Browsing by Author "Demeure, O."
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Item Fatness QTL on chicken chromosome 5 and interaction with sex(EDP Sciences, 2006) Abasht, Behnam; Pitel, F.; Lagarrigue, S.; Le Bihan-Duval, Elisabeth; Le Roy, P.; Demeure, O.; Vignoles, F.; Simon, Jean; Cogburn, Larry A.; Aggrey, S. E. (Samuel E.); Vignal, A.; Douaire, M.; Abasht, B., Pitel, F., Lagarrigue, S., Le Bihan-Duval, E., Le Roy, P., Demeure, O., Vignoles, F., Simon, J., Cogburn, L., Aggrey, S., Vignal, A., Douaire, M.; Abasht, Behnam; Cogburn, Larry A.Quantitative trait loci (QTL) affecting fatness in male chickens were previously identified on chromosome 5 (GGA5) in a three-generation design derived from two experimental chicken lines divergently selected for abdominal fat weight. A new design, established from the same pure lines, produced 407 F2 progenies (males and females) from 4 F1-sire families. Body weight and abdominal fat were measured on the F2 at 9 wk of age. In each sire family, selective genotyping was carried out for 48 extreme individuals for abdominal fat using seven microsatellite markers from GGA5. QTL analyses confirmed the presence of QTL for fatness on GGA5 and identified a QTL by sex interaction. By crossing one F1 sire heterozygous at the QTL with lean line dams, three recombinant backcross 1 (BC1) males were produced and their QTL genotypes were assessed in backcross 2 (BC2) progenies. These results confirmed the QTL by sex interaction identified in the F2 generation and they allow mapping of the female QTL to less than 8 Mb at the distal part of the GGA5. They also indicate that fat QTL alleles were segregating in both fat and lean lines.Item Using transcriptome profiling to characterize QTL regions on chicken chromosome 5(BioMed Central, 2009) Le Mignon, G.; Pitel, F.; Desert, C.; Leroux, S.; Demeure, O.; Guernec, G.; Abasht, Behnam; Douaire, M.; Le Roy, P.; Lagarrigue, S.; Le Mignon, G., Pitel, F., Desert, C., Leroux, S., Demeure, O., Guernec, G., Abasht, Behnam, Douaire, M., Le Roy, P., Lagarrigue, S.; Abasht, BehnamAlthough many QTL for various traits have been mapped in livestock, location confidence intervals remain wide that makes difficult the identification of causative mutations. The aim of this study was to test the contribution of microarray data to QTL detection in livestock species. Three different but complementary approaches are proposed to improve characterization of a chicken QTL region for abdominal fatness (AF) previously detected on chromosome 5 (GGA5).