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Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
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Transcriptome analysis of grain development in hexaploid wheat.

Yongfang Wan1, Rebecca L Poole, Alison K Huttly

  • 1Rothamsted Research, Harpenden, Hertfordshire, UK. yongfang.wan@bbsrc.ac.uk

BMC Genomics
|March 8, 2008
PubMed
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This study maps the wheat grain transcriptome, revealing distinct developmental phases and environmental impacts on gene expression. This data aids in understanding wheat development and improving crop traits.

Area of Science:

  • Plant Biology
  • Molecular Genetics
  • Agricultural Science

Background:

  • Hexaploid wheat (Triticum aestivum) is a crucial global food source.
  • Understanding grain development is key to enhancing yield and quality traits.
  • High-resolution transcriptomics offers powerful insights into plant biology.

Purpose of the Study:

  • To comprehensively analyze the transcriptome of developing wheat caryopses.
  • To identify gene expression patterns during distinct developmental stages.
  • To investigate the effects of environmental stress on wheat gene expression.

Main Methods:

  • Utilized Affymetrix wheat GeneChip oligonucleotide arrays for transcriptome profiling.
  • Analyzed transcript abundance in developing caryopses from 6 to 42 days after anthesis (daa).

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  • Confirmed key gene expression profiles using real-time RT-PCR.
  • Main Results:

    • Identified 14,550 differentially regulated transcripts during wheat grain development.
    • Characterized distinct transcriptomic phases: differentiation (6-10 daa), grain fill (12-21 daa), and desiccation/maturation (28-42 daa).
    • Showed environmental stresses primarily accelerate development, with some specific transcript responses.

    Conclusions:

    • The generated transcriptome data serves as a valuable resource for wheat molecular research.
    • The study successfully differentiates developmental gene expression shifts from specific environmental treatment effects.
    • Expression profiles provide insights into the tissue specificity and function of wheat transcription factors.