Cho In-Cheol, Yoo Chae-Kyoung, Lee Jae-Bong, Jung Eun-Ji, Han Sang-Hyun, Lee Sung-Soo, Ko Moon-Suck, Lim Hyun-Tae, Park Hee-Bok
Subtropical Animal Experiment Station, National Institute of Animal Science, Rural Development Administration, Jeju, 690-150, Korea.
Department of Animal Science, College of Agriculture and Life Sciences, Gyeongsang National University, Jinju, 660-701, Korea.
Genet Sel Evol. 2015 Feb 22;47(1):7. doi: 10.1186/s12711-014-0080-6.
We conducted a genome-wide linkage analysis to identify quantitative trait loci (QTL) that influence meat quality-related traits in a large F2 intercross between Landrace and Korean native pigs. Thirteen meat quality-related traits of the m. longissimus lumborum et thoracis were measured in more than 830 F2 progeny. All these animals were genotyped with 173 microsatellite markers located throughout the pig genome, and the GridQTL program based on the least squares regression model was used to perform the QTL analysis.
We identified 23 genome-wide significant QTL in eight chromosome regions (SSC1, 2, 6, 7, 9, 12, 13, and 16) (SSC for Sus Scrofa) and detected 51 suggestive QTL in the 17 chromosome regions. QTL that affect 10 meat quality traits were detected on SSC12 and were highly significant at the genome-wide level. In particular, the QTL with the largest effect affected crude fat percentage and explained 22.5% of the phenotypic variance (F-ratio = 278.0 under the additive model, nominal P = 5.5 × 10(-55)). Interestingly, the QTL on SSC12 that influenced meat quality traits showed an obvious trend for co-localization.
Our results confirm several previously reported QTL. In addition, we identified novel QTL for meat quality traits, which together with the associated positional candidate genes improve the knowledge on the genetic structure that underlies genetic variation for meat quality traits in pigs.
我们进行了全基因组连锁分析,以鉴定影响长白猪和韩国本土猪大F2杂交后代肉质相关性状的数量性状基因座(QTL)。在830多头F2后代中测量了胸腰最长肌的13个肉质相关性状。所有这些动物都用遍布猪基因组的173个微卫星标记进行了基因分型,并使用基于最小二乘回归模型的GridQTL程序进行QTL分析。
我们在八个染色体区域(猪1号、2号、6号、7号、9号、12号、13号和16号染色体)鉴定出23个全基因组显著QTL,并在17个染色体区域检测到51个潜在QTL。在猪12号染色体上检测到影响10个肉质性状的QTL,在全基因组水平上高度显著。特别是,效应最大的QTL影响粗脂肪百分比,解释了22.5%的表型变异(加性模型下F比率 = 278.0,名义P = 5.5×10⁻⁵⁵)。有趣的是,猪12号染色体上影响肉质性状的QTL显示出明显的共定位趋势。
我们的结果证实了一些先前报道的QTL。此外,我们鉴定出了肉质性状的新QTL,这些QTL与相关的位置候选基因一起,增进了我们对猪肉质性状遗传变异基础遗传结构的了解。