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Updated: Jun 13, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Alternative Mutational Architectures Producing Identical M-Matrices can Lead to Different Patterns of Evolutionary
Daohan Jiang1,2, Matt Pennell1,3,4
1Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
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Explaining macroevolutionary divergence in light of population genetics requires understanding the extent to which the patterns of mutational input contribute to long-term trends. In the context of quantitative traits, mutational input is typically described by the mutational variance-covariance matrix, the M-matrix, which summarizes phenotypic variances and covariances introduced by new mutations per generation. However, as a summary statistic, the M-matrix does not fully capture all the relevant information from the underlying mutational architecture, and there exist a myriad of possible underlying mutational architectures that give rise to the same M-matrix. Using individual-based simulations, we demonstrate mutational architectures that produce the same M-matrix can lead to different levels of constraint on evolution and result in difference in within-population genetic variance, between-population divergence, and rate of adaptation. In particular, the rate of adaptation and that of neutral evolution are both reduced when a greater proportion of loci are pleiotropic. Our results reveal that aspects of mutational input not reflected by the M-matrix can have a profound impact on long-term evolution and suggest it is important to take them into account in order to connect patterns of long-term phenotypic evolution to underlying microevolutionary mechanisms.
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