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Quantitative Trait Locus and Association Studies affecting Meat Colors in Chicken : Review
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  • Journal title : Korean Journal of Poultry Science
  • Volume 42, Issue 4,  2015, pp.315-325
  • Publisher : The Korean Society of Poultry Science
  • DOI : 10.5536/KJPS.2015.42.4.315
 Title & Authors
Quantitative Trait Locus and Association Studies affecting Meat Colors in Chicken : Review
Seo, Dongwon; Lee, Jun Heon;
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 Abstract
Recently, livestock breeding is more focused on the meat quality rather than meat quantity, mainly due to the improvement of consumers` income. Among the meat quality traits, meat color is one of very important traits because meat color is the first selection criterion from the consumers in the market. Most of the economically important traits have continuous variations and these are called quantitative traits. the genomic locations affecting these traits are called quantitative trait locus (QTL), which is mostly controlled by many genes having small effects. In this study, the recent QTL and candidate gene studies were reviewed in order to meet the consumers` demand for the future market. In the chicken QTL database, three traits are related with meat colors, namely breast color (Bco), meat color (Mco), drip loss (DL) and pH. The identified number of QTLs is 33 from 13 chromosomal regions. In these QTL regions, 14 candidate genes were identified; Eight for meat color (APP, BCMO1, COL1A2, FTO, KPNA2, PSMD12, G0S2, FTSJ3), two for drip loss (AGRP, FTO) and four for pH (GALNT1, PCDH19, DIAPH1, SPP2). These QTLs and candidate genes need to be confirmed and fine mapping is ultimately needed for identification of causative variations. The recently developed chicken resource population using Korean native chicken can be used for the improvement of meat quality traits, which increase the value that needed in the chicken industry.
 Keywords
quantitative trait loci;candidate gene;meat color;Korean native chicken;
 Language
Korean
 Cited by
 References
1.
Abril M, Campo MM, Onenc A, Sanudo C, Alberti P, Negueruela AI. 2001 Beef colour evolution as a function of ultimate pH. Meat Sci. 58:69-78. crossref(new window)

2.
Andersen HJ, Oksbjerg N, Young JF, Therkildsen M 2005 Feeding and meat quality-A future approach. Meat Sci. 70:543-554. crossref(new window)

3.
Bai Y, Sun G, Kang X, Han R, Tian Y, Li H, Wei Y, Zhu S 2012 Polymorphisms of the pro-opiomelanocortin and agouti-related protein genes and their association with chicken production traits. Mol Biol Rep. 39:7533-7539. crossref(new window)

4.
Barbut S, Sosnicki AA, Lonergan SM, Knapp T, Ciobanu DC, Gatcliffe LJ, Huff-Lonergan E, Wilson EW 2008 Progress in reducing the pale, soft and exudative (PSE) problem in pork and poultry meat. Meat Sci. 79:46-63. crossref(new window)

5.
Chen Y, Gondro C, Quinn K, Herd RM, Parnell PF, Vanselow B 2011 Global gene expression profiling reveals genes expressed differentially in cattle with high and low residual feed intake. Anim Genet. 42: 475-490. crossref(new window)

6.
Choe JH, Jung S, Yun HJ 2010 Article: Differences in the quality characteristics between commercial Korean native chickens and broilers. Korean J Food Sci Anim Resour. 30:13-19. crossref(new window)

7.
Dunn IC, Meddle SL, Wilson PW, Wardle CA, Law AS, Bishop VR, Hindar C, Robertson GW, Burt DW, Ellison SJH, Morrice DM, Hocking PM 2013 Decreased expression of the satiety signal receptor CCKAR is responsible for increased growth and body weight during the domestication of chickens. American J Physiol Endocrinol Metab. 304:E909-E921. crossref(new window)

8.
Fan B, Lkhagvadorj S, Cai W, Young J, Smith RM, Dekkers JCM, Huff-Lonergan E, Lonergan SM, Rothschild MF 2010 Identification of genetic markers associated with residual feed intake and meat quality traits in the pig. Meat Sci. 84:645-650. crossref(new window)

9.
Fletcher DL 1999 Broiler breast meat color variation, pH, and texture. Poult Sci. 78:1323-1327. crossref(new window)

10.
Fontanesi L, Scotti E, Buttazzoni L, Davoli R, Russo V 2009 The porcine fat mass and obesity associated (FTO) gene is associated with fat deposition in Italian Duroc pigs. Anim Genet. 40:90-93. crossref(new window)

