![]() | ![]() |
Formats:
|
||||||||||||
Ordered Phosphorylation Governs Oscillation of a Three-Protein Circadian Clock 1Howard Hughes Medical Institute, Faculty of Arts and Sciences Center for Systems Biology, Department of Molecular and Cellular Biology and of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA 2Graduate Program in Biophysics, Harvard University, Cambridge, MA 02138, USA 3Microchemistry and Proteomics Analysis Facility, Faculty of Arts and Sciences Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA 4Department of Applied Physics, Stanford University, Stanford, CA 94305, USA *These authors contributed equally to this work. †To whom correspondence should be addressed. E-mail: erin_oshea/at/harvard.edu Abstract The simple circadian oscillator found in cyanobacteria can be reconstituted in vitro using three proteins—KaiA, KaiB, and KaiC. The total phosphorylation level of KaiC oscillates with a circadian period, but the mechanism underlying its sustained oscillation remains unclear. We have shown that four forms of KaiC differing in their phosphorylation state appear in an ordered pattern arising from the intrinsic autokinase and autophosphatase rates of KaiC and their modulation by KaiA. Kinetic and biochemical data indicate that one of these phosphoforms inhibits the activity of KaiA via interaction with KaiB, providing the crucial feedback that sustains oscillation. A mathematical model constrained by experimental data quantitatively reproduces the circadian period and the distinctive dynamics of the four phosphoforms. Circadian clocks coordinate metabolism and behavior with diurnal cycles in the environment (1). These clocks traditionally have been understood as transcriptional feedback oscillators in which clock genes repress their own synthesis, creating negative feedback that drives oscillation (1). However, pioneering work by Kondo and colleagues has shown that the circadian clock of the cyanobacterium Synechococcus elongatus requires neither transcription nor translation (2), and circadian oscillations can be reconstituted in vitro using only three proteins: KaiA, KaiB, and KaiC (3). KaiC is a hexameric enzyme (4) that can autophosphorylate (5) and autodephosphorylate (6) at both serine 431 (S431) and threonine 432 (T432) (7, 8). The dimeric KaiA (9, 10) enhances the autophosphorylation of KaiC (11), whereas KaiB antagonizes the activity of KaiA (11-13). In the absence of KaiA, KaiC fully dephosphorylates (9). Complexes form between the Kai proteins (14), and the relative proportions of the KaiC-containing complexes oscillate (9, 15). The amount of phosphorylated KaiC oscillates with a circadian period (11). However, the total level of phosphorylation cannot be the only dynamical variable controlling the oscillator since it traverses the same value twice each day, but each time in a different direction (increasing during the subjective day and decreasing during the subjective night). Previous mathematical models have treated both phosphorylation sites as functionally equivalent (16-24), and have proposed additional dynamical variables arising from persistent conformational changes (18, 20-24) or long-lived heterocomplexes (16, 17); we hypothesized that additional variables could be found by examining the pattern of multisite phosphorylation of KaiC during the circadian cycle. We measured the time dependence of phosphorylation at S431 and T432 by SDS-PAGE (Fig. 1, A and B
The predominance of distinct phosphoforms at different points in a cycle—T-KaiC during the phosphorylation phase and S-KaiC during the dephosphorylation phase—suggests that the phosphoform distribution (or a conformation tightly linked to the phosphorylation state) may determine the phase of the oscillator. If this is true, it should be possible to specify the initial phase by preparing KaiC with the appropriate phosphoform distribution and then adding KaiB and KaiA to initiate oscillations. Indeed, a reaction initiated with a KaiC pool enriched in T-KaiC begins in the phosphorylation phase, whereas a reaction initiated with high levels of S-KaiC begins in the dephosphorylation phase (Fig. 1C To investigate the origins of the ordered pattern of KaiC phosphoforms, we decomposed the oscillator into partial reactions. When KaiA is mixed with U-KaiC, T-KaiC accumulates first, followed by ST-KaiC, and eventually by S-KaiC (Fig. 2A
