University of Michigan study challenges neutral theory of molecular evolution

A large-scale analysis finds beneficial mutations are more common than the neutral theory predicts, but environmental change may prevent them from fixing in populations.

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Researchers at the University of Michigan have published a study challenging the neutral theory of molecular evolution — one of the most influential frameworks in modern genetics, which holds that the vast majority of mutations that become permanently established in a species are selectively neutral rather than advantageous.

The team's analysis found that beneficial mutations arise substantially more often than the neutral theory assumes. Yet these mutations rarely sweep to fixation across entire populations. The researchers argue that fluctuating selective pressures — environments that shift before a beneficial variant can spread — may explain this paradox. In effect, the fitness landscape keeps moving, leaving beneficial mutations stranded at intermediate frequencies.

The findings have implications for population genetics models used to estimate selection coefficients, interpret patterns of molecular diversity, and understand the tempo of adaptive evolution. If environmental change routinely disrupts selective sweeps, methods that assume fixation-based signatures of positive selection may systematically underestimate the prevalence of adaptive evolution.

The study was reported by ScienceDaily; the primary journal source was not specified in available feed text. Researchers and students working with population-genetic theory or molecular evolution models will find the conceptual challenge to the neutral theory of particular interest.

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  1. Primary source ScienceDaily · 2026-05-29
    Scientists say evolution may work differently than we thought

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neutral-theory population-genetics positive-selection molecular-evolution beneficial-mutations
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Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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