11.
Goate A, Chartier-Harlin MC, Mullan M, Brown J, Crawford F, Fidani L, Giuffra L, Haynes A, Irving N, James L 1991 Segregation of a missense mutation in the amyloid precursor protein gene with familial Alzheimer's disease. Nature. 349:704-706. crossref(new window)

12.
Groenen MAM, Cheng HH, Bumstead N, Benkel BF, Briles WE, Burke T, Burt DW, Crittenden LB, Dodgson J, Hillel J, Lamont S, de Leon AP, Soller M, Takahashi H, Vignal A 2000 A consensus linkage map of the chicken genome. Genome Res. 10:137-147.

13.
Groenen MAM, Megens HJ, Zare Y, Warren WC, Hillier LW, Crooijmans RPMA, Vereijken A, Okimoto R, Muir WM, Cheng HH 2011 The development and characterization of a 60K SNP chip for chicken. BMC Genomics. 12:274. crossref(new window)

14.
Groenen MAM, Wahlberg P, Foglio M, Cheng HH, Megens HJ, Crooijmans RPMA, Besnier F, Lathrop M, Muir WM, Wong GKS, Gut I, Andersson L 2009 A high-density SNP-based linkage map of the chicken genome reveals sequence features correlated with recombination rate. Genome Res. 19:510-519.

15.
Gu X, Feng C, Ma L, Song C, Wang Y, Da Y, Li H, Chen K, Ye S, Ge C, Hu X, Li N 2011 Genome-wide association study of body weight in chicken F2 resource population. Plos One. 6:e21872. crossref(new window)

16.
Guo B, Kongsuwan K, Greenwood PL 2014 A gene expression estimator of intramuscular fat percentage for use in both cattle and sheep. J Anim Sci Biotechnol. 16:35.

17.
Harford ID, Pavlidis HO, Anthony NB 2014 Divergent selection for muscle color in broilers. Poult Sci. 93:1059-1066. crossref(new window)

18.
Hillier LW, Miller W, Birney E, Warren W, Hardison RC, Ponting CP, Bork P, Burt DW, Groenen MAM, Delany ME, Dodgson JB, Chinwalla AT, Cliften PF, Clifton SW, Delehaunty KD, Fronick C et al. 2004 Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution. Nature. 432:695-716. crossref(new window)

19.
Huff-Lonergan E, Lonergan SM. 2005. Mechanisms of waterholding capacity of meat: The role of postmortem biochemical and structural changes. Meat Sci. 71:194-204. crossref(new window)

20.
Jeon HJ, Choe JH, Jung Y, Kruk ZA, Lim DG, Jo C 2010 Comparison of the chemical composition, textural characteristics, and sensory properties of north and south Korean native chickens and commercial broilers. Korean J Food Sci Anim Resour. 30:171-178. crossref(new window)

21.
Jia X, Nie Q, Lamont SJ, Zhang X 2012 Variation in sequence and expression of the avian FTO, and association with glucose metabolism, body weight, fatness and body composition in chickens. Int J Obes. 36:1054-1061. crossref(new window)

22.
Joo ST, Kauffman RG, Kim BC, KIM CJ 1995 The relationship between color and water-holding capacity in postrigor porcine longissimus muscle. J Muscle Foods. 6:211-226. crossref(new window)

23.
Kranis A, Gheyas AA, Boschiero C, Turner F, Yu L, Smith S, Talbot R, Pirani A, Brew F, Kaiser P, Hocking PM, Fife M, Salmon N, Fulton J, Strom TM, Haberer G, Weigend S, Preisinger R, Gholami M, Qanbari S, Simianer H, Watson KA, Woolliams JA, Burt DW 2013 Development of a high density 600K SNP genotyping array for chicken. BMC Genomics. 14:59. crossref(new window)

24.
Le Bihan-Duval E, Nadaf J, Berri C, Pitel F, Graulet B, Godet E, Leroux SY, Demeure O, Lagarrigue S, Duby C 2011 Detection of a cis eQTL controlling BMCO1 gene expression leads to the identification of a QTG for chicken breast meat color. Plos One. 6:e14825. crossref(new window)

25.
Li Y, Xu Z, Li H, Xiong Y, Zuo B 2010 Differential transcriptional analysis between red and white skeletal muscle of Chinese Meishan pigs. Int J Biol Sci. 27:350-360.

