Shen Linyuan, Luo Jia, Du Jingjing, Liu Chendong, Wu Xiaoqian, Pu Qiang, Fu Yuhua, Tang Qianzi, Liu Yuanrui, Li Qiang, Yang Runlin, Li Xuewei, Tang Guoqing, Jiang Yanzhi, Li Mingzhou, Zhang Shunhua, Zhu Li
College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics, Huazhong Agricultural University, Wuhan, China.
PLoS One. 2015 Aug 20;10(8):e0135978. doi: 10.1371/journal.pone.0135978. eCollection 2015.
Animal growth curves can provide essential information for animal breeders to optimize feeding and management strategies. However, the genetic mechanism underlying the phenotypic differentiation between the inflection point and asymptotic stages of the growth curve is not well characterized. Here, we employed Liangshan pigs in stages of growth at the inflection point (under inflection point: UIP) and the two asymptotic stages (before the inflection point: BIP, after the inflection point: AIP) as models to survey global gene expression in the longissimus dorsi muscle using digital gene expression (DGE) tag profiling. We found Liangshan pigs reached maximum growth rate (UIP) at 163.6 days of age and a weight of 134.6 kg. The DGE libraries generated 117 million reads of 5.89 gigabases in length. 21,331, 20,996 and 20,139 expressed transcripts were identified BIP, UIP and AIP, respectively. Among them, we identified 757 differentially expressed genes (DEGs) between BIP and UIP, and 271 DEGs between AIP and UIP. An enrichment analysis of DEGs proved the immune system was strengthened in the AIP stage. Energy metabolism rate, global transcriptional activity and bone development intensity were highest UIP. Meat from Liangshan pigs had the highest intramuscular fat content and most favorable fatty acid composition in the AIP. Three hundred eighty (27.70%) specific expression genes were highly enriched in QTL regions for growth and meat quality traits. This study completed a comprehensive analysis of diverse genetic mechanisms underlying the inflection point and asymptotic stages of growth. Our findings will serve as an important resource in the understanding of animal growth and development in indigenous pig breeds.
动物生长曲线可为动物育种者优化饲养和管理策略提供重要信息。然而,生长曲线拐点和渐近阶段之间表型分化的遗传机制尚未得到充分表征。在此,我们以处于生长拐点阶段(拐点以下:UIP)和两个渐近阶段(拐点之前:BIP,拐点之后:AIP)的凉山猪为模型,采用数字基因表达(DGE)标签分析技术检测背最长肌中的全局基因表达。我们发现凉山猪在163.6日龄、体重134.6千克时达到最大生长速率(UIP)。DGE文库产生了长度为5.89吉碱基的1.17亿条 reads。分别在BIP、UIP和AIP中鉴定出21,331、20,996和20,139个表达转录本。其中,我们鉴定出BIP和UIP之间有757个差异表达基因(DEG),AIP和UIP之间有271个DEG。对DEG的富集分析证明,AIP阶段的免疫系统得到增强。UIP阶段的能量代谢率、全局转录活性和骨骼发育强度最高。凉山猪的肉在AIP阶段肌内脂肪含量最高,脂肪酸组成最有利。380个(27.70%)特异性表达基因在生长和肉质性状的QTL区域高度富集。本研究完成了对生长拐点和渐近阶段多种遗传机制的综合分析。我们的研究结果将成为理解地方猪种动物生长发育的重要资源。