A century of theories of balancing selection

Traits that affect organismal fitness are often highly genetically variable. This genetic variation is vital for populations to adapt to their environments, but it is also surprising given that nature - after all - 'selects' the best genotypes at the expense of those that fall short. Explaining the extensive genetic variation of fitness-related traits is thus a longstanding puzzle in evolutionary biology, with cascading implications for ecology, conservation, and human health. Balancing selection - an umbrella term for scenarios in which natural selection maintains genetic variation - is a century-old explanation to resolve this puzzle that has gained recent momentum from genome-scale methods for detecting it. Yet evaluating whether balancing selection can, in fact, resolve the puzzle is challenging, given the logistical constraints of distinguishing balancing selection from alternative hypotheses and the daunting collection of theoretical models that formally underpin this debate. Here, we track the development of balancing selection theory over the last century and provide an accessible review of this rich collection of models. We first outline the range of biological scenarios that can generate balancing selection. We then examine how fundamental features of genetic systems - non-random mating between individuals, ploidy levels, genetic drift, linkage, and genetic architectures of traits - have been progressively incorporated into the theory. We end by linking these theoretical predictions to ongoing empirical efforts to understand the evolutionary processes that explain genetic variation.

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Publication Details

Journal
Biological reviews/Biological reviews of the Cambridge Philosophical Society
Published
2025-11-14
DOI
https://doi.org/10.1111/brv.70103
Citations
5
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
9.09
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article

A century of theories of balancing selection

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5 citations
Biological reviews/Biological reviews of the Cambridge Philosophical Society
Evolution and Genetic Dynamics
9.09
article

A century of theories of balancing selection

Tim Connallon, Sofie Nilén, Débora Goedert, Peter Czuppon, Colin Olito, Martyna K. Zwoinska, Erik D. Svensson, Hanna Kokko, Filip Ruzicka, Iain R. Moodie, Xiang‐Yi Li Richter
article en
5 citations

Abstract

Traits that affect organismal fitness are often highly genetically variable. This genetic variation is vital for populations to adapt to their environments, but it is also surprising given that nature - after all - 'selects' the best genotypes at the expense of those that fall short. Explaining the extensive genetic variation of fitness-related traits is thus a longstanding puzzle in evolutionary biology, with cascading implications for ecology, conservation, and human health. Balancing selection - an umbrella term for scenarios in which natural selection maintains genetic variation - is a century-old explanation to resolve this puzzle that has gained recent momentum from genome-scale methods for detecting it. Yet evaluating whether balancing selection can, in fact, resolve the puzzle is challenging, given the logistical constraints of distinguishing balancing selection from alternative hypotheses and the daunting collection of theoretical models that formally underpin this debate. Here, we track the development of balancing selection theory over the last century and provide an accessible review of this rich collection of models. We first outline the range of biological scenarios that can generate balancing selection. We then examine how fundamental features of genetic systems - non-random mating between individuals, ploidy levels, genetic drift, linkage, and genetic architectures of traits - have been progressively incorporated into the theory. We end by linking these theoretical predictions to ongoing empirical efforts to understand the evolutionary processes that explain genetic variation.

Biological reviews/Biological reviews of the Cambridge Philosophical SocietyVol. 101(2)
University of Bern (CH), Uppsala University (SE), Institute of Science and Technology Austria (AT), Lund University (SE), University of Konstanz (DE), Johannes Gutenberg University Mainz (DE), Norwegian University of Science and Technology (NO), University of Münster (DE), Institute for Biodiversity (DE), Quantitative BioSciences (US), Institute of Molecular Biology (DE), Monash University (AU)
Openalex Percentile: Top 2%
Evolution and Genetic Dynamics
9.09
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