Comprehensive expression genome-wide association study of long non-coding RNAs in four porcine tissues

IF 3.4 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Liyan Deng , Marta Gòdia , Martijn F.L. Derks , Barbara Harlizius , Samin Farhangi , Zhonglin Tang , Martien A.M. Groenen , Ole Madsen
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引用次数: 0

Abstract

Background

Long non-coding RNAs (lncRNAs), a type of non-coding RNA molecules, are known to play critical regulatory roles in various biological processes. However, the functions of the majority of lncRNAs remain largely unknown, and little is understood about the regulation of lncRNA expression. In this study, high-throughput DNA genotyping and RNA sequencing were applied to investigate genomic regions associated with lncRNA expression, commonly referred to as lncRNA expression quantitative trait loci (eQTLs). We analyzed the liver, lung, spleen, and muscle transcriptomes of 100 three-way crossbred sows to identify lncRNA transcripts, explore genomic regions that might influence lncRNA expression, and identify potential regulators interacting with these regions.

Result

We identified 6380 lncRNA transcripts and 3733 lncRNA genes. Correlation tests between the expression of lncRNAs and protein-coding genes were performed. Subsequently, functional enrichment analyses were carried out on protein-coding genes highly correlated with lncRNAs. Our correlation results of these protein-coding genes uncovered terms that are related to tissue specific functions. Additionally, heatmaps of lncRNAs and protein-coding genes at different correlation levels revealed several distinct clusters. An expression genome-wide association study (eGWAS) was conducted using 535,896 genotypes and 1829, 1944, 2089, and 2074 expressed lncRNA genes for liver, spleen, lung, and muscle, respectively. This analysis identified 520,562 significant associations and 6654, 4525, 4842, and 7125 eQTLs for the respective tissues. Only a small portion of these eQTLs were classified as cis-eQTLs. Fifteen regions with the highest eQTL density were selected as eGWAS hotspots and potential mechanisms of lncRNA regulation in these hotspots were explored. However, we did not identify any interactions between the transcription factors or miRNAs in the hotspots and the lncRNAs, nor did we observe a significant enrichment of regulatory elements in these hotspots. While we could not pinpoint the key factors regulating lncRNA expression, our results suggest that the regulation of lncRNAs involves more complex mechanisms.

Conclusion

Our findings provide insights into several features and potential functions of lncRNAs in various tissues. However, the mechanisms by which lncRNA eQTLs regulate lncRNA expression remain unclear. Further research is needed to explore the regulation of lncRNA expression and the mechanisms underlying lncRNA interactions with small molecules and regulatory proteins.
长链非编码rna在四种猪组织中的综合表达全基因组关联研究。
背景:长链非编码RNA (Long non-coding RNA, lncRNAs)是一类非编码RNA分子,在多种生物过程中发挥着重要的调控作用。然而,大多数lncRNA的功能在很大程度上仍然未知,对lncRNA表达的调控也知之甚少。本研究采用高通量DNA基因分型和RNA测序技术研究与lncRNA表达相关的基因组区域,通常称为lncRNA表达数量性状位点(quantitative trait loci, eQTLs)。我们分析了100头三元杂交母猪的肝脏、肺、脾脏和肌肉转录组,以鉴定lncRNA转录本,探索可能影响lncRNA表达的基因组区域,并鉴定与这些区域相互作用的潜在调节因子。结果:共鉴定出6380个lncRNA转录本和3733个lncRNA基因。进行lncrna表达与蛋白编码基因的相关性检验。随后,对与lncRNAs高度相关的蛋白编码基因进行功能富集分析。我们对这些蛋白质编码基因的关联结果揭示了与组织特定功能相关的术语。此外,不同相关水平的lncrna和蛋白质编码基因的热图显示了几个不同的簇。利用535,896个基因型和1829、1944、2089和2074个表达lncRNA基因分别在肝脏、脾脏、肺和肌肉中进行了表达全基因组关联研究(eGWAS)。该分析确定了520,562个显著关联和6654、4525、4842和7125个eqtl。这些eqtl中只有一小部分被归类为顺式eqtl。我们选择了15个eQTL密度最高的区域作为eGWAS热点,并探讨了这些热点地区lncRNA调控的潜在机制。然而,我们没有发现热点中的转录因子或mirna与lncrna之间存在任何相互作用,也没有观察到这些热点中调控元件的显著富集。虽然我们无法确定调控lncRNA表达的关键因素,但我们的研究结果表明,lncRNA的调控涉及更复杂的机制。结论:我们的研究结果揭示了lncrna在不同组织中的一些特征和潜在功能。然而,lncRNA eqtl调控lncRNA表达的机制尚不清楚。lncRNA表达的调控以及lncRNA与小分子和调控蛋白相互作用的机制有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genomics
Genomics 生物-生物工程与应用微生物
CiteScore
9.60
自引率
2.30%
发文量
260
审稿时长
60 days
期刊介绍: Genomics is a forum for describing the development of genome-scale technologies and their application to all areas of biological investigation. As a journal that has evolved with the field that carries its name, Genomics focuses on the development and application of cutting-edge methods, addressing fundamental questions with potential interest to a wide audience. Our aim is to publish the highest quality research and to provide authors with rapid, fair and accurate review and publication of manuscripts falling within our scope.
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