Volume 8, Issue 17 (1-2018)
rap 2018, 8(17): 122-129 |
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(2018). Study of Quantitative Trait Loci Affecting Growth Traits in Japanese Quail using a Paternal Half-Sib Design. rap. 8(17), 122-129. doi:10.29252/rap.8.17.122
URL: http://rap.sanru.ac.ir/article-1-875-en.html
URL: http://rap.sanru.ac.ir/article-1-875-en.html
Abstract: (3706 Views)
A paternal half-sib design was implemented to identify QTL on chromosome 2 affecting growth traits in Japanese quail. Using a reciprocal cross between two strains, white (laying) and wild (broiler) of Japanese quail, 34 birds were obtained in F1 generation and 422 offspring related to 9 paternal half-sib families in 5 consecutive hatches were generated. Progeny from 9 paternal half-sib families were measured for growth traits, and genotyped for four microsatellite markers on chromosome 2. QTL analysis was performed with least squares interval mapping method based on regression in across and individual paternal half-sib families. In addition to the QTL responsible for Kleiber ratio, other QTLs related to growth in positions 13, 51, 53, 54 and 55 cM, (P<0.05) and 50 cM, (P<0.01) were identified. Percentage of trait phenotypic variation explained by QTL ranged from 0.01 to 5.16 and the average of useful polymorphism information content of the markers in different parts of the chromosome 2 (both in-between and at the markers) was 0.58 and ranging from 0.41 to 0.71. Most probably the traits located near a specific marker have polytrophic effects which are important traits in breeding quail. The results showed that the mentioned traits are highly related to each other. If approved by segregating QTL detected in commercial strains of quail, the results of this study can be used in marker-assisted selection programs.
Keywords: Growth traits, Japanese quail, Paternal half-sib designs, Quantitative trait loci, Kleiber ratio
Type of Study: Research |
Subject:
Special
Received: 2018/01/10 | Accepted: 2018/01/10 | Published: 2018/01/10
Received: 2018/01/10 | Accepted: 2018/01/10 | Published: 2018/01/10
References
1. Ambo, M., A.S. Moura, M.C. Ledur, L.F. Pinto, E.E. Baron, D.C. Ruy, K. Nones, R.L. Campos, C. Boschiero, D.W. Burt and L.L. Coutinho. 2009. Quantitative trait loci for performance traits in a broiler x layer cross. Animal genetics, 40: 200-8. [DOI:10.1111/j.1365-2052.2008.01824.x]
2. Asadi Khoshoei, E., S.R. Miraei Ashtiani, A. Torkamanzehi, S.H. Rahimi and R. Vaez Torshizi. 1999. The evaluation of kleiber ratio as a selection criterion for ram selection in Lori-Bakhtiari sheep breed. Iranian Journal of Agriculture Science, 30: 649-655 (In Persian).
3. Ayatollahhi, A. 2012. Divergent selection for four-week body weight in Japanese quail (Coturnix coturnix japonica): response to selection and realized heritability. Journal of Livestock Science and Technologies, 1(1): 61-64.
4. Atzmon, G., S. Blum, M. Feldman, A. Cahaner, U. Lavi and J. Hillel. 2008. QTLs detected in a multigenerational resource chicken population. The Journal of Heredity, 99: 528-38. [DOI:10.1093/jhered/esn030]
5. Badnhorst, M.A. 1990. The kleiber ratio as a possible selection for sire selection. The Shepherd, 35: 18-19.
6. Berg, L., M.M. Scholtz and G.J. Erasmus. 1992. Identification and assessment of the best animals: The Kleiber Ratio as a selection criteria for beef cattle. Animal Breeding and Genetics, 10: 338-340.
7. Carlborg, O., S. Kerje, K. Schutz, L. Jacobsson, P. Jensen and L. Andersson. 2003. A global search reveals epistatic interaction between QTL for early growth in the chicken. Genome research, 13: 413-21. [DOI:10.1101/gr.528003]
8. Charati, H. and A.K. Esmailizadeh. 2013. Carcass traits and physical characteristics of eggs in Japanese quail as affected by genotype, sex and hatch. Journal of Livestock Science and Technologies, 2(1): 59-64.
