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

Abstract:
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.
Publication status:
Published
Peer review status:
Peer reviewed

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10.1371/journal.pcbi.1005652

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Institution:
University of Oxford
Division:
MSD
Department:
Biochemistry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Biochemistry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Biochemistry
Role:
Author


More from this funder
Funding agency for:
Maiden, M
Kleanthous, C
Grant:
201505/Z/16/Z
201505/Z/16/Z
collaborativeawardtoCK
MCJM(201505/Z/16/Z
More from this funder
Funding agency for:
Sharp, C
Grant:
Life Sciences Interface Doctoral Training Centre in Oxford


Publisher:
Public Library of Science
Journal:
PLoS Computational Biology More from this journal
Volume:
13
Issue:
7
Article number:
e1005652
Publication date:
2017-07-17
Acceptance date:
2017-07-12
DOI:
ISSN:
1553-7358


Pubs id:
pubs:708352
UUID:
uuid:eb2b1133-2a14-42d9-9dcc-04280f067628
Local pid:
pubs:708352
Deposit date:
2017-07-17
ARK identifier:

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