A comprehensive analysis of QTL for abdominal fat and breast muscle weights on chicken chromosome 5 using a multivariate approach
A comprehensive analysis of QTL for abdominal fat and breast muscle weights on chicken chromosome 5 using a multivariate approach
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DOI：
10.1111/j.1365-2052.2008.01817.x
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发表时间：
2009-04-01
期刊：
影响因子：
2.4
通讯作者：
Le Roy, P.
中科院分区：
文献类型：
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作者：
Le Mignon, G.;Pitel, F.;Le Roy, P.
本研究利用INRA肉鸡"肥“、”瘦“品系间连续2个F-2杂交，在鸡5号染色体（GGA 5）上检测了影响腹脂重（AF）和胸肌重（BM）的QTL。基于这些结果，本研究的目的是通过对整个可用数据集进行多性状和多QTL分析来确定这些推定QTL的数量、位置和效应。数据涉及10头F-1公畜和85头F-1母畜产生的1186头F-2后代。在屠宰时、8周龄（第一次杂交）或9周龄（第二次杂交）时测量F-2动物的AF和BM性状。对F-0、F-1和F-2代鸡进行了11个微卫星标记的基因分型，这些标记沿沿着GGA 5均匀分布。在QTL检测之前，对性别、F-2设计、孵化组等固定效应和体重等协变量进行表型校正。单变量分析证实了雄鼠后代中AF和BM在GGA 5上的QTL分离，但在雌鼠后代中没有。使用多性状和连锁QTL模型的雄性后代数据分析，我们得出结论，存在两个QTL的远端部分GGA 5，每个控制一个性状。连锁QTL模型后，这些远端QTL的影响校正的表型值。然后在GGA 5的中心区域发现了几个AF和BM的QTL，将AF的一个大QTL区域分成几个不同的QTL。对于任何QTL基因型，“胖”和“瘦”品系似乎都不是固定的。这些结果具有重要意义的前瞻性精细定位研究和识别潜在的基因和因果突变。
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.