ArticleScientific reports2025
Identification and characterization of tissue- and stress-specific circular RNAs (circRNAs) of tea to generate the largest tea circRNAs data repository.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Enormous RNA-seq data of tea (Camellia sinensis) is available at NCBI, yet only 3,174 circular RNAs (circRNAs) have been reported to date. This study establishes a foundation for using public datasets to generate circRNA reservoirs. After standardizing the pipeline using in-house RNA-seq data from Indian tea, 178 RNA-seq datasets of tea were downloaded from NCBI and used for the generation of the largest tissue and stress-specific tea circRNAs repository (TCDB; http://indianteagenome.in:8080/tcdb/ ), till date. A total of 3052 and 59,575 full-length circRNA isoforms were identified from Indian tea and downloaded public datasets, respectively. Notably, only 10% of these shared homologies with known plant circRNAs, indicating that 90% are novel. Since only 9.77% circRNAs were shared between 25,651 and 39,750 circRNAs from stress- and tissue-related RNA-seq data, respectively, mostly are either tissue- or stress-specific. Annotation of parental genes of differentially expressed circRNAs (DECs) highlighted their roles in important pathways, including phenylpropanoid biosynthesis, aminoacyl-tRNA biosynthesis, and regulation of different metabolisms. Although circRNA-miRNA interaction analysis favors the role of circRNAs as miRNA sponges, with 17% of circRNAs having no miRNA interactions, there could be other possible functions of circRNAs. While circRNA data generated at this large scale could serve as foundation for in-depth studies on tea circRNAs, the strategy of using available public RNA-seq data to detect circRNAs and conduct further downstream analysis will aid in accelerating similar studies in other species.
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