9. Chatziplis, D.G. and C.S. Haley. 2000. Selective genotyping for QTL detection using sib pair analysis in outbred populations with hierarchical structures. Genetics Selection Evolution, 32: 547-560. [DOI:10.1051/gse:2000136]
10. Churchill, G.A. and R.W. Doerge. 1994. Empirical threshold values for quantitative trait mapping. Genetics, 138: 963-971.
11. Darvasi. A., A. Weinreb, V. Minke, J.I. Wellert and M. Soller. 1993. Detecting Marker-QTL Linkage and Estimating QTL Gene Effect and Map Location Using a Saturated Genetic Map. Genetics, 134: 943-951.
12. De Koning, D.J., P.M. Visscher, S.A. Knott and C.S. Haley. 1998. A strategy for QTL detection in half-sib populations. Animal Science, 67: 257-268. [DOI:10.1017/S1357729800010018]
13. Esmailizadeh, A.K. and M.R. Mohammadabadi. 2009. The molecular research of bovine genome for mapping loci associated with carcass weight, Agricultural Biotechnology, 1: 130-117 (In Persian).
14. Esmailizadeh, A.K., A. Baghizadeh and M. Ahmadizadeh. 2012. Genetic mapping of quantitative trait loci affecting bodyweight on chromosome 1 in a commercial strain of Japanese quail. Animal Production Science, 52: 64-68. [DOI:10.1071/AN11220]
15. Haley, C.S., S.A. Knott and J.M. Elsen. 1994. Mapping quantitative trait loci in crosses between outbred lines using least squares. Genetics, 136: 1195-1207.
16. Ikeobi, C.O.N., J.A. Woolliams, D.R. Morrice, A. Law, D. Windsor, D.W. Burt and P.M. Hocking. 2002. Quantitative trait loci affecting fatness in the chicken. Animal Genetics, 33: 428-435. [DOI:10.1046/j.1365-2052.2002.00911.x]
17. Inoue-Murayama, M., B.B. Kayang, K. Kimura, H. Ide, A. Nomura, H. Takahashi, Y. Nagamine, T. Takeda, H. Hanada, K. Tatsuda, M. Tsudzuki, Y. Matsuda, M. Mizutani, Y. Murayama and S. Ito. 2001. Chicken microsatellite primers are not efficient markers for Japanese quail. Animal Genetics, 32: 7-11. [DOI:10.1046/j.1365-2052.2001.00699.x]
18. Jabbari, Ori R., A.K. Esmailizadeh, H. Charati, M.R. Mohammadabadi and S.S. Sohrabi. 2014. Identification of QTL for live weight and growth rate using DNA markers on chromosome 3 in an F2 population of Japanese quail. Molecular Biology Reports, 41: 1049-1057. [DOI:10.1007/s11033-013-2950-3]
19. Kayang, B., M. Inoue-Murayama, T. Hoshi, K. Matsuo, H. Takahashi, M. Minezawa, M. Mizutani and S. Ito. 2002. Microsatellite loci in Japanese quail and cross-species amplification in chicken and guinea fowl. Genetics Selection Evolution, 34: 233-253. [DOI:10.1051/gse:2002006]
20. Kayang, B., A. Vignal, M. Inoue-Murayama, M. Miwa, J. Monvoisin, S. Ito and F. Minvielle. 2004. A first-generation microsatellite linkage map of the Japanese quail. Animal Genetics, 35: 195-200. [DOI:10.1111/j.1365-2052.2004.01135.x]
21. Kayang, B.B., V. Fillon, M. Inoue-Murayama, M. Miwa, S. Leroux, K. Fève, J.L. Monvoisin, F. Pitel, M. Vignoles, C. Mouilhayrat, C. Beaumont, S.I. Ito, F. Minvielle and A. Vignal. 2006. Integrated maps in quail (Coturnix japonica) confirm the high degree of synteny conservation with chicken (Gallus gallus) despite 35 million years of divergence. BMC Genomics, 7: 101. [DOI:10.1186/1471-2164-7-101]
22. Khatkar, M. S., P.C. Thomson, I. Tammen and H.W. Raadsma. 2004. Quantitative trait loci mapping in dairy cattle: review and meta-analysis. Genetics Selection Evolution, 36: 163-190. [DOI:10.1051/gse:2003057]
23. Khaldari, M., A. Pakdel, H. Mehrabani Yegane, A. Nejati Javaremi and P. Berg. 2010. Response to selection and genetic parameters of body and carcass weights in Japanese quail selected for 4 week body weight. Poultry Science, 89: 1834-1841. [DOI:10.3382/ps.2010-00725]
24. Knott. S.A., L. Marklund, C.S. Haley, K. Andersson, W. Davies, H. Ellegren, M. Fredholm, I. Hansson, B. Hoyheim, K. Lundstrom, M. Moller and L. Andersson. 1998. Multiple markers mapping of quantitative trait loci in a cross between outbred wild boar and large white pigs. Genetics. 149: 1069-1080.
