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Genome Wide Association Study to Identity QTL for Growth Taits in Hanwoo

전장 유전체 연관분석을 통한 한우 성장 연관 양적형질좌위 (QTL) 탐색

  • Received : 2012.09.03
  • Accepted : 2012.10.26
  • Published : 2012.10.31

Abstract

Genome-wide association study was performed on data from 266 Hanwoo steers derived from 66 sires using bovine 10K mapping chip in Hanwoo (Korean cattle). SNPs were excluded from the analysis if they failed in over 5% of the genotypes, had median GC scores below 0.6, had GC scores under 0.6 in less than 90% of the samples, deviated in heterozygosity more than 3 standard deviations from the other SNPs and were out of Hardy-Weinberg equilibrium for a cut-off p-value of $1^{-15}$. Unmapped and SNPs on sex chromosomes were also excluded. A total of 4,522 SNPs were included in the analysis. To test an association between SNP and QTL, a single marker regression analysis was implemented in this study. SNP was assumed to be in LD with QTL in close proximity and the effect evaluated was additive effect (QTL allele substitution effect). The number of significant SNP at a threshold of P<0.001 was 3, 5, 5 and 4 loci for live weight at 6, 12, 18 and 24 months, respectively. For live weight at different ages, significant SNP were spread out across chromosome but some of significant SNP (rs29012453 and rs29012456 on BTA24) had shown highly significant effects. As for the distribution of size of SNP effects, few loci for live weight at different age had moderate effects (6~11%) but most of significant loci had small effects (2 to 5% of additive genetic variance) against total additive genetic variance. In conclusion, live weight at different age might be affected by few loci with moderate effect and many loci with small effects across genome in Hanwoo.

본 연구는 한우 거세우 266두에서 유전자형 결정이 완료된 4,522개의 SNP를 이용하여 한우 성장형질 (6, 12, 18 및 24개월령 체중)에 대한 양적형질좌위 (QTL)을 탐색 하였다. 각 SNP와 성장형질과의 연관성 분석은 회귀분석 (single marker regression)을 이용하여 수행하였으며, 통계적 유의성은 P-value (P<0.001)로 설정하였다. 그 결과, 6개월체중에서 3개 좌위, 12개월 체중에서는 5개 좌위, 18개월체중에서 5개좌위 그리고 24개월체중에서 4개 좌위가 통계적 유의차를 보였다. 통계적 유의차를 보인 SNP의 상가적 유전분산을 분석한 결과, 몇몇 SNP에서는 6~11% 정도의 상가적 유전효과를 보였으며, 대부분의 SNP들은 2~5%로 매우 작은 효과를 보였다.

