Hazra chicken: A precious germplasm in need of immediate scientific intervention


175 / 94

Authors

  • REKHA SHARMA ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
  • HIMANI SHARMA ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
  • SONIKA AHLAWAT ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
  • N BARIK ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
  • P K SINGH ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India
  • M S TANTIA ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132 001 India

https://doi.org/10.56093/ijans.v87i5.70245

Keywords:

Bottleneck, Genetic diversity, Hazra chicken, Heterozygote deficiency, Indian poultry, Microsatellite markers

Abstract

Indian poultry diversity is still largely unexplored, even though more than half of the germplasm is endangered. The present study was planned to ascertain the genetic diversity of local poultry population of Odisha (Hazra) using 25 Simple Sequence Repeat markers. All the loci were retained for diversity analysis due to their behavior as neutral markers in this population. Hazra chicken population was found to host a very high level of diversity. This conclusion is based on the large number of alleles observed across loci (average14.96, range 6-21), and by the high expected heterozygosity (average 0.80, range 0.50-0.92). In spite of high within-breed variation, signatures of inbreeding were detected by the FIS index, which was positive (0.218±0.03) in the population. Hazra chicken population presented the highest heterozygote deficiency as compared to all the 17 recognized poultry breeds of India. Nonsignificant heterozygote excess on the basis of infinite allele model (IAM) along with a normal 'L'-shaped distribution of mode-shift analysis test, indicated an absence of bottleneck. In summary, molecular data conclude that Hazra population possesses a very interesting pool of chicken genetic resources due to their high genetic diversity. Increased level of inbreeding is indicating that flock management and reproduction strategies deserve attention.

Downloads

Download data is not yet available.

References

Abebe A S, Mikko S and Johansson A M. 2015. Genetic diversity of five local Swedish chicken breeds detected by microsatellite markers. PLoS One 10: e0120580. DOI: https://doi.org/10.1371/journal.pone.0120580

Alipanah M, Torkamanzehi A and Rabbani F. 2011. Study of genetic diversity of Dashtiari, Khazak and Zabol chickens using microsatellite markers. Trakia Journal of Sciences 9: 76–81. DOI: https://doi.org/10.1109/ICBBT.2010.5478925

Barik N. 2016. Proceeding of XIV Annual Review Meet on Network Project on Animal Genetic Resources.

Barker J S F. 1994. A global protocol for determining genetic distances among domestic livestock breeds. Proceedings of the 5th World Congress on Genetics Applied to Livestock Production, Guelph and Ontario, Canada. pp 501–508.

Ben-Avraham D, Blum S, Granevitze Z, Weigend S, Cheng H and Hillel J. 2006. W-specific microsatellite loci detected by in-silico analysis map to chromosome Z of the chicken genome. Animal Genetics 37: 180–81. DOI: https://doi.org/10.1111/j.1365-2052.2006.01420.x

Boettcher P J, Tixier Boichard M, Toro M A, Simianer H, Eding H, Gandini G, Joost S, Garcia D, Colli L and Ajmone-Marsan P. 2010. Objectives, criteria and methods for using molecular genetic data in priority setting for conservation of animal genetic resources. Animal Genetics 41: 64–77. DOI: https://doi.org/10.1111/j.1365-2052.2010.02050.x

Cornuet J M and Luikart G. 1996. Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data. Genetics 144: 2001–14. DOI: https://doi.org/10.1093/genetics/144.4.2001

Cuc N T K, Simianer H, Eding H, Tieu H V, Cuong V C, Wollny C B, Groeneveld L F and Weigend S. 2010. Assessing genetic diversity of Vietnamese local chicken breeds using microsatellites. Animal Genetics 41: 545–47. DOI: https://doi.org/10.1111/j.1365-2052.2010.02039.x

Di Rienzo A, Peterson A C, Garza J C, Valdes A M, Slatkin M and Freimer N B. 1994. Mutational processes of simple- sequence repeat loci in human populations. Proceeding of National Academy of Sciences USA 91: 3166–70. DOI: https://doi.org/10.1073/pnas.91.8.3166

Estoup A and Cornuet J M. 1999. Microsatellite evolution: inferences from population data. Microsatellites: Evolution

and Applications. (Eds) Goldstein D, Schlötterer C. Oxford University Press, New York. pp 49–65.

FAO. 2007. The State of the World’s Animal Genetic Resources for Food and Agriculture. (Eds) Barbara Rischkowsky and Dafydd Pilling. Rome, Italy. (http://www.fao.org/docrep/010/a1250e/a1250e00.htm).

Kaya M and Yildiz M A. 2008. Genetic diversity among Turkish native chickens, Denizli and Gerze estimated by microsatellite markers. Biochemical Genetics 46: 480–91. DOI: https://doi.org/10.1007/s10528-008-9164-8

Kumar V, Shukla S K, Mathew J and Sharma D. 2015. Genetic diversity and population structure analysis between Indian red jungle fowl and domestic chicken using microsatellite markers. Animal Biotechnology 26: 201–10. DOI: https://doi.org/10.1080/10495398.2014.983645

Luikart G and Cornuet J M. 1997. Empirical evaluation of a test for identifying recently bottlenecked populations from allele frequency data. Conservation Biology 12: 228–37. DOI: https://doi.org/10.1046/j.1523-1739.1998.96388.x

Luikart G, Allendorf F W, Cornuet J M and Sherwin W B. 1998. Distortion of allele frequency distributions provides a test for recent population bottlenecks. Journal of Heredity 89: 238– 47. DOI: https://doi.org/10.1093/jhered/89.3.238

Luikart G. 1997. ‘Usefulness of molecular markers for detecting population bottlenecks and monitoring genetic change’. Ph. D thesis, University of Montana, Missoula, USA.

