Short Tandem Repeat (STR) based assessment of genetic diversity of Alambadi - A draught cattle breed of Tamil Nadu


244 / 121

Authors

  • VANDANA C M Farm Manager, Directorate of Animal Health Sciences, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India
  • SARAVANAN R Assistant Professor, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India
  • MURALI N Professor and Head, Department of Animal Genetics and Breeding, Veterinary College and Research Institute (Namakkal), TANUVAS
  • RAJA K N Senior Scientist, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India
  • MISHRA A K Principal Scientist, National Bureau of Animal Genetic Resources, Karnal, Haryana
  • RUDOLF R PICHLE Livestock Geneticist/Breeder, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India
  • KATHIRAVAN PERIASAMY Molecular Biologist, Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Vienna, Austria

https://doi.org/10.56093/ijans.v90i1.98209

Keywords:

Diversity, Microsatellite, Mutation Drift Equilibrium, Principal Components,

Abstract

Alambadi is one of the five indigenous draught type cattle breeds of Tamil Nadu. The present study was undertaken to establish baseline genetic diversity information and evaluate its genetic relationship with Bargur cattle. The results suggested moderate levels of allelic diversity and observed heterozygosity with an overall mean of 6.52 and 0.666 respectively. Estimates of FIS showed significant heterozygosity deficit (0.056) indicating relatively higher levels of inbreeding in Alambadi cattle. The test for Hardy-Weinberg equilibrium revealed 11.1% (3 out of 27) of the investigated loci showing significant deviations due to heterozygosity deficit. Estimation of global F statistics revealed low genetic differentiation between Alambadi and Bargur cattle. The global FST indicated only 3% of the total variation being explained by between breed differences, while the remaining 97% was explained by within breed variability. Principal components analysis revealed separate clustering of Alambadi and Bargur cattle, although admixture was observed among few animals from both the breeds. The test for mutation drift equilibrium revealed no evidences for the occurrence of genetic bottleneck in Alambadi and Bargur cattle in the recent past. Considering the rapid decline in the population of Alambadi cattle, the results of the present study is expected to help planning the strategy for genetic conservation and breed improvement.

Downloads

Download data is not yet available.

Author Biographies

  • VANDANA C M, Farm Manager, Directorate of Animal Health Sciences, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India

    Farm Manager, Directorate of Animal Health Sciences, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India

  • SARAVANAN R, Assistant Professor, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India

    Assistant Professor, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India

  • MURALI N, Professor and Head, Department of Animal Genetics and Breeding, Veterinary College and Research Institute (Namakkal), TANUVAS

    Professor and Head, Department of Animal Genetics and Breeding, Veterinary College and Research Institute (Namakkal), TANUVAS

  • RAJA K N, Senior Scientist, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India

    Senior Scientist, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India

  • MISHRA A K, Principal Scientist, National Bureau of Animal Genetic Resources, Karnal, Haryana

    Principal Scientist, National Bureau of Animal Genetic Resources, Karnal, Haryana

  • RUDOLF R PICHLE, Livestock Geneticist/Breeder, Veterinary College and Research Institute, Namakkal, Tamil Nadu 637 002 India

    6Livestock Geneticist/Breeder,  

  • KATHIRAVAN PERIASAMY, Molecular Biologist, Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Vienna, Austria

    Molecular Biologist, Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Vienna, Austria.

References

Ajmone-Marsan P, Colli L, Han J L, Achilli A, Lancioni H, Joost S, Crepaldi P, Pilla F, Stella A, Taberlet P, Boettcher P, Negrini R and Lenstra J A. 2014. Italian Goat Consortium and Econogene Consortium, Globaldiv Consortium. . The characterization of goat genetic diversity: Towards a genomic approach. Small Ruminant Research 121: 58–72. DOI: https://doi.org/10.1016/j.smallrumres.2014.06.010

Barani A, Rahumathulla P S, Rajendran R, Kumarasamy P K, Ganapathi P and Radha P. 2015. Molecular characterization of Pulikulam cattle using microsatellite markers. Indian Journal of Animal Research 49: 36–39. DOI: https://doi.org/10.5958/0976-0555.2015.00007.2

