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Updated: Feb 27, 2026

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
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Experimental evolution in communities: beyond pairwise interactions
Vincent Montbel1,2, Jan Hrcek1,2
1University of South Bohemia, Faculty of Science, 370 05 České Budějovice, Czech Republic.
Evolution; International Journal of Organic Evolution
|February 26, 2026
Summary
Experimental evolution in communities reveals how ecological context shapes adaptation. This approach, expanding beyond simple systems, offers insights into complex interactions and evolutionary trajectories in natural settings.
Area of Science:
- Ecology
- Evolutionary Biology
- Community Ecology
Background:
- Experimental evolution traditionally focuses on single or two-species systems.
- Recent advancements extend experimental evolution to complex community settings.
- Natural communities involve indirect effects, higher-order interactions, and multidimensional selection.
Purpose of the Study:
- To synthesize the emerging field of experimental evolution in communities.
- To demonstrate how community context reshapes selection and evolutionary trajectories.
- To identify gaps and future directions for research in community experimental evolution.
Main Methods:
- Systematic literature survey of multi-species, multi-generation experimental evolution studies.
- Analysis of 100 identified studies, noting a recent increase in research.
- Discussion of community ecology concepts and relevant experimental designs.
Main Results:
- Experimental evolution in communities is a growing field, with 100 studies identified.
- Most current research is biased towards microbial systems and competitive interactions.
- Community context significantly alters selection and evolutionary paths compared to simpler designs.
Conclusions:
- Experimental evolution in communities provides a powerful framework for understanding adaptation and coevolution.
- Key research areas include indirect/higher-order interactions, eco-evolutionary feedbacks, and genetic constraints.
- Increasing ecological realism through field experiments and addressing interaction networks is crucial for future research.
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