Li Dong, Wang Yulong, Yuan Tiantian, Cao Minghao, He Yulin, Zhang Lin, Li Xiang, Jiang Yifan, Li Ke, Sun Jingchun, Lv Guangquan, Su Guosheng, Wang Qishan, Pan Yuchun, Li Xinjian, Jiang Yu, Yang Gongshe, Groenen Martien A M, Derks Martijn F L, Ding Rongrong, Ding Xiangdong, Yu Taiyong
Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology Northwest A&F University Yangling Shaanxi China.
State Key Laboratory of Animal Biotech Breeding National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology China Agricultural University Beijing China.
Imeta. 2024 Dec 26;3(6):e257. doi: 10.1002/imt2.257. eCollection 2024 Dec.
The development of a comprehensive pig graph pangenome assembly encompassing 27 genomes represents the most extensive collection of pig genomic data to date. Analysis of this pangenome reveals the critical role of structural variations in driving adaptation and defining breed-specific traits. Notably, the study identifies as a key candidate gene governing intramuscular fat deposition and meat quality in pigs. These findings underscore the power of pangenome approaches in uncovering novel genomic features underlying economically important agricultural traits. Collectively, these results demonstrate the value of leveraging large-scale, multi-genome analyses for advancing our understanding of livestock genomes and accelerating genetic improvement.
包含27个基因组的全面猪图形泛基因组组装的发展代表了迄今为止最广泛的猪基因组数据集合。对这个泛基因组的分析揭示了结构变异在推动适应性和定义品种特异性性状方面的关键作用。值得注意的是，该研究确定 为控制猪肌肉内脂肪沉积和肉质的关键候选基因。这些发现强调了泛基因组方法在揭示经济上重要的农业性状潜在新基因组特征方面的力量。总体而言，这些结果证明了利用大规模、多基因组分析来推进我们对家畜基因组的理解和加速遗传改良的价值。
