bioRxivPlant BiologyPreprint
The multiomics landscape of small peptides encoded by long non-coding RNA-derived sORFs in rice
Zhipeng CheniD, Haocheng LiniD, Lirong WeiiD, Sunxi Wang, Ting PengiD, Wei SongiD, Da‐Cheng WangiD, Yufeng WuiD, Liuji WuiD, Jingni WuiD, Yiming WangiD
Abstract
Long non-coding RNAs (lncRNAs), representing the non-coding RNA regions, constitute a significant portion of the genomes in complex organisms. Recent studies suggest that some lncRNAs have the capability to encode peptides. However, the presence of the lncRNA-derived sORFs-encoded polypeotides (LSEPs) in plants is not well understood. In this study, we developed a multi-omics approach that encompasses transcriptomics, translatomics (Ribo-seq), and proteomics to identify of LSEPs in rice. Among the 2764 identified lncRNAs, 42.69% were found to be bound by the ribosome, indicating a potential for encoding. Optimized small peptide extraction protocol was further developed, and the small peptides from rice leaves were extracted and subjected to LC-MS/MS analysis, leading to the identification of a total of 403 LSEPs across four constructed search databases. This work confirms the peptide-coding ability of lncRNAs in plants. Collectively, our study establishes an efficient multi-omics method for identifiying small peptides encoded by lncRNAs, which may be valuable for large-scare screening of LSEPs in plants.
- organism: plant (other)
- assay: bulk RNA-seq
- assay: Ribo-seq
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: protein folding & dynamics
- approach: deep learning
- approach: statistical model
- Citations
- 0
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