26.
Liu R, Sun Y, Zhao G, Wang F, Wu D, Zheng M, Chen J, Zhang L, Hu Y, Wen J 2013 Genome-wide association study identifies loci and candidate genes for body composition and meat quality traits in Beijing-You chickens. Plos One. 18:e61172.

27.
Mancini RA, Hunt MC 2005 Current research in meat color. Meat Sci. 71:100-121. crossref(new window)

28.
Nadaf J, Gilbert H, Pitel F, Berri CM, Feve K, Beaumont C, Duclos MJ, Vignal A, Porter TE, Simon J 2007 Identification of QTL controlling meat quality traits in an F2 cross between two chicken lines selected for either low or high growth rate. BMC Genomics. 8:155. crossref(new window)

29.
Nonneman DJ, Brown-Brandl T, Jones SA, Wiedmann RT, Rohrer GA 2012 A defect in dystrophin causes a novel porcine stress syndrome. BMC Genomics. 13:233. crossref(new window)

30.
Qiao M, Fletcher D, Smith D, Northcutt J 2001 The effect of broiler breast meat color on pH, moisture, water-holding capacity, and emulsification capacity. Poult Sci. 80:676-680. crossref(new window)

31.
Rabie TSKM, Crooijmans RPMA, Bovenhuis H, Vereijken ALJ, Veenendaal T, van der Poel JJ, Van Arendonk JAM, Pakdel A, Groenen MAM 2005 Genetic mapping of quantitative trait loci affecting susceptibility in chicken to develop pulmonary hypertension syndrome. Anim Genet. 36:468-476. crossref(new window)

32.
Ritter MJ, Ellis M, Hollis GR, McKeith FK, Orellana DG, Van Genugten P, Curtis SE, Schlipf JM 2008 Frequency of the HAL-1843 mutation of the ryanodine receptor gene in dead and nonambulatory-noninjured pigs on arrival at the packing plant. J Anim Sci. 86:511-514.

33.
Sammel LM, Hunt MC, Kropf DH, Hachmeister KA, Kastner CL, Johnson DE 2002 Influence of chemical characteristics of beef inside and outside semimembranosus on color traits. J Food Sci. 67:1323-1330. crossref(new window)

34.
Seo DW, Park HB, Jung S, Cahyadi M, Choi NR, Jin S, Heo KN, Jo C, Lee JH 2015 QTL analyses of general compound, color, and pH traits in breast and thigh muscles in Korean native chicken. Livestock Sci. 182:145-150. crossref(new window)

35.
Sun Y, Zhao G, Liu R, Zheng M, Hu Y, Wu D, Zhang L, Li P, Wen J 2013 The identification of 14 new genes for meat quality traits in chicken using a genome-wide association study. BMC Genomics. 14:458. crossref(new window)

36.
Wallis JW, Aerts J, Groenen MAM, Crooijmans RPMA, Layman D, Graves TA, Scheer DE, Kremitzki C, Fedele MJ, Mudd NK, Cardenas M, Higginbotham J, Carter J, McGrane R et al. 2004 A physical map of the chicken genome. Nature. 432:761-764. crossref(new window)

37.
Wright D, Kerje S, Lundstrom K, Babol J, Schutz K, Jensen P, Andersson L 2006 Quantitative trait loci analysis of egg and meat production traits in a Red Junglefowl ${\time}$ White Leghorn cross. Anim Genet. 37:529-534. crossref(new window)

38.
Yoshida M, Ishikawa A, Goto T, Goto N, Nishibori M, Tsudzuki M 2013 QTL mapping for meat color traits using the F2 intercross between the Oh-Shamo (Japanese Large Game) and White Leghorn chickens. J Poult Sci. 50:198-205. crossref(new window)

39.
Zeng F, Xie L, Pang X, Liu W, Nie Q, Zhang X 2011 Complementary deoxyribonucleic acid cloning of avian G0/G1 switch gene 2, and its expression and association with production traits in chicken. Poult Sci. 90:1548-1554. crossref(new window)

40.
Zhao C, Tian F, Yu Y, Luo J, Mitra A 2012 Functional genomic analysis of variation on beef tenderness induced by acute stress in Angus cattle. Comp Funct Genomics. 2012: 756284.