KEGG: pmr:PMI1545
STRING: 529507.PMI1545
GMP synthase (EC 6.3.4.1), encoded by the guaA gene, is a glutamine amidotransferase that catalyzes the synthesis of GMP from XMP in the purine biosynthesis pathway . In Proteus mirabilis, as in other bacteria, this enzyme plays a critical role in nucleotide metabolism, which is essential for DNA and RNA synthesis. The enzymatic reaction involves converting xanthosine monophosphate (XMP) to guanosine monophosphate (GMP) in an ATP-dependent reaction that utilizes glutamine as the amino group donor .
The reaction can be represented as:
XMP + ATP + Glutamine → GMP + AMP + PPi + Glutamate
This reaction represents the final step in the de novo biosynthesis of guanine nucleotides, making guaA essential for cellular function and bacterial survival, particularly in environments where purine salvage is limited .
The guaA gene in Proteus mirabilis shares structural similarities with its counterparts in other gram-negative bacteria. Based on studies in related bacteria, the guaA gene typically encodes a protein of approximately 525 amino acid residues with a calculated molecular weight of around 58,604 Da .
Within bacterial operons, guaA is often part of the polycistronic guaBA operon, where a 68-base pair intercistronic region separates guaA from the upstream guaB gene . The 3' end of the guaA mRNA is typically located 36-37 nucleotides downstream of the translation stop codon within a region of dyad symmetry that resembles a rho-independent transcription termination site .
The genomic context of guaA is particularly important for understanding its regulation and expression patterns during infection and stress conditions. In P. mirabilis specifically, the gene is expressed in conjunction with other genes involved in purine metabolism, creating a coordinated response to nucleotide demands.
GuaA functions as an integral component in the purine biosynthesis pathway, catalyzing the final step in de novo GMP synthesis. The pathway involves a multi-step process:
The pathway begins with the formation of phosphoribosyl pyrophosphate (PRPP)
Through a series of enzymatic reactions, inosine monophosphate (IMP) is formed
IMP dehydrogenase (GuaB) converts IMP to XMP
The guaA enzyme operates through a two-domain mechanism:
The N-terminal domain catalyzes the ATP-dependent activation of XMP to form an adenylated intermediate
The C-terminal domain, containing the glutaminase activity, hydrolyzes glutamine and transfers the resulting ammonia to the activated XMP intermediate
This two-step process is tightly regulated, ensuring appropriate levels of guanine nucleotides for cellular processes. The enzyme's activity is subject to feedback inhibition by guanine nucleotides, allowing bacteria to modulate purine biosynthesis according to metabolic needs.
In many bacteria, including those related to P. mirabilis, the guaA and guaB genes are organized in a polycistronic operon (the guaBA operon), reflecting their sequential functions in the purine biosynthesis pathway . This genetic organization facilitates coordinated expression and regulation of these functionally related enzymes.
Within this operon structure:
GuaB (IMP dehydrogenase) catalyzes the conversion of IMP to XMP
GuaA (GMP synthase) then converts XMP to GMP
The genes are typically separated by a 68-base pair intercistronic region
Transcription typically occurs as a single mRNA unit, allowing proportional synthesis of both enzymes
This arrangement ensures proper stoichiometry of the enzymes in the purine biosynthesis pathway and allows for efficient regulatory control. Bacteria can modulate the expression of the entire operon in response to purine availability or metabolic demands, ensuring energy-efficient production of these essential enzymes.
Several approaches can be employed to generate and characterize guaA mutants in P. mirabilis:
Homologous recombination-based mutagenesis:
Transposon mutagenesis:
CRISPR-Cas9 genome editing:
Design guide RNAs targeting specific regions of the guaA gene
Introduce CRISPR-Cas9 components with appropriately designed repair templates
Select and verify edited clones
Characterization of the resulting mutants should include:
| Analysis Type | Techniques | Expected Results |
|---|---|---|
| Genetic verification | PCR, sequencing, Southern blot | Confirmation of intended genetic modification |
| Transcriptional analysis | RT-qPCR, RNA-Seq | Absence or alteration of guaA transcripts |
| Functional analysis | Growth curves in minimal vs. rich media | Growth defects in minimal media, possibly rescued by guanine |
| Biochemical analysis | Enzyme activity assays | Reduced or absent GMP synthase activity |
| Virulence assessment | Urease activity, swarming, biofilm formation | Potentially attenuated virulence phenotypes |
Complementation studies, reintroducing a functional copy of guaA on a plasmid with its native promoter, are essential to confirm that observed phenotypes are specifically due to guaA inactivation rather than polar effects or secondary mutations .
