Departamento de Zootecnia, USP/ESALQ, C.P. 09, Piracicaba, SP, 13418-900, Brazil.
Anim Genet. 2012 Oct;43(5):570-6. doi: 10.1111/j.1365-2052.2012.02321.x. Epub 2012 Feb 8.
Major objectives of the poultry industry are to increase meat production and to reduce carcass fatness, mainly abdominal fat. Information on growth performance and carcass composition are important for the selection of leaner meat chickens. To enhance our understanding of the genetic architecture underlying the chemical composition of chicken carcasses, an F(2) population developed from a broiler × layer cross was used to map quantitative trait loci (QTL) affecting protein, fat, water and ash contents in chicken carcasses. Two genetic models were applied in the QTL analysis: the line-cross and the half-sib models, both using the regression interval mapping method. Six significant and five suggestive QTL were mapped in the line-cross analysis, and four significant and six suggestive QTL were mapped in the half-sib analysis. A total of eleven QTL were mapped for fat (ether extract), five for protein, four for ash and one for water contents in the carcass using both analyses. No study to date has reported QTL for carcass chemical composition in chickens. Some QTL mapped here for carcass fat content match, as expected, QTL regions previously associated with abdominal fat in the same or in different populations, and novel QTL for protein, ash and water contents in the carcass are presented here. The results described here also reinforce the need for fine mapping and to perform multi-trait analyses to better understand the genetic architecture of these traits.
家禽业的主要目标是增加肉产量和减少胴体脂肪含量,主要是腹部脂肪。关于生长性能和胴体成分的信息对于选择更瘦的鸡肉很重要。为了增强我们对鸡体化学成分遗传结构的理解,利用来自肉鸡和蛋鸡杂交的 F2 群体来定位影响鸡体蛋白质、脂肪、水分和灰分含量的数量性状基因座(QTL)。在 QTL 分析中应用了两种遗传模型:线交模型和半同胞模型,均使用回归区间映射法。在线交分析中,共定位到 6 个显著和 5 个提示性 QTL,在半同胞分析中,共定位到 4 个显著和 6 个提示性 QTL。使用这两种分析方法,总共为胴体脂肪(乙醚提取物)、蛋白质、灰分和水分的含量定位了 11 个 QTL。迄今为止,没有研究报道过鸡胴体化学成分的 QTL。这里定位的一些与胴体脂肪含量相关的 QTL 与同一或不同群体中先前与腹部脂肪相关的 QTL 区域相匹配,并且这里还提出了与胴体蛋白质、灰分和水分含量相关的新的 QTL。这里描述的结果还强调需要精细定位和进行多性状分析,以更好地了解这些性状的遗传结构。