GRAND: An Integrated Genome, Transcriptome Resources, and Gene Network Database for Gossypium

Area of Science:

• Plant Genomics
• Bioinformatics
• Agricultural Science

Background:

• The rapid expansion of cotton omics data presents challenges for breeders seeking actionable insights.
• Efficiently utilizing vast genomic and transcriptomic datasets is crucial for modern cotton breeding programs.

Purpose of the Study:

• To develop a comprehensive database, the Gossypium Resource And Network Database (GRAND), for integrating and analyzing diverse cotton genetic information.
• To provide researchers with a powerful bioinformatics toolbox for exploring cotton genetic resources and accelerating breeding efforts.

Main Methods:

• Integration of 18 Gossypium genome sequences, genome annotations, and variation data.
• Inclusion of transcriptomic data for multiple Gossypium species.
• Development of a toolbox featuring search systems, BLAST/BLAT, ortholog identification, co-expression networks, primer design, and genome browsers (GBrowse, Jbrowse).

Main Results:

• The GRAND database successfully integrates extensive cotton genomic and transcriptomic data.
• The integrated toolbox enables flexible data exploration, including gene identification, network analysis, and primer design.
• GRAND provides a centralized platform for Gossypium genetic resources.

Conclusions:

• GRAND offers a valuable resource for cotton researchers and breeders.
• The database and its tools are expected to significantly accelerate the development of improved cotton varieties.