Cooperative binding of the leucine-responsive regulatory protein (Lrp) to DNA

The leucine-responsive regulatory protein (Lrp) of Escherichia coli activates expression of a number of operons and represses expression of others. For some members of the Lrp regulon, exogenous leucine mitigates the effect of Lrp, for some it potentiates the effect of Lrp, and for others it has no effect on Lrp action. For the ilvIH operon that we study, Lrp activates expression in vivo and mediates the repression of the operon by exogenous leucine. We studied Lrp-1, a leucine-insensitive variant, to investigate mechanisms by which leucine alters Lrp action as an activator of ilvIH expression. The Asp114Glu change did not have much effect on the amount of total Lrp-1 in cells but decreased the amount of free Lrp-1 two- to threefold. Lrp monomers associate to form octamers and hexadecamers (hexadecamer form predominates at micromolar concentrations; Kd=5.27x10(-8) M), and leucine promotes the dissociation of Lrp hexadecamer to a leucine-bound octamer. By contrast, Lrp-1 exists primarily as an octamer in solution (equilibrium dissociation constant 6.5x10(-5) M) and leucine had little effect on the equilibrium. Thus, the hexadecameric form that Lrp assumes in the absence of DNA is not required for activation of the ilvIH operon. Both leucine and the lrp-1 mutation reduced the apparent affinity of Lrp binding to ilvIH DNA (contains two groups of binding sites separated by 136 bp) but they have different effects on intrinsic binding affinity and binding cooperativity. Whereas leucine reduced intrinsic binding affinities and interactions of Lrps bound at upstream and downstream regions of ilvIH DNA, it increased cooperative dimer-dimer interactions of Lrps bound to two adjacent sites. By contrast, the lrp-1 mutation did not have much effect on intrinsic binding affinities but it decreased cooperative adjacent dimer-dimer interactions and enhanced interactions of Lrps bound at upstream and downstream regions of ilvIH DNA. Our analysis is consistent with the idea that leucine enhances dimer-dimer interactions that contribute to octamer formation, concomitantly reducing dimer-dimer interactions that contribute to the longer range interactions of Lrps that are required for activation of the ilvIH promoter.     

A universal approach for promoter strength evaluation supported by the web-based tool PromCal

In genetic engineering, gene expression is often modulated by replacements in promoter regions. Any deliberate intervention into the regulatory elements requires a subsequent evaluation based on analysis of reporter proteins. We have developed a new and rapid approach for characterization of promoter activity in which promoter strengths are determined by antibiotic resistance level. Values are expressed in comparison with those obtained from the reference promoter using the kanamycin resistance (aminoglycoside 3′-phosphotransferase) gene as a reporter. The new assay vector pSB1K0prom enables straightforward cloning of promoters or their subparts; therefore, mutations in different elements of the promoter region are easily introduced and analyzed. A series of promoters can be examined in parallel because no protein analysis is required other than determination of bacterial growth rates in the presence of increasing kanamycin concentrations. An internet application called PromCal for evaluation of experimental data has also been developed and is freely accessible at http://web.fkkt.uni-lj.si/biokemija/nskrlj/tools/PromCal.php.     

A declarative constraint-based method for analyzing discrete genetic regulatory networks

Dynamical modeling has proven useful for understanding how complex biological processes emerge from the many components and interactions composing genetic regulatory networks (GRNs). However, the development of models is hampered by large uncertainties in both the network structure and parameter values. To remedy this problem, the models are usually developed through an iterative process based on numerous simulations, confronting model predictions with experimental data and refining the model structure and/or parameter values to repair the inconsistencies. In this paper, we propose an alternative to this generate-and-test approach. We present a four-step method for the systematic construction and analysis of discrete models of GRNs by means of a declarative approach. Instead of instantiating the models as in classical modeling approaches, the biological knowledge on the network structure and its dynamics is formulated in the form of constraints. The compatibility of the network structure with the constraints is queried and in case of inconsistencies, some constraints are relaxed. Common properties of the consistent models are then analyzed by means of dedicated languages. Two such languages are introduced in the paper. Removing questionable constraints or adding interesting ones allows to further analyze the models. This approach allows to identify the best experiments to be carried out, in order to discriminate sets of consistent models and refine our knowledge on the system functioning. We test the feasibility of our approach, by applying it to the re-examination of a model describing the nutritional stress response in the bacterium Escherichia coli.     

