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Updated: May 3, 2026

The Use of Chemostats in Microbial Systems Biology
Published on: October 14, 2013
Different levels of catabolite repression optimize growth in stable and variable environments
Aaron M New1, Bram Cerulus1, Sander K Govers1
1VIB Laboratory of Systems Biology, Leuven, Belgium ; CMPG Laboratory of Genetics and Genomics, KU Leuven, Leuven, Belgium.
Yeast adapt to changing carbon sources through gene expression reprogramming. Different strains exhibit distinct strategies, with some rapidly adapting and others showing slower responses, highlighting how environmental variability shapes evolutionary trade-offs in metabolic regulation.
Area of Science:
- Microbiology
- Genetics
- Evolutionary Biology
Background:
- Organisms adapt to environmental shifts by altering gene expression.
- Transcriptional reprogramming is time- and energy-consuming, potentially causing maladaptation.
- Understanding adaptation dynamics is crucial for predicting organismal responses to environmental change.
Purpose of the Study:
- Investigate transcriptional reprogramming and fitness dynamics in Saccharomyces cerevisiae under changing carbon environments.
- Analyze how environmental variability influences carbon catabolite repression strategies.
- Identify genetic underpinnings of distinct adaptation strategies.
Main Methods:
- Population and single-cell analyses of yeast growth and gene expression.
- Evolutionary experiments with varying carbon source frequencies and durations.
- Whole-genome sequencing of evolved mutants.
Main Results:
- Observed heterogeneity in yeast strain adaptation speed and uniformity.
- Evolved mutants demonstrated distinct "specialist" and "generalist" carbon catabolite repression strategies.
- Mutations in regulatory genes (e.g., HXK2, STD1) altered metabolic gene regulation and transcriptional noise, enabling stochastic sensing.
Conclusions:
- Environmental stability versus variability favors different transcriptional reprogramming and growth strategies.
- Specialist strategies optimize growth in stable environments but are slow to adapt.
- Generalist strategies offer faster adaptation but reduce fitness in stable, glucose-rich conditions.
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