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Related Experiment Video

Updated: Feb 24, 2026

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
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iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize.

Long Zhang1, Yongbin Dong2, Qilei Wang3

  • 1College of Agronomy, Henan Agricultural University, Collaborative Innovation Center of Henan Grain Crops, National Key Laboratory of Wheat and Maize Crop Science, 63 Nongye Rd., Zhengzhou 450002, China. swgczl@163.com.

International Journal of Molecular Sciences
|August 25, 2017
PubMed
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This summary is machine-generated.

This study reveals key protein dynamics during maize grain development. Understanding these protein accumulations in the endosperm and pericarp is crucial for improving maize yield.

Area of Science:

  • Plant biology
  • Proteomics
  • Maize genetics

Background:

  • Grain weight is a critical yield component in maize (Zea mays L.).
  • The coordinated protein accumulation during maize grain development, particularly in the endosperm and pericarp, is poorly understood.
  • Understanding these processes is vital for enhancing maize yield and agricultural productivity.

Purpose of the Study:

  • To investigate the dynamic proteomic changes in maize endosperm and pericarp during grain development.
  • To identify specific proteins and pathways involved in the development of these grain compartments.
  • To explore the relationship between mRNA and protein abundance in maize grain.

Main Methods:

  • Utilized isobaric tags for relative and absolute quantitation (iTRAQ)-based comparative proteomics.
Keywords:
Zea maysiTRAQkernel developmentprotein network integrationquantitative proteomics

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  • Analyzed protein expression profiles across four developmental stages in both endosperm and pericarp.
  • Performed functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis on identified proteins.

    • Main Results:

    • Identified a total of 9539 proteins, with 1401 non-redundant proteins, 232 specific to pericarp, and 153 specific to endosperm.
    • Functional annotation highlighted the importance of metabolic, cellular, binding, and catalytic processes in tissue development.
    • Integrated specific proteins into KEGG pathways, revealing complex metabolic interactions, and observed varying concordance between mRNA and protein levels.

    Conclusions:

    • The study provides a comprehensive proteomic landscape of maize grain development.
    • Identified key proteins and pathways essential for endosperm and pericarp development.
    • Offers valuable insights for understanding maize grain development mechanisms and potentially improving crop yield.