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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 53 issue 12 (december 2019) : 1559-1565,   Doi: 10.18805/ijar.B-1077

Influence of chicken growth hormone (cGH) SNP genotypes on morphometric and growth traits of three chicken breeds in Nigeria.

O
O.L. Okafor
V
V.M.O Okoro
C
C.A. Mbajiorgu
I
I.C. Okoli
I
I.P. Ogbuewu
U
U.E. Ogundu
1Department of Agriculture and Animal Health, University of South Africa, Florida Science Campus, Johannesburg, South Africa.
Cite article:- Okafor O.L., Okoro V.M.O, Mbajiorgu C.A., Okoli I.C., Ogbuewu I.P., Ogundu U.E. (2019). Influence of chicken growth hormone (cGH) SNP genotypes on morphometric and growth traits of three chicken breeds in Nigeria.. Indian Journal of Animal Research. 53(12): 1559-1565. doi: 10.18805/ijar.B-1077.

ABSTRACT

This study was conducted to identify the diversity of chicken growth hormone (cGH) single nucleotide polymorphs’ (SNP) and their association on morphometric and growth traits of three Nigerian chicken breeds namely Funaab Alpha (FA), Shikabrown (SB) and Nigerian local chicken (NLC). Morphometric traits measured include shank length (cm), breast girth (cm) and breast width (cm) while growth traits measured were final body weight, av. weight gain, feed intake and feed conversion ratio all at laying stages respectively.  Morphometric and growth traits were significantly influenced (P<0.05) between the different breeds.  The SNP panel showed two base pair substitution mutation (GT and CA) on locus 5 chromosome for the FA and locus 6 chromosome for the SB and NLC respectively. The G – T alignment produced genotypes GG and GT, with TT not observed. Also C – A alignment produced genotypes CC and CA, with AA not observed. The NLC breed had the highest number of haplotypes of 6 while FA and SB had 4 haplotypes each implying that the local breed had more allelic variation than the other two breeds. Also FA had heterozygosity of 0.48 while SB and NLC had a value of 0.44, indicating higher genetic variability of FA breed than the rest with negative theta value (-0.0843) of F-statistics indicating high level of outbreeding. The conducted association of SNP genotypes showed no significant association effects (P>0.05) on the morphometric traits, except for SB breed where CA genotypes was significantly associated with CC for bodyweight, and in NLC breed where CC genotype was also significantly associated with CA genotypes for shank length. 

