Integrated database for identifying candidate genes for Aspergillus flavus resistance in maize

Area of Science:

• Agricultural Science
• Plant Pathology
• Bioinformatics

Background:

• Aspergillus flavus causes aflatoxin contamination in maize, a potent carcinogen that reduces grain value.
• Enhancing maize resistance to A. flavus and aflatoxin is crucial for reducing crop losses.
• Previous genomic, proteomic, and genetic studies have generated extensive data on maize-fungus interactions.

Purpose of the Study:

• To develop a centralized resource for integrating diverse maize genetic and molecular data related to fungal resistance.
• To facilitate the identification of candidate genes conferring resistance to Aspergillus flavus and aflatoxin accumulation.
• To support association mapping and other downstream analyses for maize improvement.

Main Methods:

• Construction of a relational database (CFRAS-DB) using MySQL on a Linux server.
• Integration of gene expression, proteomic, QTL mapping, and sequence data from scientific literature.
• Development of a web interface using Apache and Perl CGI scripts for data querying and access.

Main Results:

• The Corn Fungal Resistance Associated Sequences Database (CFRAS-DB) was created, accessible at http://agbase.msstate.edu.
• The database integrates multiple lines of evidence, including microarray, proteomics, QTL, and SNP data.
• Researchers can query the database to assess gene roles in maize response to A. flavus.

Conclusions:

• CFRAS-DB is the first integrated resource for A. flavus and aflatoxin resistance data in maize.
• The web interface enables cross-dataset queries, supporting diverse research approaches.
• The database is publicly available to aid in the development of resistant maize varieties.