Abstract
The genetic network regulating the biosynthesis of subtilin in Bacillus subtilis is modeled as a stochastic hybrid system. The continuous state of the hybrid system is the concentrations of subtilin and various regulating proteins, whose productions are controlled by switches in the genetic network that are in turn modeled as Markov chains. Some preliminary results are given by both analysis and simulations.
This research is partially supported by the National Science Foundation under Grant No. EIA-0122599.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Amonlirdviman, K., Ghosh, R., Axelrod, J.D., Tomlin, C.: A hybrid systems approach to modeling and analyzing planar cell polarity. In: Proc. 3rd Int. Conf. on Systems Biology, Stockholm, Sweden (December 2002)
Banerjee, S., Hansen, J.N.: Structure and expression of a gene encoding the precursor of subtilin, a small protein antibiotic. J. Biol. Chem. 263(19), 9508–9514 (1988)
Bujorianu, M.L., Lygeros, J.: Reachability questions in piecewise deterministic markov processes. In: Maler, O., Pnueli, A. (eds.) HSCC 2003. LNCS, vol. 2623, pp. 126–140. Springer, Heidelberg (2003)
Cipra, B.A.: An introduction to the Ising model. Amer. Math. Monthly 94, 937–959 (1987)
Durrett, R.: Probability: Theory and Examples, 2nd edn. Duxbury Press, Boston (1996)
Elowitz, M.B., Levine, A.J., Siggia, E.D., Swain, P.S.: Stochastic gene expression in a single cell. Science 297, 1183–1186 (2002)
Entian, K.D., de Vos, W.M.: Genetics of subtilin and nisin biosyntheses: biosynthesis of lantibiotics. Antonie van Leeuwenhoek 69, 109–117 (1996)
Ghosh, R., Tomlin, C.: Lateral inhibition through delta-notch signaling: A piecewise affine hybrid model. In: di Benedetto, M.D., Sangiovanni- Vincentelli, A.L. (eds.) HSCC 2001. LNCS, vol. 2034, pp. 232–246. Springer, Heidelberg (2001)
Gillespie, D.T.: Exact stochastic simulation of coupled chemical reactions. J. of Phys. Chem. 81(25), 2340–2361 (1977)
Hu, J., Lygeros, J., Sastry, S.: Towards a theory of stochastic hybrid systems. In: Lynch, N.A., Krogh, B.H. (eds.) HSCC 2000. LNCS, vol. 1790, pp. 160–173. Springer, Heidelberg (2000)
Kiesau, P., Eikmanns, U., Eckel, Z.G., Weber, S., Hammelmann, M., Entian, K.D.: Evidence for a multimeric subtilin synthetase complex. J. of Bacteriology 179(5), 1475–1481 (1997)
Kleerebezem, M., Quadri, L.E.: Peptide pheromone-dependent regulation of antimicrobial peptide production in gram-positive bacteria: a case of multicellular behavior. Peptides 22, 1579–1596 (2001)
McAdams, H.H., Arkin, A.: Stochastic mechanisms in gene expression. Proc. Natl. Acad. Sci. 94, 814–819 (1997)
McAdams, H.H., Arkin, A.: It’s a noisy bussiness! genetic regulation at the nanomolar scale. TIG 15(2), 65–69 (1999)
Msadek, T.: When the going gets tough: survival strategies and environmental signaling networks in Bacillus subtilis. Trends in Microbiology 7(5), 201–207 (1999)
Ozbudak, E.M., Thattai, M., Kurtser, I., Grossman, A.D., van Oudenaarden, A.: Regulation of noise in the expression of a single gene. Nature Genetics 31, 69–73 (2002)
Rao, C.V., Wolf, D.M., Arkin, A.P.: Control, exploitation and tolerance of intracellular noise. Nature 402, 231–237 (2002)
Shea, M.A., Ackers, G.K.: The O R control system of bacteriophage lambda. A physical-chemical model for gene regulation. J. Mol. Biol. 181, 211–230 (1985)
Stein, T., Borchert, S., Kiesau, P., Heinzmann, S., Kloss, S., Klein, C., Helfrich, M., Entian, K.D.: Dual control of subtilin biosynthesis and immunity in Bacillus subtilis. Molecular Microbiology 44(2), 403–416 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, J., Wu, WC., Sastry, S. (2004). Modeling Subtilin Production in Bacillus subtilis Using Stochastic Hybrid Systems. In: Alur, R., Pappas, G.J. (eds) Hybrid Systems: Computation and Control. HSCC 2004. Lecture Notes in Computer Science, vol 2993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24743-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-540-24743-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21259-1
Online ISBN: 978-3-540-24743-2
eBook Packages: Springer Book Archive