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Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models

Bacteria exploit an arsenal of antimicrobial peptides and proteins to compete with each other. Three main competition systems have been described: type six secretion systems (T6SS); contact dependent inhibition (CDI); and bacteriocins. Unlike T6SS and CDI systems, bacteriocins do not require contact...

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Autores principales: Sharp, Connor, Bray, James, Housden, Nicholas G., Maiden, Martin C. J., Kleanthous, Colin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536347/
https://www.ncbi.nlm.nih.gov/pubmed/28715501
http://dx.doi.org/10.1371/journal.pcbi.1005652
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author Sharp, Connor
Bray, James
Housden, Nicholas G.
Maiden, Martin C. J.
Kleanthous, Colin
author_facet Sharp, Connor
Bray, James
Housden, Nicholas G.
Maiden, Martin C. J.
Kleanthous, Colin
author_sort Sharp, Connor
collection PubMed
description Bacteria exploit an arsenal of antimicrobial peptides and proteins to compete with each other. Three main competition systems have been described: type six secretion systems (T6SS); contact dependent inhibition (CDI); and bacteriocins. Unlike T6SS and CDI systems, bacteriocins do not require contact between bacteria but are diffusible toxins released into the environment. Identified almost a century ago, our understanding of bacteriocin distribution and prevalence in bacterial populations remains poor. In the case of protein bacteriocins, this is because of high levels of sequence diversity and difficulties in distinguishing their killing domains from those of other competition systems. Here, we develop a robust bioinformatics pipeline exploiting Hidden Markov Models for the identification of nuclease bacteriocins (NBs) in bacteria of which, to-date, only a handful are known. NBs are large (>60 kDa) toxins that target nucleic acids (DNA, tRNA or rRNA) in the cytoplasm of susceptible bacteria, usually closely related to the producing organism. We identified >3000 NB genes located on plasmids or on the chromosome from 53 bacterial species distributed across different ecological niches, including human, animals, plants, and the environment. A newly identified NB predicted to be specific for Pseudomonas aeruginosa (pyocin Sn) was produced and shown to kill P. aeruginosa thereby validating our pipeline. Intriguingly, while the genes encoding the machinery needed for NB translocation across the cell envelope are widespread in Gram-negative bacteria, NBs are found exclusively in γ-proteobacteria. Similarity network analysis demonstrated that NBs fall into eight groups each with a distinct arrangement of protein domains involved in import. The only structural feature conserved across all groups was a sequence motif critical for cell-killing that is generally not found in bacteriocins targeting the periplasm, implying a specific role in translocating the nuclease to the cytoplasm. Finally, we demonstrate a significant association between nuclease colicins, NBs specific for Escherichia coli, and virulence factors, suggesting NBs play a role in infection processes, most likely by enabling pathogens to outcompete commensal bacteria.
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spelling pubmed-55363472017-08-07 Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models Sharp, Connor Bray, James Housden, Nicholas G. Maiden, Martin C. J. Kleanthous, Colin PLoS Comput Biol Research Article Bacteria exploit an arsenal of antimicrobial peptides and proteins to compete with each other. Three main competition systems have been described: type six secretion systems (T6SS); contact dependent inhibition (CDI); and bacteriocins. Unlike T6SS and CDI systems, bacteriocins do not require contact between bacteria but are diffusible toxins released into the environment. Identified almost a century ago, our understanding of bacteriocin distribution and prevalence in bacterial populations remains poor. In the case of protein bacteriocins, this is because of high levels of sequence diversity and difficulties in distinguishing their killing domains from those of other competition systems. Here, we develop a robust bioinformatics pipeline exploiting Hidden Markov Models for the identification of nuclease bacteriocins (NBs) in bacteria of which, to-date, only a handful are known. NBs are large (>60 kDa) toxins that target nucleic acids (DNA, tRNA or rRNA) in the cytoplasm of susceptible bacteria, usually closely related to the producing organism. We identified >3000 NB genes located on plasmids or on the chromosome from 53 bacterial species distributed across different ecological niches, including human, animals, plants, and the environment. A newly identified NB predicted to be specific for Pseudomonas aeruginosa (pyocin Sn) was produced and shown to kill P. aeruginosa thereby validating our pipeline. Intriguingly, while the genes encoding the machinery needed for NB translocation across the cell envelope are widespread in Gram-negative bacteria, NBs are found exclusively in γ-proteobacteria. Similarity network analysis demonstrated that NBs fall into eight groups each with a distinct arrangement of protein domains involved in import. The only structural feature conserved across all groups was a sequence motif critical for cell-killing that is generally not found in bacteriocins targeting the periplasm, implying a specific role in translocating the nuclease to the cytoplasm. Finally, we demonstrate a significant association between nuclease colicins, NBs specific for Escherichia coli, and virulence factors, suggesting NBs play a role in infection processes, most likely by enabling pathogens to outcompete commensal bacteria. Public Library of Science 2017-07-17 /pmc/articles/PMC5536347/ /pubmed/28715501 http://dx.doi.org/10.1371/journal.pcbi.1005652 Text en © 2017 Sharp 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
Sharp, Connor
Bray, James
Housden, Nicholas G.
Maiden, Martin C. J.
Kleanthous, Colin
Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models
title Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models
title_full Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models
title_fullStr Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models
title_full_unstemmed Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models
title_short Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models
title_sort diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using hidden markov models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536347/
https://www.ncbi.nlm.nih.gov/pubmed/28715501
http://dx.doi.org/10.1371/journal.pcbi.1005652
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