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Related Experiment Video

Updated: Jun 16, 2025

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

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Direct RNA sequencing in plants: Practical applications and future perspectives.

Xi-Tong Zhu1, Pablo Sanz-Jimenez2, Xiao-Tong Ning1

  • 1State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China.

Plant Communications
|August 19, 2024
PubMed
Summary

Direct RNA sequencing (DRS) precisely detects native plant transcripts, overcoming short-read RNA sequencing limitations. This review covers DRS advances in plant RNA metabolism and proposes a data processing workflow.

Keywords:
RNA modificationsdirect RNA sequencingfusion transcriptsnovel isoformspoly(A) tail

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Area of Science:

  • Plant biology
  • Genomics
  • Molecular biology

Background:

  • The plant transcriptome links genomic variation to phenotypic diversity.
  • RNA sequencing (RNA-seq) has revealed dynamic changes and regulation in plant transcriptomes.
  • Short-read RNA-seq has limitations like read length and PCR bias.

Purpose of the Study:

  • Review recent advances in plant transcriptome analysis using Direct RNA Sequencing (DRS).
  • Highlight DRS's capability to precisely detect native, full-length transcripts.
  • Propose a workflow for processing plant DRS data.

Main Methods:

  • Review of recent scientific literature on Direct RNA Sequencing (DRS) in plants.
  • Discussion of DRS applications in analyzing RNA metabolism.
  • Proposal of a comprehensive data processing workflow for plant DRS.

Main Results:

  • DRS overcomes limitations of short-read RNA-seq, enabling precise detection of native, full-length transcripts.
  • DRS advances understanding of plant RNA metabolism, including novel isoforms, poly(A) tails, and RNA modifications.
  • A comprehensive workflow for plant DRS data processing is proposed.

Conclusions:

  • DRS is a powerful tool for dissecting plant transcriptome complexity and diversity.
  • Future applications include allele-specific RNA modification analysis.
  • DRS sustainably refines our understanding of plant transcriptome biological functions.