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.
journal_name
mSystemsjournal_title
mSystemsauthors
Chacón JM,Harcombe WRdoi
10.1128/mSystems.00146-19subject
Has Abstractpub_date
2019-06-11 00:00:00issue
3issn
2379-5077pii
4/3/e00146-19journal_volume
4pub_type
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