Combining the phosphoform dynamics observed in the partial reactions (Fig. 2, A and B
Inactivation of KaiA requires KaiB, as no oscillations occur in its absence (9) (Fig. 2A To further investigate the timing of KaiB function, we introduced it to a KaiA-KaiC reaction at various points (Fig. 3D To determine if our understanding of the phosphoform kinetics and feedback mechanism can quantitatively account for the circadian oscillation of KaiC phosphorylation, we created a simple mathematical model (Fig. 4A
Using rate constants and a KaiA concentration dependence (table S2) derived solely from data on the non-oscillatory partial reactions (Fig. 2 The following picture of the origin of stable oscillations emerges (fig. S6A). Starting from the unphosphorylated state, KaiA promotes phosphorylation that is kinetically favored at T432; subsequent phosphorylation at S431 produces ST-KaiC. ST-KaiC can decay via dephosphorylation of T432 to produce S-KaiC, but S-KaiC accumulation is slow because KaiA both inhibits that dephosphorylation and promotes rephosphorylation of S-KaiC to ST-KaiC. Thus, S-KaiC levels remain low until a substantial pool of ST-KaiC has formed. When S-KaiC levels do rise, KaiA activity is reduced, promoting dephosphorylation of ST-KaiC and thereby causing it to rapidly decay into S-KaiC. Thus, S-KaiC accelerates its own production (from ST-KaiC), which causes its concentration to overshoot the point at which KaiA is completely inactivated; this overshoot yields a reservoir of S-KaiC that permits extended inactivation of KaiA even as S-KaiC concentrations decrease through dephosphorylation. In the absence of KaiA activity, T-KaiC and ST-KaiC both dephosphorylate, and S-KaiC—which dephosphorylates more slowly—becomes the dominant remaining phosphorylated species. Eventually enough S-KaiC dephosphorylates for KaiA activity to return, and the cycle begins anew. To focus on the essential slow dynamics and to be able to derive model parameters directly from our experimental data, our model ignores some known biochemical properties of the Kai proteins and abstracts others into the rate constants. KaiC exists as a hexamer (4), and we have neglected possible effects that depend on the state of the entire hexamer. Further, monomer exchange between hexamers (9) is not explicitly included, and we assume that inhibition of KaiA via KaiB occurs instantaneously upon formation of S-KaiC. In actuality, inhibition appears to take approximately one hour (fig. S9), possibly due to slow interaction between KaiB and KaiC or slow exchange of monomers between hexamers. These neglected effects have the potential to increase both the tendency of the system to oscillate and the amplitude of oscillation, but the success of our simplified model suggests that they are not part of the fundamental mechanism. A recent report from the Kondo group (26) describes the differential phosphorylation of S431 and T432 during the circadian cycle and the interaction of KaiB with KaiC phosphorylated on S431. By using phosphomimetic KaiC mutants, they provide information about ordered phosphorylation complementary to and consistent with our kinetic study of wild-type KaiC. The most striking behavior of the cyanobacterial circadian oscillator in vivo is its precision: Even with asynchronous cell division and an absence of external cues, the clock of a single cell and its offspring maintains precision to a small fraction of a day over several weeks (27). A reductive understanding of the various aspects of the clock—especially that of the core Kai oscillator presented here—should enable us to understand the effects of random fluctuations and variable environments. The Synechococcus clock provides an ideal model system for understanding how cells perform quantitative functions in highly variable intra- and extracellular environments. supp Click here to view.