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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....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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 |
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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 |
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