Muchadeyi F C, Eding H, Wollny C B, Groeneveld E, Makuza S M, Shamseldin R, Simianer H and Weigend S. 2007. Absence of population substructuring in Zimbabwe chicken ecotypes inferred using microsatellite analysis. Animal Genetics 38: 332–39. DOI: https://doi.org/10.1111/j.1365-2052.2007.01606.x

Pandey A K, Kumar D, Sharma R, Sharma U, Vijh R K and Ahlawat S P S. 2005. Population structure and genetic bottleneck analysis of Ankleshwar poultry breed by microsatellite markers. Asian Australasian Journal of Animal Sciences18: 915–21. DOI: https://doi.org/10.5713/ajas.2005.915

Pandey A K, Tantia M S, Kumar D, Mishra B, Chaudhary P and Vijh R K. 2002. Microsatellite analysis of three poultry breeds of India. Asian Australasian Journal of Animal Sciences 15: 1536–42. DOI: https://doi.org/10.5713/ajas.2002.1536

Peakall R and Smouse P E. 2008. A heterogeneity test for fine- scale genetic structure. Molecular Ecology Notes 17: 3389– 3400. DOI: https://doi.org/10.1111/j.1365-294X.2008.03839.x

Phangchopi D, Kaur N, Kumar S, Singh L V, Somvanshi S P S and Singh B. 2014. Microsatellite based diversity estimation of Local hill fowl (Uttara fowl): A unique poultry strain of Uttarakhand. Indian Journal of Animal Sciences 84: 1318– 20.

Pirany N, Romanov M N, Ganpule S P, Devegowda G and Prasad D T. 2007. Microsatellite analysis of genetic diversity in Indian chicken populations. Journal of Poultry Sciences 44: 19–28. DOI: https://doi.org/10.2141/jpsa.44.19

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 Series C Life Sciences 49: 332–41. DOI: https://doi.org/10.1007/s11427-006-2001-6

Sharma R, Kishore A, Mukesh M, Ahlawat S, Maitra A, Pandey A K and Tantia M S. 2015. Genetic diversity and relationship of Indian cattle inferred from microsatellite and mitochondrial DNA markers. BMC Genetics 16: 73–84. DOI: https://doi.org/10.1186/s12863-015-0221-0

Sharma R, Maitra A, Singh P K and Tantia M S. 2013. Genetic diversity and relationship of cattle populations of east India: distinguishing lesser known cattle populations and established breeds based on STR markers. Springer Plus 2: 359–68. DOI: https://doi.org/10.1186/2193-1801-2-359

Spencer C C, Neigel J E and Leberg P L. 2000. Experimental evaluation of the usefulness of microsatellite DNA for detecting demographic bottlenecks. Molecular Ecology 9: 1517–28. DOI: https://doi.org/10.1046/j.1365-294x.2000.01031.x

Suh S, Sharma A, Lee S, Cho C Y, Kim J H, Choi S B, Kim H, Seong H H, Yeon S H, Kim D H and Ko Y G. 2014. Genetic diversity and relationships of Korean chicken breeds based on 30 microsatellite markers. Asian Australasian Journal of Animal Sciences 27: 1399–1405. DOI: https://doi.org/10.5713/ajas.2014.14016

Tantia M S, Vijh R K, Kumar S T B, Mishra B and Ahlawat S P S. 2006. Genetic diversity analysis of chicken breeds of India. Indian Journal of Animal Sciences 76: 1033–38.

Vijh R K and Tantia M S. 2004. Assignment of individuals to four poultry breeds of India using multilocus genotypes. Indian Journal of Animal Sciences 74: 73–76.

Wilkinson S, Wiener P, Teverson D, Haley C S and Hocking P M. 2012. Characterization of the genetic diversity, structure and admixture of British chicken breeds. Animal Genetics 43: 552– 63. DOI: https://doi.org/10.1111/j.1365-2052.2011.02296.x

Yeh F C, Yang R C and Boyle T. 1999. POPGENE version 1.31, Microsoft Window-based free Software for Population Genetic Analysis. Molecular Biology and Biotechnology Centre, University of Alberta, Canada. (http://www.ualberta.ca/s-fyeh/fyeh).

Zanetti E, De Marchi M, Dalvit C and Cassandro M. 2010. Genetic characterization of local Italian breeds of chickens undergoing in situ conservation. Poultry Science 89: 420–27. DOI: https://doi.org/10.3382/ps.2009-00324

Zhang X, Leung F C, Chan D K O, Chen Y and Wu C. 2002. Comparative analysis of allozyme, random amplified polymorphic DNA, and microsatellite polymorphism on Chinese native chickens. Poultry Science 81: 1093–98. DOI: https://doi.org/10.1093/ps/81.8.1093

Downloads

Submitted

2017-05-09

Published

2017-05-09

Issue

Section

Articles

How to Cite

SHARMA, R., SHARMA, H., AHLAWAT, S., BARIK, N., SINGH, P. K., & TANTIA, M. S. (2017). Hazra chicken: A precious germplasm in need of immediate scientific intervention. The Indian Journal of Animal Sciences, 87(5), 597–603. https://doi.org/10.56093/ijans.v87i5.70245
Citation