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Long-read RNA-Seq for the discovery of long noncoding and antisense RNAs in plant organelles.

Matheus Sanitá LimaDouglas Silva DominguesAlexandre Rossi PaschoalDavid Roy Smith
Published in: Physiologia plantarum (2024)
Plant organelle transcription has been studied for decades. As techniques advanced, so did the fields of mitochondrial and plastid transcriptomics. The current view is that organelle genomes are pervasively transcribed, irrespective of their size, content, structure, and taxonomic origin. However, little is known about the nature of organelle noncoding transcriptomes, including pervasively transcribed noncoding RNAs (ncRNAs). Next-generation sequencing data have uncovered small ncRNAs in the organelles of plants and other organisms, but long ncRNAs remain poorly understood. Here, we argue that publicly available third-generation long-read RNA sequencing data from plants can provide a fine-tuned picture of long ncRNAs within organelles. Indeed, given their bloated architectures, plant mitochondrial genomes are well suited for studying pervasive transcription of ncRNAs. Ultimately, we hope to showcase this new avenue of plant research while also underlining the limitations of the proposed approach.
Keyphrases
  • single cell
  • rna seq
  • oxidative stress
  • high throughput
  • transcription factor
  • electronic health record
  • big data
  • air pollution
  • cell wall
  • artificial intelligence
  • deep learning