Identification of QTL controlling meat quality traits in an F2 cross between two chicken lines selected for either low or high growth rate.
Identification of QTL controlling meat quality traits in an F2 cross between two chicken lines selected for either low or high growth rate.
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DOI：
10.1186/1471-2164-8-155
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发表时间：
2007-06-08
期刊：
影响因子：
4.4
通讯作者：
Le Bihan-Duval, Elisabeth
中科院分区：
文献类型：
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作者：
Nadaf, Javad;Gilbert, Helene;Pitel, Frederique;Berri, Cecile M;Feve, Katia;Beaumont, Catherine;Duclos, Michel J;Vignal, Alain;Porter, Tom E;Simon, Jean;Aggrey, Samuel E;Cogburn, Larry A;Le Bihan-Duval, Elisabeth
肉类的工艺特性（即肉的pH值，保水性和颜色）是改善鸡肉深加工的重要考虑因素。这些品质性状最初是在选择用于高（HG）和低（LG）生长的实验品系中表征的。目前，这些性状的数量性状基因座（QTL）分析HG × LG杂交的F2群体。对50个全同胞家系共698头家畜进行了108个微卫星标记的基因分型，共覆盖21个连锁群。HG和LG鸡在体重和腹部脂肪含量方面表现出很大的差异。屠宰后15 min pH值（pH 15）和最终pH值（pHu）、胸红度（BCo-R）和胸黄度（BCo-Y）等肉质性状均低于对照组。相比之下，肉色亮度（BCo-L）在HG鸡较高，而肉滴水损失（DL）在两个系相似。HG鸟类在束缚线上更加活跃。使用QTLMAP中的最大似然区间映射进行关联分析。共检测到5个全基因组显著的QTL，其中2个在GGA 1和GGA 2上控制pH 15，1个在GGA 1上控制DL，1个在GGA 11上控制BCo-R和BCo-Y。此外，通过QTLMAP分析，在GGA 1、GGA 4、GGA 12和GGA 14上分别检测到4个与BCo-Y、pHu、pH 15和DL相关的QTL。QTL效应，平均杂合家庭，从12%到31%的表型方差。进一步利用QTLExpress分析，在GGA 11上检测到2个影响肉色的QTL，在GGA 2上未检测到pH 15的QTL，在GGA 1上仅检测到pH 15和DL的QTL。然而，QTLExpress将GGA 4上pHu的QTL鉴定为全基因组。本研究确定了目前在这些鸡中评估的所有肉质技术性状的全基因组显著QTL，除了肉亮度。本研究强调了生长速度的趋异选择对某些行为性状、肌肉生化和最终肉质性状的影响。几个QTL区域被确定，是值得进一步表征。一些QTL可能实际上共定位，暗示某些染色体区域的多效性效应。
Meat technological traits (i.e. meat pH, water retention and color) are important considerations for improving further processing of chicken meat. These quality traits were originally characterized in experimental lines selected for high (HG) and low (LG) growth. Presently, quantitative trait loci (QTL) for these traits were analyzed in an F2 population issued from the HG × LG cross. A total of 698 animals in 50 full-sib families were genotyped for 108 microsatellite markers covering 21 linkage groups. The HG and LG birds exhibit large differences in body weight and abdominal fat content. Several meat quality traits [pH at 15 min post-slaughter (pH15) and ultimate pH (pHu), breast color-redness (BCo-R) and breast color-yellowness (BCo-Y)] were lower in HG chickens. In contrast, meat color-lightness (BCo-L) was higher in HG chickens, whereas meat drip loss (DL) was similar in both lines. HG birds were more active on the shackle line. Association analyses were performed using maximum-likelihood interval mapping in QTLMAP. Five genome-wide significant QTLs were revealed: two for pH15 on GGA1 and GGA2, one for DL on GGA1, one for BCo-R and one for BCo-Y both on GGA11. In addition, four suggestive QTLs were identified by QTLMAP for BCo-Y, pHu, pH15 and DL on GGA1, GGA4, GGA12 and GGA14, respectively. The QTL effects, averaged on heterozygous families, ranged from 12 to 31% of the phenotypic variance. Further analyses with QTLExpress confirmed the two genome-wide QTLs for meat color on GGA11, failed to identify the genome-wide QTL for pH15 on GGA2, and revealed only suggestive QTLs for pH15 and DL on GGA1. However, QTLExpress qualified the QTL for pHu on GGA4 as genome-wide. The present study identified genome-wide significant QTLs for all meat technological traits presently assessed in these chickens, except for meat lightness. This study highlights the effects of divergent selection for growth rate on some behavioral traits, muscle biochemistry and ultimately meat quality traits. Several QTL regions were identified that are worthy of further characterization. Some QTLs may in fact co-localize, suggesting pleiotropic effects for some chromosomal regions.