A genome-wide association study of five meat quality traits in Yorkshire pigs

Qian DONG, Huiying LIU, Xinyun LI, Wei WEI, Shuhong ZHAO, Jianhua CAO

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Front. Agr. Sci. Eng. ›› 2014, Vol. 1 ›› Issue (2) : 137-143. DOI: 10.15302/J-FASE-2014014
RESEARCH ARTICLE
RESEARCH ARTICLE

A genome-wide association study of five meat quality traits in Yorkshire pigs

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Abstract

Meat quality is an important trait in the pig industry. To identify genomic regions and haplotype blocks responsible for meat quality traits in pigs, a genome-wide association study was conducted for five traits including intramuscular fat content, pH at 45 min and 24 h, drip loss within 24 h and water-holding capacity in 231 Yorkshire barrows using illumina porcine 60k SNP chips. The results showed that a total of 344 single nucleotide polymorphisms (SNP) were significantly associated with five meat quality traits (P<1×10-4). Moreover, 323 SNPs were within the reported QTL regions, of which 21 were novel. Also, 158 SNPs fell into the proximal region of meat quality related genes. In addition, 25 haplotype blocks based on 116 SNPs were revealed with SNP combination patterns for five traits. Our study added new SNP information for identification of meat quality traits in pigs and will help elucidate the mechanisms of meat quality in pigs.

Keywords

Pig / GWAS / meat quality trait / SNP

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Qian DONG, Huiying LIU, Xinyun LI, Wei WEI, Shuhong ZHAO, Jianhua CAO. A genome-wide association study of five meat quality traits in Yorkshire pigs. Front. Agr. Sci. Eng., 2014, 1(2): 137‒143 https://doi.org/10.15302/J-FASE-2014014

