Banner
Current IssueEditorial BoardOnline First ArticlesArchive
Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 53 issue 5 (may 2019) : 566-571,   Doi: 10.18805/ijar.B-3578

Identification of genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population

T
T. Karuthadurai
A
A.K. Chakravarthy
A
A. Kumaresan
A
Aneet Kour
B
B.S. Pradeep Nag
E
Ekta Rana
D
D. Ravikumar
S
Saleem Yousuf
1Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal-132 001, Haryana, India.
Cite article:- Karuthadurai T., Chakravarthy A.K., Kumaresan A., Kour Aneet, Nag Pradeep B.S., Rana Ekta, Ravikumar D., Yousuf Saleem (2018). Identification of genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population. Indian Journal of Animal Research. 53(5): 566-571. doi: 10.18805/ijar.B-3578.

ABSTRACT

The study was conducted to identify the genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population. PCR-RFLP was carried out by using Rsa1 restriction endonuclease and revealed three genotypes GG, GA and AA in Sahiwal population. The frequency of G and A allele of Prolactin gene (exon 3) was estimated as 0.575 and 0.425, whereas the frequencies of GG, GA and AA genotypes for Prolactin gene (exon 3) were estimated as 0.45, 0.25 and 0.30, respectively. Regression analysis inferred that, SNP (G55A) of prolactin gene (exon 3) contributed to an increase in the average test day milk yield by 321.5g which was 3.92% of the average test day milk yield. Forty Sahiwal animals (20 families) under Daughter- Dam Design were screened and it was observed that one SNP (G55A) was found in all the nine families (45%) having heterozygous (GA) genotype. Thus, it could be considered as a potential genetic marker for high milk production in Sahiwal population.

REFERENCES

  1. Anonymous (2012). 19th livestock census. Department of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture. Govt. of India.
  2. Basic Animal Husbandry Survey, (2016).
  3. Barendse, W., Vaiman, D., Kemp, S.J., Sugimoto, Y., Armitage, S.M., (1997). A medium-density genetic linkage map of the bovine genome. Mamm. Genet. 8: 21-28.
  4. Biocharda , Vincent Ducrocqa, Pascal Croiseaua Sébastien Fritzb et al., (2016). Genomic selection in domestic animals: Principles, applications and perspectives. Comptes Rendus Biologies Volume 339. Issues 7-8.
  5. Falconer, D.S. and Mackay, T.F.C. (1996). Introduction to Quantitative Genetics. Longman Group Limited.
  6. Feysot, G., S. A. Jebb and A. M. Prentice. (1998). Leptin: physiology and pathophysiology. Clin. Physiol. 18:399-419.
  7. Jonas and Dirk-Jan de Koning (2015). Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs Frontiers Genetics Journal List Front Genet v.6; 2015. Neuroendocrinology, 35: 292-304.
  8. Horseman N.D., Zhao W., Montecino-Rodriguez E., Tanaka M., Nakashima K., Larkin, M.A., Blackshields, G., Brown, N.P., Chenna, R., Mc Gettigan, P.A., Mc William, H., Valentin, F. and Wallace, I.M. (1997). ClustalW and ClustalX version 2.0.2.0.    Bioinformatics.23: 2947–2948 
  9. Larkin, M.A., Blackshields, G., Brown, N.P., Chenna, R., McGettigan, P.A., McWilliam, H.,Valentin, F. and Wallace, I.M. (2007). ClustalW and ClustalX version 2.0. Bioinformatics. 23: 2947–2948.
  10. Lewin, H.A., Schmitt, K., Hubert, R., Van, E.M.J., Arnheim, N. (1992). Close linkage between bovine PRL-Rsa I and BoLA-DRB3 genes: genetic mapping in cattle by single sperm typing. Genomics, 13: 44-48.
  11. Loretz, C.A., Bern, H.A. (1982 ). Prolactin and Osmoregulation in vertebrates Raja, T.V. (2010). Part lactation records for Sahiwal sire evaluation. Ph. D. Thesis, NDRI, Karnal, India
  12. Sambrook, J. and 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.
  13. Singh, V. K., Singh, C.V., Kumar, A. (2005). Genetic evaluation of some economic in Sahiwal and its crossbreds. Indian J. Dairy Sci., 58(3):206-210.
  14. Snedecor, G.W. and Cochran, W.G. (1994). Statistical Methods. Oxford& IBH Publ.Co., New Delhi, India.
  15. Wakchaure R, Ganguly S, Praveen PK, Kumar A, Sharma S. (2015) Marker Assisted Selection (MAS) in Animal Breeding: A Review. J Drug Metab Toxicol 6: e127. 
  16. Wang, C.L., Ma. Pei-Pie, Zhang, Zhe, Ding, X.D., Liu, Jian-Feng, Fu, W.X., Weng, Z.Q, Zhang, Qin. (2011). Comparison of five methods for genomic breeding value estimation forThe common data set of the 15th QTL-MAS Workshop. 15th European workshop on QTLMapping and marker assisted selection (QTLMAS).
  17. Wiggans, G.R., Vanraden, P.M., Cooper, T.A. (2011). The genomic evaluation system in the United States: Past, present, future. Journal of Dairy Science. 94(6):3202-11 
Published In
Indian Journal of Animal Research
Article Metrics
Metrics Icon
0
Views
0
Citations
Reviewed By
Share Article
Download Article
In this Article
    Contact us
    Follow us

