A computational analysis of the impact of the transient genetic imbalance on compartmentalized gene expression during sporulation in Bacillus subtilis.
Sporulation in Bacillus subtilis serves as paradigm for the development of two different cell types (mother cell and prespore) from a single cell. Differential gene expression is achieved by restricting the activation of the key transcription factor sigmaF to the smaller prespore. By use of a combination of mathematical and experimental techniques we have recently shown that the volume difference determines cell fate and that the accumulation of the phosphatase SpoIIE on the asymmetrically placed septum is sufficient for prespore-specific sigmaF activation. Since compartmentalized gene expression is still obtained when SpoIIE cannot accumulate on the septum a number of alternative mechanisms have been proposed. These mechanisms focus on the difference in gene content between mother cell and prespore immediately after septation. Here the computational model is employed to show that under physiological conditions the transient genetic imbalance is unlikely to affect the septation-dependent release of sigmaF. The duration of the transient genetic imbalance is too short for the degradation of SpoIIAB to have an impact on the release of sigmaF. Moreover, the existence of an elusive IIE inhibitor, which has been proposed to become depleted in the prespore because of the transient genetic imbalance, is shown to be inconsistent with available experimental data. We conclude that the volume difference between the two compartments is the main determinant of cell fate.
Iber
Dagmar
D
Mathematical Institute, Centre for Mathematical Biology, University of Oxford, Oxford, UK. iber@maths.ox.ac.uk
D001412:Bacillus subtilis / Q000378:metabolism*; D001426:Bacterial Proteins / Q000737:chemistry; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D015964:Gene Expression Regulation, Bacterial; D005798:Genes, Bacterial; D008954:Models, Biological; D008957:Models, Genetic; D008962:Models, Theoretical; D012808:Sigma Factor / Q000737:chemistry; D013171:Spores, Bacterial / Q000737:chemistry / Q000502:physiology*; D013997:Time Factors
D001426:Bacterial Proteins; C064971:FliA protein, Bacteria; D012808:Sigma Factor; C030069:spore-specific proteins, Bacillus