FoPGDB
FoPGDB provides a pangenome resource for the Fusarium oxysporum species complex (FOSC) that enables integrative analysis of genetic diversity and pathogenicity-related sequences across 35 high-quality FOSC genomes.
Key Features:
- Pangenome content: Integrates 35 high-quality genomes from the Fusarium oxysporum species complex (FOSC).
- Analytical approaches: Supports both gene-based and graph-based approaches for examining the pangenome.
- Effector curation: Includes extensive curation of putative effector sequences relevant to FOSC pathogenicity.
- Gene search: Provides gene search capabilities across the integrated FOSC genomes.
- Genomic variant exploration: Enables exploration of genomic variants within the pangenome.
- Functional enrichment: Offers tools for functional enrichment analysis of gene sets and variant-associated genes.
Scientific Applications:
- Genetic diversity analysis: Comparative analysis of gene presence–absence and sequence variation across 35 FOSC genomes.
- Pathogenicity and host–pathogen interaction studies: Investigation of putative effectors to study mechanisms of virulence and host specificity.
- Evolutionary and ecological research: Examination of pangenome composition to infer evolutionary relationships and ecological adaptations within FOSC.
- Disease management research: Identification of candidate genes and variants that can inform strategies for managing plant and human fusarioses.
Methodology:
Gene-based and graph-based pangenome analyses, curation of putative effector sequences, gene search, genomic variant exploration, and functional enrichment analysis.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Mac, Windows
- Added:
- 6/19/2024
- Last Updated:
- 6/19/2024
Operations
Data Inputs & Outputs
Database search
Outputs
Publications
Meng T, Jiao H, Zhang Y, Zhou Y, Chen S, Wang X, Yang B, Sun J, Geng X, Ayhan DH, Guo L. FoPGDB: a pangenome database of <i>Fusarium oxysporum</i>, a cross-kingdom fungal pathogen. Database. 2024;2024. doi:10.1093/database/baae017. PMID:38537199. PMCID:PMC10972551.