Association between the Melanocortin-4 Receptor (MC4R) Gene Polymorphisms and Growth Trait in Sumba Ongole Cattle
الموضوعات :
A. Fathoni
1
(Department of Animal Breeding and Reproduction, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia)
S. Sumadi
2
(Department of Animal Breeding and Reproduction, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia)
I.G.S. Budisatria
3
(Department of Animal Breeding and Reproduction, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia)
A.P.Z.N.L. Sari
4
(Department of Animal Breeding and Reproduction, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia)
D. Maharani
5
(Department of Animal Breeding and Reproduction, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia)
الکلمات المفتاحية: polymorphism, growth traits, <i>MC4R</i> gene, Sumba Ongole cattle,
ملخص المقالة :
Melanocortin-4 receptor (MC4R) gene has been known as a candidate gene for growth traits in livestock. This research was aimed to identify the polymorphism of MC4R gene and its association with growth traits in Sumba Ongole (SO) cattle. The growth traits data consist of body weight and body size. Eighty four blood samples were collected and used for DNA isolation. The results showed one SNP (g.1133C>G) resulting in two alleles (C and G) and three genotypes (CC, CG, and GG) in SO cattle. The frequency of G allele (0.59) was higher than C allele (0.41). The CG genotype had the highest value of genotype frequency (0.48). The allele and genotype distributions followed the Hardy-Weinberg equilibrium. The single nucleotide polymorphism (SNP) g.1133C > G revealed having no significant association with growth traits in SO cattle. In conclusion, the SNP g.1133C > G may not useful as selection tool in Sumba Ongole cattle. It can be suggested that the future study is needed to find out the effect of the MC4R gene in Sumba Ongole cattle in different locus.
Agung P.P., Anwar S., Putra W.P.B., Zein M.S.A., Wulandari A.S., Said S. and Sudiro A. (2017). Association of growth hormone (GH) gene polymorphism with growth and carcass in Sumba Ongole (SO) cattle. J. Indonesian Trop. Anim. Agric. 42,153–159.
Agung P.P., Putra W.P.B., Anwar S. and Wulandari A.S. (2018a). Body weight estimation of Bali cattle in Banyumulek Techno Park, West Nusa Tenggara using several morphometric parameters. Bul. Peternak. 42, 20-25.
Agung P.P., Putra W.P.B., Anwar S., Wulandari A.S., Zein M.S.A., Said S. and Sudiro A. (2018). Novel single nucleotide polymorphisms in the Sumba Ongole (Bos indicus) growth hormone gene. Biodiversitas. 19, 596-601.
Allan M.F. and Smith T.P.L. (2008). Present and future applications of DNA technologies to improve beef production. Meat Sci. 80, 79-85.
Bene S., Nagy B., Nagy L., Kiss B., Polgár J.P. and Szabó F. (2007). Comparison of body measurements of beef cows of different breeds. Arch. Anim. Breed. 50, 363-373.
Cheong H.S., Yoon D.H., Kim L.H., Park B.L., Choi Y.H., Chung E.R. and Cho Y.M. (2006). Growth hormone-releasing hormone (GHRH) polymorphisms associated with carcass traits of meats in Korean cattle. BMC Genet. 7, 1-6.
Delgado M.J., Cerdá-Reverter J.M. and Soengas J.L. (2017). Hypothalamic integration of metabolic, endocrine, and circadian signals in fish: Involvement in the control of food intake. Front. Neurosci. 11, 1-29.
Fathoni A., Maharani D., Aji R.N., Choiri R. and Sumadi S. (2019). Polymorphism of the SNP g. 1180 C>T in leptin gene and its association with growth traits and linear body measurement in Kebumen Ongole Grade cattle. J. Indonesian Trop. Anim. Agric. 44, 125-134.
Fauzyah A., Panjono P., Agus A., Budisatria I.G.S. and Widyobroto B.P. (2017). The effect of rumen undegradable protein level of concentrate with rice straw as basal diet on growth performance of Sumba Ongole beef cattle. Bul. Peternak. 41, 142-149.
Girardet C. and Butler A.A. (2014). Neural melanocortin receptors in obesity and related metabolic disorders. Biochim. Biophys. Acta Mol. Basis Dis. 1842, 482-494.
Hilmia N., Rahmat D. and Dudi D. (2018). Leptin gene polymorphism of Ongole Grade cattle based on single nucleotide polymorphism. J. Indonesian Trop. Anim. Agric. 43, 309-314.
Hossain S.M.J., Afroz M.F., Bhuiyan A. and Habib M.A. (2018). Milk production performance of Red Chittagong cattle based on phenotypic and genetic parameters. Glob. Adv. Res. J. Agric. Sci. 7, 110-117.
Huang M., Gao X., Li J.Y., Ren H.Y., Chen J.B. and Xu S.Z. (2010). Polymorphisms in MC4R gene and correlations with economic traits in cattle. Mol. Biol. Rep. 37, 3941-3944.
Kang S.H. and Shin D. (2004). The size of the chi-square test for the Hardy-Weinberg law. Hum. Hered. 58, 10-17.
