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Updated: May 11, 2026

Use of Time-Lapse Microscopy and Stage-Specific Nuclear Depletion of Proteins to Study Meiosis in S. cerevisiae
Published on: October 11, 2022
Dynamic modeling of yeast meiotic initiation
Debjit Ray1, Yongchun Su, Ping Ye
1School of Molecular Biosciences, Washington State University, PO Box 647520, Pullman, WA 99164, USA.
Background:
Meiosis is the sexual reproduction process common to eukaryotes. The diploid yeast Saccharomyces cerevisiae undergoes meiosis in sporulation medium to form four haploid spores. Initiation of the process is tightly controlled by intricate networks of positive and negative feedback loops. Intriguingly, expression of early meiotic proteins occurs within a narrow time window. Further, sporulation efficiency is strikingly different for yeast strains with distinct mutations or genetic backgrounds. To investigate signal transduction pathways that regulate transient protein expression and sporulation efficiency, we develop a mathematical model using ordinary differential equations. The model describes early meiotic events, particularly feedback mechanisms at the system level and phosphorylation of signaling molecules for regulating protein activities.
Results:
The mathematical model is capable of simulating the orderly and transient dynamics of meiotic proteins including Ime1, the master regulator of meiotic initiation, and Ime2, a kinase encoded by an early gene. The model is validated by quantitative sporulation phenotypes of single-gene knockouts. Thus, we can use the model to make novel predictions on the cooperation between proteins in the signaling pathway. Virtual perturbations on feedback loops suggest that both positive and negative feedback loops are required to terminate expression of early meiotic proteins. Bifurcation analyses on feedback loops indicate that multiple feedback loops are coordinated to modulate sporulation efficiency. In particular, positive auto-regulation of Ime2 produces a bistable system with a normal meiotic state and a more efficient meiotic state.
Conclusions:
By systematically scanning through feedback loops in the mathematical model, we demonstrate that, in yeast, the decisions to terminate protein expression and to sporulate at different efficiencies stem from feedback signals toward the master regulator Ime1 and the early meiotic protein Ime2. We argue that the architecture of meiotic initiation pathway generates a robust mechanism that assures a rapid and complete transition into meiosis. This type of systems-level regulation is a commonly used mechanism controlling developmental programs in yeast and other organisms. Our mathematical model uncovers key regulations that can be manipulated to enhance sporulation efficiency, an important first step in the development of new strategies for producing gametes with high quality and quantity.
Insights
Mathematical modeling of yeast meiosis reveals that feedback loops controlling key proteins like Ime1 and Ime2 are crucial for regulating sporulation efficiency and ensuring rapid transition into meiosis.
Area of Science:
- * Molecular and Systems Biology
- * Eukaryotic Cell Cycle Regulation
- * Mathematical Modeling in Biology
Background:
- * Meiosis, essential for sexual reproduction in eukaryotes, involves intricate feedback networks controlling gene expression.
- * The yeast Saccharomyces cerevisiae initiates meiosis via a tightly regulated process with transient expression of early meiotic proteins.
- * Sporulation efficiency varies significantly across different yeast genetic backgrounds, highlighting the complexity of regulatory pathways.
Purpose of the Study:
- * To develop a mathematical model simulating early meiotic events in yeast.
- * To investigate the role of signal transduction pathways, feedback mechanisms, and protein phosphorylation in regulating meiotic protein dynamics and sporulation efficiency.
- * To understand how system-level feedback controls transient protein expression and influences sporulation outcomes.
Main Methods:
- * Development of a mathematical model using ordinary differential equations to describe early meiotic events in Saccharomyces cerevisiae.
- * Simulation of the dynamics of key meiotic proteins, including the master regulator Ime1 and the kinase Ime2.
- * Validation of the model using quantitative sporulation phenotypes from single-gene knockout yeast strains.
Main Results:
- * The model accurately simulates the transient dynamics of meiotic proteins like Ime1 and Ime2.
- * Both positive and negative feedback loops are essential for terminating early meiotic protein expression.
- * Coordinated feedback loops modulate sporulation efficiency, with Ime2 auto-regulation creating a bistable system for enhanced meiotic states.
Conclusions:
- * Feedback signals to Ime1 and Ime2 are critical for terminating protein expression and determining yeast sporulation efficiency.
- * The meiotic initiation pathway's architecture ensures a robust, rapid, and complete transition into meiosis.
- * The mathematical model identifies regulatory targets for enhancing sporulation efficiency, potentially improving gamete production strategies.
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