MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice

Area of Science:

• Genomics
• Crop Science
• Bioinformatics

Background:

• Accumulation of large-scale genomic and phenotypic data in crop genetics.
• Challenges in integrating big data for genotype-phenotype relationship discovery in breeding.

Purpose of the Study:

• To introduce MBKbase-rice, an integrated omics knowledgebase for rice.
• To provide advanced web tools for genotype-phenotype analysis and germplasm discovery.

Main Methods:

• Integration of rice germplasm, multiple reference genomes, population sequencing, phenotypic, allele, and gene expression data.
• Development of advanced web tools for genotype searches, visualization, sample comparison, and SNP/sequence data analysis.

Main Results:

• MBKbase-rice provides a unified platform for diverse rice omics data.
• Includes tools for population-level genotype searches, genotype-phenotype visualization, and comparative genotype analysis.
• Enables analysis of user-submitted SNP/sequence data to identify important alleles.

Conclusions:

• MBKbase-rice facilitates research in crop functional genomics and molecular breeding.
• Expansion plans include soybean, wheat, and maize sub-databases.
• The integrated data and tools address the bottleneck in big data utilization for crop improvement.