Supplemental data to publication "Selection signatures in four German warmblood horse breeds: tracing breeding history in the modern sport horse" (PLOS ONE)

DOI

The study of selection signatures helps to find genomic regions that have been under selective pressure and might host genes or variants that modulate important phenotypes. Such knowledge improves our understanding of how breeding programmes have shaped the genomes of livestock. In this study, 942 stallions were included from four, exemplarily chosen, German warmblood breeds with divergent historical and recent selection focus and different crossbreeding policies: Trakehner (N=44), Holsteiner (N=358), Hanoverian (N=319) and Oldenburger (N=221). Blood samples were collected during the health exams of the stallion preselections before licensing and were genotyped with the Illumina EquineSNP50 BeadChip. Autosomal markers were used for a multi-method search for signals of positive selection. Analyses within and across breeds were conducted by using the integrated Haplotype Score (iHS), cross-population Extended Haplotype Homozygosity (xpEHH) and Runs of Homozygosity (ROH). Oldenburger and Hanoverian showed very similar iHS signatures, but breed specificities were detected on multiple chromosomes with the xpEHH.

FUGATO-plus Project GENE-FL

Identifier
DOI https://doi.org/10.22000/156
Related Identifier https://doi.org/10.1371/journal.pone.0215913
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.22000/156
Provenance
Creator Thaller, Georg ORCID logo; Kuehn, Christa (ORCID: 0000-0002-0216-424X); Nolte, Wietje ORCID logo
Publisher Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Contributor RADAR
Publication Year 2019
Funding Reference German Federal Ministry for Education and Research (BMBF) (Grant No. 031513)5B) BMBF Other
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Discipline Other
Temporal Coverage 2016-2018