| BMC Genetics | |
| Genetic parameters for milk fatty acids in Danish Holstein cattle based on SNP markers using a Bayesian approach | |
| Bart Buitenhuis1  Luc L Janss1  Lotte B Larsen2  Mette K Larsen2  Nina A Poulsen2  Kristian Krag1  | |
| [1] Department of Molecular Biology and Genetics, Faculty of Science and Technology, Aarhus University, PO Box 50, DK-8830 Tjele, Denmark;Department of Food Science, Faculty of Science and Technology, Aarhus University, PO Box 50, DK-8830 Tjele, Denmark | |
| 关键词: Milk fatty acids; Bayesian mixed model; Genomic correlation; Genomic heritability; | |
| Others : 1086731 DOI : 10.1186/1471-2156-14-79 |
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| received in 2012-09-10, accepted in 2013-09-04, 发布年份 2013 | |
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【 摘 要 】
Background
For several years, in human nutrition there has been a focus on the proportion of unsaturated fatty acids (UFA) and saturated fatty acids (SFA) found in bovine milk. The positive health-related properties of UFA versus SFA have increased the demand for food products with a higher proportion of UFA. To be able to change the UFA and SFA content of the milk by breeding it is important to know whether there is a genetic component underlying the individual FA in the milk. We have estimated the heritability for individual FA in the milk of Danish Holstein. For this purpose we used information of SNP markers instead of the traditional pedigree relationships.
Results
Estimates of heritability were moderate within the range of 0.10 for C18:1 trans-11 to 0.34 for C8:0 and C10:0, whereas the estimates for saturated fatty acids and unsaturated fatty acids were 0.14 and 0.18, respectively. Posterior standard deviations were in the range from 0.07 to 0.17. The correlation estimates showed a general pattern of two groups, one group mainly consisting of saturated fatty acids and one group mainly consisting of unsaturated fatty acids. The phenotypic correlation ranged from −0.95 (saturated fatty acids and unsaturated fatty acids) to 0.99 (unsaturated fatty acids and monounsaturated fatty acids) and the genomic correlation for fatty acids ranged from −0.29 to 0.91.
Conclusions
The heritability estimates obtained in this study are in general accordance with heritability estimates from studies using pedigree data and/or a genomic relationship matrix in the context of a REML approach. SFA and UFA expressed a strong negative phenotypic correlation and a weaker genetic correlation. This is in accordance with the theory that SFA is synthesized de novo, while UFA can be regulated independently from the regulation of SFA by the feeding regime.
【 授权许可】
2013 Krag et al.; licensee BioMed Central Ltd.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 20150116014810753.pdf | 524KB | ||
| Figure 2. | 84KB | Image | |
| Figure 1. | 59KB | Image |
【 图 表 】
Figure 1.
Figure 2.
【 参考文献 】
- [1]Givens DI: Milk and meat in our diet: good or bad for health. Animal 2010, 4:1941-1952.
- [2]Lichtenstein AH, Appel LJ, Brands M, Carnethon M, Daniels S, Franch HA, Franklin B, Kris-Etherton P, Harris WS, Howard B, Karanja N, Lefevre M, Rudel L, Sacks F, Van Horn L, Winston M, Wylie-Rosett J, American Heart Association Nutrition Committee: Diet and lifestyle recommendations revision 2006: a scientific statement from the American Heart Association Nutrition Committee. Circulation 2006, 114:82-96.
- [3]Mele M, Dal ZR, Cassandro M, Conte G, Serra A, Buccioni A, Bittante G, Secchiari P: Genetic parameters for conjugated linoleic acid, selected milk fatty acids, and milk fatty acid unsaturation of Italian Holstein-Friesian cows. J Dairy Sci 2009, 92(1):392-400.
- [4]Stoop WM, van Arendonk JA, Heck JM, van Valenberg HJ, Bovenhuis H: Genetic parameters for major milk fatty acids and milk production traits of Dutch Holstein-Friesians. J Dairy Sci 2008, 91(1):385-394.
- [5]AlZahal O, Or-Rashid MM, Greenwood SL, Douglas MS, McBride BW: The effect of dietary fiber level on milk fat concentration and fatty acid profile of cows fed diets containing low levels of polyunsaturated fatty acids. J Dairy Sci 2009, 92(3):1108-1116.
