Click here to close
Hello! We notice that you are using Internet Explorer, which is not supported by Xenbase and may cause the site to display incorrectly.
We suggest using a current version of Chrome,
FireFox, or Safari.
Does the potential for chaos constrain the embryonic cell-cycle oscillator?
McIsaac RS, Huang KC, Sengupta A, Wingreen NS.
???displayArticle.abstract???
Although many of the core components of the embryonic cell-cycle network have been elucidated, the question of how embryos achieve robust, synchronous cellular divisions post-fertilization remains unexplored. What are the different schemes that could be implemented by the embryo to achieve synchronization? By extending a cell-cycle model previously developed for embryos of the frog Xenopus laevis to include the spatial dimensions of the embryo, we establish a novel role for the rapid, fertilization-initiated calcium wave that triggers cell-cycle oscillations. Specifically, in our simulations a fast calcium wave results in synchronized cell cycles, while a slow wave results in full-blown spatio-temporal chaos. We show that such chaos would ultimately lead to an unpredictable patchwork of cell divisions across the embryo. Given this potential for chaos, our results indicate a novel design principle whereby the fast calcium-wave trigger following embryo fertilization synchronizes cell divisions.
Figure 1. Diffusive spread of cell-cycle activity.(A) The cell-cycle is driven by a combination of positive and negative feedback loops, which modulate Cdk1 activity through phosphorylation/dephosphorylation. (B) 3.33-hour simulation where cell-cycle activity spreads across a mm embryo. In the spreading model, oscillations initially occur in only of the embryo (i.e., APC is initially assumed to be active only between and mm in a 1 mm long embryo). Through diffusion, oscillations are able to spread across the embryo via local activation of APC once a local critical threshold of overall Cdk1 activity is reached. Each species is initially at its pre-fertilization concentration, with the activity threshold chosen to be when Cyclin B-Cdk1-Tp reaches 4× its initial value. The species plotted in the top panel is Cyclin B-Cdk1 (active) and that plotted in the bottom panel is Cyclin B-Cdk1-YpTp (inactive). In the inactive complex, Cdk1 is phosphorylated at both Threonine-14 and Tyrosine-15.
Figure 2. Modeling the cell-cycle in developing embryos.(A) Schematic of early development. Across species, fertilization results in a fast calcium wave that sweeps across the embryo. In X . laevis, the result is the destruction of CSF, the consequent restoration of APC-mediated negative feedback, and the subsequent initiation of synchronous nuclear divisions. (B,C) Cell-cycle simulations for spherical embryos with diameters of 1 mm. The fast and slow calcium waves have speeds of 0.36 and 0.125 mm/min, respectively. The number of mitotic divisions that occur in 8 hours along the black lines in the first panel are shown at right.
Figure 3. Cell-cycle equations exhibit chaotic behavior with extreme sensitivity to initial conditions.(A) Simulations with two different calcium wave speeds in 1 mm embryos, with colormap showing the concentration of doubly phosphorylated Cyclin B - Cdk1 complex. Simulation cell is 1D with no flux boundary conditions. (B) Simulation in a large (6 mm) 1D embryo with periodic boundary conditions. (C) The space-time correlation function is computed using the mean-centered values in (B) between min. and min. (inset) The correlation length is computed to be mm at .
Figure 4. Sensitivity analysis of cell-cycle equations.(A–D) The critical calcium wave speed, , and the period, , are computed for different values of the (A) embryo length, (B) protein diffusion constant, (C) rate of cyclin synthesis , and (D) rate of APC activity .
Figure 5. Cell-cycle simulations with cellularization.The embryo is a 1 mm diameter sphere and the calcium wave speed is 1 mm/4 min4.17 m/s. Mitotic divisions are taken when Cyclin B-Cdk1-YpTp reaches half its concentration for uniform oscillations, and are modeled by a no-flux boundary dividing a cell into two equal volumes. By this metric, the first division occurs after 62 minutes, and each subsequent division occurs at 39.2-minute intervals. Solid diagonal lines indicate cellular divisions.
