Genetic Control of Meat Quality Traits

  • John L. Williams

Meat was originally produced from non-specialized animals that were used for a variety of purposes, in addition to being a source of food. However, selective breeding has resulted in “improved” breeds of cattle that are now used to produce either milk or beef, and specialized chicken lines that produce eggs or meat. These improved breeds are very productive under appropriate management systems. The selection methods used to create these specialized breeds were based on easily measured phenotypic variations, such as growth rate or physical size. Improvement in the desired trait was achieved by breeding directly from animals displaying the desired phenotype. However, more recently sophisticated genetic models have been developed using statistical approaches that consider phenotypic information collected, not only from individual animals but also from their parents, sibs, and progeny.


Quantitative Trait Locus Milk Yield Quantitative Trait Locus Mapping Meat Quality Quantitative Trait Locus Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Anderson, L., & Georges, M. (2004). Domestic animal genomic: deciphering the genetics of complex traits. Nature Reviews Genetics, 5, 202–212.CrossRefGoogle Scholar
  2. Archibald, A. L., Haley, C. S., Brown, J. F., Couperwhite, S., McQueen, H. A., Nicholson, D., et al. (1995). The PiGMaP consortium linkage map of the pig (Sus scrofa). Mamm Genome, 6, 157–175.CrossRefGoogle Scholar
  3. Barb, C. R., Hausman, J. H., & Hoseknechtm, K. L. (2001). Biology of leptin in the pig. Domestic Animal Endocrinology, 21, 297–317.CrossRefGoogle Scholar
  4. Barendse, W. (2002a). DNA markers for meat tenderness. Patent WO02064820.Google Scholar
  5. Barendse, W. (2002b). Assessing lipid metabolism. Patent WO9923248.Google Scholar
  6. Barendse, W., Bunch, R. J., & Harrison, B. E. (2005). The leptin C73T missense mutation is not associated with marbling and fatness traits in a large gene mapping experiment in Australian cattle. Animal Genetics, 36, 71–93.CrossRefGoogle Scholar
  7. Barendse, W., Vaiman, D., Kemp, S., Sugimoto, Y., Armitage, S., Williams, J. L., et al. (1997). A medium density genetic linkage map of the bovine genome. Mammalian Genome, 8, 21–28.CrossRefGoogle Scholar
  8. Bellmann, O., Wegner, J., Teuscher, F., Schneider, F., & Ender, K. (2004). Muscle characteristics and corresponding hormone concentrations in different types of cattle. Livestock Production Science, 85, 45–57.CrossRefGoogle Scholar
  9. Berghmans, S., Segers, K., Shay, T., Georges, M., Cockett, N., & Charlier, C. (2001). Breakpoint mapping positions the callipyge gene within a 285 kilobase chromosome segment containing the GTL-2 gene. Mammalian Genome, 12, 183–185.Google Scholar
  10. Bishop, M. D., Kappes, S. M., Keele, J. W., Stone, R. T., Sunden, S. L. F, Hawkins, G. A., et al. (1994). A genetic linkage map for cattle. Genetics, 136, 619–639.Google Scholar
  11. Blott, S. C., Williams, J. L., & Haley, C. S. (1999). Discriminating among between cattle breeds using genetic markers. Heredity, 6, 613–619.CrossRefGoogle Scholar
  12. Bouley, J., Meunier, B., Chambon, C., DeSmet, S., Hocquette, J. F., & Picard, B. (2005). Proteomic analysis of bovine skeletal muscle hypertrophy. Proteomics, 5, 490–500.Google Scholar
  13. Buchanan, F. C., Fitzsimmons, C. J., Van Kessel, A. G., Thue, T. D., Winkelman-Sim, D. C., & Schmutz, S. M. (2002). Association of a missense mutation in the bovine leptin gene with carcass fat content and leptin mRNA levels. Genetic Selection Evolution, 34, 105–116.Google Scholar
  14. Buchanan, F. C., Thue, T. D., Yu, P., & Winkelman-Sim, D. C. (2005). Single nucleotide polymorphisms in the corticotrophin-releasing hormone and pro-opiomelancortin genes are associated with growth and carcass yield in beef cattle. Animal Genetics, 36, 127–131.CrossRefGoogle Scholar
