Plant Resistance Genes database (prgdb)

Plant Resistance Genes database (prgdb) catalogs known and putative plant resistance (R) genes across species to support identification, classification, and comparative analysis of plant disease resistance mechanisms.

Key Features:

• Extensive Gene Collection: Contains over 16,000 R-genes derived from 192 plant species challenged by 115 pathogens, including 73 reference R-genes, 6,308 putative R-genes from NCBI, and 10,463 computationally predicted putative R-genes.
• Prediction Pipeline (DRAGO): Disease Resistance Analysis and Gene Orthology (DRAGO) leverages reference R-gene sequence data to identify plant resistance genes in public datasets such as Unigene and GenBank and to detect putative R-gene classes with novel domain combinations.
• Integration and Expansion: Database structure is designed to allow integration of additional data types and facilitate future dataset expansion.

Scientific Applications:

• R-gene discovery and classification: Supports identification and characterization of known and novel putative R-gene classes, including those with previously unknown domain combinations.
• Comparative genomics: Enables comparative analysis of R-gene repertoires across 192 plant species and their associations with 115 pathogens.
• Plant-pathogen interaction studies: Facilitates investigation of genetic bases of disease resistance by linking genomic R-gene data with phenotypic information.

Methodology:

Curated 73 reference R-genes, retrieved 6,308 putative R-genes from NCBI, computationally predicted 10,463 putative R-genes, and applied the DRAGO pipeline using reference sequences to search Unigene and GenBank and identify R-genes and novel domain combinations.