The Fitness Value of Information with Delayed Phenotype Switching: Optimal Performance with Imperfect Sensing
Autor: | Nigel Wallbridge, Alexander S. Moffett, Carrol Plummer, Andrew W. Eckford |
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Rok vydání: | 2020 |
Předmět: |
Steady state (electronics)
Computer science Populations and Evolution (q-bio.PE) Robustness (evolution) Sensory system Critical value 01 natural sciences 010305 fluids & plasmas Value of information Control theory FOS: Biological sciences 0103 physical sciences 010306 general physics Quantitative Biology - Populations and Evolution Value (mathematics) Sensory cue Organism |
DOI: | 10.48550/arxiv.2009.00058 |
Popis: | The ability of organisms to accurately sense their environment and respond accordingly is critical for evolutionary success. However, exactly how the sensory ability influences fitness is a topic of active research, while the necessity of a time delay between when unreliable environmental cues are sensed and when organisms can mount a response has yet to be explored at any length. Accounting for this delay in phenotype response in models of population growth, we find that a critical error probability can exist under certain environmental conditions: an organism with a sensory system with any error probability less than the critical value can achieve the same long-term growth rate as an organism with a perfect sensing system. We also observe a trade off between the evolutionary value of sensory information and robustness to error, mediated by the rate at which the phenotype distribution relaxes to steady-state. The existence of the critical error probability could have several important evolutionary consequences, primarily that sensory systems operating at the non-zero critical error probability may be evolutionarily optimal. Comment: Accepted for publication in Physical Review E |
Databáze: | OpenAIRE |
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