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Evolutionary Applications
Article . 2015 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Evolutionary Applications
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Article . 2015
License: CC BY
Data sources: PubMed Central
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Polylysogeny magnifies competitiveness of a bacterial pathogen in vivo

Authors: Burns, N; James, C; Harrison, E;

Polylysogeny magnifies competitiveness of a bacterial pathogen in vivo

Abstract

AbstractThe rise of next generation sequencing is revealing a hidden diversity of temperate phages within the microbial community. While a handful of these phages have been well characterized, for the vast majority, the role of phage carriage, and especially multiple phage carriage, is poorly understood. The Liverpool epidemic strain of Pseudomonas aeruginosa is an aggressive pathogen in cystic fibrosis lung infections that has recently been found to contain several unique prophages within its genome. Here, we experimentally investigate the role of two of these phages in vivo, using an insect model of infection. We find that while no benefit is conferred by phage carriage in single bacterial infections, phages confer a large fitness advantage during mixed infections by mediating bacteria–bacteria competition. Differences between the two phages appeared to be associated with the rate at which the competitor acquired the phage, and therefore resistance. However, the advantage was greatest in the polylysogen, carrying both phages. These findings suggest that the LES phages may play an important role in host invasions and more generally show that the carriage of multiple phages may itself be beneficial by hindering the spread of resistance in rival bacterial populations.

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Keywords

health_and_wellbeing, Original Articles

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
Green
gold