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A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites
Though most microorganisms live within a community, we have modest knowledge about microbial interactions and their implications for community properties and ecosystem functions. To advance understanding of microbial interactions, we describe a straightforward synthetic community system that can be...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686522/ https://www.ncbi.nlm.nih.gov/pubmed/29152587 http://dx.doi.org/10.1128/mSystems.00129-17 |
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author | Chodkowski, John L. Shade, Ashley |
author_facet | Chodkowski, John L. Shade, Ashley |
author_sort | Chodkowski, John L. |
collection | PubMed |
description | Though most microorganisms live within a community, we have modest knowledge about microbial interactions and their implications for community properties and ecosystem functions. To advance understanding of microbial interactions, we describe a straightforward synthetic community system that can be used to interrogate exometabolite interactions among microorganisms. The filter plate system (also known as the Transwell system) physically separates microbial populations, but allows for chemical interactions via a shared medium reservoir. Exometabolites, including small molecules, extracellular enzymes, and antibiotics, are assayed from the reservoir using sensitive mass spectrometry. Community member outcomes, such as growth, productivity, and gene regulation, can be determined using flow cytometry, biomass measurements, and transcript analyses, respectively. The synthetic community design allows for determination of the consequences of microbiome diversity for emergent community properties and for functional changes over time or after perturbation. Because it is versatile, scalable, and accessible, this synthetic community system has the potential to practically advance knowledge of microbial interactions that occur within both natural and artificial communities. IMPORTANCE Understanding microbial interactions is a fundamental objective in microbiology and ecology. The synthetic community system described here can set into motion a range of research to investigate how the diversity of a microbiome and interactions among its members impact its function, where function can be measured as exometabolites. The system allows for community exometabolite profiling to be coupled with genome mining, transcript analysis, and measurements of member productivity and population size. It can also facilitate discovery of natural products that are only produced within microbial consortia. Thus, this synthetic community system has utility to address fundamental questions about a diversity of possible microbial interactions that occur in both natural and engineered ecosystems. Author Video: An author video summary of this article is available. |
format | Online Article Text |
id | pubmed-5686522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-56865222017-11-17 A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites Chodkowski, John L. Shade, Ashley mSystems Methods and Protocols Though most microorganisms live within a community, we have modest knowledge about microbial interactions and their implications for community properties and ecosystem functions. To advance understanding of microbial interactions, we describe a straightforward synthetic community system that can be used to interrogate exometabolite interactions among microorganisms. The filter plate system (also known as the Transwell system) physically separates microbial populations, but allows for chemical interactions via a shared medium reservoir. Exometabolites, including small molecules, extracellular enzymes, and antibiotics, are assayed from the reservoir using sensitive mass spectrometry. Community member outcomes, such as growth, productivity, and gene regulation, can be determined using flow cytometry, biomass measurements, and transcript analyses, respectively. The synthetic community design allows for determination of the consequences of microbiome diversity for emergent community properties and for functional changes over time or after perturbation. Because it is versatile, scalable, and accessible, this synthetic community system has the potential to practically advance knowledge of microbial interactions that occur within both natural and artificial communities. IMPORTANCE Understanding microbial interactions is a fundamental objective in microbiology and ecology. The synthetic community system described here can set into motion a range of research to investigate how the diversity of a microbiome and interactions among its members impact its function, where function can be measured as exometabolites. The system allows for community exometabolite profiling to be coupled with genome mining, transcript analysis, and measurements of member productivity and population size. It can also facilitate discovery of natural products that are only produced within microbial consortia. Thus, this synthetic community system has utility to address fundamental questions about a diversity of possible microbial interactions that occur in both natural and engineered ecosystems. Author Video: An author video summary of this article is available. American Society for Microbiology 2017-11-14 /pmc/articles/PMC5686522/ /pubmed/29152587 http://dx.doi.org/10.1128/mSystems.00129-17 Text en Copyright © 2017 Chodkowski and Shade. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Methods and Protocols Chodkowski, John L. Shade, Ashley A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites |
title | A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites |
title_full | A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites |
title_fullStr | A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites |
title_full_unstemmed | A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites |
title_short | A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites |
title_sort | synthetic community system for probing microbial interactions driven by exometabolites |
topic | Methods and Protocols |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686522/ https://www.ncbi.nlm.nih.gov/pubmed/29152587 http://dx.doi.org/10.1128/mSystems.00129-17 |
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