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Associations between gene polymorphisms and selected meat traits in cattle - A review

  • Zalewska, Magdalena (Department of Bacterial Physiology, Institute of Microbiology, Faculty of Biology, University of Warsaw) ;
  • Puppel, Kamila (Institute of Animal Science, Warsaw University of Life Sciences) ;
  • Sakowski, Tomasz (Department of Biotechnology and Nutrigenomics, Institute of Genetics and Animal Biotechnology, Polish Academy of Sciences (PAS))
  • Received : 2020.09.25
  • Accepted : 2020.12.22
  • Published : 2021.09.01

Abstract

Maintaining a high level of beef consumption requires paying attention not only to quantitative traits but also to the quality and dietary properties of meat. Growing consumer demands do not leave producers many options for how animals are selected for breeding and animal keeping. Meat and carcass fatness quality traits, which are influenced by multiple genes, are economically important in beef cattle breeding programs. The recent availability of genome sequencing methods and many previously identified molecular markers offer new opportunities for animal breeding, including the use of molecular information in selection programs. Many gene polymorphisms have thus far been analyzed and evaluated as potential candidates for molecular markers of meat quality traits. Knowledge of these markers can be further applied to breeding programs through marker-assisted selection. In this literature review, we discuss the most promising and well-described candidates and their associations with selected beef production traits.

Keywords

Acknowledgement

This work was supported by the National Center for Research and Development (grant agreement: SUSAN/I/SusCatt/01/2017) as part of the European research program ERA-NET CO-FUND SUSAN (grant agreement No. 696231).

References

  1. Ekerljung M, Li X, Lunden A, Lundstrom K, Marklund S, Nasholm A. Associations between candidate SNPs in the calpain 1, calpastatin and leptin genes and meat tenderness among Swedish beef populations. Acta Agric Scand A Anim Sci 2012;62:114-9. https://doi.org/10.1080/09064702.2012.747559
  2. Bhat ZF, Morton JD, Mason SL, Bekhit AEDA. Role of calpain system in meat tenderness: a review. Food Sci Hum Wellness 2018;7:196-204. https://doi.org/10.1016/j.fshw.2018.08.002
  3. Abd El-Hack ME, Abdelnour SA, Swelum AA, Arif M. The application of gene marker-assisted selection and proteomics for the best meat quality criteria and body measurements in Qinchuan cattle breed. Mol Biol Rep 2018;45:1445-56. https://doi.org/10.1007/s11033-018-4211-y
  4. Oh DY, Lee YS, Yeo JS. Identification of the SNP (single necleotide polymorphism) of the stearoyl-CoA desaturase (SCD) associated with unsaturated fatty acid in Hanwoo (Korean cattle). Asian-Australas J Anim Sci 2011;24:757-65. https://doi.org/10.5713/ajas.2011.10410
  5. Fortes MRS, Curi RA, Chardulo LAL, et al. Bovine gene polymorphisms related to fat deposition and meat tenderness. Genet Mol Biol 2009;32:75-82. https://doi.org/10.1590/S1415-47572009000100011
  6. d'Andre Hirwa C, Wallace P, Shen X, Nie Q, Yang G, Zhang X. Genes related to economically important traits in beef cattle. Asian J Anim Sci 2011;5:34-45. https://doi.org/10.3923/ajas.2011.34.45
  7. Roudbari Z, Coort SL, Kutmon M, et al. Identification of biological pathways contributing to marbling in skeletal muscle to improve beef cattle breeding. Front Genet 2020;10:1370. https://doi.org/10.3389/fgene.2019.01370
  8. Barbera S. WHCtrend, an up-to-date method to measure water holding capacity in meat. Meat Sci 2019;152:134-40. https://doi.org/10.1016/j.meatsci.2019.02.022
  9. Pannier L, Sweeney T, Hamill RM, Ipek F, Stapleton PC, Mullen AM. Lack of an association between single nucleotide polymorphisms in the bovine leptin gene and intramuscular fat in Bos taurus cattle. Meat Sci 2009;81:731-7. https://doi.org/10.1016/j.meatsci.2008.11.014
  10. Oh D, Lee Y, La B, Yeo J. Identification of the SNP (single nucleotide polymorphism) for fatty acid composition associated with beef flavor-related FABP4 (fatty acid binding protein 4) in Korean cattle. Asian-Australas J Anim Sci 2012; 25:913-20. https://doi.org/10.5713/ajas.2012.12078
