Abstract
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.
Keywords: Microbial communities, Metabolism, Community modeling, Genome-scale metabolic models, Flux balance analysis, Kinetic models.
Current Genomics
Title:Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications
Volume: 19 Issue: 8
Author(s): Kok Siong Ang, Meiyappan Lakshmanan, Na-Rae Lee and Dong-Yup Lee*
Affiliation:
- Bioprocessing Technology Institute (BTI), A*STAR, Singapore 138668,Singapore
Keywords: Microbial communities, Metabolism, Community modeling, Genome-scale metabolic models, Flux balance analysis, Kinetic models.
Abstract: 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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Cite this article as:
Ang Siong Kok , Lakshmanan Meiyappan , Lee Na-Rae and Lee Dong-Yup *, Metabolic Modeling of Microbial Community Interactions for Health, Environmental and Biotechnological Applications, Current Genomics 2018; 19 (8) . https://dx.doi.org/10.2174/1389202919666180911144055
DOI https://dx.doi.org/10.2174/1389202919666180911144055 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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