Biology – Quantitative Biology – Molecular Networks
Scientific paper
2005-09-29
Biology
Quantitative Biology
Molecular Networks
5 figures
Scientific paper
Mixed-substrate microbial growth is among the most intensely studied systems in molecular microbiology. Several mathematical models have been developed to account for the genetic regulation of such systems, especially those resulting in diauxic growth. In this work, we compare the dynamics of three such models (Narang, Biotech. Bioeng., 59, 116, 1998; Thattai & Shraiman, Biophys. J, 85, 744, 2003; Brandt et al, Water Research, 38, 1004, 2004). We show that these models are dynamically similar - the initial motion of the inducible enzymes in all the models is described by Lotka-Volterra equations for competing species. The dynamic similarity occurs because in all the models, the inducible enzymes possess properties characteristic of competing species: Their synthesis is autocatalytic, and they inhibit each other. Despite this dynamic similarity, the models vary with respect to the range of dynamics captured. The Brandt et al model captures only the diauxic growth pattern, whereas the remaining two models capture both diauxic and non-diauxic growth patterns. The models also differ with respect to the mechanisms that generate the mutual inhibition between the enzymes. In the Narang model, the mutual inhibition occurs because the enzymes for each substrate enhance the dilution of the enzymes for the other substrate. In the Thattai & Shraiman model, the mutual inhibition is entirely due to competition for the phosphoryl groups.
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