Mitochondrially mediated RNA interference, a retrograde signaling system affecting nuclear gene expression

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Federico Plazzi, Youn Le Cras, Alessandro Formaggioni, Marco Passamonti
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引用次数: 0

Abstract

Several functional classes of short noncoding RNAs are involved in manifold regulatory processes in eukaryotes, including, among the best characterized, miRNAs. One of the most intriguing regulatory networks in the eukaryotic cell is the mito-nuclear crosstalk: recently, miRNA-like elements of mitochondrial origin, called smithRNAs, were detected in a bivalve species, Ruditapes philippinarum. These RNA molecules originate in the organelle but were shown in vivo to regulate nuclear genes. Since miRNA genes evolve easily de novo with respect to protein-coding genes, in the present work we estimate the probability with which a newly arisen smithRNA finds a suitable target in the nuclear transcriptome. Simulations with transcriptomes of 12 bivalve species suggest that this probability is high and not species specific: one in a hundred million (1 × 10−8) if five mismatches between the smithRNA and the 3’ mRNA are allowed, yet many more are allowed in animals. We propose that novel smithRNAs may easily evolve as exaptation of the pre-existing mitochondrial RNAs. In turn, the ability of evolving novel smithRNAs may have played a pivotal role in mito-nuclear interactions during animal evolution, including the intriguing possibility of acting as speciation trigger.

Abstract Image

Abstract Image

线粒体介导的 RNA 干扰是一种影响核基因表达的逆向信号系统。
真核生物中有几类功能性非编码短 RNA 参与了多方面的调控过程,其中特征最明显的是 miRNA。真核细胞中最引人入胜的调控网络之一是有丝分裂-核串联:最近,在双壳贝类 Ruditapes philippinarum 中发现了线粒体来源的 miRNA 样元,称为 smithRNAs。这些 RNA 分子起源于细胞器,但在体内却能调节核基因。由于 miRNA 基因与蛋白编码基因相比很容易从头演化,我们在本研究中估算了新出现的 smithRNA 在核转录组中找到合适靶点的概率。对 12 个双壳类物种转录组的模拟表明,这种概率很高,而且没有物种特异性:如果允许铁丝核糖核酸和 3' mRNA 之间有五次错配,则概率为亿分之一(1 × 10-8),但在动物中允许更多的错配。我们认为,新的铁丝核糖核酸很容易从原有的线粒体 RNA 演化而来。反过来,进化出新型铁丝RNA的能力可能在动物进化过程中的线粒体-核相互作用中发挥了关键作用,包括可能成为物种分化的触发器。
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
CiteScore
7.20
自引率
4.30%
发文量
567
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