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Microbial dormancy and boom-and-bust population dynamics under starvation stress

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  • Fowler, A.C.
  • Winstanley, H.F.

Abstract

We propose a model for the growth of microbial populations in the presence of a rate-limiting nutrient which accounts for the switching of cells to a dormant phase at low densities in response to decreasing concentration of a putative biochemical signal. We then show that in conditions of nutrient starvation, self-sustained oscillations can occur, thus providing a natural explanation for such phenomena as plankton blooms. However, unlike results of previous studies, the microbial population minima do not become unrealistically small, being buffered during minima by an increased dormant phase population. We also show that this allows microbes to survive in extreme environments for very long periods, consistent with observation. The mechanism provides a natural vehicle for other such sporadic outbreaks, such as viral epidemics.

Suggested Citation

  • Fowler, A.C. & Winstanley, H.F., 2018. "Microbial dormancy and boom-and-bust population dynamics under starvation stress," Theoretical Population Biology, Elsevier, vol. 120(C), pages 114-120.
    • Handle: RePEc:eee:thpobi:v:120:y:2018:i:c:p:114-120
    DOI: 10.1016/j.tpb.2018.02.001
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    References listed on IDEAS

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    1. Campillo, F. & Lobry, C., 2012. "Effect of population size in a predator–prey model," Ecological Modelling, Elsevier, vol. 246(C), pages 1-10.
    2. Stolpovsky, Konstantin & Martinez-Lavanchy, Paula & Heipieper, Hermann J. & Van Cappellen, Philippe & Thullner, Martin, 2011. "Incorporating dormancy in dynamic microbial community models," Ecological Modelling, Elsevier, vol. 222(17), pages 3092-3102.
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    Cited by:

    1. Chapwanya, Michael & Dumani, Phindile, 2023. "Stationary and oscillatory patterns in microbial population under environmental stress," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 210(C), pages 370-383.
    2. Chapwanya, Michael & Dumani, Phindile, 2023. "Spatio-temporal dynamics of microbial population under nutrient-limiting conditions," Applied Mathematics and Computation, Elsevier, vol. 456(C).

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