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Genome-wide associations for feed utilisation complex in primiparous Holstein–Friesian dairy cows from experimental research herds in four European countries

Published online by Cambridge University Press:  13 June 2012

R. F. Veerkamp
Affiliation:
Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, P.O. Box 65, 8200 AB, Lelystad, The Netherlands
M. P. Coffey
Affiliation:
Sustainable Livestock Systems Group, Scottish Agricultural College, Roslin Institute Building, Easter Bush Campus, Midlothian EH25 9RG, Scotland, UK
D. P. Berry
Affiliation:
Animal and Bioscience Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark, County Cork, Ireland
Y. de Haas
Affiliation:
Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, P.O. Box 65, 8200 AB, Lelystad, The Netherlands
E. Strandberg
Affiliation:
Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, PO Box 7023, S-75007 Uppsala, Sweden
H. Bovenhuis
Affiliation:
Animal Breeding and Genomics Centre, Wageningen University, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
M. P. L. Calus
Affiliation:
Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, P.O. Box 65, 8200 AB, Lelystad, The Netherlands
E. Wall
Affiliation:
Sustainable Livestock Systems Group, Scottish Agricultural College, Roslin Institute Building, Easter Bush Campus, Midlothian EH25 9RG, Scotland, UK
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Abstract

Genome-wide association studies for difficult-to-measure traits are generally limited by the sample size with accurate phenotypic data. The objective of this study was to utilise data on primiparous Holstein–Friesian cows from experimental farms in Ireland, the United Kingdom, the Netherlands and Sweden to identify genomic regions associated with the feed utilisation complex: fat and protein corrected milk yield (FPCM), dry matter intake (DMI), body condition score (BCS) and live-weight (LW). Phenotypic data and 37 590 single nucleotide polymorphisms (SNPs) were available on up to 1629 animals. Genetic parameters of the traits were estimated using a linear animal model with pedigree information, and univariate genome-wide association analyses were undertaken using Bayesian stochastic search variable selection performed using Gibbs sampling. The variation in the phenotypes explained by the SNPs on each chromosome was related to the size of the chromosome and was relatively consistent for each trait with the possible exceptions of BTA4 for BCS, BTA7, BTA13, BTA14, BTA18 for LW and BTA27 for DMI. For LW, BCS, DMI and FPCM, 266, 178, 206 and 254 SNPs had a Bayes factor >3, respectively. Olfactory genes and genes involved in the sensory smell process were overrepresented in a 500 kbp window around the significant SNPs. Potential candidate genes were involved with functions linked to insulin, epidermal growth factor and tryptophan.

Type
Breeding and genetics
Copyright
Copyright © The Animal Consortium 2012

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References

Banos, G, Brotherstone, S, Coffey, MP 2004. Evaluation of body condition score measured throughout lactation as an indicator of fertility in dairy cattle. Journal of Dairy Science 87, 26692676.Google Scholar
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. Journal of Dairy Science 91, 31903200.CrossRefGoogle ScholarPubMed
Banos, G, Coffey, MP, Veerkamp, RF, Berry, DP, Wall, E 2012. Merging and characterising phenotypic data on conventional and rare traits from dairy cattle experimental resources in three countries. Animal 6, 10401048.Google Scholar
Beerda, B, Ouweltjes, W, Sebek, LBJ, Windig, JJ, Veerkamp, RF 2007. Effects of genotype by environment interactions on milk yield, energy balance, and protein balance. Journal of Dairy Science 90, 219228.CrossRefGoogle ScholarPubMed
