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.

Links