Microbial ecosystem modeling is complicated by the large number of unknown parameters and the lack of appropriate calibration tools.
Hence, while COMETS sets an important precedent, considerable work is still needed to make DFBA a practical approach in microbial ecosystem modeling.
We have now rephrased our conclusions on COMETS to the following: "Hence, while COMETS sets an important precedent, considerable work is still needed to make DFBA a practical approach in microbial ecosystem modeling".
Treseder, K. K. et al. Integrating microbial ecology into ecosystem models: challenges and priorities.
Payn, R., A.M. Helton, G.C. Poole, C. Izurieta, A.J. Burgin and E.S. Bernhardt, A generalized mechanistic model for applying thermodynamic, kinetic, and stoichiometric ecological theory to the biogeochemistry of aquatic microbial ecosystems, Ecological Modeling, vol. 294 (2015), pp. 1-18.
Here we present a novel computational framework for modeling microbial ecosystems, which combines genome-based model construction with statistical analysis and calibration to experimental data.
Here we use a model of a microbial ecosystem to show the evolutionary branching induced by the environmental fluctuation.
Furthermore, both beneficial and detrimental microbial activities are well defined in foods, making these systems a useful model for exploring microbial ecosystem dynamics beyond the scope of contaminant mitigation.
We believe that the EBPR process is a perfect model system for studies of microbial ecology in water engineering systems and that this conceptual model can be used for proposing and testing theories based on microbial ecosystem theories, for the development of new and improved quantitative ecosystem models and is beneficial for future design and management of wastewater treatment systems.
