Fine-scale population structure analysis of seven local Swiss sheep breeds using genome-wide SNP data
Version
Published
Date Issued
2014-12
Author(s)
Neuditschko, M.
Tetens, J.
Kijas, J.
Drögemüller, C.
Type
Article
Language
English
Abstract
As part of the global sheep Hapmap project, 24 individuals from each of seven indigenous Swiss sheep breeds (Bundner Oberländer sheep (BOS), Engadine Red sheep (ERS), Swiss Black-Brown Mountain sheep (SBS), Swiss Mirror sheep (SMS), Swiss White Alpine (SWA) sheep, Valais Blacknose sheep (VBS) and Valais Red sheep (VRS)), were genotyped using Illumina's Ovine SNP50 BeadChip. In total, 167 animals were subjected to a detailed analysis for genetic diversity using 45 193 informative single nucleotide polymorphisms. The results of the phylogenetic analyses supported the known proximity between populations such as VBS and VRS or SMS and SWA. Average genomic relatedness within a breed was found to be 12 percent (BOS), 5 percent (ERS), 9 percent (SBS), 10 percent (SMS), 9 percent (SWA), 12 percent (VBS) and 20 percent (VRS). Furthermore, genomic relationships between breeds were found for single individuals from SWA and SMS, VRS and VBS as well as VRS and BOS. In addition, seven out of 40 indicated parent–offspring pairs could not be confirmed. These results were further supported by results from the genome-wide population cluster analysis. This study provides a better understanding of fine-scale population structures within and between Swiss sheep breeds. This relevant information will help to increase the conservation activities of the local Swiss sheep breeds.
Subjects
SF Animal culture
Publisher DOI
Journal or Serie
Animal Genetic Resources : an international journal
ISSN
2078-6336
Volume
55
Publisher
Cambridge University Press
Submitter
ServiceAccount
Citation apa
Burren, A., Signer-Hasler, H., Neuditschko, M., Tetens, J., Kijas, J., Drögemüller, C., & Flury, C. (2014). Fine-scale population structure analysis of seven local Swiss sheep breeds using genome-wide SNP data. In Animal Genetic Resources : an international journal (Vol. 55). Cambridge University Press. https://doi.org/10.24451/arbor.6051
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