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Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range

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-experiment...

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Autores principales: Brenes Guallar, Megan A., Fokkens, Like, Rep, Martijn, Berke, Lidija, van Dam, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627151/
https://www.ncbi.nlm.nih.gov/pubmed/36340405
http://dx.doi.org/10.3389/fpls.2022.1012688
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author Brenes Guallar, Megan A.
Fokkens, Like
Rep, Martijn
Berke, Lidija
van Dam, Peter
author_facet Brenes Guallar, Megan A.
Fokkens, Like
Rep, Martijn
Berke, Lidija
van Dam, Peter
author_sort Brenes Guallar, Megan A.
collection PubMed
description 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.
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spelling pubmed-96271512022-11-03 Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range Brenes Guallar, Megan A. Fokkens, Like Rep, Martijn Berke, Lidija van Dam, Peter Front Plant Sci Plant Science 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. Frontiers Media S.A. 2022-10-19 /pmc/articles/PMC9627151/ /pubmed/36340405 http://dx.doi.org/10.3389/fpls.2022.1012688 Text en Copyright © 2022 Brenes Guallar, Fokkens, Rep, Berke and van Dam https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Brenes Guallar, Megan A.
Fokkens, Like
Rep, Martijn
Berke, Lidija
van Dam, Peter
Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range
title Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range
title_full Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range
title_fullStr Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range
title_full_unstemmed Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range
title_short Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range
title_sort fusarium oxysporum effector clustering version 2: an updated pipeline to infer host range
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627151/
https://www.ncbi.nlm.nih.gov/pubmed/36340405
http://dx.doi.org/10.3389/fpls.2022.1012688
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