A theoretical lower bound for selection on the expression levels of proteins

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Abstract

We use simple models of the costs and benefits of microbial gene expression to show that changing a protein’s expression away from its optimum by 2-fold should reduce fitness by at least 0:2 P, where P is the fraction the cell’s protein that the gene accounts for. As microbial genes are usually expressed at above 5 parts per million, and effective population sizes are likely to be above 106, this implies that 2-fold changes to gene expression levels are under strong selection, as Ne s 1, where Ne is the effective population size and s is the selection coefficient. Thus, most gene duplications should be selected against. On the other hand, we predict that for most genes, small changes in the expression will be effectively neutral.

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Price, M. N., & Arkin, A. P. (2016). A theoretical lower bound for selection on the expression levels of proteins. Genome Biology and Evolution, 8(6), 1917–1928. https://doi.org/10.1093/gbe/evw126

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