  11. Matsuhashi T, Maruyama S, Uemoto Y, et al. Effects of bovine fatty acid synthase, stearoyl-coenzyme A desaturase, sterol regulatory element-binding protein 1, and growth hormone gene polymorphisms on fatty acid composition and carcass traits in Japanese Black cattle. J Anim Sci 2011;89:12-22. https://doi.org/10.2527/jas.2010-3121
  12. Zhang S, Knight TJ, Reecy JM, Beitz DC. DNA polymorphisms in bovine fatty acid synthase are associated with beef fatty acid composition. Anim Genet 2008;39:62-70. https://doi.org/10.1111/j.1365-2052.2007.01681.x
  13. Barton L, Bures D, Kott T, Rehak D. Associations of polymorphisms in bovine DGAT1, FABP4, FASN, and PPARGC1A genes with intramuscular fat content and the fatty acid composition of muscle and subcutaneous fat in Fleckvieh bulls. Meat Sci 2016;114:18-23. https://doi.org/10.1016/j.meatsci.2015.12.004
  14. Urtnowski P, Oprzadek J, Pawlik A, Dymnicki E. The DGAT-1 gene polymorphism is informative QTL marker for meat quality in beef cattle. Maced J Anim Sci 2011;1:3-8. https://doi.org/10.54865/mjas111003u
  15. Hocquette JF, Lehnert S, Barendse W, Cassar-Malek I, Picard B. Recent advances in cattle functional genomics and their application to beef quality. Animal 2007;1:159-73. https://doi.org/10.1017/S1751731107658042
  16. Gill JL, Bishop SC, McCorquodale C, Williams JL, Wiener P. Association of selected SNP with carcass and taste panel assessed meat quality traits in a commercial population of Aberdeen Angus-sired beef cattle. Genet Sel Evol 2009;41:36. https://doi.org/10.1186/1297-9686-41-36
  17. Friedman JM, Halaas JL. Leptin and the regulation of body weight in mammals. Nature 1998;395:763-70. https://doi.org/10.1038/27376
  18. Ahima RS, Flier JS. Leptin. Annu Rev Physiol 2000;62:413-37. https://doi.org/10.1146/annurev.physiol.62.1.413
  19. Lusk JL. Association of single nucleotide polymorphisms in the leptin gene with body weight and backfat growth curve parameters for beef cattle. J Anim Sci 2007;85:1865-72. https://doi.org/10.2527/jas.2006-665
  20. Nkrumah JD, Li C, Yu J, Hansen C, Keisler DH, Moore SS. Polymorphisms in the bovine leptin promoter associated with serum leptin concentration, growth, feed intake, feeding behavior, and measures of carcass merit. J Anim Sci 2005;83: 20-8. https://doi.org/10.2527/2005.83120x
  21. Curi RA, Chardulo LAL, Arrigoni MDB, Silveira AC, de Oliveira HN. Associations between LEP, DGAT1 and FABP4 gene polymorphisms and carcass and meat traits in Nelore and crossbred beef cattle. Livest Sci 2011;135:244-50. https://doi.org/10.1016/j.livsci.2010.07.013
  22. Shin SC, Chung ER. Association of SNP marker in the leptin gene with carcass and meat quality traits in Korean cattle. Asian-Australas J Anim Sci 2007;20:1-6. https://doi.org/10.5713/ajas.2007.1
  23. Buchanan FC, Fitzsimmons CJ, Van Kessel AG, Thue TD, Winkelman-Sim DC, Schmutz SM. Association of a missense mutation in the bovine leptin gene with carcass fat content and leptin mRNA levels. Genet Sel Evol 2002;34:105-16. https://doi.org/10.1051/gse:2001006
  24. Nkrumah JD, Li C, Basarab JB, et al. Association of a single nucleotide polymorphism in the bovine leptin gene with feed intake, feed efficiency, growth, feeding behaviour, carcass quality and body composition. Can J Anim Sci 2004;84:211-9. https://doi.org/10.4141/A03-033
  25. He ML, Stanford K, Dugan MER, Marquess L, McAllister TA. Association of leptin genotype with growth performance, adipocyte cellularity, meat quality, and fatty acid profile in beef steers fed flaxseed or high-oleate sunflower seed diets with or without triticale dried distiller's grains. J Anim Sci 2020;98:skaa104. https://doi.org/10.1093/jas/skaa104
  26. Haegeman A, Van Zeveren A, Peelman LJ. New mutation in exon 2 of the bovine leptin gene. Anim Genet 2000;31:79. https://doi.org/10.1111/j.1365-2052.2000.579-14.x
  27. Shin SC, Chung ER. Association of SNP marker in the thyroglobulin gene with carcass and meat quality traits in Korean cattle. Asian-Australas J Anim Sci 2007;20:172-7. https://doi.org/10.5713/ajas.2007.172
  28. Gan QF, Zhang LP, Li JY, et al. Association analysis of thyroglobulin gene variants with carcass and meat quality traits in beef cattle. J Appl Genet 2008;49:251-5. https://doi.org/10.1007/BF03195621
  29. Zhang L, Ren H, Yang J, et al. Effect of thyroglobulin gene polymorphisms on growth, carcass composition and meat quality traits in Chinese beef cattle. Mol Biol Rep 2015;42: 1403-7. https://doi.org/10.1007/s11033-015-3919-1