    Research Article

    volume 53 issue 5 (may 2019) : 566-571,   Doi: 10.18805/ijar.B-3578

    Identification of genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population

    T
    T. Karuthadurai
    A
    A.K. Chakravarthy
    A
    A. Kumaresan
    A
    Aneet Kour
    B
    B.S. Pradeep Nag
    E
    Ekta Rana
    D
    D. Ravikumar
    S
    Saleem Yousuf
    1Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal-132 001, Haryana, India.
    Cite article:- Karuthadurai T., Chakravarthy A.K., Kumaresan A., Kour Aneet, Nag Pradeep B.S., Rana Ekta, Ravikumar D., Yousuf Saleem (2018). Identification of genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population. Indian Journal of Animal Research. 53(5): 566-571. doi: 10.18805/ijar.B-3578.

    ABSTRACT

    The study was conducted to identify the genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population. PCR-RFLP was carried out by using Rsa1 restriction endonuclease and revealed three genotypes GG, GA and AA in Sahiwal population. The frequency of G and A allele of Prolactin gene (exon 3) was estimated as 0.575 and 0.425, whereas the frequencies of GG, GA and AA genotypes for Prolactin gene (exon 3) were estimated as 0.45, 0.25 and 0.30, respectively. Regression analysis inferred that, SNP (G55A) of prolactin gene (exon 3) contributed to an increase in the average test day milk yield by 321.5g which was 3.92% of the average test day milk yield. Forty Sahiwal animals (20 families) under Daughter- Dam Design were screened and it was observed that one SNP (G55A) was found in all the nine families (45%) having heterozygous (GA) genotype. Thus, it could be considered as a potential genetic marker for high milk production in Sahiwal population.

    REFERENCES

    1. Anonymous (2012). 19th livestock census. Department of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture. Govt. of India.
    2. Basic Animal Husbandry Survey, (2016).
    3. Barendse, W., Vaiman, D., Kemp, S.J., Sugimoto, Y., Armitage, S.M., (1997). A medium-density genetic linkage map of the bovine genome. Mamm. Genet. 8: 21-28.
    4. Biocharda , Vincent Ducrocqa, Pascal Croiseaua Sébastien Fritzb et al., (2016). Genomic selection in domestic animals: Principles, applications and perspectives. Comptes Rendus Biologies Volume 339. Issues 7-8.
    5. Falconer, D.S. and Mackay, T.F.C. (1996). Introduction to Quantitative Genetics. Longman Group Limited.
    6. Feysot, G., S. A. Jebb and A. M. Prentice. (1998). Leptin: physiology and pathophysiology. Clin. Physiol. 18:399-419.
    7. Jonas and Dirk-Jan de Koning (2015). Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs Frontiers Genetics Journal List Front Genet v.6; 2015. Neuroendocrinology, 35: 292-304.
    8. Horseman N.D., Zhao W., Montecino-Rodriguez E., Tanaka M., Nakashima K., Larkin, M.A., Blackshields, G., Brown, N.P., Chenna, R., Mc Gettigan, P.A., Mc William, H., Valentin, F. and Wallace, I.M. (1997). ClustalW and ClustalX version 2.0.2.0.    Bioinformatics.23: 2947–2948 
    9. Larkin, M.A., Blackshields, G., Brown, N.P., Chenna, R., McGettigan, P.A., McWilliam, H.,Valentin, F. and Wallace, I.M. (2007). ClustalW and ClustalX version 2.0. Bioinformatics. 23: 2947–2948.
    10. Lewin, H.A., Schmitt, K., Hubert, R., Van, E.M.J., Arnheim, N. (1992). Close linkage between bovine PRL-Rsa I and BoLA-DRB3 genes: genetic mapping in cattle by single sperm typing. Genomics, 13: 44-48.
    11. Loretz, C.A., Bern, H.A. (1982 ). Prolactin and Osmoregulation in vertebrates Raja, T.V. (2010). Part lactation records for Sahiwal sire evaluation. Ph. D. Thesis, NDRI, Karnal, India
    12. Sambrook, J. and 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.
    13. Singh, V. K., Singh, C.V., Kumar, A. (2005). Genetic evaluation of some economic in Sahiwal and its crossbreds. Indian J. Dairy Sci., 58(3):206-210.
    14. Snedecor, G.W. and Cochran, W.G. (1994). Statistical Methods. Oxford& IBH Publ.Co., New Delhi, India.
    15. Wakchaure R, Ganguly S, Praveen PK, Kumar A, Sharma S. (2015) Marker Assisted Selection (MAS) in Animal Breeding: A Review. J Drug Metab Toxicol 6: e127. 
    16. Wang, C.L., Ma. Pei-Pie, Zhang, Zhe, Ding, X.D., Liu, Jian-Feng, Fu, W.X., Weng, Z.Q, Zhang, Qin. (2011). Comparison of five methods for genomic breeding value estimation forThe common data set of the 15th QTL-MAS Workshop. 15th European workshop on QTLMapping and marker assisted selection (QTLMAS).
    17. Wiggans, G.R., Vanraden, P.M., Cooper, T.A. (2011). The genomic evaluation system in the United States: Past, present, future. Journal of Dairy Science. 94(6):3202-11 
    In this Article
      Contact us
      Follow us
      Published In
      Indian Journal of Animal Research

      Editorial Board

      View all (0)