Cargando…

In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae

Fungi are renowned producers of natural compounds, also known as secondary metabolites (SMs) that display a wide array of biological activities. Typically, the genes that are involved in the biosynthesis of SMs are located in close proximity to each other in so-called secondary metabolite clusters....

Descripción completa

Detalles Bibliográficos
Autores principales: Shi-Kunne, Xiaoqian, Jové, Roger de Pedro, Depotter, Jasper R L, Ebert, Malaika K, Seidl, Michael F, Thomma, Bart P H J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502550/
https://www.ncbi.nlm.nih.gov/pubmed/31004487
http://dx.doi.org/10.1093/femsle/fnz081
_version_ 1783416269317341184
author Shi-Kunne, Xiaoqian
Jové, Roger de Pedro
Depotter, Jasper R L
Ebert, Malaika K
Seidl, Michael F
Thomma, Bart P H J
author_facet Shi-Kunne, Xiaoqian
Jové, Roger de Pedro
Depotter, Jasper R L
Ebert, Malaika K
Seidl, Michael F
Thomma, Bart P H J
author_sort Shi-Kunne, Xiaoqian
collection PubMed
description Fungi are renowned producers of natural compounds, also known as secondary metabolites (SMs) that display a wide array of biological activities. Typically, the genes that are involved in the biosynthesis of SMs are located in close proximity to each other in so-called secondary metabolite clusters. Many plant-pathogenic fungi secrete SMs during infection in order to promote disease establishment, for instance as cytocoxic compounds. Verticillium dahliae is a notorious plant pathogen that can infect over 200 host plants worldwide. However, the SM repertoire of this vascular pathogen remains mostly uncharted. To unravel the potential of V. dahliae to produce SMs, we performed in silico predictions and in-depth analyses of its secondary metabolite clusters. Using distinctive traits of gene clusters and the conserved signatures of core genes 25 potential SM gene clusters were identified. Subsequently, phylogenetic and comparative genomics analyses were performed, revealing that two putative siderophores, ferricrocin and TAFC, DHN-melanin and fujikurin may belong to the SM repertoire of V. dahliae.
format Online
Article
Text
id pubmed-6502550
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-65025502019-05-09 In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae Shi-Kunne, Xiaoqian Jové, Roger de Pedro Depotter, Jasper R L Ebert, Malaika K Seidl, Michael F Thomma, Bart P H J FEMS Microbiol Lett Research Letter Fungi are renowned producers of natural compounds, also known as secondary metabolites (SMs) that display a wide array of biological activities. Typically, the genes that are involved in the biosynthesis of SMs are located in close proximity to each other in so-called secondary metabolite clusters. Many plant-pathogenic fungi secrete SMs during infection in order to promote disease establishment, for instance as cytocoxic compounds. Verticillium dahliae is a notorious plant pathogen that can infect over 200 host plants worldwide. However, the SM repertoire of this vascular pathogen remains mostly uncharted. To unravel the potential of V. dahliae to produce SMs, we performed in silico predictions and in-depth analyses of its secondary metabolite clusters. Using distinctive traits of gene clusters and the conserved signatures of core genes 25 potential SM gene clusters were identified. Subsequently, phylogenetic and comparative genomics analyses were performed, revealing that two putative siderophores, ferricrocin and TAFC, DHN-melanin and fujikurin may belong to the SM repertoire of V. dahliae. Oxford University Press 2019-04-20 /pmc/articles/PMC6502550/ /pubmed/31004487 http://dx.doi.org/10.1093/femsle/fnz081 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of FEMS. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Letter
Shi-Kunne, Xiaoqian
Jové, Roger de Pedro
Depotter, Jasper R L
Ebert, Malaika K
Seidl, Michael F
Thomma, Bart P H J
In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae
title In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae
title_full In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae
title_fullStr In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae
title_full_unstemmed In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae
title_short In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae
title_sort in silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus verticillium dahliae
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502550/
https://www.ncbi.nlm.nih.gov/pubmed/31004487
http://dx.doi.org/10.1093/femsle/fnz081
work_keys_str_mv AT shikunnexiaoqian insilicopredictionandcharacterisationofsecondarymetaboliteclustersintheplantpathogenicfungusverticilliumdahliae
AT joverogerdepedro insilicopredictionandcharacterisationofsecondarymetaboliteclustersintheplantpathogenicfungusverticilliumdahliae
AT depotterjasperrl insilicopredictionandcharacterisationofsecondarymetaboliteclustersintheplantpathogenicfungusverticilliumdahliae
AT ebertmalaikak insilicopredictionandcharacterisationofsecondarymetaboliteclustersintheplantpathogenicfungusverticilliumdahliae
AT seidlmichaelf insilicopredictionandcharacterisationofsecondarymetaboliteclustersintheplantpathogenicfungusverticilliumdahliae
AT thommabartphj insilicopredictionandcharacterisationofsecondarymetaboliteclustersintheplantpathogenicfungusverticilliumdahliae