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Related Experiment Video

Updated: Jul 18, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Global transcript analysis of rice leaf and seed using SAGE technology.

J George Gibbings¹, Brian P Cook, Michael R Dufault

¹BioCentre, School of Plant Sciences, The University of Reading, Reading RG6 6AS, UK.

Plant Biotechnology Journal

|December 14, 2006

Summary

This study analyzed rice gene expression using Serial Analysis of Gene Expression (SAGE) technology, revealing unique transcript patterns in leaf and seed tissues. Findings include abundant metallothionein and storage protein transcripts, and novel antisense transcripts suggesting new gene regulation mechanisms.

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Area of Science:

Plant Molecular Biology
Genomics
Biotechnology

Background:

Understanding gene expression patterns is crucial for crop improvement.
Rice (Oryza sativa) is a globally significant staple crop.

Purpose of the Study:

To generate and analyze comprehensive gene expression profiles of rice leaf and seed tissues.
To identify abundant, low-abundant, and constitutively expressed transcripts.
To investigate novel findings such as antisense transcripts in rice.

Main Methods:

Serial Analysis of Gene Expression (SAGE) technology was employed.
Two SAGE libraries were constructed from mature leaf and immature seed tissues of rice (Oryza sativa ssp. japonica cv. Nipponbare).
SAGE tags were analyzed to determine transcript abundance and identify unique transcripts.

Main Results:

A total of 50,519 SAGE tags representing 15,131 unique transcripts were identified.
Leaf tissue showed an unexpectedly abundant type 3 metallothionein transcript.
Seed tissue exhibited a distinct expression pattern with overabundant storage protein transcripts.
A significant number of tags corresponded to antisense transcripts, suggesting a novel gene regulation mechanism.

Conclusions:

Rice gene expression differs significantly between leaf and seed tissues, with seed tissue showing a specialized pattern.
The discovery of abundant antisense transcripts in rice opens new avenues for understanding gene regulation and potential applications in transgenic technology.
Constitutively expressed low-abundant transcripts were identified, providing insights into basic rice gene expression.