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Evolution of phenotypic fluctuation under host-parasite interactions.
Naoto Nishiura1, Kunihiko Kaneko1,2
1Department of Basic Science, Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan.
Plos Computational Biology
|November 9, 2021
Summary
In host-parasite interactions, hosts evolve increased phenotypic variance to escape attacks. This variance can increase through genetic diversification or noise-induced fluctuations, depending on gene expression noise levels.
Area of Science:
- Evolutionary Biology
- Systems Biology
- Genetics
Background:
- Biological systems require robustness and plasticity to adapt to environmental variability.
- Phenotypic variance is linked to robustness and plasticity, typically decreasing with increased robustness.
- Inter-species interactions, like host-parasite dynamics, are key environmental factors influencing phenotypic evolution.
Purpose of the Study:
- To investigate how host-parasite interactions drive the evolution of phenotypic variance and the genotype-phenotype map.
- To explore the mechanisms by which phenotypic fluctuation is maintained or increased in response to parasitic pressure.
Main Methods:
- A dynamic gene expression model for host-parasite systems was employed.
- The study analyzed the evolution of the genotype-phenotype map and phenotypic variances.
- Simulations examined the impact of interaction strength and gene expression noise thresholds.
Main Results:
- Weak host-parasite interactions favor host phenotypes with reduced variance for robustness.
- Strong interactions promote increased host phenotypic variance to evade parasite detection.
- Two strategies for increasing variance were identified: genetic diversification and noise-induced fluctuation, dependent on noise levels.
Conclusions:
- Host-parasite interactions can override the general trend of decreasing phenotypic variance.
- Gene expression noise and genetic mutations play crucial roles in the evolution of phenotypic fluctuation and robustness.
- A trade-off exists between increased phenotypic variance and host growth rate.
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