  15. Burrow, H. M., Moore, S. S., Johnston, D. J., Barendse, W., & Bindon, B. M. (2001). Australian Journal of Experimental Agriculture, 41, 893–919.Google Scholar
  16. Casas, E., Keele, J. W., Shackelford, S. D., Koohmaraie, M., & Stone, R. T. (2004). Identification of quantitative trait loci for growth and carcass composition in cattle. Animal Genetics,35, 2–6.CrossRefGoogle Scholar
  17. Casas, E., Shackelford, S. D., Keele, J. W., Koohmaraie, M., Smith, T. P. L., & Stone, R. T. (2003). Detection of quantitative trait loci for growth and carcass composition in cattle. Journal of Animal Science,81, 2976–2983.Google Scholar
  18. Casas, E., Shackelford, S. D., Keele, J. W., Stone, R. T., Kappes, S. M., & Koohmaraie, M. (2000). Quantitative trait loci affecting growth and carcass composition of cattle segregating alternate forms of myostatin. Journal of Animal Science, 78, 560–569.Google Scholar
  19. Casas, E., Stone, R. T., Keele, J. W., Shackelford, S. D., Kappes, S. M., & Koohmaraie, M. (2001). A comprehensive search for quantitative trait loci affecting growth and carcass composition of cattle segregating alternative forms of the myostatin gene. Journal of Animal Science, 79, 854–860.Google Scholar
  20. Casas, S., Smith, S. J., Zheng, Y.-W., Myers, H. M., Lear, S. R., Sande, E.,et al.. (1998). Identification of a gene encoding an acyl CoA:diacylglycerol acyltransferase, a key enzyme in triacylglycerol synthesis. Proceedings of the National Academy of Sciences of the United States of America, 95, 13018–13023.CrossRefGoogle Scholar
  21. Casser-Malek, I., Sundre, K., Listrat, A., Ueda, Y., Jurie, C., Briand, Y., et al. (2003). Integrated approach combining genetics genomics and muscle biology to manage beef quality. British Society of Animal Science York.Google Scholar
  22. Charlier, C., Coppieters, W., Farnir, F., Grobet, L., Leroy, P. L., Michaux, C.,et al. (1995). The mh gene causing double-muscling in cattle maps to bovine Chromosome 2. Mammalian Genome, 6, 788–792.CrossRefGoogle Scholar
  23. Chowdhary, B. P., Fronicke, L., Gustavsson, I., & Scherthan, H, (1996). Comparative analysis of the cattle and human genomes: detection of ZOO-FISH and gene mapping-based chromosomal homologies. Mammalian Genome, 7, 297–302.CrossRefGoogle Scholar
  24. Clop, A., Marcq, F., Takeda, H., Pirottin, D., Tordoir, X., Bibe, B., et al. (2006). A mutation creating a potential illegitimate microRNA target site in the myostatin gene affects muscularity in sheep. Nature Genetics, 38, 813–818.CrossRefGoogle Scholar
  25. Coppieters, W., Riquet, J., Arranz, J.-J., Berzi, P., Cambisano, N., Grisart, B.,et al. (1998). A QTL with major effect on milk yield and composition maps to bovine Chromosome 14. Mammalian Genome, 9, 540–544.CrossRefGoogle Scholar
  26. Crisà, A., Marchitelli, C., Savarese, M. C., & Valentini, A. (2003). Sequence analysis of myostatin promoter in cattle. Cytogenetics Genome Research, 102, 48–52.CrossRefGoogle Scholar
  27. D’Andrea, M., Fidotti, M., & Pilla, F. (2005). Differences in MC4R mRNA levels between Casertana and large white pig breeds. Italian Journal of Animal Science, 4 (Suppl. 2), 94–96.Google Scholar
  28. de Koning, D. J., Janss, L. L. G., Rattink, A. P., van Oers, P. A. M., de Vries, B. J., Groenen, M. A. M.,et al. (1999). Detection of quantitative trait loci for backfat thickness and intramuscular fat content in pigs (sus scrofa). Genetics, 152, 1679–1690.Google Scholar
  29. de Koning, D. J., Schulman, N. F., Elo, K., Moisio, S., Kinos, R., et al. (2001). Mapping of multiple quantitative trait loci by simple regression in half-sib designs. Journal of Animal Science, 79, 616–622.Google Scholar
