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Updated: Jun 21, 2025

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
Long-read RNA-Seq for the discovery of long noncoding and antisense RNAs in plant organelles
Matheus Sanita Lima1, Douglas Silva Domingues2, Alexandre Rossi Paschoal3
1Department of Biology, Western University, London, ON, Canada.
Abstract:
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.
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