Who are my Neighbours? Selection Targets Robustness to Full Replication Events, Not to Individual Mutations

Theory predicts that populations should evolve mutational robustness --- the ability to maintain a constant phenotype despite mutations. However, selection does not operate on individual mutations but on phenotypes resulting from entire replication events, which may involve a variable number of mutations. We therefore distinguish mutational robustness from replicative robustness, defined as the probability that a replication event produces similarly fit offspring. Mutational and replicative robustness may seem closely aligned at first sight, but we show with an evolutionary simulation model that they can be selected in opposite directions. Our results show that while genomes with high redundancy and/or large amounts of non-coding DNA are mutationally robust, they are replicatively fragile because their size increases the number of mutations per replication. This is especially relevant when genomes are at risk of severe disruption from chromosomal rearrangements. Our results expose limits of the fitness landscape metaphor in the context of robustness evolution: neutral plateaus may be mutationally robust but replicatively unstable and therefore disfavoured by selection, whereas narrow peaks arising from densely encoded genomes can replicate more reliably. Our results identify replicative robustness as a distinct target of selection that depends not only on tolerance to individual mutations but also on their overall likelihood of occurring.

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Publication Details

Journal
Genetics
Published
2026-09-25
DOI
https://doi.org/10.1093/genetics/iyag260
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
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article

Who are my Neighbours? Selection Targets Robustness to Full Replication Events, Not to Individual Mutations

Guillaume Beslon, Juliette Luiselli, Pieter Van den Berg
Genetics
Evolution and Genetic Dynamics
article

Who are my Neighbours? Selection Targets Robustness to Full Replication Events, Not to Individual Mutations

Guillaume Beslon, Juliette Luiselli, Pieter Van den Berg
article en

Abstract

Theory predicts that populations should evolve mutational robustness --- the ability to maintain a constant phenotype despite mutations. However, selection does not operate on individual mutations but on phenotypes resulting from entire replication events, which may involve a variable number of mutations. We therefore distinguish mutational robustness from replicative robustness, defined as the probability that a replication event produces similarly fit offspring. Mutational and replicative robustness may seem closely aligned at first sight, but we show with an evolutionary simulation model that they can be selected in opposite directions. Our results show that while genomes with high redundancy and/or large amounts of non-coding DNA are mutationally robust, they are replicatively fragile because their size increases the number of mutations per replication. This is especially relevant when genomes are at risk of severe disruption from chromosomal rearrangements. Our results expose limits of the fitness landscape metaphor in the context of robustness evolution: neutral plateaus may be mutationally robust but replicatively unstable and therefore disfavoured by selection, whereas narrow peaks arising from densely encoded genomes can replicate more reliably. Our results identify replicative robustness as a distinct target of selection that depends not only on tolerance to individual mutations but also on their overall likelihood of occurring.

Genetics
Institut national de recherche en sciences et technologies du numérique (FR), Lyon College (US), Evolutionary Genomics (United States) (US), Institut National des Sciences Appliquées de Lyon (FR), KU Leuven (BE)
Openalex Percentile: Top 12%
Evolution and Genetic Dynamics
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Who are my Neighbours? Selection Targets Robustness to Full Replication Events, Not to Individual Mutations — Guillaume Beslon, Juliette Luiselli, et al. · Genetics (2026) | TGRS Research Map | TGRS