  30. Dekkers, J. C. M. (2004). Commercial application of marker- and gene-assisted selection in livestock: Strategies and lessons. Journal of Animal Science, 82 (E. Suppl.), E313–E328.Google Scholar
  31. Dorroch, U., Goldammer, T., Brunner, R. M., Kata, S. R., Kühn, C., Womack, J. E., et al. (2001). Isolation and characterization of hepatic and intestinal expressed sequence tags potentially involved in trait differentiation between cows of different metabolic type. Mammalian Genome, 12, 528–537.CrossRefGoogle Scholar
  32. Everts-van der Wind, A., Larkin, D. M., Green, C. A., Elliott, J. S., Olmstead, C. A., Chiu, R., Schein, J. E., Marra, M. A., Womack, J. E. & Lewin, H. A. (2005). A high resolution whole-genome cattle-human comparative map reveals details of mammalian chromosome evolution. Proceedings of the National Academy of Sciences USA, 102, 18526–18531.CrossRefGoogle Scholar
  33. Fahrenkrug, S. C., Freking, B. A., Rexroad III, C. A., Leymaster, K. A., Kappes, S. M., & Smith, T. P. L. (2000). Comparative mapping of the CLPG locus. Mammalian Genome, 11, 871–876.CrossRefGoogle Scholar
  34. Fernando, R. L., & Grossman, M. (1989). Marker-assisted selection using best linear unbiased prediction. Genetics, Selection, Evolution, 21, 467–477.CrossRefGoogle Scholar
  35. Flint, J., & Mott, R. (2001). Finding the molecular basis of quantitative traits: Successes and pitfalls. Nature Reviews Genetics, 2, 437–445.CrossRefGoogle Scholar
  36. Freking, B. A., Murphy, S. K., Wylie, A. A., Rhodes, S. J., Keele, J. W., Leymaster, et al. (2002). Identification of the single base change causing the callipyge muscular hypertrophy phenotype, the only known example of polar over dominance in mammals. Genome Research, 12,1496–1506.Google Scholar
  37. Fujii, J., Otsu, K., Zorzato, F., De Leon, S., Khanna, V. K., Weiler, J. E., et al. (1991). Identification of a mutation in the porcine ryanodine receptor that is associated with malignant hypertemia. Science, 253, 448–451.Google Scholar
  38. Georges, M., Lathrop, M., Hilbert, P., Marcotte, A., Schwers, A., Swillens, S.,et al. 1990. On the use of DNA fingerprints for linkage studies in cattle. Genomics, 6, 461–474.CrossRefGoogle Scholar
  39. Georges, M., Nielsen, D., Mackinnon, M., Mishra, A., Okimoto, R., Pasquino, A. al. (1995). Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing. Genetics, 139, 907–920.Google Scholar
  40. Gianola, D., & Fernando, R. L. (1986). Journal Animal Science, 63, 217–244.Google Scholar
  41. Gianola, D., Ødegård, J., Heringstad, B., Klemetsdal, G., Sorensen, D., Madsen, P.,et al. (2004). Mixture model for inferring susceptibility to mastitis in dairy cattle: A procedure for likelihood-based inference. Genetics, Selection, Evolution. 36, 3–27.CrossRefGoogle Scholar
  42. Gilbert, R. O., Rebhun, C. A., Kim, C. A., Kehrli, M. E. Jr., Shuster, D. E., & Achermann, M. R. (1993). Clinical manifestation of leukocyte adhesion deficiency in cattle: 14 cases (1977–1991). Journal of American Veterinary Medical Association, 202, 445–449.Google Scholar
  43. Goldammer, T., Dorroch, U., Brunner, R. M., Kata, S. R., Womack, J. E., & Schwerin, M. (2002). Identification and chromosome assignment of 23 genes expressed in meat and dairy cattle. Chromosome Research, 10, 411–418.CrossRefGoogle Scholar
  44. Gregory, S. G., Sekhon, M., Schein, J., Zhao, S., Osoegawa, K., Scott, C. E., et al. (2002). A physical map of the mouse genome. Nature, 418, 743–750.CrossRefGoogle Scholar
  45. Grisart, B., Farnir, F., Karim, L., Cambisano, N., Kim, J.-J., Kvasz, A., et al. (2004). Genetic and functional confirmation of the causality of the DGAT1 K232A quantitative trait nucleotide in affecting milk yield and composition. Proceedings of the National Academy of Sciences of the United States of America, 101, 2398–2403.CrossRefGoogle Scholar
