Czech J. Anim. Sci., 2016, 61(6):290-297 | DOI: 10.17221/113/2014-CJAS

A chromosome-wide QTL mapping on chromosome 2 to identify loci affecting live weight and carcass traits in F2 population of Japanese quailOriginal Paper

E. Nasirifar1, M. Talebi1, A. Esmailizadeh2,3, H. Moradian3, S.S. Sohrabi3, N. Askari4
1 Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, P.R. China
3 Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
4 National Institute for Genetic Engineering and Biotechnology, Tehran, Iran

The Japanese quail (Coturnix japonica) is a considerable species which is often used for animal modelling in breeding researches. This study aims to detect quantitative trait loci (QTL) underlying growth and carcass traits in Japanese quail. A three-generation resource population was developed using wild and white Japanese quail strains. The total mapping population consisted of 472 birds. Eight pairs of white and wild birds were mated reciprocally and 34 F1 birds were generated. The F1 birds were intercrossed to produce F2 offspring (422 birds). All of the animals from three generations were genotyped for four microsatellite markers on chromosome 2 in quail. QTL analysis was performed with the Least Squares interval mapping method. The results indicated significant QTL for breast weight, carcass weight, pre-stomach weight, pancreas percentage, head weight, intestine weight, spleen weight, and heart weight. There was also evidence for dominance QTL affecting pre-stomach weight, percentage of pre-stomach weight, and percentage of breast on chromosome 2. The proportion of F2 phenotypic variation explained by significant additive and dominance QTL effects ranged from 1.06 to 3.33% and 0.71 to 4.36%, respectively. There was no evidence for imprinting effect on the studied traits.

Keywords: DNA markers; growth traits; QTLs

Published: June 30, 2016  Show citation

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Nasirifar E, Talebi M, Esmailizadeh A, Moradian H, Sohrabi SS, Askari N. A chromosome-wide QTL mapping on chromosome 2 to identify loci affecting live weight and carcass traits in F2 population of Japanese quail. Czech J. Anim. Sci. 2016;61(6):290-297. doi: 10.17221/113/2014-CJAS.
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    References

