Study on identification of candidate DNA marker related with beef quailty in QTL region of BTA 2 in Hanwoo population

한우 2번 염색체 양적형질좌위 영역에서 육질 연관 후보 DNA 마커 규명에 관한 연구

  • Received : 2011.04.26
  • Accepted : 2011.06.17
  • Published : 2011.08.01

Abstract

By direct sequencing of 12 STS marker, we identified 10 polymorphic SNPs. As a result of genotype frequency analysis between 10 polymorphic SNPs and extreme population (n=20) for marbling score in Hanwoo (n=233), there was over 40 percent of frequency difference of HWSNP_1-1 and HWSNP_9-4 SNP. HWSNP_1-1 SNP was significantly associated with marbling score in large-scale population (n=233). Therefore we suggested that HWSNP_1-1 SNP can be useful as a positional candidate for beef quality for marker-assisted selection in Hanwoo.

한우산업은 유전적으로 우수한 개체를 선발하기 위하여 전통적인 육종방법에 유전체정보를 활용하여 정확하게 예측하는 기술을 개발하고 있는 실정이다. 따라서 본 연구에서는 이미 규명되어진 한우 2번 염색체 양적형질좌위을 바탕으로 발현염기서열표식 (EST) 단일염기 다형성 연관지도상에서 선발된 12개의 염기표식영역 표지인자내 단일염기다형성들과 한우집단의 육질과의 연관성을 평가하였다. 한우 2번 염색체 양적형질좌위영역에 있는 12개의 염기표식영역 표지인자를 이용하여 30차에서 33차 후대검정우 집단에서 가계정보가 서로 다른 20두에서 직접 염기서열분석을 한 결과 10개의 다형성이 있는 단일염기다형성를 확인할 수 있었다. 이 중에서 근내지방도 정규분포상 양쪽 집단과 단일염기다형성 유전자형간 빈도분석을 한 결과 HWSNP_1-1과 HWSNP_9-4 단일염기다형성에서 40%이상의 빈도차이를 나타내었다. 이 2개의 단일염기다형성들로 한우집단 (n=233)에서 근내 지방도와의 연관성을 살펴본 결과 HWSNP_1-1 단일염기다형성에서만 유의적인 차이를 나타내었다 (P<0.05). 따라서 본 연구에서는 HWSNP_1-1 단일염기다형성는 유전체정보를 활용한 한우 육질 개량에 있어 가장 효율적인 보조수단으로 활용가치가 높을 것이라 판단된다.

Keywords

References

  1. Abe, T., Saburi, J., Hasebe, H., Nakagawa, T., Kawamura, T., Saito, K., Nade, T., Misumi, S., Okumura, T., Kuchida, K., Hayashi, T., Nakane, S., Mitsuhasi, T., Nirasawa, K., Sugimoto, Y. and Kobayashi, E. (2008). Bovine quantitative trait loci analysis for growth, carcass, and meat quality traits in an F2 population from a cross between Japanese Black and Limousin. Journal of Animal Science, 86, 2821-2832. https://doi.org/10.2527/jas.2007-0676
  2. Alexander, L. J., Macneil, M. D., Geary, T. W., Snelling, W. M., Rule, D. C. and Scanga, J. A. (2007). Quantitative trait loci with additive effects on palatability and fatty acid composition of meat in a Wagyu-Limousin F2 population. Animal Genetics, 38, 506-513. https://doi.org/10.1111/j.1365-2052.2007.01643.x
  3. Casas, E., Keele, J. W., Shackelford, S. D., Koohmaraie, M., Sonstegard, T. S., Smith, T. P. L., Kappes, S. M. and Stone, R.T. (1998). Association of the muscle hpertrophy locus with carcass traits in beef cattle. Journal of Animal Science, 76, 468-473. https://doi.org/10.2527/1998.762468x
  4. Cho, D. (2010). Mixed-effects LS-SVM for longitudinal data. Journal of the Korean Data & Information Science Society, 21, 363-369.
  5. Dekkers, J. C. and Hospital, F. (2002). The use of molecular genetics in the improvement of agricultural populations. Nature Review Genetics, 3, 22-32. https://doi.org/10.1038/nrg701
  6. Farnir, F., Coppieters, W., Arranz, J. J., Berzi, P., Cambisano, N., Grisart, B., Karim, L., Marcq, F., Moreau, L., Mni, M., Nezer, C., Simon, P., Vanmanshoven, P., Wagenaar, D. and Georges, M. (2000). Extensive genome-wide linkage disequilibrium in cattle. Genome Research, 10, 220-227. https://doi.org/10.1101/gr.10.2.220
  7. Hayes, B. J., Visscher, P. M., McPartlan, H. C. and Goddard, M. E. (2003). Novel multilocus measure of linkage disequilibrium to estimate past effective population size. Genome Research, 13, 635-643. https://doi.org/10.1101/gr.387103
  8. Kim, J. W., Park, S. I. and Yeo, J. S. (2003). Linkage mapping and QTL on chromosome 6 in Hanwoo (Korean Cattle). Asian-Australian Journal of Animal Science, 16, 1402-1405. https://doi.org/10.5713/ajas.2003.1402
  9. Lee, J. Y., and Lee, J. H. (2010). Support vector machine and multifactor dimensionality reduction for detecting major gene interactions of continuous data. Journal of the Korean Data & Information Science Society, 21, 1271-1280
  10. Lim, S. Y., Baek, J. S. and Kim, M. S. (2010). Video character recognition improvement by support vector machines and regularized discriminant analysis. Proceedings of Journal of the Korean Data & Information Science Society, 1-10.
  11. MacNeil, M. D., and Grosz, M. D. (2002). Genome-wide scans for QTL affecting carcass traits in Hereford x composite double backcross populations. Journal of Animal Science, 80, 2316-24. https://doi.org/10.2527/2002.8092316x
  12. McClure, M. C., Morsci, N. S., Schnabel, R. D., Kim, J. W., Yao, P., Rolf, M. M., McKay, S. D., Gregg, S. J., Chapple, R. H., Northcutt, S. L. and Taylor, J. F. (2010). A genome scan for quantitative trait loci influencing carcass, post-natal growth and reproductive traits in commercial Angus cattle. Animal Genetics, 1365-2052.
  13. Odani, M., Narita, A., Watanabe, T., Yokouchi, K., Sugimoto, Y., Fujita, T., Oguni, T., Matsumoto, M. and Sasaki, Y. (2006). Genome-wide linkage disequilibrium in two Japanese beef cattle breeds. Animal Genetics, 37, 139-144. https://doi.org/10.1111/j.1365-2052.2005.01400.x
  14. Hu, Z. L., Park, C. A., Fritz, E. R. and Reecy, J. M. (2010). QTLdb: A comprehensive database tool building bridges between genotypes and phenotypes. Invited lecture with full paper published electronically on The 9th World Congress on Genetics Applied to Livestock Production, Leipzig, Germany.
  15. Shim, J., Park, H. and Seok, K. H. (2009). Variance function estimation with LS-SVM for replicated data. Journal of the Korean Data & Information Science Society, 20, 925-931.
  16. Spangler, M. L., Bertrand, J. K. and Rekaya, R. (2007). Combining genetic test information and correlated phenotypic records for breeding value estimation. Journal of Animal Science, 85, 641-649. https://doi.org/10.2527/jas.2006-617
  17. Thallman, R. M. (2004). DNA testing and marker assisted selection. http://www.beefimprovement.org/proceedings/04proceedings/thallman.pdf Accessed: Feb. 10, 2009.