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Niche partitioning of a pathogenic microbiome driven by chemical gradients
Environmental microbial communities are stratified by chemical gradients that shape the structure and function of these systems. Similar chemical gradients exist in the human body, but how they influence these microbial systems is more poorly understood. Understanding these effects can be particular...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157970/ https://www.ncbi.nlm.nih.gov/pubmed/30263961 http://dx.doi.org/10.1126/sciadv.aau1908 |
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author | Quinn, Robert A. Comstock, William Zhang, Tianyu Morton, James T. da Silva, Ricardo Tran, Alda Aksenov, Alexander Nothias, Louis-Felix Wangpraseurt, Daniel Melnik, Alexey V. Ackermann, Gail Conrad, Douglas Klapper, Isaac Knight, Rob Dorrestein, Pieter C. |
author_facet | Quinn, Robert A. Comstock, William Zhang, Tianyu Morton, James T. da Silva, Ricardo Tran, Alda Aksenov, Alexander Nothias, Louis-Felix Wangpraseurt, Daniel Melnik, Alexey V. Ackermann, Gail Conrad, Douglas Klapper, Isaac Knight, Rob Dorrestein, Pieter C. |
author_sort | Quinn, Robert A. |
collection | PubMed |
description | Environmental microbial communities are stratified by chemical gradients that shape the structure and function of these systems. Similar chemical gradients exist in the human body, but how they influence these microbial systems is more poorly understood. Understanding these effects can be particularly important for dysbiotic shifts in microbiome structure that are often associated with disease. We show that pH and oxygen strongly partition the microbial community from a diseased human lung into two mutually exclusive communities of pathogens and anaerobes. Antimicrobial treatment disrupted this chemical partitioning, causing complex death, survival, and resistance outcomes that were highly dependent on the individual microorganism and on community stratification. These effects were mathematically modeled, enabling a predictive understanding of this complex polymicrobial system. Harnessing the power of these chemical gradients could be a drug-free method of shaping microbial communities in the human body from undesirable dysbiotic states. |
format | Online Article Text |
id | pubmed-6157970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61579702018-09-27 Niche partitioning of a pathogenic microbiome driven by chemical gradients Quinn, Robert A. Comstock, William Zhang, Tianyu Morton, James T. da Silva, Ricardo Tran, Alda Aksenov, Alexander Nothias, Louis-Felix Wangpraseurt, Daniel Melnik, Alexey V. Ackermann, Gail Conrad, Douglas Klapper, Isaac Knight, Rob Dorrestein, Pieter C. Sci Adv Research Articles Environmental microbial communities are stratified by chemical gradients that shape the structure and function of these systems. Similar chemical gradients exist in the human body, but how they influence these microbial systems is more poorly understood. Understanding these effects can be particularly important for dysbiotic shifts in microbiome structure that are often associated with disease. We show that pH and oxygen strongly partition the microbial community from a diseased human lung into two mutually exclusive communities of pathogens and anaerobes. Antimicrobial treatment disrupted this chemical partitioning, causing complex death, survival, and resistance outcomes that were highly dependent on the individual microorganism and on community stratification. These effects were mathematically modeled, enabling a predictive understanding of this complex polymicrobial system. Harnessing the power of these chemical gradients could be a drug-free method of shaping microbial communities in the human body from undesirable dysbiotic states. American Association for the Advancement of Science 2018-09-26 /pmc/articles/PMC6157970/ /pubmed/30263961 http://dx.doi.org/10.1126/sciadv.aau1908 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Quinn, Robert A. Comstock, William Zhang, Tianyu Morton, James T. da Silva, Ricardo Tran, Alda Aksenov, Alexander Nothias, Louis-Felix Wangpraseurt, Daniel Melnik, Alexey V. Ackermann, Gail Conrad, Douglas Klapper, Isaac Knight, Rob Dorrestein, Pieter C. Niche partitioning of a pathogenic microbiome driven by chemical gradients |
title | Niche partitioning of a pathogenic microbiome driven by chemical gradients |
title_full | Niche partitioning of a pathogenic microbiome driven by chemical gradients |
title_fullStr | Niche partitioning of a pathogenic microbiome driven by chemical gradients |
title_full_unstemmed | Niche partitioning of a pathogenic microbiome driven by chemical gradients |
title_short | Niche partitioning of a pathogenic microbiome driven by chemical gradients |
title_sort | niche partitioning of a pathogenic microbiome driven by chemical gradients |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157970/ https://www.ncbi.nlm.nih.gov/pubmed/30263961 http://dx.doi.org/10.1126/sciadv.aau1908 |
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