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Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella

The maintenance and resilience of host-associated microbiota during development is a fundamental process influencing the fitness of many organisms. Several host properties were identified as influencing factors on bacterial colonization, including the innate immune system, mucus composition, and die...

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Autores principales: Domin, Hanna, Zurita-Gutiérrez, Yazmín H., Scotti, Marco, Buttlar, Jann, Hentschel Humeida, Ute, Fraune, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928149/
https://www.ncbi.nlm.nih.gov/pubmed/29740401
http://dx.doi.org/10.3389/fmicb.2018.00728
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author Domin, Hanna
Zurita-Gutiérrez, Yazmín H.
Scotti, Marco
Buttlar, Jann
Hentschel Humeida, Ute
Fraune, Sebastian
author_facet Domin, Hanna
Zurita-Gutiérrez, Yazmín H.
Scotti, Marco
Buttlar, Jann
Hentschel Humeida, Ute
Fraune, Sebastian
author_sort Domin, Hanna
collection PubMed
description The maintenance and resilience of host-associated microbiota during development is a fundamental process influencing the fitness of many organisms. Several host properties were identified as influencing factors on bacterial colonization, including the innate immune system, mucus composition, and diet. In contrast, the importance of bacteria–bacteria interactions on host colonization is less understood. Here, we use bacterial abundance data of the marine model organism Nematostella vectensis to reconstruct potential bacteria–bacteria interactions through co-occurrence networks. The analysis indicates that bacteria–bacteria interactions are dynamic during host colonization and change according to the host’s developmental stage. To assess the predictive power of inferred interactions, we tested bacterial isolates with predicted cooperative or competitive behavior for their ability to influence bacterial recolonization dynamics. Within 3 days of recolonization, all tested bacterial isolates affected bacterial community structure, while only competitive bacteria increased bacterial diversity. Only 1 week after recolonization, almost no differences in bacterial community structure could be observed between control and treatments. These results show that predicted competitive bacteria can influence community structure for a short period of time, verifying the in silico predictions. However, within 1 week, the effects of the bacterial isolates are neutralized, indicating a high degree of resilience of the bacterial community.
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spelling pubmed-59281492018-05-08 Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella Domin, Hanna Zurita-Gutiérrez, Yazmín H. Scotti, Marco Buttlar, Jann Hentschel Humeida, Ute Fraune, Sebastian Front Microbiol Microbiology The maintenance and resilience of host-associated microbiota during development is a fundamental process influencing the fitness of many organisms. Several host properties were identified as influencing factors on bacterial colonization, including the innate immune system, mucus composition, and diet. In contrast, the importance of bacteria–bacteria interactions on host colonization is less understood. Here, we use bacterial abundance data of the marine model organism Nematostella vectensis to reconstruct potential bacteria–bacteria interactions through co-occurrence networks. The analysis indicates that bacteria–bacteria interactions are dynamic during host colonization and change according to the host’s developmental stage. To assess the predictive power of inferred interactions, we tested bacterial isolates with predicted cooperative or competitive behavior for their ability to influence bacterial recolonization dynamics. Within 3 days of recolonization, all tested bacterial isolates affected bacterial community structure, while only competitive bacteria increased bacterial diversity. Only 1 week after recolonization, almost no differences in bacterial community structure could be observed between control and treatments. These results show that predicted competitive bacteria can influence community structure for a short period of time, verifying the in silico predictions. However, within 1 week, the effects of the bacterial isolates are neutralized, indicating a high degree of resilience of the bacterial community. Frontiers Media S.A. 2018-04-24 /pmc/articles/PMC5928149/ /pubmed/29740401 http://dx.doi.org/10.3389/fmicb.2018.00728 Text en Copyright © 2018 Domin, Zurita-Gutiérrez, Scotti, Buttlar, Hentschel Humeida and Fraune. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Domin, Hanna
Zurita-Gutiérrez, Yazmín H.
Scotti, Marco
Buttlar, Jann
Hentschel Humeida, Ute
Fraune, Sebastian
Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella
title Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella
title_full Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella
title_fullStr Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella
title_full_unstemmed Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella
title_short Predicted Bacterial Interactions Affect in Vivo Microbial Colonization Dynamics in Nematostella
title_sort predicted bacterial interactions affect in vivo microbial colonization dynamics in nematostella
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928149/
https://www.ncbi.nlm.nih.gov/pubmed/29740401
http://dx.doi.org/10.3389/fmicb.2018.00728
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