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Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria

Plant mitochondrial transcription is initiated from multiple promoters without an apparent motif, which precludes their identification in other species based on sequence comparisons. Even though coding regions take up only a small fraction of plant mitochondrial genomes, deep RNAseq studies uncovere...

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Autores principales: Garcia, Laura E., Sanchez-Puerta, M. Virginia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392254/
https://www.ncbi.nlm.nih.gov/pubmed/34440822
http://dx.doi.org/10.3390/cells10082054
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author Garcia, Laura E.
Sanchez-Puerta, M. Virginia
author_facet Garcia, Laura E.
Sanchez-Puerta, M. Virginia
author_sort Garcia, Laura E.
collection PubMed
description Plant mitochondrial transcription is initiated from multiple promoters without an apparent motif, which precludes their identification in other species based on sequence comparisons. Even though coding regions take up only a small fraction of plant mitochondrial genomes, deep RNAseq studies uncovered that these genomes are fully or nearly fully transcribed with significantly different RNA read depth across the genome. Transcriptomic analysis can be a powerful tool to understand the transcription process in diverse angiosperms, including the identification of potential promoters and co-transcribed genes or to study the efficiency of intron splicing. In this work, we analyzed the transcriptional landscape of the Arabidopsis mitochondrial genome (mtDNA) based on large-scale RNA sequencing data to evaluate the use of RNAseq to study those aspects of the transcription process. We found that about 98% of the Arabidopsis mtDNA is transcribed with highly different RNA read depth, which was elevated in known genes. The location of a sharp increase in RNA read depth upstream of genes matched the experimentally identified promoters. The continuously high RNA read depth across two adjacent genes agreed with the known co-transcribed units in Arabidopsis mitochondria. Most intron-containing genes showed a high splicing efficiency with no differences between cis and trans-spliced introns or between genes with distinct splicing mechanisms. Deep RNAseq analyses of diverse plant species will be valuable to recognize general and lineage-specific characteristics related to the mitochondrial transcription process.
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spelling pubmed-83922542021-08-28 Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria Garcia, Laura E. Sanchez-Puerta, M. Virginia Cells Article Plant mitochondrial transcription is initiated from multiple promoters without an apparent motif, which precludes their identification in other species based on sequence comparisons. Even though coding regions take up only a small fraction of plant mitochondrial genomes, deep RNAseq studies uncovered that these genomes are fully or nearly fully transcribed with significantly different RNA read depth across the genome. Transcriptomic analysis can be a powerful tool to understand the transcription process in diverse angiosperms, including the identification of potential promoters and co-transcribed genes or to study the efficiency of intron splicing. In this work, we analyzed the transcriptional landscape of the Arabidopsis mitochondrial genome (mtDNA) based on large-scale RNA sequencing data to evaluate the use of RNAseq to study those aspects of the transcription process. We found that about 98% of the Arabidopsis mtDNA is transcribed with highly different RNA read depth, which was elevated in known genes. The location of a sharp increase in RNA read depth upstream of genes matched the experimentally identified promoters. The continuously high RNA read depth across two adjacent genes agreed with the known co-transcribed units in Arabidopsis mitochondria. Most intron-containing genes showed a high splicing efficiency with no differences between cis and trans-spliced introns or between genes with distinct splicing mechanisms. Deep RNAseq analyses of diverse plant species will be valuable to recognize general and lineage-specific characteristics related to the mitochondrial transcription process. MDPI 2021-08-11 /pmc/articles/PMC8392254/ /pubmed/34440822 http://dx.doi.org/10.3390/cells10082054 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garcia, Laura E.
Sanchez-Puerta, M. Virginia
Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria
title Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria
title_full Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria
title_fullStr Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria
title_full_unstemmed Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria
title_short Transcriptional Landscape and Splicing Efficiency in Arabidopsis Mitochondria
title_sort transcriptional landscape and splicing efficiency in arabidopsis mitochondria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392254/
https://www.ncbi.nlm.nih.gov/pubmed/34440822
http://dx.doi.org/10.3390/cells10082054
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