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Identification and characterization of putative Aeromonas spp. T3SS effectors

The genetic determinants of bacterial pathogenicity are highly variable between species and strains. However, a factor that is commonly associated with virulent Gram-negative bacteria, including many Aeromonas spp., is the type 3 secretion system (T3SS), which is used to inject effector proteins int...

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Autores principales: Rangel, Luiz Thiberio, Marden, Jeremiah, Colston, Sophie, Setubal, João Carlos, Graf, Joerg, Gogarten, Johann Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548356/
https://www.ncbi.nlm.nih.gov/pubmed/31163020
http://dx.doi.org/10.1371/journal.pone.0214035
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author Rangel, Luiz Thiberio
Marden, Jeremiah
Colston, Sophie
Setubal, João Carlos
Graf, Joerg
Gogarten, Johann Peter
author_facet Rangel, Luiz Thiberio
Marden, Jeremiah
Colston, Sophie
Setubal, João Carlos
Graf, Joerg
Gogarten, Johann Peter
author_sort Rangel, Luiz Thiberio
collection PubMed
description The genetic determinants of bacterial pathogenicity are highly variable between species and strains. However, a factor that is commonly associated with virulent Gram-negative bacteria, including many Aeromonas spp., is the type 3 secretion system (T3SS), which is used to inject effector proteins into target eukaryotic cells. In this study, we developed a bioinformatics pipeline to identify T3SS effector proteins, applied this approach to the genomes of 105 Aeromonas strains isolated from environmental, mutualistic, or pathogenic contexts and evaluated the cytotoxicity of the identified effectors through their heterologous expression in yeast. The developed pipeline uses a two-step approach, where candidate Aeromonas gene families are initially selected using Hidden Markov Model (HMM) profile searches against the Virulence Factors DataBase (VFDB), followed by strict comparisons against positive and negative control datasets, greatly reducing the number of false positives. This approach identified 21 Aeromonas T3SS likely effector families, of which 8 represent known or characterized effectors, while the remaining 13 have not previously been described in Aeromonas. We experimentally validated our in silico findings by assessing the cytotoxicity of representative effectors in Saccharomyces cerevisiae BY4741, with 15 out of 21 assayed proteins eliciting a cytotoxic effect in yeast. The results of this study demonstrate the utility of our approach, combining a novel in silico search method with in vivo experimental validation, and will be useful in future research aimed at identifying and authenticating bacterial effector proteins from other genera.
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spelling pubmed-65483562019-06-17 Identification and characterization of putative Aeromonas spp. T3SS effectors Rangel, Luiz Thiberio Marden, Jeremiah Colston, Sophie Setubal, João Carlos Graf, Joerg Gogarten, Johann Peter PLoS One Research Article The genetic determinants of bacterial pathogenicity are highly variable between species and strains. However, a factor that is commonly associated with virulent Gram-negative bacteria, including many Aeromonas spp., is the type 3 secretion system (T3SS), which is used to inject effector proteins into target eukaryotic cells. In this study, we developed a bioinformatics pipeline to identify T3SS effector proteins, applied this approach to the genomes of 105 Aeromonas strains isolated from environmental, mutualistic, or pathogenic contexts and evaluated the cytotoxicity of the identified effectors through their heterologous expression in yeast. The developed pipeline uses a two-step approach, where candidate Aeromonas gene families are initially selected using Hidden Markov Model (HMM) profile searches against the Virulence Factors DataBase (VFDB), followed by strict comparisons against positive and negative control datasets, greatly reducing the number of false positives. This approach identified 21 Aeromonas T3SS likely effector families, of which 8 represent known or characterized effectors, while the remaining 13 have not previously been described in Aeromonas. We experimentally validated our in silico findings by assessing the cytotoxicity of representative effectors in Saccharomyces cerevisiae BY4741, with 15 out of 21 assayed proteins eliciting a cytotoxic effect in yeast. The results of this study demonstrate the utility of our approach, combining a novel in silico search method with in vivo experimental validation, and will be useful in future research aimed at identifying and authenticating bacterial effector proteins from other genera. Public Library of Science 2019-06-04 /pmc/articles/PMC6548356/ /pubmed/31163020 http://dx.doi.org/10.1371/journal.pone.0214035 Text en © 2019 Rangel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rangel, Luiz Thiberio
Marden, Jeremiah
Colston, Sophie
Setubal, João Carlos
Graf, Joerg
Gogarten, Johann Peter
Identification and characterization of putative Aeromonas spp. T3SS effectors
title Identification and characterization of putative Aeromonas spp. T3SS effectors
title_full Identification and characterization of putative Aeromonas spp. T3SS effectors
title_fullStr Identification and characterization of putative Aeromonas spp. T3SS effectors
title_full_unstemmed Identification and characterization of putative Aeromonas spp. T3SS effectors
title_short Identification and characterization of putative Aeromonas spp. T3SS effectors
title_sort identification and characterization of putative aeromonas spp. t3ss effectors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548356/
https://www.ncbi.nlm.nih.gov/pubmed/31163020
http://dx.doi.org/10.1371/journal.pone.0214035
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