  46. Grobet, L., Martin, L. J. R., Poncelet, D., Pirottin, D., Brouwers, B., Riquet, J.,et al. (1997). A deletion in the bovine myostatin gene causes the double-muscled phenotype in cattle. Nature Genetics, 17, 71–74.CrossRefGoogle Scholar
  47. Gutiérrez-Gil, B., Wiener, P., Nute, G. R., Gill, J. L., Wood, J. D. & Williams, J. L., (2007). Detection of Quantitative Trait Loci for Meat Quality Traits in Cattle. Animal Genetics, 39, 51–61.CrossRefGoogle Scholar
  48. Hayes, H. (1995). Chromosome painting with human chromosome-specific DNA libraries reveals the extent and distribution of conserved segments in bovine chromosomes. Cytogenetics and Cell Genetics, 71, 168–174.CrossRefGoogle Scholar
  49. Henderson, C. R. (1984). Applications of linear models in animal breeding. Ontario, ON, Canada: University of Guelph.Google Scholar
  50. Huston, R. D., Cameron, N. D., & Rance, K. A. (2004). A melanocortin-4 receptor (MC4R) polymorphism is associated with performance traits in divergently selected large white pig populations. Animal Genetics, 35, 386–390.CrossRefGoogle Scholar
  51. Ihara, N., Takasuga, A., Mizoshita, K., Takeda, H., Sugimoto, M., Mizoguchi, Y.,et al. (2004). A comprehensive genetic map of the cattle genome based on 3802 microsatellites. Genome Research, 14, 1987–1998.CrossRefGoogle Scholar
  52. International Chicken Genome Sequencing Consortium. (2004). Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution, Nature, 432, 695–716.CrossRefGoogle Scholar
  53. International HapMap Consortium. (2007). A second generation human haplotype map of over 3.1 million SNPs. Nature, 449, 851–861.CrossRefGoogle Scholar
  54. Itoh, T., Watanabe, T., Ihara, N., Mariani, P., Beattie, C. W., Sugimoto, Y., et al. (2005). A comprehensive radiation hybrid map of the bovine genome comprising 5593 loci. Genomics, 85, 413–424.CrossRefGoogle Scholar
  55. Jann, O. C., Aerts, J., Jones, M., Hastings, N., Law, A., McKay, S., et al. (2006). A second generation radiation hybrid map to aid the assembly of the bovine genome sequence. BMC Genomics, 7, 283.CrossRefGoogle Scholar
  56. Jeffreys, A. J., Wilson, V., & Thein, S. L. (1985). Hypervariable ’minisatellite’ regions in human DNA. Nature, 314, 67–73.CrossRefGoogle Scholar
  57. Jiang, Y. L., Li, N., Du, L. X., & Wu, C. X. (2002). Relationship of T–${>}$A mutation in the promoter region of myostatin gene with growth traits in swine. Yi Chuan Xue Bao, 29, 413–416.Google Scholar
  58. Jiang, Z.-H., & Gibson, J. P. (1999). Genetics polymorphism in the leptin gene and their association with fatness in four pig breeds. Mammalian Genome, 10, 191–193.CrossRefGoogle Scholar
  59. Kambadur, R., Sharma, M., Smith, T. P. L., & Bass, J. J. (1997). Mutations in myostatin (GDF-8) in double muscled Belgian Blue and Piedmontese cattle. Genome Research, 7,910–915.Google Scholar
  60. Kappes, S. S., Keele, J. W., Stone, R. T., McGraw, R. A., Sonstegard, T. S., Smith, T. P.,et al. (1997). A second-generation linkage map of the bovine genome. Genome Research, 7,235–249.Google Scholar
  61. Kashi, Y., Hallerman, E., & Soller, M. (1990). Marker-assisted selection of candidate bulls for progeny testing programs. Animal Production, 51, 63–74.Google Scholar
  62. Keele, J. W., Shackelford, S. D., Kappes, S. M., Koohmaraie, M., & Stone, R. T. (1999). A region on bovine chromosome 15 influences beef longissimus tenderness in steers. Journal of Animal Science, 77, 1364–1371.Google Scholar
  63. Kennes, Y. M., Murphy, B. D., Pothier, F., & Palin, M.-F. (2001). Characterization of swine leptin (LEP) polymorphisms and their association with production traits. Animal Genetics, 32,215–218.CrossRefGoogle Scholar
