KEGG: dvu:DVU0900
STRING: 882.DVU0900
Guanylate kinase (GMK) is an essential enzyme that catalyzes the phosphorylation of guanosine monophosphate (GMP) to form guanosine diphosphate (GDP), which serves as a precursor for GTP biosynthesis . In Desulfovibrio vulgaris, as in other bacteria, GMK plays a critical role in nucleotide metabolism and energy transfer. The enzyme is particularly important in sulfate-reducing bacteria like D. vulgaris because proper nucleotide balance is essential for their unique energy metabolism pathways. GMK function is often regulated during stress responses, particularly through interactions with alarmone molecules like (p)ppGpp that help bacteria adapt to changing environmental conditions .
While the search results don't explicitly provide kinetic parameters for D. vulgaris GMK, we can make comparisons based on phylogenetic relationships. The kinetic parameters of GMK vary significantly across bacterial species, as shown in the table below:
| Species | k<sub>cat</sub> (sec<sup>-1</sup>) | K<sub>m</sub> (μM) | K<sub>i</sub> (μM) | Inhibition Mode | Phylum/Class |
|---|---|---|---|---|---|
| B. subtilis | 23.0 ± 1.0 | 24.6 ± 3.4 | 13.5 ± 2.1 | Competitive | Firmicutes |
| S. aureus | 72.9 ± 7.2 | 35.1 ± 7.1 | 8.2 ± 0.4/7.0 ± 0.9 | Competitive | Firmicutes |
| D. radiodurans | 44.5 ± 4.4 | 17.8 ± 5.4 | 1.6 ± 0.4 | Competitive | Deinococcus-Thermus |
| T. thermophilus | 4.8 ± 0.4 | 17.5 ± 4.1 | 2.9 ± 0.5 | Competitive | Deinococcus-Thermus |
As a deltaproteobacterium, D. vulgaris GMK likely has characteristics more similar to other proteobacteria, where (p)ppGpp regulation mechanisms differ from those in Firmicutes . Research indicates significant diversity in GMK regulation across bacterial phyla, with proteobacteria generally employing different regulatory mechanisms than Firmicutes, Actinobacteria, and Deinococcus-Thermus .
For successful expression of recombinant D. vulgaris GMK, researchers should consider the following methodological approach:
Vector selection: pET-based expression systems with T7 promoters generally work well for expressing recombinant GMK.
Host strain: E. coli BL21(DE3) or similar strains designed for expression of potentially toxic proteins.
Growth conditions: Optimal expression typically occurs at lower temperatures (16-25°C) after induction, which helps with protein folding.
Anaerobic considerations: Since D. vulgaris is an obligate anaerobe , some protein folding characteristics might be affected by oxygen exposure. Consider including reducing agents in buffers.
Induction strategy: Use lower IPTG concentrations (0.1-0.5 mM) and longer expression times to maximize soluble protein yield.
Researchers should verify expression using SDS-PAGE and Western blotting before proceeding to purification steps.
A multi-step purification protocol is typically necessary to obtain high-purity recombinant D. vulgaris GMK:
Affinity chromatography: His-tagged GMK can be purified using Ni-NTA resin, with elution using an imidazole gradient (50-300 mM).
Buffer optimization: Include reducing agents (DTT or β-mercaptoethanol) to prevent oxidation, and glycerol (10-20%) to enhance stability.
Ion exchange chromatography: As a second purification step, using Q-Sepharose or similar matrices.
Size exclusion chromatography: For final polishing and to verify the oligomeric state of the purified enzyme.
Quality control: Assess purity by SDS-PAGE and confirm identity using mass spectrometry or N-terminal sequencing.
Activity assays should be performed immediately after purification to confirm that the enzyme remains functional, using methods such as coupled spectrophotometric assays that monitor ADP production.
The mechanism of (p)ppGpp regulation varies significantly across bacterial phyla. In Firmicutes such as B. subtilis, (p)ppGpp directly inhibits GMK activity through competitive inhibition, binding to the enzyme's active site . This inhibition prevents GMP conversion to GDP, resulting in GMP accumulation during stress conditions .
Methodologically, researchers investigating these interactions should:
Perform enzyme kinetic assays with purified D. vulgaris GMK in the presence of varying concentrations of (p)ppGpp
Apply Hanes-Woolf or Lineweaver-Burk analyses to determine the inhibition mode
Use structural biology approaches (X-ray crystallography or cryo-EM) to visualize potential binding interactions
Compare results with those from other bacterial phyla to establish evolutionary patterns of regulation
In D. vulgaris, GMK likely plays a critical role in stress adaptation, particularly during sulfate limitation or alkaline stress. While the molecular mechanisms are not fully characterized, the following methodological approaches can help elucidate its role:
Analyze GMK activity during different stress conditions, including alkaline stress which has been studied in D. vulgaris .
Investigate GMK expression levels using qRT-PCR or RNA-seq under various stress conditions.
Generate conditional GMK mutants in D. vulgaris using the transposon mutagenesis approach demonstrated in recent studies .
Monitor nucleotide pools (especially GMP, GDP, and GTP) during stress responses using LC-MS approaches.
Correlate changes in GMK activity with broader transcriptomic and proteomic responses to identify regulatory networks.
Research on D. vulgaris Hildenborough has revealed complex stress response mechanisms, including upregulation of L-aspartate oxidase during alkaline stress . Given the interconnection of nucleotide metabolism with various stress responses, GMK likely interfaces with these pathways, potentially affecting energy conservation during stress conditions.
