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Updated: Feb 1, 2026

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
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Kernel size-related genes revealed by an integrated eQTL analysis during early maize kernel development.

Junling Pang1, Junjie Fu2, Na Zong1

  • 1Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.

The Plant Journal : for Cell and Molecular Biology
|December 15, 2018
PubMed
Summary

Researchers identified key genes controlling maize kernel development using genetic and gene expression data. A novel epi-eQTL associated with 53 genes, including those for zein storage proteins, may regulate kernel growth and improve grain yields.

Keywords:
Zea mays Lcomplex traitexpression quantitative trait locikernel developmentm6A RNA modification

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Area of Science:

  • Plant Biology
  • Genetics
  • Molecular Biology

Background:

  • Maize kernel traits are crucial for grain yield.
  • Gene expression patterns guide kernel development.
  • Understanding these processes can enhance crop yields.

Purpose of the Study:

  • To investigate the molecular genetic basis of maize kernel development.
  • To identify genes influencing kernel traits using quantitative genetics.
  • To explore the role of epi-transcriptomic regulation in kernel growth.

Main Methods:

  • Utilized phenotype, genotype, and transcriptomics data from maize kernels at 5 and 15 days after pollination.
  • Employed genome-wide association studies (GWAS).
  • Conducted expression quantitative trait loci (eQTL) and quantitative trait transcript (QTT) analyses.

Main Results:

  • Identified 137 putative kernel length-related genes at 5 DAP, with 43 in known QTL regions.
  • Discovered an epi-eQTL overlapping a maize homolog of Arabidopsis ECT2, associated with 53 genes.
  • Found that 10 zein storage protein genes and two known regulators (Opaque2, ZmICE1) are linked to this epi-eQTL.

Conclusions:

  • The study catalogs numerous eQTLs associated with maize kernel development.
  • An epi-eQTL may act as a master regulator of kernel development.
  • eQTL analysis enhances GWAS and QTT studies, providing insights into plant biology.