Genomic Tools for the Identification of Loci Associated with Facial Eczema in New Zealand Sheep

Author:

McRae Kathryn M.ORCID,Rowe Suzanne J.ORCID,Johnson Patricia L.,Baird Hayley J.,Cullen Neil G.ORCID,Bixley Matthew J.,Plowman Jeffrey E.,Deb-Choudhury SantanuORCID,Brauning Rudiger,Amyes Neville C.,Dodds Ken G.ORCID,Newman Sheryl-Anne N.,McEwan John C.ORCID,Clarke Shannon M.ORCID

Abstract

Facial eczema (FE) is a significant metabolic disease that affects New Zealand ruminants. Ingestion of the mycotoxin sporidesmin leads to liver and bile duct damage, which can result in photosensitisation, reduced productivity and death. Strategies used to manage the incidence and severity of the disease include breeding. In sheep, there is considerable genetic variation in the response to FE. A commercial testing program is available for ram breeders who aim to increase tolerance, determined by the concentration of the serum enzyme, gamma-glutamyltransferase 21 days after a measured sporidesmin challenge (GGT21). Genome-wide association studies were carried out to determine regions of the genome associated with GGT21. Two regions on chromosomes 15 and 24 are reported, which explain 5% and 1% of the phenotypic variance in the response to FE, respectively. The region on chromosome 15 contains the β-globin locus. Of the significant SNPs in the region, one is a missense variant within the haemoglobin subunit β (HBB) gene. Mass spectrometry of haemoglobin from animals with differing genotypes at this locus indicated that genotypes are associated with different forms of adult β-globin. Haemoglobin haplotypes have previously been associated with variation in several health-related traits in sheep and warrant further investigation regarding their role in tolerance to FE in sheep. We show a strategic approach to the identification of regions of importance for commercial breeding programs with a combination of discovery, statistical and biological validation. This study highlights the power of using increased density genotyping for the identification of influential genomic regions, combined with subsequent inclusion on lower density genotyping platforms.

Funder

Ministry of Business, Innovation and Employment

Publisher

MDPI AG

Subject

Genetics(clinical),Genetics

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