The recently developed randomly barcoded transposon mutant library (RB-TnSeq) for D. vulgaris Hildenborough provides a powerful tool for investigating GMK function . This methodological approach can be applied as follows:
Identify GMK and associated genes in the transposon library and analyze their fitness contributions across the 757 BarSeq fitness assays already generated .
Design specific growth conditions that would highlight GMK function, such as GTP limitation or (p)ppGpp induction.
Compare fitness profiles of GMK mutants with those in related pathways to identify functional connections.
Use the conditional essentiality data to build metabolic models that incorporate GMK function.
Apply this approach to investigate potential redundancy in nucleotide metabolism pathways.
The RB-TnSeq library has already provided insights into vitamin synthesis pathways in D. vulgaris, identifying proteins like DVU0867 (an atypical L-aspartate decarboxylase) . Similar approaches could reveal previously unknown functions or regulatory connections for GMK in this important sulfate-reducing bacterium.
Understanding the structural basis of D. vulgaris GMK function requires:
Homology modeling based on known GMK structures, particularly from related Proteobacteria.
Identification of conserved motifs for substrate binding and catalysis through multiple sequence alignments.
Site-directed mutagenesis of predicted key residues to verify their functional importance.
Structural studies using X-ray crystallography or cryo-EM, particularly with bound substrates or inhibitors.
Molecular dynamics simulations to understand conformational changes during catalysis.
Research on GMKs from different bacteria has shown that specific residues determine sensitivity to inhibitors like (p)ppGpp . In Firmicutes, (p)ppGpp competitively inhibits GMK by binding to the active site . The specific residues mediating this interaction in D. vulgaris GMK should be investigated to understand its regulatory mechanisms.
Recent research has provided insights into nitrogen assimilation in D. vulgaris , and GMK may interface with these pathways through nucleotide metabolism. Investigation of these interactions requires:
Metabolic flux analysis using isotope-labeled precursors to trace connections between nucleotide and nitrogen metabolism.
Comparative analysis of GMK activity under different nitrogen sources identified in the transposon library studies .
Correlation of GMK expression with nitrogen-responsive genes using transcriptomic data.
Study of potential protein-protein interactions between GMK and nitrogen metabolism enzymes using pull-down assays or bacterial two-hybrid systems.
Computational modeling of metabolic networks that connect GTP metabolism with nitrogen assimilation pathways.
Understanding these interactions could provide insights into how D. vulgaris coordinates energy metabolism with nitrogen assimilation, particularly under stress conditions.
Several methodological approaches can be used to measure GMK activity in D. vulgaris systems:
Coupled enzyme assays: Link ADP production by GMK to NADH oxidation via pyruvate kinase and lactate dehydrogenase, allowing spectrophotometric monitoring at 340 nm.
Direct measurement of product formation: Use HPLC or LC-MS to quantify GDP formation from GMP.
Radioisotope assays: Employ [γ-32P]ATP to monitor transfer of labeled phosphate to GMP.
Malachite green assay: Detect inorganic phosphate release in reactions coupled with nucleoside diphosphate kinase.
Real-time NMR: Monitor substrate conversion in real-time for detailed kinetic analysis.
When designing these assays, researchers should consider the potential for anaerobic enzyme characteristics, given D. vulgaris' nature as an obligate anaerobe . Control experiments should verify linearity with respect to time and enzyme concentration, and account for potential interfering activities in crude extracts.
A systematic approach to site-directed mutagenesis should include:
Target selection:
Mutation strategy:
Conservative substitutions (e.g., Asp to Glu) to probe specific chemical requirements
Non-conservative substitutions to drastically alter function
Alanine scanning of suspected functional regions
Introduction of residues from GMKs with different regulatory properties
Functional assessment:
Enzyme kinetics with natural substrates (GMP, ATP)
Inhibition studies with (p)ppGpp
Protein stability measurements using thermal shift assays
Structural verification using circular dichroism or limited proteolysis
This methodological approach has successfully identified residues mediating (p)ppGpp binding in GMKs from Firmicutes and could be adapted to investigate D. vulgaris GMK function.
Multi-omics integration provides powerful insights into GMK regulation:
Experimental design:
Data analysis workflow:
Identify differential expression of GMK and related genes/proteins
Apply pathway enrichment analysis to identify coordinated responses
Use correlation networks to identify co-regulated genes/proteins
Integrate with metabolomics data if available, particularly nucleotide measurements
Validation approaches:
This integrative approach can reveal regulatory mechanisms that might not be apparent from single-omics approaches, particularly post-transcriptional regulation that affects GMK activity.
When faced with contradictory findings, researchers should employ:
Methodological reconciliation:
Genetic approaches:
Multiple analytical platforms:
Apply diverse techniques to measure the same parameters
Use in vitro and in vivo approaches to bridge artificial and physiological conditions
Implement isotope labeling to track metabolic fluxes through pathways involving GMK
Collaborative verification:
Establish inter-laboratory studies to validate critical findings
Share biological materials and detailed protocols to ensure reproducibility
These approaches can help resolve apparent contradictions that may arise from methodological differences or complex regulatory mechanisms affecting GMK function in D. vulgaris.
Future research should focus on:
Comparative analysis of GMK structure and function across diverse SRBs to understand evolutionary adaptations.
Investigation of GMK's role in the unique energy metabolism of D. vulgaris, particularly during electron acceptor limitation.
Exploration of GMK as a potential target for selective inhibition of sulfate-reducing bacteria in industrial contexts.
Detailed characterization of the interactions between GMK and stress response networks, building on existing knowledge of D. vulgaris stress responses .
Integration of GMK function into systems-level models of D. vulgaris metabolism, using the extensive data generated from the transposon library studies .