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  Stabilization of microbial communities by responsive phenotypic switching.

Haas, P. A., Gutierrez, M. A., Oliveira, N. M., & Goldstein, R. E. (2022). Stabilization of microbial communities by responsive phenotypic switching. Physical Review Research, 4(3): 033224. doi:10.1103/PhysRevResearch.4.033224.

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 Creators:
Haas, Pierre A.1, Author           
Gutierrez, Maria A.1, Author
Oliveira, Nuno M.1, Author
Goldstein, Raymond E.1, Author
Affiliations:
1Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              

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 Abstract: Clonal microbes can switch between different phenotypes and recent theoretical work has shown that stochastic switching between these subpopulations can stabilize microbial communities. This phenotypic switching need not be stochastic, however, but could also be in response to environmental factors, both biotic and abiotic. Here, motivated by the bacterial persistence phenotype, we explore the ecological effects of such responsive switching by analyzing phenotypic switching in response to competing species. We show that the stability of microbial communities with responsive switching differs generically from that of communities with stochastic switching only. To understand the mechanisms by which responsive switching stabilizes coexistence, we go on to analyze simple two-species models. Combining exact results and numerical simulations, we extend the classical stability results for the competition of two species without phenotypic variation to the case in which one species switches, stochastically and responsively, between two phenotypes. In particular, we show that responsive switching can stabilize coexistence even when stochastic switching on its own does not affect the stability of the community.

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 Dates: 2022-09-19
 Publication Status: Issued
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 Identifiers: DOI: 10.1103/PhysRevResearch.4.033224
Other: cbg-8451
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Title: Physical Review Research
  Other : Phys Rev Research
Source Genre: Journal
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Pages: - Volume / Issue: 4 (3) Sequence Number: 033224 Start / End Page: - Identifier: -