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Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens
BACKGROUND: Genomic studies demonstrate that components of virulence mechanisms in filamentous eukaryotic pathogens (FEPs, fungi and oomycetes) of plants are often highly conserved, or found in gene families that include secreted hydrolytic enzymes (e.g., cellulases and proteases) and secondary meta...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933724/ https://www.ncbi.nlm.nih.gov/pubmed/31878885 http://dx.doi.org/10.1186/s12864-019-6409-3 |
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author | Pandaranayaka, Eswari PJ Frenkel, Omer Elad, Yigal Prusky, Dov Harel, Arye |
author_facet | Pandaranayaka, Eswari PJ Frenkel, Omer Elad, Yigal Prusky, Dov Harel, Arye |
author_sort | Pandaranayaka, Eswari PJ |
collection | PubMed |
description | BACKGROUND: Genomic studies demonstrate that components of virulence mechanisms in filamentous eukaryotic pathogens (FEPs, fungi and oomycetes) of plants are often highly conserved, or found in gene families that include secreted hydrolytic enzymes (e.g., cellulases and proteases) and secondary metabolites (e.g., toxins), central to the pathogenicity process. However, very few large-scale genomic comparisons have utilized complete proteomes from dozens of FEPs to reveal lifestyle-associated virulence mechanisms. Providing a powerful means for exploration, and the discovery of trends in large-scale datasets, network analysis has been used to identify core functions of the primordial cyanobacteria, and ancient evolutionary signatures in oxidoreductases. RESULTS: We used a sequence-similarity network to study components of virulence mechanisms of major pathogenic lifestyles (necrotroph (ic), N; biotroph (ic), B; hemibiotroph (ic), H) in complete pan-proteomes of 65 FEPs and 17 saprobes. Our comparative analysis highlights approximately 190 core functions found in 70% of the genomes of these pathogenic lifestyles. Core functions were found mainly in: transport (in H, N, B cores); carbohydrate metabolism, secondary metabolite synthesis, and protease (H and N cores); nucleic acid metabolism and signal transduction (B core); and amino acid metabolism (H core). Taken together, the necrotrophic core contains functions such as cell wall-associated degrading enzymes, toxin metabolism, and transport, which are likely to support their lifestyle of killing prior to feeding. The biotrophic stealth growth on living tissues is potentially controlled by a core of regulatory functions, such as: small G-protein family of GTPases, RNA modification, and cryptochrome-based light sensing. Regulatory mechanisms found in the hemibiotrophic core contain light- and CO(2)-sensing functions that could mediate important roles of this group, such as transition between lifestyles. CONCLUSIONS: The selected set of enriched core functions identified in our work can facilitate future studies aimed at controlling FEPs. One interesting example would be to facilitate the identification of the pathogenic potential of samples analyzed by metagenomics. Finally, our analysis offers potential evolutionary scenarios, suggesting that an early-branching saprobe (identified in previous studies) has probably evolved a necrotrophic lifestyle as illustrated by the highest number of shared gene families between saprobes and necrotrophs. |
format | Online Article Text |
id | pubmed-6933724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69337242019-12-30 Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens Pandaranayaka, Eswari PJ Frenkel, Omer Elad, Yigal Prusky, Dov Harel, Arye BMC Genomics Research Article BACKGROUND: Genomic studies demonstrate that components of virulence mechanisms in filamentous eukaryotic pathogens (FEPs, fungi and oomycetes) of plants are often highly conserved, or found in gene families that include secreted hydrolytic enzymes (e.g., cellulases and proteases) and secondary metabolites (e.g., toxins), central to the pathogenicity process. However, very few large-scale genomic comparisons have utilized complete proteomes from dozens of FEPs to reveal lifestyle-associated virulence mechanisms. Providing a powerful means for exploration, and the discovery of trends in large-scale datasets, network analysis has been used to identify core functions of the primordial cyanobacteria, and ancient evolutionary signatures in oxidoreductases. RESULTS: We used a sequence-similarity network to study components of virulence mechanisms of major pathogenic lifestyles (necrotroph (ic), N; biotroph (ic), B; hemibiotroph (ic), H) in complete pan-proteomes of 65 FEPs and 17 saprobes. Our comparative analysis highlights approximately 190 core functions found in 70% of the genomes of these pathogenic lifestyles. Core functions were found mainly in: transport (in H, N, B cores); carbohydrate metabolism, secondary metabolite synthesis, and protease (H and N cores); nucleic acid metabolism and signal transduction (B core); and amino acid metabolism (H core). Taken together, the necrotrophic core contains functions such as cell wall-associated degrading enzymes, toxin metabolism, and transport, which are likely to support their lifestyle of killing prior to feeding. The biotrophic stealth growth on living tissues is potentially controlled by a core of regulatory functions, such as: small G-protein family of GTPases, RNA modification, and cryptochrome-based light sensing. Regulatory mechanisms found in the hemibiotrophic core contain light- and CO(2)-sensing functions that could mediate important roles of this group, such as transition between lifestyles. CONCLUSIONS: The selected set of enriched core functions identified in our work can facilitate future studies aimed at controlling FEPs. One interesting example would be to facilitate the identification of the pathogenic potential of samples analyzed by metagenomics. Finally, our analysis offers potential evolutionary scenarios, suggesting that an early-branching saprobe (identified in previous studies) has probably evolved a necrotrophic lifestyle as illustrated by the highest number of shared gene families between saprobes and necrotrophs. BioMed Central 2019-12-26 /pmc/articles/PMC6933724/ /pubmed/31878885 http://dx.doi.org/10.1186/s12864-019-6409-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Pandaranayaka, Eswari PJ Frenkel, Omer Elad, Yigal Prusky, Dov Harel, Arye Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens |
title | Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens |
title_full | Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens |
title_fullStr | Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens |
title_full_unstemmed | Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens |
title_short | Network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens |
title_sort | network analysis exposes core functions in major lifestyles of fungal and oomycete plant pathogens |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933724/ https://www.ncbi.nlm.nih.gov/pubmed/31878885 http://dx.doi.org/10.1186/s12864-019-6409-3 |
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