Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783423829954002944 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6548356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT rangelluizthiberio identificationandcharacterizationofputativeaeromonassppt3sseffectors AT mardenjeremiah identificationandcharacterizationofputativeaeromonassppt3sseffectors AT colstonsophie identificationandcharacterizationofputativeaeromonassppt3sseffectors AT setubaljoaocarlos identificationandcharacterizationofputativeaeromonassppt3sseffectors AT grafjoerg identificationandcharacterizationofputativeaeromonassppt3sseffectors AT gogartenjohannpeter identificationandcharacterizationofputativeaeromonassppt3sseffectors |