Molecular Biology Reports

, Volume 41, Issue 7, pp 4455–4462 | Cite as

Genetic analysis of an F2 intercross between two strains of Japanese quail provided evidence for quantitative trait loci affecting carcass composition and internal organs

  • Hasan Moradian
  • Ali K. Esmailizadeh
  • Saeed S. Sohrabi
  • Ehsan Nasirifar
  • Nahid Askari
  • Mohammad Reza Mohammadabadi
  • Amin Baghizadeh


The purpose of this study was to identify genomic regions, quantitative trait loci (QTL), affecting carcass traits on chromosome 1 in an F2 population of Japanese quail. For this purpose, two white and wild strains of Japanese quail (16 birds) were crossed reciprocally and F1 generation (34 birds) was created. The F2 generation was produced by intercrossing of the F1 birds. Phenotypic data including carcass weight, internal organs and carcass parts were collected on F2 animals (422 birds). The total mapping population (472 birds) was genotyped for 8 microsatellite markers on chromosome 1. QTL analysis was performed with interval mapping method applying the line-cross model. Significant QTL were identified for breast weight at 0 (P < 0.01), 172 (P < 0.05) and 206 (P < 0.01), carcass weight at 91 (P < 0.05), carcass fatness at 0 (P < 0.01), pre-stomach weight at 206 (P < 0.01) and uropygial weight gland at 197 (P < 0.01) cM on chromosome 1. There was also evidence for imprinted QTL affecting breast weight (P < 0.01) on chromosome 1. The proportion of the F2 phenotypic variation explained by the significant additive, dominance and imprinted QTL effects ranged from 1.0 to 7.3 %, 1.2 to 3.3 % and 1.4 to 2.2 %, respectively.


Carcass traits Coturnix japonica F2 design Microsatellite markers QTL mapping 



This research was funded by the Institute of Science, High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran (Research project number 1/1142). The authors are grateful to the staff of the Livestock Research Centre and students in the Department of Animal Science at Shahid Bahonar University of Kerman for their help in collecting the phenotypic data and blood samples.


