Network analysis highlights complex interactions between pathogen, host and commensal microbiota.

Interactions between bacteria and their host represent a full continuum from pathogenicity to mutualism. From an evolutionary perspective, host-bacteria relationships are no longer considered a two-component system but rather a complex network. In this study, we focused on the relationship between b...

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Main Authors: Sébastien Boutin, Louis Bernatchez, Céline Audet, Nicolas Derôme
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3871659?pdf=render
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spelling doaj-da5ea93677314b3ca3c2b9fc3b1f64962020-11-25T01:13:24ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8477210.1371/journal.pone.0084772Network analysis highlights complex interactions between pathogen, host and commensal microbiota.Sébastien BoutinLouis BernatchezCéline AudetNicolas DerômeInteractions between bacteria and their host represent a full continuum from pathogenicity to mutualism. From an evolutionary perspective, host-bacteria relationships are no longer considered a two-component system but rather a complex network. In this study, we focused on the relationship between brook charr (Salvelinus fontinalis) and bacterial communities developing on skin mucus. We hypothesized that stressful conditions such as those occurring in aquaculture production induce shifts in the bacterial community of healthy fish, thus allowing pathogens to cause infections. The results showed that fish skin mucus microbiota taxonomical structure is highly specific, its diversity being partly influenced by the surrounding water bacterial community. Two types of taxonomic co-variation patterns emerged across 121 contrasted communities' samples: one encompassing four genera well known for their probiotic properties, the other harboring five genera mostly associated with pathogen species. The homeostasis of fish bacterial community was extensively disturbed by induction of physiological stress in that both: 1) the abundance of probiotic-like bacteria decreased after stress exposure; and 2) pathogenic bacteria increased following stress exposure. This study provides further insights regarding the role of mutualistic bacteria as a primary host protection barrier.http://europepmc.org/articles/PMC3871659?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Sébastien Boutin
Louis Bernatchez
Céline Audet
Nicolas Derôme
spellingShingle Sébastien Boutin
Louis Bernatchez
Céline Audet
Nicolas Derôme
Network analysis highlights complex interactions between pathogen, host and commensal microbiota.
PLoS ONE
author_facet Sébastien Boutin
Louis Bernatchez
Céline Audet
Nicolas Derôme
author_sort Sébastien Boutin
title Network analysis highlights complex interactions between pathogen, host and commensal microbiota.
title_short Network analysis highlights complex interactions between pathogen, host and commensal microbiota.
title_full Network analysis highlights complex interactions between pathogen, host and commensal microbiota.
title_fullStr Network analysis highlights complex interactions between pathogen, host and commensal microbiota.
title_full_unstemmed Network analysis highlights complex interactions between pathogen, host and commensal microbiota.
title_sort network analysis highlights complex interactions between pathogen, host and commensal microbiota.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description Interactions between bacteria and their host represent a full continuum from pathogenicity to mutualism. From an evolutionary perspective, host-bacteria relationships are no longer considered a two-component system but rather a complex network. In this study, we focused on the relationship between brook charr (Salvelinus fontinalis) and bacterial communities developing on skin mucus. We hypothesized that stressful conditions such as those occurring in aquaculture production induce shifts in the bacterial community of healthy fish, thus allowing pathogens to cause infections. The results showed that fish skin mucus microbiota taxonomical structure is highly specific, its diversity being partly influenced by the surrounding water bacterial community. Two types of taxonomic co-variation patterns emerged across 121 contrasted communities' samples: one encompassing four genera well known for their probiotic properties, the other harboring five genera mostly associated with pathogen species. The homeostasis of fish bacterial community was extensively disturbed by induction of physiological stress in that both: 1) the abundance of probiotic-like bacteria decreased after stress exposure; and 2) pathogenic bacteria increased following stress exposure. This study provides further insights regarding the role of mutualistic bacteria as a primary host protection barrier.
url http://europepmc.org/articles/PMC3871659?pdf=render
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AT nicolasderome networkanalysishighlightscomplexinteractionsbetweenpathogenhostandcommensalmicrobiota
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