MBKbase rice

MBKbase rice integrates genomic, phenotypic, and other omics data to support molecular breeding and functional genomics research in rice.

Key Features:

• Comprehensive Data Integration: Consolidates germplasm information, multiple reference genomes, population sequencing data, phenotypic data, known alleles, and gene expression data and harmonizes them using a united set of gene loci.
• Population-level Genotype Search and Genotype–Phenotype Visualization: Provides genotype searches at the population level and visual representations of genotype–phenotype relationships.
• Comparative Genomics: Enables pairwise genotypic comparisons between samples and supports searching for target germplasms by genotype or phenotype.
• User-submitted Data Analysis: Analyzes user-submitted SNP and sequence data to identify important alleles within rice germplasm.

Scientific Applications:

• Trait Dissection: Investigate the genetic basis of agronomic traits such as drought tolerance and blast resistance using integrated genotype–phenotype data.
• Molecular Breeding Support: Inform selection decisions in breeding programs through comprehensive genotype–phenotype correlations across germplasm.
• Allele Discovery: Accelerate discovery of novel alleles that contribute to desirable traits in rice.

Methodology:

Integrates diverse omics datasets (germplasm, reference genomes, population sequencing, phenotypes, alleles, and gene expression) using a united set of gene loci and maintains the database through ongoing addition of reference genomes and phenotypic datasets.