Project description:Long non-coding RNAs (lncRNAs) are essential regulators of a broad range of biological processes in plants. Spectacular progress in next-generation sequencing technologies has enabled genome-wide identification of lncRNAs in multiple plant species. In this study, genome-wide lncRNA sequencing technology was used to identify cold-responsive lncRNAs at the booting stage in rice by comparison of a tolerant variety, Kongyu131 (KY131), and a sensitive variety, Dongnong422 (DN422). GO and KEGG enrichment analysis were performed, focusing on the cis- and trans- target genes of differential lncRNAs. To identify cold-responsive genes, a meta-analysis was used to integrate cold-tolerant QTLs at the booting stage. In total, 13 cold-responsive target genes were obtained by KEGG enrichment analysis combined with meta-analysis, as confirmed by qRT-PCR. Finally, three of these genes were identified in response to cold stress. These results sought to provide new insight into cold-resistance research for rice.
Project description:Here, we present OryzaPG-DB, a rice proteome database based on shotgun proteogenomics, which incorporates the genomic features of experimental shotgun proteomics data. This version of the database was created from the results of 27 nanoLC-MS/MS runs on a hybrid ion trap-orbitrap mass spectrometer, which offers high accuracy for analyzing tryptic digests from undifferentiated cultured rice cells. Peptides were identified by searching the product ion spectra against the protein, cDNA, transcript and genome databases from Michigan State University, and were mapped to the rice genome. Approximately 3200 genes were covered by these peptides and 40 of them contained novel genomic features. Users can search, download or navigate the database per chromosome, gene, protein, cDNA or transcript and download the updated annotations in standard GFF3 format, with visualization in PNG format. In addition, the database scheme of OryzaPG was designed to be generic and can be reused to host similar proteogenomic information for other species. OryzaPG is the first proteogenomics-based database of the rice proteome, providing peptide-based expression profiles, together with the corresponding genomic origin, including the annotation of novelty for each peptide.