    1. Abasht B., Pitel F., Lagarrigue S., Le Bihan-Duval E., Le Roy P., Demeure O., Vignoles F., Simon J., Cogburn L., Aggrey S., Vignal A., Douaire M. (2006): Fatness QTL on chicken chromosome 5 and interaction with sex. Genetics Selection Evolution, 38, 297-311. Go to original source... Go to PubMed...
    2. Atzmon G., Blum S., Feldman M., Cahaner A., Lavi U., Hillel J. (2008): QTLs detected in a multigenerational resource chicken population. Journal of Heredity, 99, 528-538. Go to original source... Go to PubMed...
    3. Baron E.E., Moura A.S., Ledur M.C., Pinto L.F., Boschiero C., Ruy D.C., Nones K., Zanella E.L., Rosario M.F., Burt D.W., Coutinho L.L. (2010): QTL for percentage of carcass and carcass parts in a broiler × layer cross. Animal Genetics, 42, 117-124. Go to original source... Go to PubMed...
    4. Bassam B.J., Caetano-Anolles G., Gresshoff P.M. (1991): Fast and sensitive silver staining of DNA in polyacrylamide gels. Analytical Biochemistry, 196, 80-83. Go to original source... Go to PubMed...
    5. Beaumont C., Roussot O., Feve K., Plisson-Petit F., Leroux S., Pitel F., Faure J.M., Mills A.D., Guemene D., Leterrier C., Sellier N., Mignon-Grasteau S., Sellier N., LeRoy P., Perez-Enciso M., Vignal A. (2005): A genome scan with AFLPTM markers to detect fearfulness-related QTLs in Japanese quail. Animal Genetics, 36, 401-407. Go to original source... Go to PubMed...
    6. Bonafe C.M., Torres R.A., Teixeira R.B., Silva F.G., Sousa M.F., Leite C.D.S. (2011): Heterogeneity of residual variance in random regression models in the description of meat quail growth. Brazilian Journal of Animal Science, 40, 2129-2134. Go to original source...
    7. Botstein D., White R.L., Skolnick M., Davis R.W. (1980): Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics, 32, 314-331.
    8. Churchill G.A., Doerge R.W. (1994): Empirical threshold values for quantitative trait mapping. Genetics, 138, 963-971. Go to original source... Go to PubMed...
    9. Esmailizadeh A.K., Baghizadeh A., Ahmadizadeh M. (2012): Genetic mapping of quantitative trait loci affecting bodyweight on chromosome 1 in a commercial strain of Japanese quail. Animal Production Science, 52, 64-66. Go to original source...
    10. Haley C., Knott S., Elsen J. (1994): Mapping quantitative trait loci in crosses between outbred lines using Least Squares. Genetics, 136, 1195-1207. Go to original source... Go to PubMed...
    11. Hamoen F.F., Van Kaam J.B., Groenen M.A., Vereijken A.L., Bovenhuis H. (2001): Detection of genes on the Z-chromosome affecting growth and feathering in broilers. Poultry Science, 80, 527-534. Go to original source... Go to PubMed...
    12. Ikeobi C.O.N., Woolliams J.A., Morrice D.R., Law A., Windsor D., Burt D.W., Hocking P.M. (2004): Quantitative trait loci for meat yield and muscle distribution in a broiler layer cross. Livestock Production Science, 87, 143-151. Go to original source...
    13. Ito S., Kimura M., Isogai I. (1988): A sex difference in recombination values between extended brown and phosphoglucose isomerase loci in Japanese quail. Japanese Journal of Zootechnical Science, 59, 801-805. Go to original source...
    14. Kayang B.B., Vignal A., Inoue-Murayama M., Miwa M., Monvoisin J.L., Ito S., Minvielle F. (2004): A first-generation microsatellite linkage map of the Japanese quail. Animal Genetics, 35, 195-200. Go to original source... Go to PubMed...
    15. Kleiber M. (1947): Body size and metabolic rate. Physiology Reviews, 27, 511-541. Go to original source... Go to PubMed...
    16. Liu X., Li H., Wang S., Hu X., Gao Y., Wang Q., Li N., Wang Y., Zhang H. (2007): Mapping quantitative trait loci affecting body weight and abdominal fat weight on chicken chromosome one. Poultry Science, 86, 1084-1089. Go to original source... Go to PubMed...
    17. Minvielle F., Kayang B., Inoue-Murayama M., Miwa M., Vignal A., Gourichon D., Neau A., Monvoisin J., Ito S. (2005): Microsatellite mapping of QTL affecting growth, feed consumption, egg production, tonic immobility and body temperature of Japanese quail. BMC Genomics, 6, 87. Go to original source... Go to PubMed...
    18. Narinc D., Aksoy T., Karaman E. (2010): Genetic parameters of growth curve parameters and weekly body weights in Japanese quails (Coturnix coturnix japonica). Journal of Animal and Veterinary Advances, 9, 501-507. Go to original source...
    19. Roussot O., Feve K., Plisson-Petit F., Pitel F., Faure J.M., Beaumont C., Vignal A. (2003): AFLP linkage map of the Japanese quail Coturnix japonica. Genetics Selection Evolution, 35, 559-572. Go to original source... Go to PubMed...
    20. Shibusawa M., Minai S., Nishida-Umehara C., Suzuki T., Mano T., Yamada K., Namikawa T., Matsuda Y. (2001): A comparative cytogenetic study of chromosome homology between chicken and Japanese quail. Cytogenetics and Cell Genetics, 95, 103-109. Go to original source... Go to PubMed...
    21. Sohrabi S.S., Esmailizadeh A.K., Baghizadeh A., Moradian H., Mohammadabadi M.R., Askari N., Nasirifar E. (2012): Quantitative trait loci underlying hatching weight and growth traits in an F2 intercross between two strains of Japanese quail. Animal Production Science, 52, 1012-1018. Go to original source...
    22. Tuiskula-Haavisto M., Honkatukia M., Vilkki J., de Koning D.J., Schulman N.F., Maki-Tanila A. (2002): Mapping of quantitative trait loci affecting quality and production traits in egg layers. Poultry Science, 81, 919-927. Go to original source... Go to PubMed...
    23. Zhou H., Deeb N., Evock-Clover C.M., Ashwell C.M., Lamont S.J. (2006): Genome-wide linkage analysis to identify chromosomal regions affecting phenotypic traits in the chicken. II. Body composition. Poultry Science, 85, 1712-1721. Go to original source... Go to PubMed...

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