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Model selection for microbial nutrient uptake using a cost-benefit approach.

Math. Biosci. 255, 52-70 (2014)
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We consider the uptake of various carbon sources by microorganisms based on four fundamental assumptions: (1) the uptake of nutrient follows a saturation characteristics (2) substrate processing has a benefit but comes at costs of maintaining the process chain (3) substrate uptake is controlled and (4) evolution optimized the control of substrate uptake. These assumptions result in relatively simple mathematical models. In case of two substrates, our main finding is the following: Depending on the overall topology of the metabolic pathway, three different behavioural patterns can be identified. (1) both substrates are consumed at a time, (2) one substrate is preferred and represses the uptake of the other (catabolite repression), or (3) a cell feeds exclusively on one or the other substrate, possibly leading to a population that splits in two sub-populations, each of them specialized on one substrate only. Batch-culture and retentostat data of toluene, benzoate, and acetate uptake by Geobacter metallireducens are used to demonstrate that the model structure is suited for a quantitative description of uptake dynamics.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Bacterial Substrate Utilization ; Bistable Nutrient Uptake ; Catabolite Repression ; Optimization; Geobacter-metallireducens; Escherichia-coli; Catabolite Repression; Inducer Exclusion; Carbon-sources; Lac Operon; Growth; Environments; Degradation; Cultivation
Language english
Publication Year 2014
HGF-reported in Year 2014
ISSN (print) / ISBN 0025-5564
e-ISSN 1879-3134
Quellenangaben Volume: 255, Issue: 1, Pages: 52-70 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place New York
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
20403 - Sustainable Water Management
Research field(s) Enabling and Novel Technologies
Environmental Sciences
PSP Element(s) G-503800-001
G-504300-006
G-504300-004
PubMed ID 24977929
Scopus ID 84906505849
Erfassungsdatum 2014-07-02