4.5 Article

A comprehensive analysis of QTL for abdominal fat and breast muscle weights on chicken chromosome 5 using a multivariate approach

期刊

ANIMAL GENETICS
卷 40, 期 2, 页码 157-164

出版社

WILEY
DOI: 10.1111/j.1365-2052.2008.01817.x

关键词

chicken; fatness; linked QTL; multivariate analysis; QTL detection

资金

  1. French society for genomics in poultry (AGENAVI)
  2. French Institute for Research in Agriculture (INRA)
  3. United States Department of Agriculture-Initiative for Future Agriculture and Food Systems (USDA-IFAFS) [00-52100-9614]

向作者/读者索取更多资源

Quantitative trait loci (QTL) influencing the weight of abdominal fat (AF) and of breast muscle (BM) were detected on chicken chromosome 5 (GGA5) using two successive F-2 crosses between two divergently selected 'Fat' and 'Lean' INRA broiler lines. Based on these results, the aim of the present study was to identify the number, location and effects of these putative QTL by performing multitrait and multi-QTL analyses of the whole available data set. Data concerned 1186 F-2 offspring produced by 10 F-1 sires and 85 F-1 dams. AF and BM traits were measured on F-2 animals at slaughter, at 8 (first cross) or 9 (second cross) weeks of age. The F-0, F-1 and F-2 birds were genotyped for 11 microsatellite markers evenly spaced along GGA5. Before QTL detection, phenotypes were adjusted for the fixed effects of sex, F-2 design, hatching group within the design, and for body weight as a covariable. Univariate analyses confirmed the QTL segregation for AF and BM on GGA5 in male offspring, but not in female offspring. Analyses of male offspring data using multitrait and linked-QTL models led us to conclude the presence of two QTL on the distal part of GGA5, each controlling one trait. Linked QTL models were applied after correction of phenotypic values for the effects of these distal QTL. Several QTL for AF and BM were then discovered in the central region of GGA5, splitting one large QTL region for AF into several distinct QTL. Neither the 'Fat' nor the 'Lean' line appeared to be fixed for any QTL genotype. These results have important implications for prospective fine mapping studies and for the identification of underlying genes and causal mutations.

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