A Paradoxical Evolutionary Mechanism in Stochastically Switching Environments

Area of Science:

• Evolutionary biology
• Theoretical ecology
• Sensory biology

Background:

• Organisms rely on environmental sensors for survival and adaptation.
• Accurate environmental sensing is generally assumed to be advantageous for natural selection.
• Environmental stochasticity, or unpredictable change, can complicate evolutionary dynamics.

Purpose of the Study:

• To investigate the relationship between sensor accuracy and natural selection under environmental stochasticity.
• To develop a theoretical model exploring conditions where lower sensor accuracy may be favored.
• To draw parallels between the model's findings and existing paradoxes in science.

Main Methods:

• Development of a theoretical evolutionary model.
• Analysis of selection pressures under varying degrees of environmental stochasticity.
• Mathematical modeling of sensor accuracy and organismal fitness.

Main Results:

• The model demonstrates that under certain conditions of environmental stochasticity, natural selection favors less accurate environmental sensors.
• This counter-intuitive result challenges the assumption that higher accuracy is always evolutionarily superior.
• The findings suggest a complex interplay between sensor precision and environmental unpredictability.

Conclusions:

• Environmental stochasticity can invert the expected selective advantage of accurate sensory systems.
• The study highlights that optimal sensor accuracy is context-dependent and not universally maximized.
• The phenomenon observed is analogous to Parrondo's paradox, offering new insights into evolutionary game theory.