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Updated: Feb 6, 2026

Characterization and Functional Prediction of Bacteria in Ovarian Tissues

Characterization and Functional Prediction of Bacteria in Ovarian Tissues

Published on: October 23, 2021

Optimized bacteria are environmental prediction engines.

Sarah E Marzen¹, James P Crutchfield²

¹Department of Physics, Physics of Living Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Physical Review. E

|August 17, 2018

Summary

This summary is machine-generated.

Bacterial phenotypic variability, even in identical populations, may be an adaptive strategy. Epigenetic markers help bacteria predict future environments to maximize growth in fluctuating conditions.

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Area of Science:

Microbiology
Theoretical Biology
Evolutionary Biology

Background:

Phenotypic variability is observed in isogenic bacterial populations.
This variability might be an adaptive trait for survival in changing environments.

Purpose of the Study:

To explore the hypothesis that phenotypic variability in bacteria is tuned to maximize growth rate in fluctuating environments.
To investigate the role of epigenetic markers in storing environmental information and influencing phenotypic variability.

Main Methods:

Mathematical modeling of bacterial growth and epigenetic marker dynamics.
Analysis of the relationship between epigenetic markers, environmental prediction, and growth rate.
Exploration of optimal epigenetic marker strategies under resource constraints.

Main Results:

Bacterial phenotypic variability can be optimized to maximize expected log-growth rate in fluctuating environments.
Epigenetic markers provide information about past environments, influencing present phenotypic variability.
The maximal growth rate is directly proportional to the predictive information held by epigenetic markers.

Conclusions:

Phenotypic bet-hedging, mediated by epigenetic markers, is a viable strategy for bacteria in complex, memoryful environments.
Optimal epigenetic markers function as causal states or their approximations for prediction.
Further theoretical and experimental research is warranted to understand bacteria's adaptive strategies in fluctuating environments.