Spatial Structure in Microbial Competition Models
ORAL
Abstract
Understanding the structure and behavior of diverse microbial communities is currently a major challenge in the life sciences. The interactions shaping these communities are physical processes, but are often modeled in a mean-field limit that neglects spatial structure. How does spatial structure affect the community-level properties of microbial ecosystems? We have developed a spatial model of two fundamental interactions between microbes: competition for resources and “chemical warfare” via secreted antibiotics. Our group recently showed that a metabolic trade-off constraint in a non-spatial model allows for degenerate steady states with diverse coexisting species. We find that 1D space preserves diversity, but selects a unique steady-state abundance and introduces a new dynamical time scale for relaxation to this steady state. The new time scale characterizes a regime where population dynamics slow down as resource diffusion speeds up. Interestingly, population fluctuations lead to rank-abundance curves that are indistinguishable from neutral and non-spatial models, suggesting a surprising universality at the ecosystem level.
*We acknowledge the NSF and Princeton LSI for funding.
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Presenters
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Benjamin Weiner
- Princeton University