PRODUCTIVE PERFORMANCE AND MOLECULAR GENETIC CHARACTERIZATION OF BROWN AND WHITE JAPANESE QUAIL GENOTYPES USING RAPD AND ISSRs-PCR MARKERS
Abstract
The aims of the present study were to characterize the possible genetic and productive traits differences associated with the plumage colour in two genotypes of Japanese quail. Productive performance and DNA markers were used to identify these genotypes. Genotype effect showed that the brown genotype had significantly heavier body weight (BW) at 7, 14 and 21 days of age and longer shank length (SL) at all studied ages, except for 1 and 14 days than the white genotype. Sex effect on BW and SL was significant at all studied ages, except for one day old, females had significantly higher BW and SL than males. The interaction effect between genotype and sex on BW was significant at all studied ages except for one day old. The interaction effect between genotype and sex on SL was significant at all studied ages, except for 1 and 14 days. Brown genotype had significantly heavier BW at first egg than the white genotype. The white genotype had significantly higher shape index than brown genotype. The brown genotype matured at earlier age (P≤0.05) than the white genotype and had shorter days (P≤0.05) to produce the first 30 eggs, and had shorter days (P>0.05) to produce the first 10 eggs than the brown genotype. Brown genotype laid significantly more number of eggs during the first, the second and the first two months than the white genotype and had significant higher egg mass during the different study periods. From the present results, it can be concluded that brown genotype had favored growth traits and most of egg production related traits during annual egg production.
The level of polymorphism among two Japanese quail genotypes brown and white, was estimated using two PCR-based marker techniques RAPD and ISSRs. Six RAPD and six ISSRs primers were employed to find out genetic variations and relationships among these genotypes of quail. RAPD and ISSRs analysis generated a total number of 442 and 467 amplicons representing a level of polymorphism of 74.24% and 72.86%, and an average number of polymorphic fragments/ primer of 8.17 and 8.5, respectively. The genetic relationships among the 10 individuals of quail were estimated in terms of similarity using Dice coefficients. The genetic similarity ranged from 0.00-1.00 for RAPD, ISSRs, and RAPD and ISSRs combination. The intergenotype relationships among the two quail genotypes based on RAPD, ISSRs, and RAPD and ISSRs combination revealed the highest genetic similarity between the genotype brown male (5) and brown female (2), white female (7) and brown female (1), and white female (6) and brown female (1), respectively. The intergenotype relationships among the two quail genotypes based on RAPD, ISSRs, and RAPD and ISSRs combination revealed the lowest genetic similarity between the genotype brown female (2) and brown female (1), white female (7) and white female (6), and white female (7) and white female (6), respectively. The RAPD based dendrogram clustered the brown genotype female and male, and white genotype females and males in the same group while, brown female and brown male genotypes were in separate clusters. The ISSRs based dendrogram clustered the white genotypes female and male, and brown genotypes females and males in the same group while, brown female was delimited in separate one cluster. The RAPD and ISSRs combination based dendrogram clustered the brown genotype females in the same group, and female and male white genotypes, and brown male and brown female genotypes in separate clusters. However, the reshuffling in the position of the brown and white genotypes belonging to the individuals in the different dendrograms revealed that they share common genetic background. They might share some genes between brown and white genotypes through mutation in brown color genotype. Moreover, each of the RAPD and ISSRs was successful in identifying genotype-specific markers characterizing 10 individuals of quail. The productive performance and molecular genetic analysis used in the present study successfully distinguished between the two genotypes of quail, brown and white colures, males and females.
References
Aboul-Hassan, M. A. (2001). Crossbreeding effects on some growth and egg production traits among two strains of Japanese quail. Al-Azhar J. Agric. Res., 34: 41-57.
Akram, M., J. Hussain, S. Ahmad, S. Mehmood, A. Rehman, A. Iqbal and M. Usman (2013). Study of body measurements and slaughter characteristics in Japanese quail as influenced by age. Sci. J. Zool., 3: 23-26.
Alatafi, A. K., A. Rao, S. V. V. Kalyana, R. G. Gajula, S. R. Revuri and V. K. Singh (2013). Screening the genetic diversity of male and female breeds of Indian chickens using RAPD marker analysis. Res. Opin. Anim. Vet. Sci., 3: 111-116.
Alkan, S., K. Karabag, A. Galic, T. Karsli and M. S. Balcioglu (2010). Effects of selection for body weight and egg production on egg quality traits in Japanese quails (Coturnix coturnix japonica) of different lines and relationships between these traits. Kafkas Univ. Vet. Fak. Derg., 16: 239-244.
Alyethodi, R. R., S. Kumar, B. K. Panda, P. Singh, G. Jaiswal and S. Choudhary (2010). Molecular genetic characterization of Moti native duck using RAPD markers. J. Appl. Anim. Res., 37: 19-23.
