Related Experiment Video
Updated: Jul 29, 2025

12:29
Population and Single-Cell Analysis of Antibiotic Persistence in Escherichia coli
Published on: March 24, 2023
2.0K
Controlling the Mean Time to Extinction in Populations of Bacteria
Bhumika Thakur1, Hildegard Meyer-Ortmanns1,2
1School of Science, Constructor University, 28759 Bremen, Germany.
Entropy (Basel, Switzerland)
|May 27, 2023
Summary
Environmental changes and population dynamics impact bacterial extinction times. We found that extinction time depends non-monotonically on environmental change frequency, allowing control over population persistence.
Area of Science:
- Ecology
- Population Dynamics
- Theoretical Biology
Background:
- Ecological populations experience demographic fluctuations (births/deaths) and environmental changes.
- Understanding factors influencing population extinction is crucial in ecological studies.
Purpose of the Study:
- To analyze the impact of demographic fluctuations and environmental changes on the mean time to extinction for bacterial populations with two phenotypes.
- To explore the relationship between environmental change frequency and mean extinction time.
Main Methods:
- Gillespie simulations were employed to model population dynamics.
- The WKB approach was applied to classical stochastic systems in limiting cases.
Main Results:
- A non-monotonic dependence of the mean time to extinction on the frequency of environmental changes was observed.
- Dependencies on other system parameters were also investigated.
Conclusions:
- The mean time to extinction can be controlled by adjusting environmental change frequency and other system parameters.
- This control is relevant for managing bacterial populations, whether to promote or prevent their extinction, depending on ecological or host-organism perspectives.
Keywords:
Gillespie simulationsWKB approachdemographic noisedichotomous Markov processenvironmental fluctuationsmean time to extinctionnormals and persisterspopulation dynamicsMore Related Videos
Related Concept Videos
Generation Time
102
Bacterial generation time, the period required for a bacterial population to double during its exponential growth phase, serves as a critical measure of microbial growth dynamics under optimal conditions. This parameter varies significantly across bacterial species and can be influenced by factors such as temperature, pH, and the availability of nutrients. For example, Escherichia coli can achieve a generation time of approximately 20 minutes, while Mycobacterium tuberculosis exhibits a much...
102
Biological Methods for Microbial Control
145
Biological agents offer an effective means of controlling microbial growth by leveraging natural processes like predation, competition, and the secretion of antimicrobial substances.Predatory bacteria such as Bdellovibrio species target and kill pathogens like Salmonella and E. coli. They are widely used in poultry farms to control infections. Myxococcus species help combat plant-pathogenic fungi. These naturally occurring predators serve as eco-friendly alternatives to chemical pesticides and...
145
Physical Methods for Controlling Microbial Growth: Temperature
151
Heat is a widely used method to control microbial growth by targeting and denaturing cellular proteins, thereby killing or inactivating microbes. This method's effectiveness is quantified using parameters such as the thermal death point (TDP), thermal death time (TDT), and decimal reduction time (D value). TDP represents the lowest temperature at which all microorganisms in a liquid suspension are eliminated within 10 minutes, whereas TDT is the time necessary to achieve sterilization at a...
151
Bacterial Growth Curve
120
The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
120
Antimicrobial Effectiveness
98
The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
98
Methods for Controlling Microbial Growth
173
Microbial growth control refers to various methods employed to inhibit, reduce, or eliminate microorganisms to ensure safety and hygiene across different settings. These methods are categorized based on the target environment and the level of microbial control required.Biocides are versatile agents designed to control microorganisms by either inhibiting their growth or outright killing them. These agents work through various physical, chemical, mechanical, or biological mechanisms. The...
173

