Coriander Genomics Database

Coriander Genomics Database provides an integrated repository and analytical resource for genomic, transcriptomic, metabolic, functional annotation, and repeat sequence data of coriander (Coriandrum sativum L.) and carrot to support comparative and evolutionary studies within the Apiaceae.

Key Features:

• Comprehensive Data Integration: Consolidates genomic, transcriptomic (RNA-seq), metabolic, functional annotation, and repeat sequence data for coriander and carrot.
• Comparative Genomics and Transcription Factor Analysis: Documents genome-wide differences between coriander and carrot, reporting seven transcription factor (TF) families expanded in coriander and a MADS TF family ratio of 3.15 for coriander versus carrot, with notable differences in tubby protein (TUB) and heat shock factor families.
• Systematic Gene Family Analysis: Enables identification and characterization of gene families, exemplified by the identification of 17 TUB family genes in coriander.
• RNA-seq Expression Insights: Includes RNA-seq data indicating dose compensation effects in coriander gene expression.
• Analytical Tools for Sequence and Genomic Context: Incorporates BLAST searches, genome browser analyses, significance searches, gene collinearity comparisons, and metabolome-linked genomic comparisons.

Scientific Applications:

• Apiaceae comparative genomics: Facilitates cross-species genomic comparisons between coriander, carrot, and related Apiaceae to study lineage-specific genomic features.
• Evolutionary biology: Supports investigation of genome evolution, including TF family expansion and differential family sizes between species.
• Gene function and expression regulation: Enables linking of gene family composition and RNA-seq–derived expression patterns, including dose compensation phenomena.
• Genotype-to-phenotype analysis: Integrates genomic, gene expression, and metabolome data to identify genetic factors underlying phenotypic traits in coriander and carrot.

Methodology:

Uses genomic and transcriptomic (RNA-seq) data, BLAST searches, genome browser analyses, comparative and evolutionary analyses, gene family identification (e.g., TUB family), gene collinearity analysis, functional annotation, and repeat sequence annotation.