Cargando…
Metabolic interactions between dynamic bacterial subpopulations
Individual microbial species are known to occupy distinct metabolic niches within multi-species communities. However, it has remained largely unclear whether metabolic specialization can similarly occur within a clonal bacterial population. More specifically, it is not clear what functions such spec...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025961/ https://www.ncbi.nlm.nih.gov/pubmed/29809139 http://dx.doi.org/10.7554/eLife.33099 |
_version_ | 1783336379175927808 |
---|---|
author | Rosenthal, Adam Z Qi, Yutao Hormoz, Sahand Park, Jin Li, Sophia Hsin-Jung Elowitz, Michael B |
author_facet | Rosenthal, Adam Z Qi, Yutao Hormoz, Sahand Park, Jin Li, Sophia Hsin-Jung Elowitz, Michael B |
author_sort | Rosenthal, Adam Z |
collection | PubMed |
description | Individual microbial species are known to occupy distinct metabolic niches within multi-species communities. However, it has remained largely unclear whether metabolic specialization can similarly occur within a clonal bacterial population. More specifically, it is not clear what functions such specialization could provide and how specialization could be coordinated dynamically. Here, we show that exponentially growing Bacillus subtilis cultures divide into distinct interacting metabolic subpopulations, including one population that produces acetate, and another population that differentially expresses metabolic genes for the production of acetoin, a pH-neutral storage molecule. These subpopulations exhibit distinct growth rates and dynamic interconversion between states. Furthermore, acetate concentration influences the relative sizes of the different subpopulations. These results show that clonal populations can use metabolic specialization to control the environment through a process of dynamic, environmentally-sensitive state-switching. |
format | Online Article Text |
id | pubmed-6025961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-60259612018-07-05 Metabolic interactions between dynamic bacterial subpopulations Rosenthal, Adam Z Qi, Yutao Hormoz, Sahand Park, Jin Li, Sophia Hsin-Jung Elowitz, Michael B eLife Computational and Systems Biology Individual microbial species are known to occupy distinct metabolic niches within multi-species communities. However, it has remained largely unclear whether metabolic specialization can similarly occur within a clonal bacterial population. More specifically, it is not clear what functions such specialization could provide and how specialization could be coordinated dynamically. Here, we show that exponentially growing Bacillus subtilis cultures divide into distinct interacting metabolic subpopulations, including one population that produces acetate, and another population that differentially expresses metabolic genes for the production of acetoin, a pH-neutral storage molecule. These subpopulations exhibit distinct growth rates and dynamic interconversion between states. Furthermore, acetate concentration influences the relative sizes of the different subpopulations. These results show that clonal populations can use metabolic specialization to control the environment through a process of dynamic, environmentally-sensitive state-switching. eLife Sciences Publications, Ltd 2018-05-29 /pmc/articles/PMC6025961/ /pubmed/29809139 http://dx.doi.org/10.7554/eLife.33099 Text en © 2018, Rosenthal et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Rosenthal, Adam Z Qi, Yutao Hormoz, Sahand Park, Jin Li, Sophia Hsin-Jung Elowitz, Michael B Metabolic interactions between dynamic bacterial subpopulations |
title | Metabolic interactions between dynamic bacterial subpopulations |
title_full | Metabolic interactions between dynamic bacterial subpopulations |
title_fullStr | Metabolic interactions between dynamic bacterial subpopulations |
title_full_unstemmed | Metabolic interactions between dynamic bacterial subpopulations |
title_short | Metabolic interactions between dynamic bacterial subpopulations |
title_sort | metabolic interactions between dynamic bacterial subpopulations |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025961/ https://www.ncbi.nlm.nih.gov/pubmed/29809139 http://dx.doi.org/10.7554/eLife.33099 |
work_keys_str_mv | AT rosenthaladamz metabolicinteractionsbetweendynamicbacterialsubpopulations AT qiyutao metabolicinteractionsbetweendynamicbacterialsubpopulations AT hormozsahand metabolicinteractionsbetweendynamicbacterialsubpopulations AT parkjin metabolicinteractionsbetweendynamicbacterialsubpopulations AT lisophiahsinjung metabolicinteractionsbetweendynamicbacterialsubpopulations AT elowitzmichaelb metabolicinteractionsbetweendynamicbacterialsubpopulations |