Berry, DP, Buckley, F, Dillon, P, Evans, RD, Rath, M, Veerkamp, RF 2002. Genetic parameters for level and change of body condition score and body weight in dairy cows. Journal of Dairy Science 85, 20302039.Google Scholar
Berry, DP, Buckley, F, Dillon, P, Evans, RD, Rath, M, Veerkamp, RF 2003. Genetic parameters for body condition score, body weight, milk yield, and fertility estimated using random regression models. Journal of Dairy Science 86, 37043717.Google Scholar
Berry, DP, Horan, B, O'Donovan, M, Buckley, F, Kennedy, E, McEvoy, M, Dillon, P 2007. Genetics of grass dry matter intake, energy balance, and digestibility in grazing Irish dairy cows. Journal of Dairy Science 90, 48354845.Google Scholar
Browning, SR, Browning, BL 2007. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. American Journal of Human Genetics 81, 10841097.CrossRefGoogle ScholarPubMed
Calus, MPL, Veerkamp, RF 2011. Accuracy of multi-trait genomic selection using different methods. Genetic Selection Evolution 43, 2640.Google Scholar
Calus, MPL, Mulder, HA, Bastiaansen, JWM 2011. Identification of Mendelian inconsistencies between SNP and pedigree information of sibs. Genetics Selection Evolution 43, 3446.Google Scholar
Campbell, ID, Baron, M, Cooke, RM, Dudgeon, TJ, Fallon, A, Harvey, TS, Tappin, MJ 1990. Structure–function-relationships in epidermal growth-factor (EGF) and transforming growth factor-alpha (TGF-ALPHA). Biochemical Pharmacology 40, 3540.Google Scholar
Choung, JJ, Chamberlain, DG 1992. Protein nutrition of dairy-cows receiving grass-silage diets – effects on silage intake and milk-production of postruminal supplements of casein or soya-protein isolate and the effects of intravenous infusions of a mixture of methionine, phenylalanine and tryptophan. Journal of the Science of Food and Agriculture 58, 307314.Google Scholar
Coffey, MP, Simm, G, Hill, WG, Brotherstone, S 2003. Genetic evaluations of dairy bulls for daughter energy balance profiles using linear type scores and body condition score analyzed using random regression. Journal of Dairy Science 86, 22052212.Google Scholar
Coffey, MP, Simm, G, Oldham, JD, Hill, WG, Brotherstone, S 2004. Genotype and diet effects on energy balance in the first three lactations of dairy cows. Journal of Dairy Science 87, 43184326.Google Scholar
Coskun, S, Ozer, C, Gonul, B, Take, G, Erdogan, D 2006. The effect of repeated tryptophan administration on body weight, food intake, brain lipid peroxidation and serotonin immunoreactivity in mice. Molecular and Cellular Biochemistry 286, 133138.Google Scholar
Daetwyler, HD 2009. Genome-wide evaluation of populations. Wageningen University, Wageningen, The Netherlands.Google Scholar
Dal Zotto, R, De Marchi, M, Dalvit, C, Cassandro, M, Gallo, L, Carnier, P, Bittante, G 2007. Heritabilities and genetic correlations of body condition score and calving interval with yield, somatic cell score, and linear type traits in Brown Swiss cattle. Journal of Dairy Science 90, 57375743.Google Scholar
de Roos, APW, Hayes, BJ, Spelman, RJ, Goddard, ME 2008. Linkage disequilibrium and persistence of phase in Holstein–Friesian, Jersey and Angus cattle. Genetics 179, 15031512.Google Scholar
Dillon, P, Berry, DP, Evans, RD, Buckley, F, Horan, B 2006. Consequences of genetic selection for increased milk production in European seasonal pasture based systems of milk production. Livestock Science 99, 141158.Google Scholar
Fuller, TF, Ghazalpour, A, Aten, JE, Drake, TA, Lusis, AJ, Horvath, S 2007. Weighted gene coexpression network analysis strategies applied to mouse weight. Mammalian Genome 18, 463472.CrossRefGoogle ScholarPubMed
Gauthier, BR, Wollheim, CB 2008. Synaptotagmins bind calcium to release insulin. American Journal of Physiology – Endocrinology and Metabolism 295, E1279E1286.Google Scholar
