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Detalle de: A QTL on pig chromosome 4 affects fatty acid metabolism: evidence from an Iberian by Landrace intercross.

Title A QTL on pig chromosome 4 affects fatty acid metabolism: evidence from an Iberian by Landrace intercross.
Abstract

Three Iberian boars were bred to 31 Landrace sows to produce 79 F1 pigs. Six F1 boars were mated to 73 F1 sows. The F2 progeny from 33 full-sib families (250 individuals) were genotyped for seven microsatellites spanning the length of chromosome 4. Least squares procedures for interval mapping were used to detect quantitative trait loci (QTL). A permutation test was used to establish nominal significance levels associated with QTL effects, and resulting probability levels were corrected to a genomewide basis. Observed QTL effects were (genomewide significance, position of maximum significance in centimorgans): percentage of linoleic acid in subcutaneous adipose tissue (< 0.01, 81); backfat thickness (< 0.01, 83); backfat weight (< 0.01, 80); longissimus muscle area (0.02, 83); live weight (0.19, 88); and percentage of oleic acid in subcutaneous adipose tissue (0.25, 81). Gene action was primarily additive. The Iberian genotypes were fatter, slower growing, and had lower linoleic and higher oleic acid contents than Landrace genotypes. The interval from 80 to 83 cM contains the FAT1 and A-FABP loci that have been shown previously to affect fat deposition in pigs. This is the first report of a QTL affecting fatty acid composition of subcutaneous adipose tissue in pigs and provides a guide for the metabolic pathways affected by candidate genes described in this region of chromosome 4.

Apa Reference Pérez-Enciso, M., Clop, A., Noguera, J.L., Ovilo, C., Coll, A., Folch, J.M., Babot, D., Estany, J., Oliver, M.A., Díaz, I. & Sánchez, A. (2000). A QTL on pig chromosome 4 affects fatty acid metabolism: evidence from an Iberian by Landrace intercross.. Journal of Animal Science, 78(10), 2525. 10.2527/2000.78102525x
Doi 10.2527/2000.78102525x
Publication Date 2000
Publication Type Article
Researcher Alexandre Clop i Ponte
Ontology Population genomics, Pathway analysis, Non-parametric statistics, Quantitative genetics
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