Model selection for microbial nutrient uptake using a cost-benefit approach.
    
    
        
    
    
        
        Math. Biosci. 255, 52-70 (2014)
    
    
    
      
      
	
	    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
    
 
    
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        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
    
 
    
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        Language
        english
    
 
    
        Publication Year
        2014
    
 
    
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        HGF-reported in Year
        2014
    
 
    
    
        ISSN (print) / ISBN
        0025-5564
    
 
    
        e-ISSN
        1879-3134
    
 
    
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	    Volume: 255,  
	    Issue: 1,  
	    Pages: 52-70 
	    Article Number: ,  
	    Supplement: ,  
	
    
 
    
        
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            Publisher
            Elsevier
        
 
        
            Publishing Place
            New York
        
 
	
        
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        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
    
 
    
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        Erfassungsdatum
        2014-07-02