Badawy, A. Y. (2008). Divergent selection in Japanese quail for body weight under subtropical conditions. MSc. Thesis, Fac. Agric., Suez Canal Univ., Egypt.
Bed’hom, B., V. Mohsen, G. Coville, D. Gourichon, O. Chastel, L. Follett, T. Burke and F. Minvielle (2012). The lavender plumage color in Japanese quail is associated with a complex mutation in the region of MLPH that is related to differences in growth, feed consumption and body temperature. BMC Genomics, 13: 442.
Daikwo, S. I., O. M. Momoh and N. I. Dim (2013). Heritability estimates of genetic and phenotypic correlations among some selected carcass traits of Japanese quail (Coturnix coturnix japonica) raised in a subhumid climate. J. Bio., Agric. Health., 3: www.iiste.org.
Dice, L. R. (1945). Measures of the amount of ecologic association between species. Ecology, 26: 297-302.
Duncan, D. B. (1955). Multiple range and multiple F-test. Biometrics, 11: 1-42.
Dunnington, E. A., Y. Plotsky, A. Harberfeld, T. Kirk, A. Goldberg, V. Lavi, A. Chaner, P. B. Seigel and J. Hillel (1990). DNA fingerprints of chickens selected for high and low body weight for 31 generations. Anim. Genet., 21: 247-257.
Emara, M. G. and H. Kim (2003). Genetic markers and their application in poultry breeding. Poult. Sci., 82: 952-957.
El-Bayomi, Kh. M., A. Awad and A. A. Saleh (2013). Genetic diversity and phylogenetic relationship among some rabbit breeds using random amplified polymorphic DNA markers. Life Sci. J., 10: 1449-1457.
El-Fiky, F. A, M. A. Aboul-Hassan, S. S. Batta and G. E. Y. Attalah (2000). Comparative study of egg production traits in two strains of Japanese quail. Fayoum J. Agric. Res. Dev., 14: 198-205.
El-Komy, E. M. A. (2011). Growth pattern and molecular characteristics of native Egyptian chickens improved for meat production. PhD. Thesis, Dept. Anim. Prod., Fac. Agric., Cairo Univ., Egypt.
Genchev, A. (2012). Comparative investigation of the egg production in two Japanese quail breeds-Pharaoh and Manchurian golden. Trakia J. Sci., 10: 48-56.
Guobin, C., C. Hong, L. Xiangping, Y. Zhangping, C. Gouhong, Z. Wenming, J. Dejun, X. Yan, H. Feng and H. Hussein (2006). Study on genetic coadaptability of wild quail populations in China. Sci. in China: Series C Life Sci., 49: 172-181.
Jassim, J. M., R. K. Mossa and M. H. Abdul-Radha (2006). Genotype and sex impact on: 1-Production traits of quail. Basrah J. Agric. Sci., 19: 37-50.
Karabağ, K. and M. S. Balcioğlub (2010). Genetic diversity among selected Japanese quail (Coturnix coturnix japonica) lines using RAPD markers. J. Appl. Anim. Res., 38: 149-152.
Kayang, B. 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. Genet. Selection Evol., 34: 233-253.
Kayang, B. B., A. Vignal, M. Inoue-Murayama, M. Miwa, J. L. Monvoisin, S. Ito and F. Minvielle (2004). A first-generation micro-satellite linkage map of the Japanese quail. Anim. Genet., 35: 195-200.
Kayang, B. B., I. Youssao, E. Inoue, A. Naazie, H. Abe, S. Ito, and M. In-oue-Murayama (2010). Genetic diversity of helmeted guineafowl (Numida meleagris) based on microsatellite analysis. J. Poult. Sci., 47: 120-124.
Kim, S. H., K. M. Cheng, C. Ritland, K. Ritl and F. G. Silversides (2007). Inbreeding in Japanese quail estimated by pedigree and microsatellite analyses. J. Hered., 98: 378-381.
Kumar, K. G., S. Kumar, S. P. S. Ahlawat, P. Kumar and S. Kumar (2000). Evaluation of genetic diversity in Japanese quail lines by RAPD-PCR. Indian J. Vet. Res., 9: 38-47.
Mannen, H., S. Tsuji, S. Okamoto, Y. Maeda, H. Yamashita, F. Mukai and N. Goto (1993). DNA fingerprints of Japanese quail lines selected for high and low body weight. Japanese Poult. Sci., 30: 66-71.
Mansour, A., J. A. Teixeira da Silva and E. E. El-Araby (2010). Molecular markers associated with the development of new phenotypes of Japanese quail in Egypt. Dynamic Biochem. Process Biotech. Molec. Bio. Global Sci. Books, 4: 79-84.
Minvielle, F., B. Bed'hom, J. L. Coville, S. Ito, M. Inoue-Murayama and D. Gourichon (2010). The "silver" Japanese quail and the MITF gene: causal mutation, associated traits and homology with the "blue" chicken plumage. BMC Genet., 11: 15.