Figure 6. Cellularization does not prevent chaos for a slow Ca waveSimulations as in Fig. 5, but for a calcium wave speed of 1 mm/10 min1.67 m/s. The solid diagonals indicate at least one cell division. Following the dashed line, even when the simulation continues for longer times, the displayed portions do not divide.
Davidenko,
Stationary and drifting spiral waves of excitation in isolated cardiac muscle.
1992, Pubmed
Davidenko,
Stationary and drifting spiral waves of excitation in isolated cardiac muscle.
1992,
Pubmed Elowitz,
Protein mobility in the cytoplasm of Escherichia coli.
1999,
Pubmed Fontanilla,
Characterization of the sperm-induced calcium wave in Xenopus eggs using confocal microscopy.
1998,
Pubmed
,
Xenbase Gregor,
Stability and nuclear dynamics of the bicoid morphogen gradient.
2007,
Pubmed Gregor,
Diffusion and scaling during early embryonic pattern formation.
2005,
Pubmed Jaffe,
On the conservation of fast calcium wave speeds.
2002,
Pubmed Kalinowski,
Maintenance of meiotic prophase arrest in vertebrate oocytes by a Gs protein-mediated pathway.
2004,
Pubmed
,
Xenbase King,
A 20S complex containing CDC27 and CDC16 catalyzes the mitosis-specific conjugation of ubiquitin to cyclin B.
1995,
Pubmed
,
Xenbase Lechleiter,
Spiral calcium wave propagation and annihilation in Xenopus laevis oocytes.
1991,
Pubmed
,
Xenbase Lorca,
Calmodulin-dependent protein kinase II mediates inactivation of MPF and CSF upon fertilization of Xenopus eggs.
1993,
Pubmed
,
Xenbase Masui,
Cytoplasmic control of nuclear behavior during meiotic maturation of frog oocytes.
1971,
Pubmed Meyerhof,
Ca and Mg control of cytostatic factors from Rana pipiens oocytes which cause metaphase and cleavage arrest.
1977,
Pubmed Morgan,
Cyclin-dependent kinases: engines, clocks, and microprocessors.
1997,
Pubmed Mullineaux,
Diffusion of green fluorescent protein in three cell environments in Escherichia coli.
2006,
Pubmed Nishiyama,
Phosphorylation of Erp1 by p90rsk is required for cytostatic factor arrest in Xenopus laevis eggs.
2007,
Pubmed
,
Xenbase Novák,
Design principles of biochemical oscillators.
2008,
Pubmed Nuccitelli,
How do sperm activate eggs?
1991,
Pubmed Peters,
The anaphase-promoting complex: proteolysis in mitosis and beyond.
2002,
Pubmed Philpott,
The Xenopus cell cycle: an overview.
2008,
Pubmed
,
Xenbase Pomerening,
Systems-level dissection of the cell-cycle oscillator: bypassing positive feedback produces damped oscillations.
2005,
Pubmed
,
Xenbase Rauh,
Calcium triggers exit from meiosis II by targeting the APC/C inhibitor XErp1 for degradation.
2005,
Pubmed
,
Xenbase Reimann,
Emi1 is required for cytostatic factor arrest in vertebrate eggs.
2002,
Pubmed
,
Xenbase Sagata,
Meiotic metaphase arrest in animal oocytes: its mechanisms and biological significance.
1996,
Pubmed Schmidt,
Cytostatic factor: an activity that puts the cell cycle on hold.
2006,
Pubmed
,
Xenbase Tomchik,
Adenosine 3',5'-monophosphate waves in Dictyostelium discoideum: a demonstration by isotope dilution--fluorography.
1981,
Pubmed Tsai,
Robust, tunable biological oscillations from interlinked positive and negative feedback loops.
2008,
Pubmed
,
Xenbase Tunquist,
Under arrest: cytostatic factor (CSF)-mediated metaphase arrest in vertebrate eggs.
2003,
Pubmed
,
Xenbase Whitaker,
Ionic regulation of egg activation.
1982,
Pubmed