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Updated: Oct 23, 2025

Scalable Transfection of Maize Mesophyll Protoplasts

Scalable Transfection of Maize Mesophyll Protoplasts

Published on: June 23, 2023

A pan-genomic approach to genome databases using maize as a model system.

Margaret R Woodhouse¹, Ethalinda K Cannon², John L Portwood²

¹Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA. margaret.woodhouse@usda.gov.

BMC Plant Biology

|August 21, 2021

Summary

MaizeGDB now offers a pan-genomic approach, integrating diverse maize genomes and datasets. This framework helps researchers track genetic and functional differences across various maize varieties efficiently.

Keywords:

Browsers Databases Genomes Maize NAM founders Nomenclature Pan-genome

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Last Updated: Oct 23, 2025

Scalable Transfection of Maize Mesophyll Protoplasts

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Published on: June 23, 2023

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

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High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

Published on: June 16, 2018

Area of Science:

Genomics
Bioinformatics
Plant Science

Background:

A single reference genome is insufficient to capture the full diversity within a species.
Maize (Zea mays) exhibits significant genetic and structural variation.
Previous genomic databases often focused on a single reference, limiting comparative analyses.

Purpose of the Study:

To introduce a novel pan-genomic framework for hosting and integrating diverse maize genomic data.
To facilitate efficient data retrieval and comparative analysis across multiple maize genomes.
To provide a scalable template for other genomic databases managing large-scale pan-genomic datasets.

Main Methods:

Development of a pan-genomic data hosting infrastructure.
Integration of diverse datasets including gene models, expression, epigenome, and variation data.
Implementation of tools for cross-genome locus and ortholog tracking.

Main Results:

Established MaizeGDB as a central hub for pan-genomic maize data.
Enabled seamless connection between genomes, gene models, and various omics datasets.
Facilitated the tracking of structural and functional differences across maize genomes.

Conclusions:

The pan-genomic approach is essential for representing species diversity.
MaizeGDB's framework provides a unique and efficient solution for managing large-scale pan-genomic data.
This approach can serve as a model for other genomic databases.