The Channelled Substrate: Physical Constraints on Biological Variation

Read full text
Authors: Shantanu S. Goel
Cited by: 0

Abstract

Recent advances in evolutionary biology increasingly recognize the role of biophysical determinism alongside historical contingency in shaping genomic variation (e.g., Starr et al. 2017). Building on this momentum, I propose 'Constraint-Governed Variation', a theoretical framework arguing that immutable physical laws—thermodynamics, gravity, and fluid dynamics—fundamentally structure the accessible probability space of evolution, biasing genomic outcomes toward predictable attractors. I synthesize evidence across biological scales to demonstrate physics as a pervasive constraint shaping complexity. First, I review thermodynamic constraints, demonstrating that mutations exhibit predictable physicochemical signatures. Empirical data suggest a boundary constraint: short lifespans permit volatile genomes, while extreme longevity correlates with buffered, expanded non-coding architectures. Second, biomechanical constraints are examined. The energetic demands of powered flight impose a strict upper limit on genome size in volant vertebrates, whereas terrestrial plants, constrained by soil interface physics and hydraulic buffering, exhibit massive genomic expansion. Third, I frame complex innate behaviours (e.g., migration) and adaptation to anthropogenic niches as the deterministic navigation of physical fields and thermodynamic gradients. I conclude that evolutionary convergence is often the result of unrelated species solving identical physical equations. By integrating physics into evolutionary theory, I argue variation is a structured physical process where mutational pathways are chemically channelled by universal laws, a macro-evolutionary pattern warranting further testing via phylogenetically controlled models.

Fields of Study & Subjects

Evolution and Genetic Dynamics Philosophy and History of Science Evolution and Paleontology Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN
Document type
Preprint