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Sleep as Obligate Phenotypic Switching: An Ultimate  Explanation for Temporal Niche Partitioning

Sleep as Obligate Phenotypic Switching: An Ultimate Explanation for Temporal Niche Partitioning

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Authors

Andrew Freiberg 

Abstract

Why does natural selection mandate an involuntary, internally generated state change rather than permit flexible behavioral inactivity? Existing theories explain what sleep accomplishes – synaptic homeostasis, metabolite clearance, energy conservation – but these are proximate mechanisms, not ultimate explanations: themselves products of selection, yet adaptations acquired by the sleeping state rather than reasons the state exists. Here I propose that sleep evolved as an obligate phenotypic switching mechanism enabling temporal niche partitioning within a single genome. Without enforced state transitions, natural selection would drive organisms toward a compromised generalist phenotype suboptimal for both diurnal and nocturnal environments. Niche breadth theory predicts that the predictable, high-frequency, mutually exclusive nature of day-night cycling favors obligate switching over temporal generalism. This framework situates restorative theories as derived proximate mechanisms serving the ancestral ultimate function, differs from adaptive inactivity in addressing the ultimate rather than the proximate question, and generates testable predictions confirmed by cavefish sleep loss, cross-kingdom rest–activity cycling, and the ecological scaling of sleep duration and architecture. The theory extends to all periodic biological rhythms driven by predictable environmental oscillation.

DOI

https://doi.org/10.32942/X2GX1N

Subjects

Life Sciences

Keywords

adaptive inactivity, circadian rhythm, niche breadth theory, proximate-ultimate distinction, sleep evolution

Dates

Published: 2026-10-29 15:34

Last Updated: 2026-10-29 15:34

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data and Code Availability Statement:
Not applicable

Language:
English

Metrics

Views: 24

Downloads: 3