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Study of genetic structure homogeneity in Zandi breed sheep population using genomic data

Document Type : Research Paper

Authors

1 /Department of Animal Sciences, University College of Agriculture and Natural Resources, University of Tehran

2 assistant professor/Department of Animal Sciences, University College of Agriculture and Natural Resources, University of Tehran

3 associate professor/Department of Animal Sciences, University College of Agriculture and Natural Resources, University of Tehran

Abstract

Genomic data can lead us to how of breeds and populations forming and process of genetic occurrences effecting even infrequent cases of them at time passage. A very worthy instance to genetic resources preservation that itself is counted an important subject, and improvement of animal breeding plans, is genetic structure discovery of studying populations. For investigation about genetic structure homogeneity in Zandi breed sheep population located in Tehran Zandi sheep breeding station, discriminant analysis of principal components (DAPC) and in inside of this analysis, principal components analysis (PCA) were performed. For this purpose, 99 heads of sheep were bled and genotyped using Illumina SNP chip 50K. Discriminant analysis of principal component obviously showed the genetic structure of studying population and its members separation to two groups that it may be arising from DAPC high sensitiveness that is able to investigate variance homogeneity in animal populations. In DAPC, to evaluate the clusters optimized number using BIC, k=2 was shown as best result. Investigation of results to maintain the number of principal components for discriminant analysis, takes into account that the first 31 components is the optimized number of component for analysis next steps. Re the importance of within group variance contemplating and also populations genetic structure for important genomic analyses, became clear that DAPC in study of Zandi population genetic structure, because that contemplates of more principal component number and subsequently increasing of contemplated variance, is more effective than PCA.

Keywords

References
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Research Journal of Livestock Science
Volume 31, Issue 121
March 2019
Pages 67-76
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