Department of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 17546, Republic of Korea.
Department of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do 17546, Republic of Korea.
Meat Sci. 2024 Nov;217:109617. doi: 10.1016/j.meatsci.2024.109617. Epub 2024 Jul 29.
Genome to phenome analysis is necessary in livestock areas because of its various and complex phenotypes. Pork belly is a favorable part of meat worldwide, including East Asia. A previous study has suggested that the three key transcription factors (ZNF444, NFYA and PPARG) affecting pork belly traits include total volume, the volume of total fat and muscle, and component muscles of the corresponding slice. However, other transcription factor genes affecting each slice other than pork belly component traits still needed to be identified. Thus, we aimed to analyze pork belly components at the genome to phenome level for identifying key transcription factor genes and their co-associated networks. The range of node numbers against each component trait via the association weight matrix was from 598 to 3020. Premised on the result, an in silico functional approach was performed. Each co-association network enriched three key transcription factors in adipogenesis and skeletal muscle proliferation, mesoderm development, metabolism, and gene transcription. The three key transcription factors and their related genes may be useful in comprehending their effect of pork belly construction.
由于其各种复杂的表型,在畜牧领域进行从基因组到表型组的分析是必要的。猪肚是全世界(包括东亚)都喜欢的肉类部位。之前的一项研究表明,影响猪肚特征的三个关键转录因子(ZNF444、NFYA 和 PPARG)包括总容积、总脂肪和肌肉的体积以及相应切片的肌肉成分。然而,除了猪肚成分特征之外,还需要确定影响每个切片的其他转录因子基因。因此,我们旨在从基因组到表型组水平分析猪肚成分,以鉴定关键转录因子基因及其共同相关的网络。通过关联权重矩阵针对每个成分特征的节点数量范围为 598 至 3020。基于这一结果,我们进行了一种计算机模拟的功能方法。每个共同关联网络都富集了三个关键转录因子,它们与脂肪生成和骨骼肌增殖、中胚层发育、代谢和基因转录有关。这三个关键转录因子及其相关基因可能有助于理解它们对猪肚构建的影响。