- [6]Grummer RR: Effect of Feed on the Composition of Milk-Fat. J Dairy Sci 1991, 74(9):3244-3257.
- [7]Dewhurst RJ, Moorby JM, Vlaeminck B, Fievez V: Apparent recovery of duodenal odd- and branched-chain fatty acids in milk of dairy cows. J Dairy Sci 2007, 90(4):1775-1780.
- [8]Palmquist DL, Beaulieu AD, Barbano DM: Feed and Animal Factors Influencing Milk-Fat Composition. J Dairy Sci 1993, 76(6):1753-1771.
- [9]Soyeurt H, Dardenne P, Gillon A, Croquet C, Vanderick S, Mayeres P, Bertozzi C, Gengler N: Variation in fatty acid contents of milk and milk fat within and across breeds. J Dairy Sci 2006, 89(12):4858-4865.
- [10]Bobe G, Bormann JAM, Lindberg GL, Freeman AE, Beitz DC: Estimates of genetic variation of milk fatty acids in US Holstein cows. J Dairy Sci 2008, 91(3):1209-1213.
- [11]Krag K, Janss L, Shariati MM, Buitenhuis AJ: SNP based heritability estimation using a Bayesian approach. Animal 2012, 7(4):531-539.
- [12]Garnsworthy PC, Feng S, Lock AL, Royal MD: Short communication: Heritability of milk fatty acid composition and stearoyl-CoA desaturaes indices in dairy cows. J Dairy Sci 2010, 93(4):1743-1748.
- [13]Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, Madden PA, Heath AC, Martin NG, Montgomery GW, Goddard ME, Visscher P: Common SNPs explain a large proportion of heritability for human height. Nature Genet 2010, 42(7):565-569.
- [14]Hansen HO, Knudsen J: Effect of exogenous long-chain fatty acids on individual fatty acid synthesis by dispersed ruminant mammary gland cells. J Dairy Sci 1987, 70(7):1350-1354.
- [15]Larsen T, Larsen MK, Friggens NC: Enzymatic and fluorometric determination of triacylglycerols in cow milk and other opaque matrices. Food Chem 2011, 125(3):1110-1115.
- [16]Poulsen NA, Gustavsson F, Glantz M, Paulsson M, Larsen LB, Larsen MK: The influence of feed and herd on fatty acid composition in 3 dairy breeds (Danish Holstein, Danish Jersey, and Swedish Red). J Dairy Sci 2012, 95(11):6362-6371.
- [17]Van Tassell CP, Smith TP, Matukumalli LK, Taylor JF, Schnabel RD, Lawley CT, Haudenschild CD, Moore SS, Warren WC, Sonstegard TS: SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries. Nat Methods 2008, 5(3):247-252.
- [18]Teo YY, Inouye M, Small KS, Gwilliam R, Deloukas P, Kwiatkowski DP, Clark TG: A genotype calling algorithm for the Illumina BeadArray platform. Bioinformatics 2007, 23(20):2741-2746.
- [19]Liu Y, Qin X, Song XZH, Jiang HY, Shen YF, Durbin KJ, Lien S, Kent MP, Sodeland M, Ren YR, Zhang L, Sodergren E, Havlak P, Worley KC, Weinstock GM, Gibbs RA: Bos taurus genome assembly. BMC Genomics 2009, 10:180. BioMed Central Full Text
- [20]Janss L: Bayz. 2.04 ed. 2011. http://www.bayz.biz/ webcite
- [21]Buitenhuis AJ, Sundekilde UK, Poulsen NA, Bertram HC, Larsen LB, Sørensen P: Estimation of Genetic Parameters and Detection of QTL for Metabolites in Danish Holstein Milk. J Dairy Sci 2013, 96:3285-3295.
- [22]VanRaden PM: Efficient methods to compute genomic predictions. J Dairy Sci 2008, 91:4414-4423.
- [23]Madsen P, Jensen J: An user’s guide to DMU. A package for analysing multivariate mixed models. Version 6, release 4.7. 2007. Available at: http://dmu.agrsci.dk webcite
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