  30. Papaleo Mazzucco J, Goszczynski DE, Ripoli MV, et al. Growth, carcass and meat quality traits in beef from Angus, Hereford and cross-breed grazing steers, and their association with SNPs in genes related to fat deposition metabolism. Meat Sci 2016;114:121-9. https://doi.org/10.1016/j.meatsci.2015.12.018
  31. Anwar S, Putra AC, Wulandari AS, Agung PP, Putra WPB, Said S. Genetic polymorphism analysis of 5' untranslated region of thyroglobulin gene in Bali cattle (Bos javanicus) from three different regions of Indonesia. J Indones Trop Anim Agric 2017;42:175-84. https://doi.org/10.14710/jitaa.42.3.175-184
  32. de Carvalho TD, Siqueira F, de Almeida Torres Junior RA, et al. Association of polymorphisms in the leptin and thyroglobulin genes with meat quality and carcass traits in beef cattle. Rev Bras Zootec 2012;41:2162-8. https://doi.org/10.1590/S1516-35982012001000004
  33. Barendse W, Bunch R, Thomas M, Armitage S, Baud S, Donaldson N. The TG5 thyroglobulin gene test for a marbling quantitative trait loci evaluated in feedlot cattle. Aust J Exp Agric 2004;44:669-74. https://doi.org/10.1071/EA02156
  34. Hou GY, Yuan ZR, Zhou HL, et al. Association of thyroglobulin gene variants with carcass and meat quality traits in beef cattle. Mol Biol Rep 2011;38:4705-8. https://doi.org/10.1007/s11033-010-0605-1
  35. Bennett GL, Shackelford SD, Wheeler TL, King DA, Casas E, Smith TPL. Selection for genetic markers in beef cattle reveals complex associations of thyroglobulin and casein1-s1 with carcass and meat traits. J Anim Sci 2013;91:565-71. https://doi.org/10.2527/jas.2012-5454
  36. Casas E, White SN, Shackelford SD, et al. Assessing the association of single nucleotide polymorphisms at the thyroglobulin gene with carcass traits in beef cattle. J Anim Sci 2007;85: 2807-14. https://doi.org/10.2527/jas.2007-0179
  37. Schenkel FS, Miller SP, Jiang Z, et al. Association of a single nucleotide polymorphism in the calpastatin gene with carcass and meat quality traits of beef cattle. J Anim Sci 2006;84:291-9. https://doi.org/10.2527/2006.842291x
  38. Barendse W, Harrison BE, Hawken RJ, et al. Epistasis between calpain 1 and its inhibitor calpastatin within breeds of cattle. Genetics 2007;176:2601-10. https://doi.org/10.1534/genetics.107.074328
  39. Casas E, White SN, Wheeler TL, et al. Effects of calpastatin and μ-calpain markers in beef cattle on tenderness traits. J Anim Sci 2006;84:520-5. https://doi.org/10.2527/2006.843520x
  40. Zhang R, Li X. Association between IGF-IR, m-calpain and UCP-3 gene polymorphisms and growth traits in Nanyang cattle. Mol Biol Rep 2011;38:2179-84. https://doi.org/10.1007/s11033-010-0346-1
  41. Robinson DL, Cafe LM, McIntyre BL, et al. Production and processing studies on calpain-system gene markers for beef tenderness: consumer assessments of eating quality. J Anim Sci 2012;90:2850-60. https://doi.org/10.2527/jas.2011-4928
  42. Sun X, Wu X, Fan Y, et al. Effects of polymorphisms in CAPN1 and CAST genes on meat tenderness of Chinese Simmental cattle. Arch Anim Breed 2018;61:433-9. https://doi.org/10.5194/aab-61-433-2018
  43. Cheong HS, Yoon DH, Park BL, et al. A single nucleotide polymorphism in CAPN1 associated with marbling score in Korean cattle. BMC Genet 2008;9:33. https://doi.org/10.1186/1471-2156-9-33
  44. Costello S, O'Doherty E, Troy DJ, et al. Association of polymorphisms in the calpain I, calpain II and growth hormone genes with tenderness in bovine M. longissimus dorsi. Meat Sci 2007;75:551-7. https://doi.org/10.1016/j.meatsci.2006.06.021
  45. Page BT, Casas E, Heaton MP, et al. Evaluation of single-nucleotide polymorphisms in CAPN1 for association with meat tenderness in cattle. J Anim Sci 2002;80:3077-85. https://doi.org/10.2527/2002.80123077x
  46. Curi RA, Fortes MRS, Chardulo LAL, et al. Genetic polymorphisms related to meat traits in purebred and crossbred Nelore cattle. Pesqui Agropecu Bras 2009;44:1660-6. https://doi.org/10.1590/S0100-204X2009001200015
  47. Curi RA, Chardulo LAL, Giusti J, Silveira AC, Martins CL, de Oliveira HN. Assessment of GH1, CAPN1 and CAST polymorphisms as markers of carcass and meat traits in Bos indicus and Bos taurus-Bos indicus cross beef cattle. Meat Sci 2010;86:915-20. https://doi.org/10.1016/j.meatsci.2010.07.016
