365-2052.2000.00645.x
  12. Nechtelber, D., Kaltwasser, C., Stur, I., Meyer, J. N., Brem, G., Mueller, M. and Mueller, S. 2001. DNA microsatellite analysis for parentage control in Austrian. Anim. Biotechnol. 12(2): 141-144. https://doi.org/10.1081/ABIO-100108340
  13. Van-Zeveran, A., Peelman, L., Van D. W. A. and Bouquet, Y. 1995. A genetic study of four Belgian pig populations by means of seven microsatellite markers. Anim. Genet. 30:452-455.
  14. Kim, S. W., Li, X., Lee, Y. M., Kim, J. J., Kim, T. H., Choi, B. H. and Kim, K. S. 2010. Development of SNP markers for domestic pork traceability. J. Anim. Sci & Technol. (Kor.) 52(2):91-96. https://doi.org/10.5187/JAST.2010.52.2.091
  15. Ministry for Food, Agriculture, Forestry and Fisheries. 2009. A study for Food, Agriculture, Forestry & Fisheries Statistical year book.
  16. Ministry for Food, Agriculture, Forestry and Fisheries. 2009. Notification No. 2009-26 of Ministry for Food, Agriculture, Forestry and Fisheries.
  17. Korea Swine Association. 2010. The National pig farm computation grade report.
  18. Lim, H. T., Seo, B. Y., Jung, E. J., Yoo, C. K., Zhong, T., Cho, I. C., Yoon, D., Lee, J. G. and Jeon, J. T. 2009. Establishment of a microsatellite marker set for individual, pork brand and product origin identification in pig. J. Anim. Sci & Technol. (Kor.) 51(3):1-10. https://doi.org/10.5187/JAST.2009.51.1.001
  19. Lim, H. T., Seo, B. Y., Jung, E. J., Yoo, C. K., Yoon, D. and Jeon, J. T. 2009. A comparison of discriminating powers between 14 microsatellite markers and 60 SNP markers applicable to the cattle identification test. J. Anim. Sci & Technol. (Kor.) 51(5):353-360. https://doi.org/10.5187/JAST.2009.51.5.353

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