The Power of Metabolism for Predicting Microbial Community Dynamics

ABSTRACT Quantitative understanding and prediction of microbial community dynamics are an outstanding challenge. We test the hypothesis that metabolic mechanisms provide a foundation for accurate prediction of dynamics in microbial systems. In our research, metabolic models have been able to accurat...

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Autores principales: Jeremy M. Chacón, William R. Harcombe
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2019
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Acceso en línea:https://doaj.org/article/9abd17139dd247dca0b7e624057123ac
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spelling oai:doaj.org-article:9abd17139dd247dca0b7e624057123ac2021-12-02T18:44:39ZThe Power of Metabolism for Predicting Microbial Community Dynamics10.1128/mSystems.00146-192379-5077https://doaj.org/article/9abd17139dd247dca0b7e624057123ac2019-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00146-19https://doaj.org/toc/2379-5077ABSTRACT Quantitative understanding and prediction of microbial community dynamics are an outstanding challenge. We test the hypothesis that metabolic mechanisms provide a foundation for accurate prediction of dynamics in microbial systems. In our research, metabolic models have been able to accurately predict species interactions, evolutionary trajectories, and response to perturbation in simple synthetic consortia. However, metabolic models have many constraints and often serve best as null models to identify additional processes at play. We anticipate that major advances in metabolic systems biology will involve scaling bottom-up approaches to complex communities and expanding the processes that are incorporated in a metabolic perspective. Ultimately, cellular metabolism will inform predictive ecology that enables precision management of microbial systems.Jeremy M. ChacónWilliam R. HarcombeAmerican Society for Microbiologyarticlemetabolismantibioticsbacteriophageecologyevolutiongenome-scale modelingMicrobiologyQR1-502ENmSystems, Vol 4, Iss 3 (2019)
institution DOAJ
collection DOAJ
language EN
topic metabolism
antibiotics
bacteriophage
ecology
evolution
genome-scale modeling
Microbiology
QR1-502
spellingShingle metabolism
antibiotics
bacteriophage
ecology
evolution
genome-scale modeling
Microbiology
QR1-502
Jeremy M. Chacón
William R. Harcombe
The Power of Metabolism for Predicting Microbial Community Dynamics
description ABSTRACT Quantitative understanding and prediction of microbial community dynamics are an outstanding challenge. We test the hypothesis that metabolic mechanisms provide a foundation for accurate prediction of dynamics in microbial systems. In our research, metabolic models have been able to accurately predict species interactions, evolutionary trajectories, and response to perturbation in simple synthetic consortia. However, metabolic models have many constraints and often serve best as null models to identify additional processes at play. We anticipate that major advances in metabolic systems biology will involve scaling bottom-up approaches to complex communities and expanding the processes that are incorporated in a metabolic perspective. Ultimately, cellular metabolism will inform predictive ecology that enables precision management of microbial systems.
format article
author Jeremy M. Chacón
William R. Harcombe
author_facet Jeremy M. Chacón
William R. Harcombe
author_sort Jeremy M. Chacón
title The Power of Metabolism for Predicting Microbial Community Dynamics
title_short The Power of Metabolism for Predicting Microbial Community Dynamics
title_full The Power of Metabolism for Predicting Microbial Community Dynamics
title_fullStr The Power of Metabolism for Predicting Microbial Community Dynamics
title_full_unstemmed The Power of Metabolism for Predicting Microbial Community Dynamics
title_sort power of metabolism for predicting microbial community dynamics
publisher American Society for Microbiology
publishDate 2019
url https://doaj.org/article/9abd17139dd247dca0b7e624057123ac
work_keys_str_mv AT jeremymchacon thepowerofmetabolismforpredictingmicrobialcommunitydynamics
AT williamrharcombe thepowerofmetabolismforpredictingmicrobialcommunitydynamics
AT jeremymchacon powerofmetabolismforpredictingmicrobialcommunitydynamics
AT williamrharcombe powerofmetabolismforpredictingmicrobialcommunitydynamics
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