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Related Experiment Video

Updated: Aug 15, 2025

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Published on: September 22, 2023

A multi-omics integrative network map of maize.

Linqian Han^1,2, Wanshun Zhong^1,2, Jia Qian^1,2

¹National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.

Nature Genetics

|December 29, 2022

Summary

This summary is machine-generated.

Researchers created a comprehensive maize multi-omics network map to understand gene function and identify flowering time regulators. This map reveals extensive network divergence and uncovers new genes and pathways involved in maize development.

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Published on: March 28, 2025

Area of Science:

Systems Biology
Genomics
Plant Science

Background:

Gene networks are crucial for understanding gene function in phenotypic variation.
Maize (Zea mays) genetics and development offer a complex system for network analysis.

Purpose of the Study:

To construct an integrated multi-omics network map of maize across its developmental stages.
To identify novel genes and pathways regulating flowering time in maize using the network map.
To explore the functional divergence of duplicated genes within the maize genome.

Main Methods:

Integration of genomic, transcriptomic, translatomic, and proteomic data to build a maize network map.
Analysis of over 2.8 million network edges and 1,400 functional subnetworks.
Application of the network map to identify genes associated with flowering time and experimental validation.

Main Results:

Construction of an extensive maize multi-omics network map revealing significant network divergence in duplicated genes.
Identification of 2,651 genes enriched in eight subnetworks related to flowering time.
Validation of 20 genes, including 18 novel flowering time regulators in maize.
Discovery of a novel flowering pathway involving histone modification.

Conclusions:

The maize multi-omics network map provides a genome-wide functional landscape, illustrating how molecular networks connect genes and pathways.
This integrative approach enhances our understanding of gene function, developmental processes, and evolutionary dynamics in maize.
The developed network map framework is potentially applicable to a wide range of other species for similar functional genomics studies.