Modeling the influence of metabolic trade-offs on microbiota diversity
· Invited
Abstract
Metagenomics has revealed huge diversity in nature, with thousands of microbial species coexisting in microbiota. However, classical resource-competition models predict that the number of species in steady coexistence cannot exceed the number of resources. To investigate the role of environmental conditioning and trade-offs in promoting diversity, we physically modeled the population dynamics of microbes that compete for resources in a chemostat. The model reproduces several notable features of natural ecosystems, including high diversity, keystone species, and characteristics of neutral theory, despite an underlying non-neutral competition for resources. Do metabolic trade-offs still promote diversity if nutrient supplies vary in time or if populations are spatially structured? The answer is yes in both cases. Serial dilutions preserve diversity, but with a surprising non-monotonic dependence on nutrient supply. Spatial structure selects one diverse solution, rather than a degenerate set. Importantly, we find that temporal or spatial variation permit diversity even when trade-offs are only approximate.
*This work was supported in part by the National Institutes of Health Grant R01 GM082938 and in part by the National Science Foundation, through the Center for the Physics of Biological Function (PHY-1734030).
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Presenters
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Ned Wingreen
- Lewis-Sigler Institute for Integrative Genomics, Princeton University
- Princeton University
- Department of Molecular Biology, Princeton University
- Department of Molecular Biology and Lewis-Sigler Institute for Integrative Genomics, Princeton University