Clusters of microRNAs emerge by new hairpins in existing transcripts.
Clusters of microRNAs emerge by new hairpins in existing transcripts.
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DOI：
10.1093/nar/gkt534
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发表时间：
2013-09
影响因子：
14.9
通讯作者：
Griffiths-Jones S
中科院分区：
文献类型：
--
作者：
Marco A;Ninova M;Ronshaugen M;Griffiths-Jones S
遗传连锁可导致在单个启动子的控制下，从多顺反子转录物表达多种产物。在动物中，编码蛋白质的多顺反子转录物是罕见的。然而，microRNA经常聚集在动物的基因组中，并且这些簇通常被转录为单个单位。microRNA簇的进化一直是许多推测的主题，并且经常提出功能相关的microRNA簇的选择性优势。然而，microRNA簇的起源至今尚未被探索。在这里，我们研究了果蝇microRNA簇的进化。我们观察到大多数microRNA簇是由现有microRNA转录物中新的microRNA样发夹从头形成而产生的。一些簇也通过单个microRNA的串联复制而出现。比较基因组学表明，这些簇不太可能分裂或经历重排。我们没有发现任何通过重排预先存在的microRNA基因而出现簇的实例。我们提出了一个microRNA簇进化的模型，在该模型中，对簇中一个microRNA的选择干扰了其他相关microRNA的进化。我们的分析表明，microRNA和小RNA的研究必须考虑连锁关联。
Genetic linkage may result in the expression of multiple products from a polycistronic transcript, under the control of a single promoter. In animals, protein-coding polycistronic transcripts are rare. However, microRNAs are frequently clustered in the genomes of animals, and these clusters are often transcribed as a single unit. The evolution of microRNA clusters has been the subject of much speculation, and a selective advantage of clusters of functionally related microRNAs is often proposed. However, the origin of microRNA clusters has not been so far explored. Here, we study the evolution of microRNA clusters in Drosophila melanogaster. We observed that the majority of microRNA clusters arose by the de novo formation of new microRNA-like hairpins in existing microRNA transcripts. Some clusters also emerged by tandem duplication of a single microRNA. Comparative genomics show that these clusters are unlikely to split or undergo rearrangements. We did not find any instances of clusters appearing by rearrangement of pre-existing microRNA genes. We propose a model for microRNA cluster evolution in which selection over one of the microRNAs in the cluster interferes with the evolution of the other linked microRNAs. Our analysis suggests that the study of microRNAs and small RNAs must consider linkage associations.
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影响因子：
56.9
作者：
Lagos-Quintana, M;Rauhut, R;Tuschl, T
通讯作者：
Tuschl, T
影响因子：
14.9
作者：
Kozomara A;Griffiths-Jones S
通讯作者：
Griffiths-Jones S
影响因子：
64.5
作者：
Han, Jinju;Lee, Yoontae;Kim, V. Narry
通讯作者：
Kim, V. Narry
DOI：
10.1093/bfgp/3.3.199
发表时间：
2004-11-01
期刊：
Briefings in Functional Genomics & Proteomics
影响因子：
--
作者：
Blumenthal, Thomas
通讯作者：
Blumenthal, Thomas
影响因子：
14.9
作者：
Altuvia Y;Landgraf P;Lithwick G;Elefant N;Pfeffer S;Aravin A;Brownstein MJ;Tuschl T;Margalit H
通讯作者：
Margalit H