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Updated: May 2, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Social Selection and Indirect Genetic Effects in Structured populations
Barbora Trubenová1, Reinmar Hager1
1Computational and Evolutionary Biology, Faculty of Life Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT UK.
Social selection and indirect genetic effects (IGEs) can drive similar evolutionary outcomes, but IGEs may exert stronger evolutionary pressure. IGEs can also reveal genetic and phenotypic differences, unlike social selection.
Area of Science:
- Evolutionary genetics
- Behavioural ecology
Background:
- Social selection and indirect genetic effects (IGEs) are key concepts explaining social trait evolution.
- Both frameworks consider individual interactions but differ in their mechanisms: social selection acts directly on phenotypes, while IGEs act on social partners' phenotypes via genotypes.
Purpose of the Study:
- To compare the evolutionary predictions of social selection and IGEs.
- To investigate whether these concepts yield similar evolutionary trajectories.
- To analyze trait evolution in a multi-trait, multi-member model across four social interaction scenarios.
Main Methods:
- Developed a multi-trait, multi-member model to simulate trait evolution.
- Compared evolutionary outcomes under social selection and IGEs.
- Analyzed four distinct scenarios of social interactions.
Main Results:
- Social selection and IGEs can produce similar evolutionary outcomes and group-level selection pressures.
- IGEs can lead to stronger evolutionary effects due to potential feedback loops.
- IGEs, but not social selection gradients, can differentiate evolutionary responses between genotypes and phenotypes.
Conclusions:
- While both social selection and IGEs contribute to social trait evolution, IGEs offer a more nuanced understanding of genetic and phenotypic evolutionary dynamics.
- The potential for feedback loops under IGEs can amplify evolutionary change.
- IGEs provide a more comprehensive framework for predicting evolutionary trajectories, especially when genotype- and phenotype-level responses diverge.
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