Why a simple model of genetic regulatory networks describes the distribution of avalanches in gene expression data

In a previous study it was shown that a simple random Boolean network model, with two input connections per node, can describe with a good approximation (with the exception of the smallest avalanches) the distribution of perturbations in gene expression levels induced by the knock-out of single genes in Saccharomyces cerevisiae. Here we address the reason why such a simple model actually works: we present a theoretical study of the distribution of avalanches and show that, in the case of a Poissonian distribution of outgoing links, their distribution is determined by the value of the Derrida exponent. This explains why the simulations based on the simple model have been effective, in spite of the unrealistic hypothesis about the number of input connections per node. Moreover, we consider here the problem of the choice of an optimal threshold for binarizing continuous data, and we show that tuning its value provides an even better agreement between model and data, valuable also in the important case of the smallest avalanches. Finally, we also discuss the choice of an optimal value of the Derrida parameter in order to match the experimental distributions: our results indicate a value slightly below the critical value 1.     

Binding of NorR to three DNA sites is essential for promoter activation of the flavorubredoxin gene, the nitric oxide reductase of Escherichia coli

NorR is a nitric oxide sensor that in Escherichia coli regulates the gene encoding for flavorubredoxin, an enzyme involved in nitrosative detoxification. The present work shows that although purified NorR can bind independently to each of three binding sites in the flavorubredoxin gene promoter, the presence of all sites is required for in vivo nitric oxide-dependent induction of the flavorubredoxin gene. Furthermore, trimerization of NorR upon binding to the three sites was observed by protein cross-linking experiments. These results reveal the importance of the multiple DNA binding sites present on NorR-dependent promoters and suggest that the functional form of NorR is a trimer.     

Expression of a biologically-active conotoxin PrIIIE in Escherichia coli

Conotoxin PrIIIE is a 22-amino acid peptide containing three disulfide bonds isolated from the venom of Conus parius Reeve. It is a non-competitive antagonist of the mammalian muscle nicotinic acetylcholine receptor (nAChR). We fused the PrIIIE to small ubiquitin-like modifier (SUMO) and expressed the fusion protein in an Escherichia coli strain with an oxidizing cytoplasm. We purified the fusion protein by immobilized metal affinity chromatography and further purified PrIIIE from cleaved SUMO using cation exchange chromatography. The yield of peptide was 1.5 mg/L of culture. The recombinant peptide is functional, as demonstrated by two-electrode voltage clamp experiments. This system may prove valuable for future structure-function studies.     

Temporal constraints of a gene regulatory network: Refining a qualitative simulation

The modelling of gene regulatory networks (GRNs) has classically been addressed through very different approaches. Among others, extensions of Thomas’s asynchronous Boolean approach have been proposed, to better fit the dynamics of biological systems: genes may reach different discrete expression levels, depending on the states of other genes, called the regulators: thus, activations and inhibitions are triggered conditionally on the proper expression levels of these regulators. In contrast, some fine-grained propositions have focused on the molecular level as modelling the evolution of biological compound concentrations through differential equation systems. Both approaches are limited. The first one leads to an oversimplification of the system, whereas the second is incapable to tackle large GRNs. In this context, hybrid paradigms, that mix discrete and continuous features underlying distinct biological properties, achieve significant advances for investigating biological properties. One of these hybrid formalisms proposes to focus, within a GRN abstraction, on the time delay to pass from a gene expression level to the next. Until now, no research work has been carried out, which attempts to benefit from the modelling of a GRN by differential equations, converting it into a multi-valued logical formalism of Thomas, with the aim of performing biological applications.     

Assembly and overexpression of membrane proteins in Escherichia coli

The bacterium Escherichia coli is one of the most popular model systems to study the assembly of membrane proteins of the so-called helix-bundle class. Here, based on this system, we review and discuss what is currently known about the assembly of these membrane proteins. In addition, we will briefly review and discuss how E. coli has been used as a vehicle for the overexpression of membrane proteins.     