  48. Barendse WJ. DNA markers for meat tenderness. United States patent. US 7.625,698 B2 2009.
  49. Enriquez-Valencia CE, Pereira GL, Malheiros JM, et al. Effect of the g.98535683A>G SNP in the CAST gene on meat traits of Nellore beef cattle (Bos indicus) and their crosses with Bos taurus. Meat Sci 2017;123:64-6. https://doi.org/10.1016/j.meatsci.2016.09.003
  50. Taniguchi M, Utsugi T, Oyama K, et al. Genotype of stearoyl-CoA desaturase is associated with fatty acid composition in Japanese Black cattle. Mamm Genome 2004;15:142-8. https://doi.org/10.1007/s00335-003-2286-8
  51. Barton L, Kott T, Bures D, Rehak D, Zahradkova R, Kottova B. The polymorphisms of stearoyl-CoA desaturase (SCD1) and sterol regulatory element binding protein-1 (SREBP-1) genes and their association with the fatty acid profile of muscle and subcutaneous fat in Fleckvieh bulls. Meat Sci 2010;85:15-20. https://doi.org/10.1016/j.meatsci.2009.11.016
  52. Li C, Aldai N, Vinsky M, Dugan MER, McAllister TA. Association analyses of single nucleotide polymorphisms in bovine stearoyl-CoA desaturase and fatty acid synthase genes with fatty acid composition in commercial cross-bred beef steers. Anim Genet 2012;43:93-7. https://doi.org/10.1111/j.1365-2052.2011.02217.x
  53. Aviles C, Polvillo O, Pena F, Juarez M, Martinez AL, Molina A. Associations between DGAT1, FABP4, LEP, RORC, and SCD1 gene polymorphisms and fat deposition in Spanish commercial beef. J Anim Sci 2013;91:4571-7. https://doi.org/10.2527/jas.2013-6402
  54. Wu XX, Yang ZP, Shi XK, et al. Association of SCD1 and DGAT1 SNPs with the intramuscular fat traits in Chinese Simmental cattle and their distribution in eight Chinese cattle breeds. Mol Biol Rep 2012;39:1065-71. https://doi.org/10.1007/s11033-011-0832-0
  55. Jiang Z, Michal JJ, Tobey DJ, Daniels TF, Rule DC, MacNeil MD. Significant associations of stearoyl-CoA desaturase (SCD1) gene with fat deposition and composition in skeletal muscle. Int J Biol Sci 2008;4:345-51. https://doi.org/10.7150/ijbs.4.345
  56. Yuan Z, Li J, Li J, Gao X, Gao H, Xu S. Effects of DGAT1 gene on meat and carcass fatness quality in Chinese commercial cattle. Mol Biol Rep 2013;40:1947-54. https://doi.org/10.1007/s11033-012-2251-2
  57. Trakovicka A, Vavrisinova K, Gabor M, Miluchova M, Kasarda R, Moravcikova N. The impact of diacylglycerol O-acyltransferase 1 gene polymorphism on carcass traits in cattle. J Cent Eur Agric 2019;20:12-8. https://doi.org/10.5513/JCEA01/20.1.2411
  58. Stasio LD, Destefanis G, Brugiapaglia A, Albera A, Rolando A. Polymorphism of the GHR gene in cattle and relationships with meat production and quality. Anim Genet 2005;36:138-40. https://doi.org/10.1111/j.1365-2052.2005.01244.x
  59. Barendse W, Bunch RJ, Harrison BE, Thomas MB. The growth hormone 1 GH1:c.457C>G mutation is associated with intr-amuscular and rump fat distribution in a large sample of Australian feedlot cattle. Anim Genet 2006;37:211-4. https://doi.org/10.1111/j.1365-2052.2006.01432.x
  60. Chmurzynska A. The multigene family of fatty acid-binding proteins (FABPs): function, structure and polymorphism. J Appl Genet 2006;47:39-48. https://doi.org/10.1007/BF03194597
  61. Hoashi S, Hinenoya T, Tanaka A, et al. Association between fatty acid compositions and genotypes of FABP4 and LXR-alpha in Japanese Black cattle. BMC Genet 2008;9:84. https://doi.org/10.1186/1471-2156-9-84