References

[1]
Hammond K, Leitch H W, Rothschild M F, Ruvinsky A. In: Rothschild M F, and Ruvinsky A, ed. The Genetics of the Pig. 1st ed. CAB International, New York Genetic resources and the global programme for their management, 1998, 405–425
[2]
Fan B, Lkhagvadorj S, Cai W, Young J, Smith R M, Dekkers J C, Huff-Lonergan E, Lonergan S M, Rothschild M F. Identification of genetic markers associated with residual feed intake and meat quality traits in the pig. Meat Science, 2010, 84(4): 645–650
CrossRef Pubmed Google scholar
[3]
Franco D, Vazquez J A, Lorenzo J M. Growth performance, carcass and meat quality of the Celta pig crossbred with Duroc and Landrance genotypes. Meat Science, 2014, 96(1): 195–202
CrossRef Pubmed Google scholar
[4]
Srikanchai T, Murani E, Wimmers K, Ponsuksili S. Four loci differentially expressed in muscle tissue depending on water-holding capacity are associated with meat quality in commercial pig herds. Molecular Biology Reports, 2010, 37(1): 595–601
CrossRef Pubmed Google scholar
[5]
Fan B, Glenn K L, Geiger B, Mileham A, Rothschild M F. Investigation of QTL regions on Chromosome 17 for genes associated with meat color in the pig. Journal of Animal Breeding and Genetics, 2008, 125(4): 240–247
CrossRef Pubmed Google scholar
[6]
Zhang M, Wang D, Geng Z, Bian H, Liu F, Zhu Y, Xu W. The level of heat shock protein 90 in pig Longissimus dorsi muscle and its relationship with meat pH and quality. Food Chemistry, 2014, 165: 337–341
CrossRef Pubmed Google scholar
[7]
Ma J, Yang J, Zhou L, Zhang Z, Ma H, Xie X, Zhang F, Xiong X, Cui L, Yang H, Liu X, Duan Y, Xiao S, Ai H, Ren J, Huang L. Genome-wide association study of meat quality traits in a White Duroc×Erhualian F2 intercross and Chinese Sutai pigs. PLoS ONE, 2013, 8(5): e64047
CrossRef Pubmed Google scholar
[8]
Luo W, Cheng D, Chen S, Wang L, Li Y, Ma X, Song X, Liu X, Li W, Liang J, Yan H, Zhao K, Wang C, Wang L, Zhang L. Genome-wide association analysis of meat quality traits in a porcine Large White × Minzhu intercross population. International Journal of Biological Sciences, 2012, 8(4): 580–595
CrossRef Pubmed Google scholar
[9]
Milan D, Jeon J T, Looft C, Amarger V, Robic A, Thelander M, Rogel-Gaillard C, Paul S, Iannuccelli N, Rask L, Ronne H, Lundström K, Reinsch N, Gellin J, Kalm E, Roy P L, Chardon P, Andersson L. A mutation in PRKAG3 associated with excess glycogen content in pig skeletal muscle. Science, 2000, 288(5469): 1248–1251
CrossRef Pubmed Google scholar
[10]
Lopez-Buesa P, Burgos C, Galve A, Varona L. Joint analysis of additive, dominant and first-order epistatic effects of four genes (IGF2, MC4R, PRKAG3 and LEPR) with known effects on fat content and fat distribution in pigs. Animal Genetics, 2014, 45(1): 133–137
Pubmed
[11]
Ramos A M, Crooijmans R P M A, Affara N A, Amaral A J, Archibald A L, Beever J E, Bendixen C, Churcher C, Clark R, Dehais P, Hansen M S, Hedegaard J, Hu Z L, Kerstens H H, Law A S, Megens H J, Milan D, Nonneman D J, Rohrer G A, Rothschild M F, Smith T P, Schnabel R D, Van Tassell C P, Taylor J F, Wiedmann R T, Schook L B, Groenen M A. Design of a high density SNP genotyping assay in the pig using SNPs identified and characterized by next generation sequencing technology. PLoS ONE, 2009, 4(8): e6524
CrossRef Pubmed Google scholar
[12]
Wierbicki E, Deatherage F E. Water content of meats, determination of water-holding capacity of fresh meats. Journal of Agricultural and Food Chemistry, 1958, 6(5): 387–392
CrossRef Google scholar
[13]
Corrêa C C, Forato L A, Colnago L A. High-throughput non-destructive nuclear magnetic resonance method to measure intramuscular fat content in beef. Analytical and Bioanalytical Chemistry, 2009, 393(4): 1357–1360
CrossRef Pubmed Google scholar
[14]
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira M A, Bender D, Maller J, Sklar P, de Bakker P I, Daly M J, Sham P C. PLINK: a tool set for whole-genome association and population-based linkage analyses. American Journal of Human Genetics, 2007, 81(3): 559–575
CrossRef Pubmed Google scholar
[15]
Hu Z L, Park C A, Wu X L, Reecy J M. Animal QTLdb: an improved database tool for livestock animal QTL/association data dissemination in the post-genome era. Nucleic Acids Research, 2013, 41(D1): D871–D879
CrossRef Pubmed Google scholar
[16]
McLaren W, Pritchard B, Rios D, Chen Y, Flicek P, Cunningham F. Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor. Bioinformatics, 2010, 26(16): 2069–2070
CrossRef Pubmed Google scholar
[17]
Qin Z S, Niu T, Liu J S. Partition-ligation-expectation-maximization algorithm for haplotype inference with single-nucleotide polymorphisms. American Journal of Human Genetics, 2002, 71(5): 1242–1247
CrossRef Pubmed Google scholar
[18]
Barrett J C, Fry B, Maller J, Daly M J. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics, 2005, 21(2): 263–265
CrossRef Pubmed Google scholar
[19]
Larzul C, Lefaucheur L, Ecolan P, Gogué J, Talmant A, Sellier P, Le Roy P, Monin G. Phenotypic and genetic parameters for longissimus muscle fiber characteristics in relation to growth, carcass, and meat quality traits in large white pigs. Journal of Animal Science, 1997, 75(12): 3126–3137
Pubmed
[20]
Horák P, Stratil A, Svatonová M, Mastalková L, Patáková J, Van Poucke M, Bartenschlager H, Peelman L J, Geldermann H. Polymorphism screening and mapping of nine meat performance-related genes in the pig. Animal Genetics, 2010, 41(3): 334–335
CrossRef Pubmed Google scholar
[21]
Lee K T, Byun M J, Kang K S, Hwang H, Park E W, Kim J M, Kim T H, Lee S H. Single nucleotide polymorphism association study for backfat and intramuscular fat content in the region between SW2098 and SW1881 on pig chromosome 6. Journal of Animal Science, 2012, 90(4): 1081–1087
CrossRef Pubmed Google scholar
[22]
Duan Y Y, Ma J W, Yuan F, Huang L B, Yang K X, Xie J P, Wu G Z, Huang L S. Genome-wide identification of quantitative trait loci for pork temperature, pH decline, and glycolytic potential in a large-scale White Duroc × Chinese Erhualian resource population. Journal of Animal Science, 2009, 87(1): 9–16
CrossRef Pubmed Google scholar
[23]
Liu G, Jennen D G, Tholen E, Juengst H, Kleinwächter T, Hölker M, Tesfaye D, Un G, Schreinemachers H J, Murani E, Ponsuksili S, Kim J J, Schellander K, Wimmers K. A genome scan reveals QTL for growth, fatness, leanness and meat quality in a Duroc-Pietrain resource population. Animal Genetics, 2007, 38(3): 241–252
CrossRef Pubmed Google scholar
[24]
Sanchez M P, Tribout T, Iannuccelli N, Bouffaud M, Servin B, Tenghe A, Dehais P, Muller N, Del Schneider M P, Mercat M J, Rogel-Gaillard C, Milan D, Bidanel J P, Gilbert H. A genome-wide association study of production traits in a commercial population of Large White pigs: evidence of haplotypes affecting meat quality. Genetics Selection Evolution, 2014, 46(1): 12
CrossRef Pubmed Google scholar
[25]
Horii T, Morita S, Kimura M, Hatada I. Epigenetic regulation of adipocyte differentiation by a Rho guanine nucleotide exchange factor, WGEF. PLoS ONE, 2009, 4(6): e5809
CrossRef Pubmed Google scholar

Acknowledgments

This work was supported by grants from the National Key Basic Research Program of China (2012CB124702), National Outstanding Youth Foundation of the National Natural Science Foundation of China (31025026), and the Fundamental Research Funds for the Central Universities.
Supplementary materialsƒThe online version of this article at http://dx.doi.org/10.15302/J-FASE-2014014 contains supplementary materials (Appendix A and B).
Compliance with ethics guidelinesƒQian Dong, Huiying Liu, Xinyun Li, Wei Wei, Shuhong Zhao and Jianhua Cao declare that they have no conflict of interest or financial conflicts to disclose.ƒAll applicable institutional and national guidelines for the care and use of animals were followed.

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