Gilmour, AR, Cullis, BR, Welham, SJ, Thompson, R 2009. ASREML. Program user manual. NSW Agriculture, Orange Agricultural Institute, Orange, NSW, Australia.Google Scholar
Haider, S, Ballester, B, Smedley, D, Zhang, JJ, Rice, P, Kasprzyk, A 2009. BioMart Central Portal – unified access to biological data. Nucleic Acids Research 37, W23W27.Google Scholar
Hill, WG, Robertson, A 1986. Linkage disequilibrium in finite populations. Theoretical and Applied Genetics 38, 226231.Google Scholar
Horan, B, Dillon, P, Berry, DP, O'Connor, P, Rath, M 2005. The effect of strain of Holstein–Friesian, feeding system and parity on lactation curves characteristics of spring-calving dairy cows. Livestock Production Science 95, 231241.CrossRefGoogle Scholar
Huang, DW, Sherman, BT, Lempicki, RA 2009a. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols 4, 4457.Google Scholar
Huang, DW, Sherman, BT, Lempicki, RA 2009b. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Research 37, 113.CrossRefGoogle ScholarPubMed
Kass, RE, Raftery, AE 1995. Bayes factors. Journal of the American Statistical Association 90, 773795.Google Scholar
Koenen, EPC, Veerkamp, RF 1998. Genetic covariance functions for live weight, condition score, and dry-matter intake measured at different lactation stages of Holstein Friesian heifers. Livestock Production Science 57, 6777.Google Scholar
Koenen, EPC, Veerkamp, RF, Dobbelaar, P, De Jong, G 2001. Genetic analysis of body condition score of lactating Dutch Holstein and Red-and-White heifers. Journal of Dairy Science 84, 12651270.Google Scholar
Koopmans, SJ, Guzik, AC, van der Meulen, J, Dekker, R, Kogut, J, Kerr, BJ, Southern, LL 2006. Effects of supplemental l-tryptophan on serotonin, cortisol, intestinal integrity, and behavior in weanling piglets. Journal of Animal Science 84, 963971.CrossRefGoogle ScholarPubMed
Liefers, SC, te Pas, MFW, Veerkamp, RF, van der Lende, T 2002. Associations between leptin gene polymorphisms and production, live weight, energy balance, feed intake, and fertility in Holstein heifers. Journal of Dairy Science 85, 16331638.Google Scholar
Liefers, SC, Veerkamp, RF, Pas, M, Delavaud, C, Chilliard, Y, Platje, M, van der Lende, T 2005. Leptin promoter mutations affect leptin levels and performance traits in dairy cows. Animal Genetics 36, 111118.Google Scholar
Macciotta, NPP, Mele, M, Conte, G, Serra, A, Cassandro, M, Dal Zotto, R, Borlino, AC, Pagnacco, G, Secchiari, P 2008. Association between a polymorphism at the stearoyl CoA desaturase locus and milk production traits in Italian Holsteins. Journal of Dairy Science 91, 31843189.Google Scholar
MacNeil, MD, Grosz, MD 2002. Genome-wide scans for QTL affecting carcass traits in Hereford × composite double backcross populations. Journal of Animal Science 80, 23162324.Google Scholar
Meuwissen, THE, Goddard, ME 2004. Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data. Genetics Selection Evolution 36, 261279.Google Scholar
Montgomery, GW, Flux, DS, Greenway, RM 1980. Tryptophan deficiency in pigs – changes in food-intake and plasma-levels of glucose, amino-acids, insulin and growth-hormone. Hormone and Metabolic Research 12, 304309.CrossRefGoogle ScholarPubMed
Mullen, MP, Berry, DP, Howard, DJ, Diskin, MG, Lynch, CO, Berkowicz, EW, Magee, DA, MacHugh, DE, Waters, SM 2010. Associations between novel single nucleotide polymorphisms in the Bos taurus growth hormone gene and performance traits in Holstein–Friesian dairy cattle. Journal of Dairy Science 93, 59595969.CrossRefGoogle ScholarPubMed
Oikonomou, G, Angelopoulou, K, Arsenos, G, Zygoyiannis, D, Banos, G 2009. The effects of polymorphisms in the DGAT1, leptin and growth hormone receptor gene loci on body energy, blood metabolic and reproductive traits of Holstein cows. Animal Genetics 40, 1017.Google Scholar