Minvielle, F., D. Gourichon and C. Moussu (2005). Two new plumage mutations in the Japanese quail: “curly” feather and “rusty” plumage. BMC Genet., 6: 14.
Minvielle, F, E. Hirigoyen and M. Boulay (1999). Associated effects of the roux plumage color mutation on growth, carcass traits, egg production, and reproduction of Japanese quail. Poult. Sci., 78: 1479-1484.
Monira, K. N., M. N. Islam, R. Khatun and S. Ahmed (2011). Genetic relationship and similarity of some selected chicken strains. J. Bangladesh Agric. Univ., 217-220.
Nassar, F. S. (2013). Improving broiler performance through modern biotechnological methods. PhD. Thesis, Dept. Anim. Prod., Fac. Agric., Cairo Univ., Egypt.
Ojedapo, L. O. (2013). Age related changes on growth traits of Pharaoh quail (Coturnix coturnix Japonica) kept in cages and deep litter system in derived savanna area of Nigeria. I. J. Agric. Biosci., 4: 149-152.
Ojo, V., T. R. Fayeye, K. L. Ayorinde and H. Olojede (2014). Relationship between body weight and linear body measurements in Japanese quail (Coturnix coturnix japonica). J. Sci. Res., 6: 175-183.
Okenyi, N., H. M. Ndofor-Foleng, C. C. Ogbu and C. I. Agu (2013). Genetic parameters and consequences of selection for shortterm egg production traits in Japanese quail in a tropical environment. African J. Biotech., 12: 1357-1362.
Olowofeso, O., J. Y. Wang, K. Z. Xie and G. Q. Liu (2005). Phylogenetic scenario of Portcity chickens in China based on two-marker types. I. J. Poult. Sci., 4: 206-212.
Pang, S. W., C. Ritland, J. E. Carlson and K. M. Cheng (1999). Japanese quail microsatellite loci amplified with chicken-specific primers. Anim. Genet., 30: 195-199.
Petek, M., Y. Ozen and E. Karakas (2004). Effects of recessive white plumage color mutation on hatchability and growth of quail hatched from breeders of different ages. British Poult. Sci., 45: 769-774.
Romanov, M. N. and S. Weigend (2001). Analysis of genetic relationships between various populations of domestic and jungle fowl using microsatellite markers. Poult. Sci., 80: 1057-1063.
Roussot, O., K. Feve, F. Plisson-Petit, F. Pitel, J. M. Faure, C. Beaumont and A. Vignal (2003). AFLP linkage map of the Japanese quail (Coturnix japonica). Genet. Selection Evol., 35: 559-572.
Sakunthaladevi, K., B. Ramesh Gupta, M. Gnana Prakash, S. Qudratullahi and A. Rajasekhar Reddy (2011). Genetic analysis of production, reproduction and clutch traits in Japanese quails. Tamilnadu J. Vet. Anim. Sci., 7: 126-132.
Sharma, D., K. B. C. Appa Rao and S. M. Totey (2000). Measurement of within and between population genetic variability in quails. British Poult. Sci., 41: 29-32.
SPSS (2008). Statistical package for social sciences, SPSS User guide for statistics, release 17.0, SPSS Inc., USA.
Tadano, R., N. Nagasaka, N. Goto, K. Rikimaru and M. Tsudzuki (2013). Genetic characterization and conservation priorities of chicken lines. Poult. Sci., 92: 2860-2865.
Tamara, A., W. Choumane and M. Hmeshe (2012). Characterization and estimation of genetic diversity in two Syrian chicken phenotypes using molecular Markers. I. J. Poult. Sci., 11: 16-22.
Vali, N. (2008). The Japanese quail. A rev. I. J. Poult. Sci., 7: 925-931.
Williams, J. G. K., A. R. Kubelik, K. J. Livak, J. A. Rafalski and S. V. Tingey (1990). DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucl. Acids Res., 18: 6531-6535.
Williams, J. G., K. M. K. Hanafy, J. A. Rafalski and S. V. Tingey (1993). Genetic analysis using random amplified polymorphic DNA markers. Methods Enzymol., 86: 1033-1037.
Yap, F. C. and J. V. Kumaran (2011). Phylogenetic relationships among different breeds of domestic chickens in selected areas of Peninsular Malaysia using RAPD markers. Pertanika J. Trop. Agric. Sci., 2: 263-270.
Ye, X., J. Zhu, S. G. Velleman, W. L. Bacon and K. E. Nestor (1998). Measurement of genetic variation within and between Japanese quail lines using DNA fingerprinting. Poult. Sci., 77: 1755-1758.
Zhang, X., F. C. Leung, D. K. O. Chan, G. Yang and C. Wu (2002). Genetic diversity of Chinese native chicken breeds based on protein polymorphism, randomly amplified polymorphic DNA and microsatellite polymorphism. Poult. Sci., 81: 1463-1472.