Indian Journal of Animal Research

  • Chief EditorK.M.L. Pathak

  • Print ISSN 0367-6722

  • Online ISSN 0976-0555

  • NAAS Rating 6.50

  • SJR 0.263

  • Impact Factor 0.4 (2024)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
Science Citation Index Expanded, BIOSIS Preview, ISI Citation Index, Biological Abstracts, Scopus, AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Submit

Research Article

Indian Journal of Animal Research, volume 54 issue 12 (december 2020) : 1465-1469

Estimation of Genetic Diversity Among Teressa Goat Population of A and N Islands by using Microsatellite Markers

S. Jeyakumar, Jai Sunder, S.P. Yadav, A.K. De, A. Kundu, M.S. Kundu, T. Sujatha
1Division of Animal Science, ICAR-Central Island Agricultural Research Institute, Port Blair-744 105, A and N Islands, India.
Cite article:- Jeyakumar S., Sunder Jai, Yadav S.P., De A.K., Kundu A., Kundu M.S., Sujatha T. (2020). Estimation of Genetic Diversity Among Teressa Goat Population of A and N Islands by using Microsatellite Markers. Indian Journal of Animal Research. 54(12): 1465-1469. doi: 10.18805/ijar.B-3840.

ABSTRACT

Background: Teressa goat is an indigenous goat breed of Andaman and Nicobar Islands. These goats are mainly distributed in the Nicobar group of islands, however, sparse population is also available in the Andaman Islands. In order to understand the genetic diversity and variation among the population of Teressa goat, the studies on the molecular characterization was done by using microsatellite molecular markers. 
Methods: Randomly a total of 48 blood samples were collected different areas of the Nicobar Islands representing the breeding tract of the Teressa goat. Based on the guidelines of ISAG and FAO, a total of 15 recommended microsatellite markers were selected for the microsatellite analysis study. The data were analysed to study the diversity analysis at each locus by using GENETIX software package. Bottleneck hypothesis was also studied by using BOTTLENECK 1.2.01 and FIS, FIT and FIT values were calculated and heterozygosity deficiency at each locus using FSTAT software.
Result: A total of 50 genotypes were observed across the 15 loci. The number of genotype varied between (MAF70; SRCRSP3) 1 and 6 (SRCRSP15). The effective number of alleles (Ne) varied from 2 to 6.98 in Teressa goat. Shannon’s Information Index (I) value was found to be high (1.1856±0.4369), it indicated that the level of diversity among the population of the Teressa goat is high. All the values of FIS obtained were negative which is suggestive of no inbreeding within the populations and the animals were outbred. The mode-shift test indicated the genetic bottleneck in Teressa and needs greater attention towards in situ/ex situ conservation. The present study provides the valuable information about the genetic makeup of the Teressa goat, however, detail study is required to carry out to study the important traits linked with production for further utilization of this breed.

REFERENCES

  1. Bostein D, White R L, Skolnick M and Davis R W. (1980). Construction of genetic linkages map in man using restriction fragment length polymorphism. American Journal of Human Genetics. 32 : 314-31.
  2. 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.
  3. Dixit S P, Verma N K, Aggarwal R A K, Vyas M K, Rana J and Sharma A. (2012). Genetic diversity and relationship among Indian goat breeds based on microsatellite markers. Small Ruminant Research. 105: 38-45. 
  4. Ganie Z A, Kumar D, Kumar S, Shahi B N and Ghosh A K. (2017). Genetic diversity analysis of Chaugarkha goat using microsatellite markers. Indian Journal of Animal Science. 87(1): 122-24.
  5. Kumar S, Dixit, S P, Verma N K, Singh D K, Pandey S Kumar S, Chander R and Singh L B. (2009). Genetic diversity analysis of the Gohilwari breed of Indian goat (Capra hircus) using microsatellite markers. American Journal of Veterinary and Animal Sciences. 4(3): 49-57.
  6. Mishra P, Dixit S P, Aggarwal R A K, Dangi P S and Verma N K. (2014). Genetic diversity estimation in Black Bengal type goat population using microsatellite markers. Wayamba Journal of Animal Sciences. 6: 1044-50.
  7. Radhika G, Raghavan K C, Aravindakshan T V and Thirupathy V. (2018). Genetic diversity and population structure analysis of native and crossbred goat genetic groups of Kerala, India. Small Ruminant Research 131: 50-57.
  8. Sambrook J and Russel D W. (2001). Molecular cloning: A Laboratory Manual. 3rd edn. Cold Spring Harbor Laboratory Press, New York.
  9. Sharma R, Pandey A K, Prakash B, Mishra B P, Singh P K and Singh G. (2009). Genetic diversity of Ganjam goat by microsatellite markers. Indian Veterinary Journal. 86: 275-77. 
  10. Shivahre P R, Verma N K, Aggarwal R, Sharma R, Dangi P S, Bhutia N T, Ahlawat S. (2017). Microsatellite based genetic diversity estimation in Sikkim Singharey goat population. Indian 
  11. Journal of Animal Science. 87(1): 125-27.
  12. Sunder J, Sujatha T, Kundu A, Kundu M S and Sophia I. (2016). Haematobiochemical profile of the Teressa goat: An Indigenous goat of A and N Islands. Journal of Immunology and Immunopathology. 18(1): 47-50.
  13. Verma N K, Mishra P, Aggarwal R A K, Dixit S P, Dangi P S and Dash S K. (2015). Characterization, performance and genetic diversity among goats of Odisha. Indian Journal of Animal Science. 85 (2): 165-71.
  14. Weir B S and Cockerham C C. (1984). Estimating F-statistics for the analysis of population structure. Evolution. 38: 1358-1370. 
Reviewed By

Download Article
In this Article
    Contact us
    Follow us

    Editorial Board

    View all (0)