REFERENCES

  1. Adene, D.F. (2004). Sustainable indigenous poultry management and development programme in poultry health and production: Principles and practices. (Stirling–Horden Pub. Nig. Ltd.: Ibadan, Nigeria.).
  2. Apa, R., Lanzone, A., Miceli, F., Mastrandrea, M., Caruso, A., Mancuso, S. and Canipari, R. (1994). Growth hormone induces in vitro maturation of follicle-and cumulus-enclosed rat oocytes. Molecular and cellular endocrinology, 106: 207–212. 
  3. Chromas (2018) Chromas version 2.6.5 (2018), Technelysium Ptv Ltd,.
  4. Fayeye, T.R., Ayorinde, K.L., Ojo, V., Adesina, O.M. (2006). Frequency and influence of some major genes on body weight and body size parameters of Nigerian local chickens. Livestock Research for Rural Development, 18: 37-42.
  5. Ilori, B.M., Wheto, M., Durosaro, S.O., Akano, K., Adebambo, A.O., Adebambo, O.A. (2016). Polymorphisms of IGF-1 promoter and the UTR regions of Nigerian locally adapted chickens. Journal of Biology, Agriculture and Healthcare 6: 145–150.
  6. Kansaku, N., Hiyama, G., Sasanami, T., Zadworny, D. (2008). Prolactin and growth hormone in birds: protein structure, gene structure and genetic variation. Journal of Poultry Science, 45: 1–6.
  7. Kuhnlein, U., Ni, L., Zadworny, D., Weigend, S., Gavora, J.S., Fairfull, W. (1997). DNA polymorphisms in the chicken growth hormone gene: response to selection for disease resistance and association with egg production. Animal Genetics, 28: 116–123.
  8. Kumar, S., Stecher, G., Li, M., Knyaz, C., Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution, 35: 1547–1549.
  9. Lei, M.M., Nie, Q.H., Peng, X., Zhang, D.X., Zhang, X.Q. (2005). Single nucleotide polymorphisms of the chicken insulin-like factor binding protein 2 gene associated with chicken growth and carcass traits. Poultry Science, 84: 1191–1198.
  10. Msoffe, P.L.M., Mtambo, M.M.A., Minga, U.M., Gwakisa, P.S., Mdegela, R.H., Olsen, J.E. (2002). Productivity and natural disease resistance potential of free-ranging local chicken ecotypes in Tanzania. Livestock Research for Rural Development, 14: 2002-2008.
  11. NIAS, Newsletter. (2018). Nigerian Institute of Animal Science Newsletter, 2(16): 1-2. http://www.NIAS%20Newsletter%20August, %202018-min.pdf.
  12. Nie, Q., Sun, B., Zhang, D., Luo, C., Ishag, N.A., Lei, M., Yang, G., Zhang, X. (2005). High diversity of the chicken growth hormone gene and effects on growth and carcass traits. Journal of Heredity, 96: 698–703.
  13. Ogbu, C.C., Nwosu, C.C., Tule, J.J. (2013). Effect of genotype and nutrition on growth performance of indigenous chickens. ‘Nigeria’s Agricultural transformation agenda.’ Book of Occasional Scientific Publication,.(University of Nigeria, Press Ltd.)
  14. Ohno, Y., Tanase, H., Nabika, T., Otsuka, K., Sasaki, T., Suzawa, T., Morii, T., Yamori, Y., Saruta, T. (2000). Selective genotyping with epistasis can be utilized for a major quantitative trait locus mapping in hypertension in rats. Genetics, 155: 785–792.
  15. Oluyemi, J.A., Roberts, F.A. (2007). ‘Poultry Production in Warm wet Climates.,.’ (Spectrum Books Limited: Ibadan, Nigeria).
  16. Omeje, S.I., Mohammed, D.I., Njoku, P.C. (2013). ‘Animal agricultural production and nutrition: Policies & Plans, Research Reviews and General Education. In: Nigeria’s Agricultural Transformation Agenda. Book of Occasional Scientific Publication.’ (University of Nigeria, Press Ltd: Nsukka, Nigeria).
  17. Primmer, C.R., Borge, T., Lindell, J., Sinatetre, G.P. (2002). Single-nucleotide polymorphism characterization in species with limited available sequence information: high nucleotide diversity revealed in the avian genome. Molecular Ecology, 11: 603–612.
  18. Sambrook, J., Russel, D.W. (2001). Rapid isolation of yeast DNA. In: Molecular cloning, a laboratory manual (Sambrook J and Russel DW, eds.). Cold Spring Harbor Laboratory, New York, 631-632.
  19. SAS, Institute. (2008). ‘SAS user’s guide: statistics.’ (Sas Inst).
  20. Shimomura, K., Low-Zeddies, S.S., King, D.P., Steeves, T.D., Whiteley, A., Kushla, J., et al (2001). Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Genome Research, 11: 959–980.
  21. Sonaiya, E.B. (1990). Toward sustainable poultry production in Africa. FAO expert consultation on strategies for sustainable animal agriculture in developing countries, Rome, Italy.
  22. Tadelle, D., Kijora, C., Peters, K.J. (2003). Indigenous chicken ecotypes in Ethiopia: growth and feed utilization potentials. International Journal of Poultry Science, 2: 144–152.
  23. Thakur, M.S., Parmar, S.N.S, Chaudhari, M.V., Bhardwaj, J.K. (2009). Growth hormone gene polymorphism and its association with egg production in Kadaknath chicken. Livestock Research for Rural Development, 21: 1725-1730.
  24. Yang, X., Liang, T., Zhang, X., Yang, S., Wu, P., Xiao, Y., Chen, X., Yan, J.S., Sheng, J. (2018). Examination of polymorphisms in the sequence encoding the extracellular domain of Suffolk and Kazan Sheep’s Toll like receptor 7. Indian Journal of Animal Research, 52: 233–236.
  25. Zhang, X., Zou, F., Wang, W. (2008). Fastanova: an efficient algorithm for genome-wide association study. In ‘Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining’, 821–829. (ACM). 
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Indian Journal of Animal Research
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    Research Article

    volume 53 issue 12 (december 2019) : 1559-1565,   Doi: 10.18805/ijar.B-1077

    Influence of chicken growth hormone (cGH) SNP genotypes on morphometric and growth traits of three chicken breeds in Nigeria.

