With fast-evolving next-generation sequencing technology, a great amount of plant genome and transcriptome data are becoming available. Due to the availability of mature microRNA (miRNA) sequence information from the miRBase (release 21) database, it is possible to predict endogenous target mimics (eTMs) in plant by searching seed-matched target sites. We identified a total of 2669 non-redundant eTM records in 43 plant species to create a specialized web-based database platform. The platform is named PendoTMBase, which can provide details of the eTMs. Predicted pairing structure between eTMs and their target miRNA, expression levels of eTMs pairs and associated GO annotations are also stored in the database. With evaluations performed in silico, we have found that the eTMs are representative and fit for genetic studies and high value-added plants breeding. The platform also provides a function of predicting novel eTMs based on the miRNA sequences submitted by users.

随着下一代测序技术的快速发展，大量的植物基因组和转录组数据变得可用。由于可以从 miRBase（第 21 版）数据库获得成熟的 microRNA (miRNA) 序列信息，因此可以通过搜索种子匹配的目标位点来预测植物中的内源性目标模拟物 (eTM)。我们在 43 个植物物种中总共确定了 2669 个非冗余 eTM 记录，以创建一个专门的基于网络的数据库平台。该平台名为 PendoTMBase，可提供 eTM 的详细信息。eTMs 与其目标 miRNA 之间的预测配对结构、eTMs 对的表达水平和相关的 GO 注释也存储在数据库中。通过在计算机上进行的评估，我们发现 eTM 具有代表性，适用于遗传研究和高附加值植物育种。该平台还提供了基于用户提交的 miRNA 序列预测新 eTM 的功能。