The expression and purification of recombinant P. mirabilis guaA requires careful optimization of several parameters:
Expression system selection:
E. coli BL21(DE3) or similar strains are commonly used for bacterial protein expression
Alternative systems include yeast (P. pastoris) for potentially improved solubility
Cell-free protein synthesis systems may be considered for toxic proteins
Vector design and construction:
PCR amplification of the guaA coding sequence from P. mirabilis genomic DNA
Addition of appropriate tags (His6, GST, MBP) to facilitate purification
Optimization of codon usage if necessary
Inclusion of precision protease sites for tag removal
Purification strategy:
Initial capture: Affinity chromatography (Ni-NTA for His-tagged protein)
Intermediate purification: Ion exchange chromatography
Polishing: Size exclusion chromatography
Buffer optimization to maintain enzyme stability and activity
Quality control assessments:
SDS-PAGE for purity evaluation
Mass spectrometry for identity confirmation
Dynamic light scattering for aggregation analysis
Activity assays to confirm functional enzyme production
Common challenges in guaA expression include protein insolubility and proper folding of the multi-domain enzyme. These can be addressed through fusion partners (MBP, SUMO), co-expression with chaperones, or refolding protocols if the protein forms inclusion bodies.
Investigating the structure-function relationship of P. mirabilis guaA requires a multifaceted approach combining structural biology, molecular genetics, and biochemical analyses:
Structural determination methods:
X-ray crystallography of purified recombinant guaA
Cryo-electron microscopy for visualization of larger complexes
Homology modeling based on related GMP synthases with known structures
Molecular dynamics simulations to study conformational changes
Domain and motif analysis:
Bioinformatic identification of conserved domains (glutaminase domain, ATP-binding domain)
Sequence alignment with characterized GMP synthases from other species
Secondary structure prediction to identify critical structural elements
Site-directed mutagenesis studies:
Mutation of predicted catalytic residues
Alteration of substrate binding sites
Modification of interdomain regions
Creation of truncated variants to assess domain contributions
Functional characterization of variants:
A systematic experimental approach might include:
| Domain/Site | Mutation Type | Expected Effect | Analysis Method |
|---|---|---|---|
| Catalytic glutaminase | Alanine substitution of conserved residues | Decreased glutamine hydrolysis | Glutamate production assay |
| ATP binding pocket | Conservative substitutions | Altered ATP affinity | ATP binding assays, kinetic analysis |
| XMP binding site | Surface residue mutations | Changed substrate specificity | Activity with XMP analogs |
| Interdomain linker | Length variations | Altered domain coordination | Global activity, conformational analysis |
Correlating structural features with enzymatic parameters provides insights essential for understanding guaA function and potentially developing specific inhibitors.
Understanding the regulation of guaA expression in P. mirabilis requires investigation at multiple levels:
Transcriptional regulation analysis:
Promoter mapping using primer extension and 5' RACE
Construction of reporter fusions (guaA promoter-lacZ/GFP)
Identification of transcription factors through DNA-protein interaction studies
Chromatin immunoprecipitation (ChIP) to identify binding sites
Environmental and nutritional regulation:
RNA-Seq to identify co-regulated genes under different conditions
Post-transcriptional regulation:
mRNA stability assays using rifampicin treatment and time-course analysis
Identification of potential regulatory RNAs affecting guaA expression
Analysis of translation efficiency using ribosome profiling
Genetic approaches:
Deletion analysis of the guaA promoter region to identify regulatory elements
Mutagenesis of potential regulatory sequences
Suppressor screens to identify genes affecting guaA expression
In vivo expression studies:
Analysis of guaA expression during infection using animal models
Ex vivo studies using urine samples or bladder epithelial cell co-culture
A particular focus should be placed on understanding the relationship between guaA expression and virulence factor production in P. mirabilis. Correlation analyses between guaA expression levels and virulence phenotypes such as swarming motility, biofilm formation, and urease activity would provide valuable insights into the role of guaA in pathogenicity .
