Antagonism between killer yeast strains as an experimental model for biological nucleation dynamics
Abstract
Antagonistic interactions are widespread in the microbial world and affect microbial evolutionary dynamics. Natural microbial communities often display spatial structure, which affects biological interactions, but much of what we know about microbial warfare comes from laboratory studies of well-mixed communities. To overcome this limitation, we manipulated two killer strains of the budding yeast Saccharomyces cerevisiae, expressing different toxins, to independently control the rate at which they released their toxins. We developed mathematical models that predict the experimental dynamics of competition between toxin-producing strains in both well-mixed and spatially structured populations. In both situations, we experimentally verified theory's prediction that a stronger antagonist can invade a weaker one only if the initial invading population exceeds a critical frequency or size. Finally, we found that toxin-resistant cells and weaker killers arose in spatially structured competitions between toxin-producing strains, suggesting that adaptive evolution can affect the outcome of microbial antagonism in spatial settings.
Data availability
All data are included in the manuscript and supporting files. All source code that generated figures and numerical results has been uploaded on GitHub at the URL: https://github.com/andreagiometto/Giometto_Nelson_Murray_2020. Source data files have been provided for all Figures displaying data.
Article and author information
Author details
Funding
Swiss National Science Foundation (P2ELP2_168498)
- Andrea Giometto
Swiss National Science Foundation (P400PB_180823)
- Andrea Giometto
Human Frontier Science Program (RGP0041/2014)
- David R Nelson
- Andrew W Murray
National Science Foundation (1764269)
- Andrew W Murray
Simons Foundation (594596)
- Andrew W Murray
National Science Foundation (DMR1608501)
- David R Nelson
Harvard Materials Science Research and Engineering Center (DMR-2011754)
- David R Nelson
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2021, Giometto et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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