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Metabolic multistability and hysteresis in a model aerobe-anaerobe microbiome community.


ABSTRACT: Major changes in the microbiome are associated with health and disease. Some microbiome states persist despite seemingly unfavorable conditions, such as the proliferation of aerobe-anaerobe communities in oxygen-exposed environments in wound infections or small intestinal bacterial overgrowth. Mechanisms underlying transitions into and persistence of these states remain unclear. Using two microbial taxa relevant to the human microbiome, we combine genome-scale mathematical modeling, bioreactor experiments, transcriptomics, and dynamical systems theory to show that multistability and hysteresis (MSH) is a mechanism describing the shift from an aerobe-dominated state to a resilient, paradoxically persistent aerobe-anaerobe state. We examine the impact of changing oxygen and nutrient regimes and identify changes in metabolism and gene expression that lead to MSH and associated multi-stable states. In such systems, conceptual causation-correlation connections break and MSH must be used for analysis. Using MSH to analyze microbiome dynamics will improve our conceptual understanding of stability of microbiome states and transitions between states.

SUBMITTER: Khazaei T 

PROVIDER: S-EPMC7423363 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Metabolic multistability and hysteresis in a model aerobe-anaerobe microbiome community.

Khazaei Tahmineh T   Williams Rory L RL   Bogatyrev Said R SR   Doyle John C JC   Henry Christopher S CS   Ismagilov Rustem F RF  

Science advances 20200812 33


Major changes in the microbiome are associated with health and disease. Some microbiome states persist despite seemingly unfavorable conditions, such as the proliferation of aerobe-anaerobe communities in oxygen-exposed environments in wound infections or small intestinal bacterial overgrowth. Mechanisms underlying transitions into and persistence of these states remain unclear. Using two microbial taxa relevant to the human microbiome, we combine genome-scale mathematical modeling, bioreactor e  ...[more]

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