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Current IssueEditorial BoardOnline First ArticlesArchive

volume 49 issue 1 (february 2015) : 1-7,   Doi: 10.5958/0976-0555.2015.00001.1

Study of genetic polymorphism of various chicken breeds using microsatellite markers

B
B. Deshmukh*
D
D. Kumar
N
N. Kashyap
D
D. Sharma
1College of Veterinary and Animal Sciences, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145, India.
Cite article:- Deshmukh* B., Kumar D., Kashyap N., Sharma D. (2025). Study of genetic polymorphism of various chicken breeds using microsatellite markers. Indian Journal of Animal Research. 49(1): 1-7. doi: 10.5958/0976-0555.2015.00001.1.

ABSTRACT

A total number of 76 randomly selected birds i.e. 20 of Hill fowl (HF), 14 of Rhode Island Red (RIR), 14 of Kadaknath (KN), 14 of White LeghWDDorn (WLH) and 14 of White Cornish (WC) were genotyped using 25 microsatellite markers in the present study. Out of 25 microsatellite loci, 17 (~70%) were found to be polymorphic among these breeds. Across the breeds, total number of alleles ranged from 2 to 3 at polymorphic locus and average number of alleles per locus was 2.41. The allele size ranged between 98 bp and 340 bp. Among all the polymorphic microsatellite loci,  observed heterozygosity were 0.441, 0.415, 0.287, 0.296 and 0.376  and expected heterozygosity were 0.435, 0.443, 0.387, 0.384 and 0.442 in HF, RIR, KN, WLH and WC, respectively. Polymorphic Information Content (PIC) estimates, across all the polymorphic loci were 0.346, 0.342, 0.305, 0.297 and 0.330 in HF, RIR, KN, WLH and WC, respectively.

REFERENCES

  1. Alipanah, M., Torkamanzehi A., Amiry Z. and Rabani F. (2011). Study of genetic diversity of Dashtiari, Khazak and Zabol chickens using microsatellite markers. Trakia J. Sci., 9: 76-81.
  2. Arya, R., Kataria M.C., Kumar S. And Sharma D. (2011). STR marker analysis in chicken resource population developed for identifying egg production-specific marker as an aid to marker-assisted selection. In: Proceedings of National conference on New horizons animal breeding technologies for accelerating livestock production and health. pp. 177-178. 20-21 January, 2011. Izatnagar, India.
  3. Botstein, D., White R.L., Skolnick M., and Davis R.W. (1980). Construction of a genetic linkage map in man using restriction fragment length polymorphism. Am. J. Hum. Genet., 32: 314-331.
  4. Chatterjee, R.N., Bhattacharya T.K., Dange M. and Rajkumar U. (2010). Assessment of genetic relatedness of crossbred chicken populations using microsatellite markers. Biochem. Genet., 48: 727-736.
  5. Cheng, H.J., Yue Y.S., Fan X.Z., Zhang C.S. and Du L.X. (2003). Analysis of genetic diversity of Shandong indigenous chicken breeds using microsatellite marker. Yi Chuan Xue Bao, 30: 855-860.
  6. Clementino, C.S., Barbosa F.J.V., Carvalho A.M.F., Costa-Filho R.A.R., Silva G.R., Campelo E.G., Britto F.B. and Diniz F.M. (2010). Microsatellite DNA loci for population studies in Brazilian chicken ecotypes. Int. J. Poult. Sci., 9: 1100-1106.
  7. FAO (2007). The State of the World’s Animal Genetic Resources for Food and Agriculture, edited by B. Rischkowsky and D. Pilling. Rome.
  8. Haunshi, S. and Sharma D. (2006). Prediction of parental genomic proportion in chicken population using microsatellite markers. Indian J. Anim. Sci., 76: 159-162.
  9. Hillel, J., Groenen M.A.M., Tixier Boichard M., Korol A.B., David L., Kirzhner V.M., Burke T., Barre Dirie A., Crooijmans R.P.M.A., Elo K., Feldman M.W, Freidlin P.J., Maki Tanila A., Oortwijin M., Thomson P., Vignal A., Wimmers K., and Weigend S. (2003). Biodiversity of 52 chicken populations assessed by microsatellite typing of DNA pools. Genet. Sel. Evol., 35: 553-557.
  10. Kagami, H., Nakamura H. and Tomita T. (1990). Sex identifica­tion in chickens by means of the presence of the W chromo­some-specific repetitive DNA units. Japan Poult. Sci., 27: 379-384.
  11. Kaiser, M.G., Yonash N., Cahaner A. and Lament S.J. (2000). Microsatellite polymorphism between and within broiler populations. Poult. Sci., 79: 626-628.
  12. Karaca, M., Karaca F.G., Patel C. and Emara M.G. (1999). Preliminary analysis of microsatellite loci in commercial broiler chickens. Proceedings of the plant and Animal genome VII Conference, San Diego, pp. 155.
  13. Kumar, V. (2009). Species specific DNA markers to monitor gene flow between Red Jungle Fowl (Gallus gallus) and Domesticated chicken (Gallus gallus domesticus). Ph.D. Thesis, Bundelkhand University, Jhansi, Uttar Pradesh, India.
  14. Miao, Y.W., Ye L.H., Chen T., Huo J.L. and Li D.L. (2009). DNA polymorphisms of black-bone chicken population in Wenshan mountainous region based on microsatellite markers. J. Yunnan Agric. Univ., 24: 63-66.
  15. Nakamura, A., Kino K., Minezawa M., Noda K. and Takahashi H. (2006). A method for discriminating a Japanese chicken, the Nagoya breed, using microsatellite markers. Poult. Sci., 85: 2124-2129.
  16. Pandey, A.K., Mishra B., Choudhary P., Tantia M.S. and Vijh R.K. (2003). Microsatellite analysis in three breeds of Indian poultry. Indian J. Anim. Sci., 73: 788-792.
  17. Phangchopi, D. (2010). Studies on genetic diversity using microsatellite markers and polymorphism of IGF-I gene in Uttara fowl. M. V. Sc. Thesis, G.B.P.U.A&T, Pantnagar, Uttarakhand, India.
  18. Qu, L., Li X., Xu G., Chen K., Yang H., Zhang L., Wu G. , Hou Z. , Xu G. and Yang N. (2006). Evaluation of genetic diversity in Chinese indigenous chicken breeds using microsatellite markers. Science in China C: Life Sci., 49: 332-341.
  19. Shahbazi, S., Mirhosseini S.Z. and Romanov M.N. (2007). Genetic diversity in five Iranian native chicken populations estimated by microsatellite markers. Biochem. Genet., 45: 63-75.
  20. Tadano, R., Sekino M., Nishibori M. and Tsudzuki M. (2007). Microsatellite marker analysis for the genetic relationships among Japanese long-tailed chicken breeds. Poult. Sci., 86: 460-469.
  21. Vanhala, T., Tuiskula-Haavisto M., Elo K., Vilkki J. and Maki-Tanila A. (1998). Evaluation of genetic variability and genetic distances between eight chicken lines using microsatellite markers. Poult. Sci., 77: 783-790.
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    volume 49 issue 1 (february 2015) : 1-7,   Doi: 10.5958/0976-0555.2015.00001.1

