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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rosenthal, Adam Z, Qi, Yutao, Hormoz, Sahand, Park, Jin, Li, Sophia Hsin-Jung, Elowitz, Michael B
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