Module-Based Analysis of Robustness Tradeoffs in the Heat Shock Response System

Biological systems have evolved complex regulatory mechanisms, even in situations where much simpler designs seem to be sufficient for generating nominal functionality. Using module-based analysis coupled with rigorous mathematical comparisons, we propose that in analogy to control engineering architectures, the complexity of cellular systems and the presence of hierarchical modular structures can be attributed to the necessity of achieving robustness. We employ the Escherichia coli heat shock response system, a strongly conserved cellular mechanism, as an example to explore the design principles of such modular architectures. In the heat shock response system, the sigma-factor σ(32) is a central regulator that integrates multiple feedforward and feedback modules. Each of these modules provides a different type of robustness with its inherent tradeoffs in terms of transient response and efficiency. We demonstrate how the overall architecture of the system balances such tradeoffs. An extensive mathematical exploration nevertheless points to the existence of an array of alternative strategies for the existing heat shock response that could exhibit similar behavior. We therefore deduce that the evolutionary constraints facing the system might have steered its architecture toward one of many robustly functional solutions

Genetic noise control via protein oligomerization

Gene expression in a cell entails random reaction events occurring over disparate time scales. Thus, molecular noise that often results in phenotypic and population-dynamic consequences sets a fundamental limit to biochemical signaling. While there have been numerous studies correlating the architecture of cellular reaction networks with noise tolerance, only a limited effort has been made to understand the dynamic role of protein-protein interactions. Here we have developed a fully stochastic model for the positive feedback control of a single gene, as well as a pair of genes (toggle switch), integrating quantitative results from previous in vivo and in vitro studies. We find that the overall noise-level is reduced and the frequency content of the noise is dramatically shifted to the physiologically irrelevant high-frequency regime in the presence of protein dimerization. This is independent of the choice of monomer or dimer as transcription factor and persists throughout the multiple model topologies considered. For the toggle switch, we additionally find that the presence of a protein dimer, either homodimer or heterodimer, may significantly reduce its random switching rate. Hence, the dimer promotes the robust function of bistable switches by preventing the uninduced (induced) state from randomly being induced (uninduced). The specific binding between regulatory proteins provides a buffer that may prevent the propagation of fluctuations in genetic activity. The capacity of the buffer is a non-monotonic function of association-dissociation rates. Since the protein oligomerization per se does not require extra protein components to be expressed, it provides a basis for the rapid control of intrinsic or extrinsic noise

Triad pattern algorithm for predicting strong promoter candidates in bacterial genomes

Abstract Background Bacterial promoters, which increase the efficiency of gene expression, differ from other promoters by several characteristics. This difference, not yet widely exploited in bioinformatics, looks promising for the development of relevant computational tools to search for strong promoters in bacterial genomes. Results We describe a new triad pattern algorithm that predicts strong promoter candidates in annotated bacterial genomes by matching specific patterns for the group I σ70 factors of Escherichia coli RNA polymerase. It detects promoter-specific motifs by consecutively matching three patterns, consisting of an UP-element, required for interaction with the α subunit, and then optimally-separated patterns of -35 and -10 boxes, required for interaction with the σ70 subunit of RNA polymerase. Analysis of 43 bacterial genomes revealed that the frequency of candidate sequences depends on the A+T content of the DNA under examination. The accuracy of in silico prediction was experimentally validated for the genome of a hyperthermophilic bacterium, Thermotoga maritima, by applying a cell-free expression assay using the predicted strong promoters. In this organism, the strong promoters govern genes for translation, energy metabolism, transport, cell movement, and other as-yet unidentified functions. Conclusion The triad pattern algorithm developed for predicting strong bacterial promoters is well suited for analyzing bacterial genomes with an A+T content of less than 62%. This computational tool opens new prospects for investigating global gene expression, and individual strong promoters in bacteria of medical and/or economic significance.</p

Promoter melting by an alternative σ, one base at a time

Housekeeping σ factors are initiation factors for the bacterial RNA polymerase at most promoters, whereas alternative σs direct focused responses to specific environmental conditions. Structural and functional analysis of an alternative σ complexed with its cognate −10 motif elucidates the mechanism for initiation of strand opening, highlighting two critical properties: why alternative σs, compared to housekeeping σs, recognize so few promoters and how their promoter-recognition strategy was diversified during evolution

A σ-core interaction of the RNA polymerase holoenzyme that enhances promoter escape

The σ subunit of bacterial RNA polymerase (RNAP) is required for promoter-specific transcription initiation and can also participate in downstream events. Several functionally important intersubunit interactions between Escherichia coli σ(70) and the core enzyme (α(2)ββ′ω) have been defined. These include an interaction between conserved region 2 of σ(70) (σ(2)) and the coiled-coil domain of β′ (β′ coiled-coil) that is required for sequence-specific interaction between σ(2) and the DNA during both promoter open complex formation and σ(70)-dependent early elongation pausing. Here, we describe a previously uncharacterized interaction between a region of σ(70) adjacent to σ(2) called the nonconserved region (σ(70) NCR) and a region in the N-terminal portion of β′ that appears to functionally antagonize the σ(2)/β′ coiled-coil interaction. Specifically, we show that the σ(70) NCR/β′ interaction facilitates promoter escape and hinders early elongation pausing, in contrast to the σ(2)/β′ coiled-coil interaction, which has opposite effects. We also demonstrate that removal of the σ(70) NCR results in a severe growth defect; we suggest that its importance for growth may reflect its role in promoter escape