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Population structure in Indian sheep ascertained using microsatellite information
Author(s) -
Arora R.,
Bhatia S.,
Mishra B. P.,
Joshi B. K.
Publication year - 2011
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.2010.02147.x
Subject(s) - biology , breed , microsatellite , genetic diversity , population , flock , gene pool , genetic structure , veterinary medicine , genetic distance , allele , evolutionary biology , genetics , zoology , genetic variation , ecology , gene , demography , medicine , sociology
Summary This study attempts to provide a comprehensive insight into the prevailing genetic status of Indian sheep breeds using microsatellite markers. Seventeen Indian sheep breeds from 3 agroecological zones were analysed using a panel of 25 microsatellite markers. All of the sheep breeds investigated were genetically diverse, as evident from the high allele (>6) and gene (>0.6) diversity values. The gene diversity values for all breeds ranged from 0.621 to 0.780. The within‐population heterozygote deficit ( F IS ) varied from −0.098 to 0.234, reflecting significant levels for 12 of the 17 breeds investigated. The average genetic differentiation between all breeds ( F ST ) was 11.1%, revealing moderate discrimination between the indigenous sheep breeds. The genetic distance and principal component analysis revealed a separation of sheep breeds based on geographical propinquity. The Bayesian clustering approach suggested poor breed differentiation in the north‐western arid and semi‐arid region when compared to the breeds from the eastern and southern peninsular regions. The observed results mirror the divergent management strategies in the different agroecological regions, lack of specific selection policies, and intermixing of breeds in close proximity. Immediate steps to curb the intermixing and erosion of breed purity for some of these breeds need to be implemented, for example, by introducing measures like making proven rams available and ensuring their frequent exchange between flocks. The data generated here provides valuable information about the genetic structure of the 17 Indian sheep breeds and this can be used for designating priorities for their conservation.