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Research Project: GENETIC AND BIOLOGICAL DETERMINANTS OF RESPIRATORY DISEASE SUSCEPTIBILITY Title: A Genome Wide Survey of SNP Variation Reveals the Genetic Structure of Sheep Breeds

Authors
item Kijas, James -
item Townley, David -
item Dalrymple, Brian -
item Heaton, Michael
item Maddox, Jillian -
item Mcgrath, Annette -
item Wilson, Peter -
item Ingersoll, Roxann -
item Mcculloch, Russell -
item Mcwilliam, Sean -
item Tang, Dave -
item Mcewan, John -
item Cockett, Noelle -
item Oddy, V -
item Nicholas, Frank -
item Raadsma, Herman -

Submitted to: PLoS One
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: January 29, 2009
Publication Date: March 3, 2009
Repository URL: http://hdl.handle.net/10113/37654
Citation: Kijas, J.W., Townley, D., Dalrymple, B.P., Heaton, M.P., Maddox, J.F., McGrath, A., Wilson, P., Ingersoll, R.G., McCulloch, R., McWilliam, S., Tang, D., McEwan, J., Cockett, N., Oddy, V.H., Nicholas, F.W., Raadsma, H. 2009. A Genome Wide Survey of SNP Variation Reveals the Genetic Structure of Sheep Breeds. PLoS One [serial online]. 4(3):e4668. Available: http://www.plosone.org.

Interpretive Summary: The genetic structure of sheep reflects their domestication and subsequent formation into discrete breeds. Understanding genetic structure is essential for achieving genetic improvement through genome-wide association studies, genomic selection and the dissection of quantitative traits. After identifying the first genome-wide set of SNP for sheep, we report on levels of genetic variability both within and between a diverse sample of ovine populations. Then, using cluster analysis and the partitioning of genetic variation, we demonstrate sheep are characterised by weak phylogeographic structure, overlapping genetic similarity and generally low differentiation which is consistent with their short evolutionary history. The degree of population substructure was, however, sufficient to cluster individuals based on geographic origin and known breed history. Specifically, African and Asian populations clustered separately from breeds of European origin sampled from Australia, New Zealand, Europe and North America. Furthermore, we demonstrate the presence of stratification within some, but not all, ovine breeds. The results emphasize that careful documentation of genetic structure will be an essential prerequisite when mapping the genetic basis of complex traits. Furthermore, the identification of a subset of SNP able to assign individuals into broad groupings demonstrates even a small panel of markers may be suitable for applications such as traceability.

Technical Abstract: The genetic structure of sheep reflects their domestication and subsequent formation into discrete breeds. Understanding genetic structure is essential for achieving genetic improvement through genome-wide association studies, genomic selection and the dissection of quantitative traits. After identifying the first genome-wide set of SNP for sheep, we report on levels of genetic variability both within and between a diverse sample of ovine populations. Then, using cluster analysis and the partitioning of genetic variation, we demonstrate sheep are characterised by weak phylogeographic structure, overlapping genetic similarity and generally low differentiation which is consistent with their short evolutionary history. The degree of population substructure was, however, sufficient to cluster individuals based on geographic origin and known breed history. Specifically, African and Asian populations clustered separately from breeds of European origin sampled from Australia, New Zealand, Europe and North America. Furthermore, we demonstrate the presence of stratification within some, but not all, ovine breeds. The results emphasize that careful documentation of genetic structure will be an essential prerequisite when mapping the genetic basis of complex traits. Furthermore, the identification of a subset of SNP able to assign individuals into broad groupings demonstrates even a small panel of markers may be suitable for applications such as traceability.

   

 
Project Team
Heaton, Michael - Mike
Chitko Mckown, Carol
Clawson, Michael - Mike
Harhay, Gregory
 
Publications
   Publications
 
Related National Programs
  Animal Health (103)
 
 
Last Modified: 05/18/2013
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