Control of Streptococcus pyogenes virulence: Modeling of the CovR/S signal transduction system

Journal of Theoretical Biology

Volumn 246, Issue 1, 2007, Pages 113-128

  Mitrophanov, Alexander Y ^a   Churchward, Gordon ^b   Borodovsky, Mark ^a,c  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c Wallace H Coulter Department of Biomedical Engineering   (United States)

Author keywords

Signal transduction network; Signal response curve; Transcription regulation control; Two component system

Indexed keywords

BACTERIUM; BIOCHEMISTRY; ENZYME ACTIVITY; GENE EXPRESSION; MODELING; PROTEIN; SIGNAL; VIRULENCE;

ALGORITHM; ARTICLE; BACTERIAL VIRULENCE; MATHEMATICAL MODEL; NONHUMAN; OSCILLATION; PRIORITY JOURNAL; PROKARYOTE; SENSITIVITY ANALYSIS; SIGNAL TRANSDUCTION; STEADY STATE; STREPTOCOCCUS PYOGENES; TRANSCRIPTION REGULATION;

ANIMALS; BACTERIAL PROTEINS; COMPUTER SIMULATION; GENE EXPRESSION REGULATION, BACTERIAL; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REPRESSOR PROTEINS; SIGNAL TRANSDUCTION; STREPTOCOCCAL INFECTIONS; STREPTOCOCCUS PYOGENES; TRANSCRIPTION, GENETIC; VIRULENCE;

BACTERIA (MICROORGANISMS); STREPTOCOCCUS PYOGENES; STREPTOCOCCUS SP. 'GROUP A';

EID: 34047270709     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2006.11.009     Document Type: Article

References (70)