Evaluation of guaA as a potential antimicrobial target against P. mirabilis requires a systematic drug discovery approach:
Target validation studies:
Essentiality assessment through gene knockout/knockdown studies
Growth inhibition in minimal media vs. rescue with guanine supplementation
In vivo importance using animal infection models
Assessment of human homolog differences to predict selectivity
High-throughput screening approaches:
Development of recombinant enzyme assays suitable for screening
Fluorescence-based or colorimetric activity assays
Fragment-based screening using thermal shift assays
Virtual screening using guaA homology models
Structure-based drug design:
Crystallization of P. mirabilis guaA with substrate analogs
Computational docking studies to identify binding pockets
Design of compounds targeting catalytic or allosteric sites
Rational modification of known nucleotide analogs
Lead compound characterization:
Determination of inhibition constants (Ki) and mechanism
Selectivity profiling against human enzymes
Cytotoxicity assessment using mammalian cell lines
ADME properties evaluation
In vitro and in vivo efficacy studies:
Minimum inhibitory concentration (MIC) determination
Time-kill kinetics against P. mirabilis
Efficacy against biofilms and persister cells
Animal infection model testing
A data table for hit compound evaluation might include:
| Compound ID | IC50 (enzyme) | MIC | Selectivity Index | Biofilm Activity | Cytotoxicity | PK Parameters |
|---|---|---|---|---|---|---|
| GUA-1 | 0.X μM | X μg/mL | >XX | +/++ | LC50 >XX μM | t1/2 = X.X h |
| GUA-2 | 0.X μM | X μg/mL | >XX | +/++ | LC50 >XX μM | t1/2 = X.X h |
This comprehensive approach would identify whether guaA inhibition represents a viable strategy for developing new antimicrobials against P. mirabilis, potentially addressing the growing concern of antibiotic resistance in this uropathogen .
Expression and solubility challenges are common when working with recombinant P. mirabilis guaA. Several strategies can help overcome these obstacles:
Optimization of expression conditions:
Reduce induction temperature (16-20°C) to slow protein folding
Use lower inducer concentrations to prevent overwhelming cellular machinery
Extend expression time at lower temperatures
Test different growth media formulations
Protein engineering approaches:
Domain-based expression approach (expressing individual domains separately)
Surface entropy reduction through site-directed mutagenesis
Host strain selection:
Use strains with extra tRNAs for rare codons (e.g., Rosetta)
Strains with enhanced chaperone expression (e.g., Arctic Express)
Strains lacking specific proteases (e.g., BL21)
Consideration of eukaryotic expression systems for complex proteins
Buffer and additive optimization:
Screen various buffer systems (HEPES, Tris, phosphate)
Test stabilizing additives (glycerol, arginine, sucrose)
Include appropriate cofactors (Mg2+, ATP)
Use mild detergents below critical micelle concentration
Refolding strategies (if inclusion bodies form):
Solubilization in denaturants (urea, guanidinium)
Gradual dilution or dialysis-based refolding
On-column refolding during purification
Chaperone-assisted refolding
A systematic approach to optimization using a structured experimental design is recommended:
| Parameter | Variables to Test | Assessment Method |
|---|---|---|
| Temperature | 16°C, 20°C, 25°C, 30°C, 37°C | SDS-PAGE, Western blot |
| Induction timing | OD600: 0.4, 0.6, 0.8, 1.0 | Yield quantification |
| IPTG concentration | 0.05 mM, 0.1 mM, 0.5 mM, 1.0 mM | Soluble vs. insoluble fraction |
| Media | LB, TB, 2×YT, M9 with supplements | Growth curves, final yield |
| Fusion partners | His, MBP, SUMO, TrxA, GST | Solubility percentage |
The selected optimization strategy should be tailored to the specific characteristics of P. mirabilis guaA and the intended experimental applications.
Ensuring reproducibility in P. mirabilis virulence studies involving guaA requires careful experimental design and rigorous controls:
Strain management and validation:
Maintain frozen stock cultures of original strains
Limit passage number to prevent accumulation of mutations
Regular verification of genetic modifications (PCR, sequencing)
Assessment of strain stability under experimental conditions
Standardized growth conditions:
Consistent media preparation protocols
Defined inoculum preparation method
Standardized growth phase for experiments
Environmental condition control (temperature, pH, oxygen)
Virulence factor assessment protocols:
Infection model consistency:
Defined animal strains, age, and gender
Consistent infection protocols and inoculum preparation
Blinded assessment of infection outcomes
Appropriate sample sizes based on power analysis
Comprehensive control groups:
A data reporting framework should include:
| Experiment Type | Essential Controls | Replication Requirements | Statistical Analysis |
|---|---|---|---|
| In vitro growth | WT, complemented strain, media controls | Biological triplicates, technical duplicates | ANOVA with post-hoc tests |
| Virulence factor assays | Positive/negative controls, buffer blanks | Minimum three independent experiments | Appropriate parametric or non-parametric tests |
| Animal infection | Sham-infected, WT-infected, complemented strain | Power analysis-determined sample size | Survival analysis or appropriate endpoint analysis |
| Transcriptional studies | Housekeeping gene normalization, no-RT controls | Biological triplicates, technical duplicates | ANOVA or t-tests with multiple testing correction |
Meticulous documentation of all methodological details, including strain construction, media composition, growth conditions, and analytical procedures, is essential for enabling other researchers to reproduce the results .