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Spontaneous Processes: Dispersal of Matter and Energy
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Optimality of the spontaneous prophage induction rate
Michael G Cortes1, Jonathan Krog2, Gábor Balázsi3
1Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Journal of Theoretical Biology
|September 17, 2019
Summary
Spontaneous prophage induction (SPI) can benefit lysogenic bacteria by enabling them to outcompete nonlysogens. An optimal SPI rate exists, even at low cell densities, providing a competitive advantage.
Area of Science:
- Microbiology
- Evolutionary Biology
- Genetics
Background:
- Lysogens are bacteria harboring integrated bacteriophage DNA (prophage).
- Prophages can influence host phenotype and trigger the lytic cycle via spontaneous prophage induction (SPI).
- SPI releases new phages that can lyse or lysogenize nonlysogenic competitors.
Purpose of the Study:
- To investigate the evolutionary dynamics between lysogens and nonlysogens.
- To determine conditions under which SPI benefits lysogens in competition.
- To identify an optimal SPI rate for bacteriophage lambda.
Main Methods:
- Mathematical modeling of bacterial population dynamics.
- Derivation of general conditions for lysogen displacement of nonlysogens.
- Analysis of the impact of stochasticity on SPI advantage.
Main Results:
- An optimal SPI rate was identified for bacteriophage lambda, explaining its typically low rate.
- SPI can provide a competitive advantage to lysogens, even at low population densities.
- Theoretical bounds for SPI rates were established based on ecological factors.
Conclusions:
- SPI plays a crucial role in the ecological competition between lysogens and nonlysogens.
- The study provides theoretical support for experimental observations on SPI rates.
- Optimal SPI rates are influenced by environmental and ecological variables.
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