Alternative stable states, nonlinear behavior, and predictability of microbiome dynamics.

ABSTRACT:

Background

Microbiome dynamics are both crucial indicators and potential drivers of human health, agricultural output, and industrial bio-applications. However, predicting microbiome dynamics is notoriously difficult because communities often show abrupt structural changes, such as "dysbiosis" in human microbiomes.

Methods

We integrated theoretical frameworks and empirical analyses with the aim of anticipating drastic shifts of microbial communities. We monitored 48 experimental microbiomes for 110 days and observed that various community-level events, including collapse and gradual compositional changes, occurred according to a defined set of environmental conditions. We analyzed the time-series data based on statistical physics and non-linear mechanics to describe the char

SUBMITTER: Fujita H 

PROVIDER: S-EPMC10052866 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature