The invariance and non-decreasing expectation of an evolutionary path characteristic under weak selection
Yun-Yun Yu, Cang Hui, Tian-Jiao Feng, Cong Li, Chao Wang, Yi Tao, Rui-Wu Wang

TL;DR
This paper introduces a new invariant measure based on the ratio of adaptive trait probabilities to neutrality, which remains non-decreasing under weak selection and genetic drift, offering a robust indicator of evolutionary progress.
Contribution
The authors derive a path integral formulation and identify a time-invariant ratio that captures the effect of selection versus drift, providing a novel measure of evolutionary change.
Findings
The ratio of adaptive trait probability to neutrality remains invariant over time.
Expected value of this ratio does not decline, unlike mean fitness.
The measure effectively distinguishes selection effects from genetic drift.
Abstract
Fisher's fundamental theorem of natural selection states that the rate of change in a population's mean fitness equals its additive genetic variance in fitness. This implies that mean fitness should not decline in a constant environment, thereby positioning it as an indicator of evolutionary progression. However, this theorem has been shown to lack universality. Here, we derive the Fokker-Planck equation that describes the stochastic frequency dynamics of two phenotypes in a large population under weak selection and genetic drift, and develop a path integral formulation that characterizes the probability density of phenotypic frequency. Our formulation identifies that, under both selection and genetic drift, the ratio of the probability density of adaptive traits (e.g., phenotypic frequency) to that under neutrality represents a time-invariant evolutionary path characteristic. This…
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