  64. Kim, K. S., Larsen, N., Short, T., Plastow, G., & Rothschild, M. F. (2000). A missense variant of porcine melanocortin-4 receptor (MC4R) gene is associated with fatness, growth, and feed intake traits. Mammalian Genome, 11, 131–135.CrossRefGoogle Scholar
  65. Kim, K. S., Reecy, J. M., Hsu, W. H., Anderson, L. L., & Rothschild. (2004). Functional and phylogenetic analyses of a melanocortin-4 receptor mutation in domestic pigs. Domestic Animal Endocrinology, 26, 75–86.Google Scholar
  66. Knott, S. A., Elsen, J. M., & Haley, C. S. (1996). Methods for multiple-marker mapping of quantitative trait loci in half-sib populations. Theoretical Applied Genetics, 93, 71–80.CrossRefGoogle Scholar
  67. Koohmaraie, M., Killefer, J., Bishop, M. D., Shackelford, S. D., Wheeler, T. L., & Arbona, J. R. (1995). Calpastatin-based method for predicting meat tenderness. In A. Ouali, D. Demeyer, & F. Smulders (Eds.), Expression of tissue proteinases and regulation of protein degradation as related to meat quality (pp. 395–410). Utrecht, The Netherlands: ECCEAMST.Google Scholar
  68. Lagonigro, R., Wiener, P., Pilla, F., Woolliams, J. A., & Williams, J. L. (2003). A mutation in coding region of the bovine leptin gene associated with feed intake. Animal Genetics, 34,371–374.Google Scholar
  69. Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., et al. (2001). Initial sequencing and analysis of the human genome. Nature, 40, 9860–9921.Google Scholar
  70. Liang, P., & Pardee, A. B. (1992). Differential display of eukaryotic messenger RNA by means of the polymerase chain reaction. Science, 257, 967–971.CrossRefGoogle Scholar
  71. Liefers, S. C., Veerkamp, R. F., Te Pas, M. F., Chilliard, Y., & Van der Lende, T. (2005). Genetics and physiology of leptin in periparturient dairy cows. Domestic Animal Endocrinology, 29, 227–238.Google Scholar
  72. Lin, C. S., & Hsu, C. W. (2005). Differentially transcribed genes in skeletal muscle of Duroc and Taoyuan pigs. Journal of Animal Science, 83, 2075–2086.Google Scholar
  73. MacLennan, D. H., Zorzato, F., Fujii, J., Otsu, K., Phillips, M., Lai, F. A.,et al. (1989). Cloning and localization of the human calcium release channel (ryanodine receptor) gene to the proximal long arm (cen-q13.2) of human chromosome 19. (Abstract) American Journal of Human Genetics, 45 (Suppl.), A205.Google Scholar
  74. MacNeil, M. D., & Grosz, M. D. (2002). Genome-wide scans for QTL affecting carcass traits in Hereford x composite double backcross populations. Journal of Animal Science, 80,2316–2324.Google Scholar
  75. MacNeil, M. D., Miller, R. K., & Grosz, M. D. (2003). Genome-wide scan for quantitative traits loci affecting palatability traits of beef. Plant and Animal Genomes XI Conference, San Diego, USA.Google Scholar
  76. Malek, M., Dekkers, J. C. M., Lee, H. K., Baas, T. J., Prusa, K., Huff-Lonergan, E., et al. (2001). A molecular genome scan analysis to identify chromosomal regions influencing economic traits in the pig. II. Meat and muscle composition. Mammalian Genome, 12, 637–645.CrossRefGoogle Scholar
  77. McCarthy, L. C. (1996). Whole genome radiation hybrid mapping. Trend in Genetics, 12,491–493.Google Scholar
  78. McPherron, A. C., Lawler, A. M., & Lee, S.-J. (1997). Regulation of skeletal muscle mass in mice by a new TGF-b superfamily member. Nature, 387, 83–90.CrossRefGoogle Scholar
  79. Ménissier, F. 1982. General survey of the effect of double muscling on cattle performance. In J. W. B. King & F. Ménissier (Eds.), Muscle hypertrophy of genetic origin and its use to improve beef production (pp. 437–449). London: Martinus Nijhoff Publishers.Google Scholar
  80. Meuwissen, T. H. E. (1998). Optimizing pure line breeding strategies utilizing reproductive technologies. Journal of Dairy Science, 81 (Suppl. 2), 47–54.CrossRefGoogle Scholar
