CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons.

Area of Science:

• Agricultural Science
• Genomics
• Bioinformatics

Background:

• Cultivated cotton is a vital economic crop, producing natural fiber for textiles.
• Understanding the genetic basis of cotton traits is crucial for crop improvement.
• Existing public resequencing data lacks a unified platform for variation and GWAS analysis.

Purpose of the Study:

• To develop a comprehensive database, CottonGVD, for cotton genomic variations and GWAS results.
• To provide researchers with efficient tools for data retrieval, browsing, and querying.
• To facilitate the visualization of phenotype-associated loci and identification of candidate genes.

Main Methods:

• Construction of the Cotton Genomic Variation Database (CottonGVD).
• Inclusion of published genomic information for three cultivated cotton species.
• Integration of population variations (SNP and InDel markers) and visualized GWAS results.
• Development of built-in genomic tools for data access and interactive visualization (Manhattan plots, heatmaps, etc.).

Main Results:

• CottonGVD provides access to genomic variations and GWAS results for major cotton traits.
• The database includes SNP and InDel markers across three cultivated cotton species.
• Interactive visualization tools enable phenotype-associated loci screening and candidate gene identification.

Conclusions:

• CottonGVD serves as a valuable resource for cotton researchers.
• The database enhances the efficient utilization of genomic variation and GWAS data.
• Future updates will expand data and functionality for broader research applications.