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Identification of genes related to intramuscular fat content of pigs using genome-wide association study

  • Won, Sohyoung (Department of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University) ;
  • Jung, Jaehoon (Department of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University) ;
  • Park, Eungwoo (Animal Genomics & Bioinformatics Division, National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Heebal (Department of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University)
  • 투고 : 2017.03.21
  • 심사 : 2017.06.24
  • 발행 : 2018.02.01

초록

Objective: The aim of this study is to identify single nucleotide polymorphisms (SNPs) and genes related to pig IMF and estimate the heritability of intramuscular fat content (IMF). Methods: Genome-wide association study (GWAS) on 704 inbred Berkshires was performed for IMF. To consider the inbreeding among samples, associations of the SNPs with IMF were tested as random effects in a mixed linear model using the genetic relationship matrix by GEMMA. Significant genes were compared with reported pig IMF quantitative trait loci (QTL) regions and functional classification of the identified genes were also performed. Heritability of IMF was estimated by GCTA tool. Results: Total 365 SNPs were found to be significant from a cutoff of p-value <0.01 and the 365 significant SNPs were annotated across 120 genes. Twenty five genes were on pig IMF QTL regions. Bone morphogenetic protein-binding endothelial cell precursor-derived regulator, forkhead box protein O1, ectodysplasin A receptor, ring finger protein 149, cluster of differentiation, tyrosine-protein phosphatase non-receptor type 1, SRY (sex determining region Y)-box 9 (SOX9), MYC proto-oncogene, and macrophage migration inhibitory factor were related to mitogen-activated protein kinase pathway, which regulates the differentiation to adipocytes. These genes and the genes mapped on QTLs could be the candidate genes affecting IMF. Heritability of IMF was estimated as 0.52, which was relatively high, suggesting that a considerable portion of the total variance of IMF is explained by the SNP information. Conclusion: Our results can contribute to breeding pigs with better IMF and therefore, producing pork with better sensory qualities.

