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Evolutionary comparison between viral lysis rate and latent period
Juan A Bonachela1, Simon A Levin1
1Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
Marine viruses impact ecosystems. Models using a fixed delay in viral infection cycles are more accurate long-term than simplified rate-based models, especially for evolutionary predictions.
Area of Science:
- Marine microbiology
- Viral ecology
- Biogeochemical cycles
Background:
- Marine viruses are crucial for microbial community structure and global biogeochemical cycles.
- Accurate modeling of viral infection cycles is essential for predicting their ecological and evolutionary roles.
- Two common models for viral infection cycles exist: one with a fixed delay and another with exponentially distributed release times (rate model).
Purpose of the Study:
- To investigate the ecological and evolutionary implications of using delay versus rate descriptions for marine virus infection cycles.
- To assess how these different modeling approaches affect long-term predictions of host-virus interactions in marine environments.
Main Methods:
- Mathematical analysis
- Eco-evolutionary computational modeling
- Comparative analysis of delay and rate models for marine microbes.
Main Results:
- The rate model shows superior competitive abilities ecologically and evolutionarily in stable environments.
- Rate-based models may inaccurately represent long-term microbe-virus dynamics.
- The choice between delay and rate models depends on trade-offs in life-history traits for accurate oceanic bacteriophage dynamics.
Conclusions:
- The simplification of viral infection cycles can significantly impact marine ecosystem model predictions, particularly for evolutionary questions.
- Further research on life-history trait trade-offs is necessary to determine the most reliable modeling approach for marine viruses.
- Accurate representation of viral infection dynamics is critical for understanding marine ecosystem functioning.
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