1. Acerenza L., and Mizraji E. Cooperativity: A unified view. Biochim. Biophys. Acta 1339 (1997) 155-166
2. Alves R., and Savageau M.A. Comparative analysis of prototype two-component systems with either bifunctional or monofunctional sensors: differences in molecular structure and physiological function. Mol. Microbiol. 48 (2003) 25-51
3. Angeli D., Ferrell J.E., and Sontag E.D. Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feed-back systems. Proc. Natl. Acad. Sci. USA 101 (2004) 1822-1827
4. Asthagiri A.R., and Lauffenburger D.A. Bioengineering models of cell signaling. Ann. Rev. Biomed. Eng. 2 (2000) 31-53
5. Asthagiri A.R., and Lauffenburger D.A. A computational study of feedback effects on signal dynamics in a mitogen-activated protein kinase (MAPK) pathway model. Biotech. Progr. 17 (2001) 227-239
6. Banks H.T., and Mahaffy J.M. Stability of cyclic gene models for systems involving repression. J. Theor. Biol. 74 (1978) 323-334
7. Batchelor E., and Goulian M. Robustness and the cycle of phosphorylation and dephosphorylation in a two-component regulatory system. Proc. Natl. Acad. Sci. USA 100 (2003) 691-696
8. Bernish B., and Rijn I.v.d. Characterizatin of a two component system in Streptococcus pyogenes which is invloved in regulation of hyaluronic acid production. J. Biol. Chem. 274 (1999) 4786-4793
9. Bhalla U.S., and Iyengar R. Emergent properties of networks of biological signaling pathways. Science 283 (1999) 381-387
10. Blat Y., Gillespie B., Bren A., et al. Regulation of phosphatase activity in bacterial chemotaxis. J. Mol. Biol. 284 (1998) 1191-1199
11. Bliss R.D., Painter P.R., and Marr A.G. Role of feedback inhibition in stabilizing the classical operon. J. Theor. Biol. 97 (1982) 177-193
12. Bratsun D., Volfson D., Tsimring L.S., et al. Delay-induced stochastic oscillations in gene regulation. Proc. Natl. Acad. Sci. USA 102 (2005) 14593-14598
13. Cullen P.J., Bowman W.C., and Kranz R.G. In vitro reconstitution and characterization of the Rhodobacter capsulatus NtrB and NtrC two-component system. J. Biol. Chem. 271 (1996) 6530-6536
14. Cunningham M.W. Pathogenesis of group A streptococcal infection. Clin. Microbiol. Rev. 13 (2000) 470-511
15. Dalton T.L., and Scott J.R. CovS inactivates CovR and is required for growth under conditions of general stress in Streptococcus pyogenes. J. Bacteriol. 186 (2004) 3928-3937
16. de Jong H. Modeling and simulation of genetic regulatory systems: a literature review. J. Comp. Biol. 9 (2002) 67-103
17. Endy D., Kong D., and Yin J. Intracellular kinetics of a growing virus: a genetically structured simulation for bacteriophage T7. Biotechnol. Bioeng. 55 (1997) 375-389
18. Federle M.J., and Scott J.R. Identification of binding sites for the group A streptococcal global regulator CovR. Mol. Microbiol. 43 (2002) 1161-1172
19. Ferrell J.E. Tripping the switch fantastic: how a protein kinase cascade can convert graded inputs into switch-like outputs. Trends Biochem. Sci. 21 (1996) 460-466
20. Ferrell J.E. Self-perpetuating states in signal transduction: positive feedback, double-negative feedback and bistability. Curr. Opin. Cell Biol. 14 (2002) 140-148
21. Ferrell J.E., and Machleder E.M. The biochemical basis of an all-or-none cell fate switch in Xenopus oocytes. Science 280 (1998) 895-898
22. Ferrell J.E., and Xiong W. Bistability in cell signaling: how to make continuous processes discontinuous, and reversible processes irreversible. Chaos 11 (2001) 227-236
23. Gao J., Gusa A.A., Scott J.R., et al. Binding of the global response regulator protein CovR to the sag promoter of Streptococcus pyogenes reveals a new mode of CovR-DNA interaction. J. Biol. Chem. 280 (2005) 38948-38956
24. Garcia-Olivares A., Villarroel M., and Marijuan P.C. Enzymes as molecular automata: a stochastic model of self-oscillatory glycolytic cycles in cellular metabolism. Biosystems 56 (2000) 121-129
25. Goldbeter A., and Koshland D.E. An amplified sensitivity arising from covalent modification in biological systems. Proc. Natl. Acad. Sci. USA 78 (1981) 6840-6844
26. Goodwin B.C. Oscillatory behavior in enzymatic control processes. In: Weber G. (Ed). Advanced Enzyne Regulation (1965), Pergamon Press, Oxford 425-438
27. Graham M.R., Smoot L.M., Migliaccio C.A., et al. Virulence control in group A Streptococcus by a two-component gene regulatory system: global expression profiling and in vivo infection modeling. Proc. Natl. Acad. Sci. USA 99 (2002) 13855-13860
28. Griffith J.S. Mathematics of cellular control processes. 1. Negative feedback to 1 gene. J. Theor. Biol. 20 (1968) 202-208
29. Griffith J.S. Mathematics of cellular control processes. 2. Positive feedback to 1 gene. J. Theor. Biol. 20 (1968) 209-216
30. Groisman E.A. The pleiotropic two-component regulatory system PhoP-PhoQ. J. Bacteriol. 183 (2001) 1835-1842
31. Gusa A.A., and Scott J.R. The CovR response regulator of group A streptococcus (GAS) acts directly to repress its own promoter. Mol. Microbiol. 56 (2005) 1195-1207
32. Harshey R.M., Kawagishi I., Maddock J., et al. Function, diversity, and evolution of signal transduction in prokaryotes. Dev. Cell 4 (2003) 459-465
33. Hasty J., McMillen D., Isaacs F., et al. Computational studies of gene regulatory networks: In numero molecular biology. Nat. Rev. Genet. 2 (2001) 268-279
34. Heath A., DiRita V.J., Barg N.L., et al. A two-component regulatory system, CsrR-CsrS, represses expression of three Streptococcus pyogenes virulence factors, hyaluronic acid capsule, streptolysin S, and pyrogenic exotoxin B. Infect. Immun. 67 (1999) 5298-5305
