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Neutrality in the Metaorganism
Almost all animals and plants are inhabited by diverse communities of microorganisms, the microbiota, thereby forming an integrated entity, the metaorganism. Natural selection should favor hosts that shape the community composition of these microbes to promote a beneficial host-microbe symbiosis. In...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6583948/ https://www.ncbi.nlm.nih.gov/pubmed/31216282 http://dx.doi.org/10.1371/journal.pbio.3000298 |
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author | Sieber, Michael Pita, Lucía Weiland-Bräuer, Nancy Dirksen, Philipp Wang, Jun Mortzfeld, Benedikt Franzenburg, Sören Schmitz, Ruth A. Baines, John F. Fraune, Sebastian Hentschel, Ute Schulenburg, Hinrich Bosch, Thomas C. G. Traulsen, Arne |
author_facet | Sieber, Michael Pita, Lucía Weiland-Bräuer, Nancy Dirksen, Philipp Wang, Jun Mortzfeld, Benedikt Franzenburg, Sören Schmitz, Ruth A. Baines, John F. Fraune, Sebastian Hentschel, Ute Schulenburg, Hinrich Bosch, Thomas C. G. Traulsen, Arne |
author_sort | Sieber, Michael |
collection | PubMed |
description | Almost all animals and plants are inhabited by diverse communities of microorganisms, the microbiota, thereby forming an integrated entity, the metaorganism. Natural selection should favor hosts that shape the community composition of these microbes to promote a beneficial host-microbe symbiosis. Indeed, animal hosts often pose selective environments, which only a subset of the environmentally available microbes are able to colonize. How these microbes assemble after colonization to form the complex microbiota is less clear. Neutral models are based on the assumption that the alternatives in microbiota community composition are selectively equivalent and thus entirely shaped by random population dynamics and dispersal. Here, we use the neutral model as a null hypothesis to assess microbiata composition in host organisms, which does not rely on invoking any adaptive processes underlying microbial community assembly. We show that the overall microbiota community structure from a wide range of host organisms, in particular including previously understudied invertebrates, is in many cases consistent with neutral expectations. Our approach allows to identify individual microbes that are deviating from the neutral expectation and are therefore interesting candidates for further study. Moreover, using simulated communities, we demonstrate that transient community states may play a role in the deviations from the neutral expectation. Our findings highlight that the consideration of neutral processes and temporal changes in community composition are critical for an in-depth understanding of microbiota-host interactions. |
format | Online Article Text |
id | pubmed-6583948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65839482019-06-28 Neutrality in the Metaorganism Sieber, Michael Pita, Lucía Weiland-Bräuer, Nancy Dirksen, Philipp Wang, Jun Mortzfeld, Benedikt Franzenburg, Sören Schmitz, Ruth A. Baines, John F. Fraune, Sebastian Hentschel, Ute Schulenburg, Hinrich Bosch, Thomas C. G. Traulsen, Arne PLoS Biol Research Article Almost all animals and plants are inhabited by diverse communities of microorganisms, the microbiota, thereby forming an integrated entity, the metaorganism. Natural selection should favor hosts that shape the community composition of these microbes to promote a beneficial host-microbe symbiosis. Indeed, animal hosts often pose selective environments, which only a subset of the environmentally available microbes are able to colonize. How these microbes assemble after colonization to form the complex microbiota is less clear. Neutral models are based on the assumption that the alternatives in microbiota community composition are selectively equivalent and thus entirely shaped by random population dynamics and dispersal. Here, we use the neutral model as a null hypothesis to assess microbiata composition in host organisms, which does not rely on invoking any adaptive processes underlying microbial community assembly. We show that the overall microbiota community structure from a wide range of host organisms, in particular including previously understudied invertebrates, is in many cases consistent with neutral expectations. Our approach allows to identify individual microbes that are deviating from the neutral expectation and are therefore interesting candidates for further study. Moreover, using simulated communities, we demonstrate that transient community states may play a role in the deviations from the neutral expectation. Our findings highlight that the consideration of neutral processes and temporal changes in community composition are critical for an in-depth understanding of microbiota-host interactions. Public Library of Science 2019-06-19 /pmc/articles/PMC6583948/ /pubmed/31216282 http://dx.doi.org/10.1371/journal.pbio.3000298 Text en © 2019 Sieber 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 Sieber, Michael Pita, Lucía Weiland-Bräuer, Nancy Dirksen, Philipp Wang, Jun Mortzfeld, Benedikt Franzenburg, Sören Schmitz, Ruth A. Baines, John F. Fraune, Sebastian Hentschel, Ute Schulenburg, Hinrich Bosch, Thomas C. G. Traulsen, Arne Neutrality in the Metaorganism |
title | Neutrality in the Metaorganism |
title_full | Neutrality in the Metaorganism |
title_fullStr | Neutrality in the Metaorganism |
title_full_unstemmed | Neutrality in the Metaorganism |
title_short | Neutrality in the Metaorganism |
title_sort | neutrality in the metaorganism |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6583948/ https://www.ncbi.nlm.nih.gov/pubmed/31216282 http://dx.doi.org/10.1371/journal.pbio.3000298 |
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