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Article Information:
Genetic Discontinuities and Sub structuring in buffaloes of Indo Gangetic Plains
Upasna Sharma, Priyanka Banerjee, Jyoti Joshi and Ramesh Kumar vijh
Corresponding Author: R.K. Vijh
Submitted: June 19, 2012
Accepted: July 04, 2012
Published: August 20, 2012 |
Abstract:
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The Indo-Gangetic plains of India are fertile basin and have more than 23% buffaloes of India. Bhadawari
is the only one recognised breed of buffalo in the basin. The population structure of this vast buffalo population was
not known. In this present study, we generated data on 11 microsatellite markers on 625 buffaloes from Indo-
Gangetic plains. We utilised landscape genetic tools combining molecular genetic data and spatial coordinates to
decipher the genetic structure. We utilised wombling analysis and Bayesian clustering using Markov models. We
also utilised Monmonier’s maximal difference algorithm for the identification of genetic barriers and tested their
significance using 16 different genetic distances. The Womble analysis revealed three statistically significant
barriers. The genetic bandwidth mapping revealed that buffaloes of Tarai area and Bhadawari buffaloes to have
distinctive population structure. The buffaloes of Mau, Balia and Ghazipur also had a distinctive genetic structure.
Most of the buffaloes of Central region of Indo-Gangetic plains were found to be heterogeneous. The variation in
allele frequency in buffalo population in Indo Gangetic plains occurred at multiple scales. A sharp change in allele
frequency in Eastern and Western Uttar Pradesh buffaloes was observed and detectable by all the techniques utilised
and the buffalo population could be substructured into 5 clusters.
Key words: Bayesian clustering , genetical bandwidth mapping, genetic barriers, landscape genetics, markov model, microsatellites, womble method
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Cite this Reference:
Upasna Sharma, Priyanka Banerjee, Jyoti Joshi and Ramesh Kumar vijh, . Genetic Discontinuities and Sub structuring in buffaloes of Indo Gangetic Plains. International Journal of Animal and Veterinary Advances, (4): 284-291.
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ISSN (Online): 2041-2908
ISSN (Print): 2041-2894 |
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