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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423363PMC
http://dx.doi.org/10.1126/sciadv.aba0353DOI Listing

Publication Analysis

Top Keywords

multistability hysteresis
8
microbiome states
8
microbiome
6
states
5
metabolic multistability
4
hysteresis model
4
model aerobe-anaerobe
4
aerobe-anaerobe microbiome
4
microbiome community
4
community major
4

Similar Publications

This study introduces a five-compartment model to account for the impacts of vaccination-induced recovery and nonlinear treatment rates in settings with limited hospital capacity. To reflect real-world scenarios, the model incorporates multiple reinfections in both vaccinated and recovered groups. It reveals a range of dynamics, including a disease-free equilibrium and up to six endemic equilibria.

View Article and Find Full Text PDF

Thermal-induced transitions between multistable states hold significant interest in stochastic thermodynamics and dynamical control with nanomechanical systems. Here, we study kinetic-energy-dependent over-barrier behaviors in the rotational degree of freedom of silica nanodumbells in tilted periodic potentials. In the rotational degree of freedom, nanodumbbells can undergo critical transitions between librations and rotations as the ellipticity of the trapping laser field changes.

View Article and Find Full Text PDF

We study the transition to synchronization in an ensemble of chaotic oscillators that are interacting on a star network. These oscillators possess an invariant symmetry and we study emergent behavior by introducing the timescale variations in the dynamics of the nodes and the hub. If the coupling preserves the symmetry, the ensemble exhibits consecutive explosive transitions, each one associated with a hysteresis.

View Article and Find Full Text PDF

Folding State within a Hysteresis Loop: Hidden Multistability in Nonlinear Physical Systems.

Phys Rev Lett

March 2024

School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, Arizona 85287, USA.

Identifying hidden states in nonlinear physical systems that evade direct experimental detection is important as disturbances and noises can place the system in a hidden state with detrimental consequences. We study a cavity magnonic system whose main physics is photon and magnon Kerr effects. Sweeping a bifurcation parameter in numerical experiments (as would be done in actual experiments) leads to a hysteresis loop with two distinct stable steady states, but analytic calculation gives a third folded steady state "hidden" in the loop, which gives rise to the phenomenon of hidden multistability.

View Article and Find Full Text PDF

Bifurcation analysis of multistability and hysteresis in a model of HIV infection.

Vavilovskii Zhurnal Genet Selektsii

December 2023

Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation, Moscow, Russia Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia.

The infectious disease caused by human immunodeficiency virus type 1 (HIV-1) remains a serious threat to hu- man health. The current approach to HIV-1 treatment is based on the use of highly active antiretroviral therapy, which has side effects and is costly. For clinical practice, it is highly important to create functional cures that can enhance immune control of viral growth and infection of target cells with a subsequent reduction in viral load and restoration of the immune status.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!