Long-read RNA sequencing can probe organelle genome pervasive transcription.

Brief Funct Genomics

Department of Biology, Western University, 1151 Richmond Street, London, Ontario N6A 5B7, Canada.

Published: December 2024

AI Article Synopsis

  • Scientists once thought that the DNA in organelles (like mitochondria) was simple and not interesting, but research has shown there is actually a lot of variety in their DNA structure and types.
  • Organelle genomes create many different types of RNA, but we still don’t know much about the noncoding RNAs, which are RNA that doesn't make proteins.
  • New research methods using advanced sequencing technology could help us learn more about organelle RNA and databases are needed to make this information easier to access and study.

Article Abstract

40 years ago, organelle genomes were assumed to be streamlined and, perhaps, unexciting remnants of their prokaryotic past. However, the field of organelle genomics has exposed an unparallel diversity in genome architecture (i.e. genome size, structure, and content). The transcription of these eccentric genomes can be just as elaborate - organelle genomes are pervasively transcribed into a plethora of RNA types. However, while organelle protein-coding genes are known to produce polycistronic transcripts that undergo heavy posttranscriptional processing, the nature of organelle noncoding transcriptomes is still poorly resolved. Here, we review how wet-lab experiments and second-generation sequencing data (i.e. short reads) have been useful to determine certain types of organelle RNAs, particularly noncoding RNAs. We then explain how third-generation (long-read) RNA-Seq data represent the new frontier in organelle transcriptomics. We show that public repositories (e.g. NCBI SRA) already contain enough data for inter-phyla comparative studies and argue that organelle biologists can benefit from such data. We discuss the prospects of using publicly available sequencing data for organelle-focused studies and examine the challenges of such an approach. We highlight that the lack of a comprehensive database dedicated to organelle genomics/transcriptomics is a major impediment to the development of a field with implications in basic and applied science.

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Source
http://dx.doi.org/10.1093/bfgp/elae026DOI Listing

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