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比较转录组学揭示中国晋江黄牛死后早期肌肉特异性分子差异。

Comparative transcriptomics to reveal muscle-specific molecular differences in the early postmortem of Chinese Jinjiang yellow cattle.

机构信息

College of Food Science and Nutritional Engineering, China Agricultural University, No. 17 Qinghua East Road, Haidian District, Beijing 100083, PR China; Beijing Higher Institution Engineering Research Center of Animal Product, China Agricultural University, No. 17 Qinghua East Road, Haidian District, Beijing 100083, PR China.

College of Life Science, Yantai University, No. 30 Qingquan Road, Laishan District, Yantai, Shandong Province, PR China.

出版信息

Food Chem. 2019 Dec 15;301:125262. doi: 10.1016/j.foodchem.2019.125262. Epub 2019 Jul 26.

Abstract

Differences in the expression of functional genes between beef Longissimus Lumborum (LL) and Psoas Major (PM) are not well understood. The aim of present study is to reveal transcriptome changes of beef LL and PM during early postmortem by high-throughput Illumina Hiseq4000 Sequencing. Hierarchical clustering analysis indicated significant differences in transcriptome profiles between LL and PM as well as 1 h and 12 h postmortem. A total of 65 genes differentially expressed between LL and PM (fold change ≥3, and p < 0.05; 34 were up-regulated in LL and 31 in PM), and the majority of them (53 genes) occurred at 12 h postmortem. These differentially expressed genes mainly involved in energy production and conversion, nucleotide metabolic, posttranslational modification, and transcription. KEGG analysis revealed that oxidative phosphorylation was one of the important pathways. This study gave new perspectives to understand the underlying mechanisms associated with muscle-specific beef quality.

摘要

牛背最长肌(LL)和腰大肌(PM)之间功能基因表达的差异尚不清楚。本研究旨在通过高通量 Illumina Hiseq4000 测序揭示牛肉 LL 和 PM 在宰后早期的转录组变化。层次聚类分析表明,LL 和 PM 以及宰后 1 小时和 12 小时之间的转录组图谱存在显著差异。共有 65 个基因在 LL 和 PM 之间差异表达(倍数变化≥3,p<0.05;34 个在 LL 中上调,31 个在 PM 中上调),其中大多数(53 个)发生在宰后 12 小时。这些差异表达的基因主要涉及能量产生和转化、核苷酸代谢、翻译后修饰和转录。KEGG 分析表明,氧化磷酸化是重要途径之一。本研究为理解与肌肉特异性牛肉质量相关的潜在机制提供了新的视角。

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