Dataset Information

Transcriptome-guided annotation and functional classification of long non-coding RNAs in Arabidopsis thaliana.

ABSTRACT: Long non-coding RNAs (lncRNAs) are a prominent class of eukaryotic regulatory genes. Despite the numerous available transcriptomic datasets, the annotation of plant lncRNAs remains based on dated annotations that have been historically carried over. We present a substantially improved annotation of Arabidopsis thaliana lncRNAs, generated by integrating 224 transcriptomes in multiple tissues, conditions, and developmental stages. We annotate 6764 lncRNA genes, including 3772 that are novel. We characterize their tissue expression patterns and find 1425 lncRNAs are co-expressed with coding genes, with enriched functional categories such as chloroplast organization, photosynthesis, RNA regulation, transcription, and root development. This improved transcription-guided annotation constitutes a valuable resource for studying lncRNAs and the biological processes they may regulate.

SUBMITTER: Corona-Gomez JA

PROVIDER: S-EPMC9388643 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Transcriptome-guided annotation and functional classification of long non-coding RNAs in Arabidopsis thaliana.

Corona-Gomez Jose Antonio JA Coss-Navarrete Evelia Lorena EL Garcia-Lopez Irving Jair IJ Klapproth Christopher C Pérez-Patiño Jaime Alejandro JA Fernandez-Valverde Selene L SL

Scientific reports 20220818 1

Long non-coding RNAs (lncRNAs) are a prominent class of eukaryotic regulatory genes. Despite the numerous available transcriptomic datasets, the annotation of plant lncRNAs remains based on dated annotations that have been historically carried over. We present a substantially improved annotation of Arabidopsis thaliana lncRNAs, generated by integrating 224 transcriptomes in multiple tissues, conditions, and developmental stages. We annotate 6764 lncRNA genes, including 3772 that are novel. We ch ...[more]

PMID: 35982083

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Project description:Organellar gene expression (OGE) is crucial for plant development, photosynthesis, and respiration, but our understanding of the mechanisms that control it is still relatively poor. Thus, OGE requires various nucleus-encoded proteins that promote transcription, splicing, trimming, and editing of organellar RNAs, and regulate translation. In metazoans, proteins of the mitochondrial Transcription tERmination Factor (mTERF) family interact with the mitochondrial chromosome and regulate transcriptional initiation and termination. Sequencing of the Arabidopsis thaliana genome led to the identification of a diversified MTERF gene family but, in contrast to mammalian mTERFs, knowledge about the function of these proteins in photosynthetic organisms is scarce. In this hypothesis article, I show that tandem duplications and one block duplication contributed to the large number of MTERF genes in A. thaliana, and propose that the expansion of the family is related to the evolution of land plants. The MTERF genes-especially the duplicated genes-display a number of distinct mRNA accumulation patterns, suggesting functional diversification of mTERF proteins to increase adaptability to environmental changes. Indeed, hypothetical functions for the different mTERF proteins can be predicted using co-expression analysis and gene ontology (GO) annotations. On this basis, mTERF proteins can be sorted into five groups. Members of the "chloroplast" and "chloroplast-associated" clusters are principally involved in chloroplast gene expression, embryogenesis, and protein catabolism, while representatives of the "mitochondrial" cluster seem to participate in DNA and RNA metabolism in that organelle. Moreover, members of the "mitochondrion-associated" cluster and the "low expression" group may act in the nucleus and/or the cytosol. As proteins involved in OGE and presumably nuclear gene expression (NGE), mTERFs are ideal candidates for the coordination of the expression of organelle and nuclear genomes.

Dataset Information

Transcriptome-guided annotation and functional classification of long non-coding RNAs in Arabidopsis thaliana.

Publications

Transcriptome-guided annotation and functional classification of long non-coding RNAs in Arabidopsis thaliana.

Similar Datasets

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