Heterogeneous recruitment abilities to RNA polymerases generate nonlinear scaling of gene expression with cell volume

While most genes’ expression levels are proportional to cell volumes, some genes exhibit nonlinear scaling between their expression levels and cell volume. Therefore, their mRNA and protein concentrations change as the cell volume increases, which often have crucial biological functions such as cell...

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Bibliographic Details
Published inNature communications Vol. 12; no. 1; p. 6852
Main Authors Wang, Qirun, Lin, Jie
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 25.11.2021
Nature Publishing Group
Nature Portfolio
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Summary:While most genes’ expression levels are proportional to cell volumes, some genes exhibit nonlinear scaling between their expression levels and cell volume. Therefore, their mRNA and protein concentrations change as the cell volume increases, which often have crucial biological functions such as cell-cycle regulation. However, the biophysical mechanism underlying the nonlinear scaling between gene expression and cell volume is still unclear. In this work, we show that the nonlinear scaling is a direct consequence of the heterogeneous recruitment abilities of promoters to RNA polymerases based on a gene expression model at the whole-cell level. Those genes with weaker (stronger) recruitment abilities than the average ability spontaneously exhibit superlinear (sublinear) scaling with cell volume. Analysis of the promoter sequences and the nonlinear scaling of Saccharomyces cerevisiae ’s mRNA levels shows that motifs associated with transcription regulation are indeed enriched in genes exhibiting nonlinear scaling, in concert with our model. Expression levels of most genes are proportional to cell volumes, although some genes exhibit nonlinear scaling of expression levels with cell volume. Here the authors provide a model that reveals nonlinear scaling is a direct consequence of heterogeneous recruitment abilities of promoters to RNA polymerases.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-021-26952-y