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Updated: Aug 22, 2025

A Contrast of Three Inoculation Techniques used to Determine the Race of Unknown Fusarium oxysporum f.sp. niveum Isolates
Published on: October 28, 2021
Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range
Megan A Brenes Guallar1, Like Fokkens2,3, Martijn Rep3
1Bioinformatics and Software Development Team, Genetwister Technologies B.V., Wageningen, Netherlands.
Abstract:
The fungus Fusarium oxysporum is infamous for its devastating effects on economically important crops worldwide. F. oxysporum isolates are grouped into formae speciales based on their ability to cause disease on different hosts. Assigning F. oxysporum strains to formae speciales using non-experimental procedures has proven to be challenging due to their genetic heterogeneity and polyphyletic nature. However, genetically diverse isolates of the same forma specialis encode similar repertoires of effectors, proteins that are secreted by the fungus and contribute to the establishment of compatibility with the host. Based on this observation, we previously designed the F. oxysporum Effector Clustering (FoEC) pipeline which is able to classify F. oxysporum strains by forma specialis based on hierarchical clustering of the presence of predicted putative effector sequences, solely using genome assemblies as input. Here we present the updated FoEC2 pipeline which is more user friendly, customizable and, due to multithreading, has improved scalability. It is designed as a Snakemake pipeline and incorporates a new interactive visualization app. We showcase FoEC2 by clustering 537 publicly available F. oxysporum genomes and further analysis of putative effector families as multiple sequence alignments. We confirm classification of isolates into formae speciales and are able to further identify their subtypes. The pipeline is available on github: https://github.com/pvdam3/FoEC2.
Insights
The updated FoEC2 pipeline accurately classifies Fusarium oxysporum strains into formae speciales using effector gene content from genome assemblies. This tool aids in understanding fungal pathogen diversity and host specificity.
Area of Science:
- Plant Pathology
- Computational Biology
- Mycology
Background:
- Fusarium oxysporum causes significant crop losses globally.
- Classifying F. oxysporum strains into formae speciales is challenging due to genetic diversity.
- Effectors secreted by F. oxysporum are conserved within formae speciales.
Purpose of the Study:
- To present the updated FoEC2 pipeline for classifying F. oxysporum strains.
- To improve user-friendliness, customizability, and scalability of the classification process.
- To enable subtype identification within formae speciales.
Main Methods:
- Utilized the Snakemake workflow management system.
- Incorporated a new interactive visualization application.
- Applied hierarchical clustering of predicted putative effector sequences from genome assemblies.
Main Results:
- Successfully clustered 537 publicly available F. oxysporum genomes.
- Confirmed accurate classification of isolates into formae speciales.
- Identified fungal pathogen subtypes based on effector families.
Conclusions:
- The FoEC2 pipeline provides a robust and scalable method for F. oxysporum strain classification.
- This tool aids in understanding the genetic basis of host specificity in F. oxysporum.
- The pipeline facilitates research into fungal pathogen evolution and management strategies.

