Release 56
(Apr 24, 2025)

Reference # 19032699 Details:

Authors:Phua SH, Dodds KG, Morris CA, Henry HM, Beattie AE, Garmonsway HG, Towers NR, Crawford AM (Contact: sin.phua@agresearch.co.nz)
Affiliation:AgResearch Molecular Biology Unit, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9054, New Zealand
Title:A genome-screen experiment to detect quantitative trait loci affecting resistance to facial eczema disease in sheep
Journal:Animal Genetics, 2009, 40(1): 73-9 DOI: 10.1111/j.1365-2052.2008.01803.x
Abstract:

Facial eczema (FE) is a secondary photosensitization disease arising from liver cirrhosis caused by the mycotoxin sporidesmin. The disease affects sheep, cattle, deer and goats, and costs the New Zealand sheep industry alone an estimated NZ$63M annually. A long-term sustainable solution to this century-old FE problem is to breed for disease-resistant animals by marker-assisted selection. As a step towards finding a diagnostic DNA test for FE sensitivity, we have conducted a genome-scan experiment to screen for quantitative trait loci (QTL) affecting this trait in Romney sheep. Four F(1) sires, obtained from reciprocal matings of FE resistant and susceptible selection-line animals, were used to generate four outcross families. The resulting half-sib progeny were artificially challenged with sporidesmin to phenotype their FE traits measured in terms of their serum levels of liver-specific enzymes, namely gamma-glutamyl transferase and glutamate dehydrogenase. In a primary screen using selective genotyping on extreme progeny of each family, a total of 244 DNA markers uniformly distributed over all 26 ovine autosomes (with an autosomal genome coverage of 79-91%) were tested for linkage to the FE traits. Data were analysed using Haley-Knott regression. The primary screen detected one significant and one suggestive QTL on chromosomes 3 and 8 respectively. Both the significant and suggestive QTL were followed up in a secondary screen where all progeny were genotyped and analysed; the QTL on chromosome 3 was significant in this analysis.

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