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广泛分析 tRNA 和 tRNA 衍生片段 (tRFs) 的表达情况,揭示了植物中 tRNA 和 tRF 群体的复杂性。

Extensive profiling of the expressions of tRNAs and tRNA-derived fragments (tRFs) reveals the complexities of tRNA and tRF populations in plants.

机构信息

Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin, 300387, China.

State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.

出版信息

Sci China Life Sci. 2021 Apr;64(4):495-511. doi: 10.1007/s11427-020-1891-8. Epub 2021 Feb 8.

DOI:10.1007/s11427-020-1891-8
PMID:33569675
Abstract

Evidence is emerging that tRNA-derived fragments (tRFs) are regulatory molecules. Studies of tRFs in plants have been based on conventional small RNA sequencing, and focused on profiling of tRF-5 and tRF-3 species. A more comprehensive and quantitative analysis of the entire tRF population is highly necessary. Here, we employ tRNA-seq and YAMAT-seq, and develop a bioinformatics tool to comprehensively profile the expressions of tRNAs and tRFs in plants. We show that in Arabidopsis, approximately half of tRNA genes are extremely weakly expressed, accounting for only 1% of total tRNA abundance, while ~12% of tRNA genes contribute to ~80% of tRNA abundance. Our tRNA sequencings in various plants reveal that tRNA expression profiles exhibit a cross-species conserved pattern. By characterizing the composition of a highly heterogeneous tRF population, we show that tRNA halves and previously unnoticed 10-16-nt tiny tRFs represent substantial portions. The highly accumulated 13-nt and 16-nt tiny tRFs in Arabidopsis indicate that tiny tRFs are not random tRNA degradation products. Finally, we provide a user-friendly database for displaying the dynamic spatiotemporal expressions of tRNAs and tRFs in the model plants Arabidopsis and rice.

摘要

越来越多的证据表明 tRNA 衍生片段(tRFs)是调控分子。对植物中 tRFs 的研究基于传统的小 RNA 测序,并集中于对 tRF-5 和 tRF-3 物种的分析。因此,非常有必要对整个 tRF 群体进行更全面和定量的分析。在这里,我们采用 tRNA-seq 和 YAMAT-seq,并开发了一种生物信息学工具,全面分析植物中 tRNA 和 tRFs 的表达情况。我们表明,在拟南芥中,大约一半的 tRNA 基因表达水平极低,仅占总 tRNA 丰度的 1%,而12%的 tRNA 基因贡献了80%的 tRNA 丰度。我们在各种植物中的 tRNA 测序结果表明,tRNA 表达谱表现出跨物种保守的模式。通过对高度异质的 tRF 群体的组成进行特征分析,我们表明 tRNA 片段和以前未被注意到的 10-16-nt 微小 tRFs 占相当大的比例。在拟南芥中高度积累的 13-nt 和 16-nt 微小 tRFs 表明,微小 tRFs 不是随机的 tRNA 降解产物。最后,我们提供了一个用户友好的数据库,用于显示模型植物拟南芥和水稻中 tRNAs 和 tRFs 的动态时空表达。

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Extensive profiling of the expressions of tRNAs and tRNA-derived fragments (tRFs) reveals the complexities of tRNA and tRF populations in plants.广泛分析 tRNA 和 tRNA 衍生片段 (tRFs) 的表达情况,揭示了植物中 tRNA 和 tRF 群体的复杂性。
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