The lean-to-fat ratio is a major issue in the beef meat industry from both carcass and meat production perspectives. This industrial perspective has motivated meat physiologists to use transcriptomics technologies to decipher mechanisms behind fat deposition within muscle during the time course of muscle growth. However, synthetic biological information from this volume of data remains to be produced to identify mechanisms found in various breeds and rearing practices. We conducted a meta-analysis on 10 transcriptomic data sets stored in public databases, from the longissimus thoracis of five different bovine breeds divergent by age. We updated gene identifiers on the last version of the bovine genome (UCD1.2), and the 715 genes common to the 10 studies were subjected to the meta-analysis. Of the 238 genes differentially expressed (DEG), we identified a transcriptional signature of the dynamic regulation of glycolytic and oxidative metabolisms that agrees with a known shift between those two pathways from the animal puberty. We proposed some master genes of the myogenesis, namely MYOG and MAPK14, as probable regulators of the glycolytic and oxidative metabolisms. We also identified overexpressed genes related to lipid metabolism (APOE, LDLR, MXRA8, and HSP90AA1) that may contribute to the expected enhanced marbling as age increases. Lastly, we proposed a transcriptional signature related to the induction (YBX1) or repression (MAPK14, YWAH, ERBB2) of the commitment of myogenic progenitors into the adipogenic lineage. The relationships between the abundance of the identified mRNA and marbling values remain to be analyzed in a marbling biomarkers discovery perspectives.

中文翻译：

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年龄相关的公共转录组学数据的荟萃分析破译了肌肉生长和组成的分子特征。

从car体和肉类生产的角度来看，瘦肉脂肪比是牛肉行业的一个主要问题。这种工业观点激发了肉类生理学家使用转录组学技术来解释在肌肉生长过程中肌肉内脂肪沉积背后的机制。但是，仍需要从此大量数据中获得合成生物学信息，以识别各种品种和饲养实践中发现的机制。我们对存储在公共数据库中的10个转录组数据集进行了荟萃分析，该数据集来自年龄不同的五个不同牛品种的长经胸。我们更新了牛基因组最新版本（UCD1.2）上的基因标识符，并对10项研究共有的715个基因进行了荟萃分析。在238个差异表达基因（DEG）中，我们确定了糖酵解和氧化代谢动态调节的转录特征，与动物青春期这两种途径之间的已知转移相符。我们提出了肌生成的一些主要基因，即MYOG和MAPK14，作为糖酵解和氧化代谢的可能调节剂。我们还确定了与脂质代谢有关的过表达基因（APOE，LDLR，MXRA8和HSP90AA1），这些基因可能会随着年龄的增长而促进大理石花纹的出现。最后，我们提出了与成肌祖细胞进入成脂谱系的诱导（YBX1）或抑制（MAPK14，YWAH，ERBB2）相关的转录标记。鉴定的mRNA的丰度与大理石花纹值之间的关系有待在大理石花纹生物标记物发现角度进行分析。