Amsel Daniel, Vilcinskas Andreas, Billion André
Fraunhofer Institute for Molecular Biology and Applied Ecology, Department of Bioresources, Winchester Str. 2, 35394, Giessen, Germany.
Institute for Insect Biotechnology, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany.
BMC Bioinformatics. 2017 Aug 3;18(1):359. doi: 10.1186/s12859-017-1772-z.
MicroRNAs carry out post-transcriptional gene regulation in animals by binding to the 3' untranslated regions of mRNAs, causing their degradation or translational repression. MicroRNAs influence many biological functions, and dysregulation can therefore disrupt development or even cause death. High-throughput sequencing and the mining of animal small RNA data has shown that microRNA genes can yield differentially expressed isoforms, known as isomiRs. Such isoforms are particularly relevant during early development, and the extension or truncation of the 5' end can change the profile of mRNA targets compared to the original mature sequence. We used the publicly available small RNA dataset of the model beetle Tribolium castaneum to create the first comparative isomiRome of early developmental stages in this species. Standard microRNA analysis software does not specifically account for isomiRs. We therefore carried out the first comparative evaluation of the specialized tools isomiRID, isomiR-SEA and miraligner, which can be downloaded for local use and can handle next generation sequencing data.
We compared the performance of isomiRID, isomiR-SEA and miraligner using simulated Illumina HiSeq2000 and MiSeq data to test the impact of technical errors. We also created artificial microRNA isoforms to determine the effect of biological variants on the performance of each algorithm. We found that isomiRID achieved the best true positive rate among the three algorithms, but only accounted for one mutation at a time. In contrast, miraligner reported all variations simultaneously but with 78% sensitivity, yielding isomiRs with 3' or 5' deletions. Finally, isomiR-SEA achieved a sensitivity of 25-33% when the seed region was mutated or partly deleted, but was the only tool that could accommodate more than one mismatch. Using the best tool, we performed a complete isomiRome analysis of the early developmental stages of T. castaneum.
Our findings will help researchers to select the most suitable isomiR analysis tools for their experiments. We confirmed the dynamic expression of 3' non-template isomiRs and expanded the isomiRome by all known isomiR modifications during the early development of T. castaneum.
微小RNA通过与mRNA的3'非翻译区结合,在动物中进行转录后基因调控,导致mRNA降解或翻译抑制。微小RNA影响许多生物学功能,因此失调会破坏发育甚至导致死亡。高通量测序和动物小RNA数据挖掘表明,微小RNA基因可产生差异表达的异构体,即异微小RNA。这些异构体在早期发育过程中尤为重要,与原始成熟序列相比,5'端的延长或截断可改变mRNA靶标的图谱。我们使用模式甲虫赤拟谷盗公开可用的小RNA数据集,创建了该物种早期发育阶段的首个比较异微小RNA组。标准的微小RNA分析软件并未专门考虑异微小RNA。因此,我们对可下载用于本地使用并能处理下一代测序数据的专门工具isomiRID、isomiR-SEA和miraligner进行了首次比较评估。
我们使用模拟的Illumina HiSeq2000和MiSeq数据比较了isomiRID、isomiR-SEA和miraligner的性能,以测试技术误差的影响。我们还创建了人工微小RNA异构体,以确定生物学变异对每种算法性能的影响。我们发现,在三种算法中isomiRID实现了最佳的真阳性率,但一次仅考虑一个突变。相比之下,miraligner同时报告所有变异,但灵敏度为78%,产生具有3'或5'缺失的异微小RNA。最后,当种子区域发生突变或部分缺失时,isomiR-SEA的灵敏度为25 - 33%,但它是唯一能够容纳多个错配碱基的工具。使用最佳工具,我们对赤拟谷盗的早期发育阶段进行了完整的异微小RNA组分析。
我们的研究结果将帮助研究人员为其实验选择最合适的异微小RNA分析工具。我们证实了3'非模板异微小RNA的动态表达,并在赤拟谷盗的早期发育过程中通过所有已知的异微小RNA修饰扩展了异微小RNA组。