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Updated: Dec 20, 2025

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Published on: March 13, 2020

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Metabolomics analysis reveals differences in evolution between maize and rice.

Min Deng1,2, Xuehai Zhang3, Jingyun Luo2

  • 1College of Agronomy, Hunan Agricultural University, Changsha, Hunan, 410128, China.

The Plant Journal : for Cell and Molecular Biology
|May 24, 2020
PubMed
Summary
This summary is machine-generated.

Plant evolution shapes metabolic variation, with flavonoids driving divergence between maize and rice. Metabolomics reveals distinct evolutionary patterns and interactions in these crops, aiding in understanding their differentiation.

Keywords:
adaptationevolutionmaizemetabolomicsrice

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Area of Science:

  • Plant metabolomics
  • Evolutionary biology
  • Comparative genomics

Background:

  • Metabolites are crucial for plant growth, adaptation, and evolution.
  • Understanding the evolutionary basis of metabolic variation in plants is essential.
  • Maize and rice are important model organisms for studying plant evolution.

Purpose of the Study:

  • To investigate the role of evolution in metabolic variation in maize and rice.
  • To compare metabolomic data between leaf and seed tissues in maize and rice.
  • To identify key metabolic pathways and interactions contributing to interspecific differentiation.

Main Methods:

  • Comparative metabolomics analysis of leaf and seed tissues from maize and rice accessions.
  • Principal component analysis (PCA) to visualize metabolic data separation.
  • Analysis of metabolic categories, correlations, and interactions.

Main Results:

  • Leaf metabolomics clearly separated rice subspecies (Indica/Japonica), while maize subgroups (temperate/tropical) showed admixture.
  • Significant interspecific differences in seed metabolic variation were observed between rice and maize.
  • Flavonoids exhibited higher variation in maize, indicating their role in interspecific divergence.
  • Metabolic regulation shifted from positive to negative correlations, reflecting differential evolutionary processes.
  • Rice displayed more metabolic interactions than maize, with leaf tissues showing higher interaction intensity than seeds.

Conclusions:

  • Plant metabolomes can serve as valuable markers for tracking evolutionary history.
  • Metabolomics complements genomic insights into interspecific differentiation in maize and rice.
  • Evolutionary processes have distinct impacts on metabolic regulation and interactions in these crops.