    Study of genetic polymorphism of various chicken breeds using microsatellite markers

    B
    B. Deshmukh*
    D
    D. Kumar
    N
    N. Kashyap
    D
    D. Sharma
    1College of Veterinary and Animal Sciences, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145, India.
    Cite article:- Deshmukh* B., Kumar D., Kashyap N., Sharma D. (2025). Study of genetic polymorphism of various chicken breeds using microsatellite markers. Indian Journal of Animal Research. 49(1): 1-7. doi: 10.5958/0976-0555.2015.00001.1.

    ABSTRACT

    A total number of 76 randomly selected birds i.e. 20 of Hill fowl (HF), 14 of Rhode Island Red (RIR), 14 of Kadaknath (KN), 14 of White LeghWDDorn (WLH) and 14 of White Cornish (WC) were genotyped using 25 microsatellite markers in the present study. Out of 25 microsatellite loci, 17 (~70%) were found to be polymorphic among these breeds. Across the breeds, total number of alleles ranged from 2 to 3 at polymorphic locus and average number of alleles per locus was 2.41. The allele size ranged between 98 bp and 340 bp. Among all the polymorphic microsatellite loci,  observed heterozygosity were 0.441, 0.415, 0.287, 0.296 and 0.376  and expected heterozygosity were 0.435, 0.443, 0.387, 0.384 and 0.442 in HF, RIR, KN, WLH and WC, respectively. Polymorphic Information Content (PIC) estimates, across all the polymorphic loci were 0.346, 0.342, 0.305, 0.297 and 0.330 in HF, RIR, KN, WLH and WC, respectively.

