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Long-read direct RNA sequencing of the mitochondrial transcriptome of Saccharomyces cerevisiae reveals condition-dependent intron abundance.
- Source :
-
Yeast (Chichester, England) [Yeast] 2024 Apr; Vol. 41 (4), pp. 256-278. Date of Electronic Publication: 2023 Aug 29. - Publication Year :
- 2024
-
Abstract
- Mitochondria fulfil many essential roles and have their own genome, which is expressed as polycistronic transcripts that undergo co- or posttranscriptional processing and splicing. Due to the inherent complexity and limited technical accessibility of the mitochondrial transcriptome, fundamental questions regarding mitochondrial gene expression and splicing remain unresolved, even in the model eukaryote Saccharomyces cerevisiae. Long-read sequencing could address these fundamental questions. Therefore, a method for the enrichment of mitochondrial RNA and sequencing using Nanopore technology was developed, enabling the resolution of splicing of polycistronic genes and the quantification of spliced RNA. This method successfully captured the full mitochondrial transcriptome and resolved RNA splicing patterns with single-base resolution and was applied to explore the transcriptome of S. cerevisiae grown with glucose or ethanol as the sole carbon source, revealing the impact of growth conditions on mitochondrial RNA expression and splicing. This study uncovered a remarkable difference in the turnover of Group II introns between yeast grown in either mostly fermentative or fully respiratory conditions. Whether this accumulation of introns in glucose medium has an impact on mitochondrial functions remains to be explored. Combined with the high tractability of the model yeast S. cerevisiae, the developed method enables to monitor mitochondrial transcriptome responses in a broad range of relevant contexts, including oxidative stress, apoptosis and mitochondrial diseases.<br /> (© 2023 The Authors. Yeast published by John Wiley & Sons Ltd.)
Details
- Language :
- English
- ISSN :
- 1097-0061
- Volume :
- 41
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Yeast (Chichester, England)
- Publication Type :
- Academic Journal
- Accession number :
- 37642136
- Full Text :
- https://doi.org/10.1002/yea.3893