  62. Narukami T, Sasazaki S, Oyama K, Nogi T, Taniguchi M, Mannen H. Effect of DNA polymorphisms related to fatty acid composition in adipose tissue of Holstein cattle. Anim Sci J 2011;82:406-11. https://doi.org/10.1111/j.1740-0929.2010.00855.x
  63. Cho SA, Park TS, Yoon DH, et al. Identification of genetic polymorphisms in FABP3 and FABP4 and putative association with back fat thickness in Korean native cattle. BMB Rep 2008;41:29-34. https://doi.org/10.5483/BMBRep.2008.41.1.029
  64. Michal JJ, Zhang ZW, Gaskins CT, Jiang Z. The bovine fatty acid binding protein 4 gene is significantly associated with marbling and subcutaneous fat depth in Wagyu x Limousin F2 crosses. Anim Genet 2006;37:400-2. https://doi.org/10.1111/j.1365-2052.2006.01464.x
  65. Ohsaki H, Tanaka A, Hoashi S, et al. Effect of SCD and SREBP genotypes on fatty acid composition in adipose tissue of Japanese Black cattle herds. Anim Sci J 2009;80:225-32. https://doi.org/10.1111/j.1740-0929.2009.00638.x
  66. Bhuiyan MSA, Yu SL, Jeon JT, et al. DNA Polymorphisms in SREBF1 and FASN genes affect fatty acid composition in Korean cattle (Hanwoo). Asian-Australas J Anim Sci 2009; 22:765-73. https://doi.org/10.5713/ajas.2009.80573
  67. Abe T, Saburi J, Hasebe H, et al. Novel mutations of the FASN gene and their effect on fatty acid composition in Japanese Black beef. Biochem Genet 2009;47:397-411. https://doi.org/10.1007/s10528-009-9235-5
  68. Holloway JW, Wu J. The red meat consumer. In: Holloway JW, Wu J, editors. Red meat science and production: Volume 1. The consumer and extrinsic meat character. Singapore: Springer; 2019. pp. 1-17. https://doi.org/10.1007/978-981-13-7856-0_1
  69. Hocquette JF, Botreau R, Legrand I, et al. Win-win strategies for high beef quality, consumer satisfaction, and farm efficiency, low environmental impacts and improved animal welfare. Anim Prod Sci 2014;54:1537-48. https://doi.org/10.1071/AN14210
  70. Sarti FM, Ceccobelli S, Lasagna E, et al. Influence of single nucleotide polymorphisms in some candidate genes related to the performance traits in Italian beef cattle breeds. Livest Sci 2019;230:103834. https://doi.org/10.1016/j.livsci.2019.103834
  71. National Beef Cattle Evaluation Consortium. Beef sire selection manual. 2nd ed. 2010.
  72. Gao Y, Zhang R, Hu X, Li N. Application of genomic technologies to the improvement of meat quality of farm animals. Meat Sci 2007;77:36-45. https://doi.org/10.1016/j.meatsci.2007.03.026
  73. Henderson D, Thomas M, Da Y. Bovine genomics from academia to industry. Comp Funct Genomics 2005;6:879823. https://doi.org/10.1002/cfg.467
  74. Holloway JW, Wu J. Humane animal management. In: Holloway JW, Wu J, editors. Red meat science and production: Volume 1. The consumer and extrinsic meat character. Singapore: Springer; 2019. pp. 129-59. https://doi.org/10.1007/978-981-13-7856-0_6
  75. Holloway JW, Wu J. Environmental impact. In: Holloway JW, Wu J, editors. Red meat science and production: Volume 1. The consumer and extrinsic meat character. Singapore: Springer; 2019. pp. 125-8. https://doi.org/10.1007/978-981-13-7856-0_5
  76. Scollan ND, Greenwood PL, Newbold CJ, et al. Future research priorities for animal production in a changing world. Anim Prod Sci 2011;51:1-5. https://doi.org/10.1071/AN10051