Genome-wide identification of RNA editing sites in chloroplast transcripts and multiple organellar RNA editing factors in tea plant (Camellia sinensis L.): Insights into the albinism mechanism of tea leaves.

RNA editing is a post-transcriptional modification process, the chloroplast genes of which are involved in the process of chloroplast development in plant. However, the RNA editing sites of chloroplast genes remains unknown. In this study, we identified 39 RNA editing sites in 18 chloroplast genes from chloroplast genome of C. sinensis. Furthermore, the feature, structures and specificity of RNA editing sites were systematic analyzed. The differential editing efficiency were examined at 11 RNA editing sites among C. sinensis var. sinensis 'Huabai 1', 'Baiye 1' and 'Longjing 43'. Meanwhile, we identified 10 C. sinensis MORFs from five subgroups and performed comparative analyses of chromosome locations, duplication model and expression profiles. Expression analysis showed that the expression level of CsMORF9.2 was down-regulated significantly in 'Huabai 1' albino tea cultivar. This study provides a foundation for further reveal in the role of chloroplast RNA editing in albinism process of tea leaves.

ChloroSeq, an Optimized Chloroplast RNA-Seq Bioinformatic Pipeline, Reveals Remodeling of the Organellar Transcriptome Under Heat Stress.

Although RNA-Seq has revolutionized transcript analysis, organellar transcriptomes are rarely assessed even when present in published datasets. Here, we describe the development and application of a rapid and convenient method, ChloroSeq, to delineate qualitative and quantitative features of chloroplast RNA metabolism from strand-specific RNA-Seq datasets, including processing, editing, splicing, and relative transcript abundance. The use of a single experiment to analyze systematically chloroplast transcript maturation and abundance is of particular interest due to frequent pleiotropic effects observed in mutants that affect chloroplast gene expression and/or photosynthesis. To illustrate its utility, ChloroSeq was applied to published RNA-Seq datasets derived from Arabidopsis thaliana grown under control and abiotic stress conditions, where the organellar transcriptome had not been examined. The most appreciable effects were found for heat stress, which induces a global reduction in splicing and editing efficiency, and leads to increased abundance of chloroplast transcripts, including genic, intergenic, and antisense transcripts. Moreover, by concomitantly analyzing nuclear transcripts that encode chloroplast gene expression regulators from the same libraries, we demonstrate the possibility of achieving a holistic understanding of the nucleus-organelle system. ChloroSeq thus represents a unique method for streamlining RNA-Seq data interpretation of the chloroplast transcriptome and its regulators.