Keywords

References

  1. Aulchenko, Y. S., de Koning, D. J. and Haley, C. 2007. Genomewide rapid association using mixed model and regression: A fast and simple method for genomewide pedigree-based quantitative trait loci association analysis. Genetics. 177:577-585. https://doi.org/10.1534/genetics.107.075614
  2. Barendse, W., Reverter, A., Bunch, R. J., Harrison, B. E., Barris, W. and Thomas, M. B. 2007. A Validated Whole-Genome Association Study of Efficient Food Conversion in Cattle. Genetics. 176:1893-1905. https://doi.org/10.1534/genetics.107.072637
  3. Bolormaa, S., Porto Neto, L. R., Zhang, Y. D., Bunch, R. J., Harrison, B. E., Goddard, M. E. and Barendse, B. 2011. A genome-wide association study of meat and carcass traits in Australian cattle. J. Anim. Sci. 89: 2297-2309. https://doi.org/10.2527/jas.2010-3138
  4. Davis, G. P., Hetzel, D. J. S., Corbet, N. J., Scacheri, S. and Lowden, S. 1998. The mapping of quantitative trait loci for birth weight in tropical beef herd. Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, Armidale, N.S.W., Australia, Vol. 26, pp. 441-446.
  5. Dekker, J. C. M. and Hospital, F. 2002. The use of molecular genetics in the improvement of agricultural populations. Nat. Rev. Genet. 3:22-32. https://doi.org/10.1038/nrg701
  6. Fernando, R. L. and Grossman, M. 1989. Marker assisted selection using best linear unbiased prediction. Genet. Sel. Evol. 21: 467-477. https://doi.org/10.1186/1297-9686-21-4-467
  7. Georges, M. 1995. Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing. Genetics. 139:907-920.
  8. Gilmour, A. R., Gogel, B. J., Cullis, B. R. and Thompson, R. 2006. ASREML: User manual, NSW Department of Primary Industries.
  9. Grapes, L., Dekkers, J. C., Rothschild, M. F. and Fernando, R. L. 2004. Comparing linkage disequilibrium-based methods for fine mapping quantitative trait loci. Genetics. 166:1561-1570. https://doi.org/10.1534/genetics.166.3.1561
  10. Hayes, B. J., Pryce, J., Chamberlain, A. J., Bowman, P. J. and Goddard, M. E. 2010. Genetic architecture of complex traits and accuracy of genomic prediction: coat colour, milk-fat percentage and type in holstein cattle as contrasting model traits. Plos genet. 6(9), e1001139. https://doi.org/10.1371/journal.pgen.1001139
  11. Hayes, B., Bowman, P. J., Chamberlain, A. C., Verbyla, K. and Goddard, M. E. 2009. Accuracy of genomic breeding values in multi-breed dairy cattle populations. Genet. Sel. Evol. 41:1-9. https://doi.org/10.1186/1297-9686-41-1
  12. Hu, E. R., Fritz and Reecy, J. M. 2007. Animal QTLdb: A Livestock QTL Database Tool Set for Positional QTL Information Mining and Beyond. Nucleic Acids Research. 35:D604-D609. https://doi.org/10.1093/nar/gkl946
  13. Karim, L., et al. 2011. Variants modulating the expression of a chromosome domain encompassing PLAG1 influence bovine stature. Nat. Genet. 43:405-413. https://doi.org/10.1038/ng.814
  14. Kim, Y., Ryu, J. Woo, J., Kim, J. B., Kim, C. Y. and Lee, C. 2010. Genome-wide association study reveals five nucleotide sequence variants for carcass traits in beef cattle. Anim. Genet. 42(4): 361-365.
  15. Kolbehdari, D., Wang, Z., Grant, J. R., Murdoch, B., Prasad, A., Xiu, Z., Marques, E., Stothard, P. and Moore, S. S. 2008. A whole-genome scan to map quantitative trait loci for conformation and functional traits in Canadian Holstein Bulls. J. Dairy Sci. 91:2844-2856. https://doi.org/10.3168/jds.2007-0585
  16. Kneeland, J., Li, C., Basarab, J., Snelling, W. M. and Benkel, B. 2004. Identification and fine mapping of quantitative trait loci for growth traits on bovine chromosomes 2, 6, 14, 19, 21, and 23 within one commercial line of Bos taurus. J. Anim. Sci. 82: 3405-3414. https://doi.org/10.2527/2004.82123405x
  17. Lee, S. H, van der Werf, J. H. J., Lee S. H., Lim, D., Park, E. W., Gondro, C., Yoon, D., Oh, S. J., Kim, O. H., Gibson, J. and Thompson, J. 2012. Genome wide QTL mapping to identify candidate genes for carcass traits in Hanwoo (Korean cattle). Genes & Genomics. 34:43-49. https://doi.org/10.1007/s13258-011-0081-6
  18. Maltecca, C., Weigel, K. A., Khatib, H., Cowan, M. and Bagnato, A. 2009. Whole-genome scan for quantitative trait loci associated with birth weight, gestation length and passive immune transfer in a Holstein ${\times}$ Jersey crossbred population. Anim. Genet. 40: 2734.
  19. Meuwissen, T. H. E. and Goddard, M. E. 2001. Prediction of identity by descent probabilities from marker-haplotypes. Genet. Sel. Evol. 33:605-634. https://doi.org/10.1186/1297-9686-33-6-605
  20. Mizoshita, K., Watanabe, T., Hayashi, H., Kubota, C. and Yamakuchi, H. 2004. Quantitative trait loci analysis for growth and carcass traits in a half-sib family of purebred Japanese Black (Wagyu) cattle. J. Anim. Sci. 82:3415-3420. https://doi.org/10.2527/2004.82123415x
  21. Morris, C. A., Pitchford, W. S., Cullen, N. G., Hickey, S. M. and Hyndman, D. L. 2002. Additive effects of two growth QTL on cattle chromosome 14. Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France, August 19-23.
  22. Nishmura, S., Watanabe, T., Mizoshita, K., Tatsuda, K., Fujita, T., Watanabe, N., Sugimoto, Y. and Takasuga, A. 2012. Genomewide association study indentified three major QTL for carcass weight including the PLAG1-CHCHD7 QTN for stature in Japanese Black cattle. BMC Genet. 13:40.
  23. Snelling, W. M., Allan, M. F., Keele, J. W., Kuehn, L. A., McDaneld, T., Smith, T. P. L., Sonstegard, T. S., Thallman, R. M. and Bennett, G. L. 2010. Genome-wide association study of growth in crossbred beef cattle. J. Anim. Sci. 88:837-848. https://doi.org/10.2527/jas.2009-2257
  24. Takasuga, A., Watanabe, T., Mizoguchi, Y., Hirano, T. and Ihara, N. 2007. Identification of bovine QTL for growth and carcass traits in Japanese black cattle by replication and identical-by-descent mapping. Mamm. Genome. 18:125-136. https://doi.org/10.1007/s00335-006-0096-5

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  1. Estimation of the Accuracy of Genomic Breeding Value in Hanwoo (Korean Cattle) vol.55, pp.1, 2013, https://doi.org/10.5187/JAST.2013.55.1.13