    O
    O.L. Okafor
    V
    V.M.O Okoro
    C
    C.A. Mbajiorgu
    I
    I.C. Okoli
    I
    I.P. Ogbuewu
    U
    U.E. Ogundu
    1Department of Agriculture and Animal Health, University of South Africa, Florida Science Campus, Johannesburg, South Africa.
    Cite article:- Okafor O.L., Okoro V.M.O, Mbajiorgu C.A., Okoli I.C., Ogbuewu I.P., Ogundu U.E. (2019). Influence of chicken growth hormone (cGH) SNP genotypes on morphometric and growth traits of three chicken breeds in Nigeria.. Indian Journal of Animal Research. 53(12): 1559-1565. doi: 10.18805/ijar.B-1077.

    ABSTRACT

    This study was conducted to identify the diversity of chicken growth hormone (cGH) single nucleotide polymorphs’ (SNP) and their association on morphometric and growth traits of three Nigerian chicken breeds namely Funaab Alpha (FA), Shikabrown (SB) and Nigerian local chicken (NLC). Morphometric traits measured include shank length (cm), breast girth (cm) and breast width (cm) while growth traits measured were final body weight, av. weight gain, feed intake and feed conversion ratio all at laying stages respectively.  Morphometric and growth traits were significantly influenced (P<0.05) between the different breeds.  The SNP panel showed two base pair substitution mutation (GT and CA) on locus 5 chromosome for the FA and locus 6 chromosome for the SB and NLC respectively. The G – T alignment produced genotypes GG and GT, with TT not observed. Also C – A alignment produced genotypes CC and CA, with AA not observed. The NLC breed had the highest number of haplotypes of 6 while FA and SB had 4 haplotypes each implying that the local breed had more allelic variation than the other two breeds. Also FA had heterozygosity of 0.48 while SB and NLC had a value of 0.44, indicating higher genetic variability of FA breed than the rest with negative theta value (-0.0843) of F-statistics indicating high level of outbreeding. The conducted association of SNP genotypes showed no significant association effects (P>0.05) on the morphometric traits, except for SB breed where CA genotypes was significantly associated with CC for bodyweight, and in NLC breed where CC genotype was also significantly associated with CA genotypes for shank length. 

