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Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications

In nature, microbes do not exist in isolation but co-exist in a variety of ecological and biological environments and on various host organisms. Due to their close proximity, these microbes interact among themselves, and also with the hosts in both positive and negative manners. Moreover, these inte...

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Autores principales: Ang, Kok Siong, Lakshmanan, Meiyappan, Lee, Na-Rae, Lee, Dong-Yup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225453/
https://www.ncbi.nlm.nih.gov/pubmed/30532650
http://dx.doi.org/10.2174/1389202919666180911144055
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author Ang, Kok Siong
Lakshmanan, Meiyappan
Lee, Na-Rae
Lee, Dong-Yup
author_facet Ang, Kok Siong
Lakshmanan, Meiyappan
Lee, Na-Rae
Lee, Dong-Yup
author_sort Ang, Kok Siong
collection PubMed
description In nature, microbes do not exist in isolation but co-exist in a variety of ecological and biological environments and on various host organisms. Due to their close proximity, these microbes interact among themselves, and also with the hosts in both positive and negative manners. Moreover, these interactions may modulate dynamically upon external stimulus as well as internal community changes. This demands systematic techniques such as mathematical modeling to understand the intrinsic community behavior. Here, we reviewed various approaches for metabolic modeling of microbial communities. If detailed species-specific information is available, segregated models of individual organisms can be constructed and connected via metabolite exchanges; otherwise, the community may be represented as a lumped network of metabolic reactions. The constructed models can then be simulated to help fill knowledge gaps, and generate testable hypotheses for designing new experiments. More importantly, such community models have been developed to study microbial interactions in various niches such as host microbiome, biogeochemical and bioremediation, waste water treatment and synthetic consortia. As such, the metabolic modeling efforts have allowed us to gain new insights into the natural and synthetic microbial communities, and design interventions to achieve specific goals. Finally, potential directions for future development in metabolic modeling of microbial communities were also discussed.
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spelling pubmed-62254532019-06-01 Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications Ang, Kok Siong Lakshmanan, Meiyappan Lee, Na-Rae Lee, Dong-Yup Curr Genomics Article In nature, microbes do not exist in isolation but co-exist in a variety of ecological and biological environments and on various host organisms. Due to their close proximity, these microbes interact among themselves, and also with the hosts in both positive and negative manners. Moreover, these interactions may modulate dynamically upon external stimulus as well as internal community changes. This demands systematic techniques such as mathematical modeling to understand the intrinsic community behavior. Here, we reviewed various approaches for metabolic modeling of microbial communities. If detailed species-specific information is available, segregated models of individual organisms can be constructed and connected via metabolite exchanges; otherwise, the community may be represented as a lumped network of metabolic reactions. The constructed models can then be simulated to help fill knowledge gaps, and generate testable hypotheses for designing new experiments. More importantly, such community models have been developed to study microbial interactions in various niches such as host microbiome, biogeochemical and bioremediation, waste water treatment and synthetic consortia. As such, the metabolic modeling efforts have allowed us to gain new insights into the natural and synthetic microbial communities, and design interventions to achieve specific goals. Finally, potential directions for future development in metabolic modeling of microbial communities were also discussed. Bentham Science Publishers 2018-12 2018-12 /pmc/articles/PMC6225453/ /pubmed/30532650 http://dx.doi.org/10.2174/1389202919666180911144055 Text en © 2018 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Ang, Kok Siong
Lakshmanan, Meiyappan
Lee, Na-Rae
Lee, Dong-Yup
Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications
title Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications
title_full Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications
title_fullStr Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications
title_full_unstemmed Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications
title_short Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications
title_sort metabolic modeling of microbial community interactions for health, environmental and biotechnological applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225453/
https://www.ncbi.nlm.nih.gov/pubmed/30532650
http://dx.doi.org/10.2174/1389202919666180911144055
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