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Nutrient Uptake by Microorganisms According to Kinetic Parameters from Theory As Related to Cytoarchitecture

Overview
Specialty Microbiology
Date 1998 Sep 8
PMID 9729603
Citations 41
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Abstract

The abilities of organisms to sequester substrate are described by the two kinetic constants specific affinity, a degrees, and maximal velocity Vmax. Specific affinity is derived from the frequency of substrate-molecule collisions with permease sites on the cell surface at subsaturating concentrations of substrates. Vmax is derived from the number of permeases and the effective residence time, tau, of the transported molecule on the permease. The results may be analyzed with affinity plots (v/S versus v, where v is the rate of substrate uptake), which extrapolate to the specific affinity and are usually concave up. A third derived parameter, the affinity constant KA, is similar to KM but is compared to the specific affinity rather than Vmax and is defined as the concentration of substrate necessary to reduce the specific affinity by half. It can be determined in the absence of a maximal velocity measurement and is equal to the Michaelis constant for a system with hyperbolic kinetics. Both are taken as a measure of tau, with departure of KM from KA being affected by permease/enzyme ratios. Compilation of kinetic data indicates a 10(8)-fold range in specific affinities and a smaller (10(3)-fold) range in Vmax values. Data suggest that both specific affinities and maximal velocities can be underestimated by protocols which interrupt nutrient flow prior to kinetic analysis. A previously reported inverse relationship between specific affinity and saturation constants was confirmed. Comparisons of affinities with ambient concentrations of substrates indicated that only the largest a degreesS values are compatible with growth in natural systems.

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References
1.
Schut F, de Vries E, Gottschal J, Robertson B, Harder W, Prins R . Isolation of Typical Marine Bacteria by Dilution Culture: Growth, Maintenance, and Characteristics of Isolates under Laboratory Conditions. Appl Environ Microbiol. 1993; 59(7):2150-60. PMC: 182250. DOI: 10.1128/aem.59.7.2150-2160.1993. View

2.
Sarker R, Ogawa W, Tsuda M, Tanaka S, Tsuchiya T . Characterization of a glucose transport system in Vibrio parahaemolyticus. J Bacteriol. 1994; 176(23):7378-82. PMC: 197129. DOI: 10.1128/jb.176.23.7378-7382.1994. View

3.
Wang Y, Rawlings M, Gibson D, Labbe D, Bergeron H, Brousseau R . Identification of a membrane protein and a truncated LysR-type regulator associated with the toluene degradation pathway in Pseudomonas putida F1. Mol Gen Genet. 1995; 246(5):570-9. DOI: 10.1007/BF00298963. View

4.
Quant P . Experimental application of top-down control analysis to metabolic systems. Trends Biochem Sci. 1993; 18(1):26-30. DOI: 10.1016/0968-0004(93)90084-z. View

5.
Button D, Robertson B . Kinetics of bacterial processes in natural aquatic systems based on biomass as determined by high-resolution flow cytometry. Cytometry. 1989; 10(5):558-63. DOI: 10.1002/cyto.990100511. View