  81. Meuwissen, T. H. E., Hayes, B. J., & Goddar, M. E. (2001). Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157, 1819–1829.Google Scholar
  82. Nagamine, Y., Haley, C. S., Sewalem, A., & Visscher, P. M. (2003). Quantitative trait loci variation for growth and obesity between and within lines of pigs (sus scrofa). Genetics, 164,629–635.Google Scholar
  83. Neimann-Sorensen, A., & Robertson, A. (1961). The association between blood groups and several production characteristics in three Danish cattle breeds. Acta Agricultural Scandinavia, 11, 163–196.CrossRefGoogle Scholar
  84. Nezer, C., Moreau, L., Brouwers, B., Coppieters, A., Detilleux, J., Hanset, R.,et al. (1999). An imprinted QTL with major effect on muscle mass and fat deposition maps to the IGF2 locus in pigs. Nature Genetics, 21, 155–156.CrossRefGoogle Scholar
  85. Nonneman, D., Kappes, S. M., & Koohmaraie, M. (1999). Rapid communication: A polymorphic microsatellite in the promoter region of the bovine calpastatin gene. Journal of Animal Science, 77, 3114–3115.Google Scholar
  86. Page, B. T., Casas, E., Heaton, M. P., Cullen, N. G., Hyndman, D. L., Morris, C. A., et al. (2002). Evaluation of single-nucleotide polymorphisms in CAPN1 for association with meat tenderness in cattle. Journal of Animal Science, 80, 3077–3085.Google Scholar
  87. Ponsuksili, S., Murani, E., Walz, C., Schwerin, M., & Wimmers, K. (2007). Pre- and postnatal hepatic gene expression profiles of two pig breeds differing in body composition: Insight into pathways of metabolic regulation. Physiol Genomics, 29, 267–279.CrossRefGoogle Scholar
  88. Rattink, A. P., De Koning, D. J., Faivre, M., Harlizius, B., van Arendonk, J. A. M., & Groenen, A. M. (2000). Fine mapping and imprinting analysis for fatness trait QTLs in pigs. Mammalian Genome, 11, 656–661.CrossRefGoogle Scholar
  89. Rehfeldt, C., Fiedler, I., Dietl, G., & Ender, K. (2000). Myogenesis and postnatal skeletal muscle cell growth as influenced by selection. Livestock Production Science, 66, 177–188.CrossRefGoogle Scholar
  90. Rehfeldt, C., Ott, G., Gerrard, D. E., Varga, L., Schlote, W., Williams, J. L., Renne, U. & Bünger L. (2006). Effects of the Compact mutant myostatin allele Mstn (Cmpt-dl1Abc) introgressed into a high growth mouse line on skeletal muscle cellularity. Journal of Muscle Research and Cell Motility, 26, 103–112.CrossRefGoogle Scholar
  91. Rohrer, G. A., Alexander, L. J., Hu, Z., Smith, T. P., Keel, J. W., & Beattie, C. W. (1996). A comprehensive map of the porcine genome. Genome Research, 6, 371–391.CrossRefGoogle Scholar
  92. Rothschild, M., Ciobanu. F., & Daniel, C. (2004). Novel calpastatin (CAST) alleles. United States Patent Application 20040048267.Google Scholar
  93. Schimpf, R. J., Winkelman-Sim, D. C., Buchanan, F. C., Aalhus, J. L., Plante, Y., & Schmutz, S. M. (2000). QTL for marbling maps to cattle chromosome 2. 27th International Conference on Animal Genetics, Minneapolis, USA.Google Scholar
  94. Schmidt, J. V., Matteson, P. G., Jones, B. K., Xiao-Juan, G., & Tilghman, S. M. (2000). The Dlk1 and Gtl2 genes are linked and reciprocally imprinted. Genes Development, 14, 1997–2002.Google Scholar
  95. Schnabell, R. D., Van Tassell, C. O. P., Matukumalli, L. K., Sonstegard, T. S., Smith, T. P., Moore, S. S., et al. Application of the BovineSNP50 assay for QTL mapping and prediction of genetic merit in holstein cattle. Plant & Animal Genomes XVI Conference (p. 521).Google Scholar
  96. Seaton, G., Haley, C. S., Knott, S. A., Kearsey, M., & Visscher, P. M. (2002). QTL Express: User-friendly software to map quantitative trait loci in outbred populations. Bioinformatics, 18,339–340.CrossRefGoogle Scholar
