The Fitness Value of Information with Delayed Phenotype Switching: Optimal Performance with Imperfect Sensing

Abstract

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.

Accepted for publication in Physical Review E

References in corpus (5)

• SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
• Thermodynamic costs of information processing in sensory adaption
• Thermodynamics of statistical inference by cells
• Geometry of environment-to-phenotype mapping: Unifying adaptation strategies in varying environments
• Fixation in finite populations evolving in fluctuating environments

Cited by in corpus (2)

• Minimal informational requirements for fitness
• Kelly Bets and Single-Letter Codes: Optimal Information Processing in Natural Systems