Genetic variances of SNP loci for milk yield in dairy cattle
详细信息    查看全文
  • 作者:Petr Pe?ek ; Josef P?ibyl ; Lubo? Vostry
  • 关键词:Dairy cattle ; Single nucleotide polymorphism ; Genomic selection ; Direct genetic value
  • 刊名:Journal of Applied Genetics
  • 出版年:2015
  • 出版时间:August 2015
  • 年:2015
  • 卷:56
  • 期:3
  • 页码:339-347
  • 全文大小:376 KB
  • 参考文献:Aguilar I, Misztal I, Johnson DL, Legarra A, Tsuruta S, Lawlor TJ (2010) Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. J Dairy Sci 93:743-52CrossRef PubMed
    Banos G, Woolliams JA, Woodward BW, Forbes AB, Coffey MP (2008) Impact of single nucleotide polymorphisms in leptin, leptin receptor, growth hormone receptor, and diacylglycerol acyltransferase (DGAT1) gene loci on milk production, feed, and body energy traits of UK dairy cows. J Dairy Sci 91:3190-200CrossRef PubMed
    Blott S, Kim JJ, Moisio S, Schmidt-Küntzel A, Cornet A, Berzi P, Cambisano N, Ford C, Grisart B, Johnson D, Karim L, Simon P, Snell R, Spelman R, Wong J, Vilkki J, Georges M, Farnir F, Coppieters W (2003) Molecular dissection of a quantitative trait locus: a phenylalanine-to-tyrosine substitution in the transmembrane domain of the bovine growth hormone receptor is associated with a major effect on milk yield and composition. Genetics 163:253-66PubMed Central PubMed
    Boichard D, Grohs C, Bourgeois F, Cerqueira F, Faugeras R, Neau A, Rupp R, Amigues Y, Boscher MY, Levéziel H (2003) Detection of genes influencing economic traits in three French dairy cattle breeds. Genet Sel Evol 35:77-01PubMed Central CrossRef PubMed
    Christensen OF, Lund MS (2010) Genomic prediction when some animals are not genotyped. Genet Sel Evol 42:2. doi:10.-186/-297-9686-42-2 PubMed Central CrossRef PubMed
    Cole JB, VanRaden PM (2010) Visualization of results from genomic evaluations. J Dairy Sci 93:2727-740CrossRef PubMed
    Grisart B, Farnir F, Karim L, Cambisano N, Kim JJ, Kvasz A, Mni M, Simon P, Frère JM, Coppieters W, Georges M (2004) Genetic and functional confirmation of the causality of the DGAT1 K232A quantitative trait nucleotide in affecting milk yield and composition. Proc Natl Acad Sci U S A 101:2398-403PubMed Central CrossRef PubMed
    Hayes BJ, Bowman PJ, Chamberlain AJ, Goddard ME (2009) Invited review: Genomic selection in dairy cattle: progress and challenges. J Dairy Sci 92:433-43CrossRef PubMed
    Jiang L, Liu J, Sun D, Ma P, Ding X, Yu Y, Zhang Q (2010) Genome wide association studies for milk production traits in Chinese Holstein population. PLoS One 5:e1361. doi:10.-371/?journal.?pone.-013661
    Jiménez-Montero JA, González-Recio O, Alenda R (2013) Comparison of methods for the implementation of genome-assisted evaluation of Spanish dairy cattle. J Dairy Sci 96:625-34CrossRef PubMed
    Khatkar MS, Thomson PC, Tammen I, Raadsma HW (2004) Quantitative trait loci mapping in dairy cattle: review and meta-analysis. Genet Sel Evol 36:163-90PubMed Central CrossRef PubMed
    K?nig S, Simianer H, Willam A (2009) Economic evaluation of genomic breeding programs. J Dairy Sci 92:382-91CrossRef PubMed
    Meuwissen THE, Hayes BJ, Goddard ME (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157:1819-829PubMed Central PubMed
    Misztal I, Legarra A, Aguilar I (2009) Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. J Dairy Sci 92:4648-655CrossRef PubMed
    Park T, Casella G (2008) The Bayesian lasso. J Am Stat Assoc 103:681-86CrossRef
    Pintus MA, Nicolazzi EL, Van Kaam JBCHM, Biffani S, Stella A, Gaspa G, Dimauro C, Macciota NPP (2013) Use of different statistical models to predict direct genomic values for productive and functional traits in Italian Holsteins. J Anim Breed Genet 130:32-0CrossRef PubMed