Modeling allosteric regulation of de novo pyrimidine biosynthesis in Escherichia coli

With the emergence of multifaceted bioinformatics-derived data, it is becoming possible to merge biochemical and physiological information to develop a new level of understanding of the metabolic complexity of the cell. The biosynthetic pathway of de novo pyrimidine nucleotide metabolism is an essential capability of all free-living cells, and it occupies a pivotal position relative to metabolic processes that are involved in the macromolecular synthesis of DNA, RNA and proteins, as well as energy production and cell division. This regulatory network in all enteric bacteria involves genetic, allosteric, and physiological control systems that need to be integrated into a coordinated set of metabolic checks and balances. Allosterically regulated pathways constitute an exciting and challenging biosynthetic system to be approached from a mathematical perspective. However, to date, a mathematical model quantifying the contribution of allostery in controlling the dynamics of metabolic pathways has not been proposed. In this study, a direct, rigorous mathematical model of the de novo biosynthesis of pyrimidine nucleotides is presented. We corroborate the simulations with experimental data available in the literature and validate it with derepression experiments done in our laboratory. The model is able to faithfully represent the dynamic changes in the intracellular nucleotide pools that occur during metabolic transitions of the de novo pyrimidine biosynthetic pathway and represents a step forward in understanding the role of allosteric regulation in metabolic control.     

A bacterial expression system revisited for the recombinant production of cystine-rich plant lipid transfer proteins

Non-specific lipid transfer proteins (nsLTPs) are abundant and ubiquitous cystine-rich proteins that are capable, in vitro, of binding lipids and hydrophobic molecules. In view to probe the lipid binding properties of the wheat nsLTP1, mutant variants may represent a powerful tool. To this end, a synthetic gene, encoding a mature wheat nsLTP1 polypeptide, was designed to ensure high level expression in Escherichia coli. The bacterial expression host strain, a translational fusion strategy, and convenient cleavage and purification procedures were optimized to produce in standard fermentation conditions, a significant amount (15 mg/L final yield), of a soluble and correctly folded recombinant nsLTP1. This highly amenable expression system is helpful in order to investigate structure-activity relationships of plant nsLTP.     

A simulation study of mutations in the genetic regulatory hierarchy for butterfly eyespot focus determination

The color patterns on the wings of butterflies have been an important model system in evolutionary developmental biology. A recent computational model tested genetic regulatory hierarchies hypothesized to underlie the formation of butterfly eyespot foci [Evans, T.M., Marcus, J.M., 2006. A simulation study of the genetic regulatory hierarchy for butterfly eyespot focus determination. Evol. Dev. 8, 273-283]. The computational model demonstrated that one proposed hierarchy was incapable of reproducing the known patterns of gene expression associated with eyespot focus determination in wild-type butterflies, but that two slightly modified alternative hierarchies were capable of reproducing all of the known gene expressions patterns. Here we extend the computational models previously implemented in Delphi 2.0 to two mutants derived from the squinting bush brown butterfly (Bicyclus anynana). These two mutants, comet and Cyclops, have aberrantly shaped eyespot foci that are produced by different mechanisms. The comet mutation appears to produce a modified interaction between the wing margin and the eyespot focus that results in a series of comet-shaped eyespot foci. The Cyclops mutation causes the failure of wing vein formation between two adjacent wing-cells and the fusion of two adjacent eyespot foci to form a single large elongated focus in their place. The computational approach to modeling pattern formation in these mutants allows us to make predictions about patterns of gene expression, which are largely unstudied in butterfly mutants. It also suggests a critical experiment that will allow us to distinguish between two hypothesized genetic regulatory hierarchies that may underlie all butterfly eyespot foci.     

Development of a real-time SYBRGreen PCR assay for rapid detection of acquired AmpC in Enterobacteriaceae

Introduction

Acquired AmpC enzymes, classified as miscellaneous extended-spectrum β-lactamase (ESBL_M) enzymes according to a recently proposed β-lactamase classification, are increasing according to several publications. Simple and rapid methods for detection of ESBL_M are needed for appropriate infection control. A gel-based multiplex PCR method for acquired bla_AmpC detection and subtype classification has been available for several years. Here, we describe a modification of the protocol to suit real-time PCR platforms and to include novel genotypes.

