Xiong Xinwei, Yang Hui, Yang Bin, Chen Congying, Huang Lusheng
Key Laboratory for Animal Biotechnology of Jiangxi Province and the Ministry of Agriculture of China, Jiangxi Agricultural University, Nanchang, China.
Key Laboratory for Animal Biotechnology of Jiangxi Province and the Ministry of Agriculture of China, Jiangxi Agricultural University, Nanchang, China
Physiol Genomics. 2015 Jul;47(7):274-80. doi: 10.1152/physiolgenomics.00005.2015. Epub 2015 Apr 21.
Growth-related traits are economically important traits to the pig industry. Identification of causative gene and mutation responsible for growth-related QTL will facilitate the improvement of pig growth through marker-assisted selection. In this study, we applied whole genome gene expression and quantitative trait transcript (QTT) analyses in 497 liver and 586 longissimus dorsi muscle samples to identify candidate genes and dissect the genetic basis of pig growth in a white Duroc × Erhualian F2 resource population. A total of 20,108 transcripts in liver and 23,728 transcripts in muscle with expression values were used for association analysis between gene expression level and phenotypic value. At the significance threshold of P < 0.0005, we identified a total of 169 and 168 QTTs for nine growth-related traits in liver and muscle, respectively. We also found that some QTTs were correlated to more than one trait. The QTTs identified here showed high tissue specificity. We did not identify any QTTs that were associated with one trait in both liver and muscle. Through an integrative genomic approach, we identified SDR16C5 as the important candidate gene in pig growth trait. These findings contribute to further identification of the causative genes for porcine growth traits and facilitate improvement of pig breeding.
生长相关性状是养猪业中具有重要经济意义的性状。鉴定与生长相关QTL相关的致病基因和突变，将有助于通过标记辅助选择来改善猪的生长性能。在本研究中，我们对497份肝脏样本和586份背最长肌样本进行了全基因组基因表达和定量性状转录本（QTT）分析，以鉴定候选基因并剖析白色杜洛克×二花脸F2资源群体中猪生长的遗传基础。共有20,108个肝脏转录本和23,728个肌肉转录本的表达值用于基因表达水平与表型值之间的关联分析。在P < 0.0005的显著性阈值下，我们分别在肝脏和肌肉中鉴定出与9个生长相关性状相关的169个和168个QTT。我们还发现一些QTT与多个性状相关。这里鉴定出的QTT表现出高度的组织特异性。我们没有发现任何在肝脏和肌肉中都与一个性状相关的QTT。通过综合基因组方法，我们鉴定出SDR16C5是猪生长性状的重要候选基因。这些发现有助于进一步鉴定猪生长性状的致病基因，并促进猪育种的改进。
