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Related Experiment Video

Updated: Mar 30, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
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TENOR: Database for Comprehensive mRNA-Seq Experiments in Rice.

Yoshihiro Kawahara1, Youko Oono1, Hironobu Wakimoto2

  • 1Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki, 305-8602 Japan.

Plant & Cell Physiology
|November 19, 2015
PubMed
Summary
This summary is machine-generated.

The Transcriptome Encyclopedia Of Rice (TENOR) database offers extensive mRNA sequencing data for rice under various stress conditions. This resource aids in understanding plant adaptation and gene regulatory networks involved in environmental responses.

Keywords:
Abiotic stressDatabaseNext-generation sequencingPlant hormoneRicemRNA-Seq

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Area of Science:

  • Plant Biology
  • Genomics
  • Bioinformatics

Background:

  • Understanding plant adaptation to diverse environmental conditions is crucial in plant sciences.
  • Investigating gene regulatory networks is key to deciphering responses to environmental changes.

Purpose of the Study:

  • To create a comprehensive database (TENOR) of rice transcriptome data under various stress conditions.
  • To analyze gene expression patterns and regulatory networks in response to abiotic stresses and plant hormones.

Main Methods:

  • Utilized mRNA sequencing (mRNA-Seq) for time-course transcriptome analysis in rice (Oryza sativa L.).
  • Applied differential expression analysis to identify stress- and hormone-responsive genes.
  • Analyzed promoter regions for enriched cis-regulatory elements.

Main Results:

  • Identified numerous genes responsive to 10 abiotic stresses and 2 plant hormone treatments (ABA, jasmonic acid).
  • Detected transcription factors regulating stress response networks, noting non-uniform induction timing.
  • Found shared cis-regulatory elements in responsive genes across different conditions, suggesting common regulatory mechanisms.

Conclusions:

  • Key components of gene regulatory networks are likely shared across different stress signaling pathways in rice.
  • The TENOR database provides valuable resources including novel genes, expression profiles, and regulatory elements for further research.