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Related Experiment Video

Updated: May 18, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

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

Published on: May 21, 2020

Comparative transcriptome profiling in winter wheat grown under different agricultural practices.

Gabriela N Tenea1, Fernando Cordeiro Raposo, Alain Maquet

  • 1European Commission, DG Joint Research Centre (JRC), Institute for Reference Materials and Measurements (IRMM), Retieseweg 111, 2440 Geel, Belgium.

Journal of Agricultural and Food Chemistry
|October 9, 2012
PubMed
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This study analyzed wheat gene expression to differentiate organic and conventional farming. Transcriptome profiling revealed distinct expression patterns, offering a method to verify organic wheat authenticity.

Area of Science:

  • Agricultural Science
  • Molecular Biology
  • Food Authenticity

Background:

  • Wheat (Triticum aestivum L.) is a major global cereal crop, especially in Europe, valued as an organic commodity.
  • The growing organic food market faces challenges with authenticity, making accurate labeling crucial to prevent fraud.
  • Distinguishing between organic and conventional agricultural systems is vital for consumer trust and regulatory oversight.

Purpose of the Study:

  • To investigate transcriptome differences in wheat grown under organic versus conventional systems.
  • To identify molecular markers for verifying the agricultural production system of wheat.
  • To assess the feasibility of using gene expression profiling for analytical verification of organic wheat.

Main Methods:

  • Comparative transcriptome profiling using microarray analysis on winter wheat flag leaves.

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An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis
06:31

An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis

Published on: January 11, 2017

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Last Updated: May 18, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

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

Published on: May 21, 2020

An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis
06:31

An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis

Published on: January 11, 2017

  • Identification of differentially expressed transcripts between organic and conventional conditions.
  • Validation of transcript abundance using quantitative reverse-transcription PCR (qRT-PCR) across multiple cultivars and sites.

    • Main Results:

    • Ten differentially expressed transcripts were identified in 'Tommi' and 'Centenaire' cultivars under different agricultural systems.
    • Transcript abundance profiles confirmed these differences across 'Tommi', 'Centenaire', and 'Cubus' cultivars.
    • Statistical analysis demonstrated that the global wheat transcriptome is significantly influenced by the agricultural system.

    Conclusions:

    • Wheat gene expression patterns can be used to differentiate between organic and conventional farming practices.
    • Transcriptome profiling provides a promising analytical approach for verifying wheat production systems at the farm level.
    • This method supports the authenticity and integrity of organic wheat as a food commodity.