(4.2M, pdf) Acknowledgments We thank B. Budnik, J. Neveu, and R. Robinson for assistance with mass spectrometry; T. Mori and C. Johnson for SDS-PAGE conditions for phosphoform separation; J. Ferrell for helpful discussions; and B. Stern, R. Losick, M. Ebert, S. Douglas and T. Schmidt for comments on the manuscript. This work was supported by an NSF Graduate Research Fellowship (J.S.M.), NSF grant DMR-0229243 (D.S.F.), and the HHMI (E.K.O.). References and Notes 1. Harmer SL, Panda S, Kay SA. Annu. Rev. Cell Dev. Biol. 2001;17:215. [PubMed] 2. Tomita J, Nakajima M, Kondo T, Iwasaki H. Science. 2005;307:251. [PubMed] 3. Nakajima M, et al. Science. 2005;308:414. [PubMed] 4. Mori T, et al. Proc. Natl. Acad. Sci. U.S.A. 2002;99:17203. [PubMed] 5. Nishiwaki T, Iwasaki H, Ishiura M, Kondo T. Proc. Natl. Acad. Sci. U.S.A. 2000;97:495. [PubMed] 6. Xu Y, Mori T, Johnson CH. EMBO J. 2003;22:2117. [PubMed] 7. Nishiwaki T, et al. Proc. Natl. Acad. Sci. U.S.A. 2004;101:13927. [PubMed] 8. Xu Y, et al. Proc. Natl. Acad. Sci. U.S.A. 2004;101:13933. [PubMed] 9. Kageyama H, et al. Mol. Cell. 2006;23:161. [PubMed] 10. Ye S, Vakonakis I, Ioerger TR, LiWang AC, Sacchettini JC. J. Biol. Chem. 2004;279:20511. [PubMed] 11. Iwasaki H, Nishiwaki T, Kitayama Y, Nakajima M, Kondo T. Proc. Natl. Acad. Sci. U.S.A. 2002;99:15788. [PubMed] 12. Williams SB, Vakonakis I, Golden SS, LiWang AC. Proc. Natl. Acad. Sci. U.S.A. 2002;99:15357. [PubMed] 13. Kitayama Y, Iwasaki H, Nishiwaki T, Kondo T. EMBO J. 2003;22:2127. [PubMed] 14. Iwasaki H, Taniguchi Y, Ishiura M, Kondo T. EMBO J. 1999;18:1137. [PubMed] 15. Kageyama H, Kondo T, Iwasaki H. J. Biol. Chem. 2003;278:2388. [PubMed] 16. Clodong S, et al. Mol. Syst. Biol. 2007;3:90. [PubMed] 17. Emberly E, Wingreen NS. Phys. Rev. Lett. 2006;96:038303. [PubMed] 18. Kurosawa G, Aihara K, Iwasa Y. Biophys. J. 2006;91:2015. [PubMed] 19. Mehra A, et al. PLoS Comput. Biol. 2006;2:e96. [PubMed] 20. Miyoshi F, Nakayama Y, Kaizu K, Iwasaki H, Tomita M. J. Biol. Rhythms. 2007;22:69. [PubMed] 21. Mori T, et al. PLoS Biol. 2007;5:e93. [PubMed] 22. Takigawa-Imamura H, Mochizuki A. J. Biol. Rhythms. 2006;21:405. [PubMed] 23. van Zon JS, Lubensky DK, Altena PR, ten Wolde PR. Proc. Natl. Acad. Sci. U.S.A. 2007;104:7420. [PubMed] 24. Yoda M, Eguchi K, Terada TP, Sasai M. PLoS ONE. 2007;2:e408. [PubMed] 25. Pattanayek R, et al. Mol. Cell. 2004;15:375. [PubMed] 26. Nishiwaki T, et al. EMBO J. 2007;26:4029. [PubMed] 27. Mihalcescu I, Hsing W, Leibler S. Nature. 2004;430:81. [PubMed] 28. Materials and methods are available as supporting material on Science Online. |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||
Annu Rev Cell Dev Biol. 2001; 17():215-53.
[Annu Rev Cell Dev Biol. 2001]Science. 2005 Jan 14; 307(5707):251-4.
[Science. 2005]Science. 2005 Apr 15; 308(5720):414-5.
[Science. 2005]Proc Natl Acad Sci U S A. 2002 Dec 24; 99(26):17203-8.
[Proc Natl Acad Sci U S A. 2002]Proc Natl Acad Sci U S A. 2000 Jan 4; 97(1):495-9.
[Proc Natl Acad Sci U S A. 2000]EMBO J. 2003 May 1; 22(9):2117-26.
[EMBO J. 2003]Proc Natl Acad Sci U S A. 2004 Sep 21; 101(38):13927-32.
[Proc Natl Acad Sci U S A. 2004]Proc Natl Acad Sci U S A. 2004 Sep 21; 101(38):13933-8.
[Proc Natl Acad Sci U S A. 2004]Proc Natl Acad Sci U S A. 2002 Nov 26; 99(24):15788-93.
[Proc Natl Acad Sci U S A. 2002]Mol Syst Biol. 2007; 3():90.
[Mol Syst Biol. 2007]PLoS One. 2007 May 2; 2(5):e408.
[PLoS One. 2007]Biophys J. 2006 Sep 15; 91(6):2015-23.
[Biophys J. 2006]J Biol Rhythms. 2007 Feb; 22(1):69-80.
[J Biol Rhythms. 2007]Proc Natl Acad Sci U S A. 2004 Sep 21; 101(38):13927-32.
[Proc Natl Acad Sci U S A. 2004]Proc Natl Acad Sci U S A. 2004 Sep 21; 101(38):13933-8.
[Proc Natl Acad Sci U S A. 2004]Proc Natl Acad Sci U S A. 2002 Nov 26; 99(24):15788-93.
[Proc Natl Acad Sci U S A. 2002]EMBO J. 2003 May 1; 22(9):2117-26.
[EMBO J. 2003]Mol Cell. 2006 Jul 21; 23(2):161-71.
[Mol Cell. 2006]PLoS Biol. 2007 Apr; 5(4):e93.
[PLoS Biol. 2007]Proc Natl Acad Sci U S A. 2007 May 1; 104(18):7420-5.
[Proc Natl Acad Sci U S A. 2007]Mol Cell. 2006 Jul 21; 23(2):161-71.
[Mol Cell. 2006]Mol Cell. 2004 Aug 13; 15(3):375-88.
[Mol Cell. 2004]Mol Cell. 2006 Jul 21; 23(2):161-71.
[Mol Cell. 2006]Proc Natl Acad Sci U S A. 2002 Dec 24; 99(26):17203-8.
[Proc Natl Acad Sci U S A. 2002]Mol Cell. 2006 Jul 21; 23(2):161-71.
[Mol Cell. 2006]EMBO J. 2007 Sep 5; 26(17):4029-37.
[EMBO J. 2007]Nature. 2004 Jul 1; 430(6995):81-5.
[Nature. 2004]