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- Modeling Approaches to Examine Fundamental Issues in Life Sciences
- (418b) Physical Structure of Autoregulatory Gene Circuits
Divergent promoters are characterized by having closely spaced or overlapping binding sites for RNA polymerase. A number of hypotheses have been proposed to explain why divergent promoters are so prevalent in E. coli and other bacteria. The most common is that close proximity of the binding sites for RNA polymerase couple transcription on both sides of the promoter, either directly through steric interactions or indirectly through alterations in local DNA topology. Such interactions may affect transcription in one or both directions. Given that, in Escherichia coli, approximately 40% of all operons expressed from divergent configurations and that 60% of these promoters are linked to the expression of transcription factors, we hypothesized that this configuration may represent one example where the physical topology of the circuit affects its behavior. More specifically, we hypothesized that autoregulatory gene circuits may be arranged in a divergent configuration to achieve a degree of control not possible in other transcriptional configurations.
In this work, we investigated how the transcriptional organization of a negatively autoregulated gene circuit affects its behavior. Using the tetRA divergent promoter from Tn10 as our basis, we compared dose-response behavior of circuits utilizing divergent, tandem, or decoupled configurations. Mathematical modeling predicted that the divergent configuration had a lower cost than the other two in terms of the amount of regulator needed to fix the gain of the circuit and also a higher sensitivity in a sense that it could be induced by the inducer at a concentration over 10 times lower. We experimentally validated these predictions by measuring the response to inducer of TetR-autoregulated circuits utilizing these three configurations. These results suggest that cells may utilize divergent promoters to minimize the metabolic cost associated with regulating gene expression in response to an inducer more effectively. Furthermore, they illustrate how the physical topology of a gene circuit can influence its performance in addition to the general feedback mechanisms employed.