키워드

참고문헌

  1. Hocquette JF, Gondret F, Baeza E, et al. IMF in meat-producing animals: development, genetic and nutritional control, and identification of putative markers. Animal 2010;4:303-19. https://doi.org/10.1017/S1751731109991091
  2. Fernandez X, Monin G, Talmant A, et al. Influence of intramuscular fat content on the quality of pig meat-1. Composition of the lipid fraction and sensory characteristics of m. longissimus lumborum. Meat Sci 1999;53:59-65. https://doi.org/10.1016/S0309-1740(99)00037-6
  3. Chen JN, Jiang YZ, Cen WM, et al. Distribution of H-FABP and ACSL4 gene polymorphisms and their associations with IMF and backfat thickness in different pig populations. Genet Mol Res 2014;13:6759-72.
  4. Wang X, Xue C, Wang X, et al. Differential display of expressed genes reveals a novel function of SFRS18 in regulation of intramuscular fat deposition. Int J Biol Sci 2009;5:28-33.
  5. de Koning DJ, Janss LL, Rattink AP, et al. Detection of quantitative trait loci for backfat thickness and Intramuscular Fat Content in pigs (Sus scrofa). Genetics 1999;152:1679-90.
  6. Paszek AA, Wilkie PJ, Flickinger GH, et al. Interval mapping of carcass and meat quality traits in a divergent swine cross. Anim Biotechnol 2009;12:155-65.
  7. Ovilo C, Perez-Enciso M, Barragan C, et al. A QTL for intramuscular fat and backfat thickness is located on porcine chromosome 6. Mamm Genome 2000;11:344-6. https://doi.org/10.1007/s003350010065
  8. Xiang Z, Matthew, S. Genome-wide efficient mixed-model analysis for association studies. Nat Genet 2012;44:821-4. https://doi.org/10.1038/ng.2310
  9. Yang J, Lee SH, Goddard ME, et al. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet 2011;88:76-82. https://doi.org/10.1016/j.ajhg.2010.11.011
  10. Suzuki K, Irie M, Kadowaki H, et al. Genetic parameter estimates of meat quality traits in Duroc pigs selected for average daily gain, longissimus muscle area, backfat thickness, and IMF. J Anim Sci 2005;83:2058-65. https://doi.org/10.2527/2005.8392058x
  11. Larzul C, Lefaucheur L, Ecolan P, et al. Phenotypic and genetic parameters for longissimus muscle fiber characteristics in relation to growth, carcass, and meat quality traits in large white pigs. J Anim Sci 1997;75:3126-37. https://doi.org/10.2527/1997.75123126x
  12. Lo LL, McLaren DG, McKeith FK, et al. Genetic analyses of growth, real-time ultrasound, carcass, and pork quality traits in Duroc and Landrace pigs: II. Heritabilities and correlations. J Anim Sci 1992;70:2387-96. https://doi.org/10.2527/1992.7082387x
  13. Newcom DW, Baas TJ, Schwab CR, et al. Relationship between Backfat depth and its individual layers and intramuscular fat percentage in swine [Internet]. c2004 [cited 2017 Mar 10]. Animal Industry Report. Available from: http://lib.dr.iastate.edu/ans_air/vol650/iss1/103
  14. Pearson G, Robinson F, Gibson TB, et al. Mitogen-activated protein (MAP) kinase pathways: regulation and physiological functions. Endocr Rev 2001;22:153-83.
  15. Sakaue H, Ogawa W, Nakamura T, et al. Role of MAPK phosphatase-1 (MKP-1) in adipocyte differentiation. J Biol Chem 2004;279:39951-7. https://doi.org/10.1074/jbc.M407353200
  16. Aouadi M, Jager J, Laurent K, et al. p38MAP Kinase activity is required for human primary adipocyte differentiation. FEBS Lett 2007;581:5591-6. https://doi.org/10.1016/j.febslet.2007.10.064
  17. Moser M, Binder O, Wu Y, et al. BMPER, a novel endothelial cell precursor-derived protein, antagonizes bone morphogenetic protein signaling and endothelial cell differentiation. Mol Cell Biol 2003;23:5664-79. https://doi.org/10.1128/MCB.23.16.5664-5679.2003
  18. Tseng Y, Tong-Chuan H. Bone morphogenetic proteins and adipocyte differentiation. Cellscience Rev 2007;3:342-60.
  19. Bachner D, Ahrens M, Schroder D, et al. Bmp-2 downstream targets in mesenchymal development identified by subtractive cloning from recombinant mesenchymal progenitors (C3H10T1/2). Dev Dyn 1998; 213:398-411. https://doi.org/10.1002/(SICI)1097-0177(199812)213:4<398::AID-AJA5>3.0.CO;2-T
  20. Wang EA, Israel DI, Kelly S, et al. Bone morphogenetic protein-2 causes commitment and differentiation in C3H10T1/2 and 3T3 cells. Growth Factors 1993;9:57-71. https://doi.org/10.3109/08977199308991582
  21. Nakae J, Kitamura T, Kitamura Y, et al. The forkhead transcription factor Foxo1 regulates adipocyte differentiation. Dev Cell 2003;4:119-29.
  22. Wang Y, Sul HS. Pref-1 regulates mesenchymal cell commitment and differentiation through Sox9. Cell Metab 2009;9:287-302.
  23. Shirakata Y, Ishii K, Yagita H, et al. Distinct subcellular localization and substrate specificity of extracellular signal-regulated kinase in B cells upon stimulation with IgM and CD40. J Immunol 1999;163:6589-97.
  24. Medgyesi D, Hobeika E, Biesen R, et al. The protein tyrosine phosphatase PTP1B is a negative regulator of CD40 and BAFF-R signaling and controls B cell autoimmunity. J Exp Med 2014;211:427-40.
  25. Ukkola O, Rankinen T, Lakka T, et al. Protein tyrosine phosphatase 1B variant associated with fat distribution and insulin metabolism. Obes Res 2005;13:829-34. https://doi.org/10.1038/oby.2005.95
  26. Griffiths, Anthony JF. An introduction to genetic analysis. New York, America: Macmillan; 2005.
  27. Visscher PM, Hill WG, Wray NR. Heritability in the genomics era-concepts and misconceptions. Nat Rev Genet 2008;9:255-66.
  28. Falconer DS. Introduction to quantitative genetics. New York, America: Pearson Education India; 1975.
  29. Daszkiewicz T, Bak T, Denaburski, J. Quality of pork with a different intramuscular fat (IMF) content. Pol J Food Nutr Sci 2005;14:31-5.
  30. Ahn J, Lee J. X chromosome: X inactivation. Nat Educ 2008;1:24.
  31. Tukiainen T, Pirinen M, Sarin AP, et al. Chromosome X-wide association study identifies Loci for fasting insulin and height and evidence for incomplete dosage compensation. PLoS Genet 2014;10:E1004127. https://doi.org/10.1371/journal.pgen.1004127
  32. Visscher PM, Hemani G, Vinkhuyzen AA, et al. Statistical power to detect genetic (co) variance of complex traits using SNP data in unrelated samples. PLoS Genet 2014;10;e1004269.

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