ArticlePLoS computational biology2015
Timing and Variability of Galactose Metabolic Gene Activation Depend on the Rate of Environmental Change.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- A modular cloning (MoClo) toolkit for reliable intracellular protein targeting in the yeastMicrobial cell (Graz, Austria) · 2023Article
- Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments.Frontiers in cell and developmental biology · 2023Review
- Public good-driven release of heterogeneous resources leads to genotypic diversification of an isogenic yeast population.Evolution; international journal of organic evolution · 2022Article
- Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control.Nature communications · 2021Article
- The lag-phase during diauxic growth is a trade-off between fast adaptation and high growth rate.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Modulation of gene network activity allows cells to respond to changes in environmental conditions. For example, the galactose utilization network in Saccharomyces cerevisiae is activated by the presence of galactose but repressed by glucose. If both sugars are present, the yeast will first metabolize glucose, depleting it from the extracellular environment. Upon depletion of glucose, the genes encoding galactose metabolic proteins will activate. Here, we show that the rate at which glucose levels are depleted determines the timing and variability of galactose gene activation. Paradoxically, we find that Gal1p, an enzyme needed for galactose metabolism, accumulates more quickly if glucose is depleted slowly rather than taken away quickly. Furthermore, the variability of induction times in individual cells depends non-monotonically on the rate of glucose depletion and exhibits a minimum at intermediate depletion rates. Our mathematical modeling suggests that the dynamics of the metabolic transition from glucose to galactose are responsible for the variability in galactose gene activation. These findings demonstrate that environmental dynamics can determine the phenotypic outcome at both the single-cell and population levels.
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Registered trials
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