Petersson, KJ, Strandberg, E, Gustafsson, H, Berglund, B 2006. Environmental effects on progesterone profile measures of dairy cow fertility. Animal Reproduction Science 91, 201214.Google Scholar
Pryce, JE, Nielsen, BL, Veerkamp, RF, Simm, G 1999. Genotype and feeding system effects and interactions for health and fertility traits in dairy cattle. Livestock Production Science 57, 193201.CrossRefGoogle Scholar
Seidenspinner, T, Tetens, J, Habier, D, Bennewitz, J, Thaller, G 2011. The placental growth factor (PGF) – a positional and functional candidate gene influencing calving ease and stillbirth in German dairy cattle. Animal Genetics 42, 2227.Google Scholar
Sheehy, PA, Riley, LG, Raadsma, HW, Williamson, P, Wynn, PC 2009. A functional genomics approach to evaluate candidate genes located in a QTL interval for milk production traits on BTA6. Animal Genetics 40, 492498.Google Scholar
Sved, JA 1971. Linkage disequilibrium and homozygosity of chromosome segments in finite populations. Theoretical Population Biology 2, 125141.CrossRefGoogle ScholarPubMed
Svendsen, M, Skipenes, P, Mao, IL 1994. Genetic correlations in the feed conversion complex of primiparous cows at a recommended and a reduced plane of nutrition. Journal of Animal Science 72, 14411449.Google Scholar
Van der Lende, T, Te Pas, MFW, Veerkamp, RF, Liefers, SC 2005. Leptin gene polymorphisms and their phenotypic associations. In Vitamins and hormones – advances in research and applications (ed. Gerald Litwack), vol. 71, pp. 373–404. Elsevier Academic press, San Diego, California, USAGoogle Scholar
Veerkamp, RF 1998. Selection for economic efficiency of dairy cattle using information on live weight and feed intake: a review. Journal of Dairy Science 81, 11091119.CrossRefGoogle ScholarPubMed
Veerkamp, RF 2002. Feed intake and energy balance in lactating animals. In Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France, CD-ROM Session 10-01.Google Scholar
Veerkamp, RF, Simm, G, Oldham, JD 1995. Genotype by environment interactions: experience from Langhill. BSAP Occasional Publication 19, 5977.Google Scholar
Veerkamp, RF, Beerda, B, van der Lende, T 2003. Effects of genetic selection for milk yield on energy balance, levels of hormones, and metabolites in lactating cattle, and possible links to reduced fertility. Livestock Production Science 83, 257275.Google Scholar
Veerkamp, RF, Emmans, GC, Oldham, JD, Simm, G 1993. Energy and protein utilization of cows of high and low genetic merit for milk solids production on a high and low input diet. Biological basis of sustainable animal production. Proceedings of the 4th Zodiac Symposium, Wageningen, The Netherlands, April.Google Scholar
Veerkamp, RF, Oldenbroek, JK, van der Gaast, HJ, van der Werf, JHJ 2000. Genetic correlation between days until start of luteal activity and milk yield, energy balance and live weights. Journal of Dairy Science 83, 577583.Google Scholar
Verbyla, KL, Calus, MPL, Mulder, HA, de Haas, Y, Veerkamp, RF 2010. Predicting energy balance for dairy cows using high density SNP information. Journal of Dairy Science 93, 27572764.Google Scholar
Wall, E, Simm, G, Moran, D 2010. Developing breeding schemes to assist mitigation of greenhouse gas emissions. Animal 4, 366376.Google Scholar
Waters, SM, McCabe, MS, Howard, DJ, Giblin, L, Magee, DA, MacHugh, DE, Berry, DP 2011. Associations between newly discovered polymorphisms in the Bos taurus growth hormone receptor gene and performance traits in Holstein–Friesian dairy cattle. Animal Genetics 42, 3949.Google Scholar
Wolfe, BE, Metzger, ED, Stollar, C 1997. The effects of dieting on plasma tryptophan concentration and food intake in healthy women. Physiology & Behavior 61, 537541.Google Scholar