Material and methods

Clinical isolates with clavulanic acid non-reversible non-susceptibility to extended-spectrum cephalosporins were subjected to combination disk testing with cefoxitin +/− cloxacillin at Malmö University Hospital. Phenotypical AmpC production was defined as cloxacillin reversible cefoxitin resistance. In this study 51 phenotypical AmpC-producing isolates, were subjected to the acquired bla_AmpC real-time PCR assay. The acquired blaAmpC positive isolates were further characterized by DNA sequencing of the acquired AmpC encoding gene, Pulsed-Field Gel Electrophoresis (PFGE) and PCR-based replicon typing.

Results and discussion

The real-time PCR assay was able to detect and sub-classify all acquired bla_AmpC genes described to date. The assay can be performed in less than 3 h, including pre-PCR preparations. Analysis of the isolate collection resulted in 18 of 51 phenotypical AmpC-producing isolates being positive in the acquired bla_AmpC real-time multiplex PCR assay; 17 of subtype CIT and one DHA. Sequence analysis identified 16 isolates as blaCMY-2, one as blaCMY-16 and one as blaDHA-1. Detected plasmid replicon types were I1 and B/O. Two of the E. coli isolates were identical according to PFGE and the others were unrelated.     

Residues Arg114 and Arg337 are critical for the proper function of Escherichia coli gamma-glutamyltranspeptidase

To evaluate the importance of conserved Arg114 and Arg337 residues of Escherichia coli γ-glutamyltranspeptidase (EcGGT), Lys, Leu, or Asp-substituted mutants were constructed by site-directed mutagenesis. The wild-type and mutant enzymes were overexpressed in the recombinant E. coli M15 and purified by nickel-chelate chromatography to near homogeneity. With the exception of R114K, all the other mutants significantly lost GGT activity, confirming the importance of these two residues in EcGGT. Kinetic analysis of R114L, R114D, R337K, and R337L revealed a significant increase in K_m with a minor change in k_cat, leading to more than an 8-fold decrease in k_cat/K_m values. Mutations of Arg337 impaired the capability of autocatalytic processing of the enzyme. In vitro maturation experiments revealed that EcGGT precursor mutants, pro-R337K and pro-R337L, could precede a time-dependent autocatalytic process to generate the small and large subunits, while no autocatalytic processing was observed in pro-R337D. Computer modeling showed that the critical bonding distance of Gln390 O-Thr391 HG1 and Gln390 C-Thr391 OG1 are significantly increased in Arg337 replacements, implying that these distance changes might be responsible for the lack of enzyme maturation.     

Construction of a whole-cell gene reporter for the fluorescent bioassay of nitrate

The development of a whole-cell fluorescence-based biosensor for nitrate is reported. The sensor is Escherichia coli transformed with a plasmid (pPNARGFP) in which the promoter and regulatory regions of the membrane-bound nitrate reductase narGHJI operon (Pnar) are fused to a gfp gene encoding green fluorescent protein (GFP). Pnar-gfp activity was measured at a range of nitrate concentrations using whole-cell GFP fluorescence. The bioassay conditions have been optimized so that the fluorescence intensity is proportional to the extracellular nitrate concentration. The developed bioassay has established that E. coli (pPNARGFP) can be used for the quantitative determination of nitrate in environmental waters without interference from other electron acceptors, e.g., nitrite, dimethyl sulfoxide, trimethylamine-N-oxide and fumerate, and azide, an inhibitor of redox-active proteins.     

Plasmid DNA vaccine vector design: Impact on efficacy,safety and upstream production

Critical molecular and cellular biological factors impacting design of licensable DNA vaccine vectors that combine high yield and integrity during bacterial production with increased expression in mammalian cells are reviewed. Food and Drug Administration (FDA), World Health Organization (WHO) and European Medical Agencies (EMEA) regulatory guidance's are discussed, as they relate to vector design and plasmid fermentation. While all new vectors will require extensive preclinical testing to validate safety and performance prior to clinical use, regulatory testing burden for follow-on products can be reduced by combining carefully designed synthetic genes with existing validated vector backbones. A flowchart for creation of new synthetic genes, combining rationale design with bioinformatics, is presented. The biology of plasmid replication is reviewed, and process engineering strategies that reduce metabolic burden discussed. Utilizing recently developed low metabolic burden seed stock and fermentation strategies, optimized vectors can now be manufactured in high yields exceeding 2 g/L, with specific plasmid yields of 5% total dry cell weight.