Borer B(1), Or D(2). Author information:
(1)Department of Environmental Systems Science, ETH Zurich, Universitätstrasse
16, 8092 Zürich, Switzerland; The Department for Earth, Atmospheric and
Planetary Science, MIT, Boston, MA, USA. Electronic address: [Email]
(2)Department of Environmental Systems Science, ETH Zurich, Universitätstrasse
16, 8092 Zürich, Switzerland; Div. of Hydrologic Sciences, Desert Research
Institute, Reno, NV, USA.
The combination of genome-scale metabolic networks with spatially explicit representation of microbial habitats (spatiotemporal metabolic network modeling) paves the way to predict complex metabolic landscapes to a hitherto unparalleled detail, thus providing new insights into trophic interactions occurring at different scales. Placing detailed bacterial metabolism in realistic physical environment highlights the roles of physical barriers and diffusional bottlenecks on bacterial community interactions, structure and stability. We review recent advances in spatiotemporal metabolic network modeling using a few illustrative examples that highlight the immense potential of these novel approaches to interpret and design metabolic mediated interactions in structures (natural and engineered) environments.
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