Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Diener, C; Gibbons, SM.
More is Different: Metabolic Modeling of Diverse Microbial Communities.
mSystems. 2023; 8(2): e0127022 Doi: 10.1128/msystems.01270-22 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Leading authors Med Uni Graz

Diener Christian

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Abstract:

Microbial consortia drive essential processes, ranging from nitrogen fixation in soils to providing metabolic breakdown products to animal hosts. However, it is challenging to translate the composition of microbial consortia into their emergent functional capacities. Community-scale metabolic models hold the potential to simulate the outputs of complex microbial communities in a given environmental context, but there is currently no consensus for what the fitness function of an entire community should look like in the presence of ecological interactions and whether community-wide growth operates close to a maximum. Transitioning from single-taxon genome-scale metabolic models to multitaxon models implies a growth cone without a well-specified growth rate solution for individual taxa. Here, we argue that dynamic approaches naturally overcome these limitations, but they come at the cost of being computationally expensive. Furthermore, we show how two nondynamic, steady-state approaches approximate dynamic trajectories and pick ecologically relevant solutions from the community growth cone with improved computational scalability.

Find related publications in this database (using NLM MeSH Indexing)

Models, Biological - administration & dosage

Microbial Consortia - administration & dosage

Find related publications in this database (Keywords)

flux balance analysis

metabolic modeling

metabolism

microbial communities

microbial ecology

systems biology

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