A genome-wide scan for quantitative trait loci affecting respiratory disease and immune capacity in Landrace pigs

Summary Respiratory disease is the most important health concern for the swine industry. Genetic improvement for disease resistance is challenging because of the difficulty in obtaining good phenotypes related with disease resistance; however, identification of genes or markers associated with disea...

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Published inAnimal genetics Vol. 43; no. 6; pp. 721 - 729
Main Authors Okamura, T., Onodera, W., Tayama, T., Kadowaki, H., Kojima-Shibata, C., Suzuki, E., Uemoto, Y., Mikawa, S., Hayashi, T., Awata, T., Fujishima-Kanaya, N., Mikawa, A., Uenishi, H., Suzuki, K.
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.12.2012
Wiley Subscription Services, Inc
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Summary:Summary Respiratory disease is the most important health concern for the swine industry. Genetic improvement for disease resistance is challenging because of the difficulty in obtaining good phenotypes related with disease resistance; however, identification of genes or markers associated with disease resistance can help in the genetic improvement of pig health. The purpose of our study was to investigate whether quantitative trait loci (QTL) associated with disease resistance were segregated in a purebred population of Landrace pigs that had been selected for meat production traits and mycoplasmal pneumonia of swine (MPS) scores over five generations. We analysed 1395 pigs from the base to the fifth generation of this population. Two respiratory disease traits [MPS scores and atrophic rhinitis (AR) scores] and 11 immune‐capacity traits were measured in 630–1332 animals at 7 weeks of age and when the animal's body weight reached 105 kg. Each of the pigs, except sires in the base population, was genotyped using 109 microsatellite markers, and then, QTL analysis of the full‐sib family population with a multi‐generational pedigree structure was performed. Variance component analysis was used to detect QTL associated with MPS or AR scores, and the logarithm of odds (LOD) score and genotypic heritability of the QTL were estimated. Five significant (LOD > 2.51) and 18 suggestive (LOD > 1.35) QTL for respiratory disease traits and immune‐capacity traits were detected. The significant QTL for Log‐MPS score, located on S. scrofa chromosome 2, could explain 87% of the genetic variance of this score in this analysis. This is the first report of QTL associated with respiratory disease lesions.
Bibliography:Table S1. Population number by generation.Table S2. Microsatellites used in the study.Appendix S1. Detailed methods.
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ArticleID:AGE2359
istex:06D2549A84CD758FA6431605035428C34EBE35BF
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0268-9146
1365-2052
DOI:10.1111/j.1365-2052.2012.02359.x