  1. 1.
    Minvielle F, Kayang BB, Inoue-Murayama M, Miwa M, Vignal A, Gourichon D, Neau A, Monvoisin JL, Ito S (2005) Microsatellite mapping of QTL affecting growth, feed consumption, egg production, tonic immobility and body temperature of Japanese quail. BMC Genomics 6:87PubMedCentralCrossRefPubMedGoogle Scholar
  2. 2.
    Mills AD, Crawford LL, Domjan M, Faure JM (1997) The behavior of the Japanese or domestic quail Coturnix japonica. Neurosci Biobehav Rev 21:261–281CrossRefPubMedGoogle Scholar
  3. 3.
    Kikuchi S, Fujima D, Sasazaki S, Tsuji S, Mizutani M, Fujiwara A, Mannen H (2005) Construction of a genetic linkage map of Japanese quail (Coturnix japonica) based on AFLP and microsatellite markers. Anim Genet 36:227–231CrossRefPubMedGoogle Scholar
  4. 4.
    Lin CY, Ho CH, Hsieh YH, Kikuchi T (2002) Adeno-associated virus-mediated transfer of human acid maltase gene results in a transient reduction of glycogen accumulation in muscle of Japanese quail with acid maltase deficiency. Gene Ther 9:554–563CrossRefPubMedGoogle Scholar
  5. 5.
    Balthazart J, Baillien M, Charlier TD, Cornil CA, Ball GF (2003) The neuroendocrinology of reproductive behavior in Japanese quail. Domest Anim Endocrinol 25:69–82CrossRefPubMedGoogle Scholar
  6. 6.
    Odeh FM, Cadd GG, Satterlee DG (2003) Genetic characterization of stress responsiveness in Japanese quail. 1. Analyses of line effects and combining abilities by diallel crosses. Poult Sci 82:25–30CrossRefPubMedGoogle Scholar
  7. 7.
    Creuzet S, Schuler B, Couly G, Le Douarin NM (2004) Reciprocal relationships between Fgf8 and neural crest cells in facial and forebrain development. Proc Natl Acad Sci USA 101:4843–4847PubMedCentralCrossRefPubMedGoogle Scholar
  8. 8.
    Kawahara T, Saito K (1976) Genetic parameters of organ and body weights in the Japanese quail. Poult Sci 55:1247–1252CrossRefPubMedGoogle Scholar
  9. 9.
    Toelle VD, Havenstein GB, Nestor KE, Harvey WR (1991) Genetic and phenotypic relationships in Japanese quail. 1. Body weight, carcass, and organ measurements. Poult Sci 70:1679–1688CrossRefPubMedGoogle Scholar
  10. 10.
    Minvielle E, Gandemer G, Maeda Y, Leborgne C, Hirigoyen E, Boulay M (2000) Carcase characteristics of a heavy Japanese quail line under introgression with the roux gene. Br Poult Sci 41:41–45CrossRefPubMedGoogle Scholar
  11. 11.
    Meuwissen THE, Goddard ME (1996) The use of marker haplotypes in animal breeding schemes. Genet Sel Evol 28:161–176PubMedCentralCrossRefGoogle Scholar
  12. 12.
    Piyasatian N, Fernando RL, Dekkers JC (2007) Genomic selection for marker-assisted improvement in line crosses. Theor Appl Genet 115:665–674CrossRefPubMedGoogle Scholar
  13. 13.
    Uemoto Y, Sato S, Odawara S, Nokata H, Oyamada Y, Taguchi Y, Yanai S, Sasaki O, Takahashi H, Nirasawa K, Kobayashi E (2009) Genetic mapping of quantitative trait loci affecting growth and carcass traits in F2 intercross chickens. Poult Sci 88:477–482CrossRefPubMedGoogle Scholar
  14. 14.
    Andersson L, Georges M (2004) Domestic-animal genomics: deciphering the genetics of complex traits. Nat Rev Genet 5:202–212CrossRefPubMedGoogle Scholar
  15. 15.
    Tercic D, Holcman A, Dovc P, Morrice DR, Burt DW, Hocking PM, Horvat S (2009) Identification of chromosomal regions associated with growth and carcass traits in an F3 full sib intercross line originating from a cross of chicken lines divergently selected on body weight. Anim Genet 40:743–748CrossRefPubMedGoogle Scholar
  16. 16.
    Jennen DG, Vereijken AL, Bovenhuis H, Crooijmans RP, Veenendaal A, van der Poel JJ, Groenen MA (2004) Detection and localization of quantitative trait loci affecting fatness in broilers. Poult Sci 83:295–301CrossRefPubMedGoogle Scholar
  17. 17.
    McElroy JP, Kim JJ, Harry DE, Brown SR, Dekkers JC, Lamont SJ (2006) Identification of trait loci affecting white meat percentage and other growth and carcass traits in commercial broiler chickens. Poult Sci 85:593–605CrossRefPubMedGoogle Scholar
  18. 18.
    Esmailizadeh AK, Baghizadeh A, Ahmadizadeh M (2012) Genetic mapping of quantitative trait loci affecting bodyweight on chromosome 1 in a commercial strain of Japanese quail. Anim Prod Sci 52:64–66CrossRefGoogle Scholar
  19. 19.
    Sohrabi SS, Esmailizadeh AK, Baghizadeh A, Moradian H, Mohammadabadi MR, Askari N, Nasirifar E (2012) Quantitative trait loci underlying hatching weight and growth traits in an F2 intercross between two strains of Japanese quail. Anim Prod Sci 52:1012–1018CrossRefGoogle Scholar