  97. Shackelford, S. D., Koohmaraie, M., Cundiff, L. V., Gregory, K. E., Rohrer, G. A., & Savell, J. W. (1994). Heritabilities and phenotypic and genetic correlations for bovine postrigor calpastatin activity, intramuscular fat content, Warner-Bratzler shear force, retail product yield, and growth rate. Journal of Animal Science, 72, 857–863.Google Scholar
  98. Smith, T. P. L., Casas, E., Rexroad III, C. E., Kappes, S. M., & Keele, J. W. (2000). Bovine CAPN1 maps to a region of BTA29 containing a quantitative trait locus for meat tenderness. Journal of Animal Science, 78, 2589–2594.Google Scholar
  99. Snelling, W. M., Casas, E., Stone, R. T., Keele, J. W., Harhay, G. P., Bennett, G. L.,et al. (2005). Linkage mapping bovine EST-based SNP. BMC Genomics, 6, 74–78.CrossRefGoogle Scholar
  100. Snelling, W. M., Chiu, R., Schein, J. E., & The International Bovine BAC Mapping Consortium. (2007). A physical map of the bovine genome. Genome Biology, 8, R165 doi:10.1 186/gb-2007-8-8-r165.Google Scholar
  101. Solinas-Toldo, S., Lengauer, C., & Fries, R. (1995). Comparative genome map of human and cattle. Genomics, 27, 489–596.CrossRefGoogle Scholar
  102. Sorensen, D. A., & Kennedy, B. W. (1983). Estimation of response to selection using least-squares and mixed model methodology. Journal of Animal Science, 58, 1097–1106.Google Scholar
  103. Stone, R. T., Keele, J. W., Shackelford, S. D., Kappes, S. M., & Koohmaraie, M. (1999). A primary screen of the bovine genome for quantitative trait loci affecting carcass and growth traits. Journal of Animal Science, 77, 1379–1384.Google Scholar
  104. Thaller, G., Kühn, C., Winter, A., Ewald, G., Bellmann, O., Wegner, J., et al. (2003). DGAT1, a new positional and functional candidate gene for intramuscular fat deposition in cattle. Animal Genetics, 34, 354–357.CrossRefGoogle Scholar
  105. Van Laere, S.-A., Nguyen, M., Braunschweig, M., Nezer, C., Collette, C., Moreau, L., et al. (2003). A regulatory mutation in IGF2 causes a major QTL effect on muscle growth in the pig. Nature, 425, 832–836.Google Scholar
  106. Wang, Y. H., Byrne, K. A., Reverter, A., Harper, G. S., Taniguchi, M., McWilliam, S. M., et al. (2005). Transcriptional profiling of skeletal muscle tissue from two breeds of cattle. Mammalian Genome. 16, 201–210.CrossRefGoogle Scholar
  107. Weller, J. I., Kashi, Y., & Soller, M. (1990). Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle. Journal of Dairy Science, 73, 2525–2537.CrossRefGoogle Scholar
  108. Wheeler, T. L., Cundiff, L. V., Shackelford, S. D., & Koohmaraie, M. (2004). Characterization of biological types of cattle (Cycle VI): Carcass, yield, and longissimus palatability traits. Journal of Animal Science, 82, 1177–1189.Google Scholar
  109. Wiener, P., Smith, J. A., Lewis, A. M., Woolliams, J. A., & Williams, J. L. (2002). Muscle-related traits in cattle: The role of the myostatin gene in the South Devon breed. Genetic Selection and Evolution, 34, 221–232.CrossRefGoogle Scholar
  110. Yeo, G. S., Lank, E. J., Farooqi, I. S., Keogh, J., Challis, B. G., & O’Rahilly, S. (2003). Mutations in human melanocortin-4 receptor gene associated with severe familial obesity disrupts receptor function through multiple molecular mechanism. Human Molecular Genetics, 12,561–574.CrossRefGoogle Scholar
  111. Zhang, Y., Proenca, R., Maffel, M., Barone, M., Leopold, L., & Friedman, J. M. (1994). Positional cloning of the mouse obese gene and its human homologue. Nature, 372, 425–432.CrossRefGoogle Scholar
  112. Zhu, B., Smith, J., Tracey, S., Konfortov, B., Welzel, K., Schalkwyk, L., et al. (1999). A five fold coverage BAC library: Production, characterisation and distribution. Mammalian Genome, 10, 706–709.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • John L. Williams
    • 1
  1. 1.Parco Tecnologico PadanoVia Einstein, Polo UniversitarioItaly

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