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Gene duplication and subsequent diversification strongly affect phenotypic evolvability and robustness

Victor Jouffrey, Alexander S. Leonard, Sebastian E. Ahnert

2021Royal Society Open Science14 citationsDOIOpen Access PDF

Abstract

We study the effects of non-determinism and gene duplication on the structure of genotype-phenotype (GP) maps by introducing a non-deterministic version of the Polyomino self-assembly model. This model has previously been used in a variety of contexts to model the assembly and evolution of protein quaternary structure. Firstly, we show the limit of the current deterministic paradigm which leads to built-in anti-correlation between evolvability and robustness at the genotypic level. We develop a set of metrics to measure structural properties of GP maps in a non-deterministic setting and use them to evaluate the effects of gene duplication and subsequent diversification. Our generalized versions of evolvability and robustness exhibit positive correlation for a subset of genotypes. This positive correlation is only possible because non-deterministic phenotypes can contribute to both robustness and evolvability. Secondly, we show that duplication increases robustness and reduces evolvability initially, but that the subsequent diversification that duplication enables has a stronger, inverse effect, greatly increasing evolvability and reducing robustness relative to their original values.

Topics & Concepts

EvolvabilityRobustness (evolution)Gene duplicationComputer scienceBiologyGeneComputational biologyGeneticsEvolutionary biologyEvolution and Genetic DynamicsBioinformatics and Genomic NetworksGenomics and Phylogenetic Studies
Gene duplication and subsequent diversification strongly affect phenotypic evolvability and robustness | Litcius