    REFERENCES

    1. Alipanah, M., Torkamanzehi A., Amiry Z. and Rabani F. (2011). Study of genetic diversity of Dashtiari, Khazak and Zabol chickens using microsatellite markers. Trakia J. Sci., 9: 76-81.
    2. Arya, R., Kataria M.C., Kumar S. And Sharma D. (2011). STR marker analysis in chicken resource population developed for identifying egg production-specific marker as an aid to marker-assisted selection. In: Proceedings of National conference on New horizons animal breeding technologies for accelerating livestock production and health. pp. 177-178. 20-21 January, 2011. Izatnagar, India.
    3. Botstein, D., White R.L., Skolnick M., and Davis R.W. (1980). Construction of a genetic linkage map in man using restriction fragment length polymorphism. Am. J. Hum. Genet., 32: 314-331.
    4. Chatterjee, R.N., Bhattacharya T.K., Dange M. and Rajkumar U. (2010). Assessment of genetic relatedness of crossbred chicken populations using microsatellite markers. Biochem. Genet., 48: 727-736.
    5. Cheng, H.J., Yue Y.S., Fan X.Z., Zhang C.S. and Du L.X. (2003). Analysis of genetic diversity of Shandong indigenous chicken breeds using microsatellite marker. Yi Chuan Xue Bao, 30: 855-860.
    6. Clementino, C.S., Barbosa F.J.V., Carvalho A.M.F., Costa-Filho R.A.R., Silva G.R., Campelo E.G., Britto F.B. and Diniz F.M. (2010). Microsatellite DNA loci for population studies in Brazilian chicken ecotypes. Int. J. Poult. Sci., 9: 1100-1106.
    7. FAO (2007). The State of the World’s Animal Genetic Resources for Food and Agriculture, edited by B. Rischkowsky and D. Pilling. Rome.
    8. Haunshi, S. and Sharma D. (2006). Prediction of parental genomic proportion in chicken population using microsatellite markers. Indian J. Anim. Sci., 76: 159-162.
    9. Hillel, J., Groenen M.A.M., Tixier Boichard M., Korol A.B., David L., Kirzhner V.M., Burke T., Barre Dirie A., Crooijmans R.P.M.A., Elo K., Feldman M.W, Freidlin P.J., Maki Tanila A., Oortwijin M., Thomson P., Vignal A., Wimmers K., and Weigend S. (2003). Biodiversity of 52 chicken populations assessed by microsatellite typing of DNA pools. Genet. Sel. Evol., 35: 553-557.
    10. Kagami, H., Nakamura H. and Tomita T. (1990). Sex identifica­tion in chickens by means of the presence of the W chromo­some-specific repetitive DNA units. Japan Poult. Sci., 27: 379-384.
    11. Kaiser, M.G., Yonash N., Cahaner A. and Lament S.J. (2000). Microsatellite polymorphism between and within broiler populations. Poult. Sci., 79: 626-628.
    12. Karaca, M., Karaca F.G., Patel C. and Emara M.G. (1999). Preliminary analysis of microsatellite loci in commercial broiler chickens. Proceedings of the plant and Animal genome VII Conference, San Diego, pp. 155.
    13. Kumar, V. (2009). Species specific DNA markers to monitor gene flow between Red Jungle Fowl (Gallus gallus) and Domesticated chicken (Gallus gallus domesticus). Ph.D. Thesis, Bundelkhand University, Jhansi, Uttar Pradesh, India.
    14. Miao, Y.W., Ye L.H., Chen T., Huo J.L. and Li D.L. (2009). DNA polymorphisms of black-bone chicken population in Wenshan mountainous region based on microsatellite markers. J. Yunnan Agric. Univ., 24: 63-66.
    15. Nakamura, A., Kino K., Minezawa M., Noda K. and Takahashi H. (2006). A method for discriminating a Japanese chicken, the Nagoya breed, using microsatellite markers. Poult. Sci., 85: 2124-2129.
    16. Pandey, A.K., Mishra B., Choudhary P., Tantia M.S. and Vijh R.K. (2003). Microsatellite analysis in three breeds of Indian poultry. Indian J. Anim. Sci., 73: 788-792.
    17. Phangchopi, D. (2010). Studies on genetic diversity using microsatellite markers and polymorphism of IGF-I gene in Uttara fowl. M. V. Sc. Thesis, G.B.P.U.A&T, Pantnagar, Uttarakhand, India.
    18. Qu, L., Li X., Xu G., Chen K., Yang H., Zhang L., Wu G. , Hou Z. , Xu G. and Yang N. (2006). Evaluation of genetic diversity in Chinese indigenous chicken breeds using microsatellite markers. Science in China C: Life Sci., 49: 332-341.
    19. Shahbazi, S., Mirhosseini S.Z. and Romanov M.N. (2007). Genetic diversity in five Iranian native chicken populations estimated by microsatellite markers. Biochem. Genet., 45: 63-75.
    20. Tadano, R., Sekino M., Nishibori M. and Tsudzuki M. (2007). Microsatellite marker analysis for the genetic relationships among Japanese long-tailed chicken breeds. Poult. Sci., 86: 460-469.
    21. Vanhala, T., Tuiskula-Haavisto M., Elo K., Vilkki J. and Maki-Tanila A. (1998). Evaluation of genetic variability and genetic distances between eight chicken lines using microsatellite markers. Poult. Sci., 77: 783-790.
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