Dieringer D and Schlotterer C. 2003. Microsatellite Analyzer (MSA): a platform independent analysis tool for large microsatellite data sets. Molecular Ecology Notes 3: 167–69. DOI: https://doi.org/10.1046/j.1471-8286.2003.00351.x

Ellis J S, Gilbey J, Armstrong A, Balstad T, Cauwelier E, Cherbonnel C, Consuegra S, Coughlan J, Cross T F, Crozier W, Dillane E, Ensing D, Garcý´a de Lea´niz C, Garcý´a- Va´zquez E, Griffiths A M, Hindar K, Hjorleifsdottir S, Knox D, Machado-Schiaffino G, McGinnity P, Meldrup D, Nielsen E E, Olafsson K, Primmer C R, Prodohl P, Stradmeyer L, Va¨ha¨ J-P, Verspoor E, Wennevik V and Stevens J R. 2011. Microsatellite standardization and evaluation of genotyping errorin a large multi-partner research programme for conservationof Atlantic salmon (Salmo salar L.). Genetica 139: 353–67. DOI: https://doi.org/10.1007/s10709-011-9554-4

FAO. 2011. Molecular genetic characterization of animal genetic resources.FAO Animal Production and Health Guidelines. No. 9. Rome

FAO. 2015. The second report on the state of world’s animal genetic resources for food and agriculture.FAO Commission on Genetic Resources for Food and Agriculture Assessments.

Ganapathi P, Rajendran R and Kathiravan P. 2012. Detection of occurrence of a recent genetic bottleneck event in Indian hill cattle breed Bargur using microsatellite markers. Tropical Animal Health and Production 44: 2007–13. DOI: https://doi.org/10.1007/s11250-012-0171-8

Kale D S, Rank D N, Joshi C G, Yadav B R, Koringa P G, Thakkar K M, Tolenkhomba T C and Solanki J V. 2010. Genetic diversity among Indian Gir, Deoni and Kankrej cattle breeds based on microsatellite markers. Indian Journal of Biotechnology 9: 126–30.

Kataria R S, Kathiravan P, Bulandi S S, Pandey D and Mishra B P. 2010. Microsatellite based genetic monitoring to detect cryptic demographic bottleneck in Indian riverine buffaloes (Bubalus bubalis). Tropical Animal Health and Production 42: 849–55. DOI: https://doi.org/10.1007/s11250-009-9498-1

Pham L D, Ngoc D D, Trong B N, Quang N L, Van B N, Thu T T T, Xuan H T, Chi C V and Haja K. 2013. Assessment of genetic diversity and population structure of Vietnamese indigenous cattle populations by microsatellites. Livestock Science 155: 17–22. DOI: https://doi.org/10.1016/j.livsci.2013.04.006

Piry S, Luikart G and Cornuet J M. 1999. Bottleneck: a computer program for detecting recent reductions in the effective population size using allele frequency data. Journal of Heredity 90: 502–03. DOI: https://doi.org/10.1093/jhered/90.4.502

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. DOI: https://doi.org/10.1186/s12863-015-0221-0

Stewart S, Wickramasinghe D, Dorrance A E and Robertson A E. 2011. Comparison of three microsatellite analysis methods for detecting genetic diversity in Phytophthora sojae (Stramenopila: Oomycete). Biotechnology Letters 33: 2217– 23. DOI: https://doi.org/10.1007/s10529-011-0682-9

Downloads

Submitted

2020-02-18

Published

2020-02-18

Issue

Section

Articles

How to Cite

M, V. C., R, S., N, M., N, R. K., K, M. A., PICHLE, R. R., & PERIASAMY, K. (2020). Short Tandem Repeat (STR) based assessment of genetic diversity of Alambadi - A draught cattle breed of Tamil Nadu. The Indian Journal of Animal Sciences, 90(1), 38-43. https://doi.org/10.56093/ijans.v90i1.98209
Citation