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462 个人类基因组中的 A-to-I RNA 编辑组图谱。

The landscape of the A-to-I RNA editome from 462 human genomes.

机构信息

Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China.

Department of information, The 188th hospital of ChaoZhou, ChaoZhou, China.

出版信息

Sci Rep. 2018 Aug 13;8(1):12069. doi: 10.1038/s41598-018-30583-7.

Abstract

A-to-I editing, as a post-transcriptional modification process mediated by ADAR, plays a crucial role in many biological processes in metazoans. However, how and to what extent A-to-I editing diversifies and shapes population diversity at the RNA level are largely unknown. Here, we used 462 mRNA-sequencing samples from five populations of the Geuvadis Project and identified 16,518 A-to-I editing sites, with false detection rate of 1.03%. These sites form the landscape of the RNA editome of the human genome. By exploring RNA editing within and between populations, we revealed the geographic restriction of rare editing sites and population-specific patterns of edQTL editing sites. Moreover, we showed that RNA editing can be used to characterize the subtle but substantial diversity between different populations, especially those from different continents. Taken together, our results demonstrated that the nature and structure of populations at the RNA level are illustrated well by RNA editing, which provides insights into the process of how A-to-I editing shapes population diversity at the transcriptomic level. Our work will facilitate the understanding of the landscape of the RNA editome at the population scale and will be helpful for interpreting differences in the distribution and prevalence of disease among individuals and across populations.

摘要

A-to-I 编辑是一种由 ADAR 介导的转录后修饰过程,在后生动物的许多生物学过程中起着至关重要的作用。然而,A-to-I 编辑如何以及在多大程度上使 RNA 水平的群体多样性多样化和形成,在很大程度上是未知的。在这里,我们使用了 Geuvadis 项目的五个群体的 462 个 mRNA 测序样本,鉴定了 16518 个 A-to-I 编辑位点,假阳性率为 1.03%。这些位点构成了人类基因组 RNA 编辑组图谱。通过探索群体内和群体间的 RNA 编辑,我们揭示了稀有编辑位点的地理限制和 edQTL 编辑位点的群体特异性模式。此外,我们表明,RNA 编辑可用于描述不同群体之间微妙但实质性的多样性,特别是来自不同大陆的群体之间的差异。总之,我们的研究结果表明,RNA 编辑很好地说明了 RNA 水平上的群体的性质和结构,这为 A-to-I 编辑如何在转录组水平上塑造群体多样性的过程提供了新的见解。我们的工作将有助于理解人群规模的 RNA 编辑组图谱,并有助于解释个体和人群之间疾病分布和流行的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9011/6089959/238525a33171/41598_2018_30583_Fig1_HTML.jpg

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