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This effort contributes an approach to generalized modeling of microbial metabolism that will be useful for a theoretically and mechanistically principled approach to biogeochemical analysis.
In doing so, an agenda of research opportunities is identified to help deliver improvements in the modeling of microbial water quality draining through complex landscape systems.
The metabolic reconstruction itself often leads to the discovery of novel functions, pathways, and phenotypic traits, whereas the reconstructed network can be used for mathematical modeling of microbial metabolism and quantitative predictions for genetic engineering.
The aim of this review is to highlight and critically evaluate developments in the modeling of microbial water quality of surface waters over the last 10 years and to discuss the future of model development and application at the watershed scale, with a particular focus on fecal indicator organisms (FIOs).
The pathways used by the better-studied species were also found to be conserved in the newly discovered species that predominate in subsurface environments undergoing bioremediation, suggesting that the current metabolic model for G. sulfurreducens[ 20] provides a good foundation for broader modeling of microbial metabolism in contaminated subsurfaces during bioremediation.
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Our aim in this paper is to build a cheaper surrogate of an individual-based (IB) model simulation of microbial communities.
Fig. 4 Four exemplary jump diffusion models of microbial migration vs. mutation across a 3D lattice.
The most recent mathematical models of microbial activity in heterogeneous biofilms are based on cellular automata.
Genome-scale models of microbial metabolism are increasingly being used in biological discovery and metabolic engineering.
The new architecture is based on two existing models: WASABI and a model of Microbial Fuel Cell technology.
Mathematical models of microbial communities could be of great value in the rational design of microbiota-tailoring diets and therapies.
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