植物非编码RNA的潜在翻译产物及其调控网络研究

非编码RNA（ncRNA）是目前生命科学重要的研究领域。ncRNA参与各种方式的生物进程与调控。植物ncRNA的研究主要还是针对单一层面的ncRNA数据进行分析研究，一方面没有考虑到不同ncRNA的相互调控关系，另一方面ncRNA的潜在翻译产物也参与相关的调控。本项目在前期对植物ncRNA和网络构建的研究基础上，拟开展基于Ribo-seq等组学数据，对植物（以拟南芥和水稻为模式）ncRNA高通量数据进行生物信息学综合分析，开发并完善相关分析方法流程，大规模识别鉴定具有编码潜能的ncRNA及其翻译产物,并挖掘其调控关系构建整合网络；后续结合实验验证ncRNA及翻译产生的多肽的功能表达。

Noncoding RNA (ncRNA) study is an important research field in life sciences. NcRNAs are involved in various biological processes and molecular regulations. The previous studies on plant ncRNAs mainly focused on the analysis of single-level ncRNA data, which hardly considers the regulatory relationships among different ncRNAs. Moreover, potential translation products of ncRNA may also participate in the relevant regulation. Based on our previous research on plant ncRNAs and their regulatory network construction, this project proposal is to carry out a comprehensive bioinformatic analysis of coding-potential ncRNAs and their putative translated products (peptides) in plants (Arabidopsis and rice). We plan to explore high-throughput datasets such as Ribo-seq, RNA-seq, sRNA-seq and other genomic/epigenomic data, to develop and improve the relevant analytical methods and processes, and to completely identify coding-potential ncRNAs and their translated products. We will construct an integrated network by integrating various interactions/regulations from different levels, and try to identify some key functional ncRNAs and their translated peptides that will be further verified by subsequent experiments.