Mathematical Modeling of Early Embryonic Cell Cycles of Drosophila melanogaster
Meskerem Abebaw Mebratie, Benedikt Drebes, Katja Kapp, Arno Müller, Werner M. Seiler
TLDR
This paper presents a mathematical model of Drosophila embryonic cell cycles, hypothesizing that CycB synthesis drives the observed period lengthening.
Key contributions
- Developed a biochemically sound mathematical model for Drosophila embryonic cell cycles.
- Identified a parameter region where the model exhibits robust oscillations.
- Hypothesized that time-dependent CycB synthesis explains cell cycle period lengthening.
- Numerical simulations support the hypothesis, matching experimental observations.
Why it matters
Understanding early embryonic cell cycles is crucial for developmental biology. This model provides a rigorous framework to explain the observed period lengthening in Drosophila, offering new insights into the underlying biochemical mechanisms. It could inform future experimental studies on cell cycle regulation.
Original Abstract
In the early stages of development, Drosophila melanogaster embryos possess very fast and well-coordinated cell cycles. In the cell cycle, CDK activity is essentially regulated by binding CDK and CycB to form an active complex and by phosphorylating CDK via CDC25 and dephosphorylating it via Wee1. We develop a mathematical model for the embryonic cell cycle which is biochemically sound and which can be rigorously analysed after a model reduction. We show that there exists a region in the parameter space where the model describes oscillations. We then focus on the role of two parameters: the CycB synthesis and the activation coefficient of APC. Our main biological hypothesis is that the first one is responsible for the period lengthening over the first 14 cycles which can be experimentally observed and this hypothesis is supported by numerical simulations of our model: if the CycB synthesis is made time-dependent with a prescribed dynamics, then our simulations show qualitatively a very similar behavior to experimental data reported in the literature.
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