FoEC2
FoEC2 identifies and analyzes putative effector proteins in Fusarium oxysporum genomes to classify strains into formae speciales by leveraging presence/absence variation and hierarchical clustering of predicted effector sequences.
Key Features:
- Effector identification and clustering: Identifies putative effectors across Fusarium oxysporum genome assemblies and classifies strains into formae speciales using presence/absence variation and hierarchical clustering of predicted effector sequences.
- Parallelization: Supports multithreading to scale analyses across large genome datasets.
- Snakemake pipeline: Implemented as a Snakemake workflow to manage reproducible bioinformatics analyses.
- Subtype delineation: Detects and delineates subtypes within formae speciales based on differences in effector repertoires.
- Scalability: Capable of analyzing hundreds of genomes, demonstrated on 537 publicly available Fusarium oxysporum genomes.
Scientific Applications:
- Formae speciales classification: Classifies F. oxysporum isolates into formae speciales based on effector presence/absence profiles and clustering.
- Pathogenicity and host-range studies: Supports investigation of effector repertoires relevant to fungal pathogenicity mechanisms and host specificity.
- Population genomics and subtype analysis: Enables delineation of genetic subtypes within formae speciales using effector-based comparisons.
- Crop protection research: Provides effector repertoire data to inform studies of host–pathogen interactions relevant to crop protection strategies.
Methodology:
Hierarchical clustering of predicted effector sequences derived from genome assemblies using presence/absence variation, implemented as a Snakemake pipeline.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Programming Languages:
- Python, R
- Added:
- 1/28/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Brenes Guallar MA, Fokkens L, Rep M, Berke L, van Dam P. Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range. Frontiers in Plant Science. 2022;13. doi:10.3389/fpls.2022.1012688. PMID:36340405. PMCID:PMC9627151.