    P?ibyl J, Haman J, Kott T, P?ibylová J, ?ime?ková M, Vostry L, Zavadilová L, ?ermák V, R??i?ka Z, ?plíchal J, Verner M, Moty?ka J, Vondrá?ek L (2012) Single-step prediction of genomic breeding value in a small dairy cattle population with strong import of foreign genes. Czech J Anim Sci 57:151-59
    Pryce JE, Goddard ME, Raadsma HW, Hayes BJ (2010) Deterministic models of breeding scheme designs that incorporate genomic selection. J Dairy Sci 93:5455-466CrossRef PubMed
    Saatchi M, Schnabel RD, Rolf MM, Taylor JF, Garrick DJ (2012) Accuracy of direct genomic breeding values for nationally evaluated traits in US Limousin and Simmental beef cattle. Genet Sel Evol 44:38. doi:10.-186/-297-9686-44-38 PubMed Central CrossRef PubMed
    Schaeffer LR (1994) Multiple-country comparison of dairy sires. J Dairy Sci 77:2671-678CrossRef PubMed
    Schaeffer LR (2006) Strategy for applying genome-wide selection in dairy cattle. J Anim Breed Genet 123:218-23CrossRef PubMed
    Strandén I, Lidauer M (1999) Solving large mixed linear models using preconditioned conjugate gradient iteration. J Dairy Sci 82:2779-787CrossRef PubMed
    Su G, Christensen OF, Janss L, Lund M (2014) Improving genomic prediction using GBLUP model with weighted G-matrix. 2014 Interbull Meeting, May 20-1, Berlin, Germany
    Szyda J, Kamiński S, ?arnecki A, ?ukowski K (2009) Incorporation of correlation between SNPs into the genomic evaluation model. Interbull Bu
  • 作者单位:Petr Pe?ek (1)
    Josef P?ibyl (1)
    Lubo? Vostry (1)

    1. Department of Genetics and Breeding of Farm Animals, Institute of Animal Science, P?átelství 815, 104 00, Prague-Uh?íněves, Czech Republic
  • 刊物主题:Life Sciences, general; Animal Genetics and Genomics; Human Genetics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
  • 出版者:Springer Berlin Heidelberg
  • ISSN:2190-3883
文摘
Regression coefficients and genetic variances for 40,890 single nucleotide polymorphisms (SNPs) for milk yield were calculated using mixed model equations, with deregressed proof (DRP) as the dependent variable. Bulls were genotyped using the Illumina BovineSNP50 v2 BeadChip and SNPs were edited according the minor allele frequency (MAF) and high incidence of missing genotype. Evaluation was conducted in two rounds. In the preliminary round, the direct genetic values (DGVs) of all genotyped bulls (2,904) were computed and the absolute difference between the DGV and the input DRP of each bull was investigated. Bulls with an absolute difference greater than the mean absolute difference plus two standard deviations were eliminated from the data set prior to the final analysis (2,766 bulls remaining). SNP regression coefficients from the final analysis had a mean absolute value of 0.506 kg and a standard deviation of 0.409 kg. The SNP with the highest regression coefficient and genetic variance was ARSBFGLNGS4939 on chromosome 14. This SNP is located within the gene DGAT1 (diacylglycerol O-acyltransferase 1). Other SNPs with high regression coefficients and genetic variance are localised in proximity to DGAT1. The mean genetic variance of an individual SNP was 0.170, with a standard deviation of 0.384 and a mean heterozygosity of 0.372. The sum of genetic variances of all SNPs was only 6,968.8, probably because of the existence of genetic covariances between loci. The largest sum of genetic variances was on chromosome 14 (498.4, 7.15 % of the total). After the final analysis, the correlation between the DGV and the input DRP was 0.951 for all bulls. The variance of the predicted DGV was 98.11 % of the variance of the input estimated breeding value (EBV) and 63.65 % of the variance of the DRP. Keywords Dairy cattle Single nucleotide polymorphism Genomic selection Direct genetic value

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700