25. Miller, S.A., D.D. Dykes and H.F. Polesky. 1988. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Research, 16: 12-15. [DOI:10.1093/nar/16.3.1215]
26. Minvielle, F., B. Kayang, M. Inoue-Murayama, M. Miwa, A. Vignal, D. Gourichon, A. Neau, J. Monvoisin and 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. [DOI:10.1186/1471-2164-6-87]
27. Moradian, H., A.K. Esmailizadeh, S.S. Sohrabi, E. Nasirifar, N. Askari, M.R. Mohammadabadi and A. Baghizadeh. 2014b. Genetic analysis of an F2 intercross between two strains of Japanese quail provided evidence for quantitative trait loci affecting carcass composition and internal organs. Molecular Biology Reports, 41: 4455-4462. [DOI:10.1007/s11033-014-3316-1]
28. Navarro, P., P.M. Visscher, S.A. Knott, D.W. Burt, P.M. Hocking and C.S. Haley. 2005. Mapping of quantitative trait loci affecting organ weights and blood variables in a broiler layer cross. British Poultry Science, 46(4): 430-42. [DOI:10.1080/00071660500158055]
29. Podisi, B. K., S.A. Knott, D.W. Burt and P.M. Hocking. 2013. Comparative analysis of quantitative trait loci for body weight, growth rate and growth curve parameters from 3 to 72 weeks of age in female chickens of a broiler-layer cross. BMC Genetics, 14: 22. [DOI:10.1186/1471-2156-14-22]
30. Rao, Y., X.U. Shen, M.X. Xia, C. Luo, Q. Nie, D. Zhang and X. Zhang. 2007. SNP mapping of QTL affecting growth and fatness on chicken GGA1. Genetics Selection Evolution, 39: 569-582. [DOI:10.1051/gse:2007022]
31. Rezvannejad E. 2014. Productive, reproductive performance and biochemical parameters of short-term divergently selected Japanese quail lines and their reciprocal crosses. Journal of Livestock Science and Technologies, 1(2): 35-42.
32. Rowe, S.J., D. Windsor, C.S. Haley, D.W. Burt, P.M. Hocking, H. Griffin, J. Vincent and D.J. De Koning. 2006. QTL analysis of body weight and conformation score in commercial broiler chickens using variance component and half-sib analyses. Animal Genetics, 37: 269-272. [DOI:10.1111/j.1365-2052.2006.01424.x]
33. Shibusawa, M., S. Minai, C. Nishida-Umehara, T. Suzuki, T. Mano, K. Amada, T. Namikawa and Matsuda Y. 2001. A comparative cytogenetic study of chromosome homology between chicken and Japanese quail. Cytogenetics and Cell Genetics 95: 103-109. [DOI:10.1159/000057026]
34. Sohrabi, S.S., A.K. Esmailizadeh, A. Baghizadeh, H. Moradian, M.R. Mohammadabadi, N. Askari and E. Nasirifar. 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. [DOI:10.1071/AN12100]
35. Vali, N., M. A. Edriss and H. R. Rahmani. 2005. Genetic parameters of body and some carcass traits in two quail strains. International Journal of Poultry Science, 4(5): 296-300. [DOI:10.3923/ijps.2005.296.300]
36. Wakasugi, N. 1984. Japanese quail. In: Evolution of domesticated animals (Ed. by I.L. Mason). Longman, London, 319-21.
37. Weller, J.I. 2001. Quantitative trait loci analysis in animals. London: CABI Publishing. 287 pp. [DOI:10.1079/9780851994024.0000]
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