Kaswati K., Sumadi S. and Ngadiyono N. (2013). Estimasi nilai heritabilitas berat lahir, sapih, dan umur satu tahun pada sapi Bali di Balai Pembibitan Ternak Unggul sapi Bali. Bul. Peternak. 37, 74-78.
Kong H.S., Seong J., Suh D.S., Do Park K. and Lee H.K. (2012). Identification and analysis of MC4R polymorphisms and their association with economic traits of Korean cattle (Hanwoo). Mol. Biol. Rep. 39, 3597-3601.
Lee K.W. and Kong H.S. (2011). Identification of a SNP in Hanwoo MC4R gene with its Effect on Economic Traits Pp. 219-223 in Int. Conf. Food Engin. Biotechnol., Singapoore.
Lee Y., Park S., Kim H., Lee S.K., Kim J.W., Lee H.K., Jeong D.K. and Lee S.J. (2013). A C1069G SNP of the MC4R gene and its association with economic traits in Korean native cattle (brown, brindle, and black). Electron. J. Biotechnol. 16, 1-5.
Liu H., Tian W., Zan L., Wang H. and Cui H. (2009). Association of MC4R gene variants with carcass and meat quality traits in Qinchuan cattle. African J. Biotechnol. 8, 3666-3671.
Maharani D., Fathoni A., Sumadi S., Hartatik T. and Khusnudin M. (2018). Identification of MC4R gene and its association with body weight and body size in Kebumen Ongole Grade cattle. J. Indonesian Trop. Anim. Agric. 43, 87-93.
Mashiloane L., Bothma A., Madia K., Sebei J. and Nephawe K. (2012). Growth and feed efficiency of range performance tested beef bulls in the arid sweet bushveld of South Africa. Open J. Anim. Sci. 2, 258-264.
Moonesinghe R., Yesupriya A., Chang M.H., Dowling N.F., Khoury M.J. and Scott A.J. (2010). A hardy-weinberg equilibrium test for analyzing population genetic surveys with complex sample designs. Am. J. Epidemiol. 171, 932-941.
Nandolo W., Gondwe T. and Banda M. (2016). Phenotypic and genetic parameters of calf growth traits for Malawi Zebu. Livest. Res. Rural Dev. 28, 1-11.
Óvilo C., Fernández A., Rodríguez M.C., Nieto M. and Silió L. (2006). Association of MC4R gene variants with growth, fatness, carcass composition and meat and fat quality traits in heavy pigs. Meat Sci. 73, 42-47.
Paputungan U., Ngangi L. and Kiroh H. (2015). Calf birth weight prediction accuracy using calf parturition durability and metric body measurements in Ongole crossbred heifers. Int. J. Biol. Sci. Appl. 2, 10-14.
Putra W.P.B., Agung P.P. and Said S. (2018). Non-genetic factor and genetic parameter analysis for growth traits in Sumba Ongole (SO) cattle. J. Indonesian Trop. Anim. Agric. 43, 94-106.
Said S., Agung P.P., Putra W.P.B., Anwar S.,Wulandari A.S. and Sudiro A. (2016a). Estimation of most probable producing ability value for calf birth’s performance in sumba Ongole cows. J. Indonesian Trop. Anim. Agric. 41, 53-60.
Said S., Agung P.P., Putra W.P.B., Anwar S., Wulandari A.S. and Sudiro A. (2016b). Selection of Sumba Ongole (SO) cattle based on breeding value and performance test. J. Indonesian Trop. Anim. Agric. 41, 175-187.
Shishay G., Liu G., Jiang X., Yu Y., Teketay W., Du D., Jing H. and Liu C. (2019). Variation in the promoter region of the MC4R gene elucidates the association of body measurement traits in hu sheep. Int. J. Mol. Sci. 20, 1-18.
Singh U., Deb R., Alyethodi R.R., Alex R., Kumar S., Chakraborty S., Dhama K. and Sharma A. (2014). Molecular markers and their applications in cattle genetic research: A review. Biomark. Gen. Med. 6, 49-58.
Sutarno S. and Setyawan A.D. (2016). The diversity of local cattle in Indonesia and the efforts to develop superior indigenous cattle breeds. Biodiversitas. 17, 275-295.
Switonski M., Mankowska M. and Salamon S. (2013). Family of melanocortin receptor (MCR) genes in mammals-mutations, polymorphisms and phenotypic effects. J. Appl. Genet. 54, 461-472.
Yantika S., Alamsyari M., Evvyernie D., Diapari D. and Winaga K. (2016). Performance, carcass production, and meat quality of sumba ongole bulls fed ration supplemented velvet bean (Mucuna pruriens). Media Peternak. 39, 20-26.
Yazdi F.T., Clee S.M. and Meyre D. (2015). Obesity genetics in mouse and human: Back and forth, and back again. Peer J. 24, 1-69.
Yeh F.C., Yang R.C., Timothy B.J., Ye Z. and Judy M. (1997). Popgene, the User Friendly Shareware for Population Genetic Analysis. Molecular Biology and Biotechnology Center, Alberta, Canada.
Zahrádková R., Bartoň L., Bureš D., Teslík V. and Kudrna V. (2010). Comparison of growth performance and slaughter characteristics of Limousin and Charolais heifers. Arch. Anim. Breed. 53, 520-528.
