DOI QR코드

DOI QR Code

한우의 지방산 조성에 영향을 미치는 SREBPs와 FABP4의 유전자 조합 규명

Major gene identification for SREBPs and FABP4 gene which are associated with fatty acid composition of Korean cattle

  • 투고 : 2015.04.13
  • 심사 : 2015.05.22
  • 발행 : 2015.05.31

초록

인간의 질병 또는 가축의 경제적인 특성은 단일 유전자보다는 여러 유전자들의 상호작용에 의한 영향을 많이 받는다. 본 연구에서는 이러한 유전자들의 상호작용을 규명하기 위해 기존에 사용되었던 방법들의 단점을 보완한 에스엔피 하비스트 방법을 이용하였다. 사용된 유전자는 최근 한우의 육질에 영향을 미치는 지방산 조성과 깊은 연관이 있다고 밝혀진 단일염기다형성 중 SREBPs (g.3270+10274 C>T, g.13544 T>C)와 FABP4 (g.2634+1018 A>T, g.2988 A>G, g.3690 G>A, g.3710 G>C, g.3977-325 T>C, g.4221 A>G)이며, 경제형질은 한우의 맛과 향에 영향을 주는 올레인산, 불포화지방산, 근내지방도를 이용하였다. 먼저 에스엔피 하비스트 방법을 이용하여 경제형질에 영향을 주는 우수 유전자 조합을 찾은 뒤 다중인자차원축소방법을 이용하여 단일염기다형성 조합 내의 우수 유전자형도 함께 규명하였다.

Disease of human and economic traits of livestocks are affected a lot by gene combination effect rather than a single gene effect. In this study, we used SNPHarvester method that supplement existing method in order to investigate the interaction of these genes. The used genes are SREBPs (g.3270+10274 C>T, g.13544 T>C) and FABP4 (g.2634+1018 A>T, g.2988 A>G, g.3690 G>A, g.3710 G>C, g.3977-325 T>C, g.4221 A>G) that are closely related to the fatty acid composition affecting the meatiness of Korean cattle. The economic traits which are used are oleic acid (C18:1), monounsaturated fatty acid (MUFA), marbling score (MS). First, we have utilized the SNPHarvester method in order to find excellent gene combination, and then used the multifactor dimensionality reduction method in order to identify excellent genotype in gene combination.

키워드

참고문헌

  1. Jin, M. H., Oh, D. Y. and Lee, J. Y. (2013). Major gene identification for LPL gene in Korean cattles. Journal of the Korean Data & Information Science Society, 24, 1331-1339. https://doi.org/10.7465/jkdi.2013.24.6.1331
  2. Lee, H., Lee, M. H. and Chung, M. S. (1994). Comparison of flavor characteristics and palatability of beef obtained from various breeds. Korean Journal for Food Science of Animal Resources, 26, 500-506.
  3. Lee, J., Lee, J., Yeo, Y. and Kim, J. (2013a). A SNP harvester analysis to better detect SNPs of CCDC158 gene that are associated with carcass quality traits in Hanwoo. Asian-Australasian Journal of Animal Sciences, 26, 766-771. https://doi.org/10.5713/ajas.2012.12715
  4. Lee, J. Y. and Bae, J. Y. (2012). Main gene combinations and genotype identification of Hanwoo quality with SNPHarvester. Communications of the Korean Statistical Society, 19, 799-808. https://doi.org/10.5351/CKSS.2012.19.6.799
  5. Lee, J. Y. and Kim, D. C. (2009). Identify Major gene-gene interaction effects using SNPHarvester. Communications of the Korean Statistical Society, 16, 915-923. https://doi.org/10.5351/CKSS.2009.16.6.915
  6. Lee, J. Y., Bae, J. Y., Lee, J. M., Oh, D. Y. and Lee, S. W. (2013b). Major gene interactions effect identification on the quality of Hanwoo by radial graph. Journal of the Korean Data & Information Science Society, 24, 151-159. https://doi.org/10.7465/jkdi.2013.24.1.151
  7. Lee, J. Y., Kwon, J. C. and Kim, J. J. (2008). Multifactor dimensionality reduction(MDR) analysis to detect single nucleotide poly- morphisms associated with a carcass trait in a Hanwoo population. Asian-Australasian Journal of Animal Sciences, 21, 784-788. https://doi.org/10.5713/ajas.2008.70645
  8. 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.
  9. Lee, J. Y., Lee, J. H. and Lee, Y. W. (2010). Detection of major genotype combination by genotype matrix. Journal of the Korean Data & Information Science Society, 21, 387-395.
  10. Mandell, I. B., Buchanan-Smith, J. G. and Campbell, C. P. (1998). Effects of forage vs grain feeding on carcass characteristics, fatty acid composition, and beef quality in Limousin-cross steers when time on feed is controlled. Journal of Animal Science, 67, 2619-2630.
  11. Matsuhashi, T., Maruyama, S., Uemoto, Y., Kobayashi, N., Mannen, H., Abe, T., Sakaguchi, S. and Kobayashi, E. (2011). Effects of bovine fatty acid synthase, stearoyl-coenzyme A desaturase, sterol regulatory element-binding protein 1, and growth hormone gene polymorphisms on fatty acid composition and carcass traits in Japanese Black cattle. Journal of Animal Science, 89, 12-22. https://doi.org/10.2527/jas.2010-3121
  12. Melton, S. L., Amiri, M., Davis, G. W. and Backus, W. R. (1982). Flavor and chemical characteristics of ground beef from grass-, forage-, grain- and grain-finished steers. Journal of Animal Science, 55, 77-87. https://doi.org/10.2527/jas1982.55177x
  13. Monson, F., Sanudo, C. and Sierra, I. (2005). Influence of breed and ageing time on sensory meat quality and consumer acceptability in intensively reared beef. Meat Science, 71, 471-479. https://doi.org/10.1016/j.meatsci.2005.04.026
  14. Oh, D. Y. (2014). Identification of the SNP (single nucleotide polymorphism) whithin candidate gene associated with fatty composition in Hanwoo, Yeungnam University, Kyungsan.
  15. Oh, D. Y., Lee, T. S., La, B. M., Yeo, J. S., Chung, E. Y., Kim, Y. Y. and Lee, C. Y. (2011). Fatty acid composition of beef is associated with exonic nucleotide variants of the gene encoding FASN. Molecular Biology Reports, 39, 4083-4090.
  16. Ritchie, M. D., Hahn, L. W., Roodi, N., Bailey, L. R., Dupont, W. D., Parl F. F. and Moore, J. H. (2001). Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. American Journal of Human Genetics, 69, 138-147. https://doi.org/10.1086/321276
  17. Yang, C., He, Z., Wan, X., Yang, Q., Xue, H. and Yu, W. (2009). SNPHarvester a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinformatics, 25, 504-511. https://doi.org/10.1093/bioinformatics/btn652
  18. Yoshimura, T. and Namikawa, K. (1983). nfluence of breed, sex and anatomical location on lipid and fatty acid composition of bovine subcutaneous fat. Japanese Journal of Zootechnical Science, 54, 97-100.