    REFERENCES

    1. Adene, D.F. (2004). Sustainable indigenous poultry management and development programme in poultry health and production: Principles and practices. (Stirling–Horden Pub. Nig. Ltd.: Ibadan, Nigeria.).
    2. Apa, R., Lanzone, A., Miceli, F., Mastrandrea, M., Caruso, A., Mancuso, S. and Canipari, R. (1994). Growth hormone induces in vitro maturation of follicle-and cumulus-enclosed rat oocytes. Molecular and cellular endocrinology, 106: 207–212. 
    3. Chromas (2018) Chromas version 2.6.5 (2018), Technelysium Ptv Ltd,.
    4. Fayeye, T.R., Ayorinde, K.L., Ojo, V., Adesina, O.M. (2006). Frequency and influence of some major genes on body weight and body size parameters of Nigerian local chickens. Livestock Research for Rural Development, 18: 37-42.
    5. Ilori, B.M., Wheto, M., Durosaro, S.O., Akano, K., Adebambo, A.O., Adebambo, O.A. (2016). Polymorphisms of IGF-1 promoter and the UTR regions of Nigerian locally adapted chickens. Journal of Biology, Agriculture and Healthcare 6: 145–150.
    6. Kansaku, N., Hiyama, G., Sasanami, T., Zadworny, D. (2008). Prolactin and growth hormone in birds: protein structure, gene structure and genetic variation. Journal of Poultry Science, 45: 1–6.
    7. Kuhnlein, U., Ni, L., Zadworny, D., Weigend, S., Gavora, J.S., Fairfull, W. (1997). DNA polymorphisms in the chicken growth hormone gene: response to selection for disease resistance and association with egg production. Animal Genetics, 28: 116–123.
    8. Kumar, S., Stecher, G., Li, M., Knyaz, C., Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution, 35: 1547–1549.
    9. Lei, M.M., Nie, Q.H., Peng, X., Zhang, D.X., Zhang, X.Q. (2005). Single nucleotide polymorphisms of the chicken insulin-like factor binding protein 2 gene associated with chicken growth and carcass traits. Poultry Science, 84: 1191–1198.
    10. Msoffe, P.L.M., Mtambo, M.M.A., Minga, U.M., Gwakisa, P.S., Mdegela, R.H., Olsen, J.E. (2002). Productivity and natural disease resistance potential of free-ranging local chicken ecotypes in Tanzania. Livestock Research for Rural Development, 14: 2002-2008.
    11. NIAS, Newsletter. (2018). Nigerian Institute of Animal Science Newsletter, 2(16): 1-2. http://www.NIAS%20Newsletter%20August, %202018-min.pdf.
    12. Nie, Q., Sun, B., Zhang, D., Luo, C., Ishag, N.A., Lei, M., Yang, G., Zhang, X. (2005). High diversity of the chicken growth hormone gene and effects on growth and carcass traits. Journal of Heredity, 96: 698–703.
    13. Ogbu, C.C., Nwosu, C.C., Tule, J.J. (2013). Effect of genotype and nutrition on growth performance of indigenous chickens. ‘Nigeria’s Agricultural transformation agenda.’ Book of Occasional Scientific Publication,.(University of Nigeria, Press Ltd.)
    14. Ohno, Y., Tanase, H., Nabika, T., Otsuka, K., Sasaki, T., Suzawa, T., Morii, T., Yamori, Y., Saruta, T. (2000). Selective genotyping with epistasis can be utilized for a major quantitative trait locus mapping in hypertension in rats. Genetics, 155: 785–792.
    15. Oluyemi, J.A., Roberts, F.A. (2007). ‘Poultry Production in Warm wet Climates.,.’ (Spectrum Books Limited: Ibadan, Nigeria).
    16. Omeje, S.I., Mohammed, D.I., Njoku, P.C. (2013). ‘Animal agricultural production and nutrition: Policies & Plans, Research Reviews and General Education. In: Nigeria’s Agricultural Transformation Agenda. Book of Occasional Scientific Publication.’ (University of Nigeria, Press Ltd: Nsukka, Nigeria).
    17. Primmer, C.R., Borge, T., Lindell, J., Sinatetre, G.P. (2002). Single-nucleotide polymorphism characterization in species with limited available sequence information: high nucleotide diversity revealed in the avian genome. Molecular Ecology, 11: 603–612.
    18. Sambrook, J., Russel, D.W. (2001). Rapid isolation of yeast DNA. In: Molecular cloning, a laboratory manual (Sambrook J and Russel DW, eds.). Cold Spring Harbor Laboratory, New York, 631-632.
    19. SAS, Institute. (2008). ‘SAS user’s guide: statistics.’ (Sas Inst).
    20. Shimomura, K., Low-Zeddies, S.S., King, D.P., Steeves, T.D., Whiteley, A., Kushla, J., et al (2001). Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice. Genome Research, 11: 959–980.
    21. Sonaiya, E.B. (1990). Toward sustainable poultry production in Africa. FAO expert consultation on strategies for sustainable animal agriculture in developing countries, Rome, Italy.
    22. Tadelle, D., Kijora, C., Peters, K.J. (2003). Indigenous chicken ecotypes in Ethiopia: growth and feed utilization potentials. International Journal of Poultry Science, 2: 144–152.
    23. Thakur, M.S., Parmar, S.N.S, Chaudhari, M.V., Bhardwaj, J.K. (2009). Growth hormone gene polymorphism and its association with egg production in Kadaknath chicken. Livestock Research for Rural Development, 21: 1725-1730.
    24. Yang, X., Liang, T., Zhang, X., Yang, S., Wu, P., Xiao, Y., Chen, X., Yan, J.S., Sheng, J. (2018). Examination of polymorphisms in the sequence encoding the extracellular domain of Suffolk and Kazan Sheep’s Toll like receptor 7. Indian Journal of Animal Research, 52: 233–236.
    25. Zhang, X., Zou, F., Wang, W. (2008). Fastanova: an efficient algorithm for genome-wide association study. In ‘Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining’, 821–829. (ACM). 
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