Abstract
The impact of gene duplication on evolution is as ubiquitous as point mutation, but this realization is not yet reflected in our quantitative models of population genetics. In this Commentary article, we explore the implications of such models of gene duplication, specifically expanding on our previous work. We lay down a framework for understanding the impact of gene duplications on the evolution a biological network and give an analytical argument based on the concept of mutational error threshold for the necessity of gene duplications for the evolution of complex networks. In other words, by realizing that the impact of mutations must act appropriately in order to allow for the maintenance of complex networks, we develop a mathematical scaling argument that shows why gene duplication provides the types of mutations more favorable to increasing complexity. In the process of doing so, we seek to explain the relationship between per base pair mutation rates and genome size.
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