Department of Animal and Dairy Sciences, University of Wisconsin-Madison, 1675 Observatory Drive, Madison, WI, 53706, USA.
Department of Animal Sciences, University of Florida, Gainesville, FL, 32611, USA.
BMC Genomics. 2020 Oct 2;21(1):684. doi: 10.1186/s12864-020-07068-x.
Coexpression network analysis is a powerful tool to reveal transcriptional regulatory mechanisms, identify transcription factors, and discover gene functions. It can also be used to investigate changes in coexpression patterns in response to environmental insults or changes in experimental conditions. Maternal nutrition is considered a major intrauterine regulator of fetal developmental programming. The objective of this study was to investigate structural changes in gene coexpression networks in the muscle of bull beef calves gestated under diets with or without methionine supplementation. Both muscle transcriptome and methylome were evaluated using next generation sequencing.
Maternal methionine supplementation significantly perturbed coexpression patterns in the offspring's muscle. Indeed, we found that neither the connection strength nor the connectivity pattern of six modules (subnetworks) detected in the control diet were preserved in the methionine-rich diet. Functional characterization revealed that some of the unpreserved modules are implicated in myogenesis, adipogenesis, fibrogenesis, canonical Wnt/β-catenin pathway, ribosome structure, rRNA binding and processing, mitochondrial activities, ATP synthesis and NAD(P) H oxidoreductases, among other functions. The bisulfite sequencing analysis showed that nearly 2% of all evaluated cytosines were differentially methylated between maternal diets. Interestingly, there were significant differences in the levels of gene body DNA methylation between preserved and unpreserved modules.
Overall, our findings provide evidence that maternal nutrition can significantly alter gene coexpression patterns in the offspring, and some of these perturbations are mediated by changes in DNA methylation.
共表达网络分析是揭示转录调控机制、鉴定转录因子和发现基因功能的有力工具。它还可用于研究在应对环境胁迫或实验条件变化时共表达模式的变化。母体营养被认为是胎儿发育编程的主要宫内调节剂。本研究的目的是研究在添加或不添加蛋氨酸的饮食下饲养的公牛犊肌肉中的基因共表达网络的结构变化。使用下一代测序评估了肌肉转录组和甲基组。
母体蛋氨酸补充显著改变了后代肌肉中的共表达模式。实际上,我们发现,在对照饮食中检测到的六个模块(子网络)的连接强度和连接模式都没有在富含蛋氨酸的饮食中保留下来。功能特征表明,一些未保留的模块与肌发生、脂肪发生、纤维化、经典 Wnt/β-连环蛋白途径、核糖体结构、rRNA 结合和加工、线粒体活性、ATP 合成和 NAD(P)H 氧化还原酶等功能有关。亚硫酸氢盐测序分析表明,在评估的所有胞嘧啶中,近 2%的胞嘧啶在母体饮食之间存在差异甲基化。有趣的是,在保留和未保留模块之间,基因体 DNA 甲基化水平存在显著差异。
总的来说,我们的研究结果提供了证据,表明母体营养可以显著改变后代的基因共表达模式,其中一些干扰是由 DNA 甲基化的变化介导的。