35. Heinrich R., Neel B.G., and Rapoport T.A. Mathematical models of protein kinase signal transduction. Mol. Cell 9 (2002) 957-970
36. Heinrich R., and Schuster S. The Regulation of Cellular Systems (1996), Chapman & Hall, New York, London
37. Hill T.L. Cooperativity Theory in Biochemistry: Steady-state and Equilibrium Systems (1985), Springer, New York
38. Huang C.Y.F., and Ferrell J.E. Ultrasensitivity in the mitogen-activated protein kinase cascade. Proc. Natl. Acad. Sci. USA 93 (1996) 10078-10083
39. Ingalls B.P., and Sauro H.M. Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories. J. Theor. Biol. 222 (2003) 23-36
40. Jensen M.H., Sneppen K., and Tiana G. Sustained oscillations and time delays in gene expression of protein Hes1. FEBS Lett. 541 (2003) 176-177
41. Kenney L.J. Structure/function relationships in OmpR and other winged-helix transcription factors. Curr. Opin. Microbiol. 5 (2002) 135-141
42. Kholodenko B.N. Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades. Eur. J. Biochem. 267 (2000) 1583-1588
43. Kholodenko B.N., Hoek J.B., Westerhoff H.V., et al. Quantification of information transfer via cellular signal transduction pathways. FEBS Lett. 414 (1997) 430-434
44. Koretke K.K., Lupas A.N., Warren P.V., et al. Evolution of two-component signal transduction. Mol. Biol. Evol. 17 (2000) 1956-1970
45. Koshland D.E., Goldbeter A., and Stock J.B. Amplification and adaptation in regulatory and sensory systems. Science 217 (1982) 220-225
46. Kremling A., Heermann R., Centler F., et al. Analysis of two-component signal transduction by mathematical modeling using the KdpD/KdpE system of Escherichia coli. Biosystems 78 (2004) 23-37
47. Lema M.A., Golombek D.A., and Echave J. Delay model of the circadian pacemaker. J. Theor. Biol. 204 (2000) 565-573
48. Mackey M.C., Santillan M., and Yildirim N. Modeling operon dynamics: the tryptophan and lactose operons as paradigms. C. R. Biol. 327 (2004) 211-224
49. Miller A.A., Engleberg N.C., and DiRita V.J. Repression of virulence genes by phosphorylation-dependent oligomerization of CsrR at target promoters in S. pyogenes. Mol. Microbiol. 40 (2001) 976-990
50. Parkinson J.S. Signal transduction schemes of bacteria. Cell 73 (1993) 857-871
51. Rao C.V., Kirby J.R., and Arkin A.P. Design and diversity in bacterial chemotaxis: a comparative study in E. coli and Bacillus subtilis. PLoS Biol. 2 (2004) 239-252
52. Rao C.V., Kirby J.R., and Arkin A.P. Phosphatase localization in bacterial chemotaxis: divergent mechanisms, convergent principles. Phys. Biol. 2 (2005) 148-158
53. Rosenfeld N., Elowitz M.B., and Alon U. Negative autoregulation speeds the response times of transcription networks. J. Mol. Biol. 323 (2002) 785-793
54. Saez-Rodriguez J., Kremling A., and Conzelmann H.etal. Modular analysis of signal transduction networks. IEEE Control Syst. Mag. 24 (2004) 35-52
55. Saez-Rodriguez J., Kremling A., and Gilles E.D. Dissecting the puzzle of life: modularization of signal transduction networks. Comput. Chem. Eng. 29 (2005) 619-629
56. Santillan M., and Mackey M.C. Dynamic regulation of the tryptophan operon: a modeling study and comparison with experimental data. Proc. Natl. Acad. Sci. USA 98 (2001) 1364-1369
57. Schoeberl B., Eichler-Jonsson C., Gilles E.D., et al. Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors. Nat. Biotechnol. 20 (2002) 370-375
58. Smith H. Oscillations and multiple steady states in a cyclic gene model with repression. J. Math. Biol. 25 (1987) 169-190
59. Smolen P., Baxter D.A., and Byrne J.H. Modeling transcriptional control in gene networks-methods, recent results, and future directions. Bull. Math. Biol. 62 (2000) 247-292
60. Soyer O.S., Salathe M., and Bonhoeffer S. Signal transduction networks: topology, response and biochemical processes. J. Theor. Biol. 238 (2006) 416-425
61. Sriram K., and Gopinathan M.S. A two variable delay model for the circadian rhythm of Neurospora crassa. J. Theor. Biol. 231 (2004) 23-38
62. Stock A.M., Robinson V.L., and Goudreau P.N. Two-component signal transduction. Annu. Rev. Biochem. 69 (2000) 183-215
63. Sumby P., Whitney A.R., Graviss E.A., et al. Genome-wide analysis of Group A Streptococci reveals a mutation that modulates global phenotype and disease specificity. PLoS Pathogens 2 (2006) 41-49
64. Tyson J.J., and Othmer H.G. The dynamics of feedback control circuits in biochemical pathways. In: Rosen R., and Snell F. (Eds). Progress Theoretical Biology (1978), Academic Press, New York 1-62
65. Tyson J.J., Chen K.C., and Novak B. Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. Curr. Opin. Cell Biol. 15 (2003) 221-231
66. Varma A., Morbidelli M., and Wu H. Parametric Sensitivity in Chemical Systems (1999), Cambridge University Press, Cambridge
67. West A.H., and Stock A.M. Histidine kinases and response regulator proteins in two-component signaling systems. Trends Biochem. Sci. 26 (2001) 369-376
68. Yagil G., and Yagil E. On the relation between effector concentration and rate of induced enzyme synthesis. Biophys. J. 11 (1971) 11-27
69. Yildirim N., and Mackey M.C. Feedback regulation in the lactose operon: a mathematical modeling study and comparison with experimental data. Biophys. J. 84 (2003) 2841-2851
70. Yildirim N., Santillan M., Horike D., et al. Dynamics and bistability in a reduced model of the lac operon. Chaos 14 (2004) 279-292