ArticleProceedings. Biological sciences2013
The evolution of complex gene regulation by low-specificity binding sites.
Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Molecular basis for lethal cross-talk between two unrelated bacterial transcription factors - the regulatory protein of a restriction-modification system and the repressor of a defective prophage.Nucleic acids research · 2022Article
- Adaptive gene misregulation.Genetics · 2021Article
- Sexual antagonism drives the displacement of polymorphism across gene regulatory cascades.Proceedings. Biological sciences · 2019Article
- In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure.BMC evolutionary biology · 2017Article
- Modeling thePeerJ · 2017Article
- The thermostability and specificity of ancient proteins.Current opinion in structural biology · 2016Review
- Dynamics of Transcription Factor Binding Site Evolution.PLoS genetics · 2015Article
- Potential Gene Interactions in the Cell Cycles of Gametes, Zygotes, Embryonic Stem Cells and the Development of Cancer.Frontiers in oncology · 2015Review
- Hybrid incompatibility arises in a sequence-based bioenergetic model of transcription factor binding.Genetics · 2014Article
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2 authors.
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Abstract
Requirements for gene regulation vary widely both within and among species. Some genes are constitutively expressed, whereas other genes require complex regulatory control. Transcriptional regulation is often controlled by a module of multiple transcription factor binding sites that, in combination, mediate the expression of a target gene. Here, we study how such regulatory modules evolve in response to natural selection. Using a population-genetic model, we show that complex regulatory modules which contain a larger number of binding sites must employ binding motifs that are less specific, on average, compared with smaller regulatory modules. This effect is extremely general, and it holds regardless of the selected binding logic that a module experiences. We attribute this phenomenon to the inability of stabilizing selection to maintain highly specific sites in large regulatory modules. Our analysis helps to explain broad empirical trends in the Saccharomyces cerevisiae regulatory network: those genes with a greater number of distinct transcriptional regulators feature less-specific binding motifs, compared with genes with fewer regulators. Our results also help to explain empirical trends in module size and motif specificity across species, ranging from prokaryotes to single-cellular and multi-cellular eukaryotes.
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