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| Funder | European Commission |
|---|---|
| Recipient Organization | University College London |
| Country | United Kingdom |
| Start Date | Oct 01, 2021 |
| End Date | Sep 30, 2023 |
| Duration | 729 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101025821 |
Gaseous mediators are ubiquitous in biology.
For example, hydrogen sulfide (H2S) signalling leads to cardioprotective effects in humans and is believed to be beneficial for the mammalian gut microbiome. However, gaseous mediators in microbiology are under-explored because quantification of volatiles is challenging.
Here, I will investigate how the volatile metabolite H2S can mediate cell-cell interactions and trigger a hitherto unknown sulfur metabolism pathway in Saccharomyces cerevisiae.
Conventionally, Met17 is believed to be the only enzyme that can assimilate H2S (generated from inorganic sulfate) into organic compounds, and hence essential for growth on inorganic sulfur sources.
However, I observed that the met17 deletion mutant can in fact grow on inorganic sulfate, albeit only at sufficiently high initial cell densities.
My preliminary analyses suggest that H2S accumulates in met17- cultures, and when it reaches a threshold, enables cell growth by triggering an alternative sulfur metabolism pathway.
In this proposal, I will 1) quantitatively understand how the alternative pathway responds to H2S by developing a mathematical model of density-dependent growth in met17- populations; 2) uncover the novel sulfur metabolism pathway in yeast by using transcriptomics and genetics; and 3) investigate the contribution of this H2S-responsive pathway to the fitness of wildtype yeast using population dynamics analyses.
My research will not only offer mechanistic insights into how hidden aspects of yeast sulfur metabolism may contribute to cell-cell interactions and fitness, but also provide quantitative tools for studying gas-mediated microbial interactions from an interdisciplinary perspective.
Finally, the project will extensively train me in the synergistic interplay between experiments and mathematical modelling — a style I hope to establish in my future, independent research.
University College London
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