  20. 20.
    Miller SA, Dykes DD, Polesky HF (1988) A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res 16:1215PubMedCentralCrossRefPubMedGoogle Scholar
  21. 21.
    Zhan A, Bao Z, Lu W, Hu X, Peng W, Wang M, Hu J (2007) Development and characterization of 45 novel microsatellite markers for sea cucumber (Apostichopus japonicus). Mol Ecol Notes 7:1345–1348CrossRefGoogle Scholar
  22. 22.
    Bassam BJ, Caetano-Anollés G, Gresshoff PM (1991) Fast and sensitive silver staining of DNA in polyacrylamide gels. Anal Biochem 196:80–83CrossRefPubMedGoogle Scholar
  23. 23.
    Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2006) Asreml [computer program]. Version 2.0. VSN International Ltd, Hemel HempsteadGoogle Scholar
  24. 24.
    Haley CS, Knott SA, Elsen JM (1994) Mapping quantitative trait loci in crosses between outbred lines using least squares. Genetics 136:1195–1207PubMedCentralPubMedGoogle Scholar
  25. 25.
    Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–971PubMedCentralPubMedGoogle Scholar
  26. 26.
    Jennen DG, Vereijken AL, Bovenhuis H, Crooijmans RM, van der Poel JJ, Groenen MA (2005) Confirmation of quantitative trait loci affecting fatness in chickens. Genet Sel Evol 37:215–228PubMedCentralCrossRefPubMedGoogle Scholar
  27. 27.
    Zhou H, Deeb N, Evock-Clover CM, Ashwell CM, Lamont SJ (2006) Genome-wide linkage analysis to identify chromosomal regions affecting phenotypic traits in the chicken. II. Body composition. Poult Sci 85:1712–1721CrossRefPubMedGoogle Scholar
  28. 28.
    Atzmon G, Ronin YI, Korol A, Yonash N, Cheng H, Hillel J (2006) QTLs associated with growth traits and abdominal fat weight and their interactions with gender and hatch in commercial meat-type chickens. Anim Genet 37:352–358CrossRefPubMedGoogle Scholar
  29. 29.
    Nadaf J, Pitel F, Gilbert H, Duclos MJ, Vignoles F, Beaumont C, Vignal A, Porter TE, Cogburn LA, Aggrey SE, Simon J, Le Bihan-Duval E (2009) QTL for several metabolic traits map to loci controlling growth and body composition in an F2 intercross between high- and low-growth chicken lines. Physiol Genomics 38:241–249CrossRefPubMedGoogle Scholar
  30. 30.
    Van Kaam JB, Groenen MA, Bovenhuis H, Veenendaal A, Vereijken AL, Van Arendonk JA (1999) Whole genome scan in chickens for quantitative trait loci affecting carcass traits. Poult Sci 78:1091–1099CrossRefPubMedGoogle Scholar
  31. 31.
    De Koning DJ, Haley CS, Windsor D, Hocking PM, Griffin H, Morris A, Vincent J, Burt DW (2004) Segregation of QTL for production traits in commercial meat-type chickens. Genet Res 83:211–220CrossRefPubMedGoogle Scholar
  32. 32.
    Andersson L (2001) Genetic dissection of phenotypic diversity in farm animals. Nat Rev Genet 2:130–138CrossRefPubMedGoogle Scholar
  33. 33.
    Barlow DP (1995) Gametic imprinting in mammals. Science 270:1610–1613CrossRefPubMedGoogle Scholar
  34. 34.
    Sohrabi S, Esmailizadeh AK, Moradian H (2011) Study of the reciprocal cross effects on carcass traits in the F2 birds from an intercross between two strains in Japanese quail. The First National Seminar of Animal Production in the Hot Climates, Kerman, pp 1486–1489Google Scholar
  35. 35.
    Hager R, Cheverud JM, Wolf JB (2009) Relative contribution of additive, dominance, and imprinting effects to phenotypic variation in body size and growth between divergent selection lines of mice. Evolution 63:1118–1128CrossRefPubMedGoogle Scholar
  36. 36.
    Kayang BB, Vignal A, Inoue-Murayama M, Miwa M, Monvoisin JL, Ito S, Minvielle F (2004) A first-generation microsatellite linkage map of the Japanese quail. Anim Genet 35:195–200CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Hasan Moradian
    • 1
  • Ali K. Esmailizadeh
    • 1
  • Saeed S. Sohrabi
    • 1
  • Ehsan Nasirifar
    • 2
  • Nahid Askari
    • 3
  • Mohammad Reza Mohammadabadi
    • 1
  • Amin Baghizadeh
    • 3
  1. 1.Department of Animal Science, Faculty of AgricultureShahid Bahonar University of KermanKermanIran
  2. 2.Department of Animal Science, Science and Research BranchIslamic Azad UniversityTehranIran
  3. 3.Department of Biotechnology, Institute of Science, High Technology and Environmental SciencesGraduate University of Advanced TechnologyKermanIran

Personalised recommendations