Function: This protein, a uridylyltransferase (GlnD), modifies PII regulatory proteins (GlnB and homologs) through uridylylation and deuridylylation, responding to cellular nitrogen status sensed by GlnD via glutamine levels. Under low glutamine, it catalyzes the conversion of PII proteins and UTP to PII-UMP and PPi. Conversely, under high glutamine levels, it hydrolyzes PII-UMP to PII and UMP (deuridylylation). This controls the uridylylation state and activity of PII proteins, playing a crucial role in regulating nitrogen fixation and metabolism.
KEGG: msu:MS1305
STRING: 221988.MS1305
[Protein-PII] uridylyltransferase (glnD) is a key enzyme involved in nitrogen metabolism regulation in bacteria including M. succiniciproducens. It functions by post-translationally modifying PII proteins through uridylylation/deuridylylation in response to nitrogen availability. The enzyme catalyzes the transfer of UMP groups to PII proteins when nitrogen is limited and removes these groups when nitrogen is abundant. This mechanism enables bacteria to adjust their metabolic pathways according to environmental nitrogen conditions, which is particularly important for organisms used in metabolic engineering applications for succinic acid production .
For optimal stability and activity retention, recombinant [Protein-PII] uridylyltransferase should be stored according to its formulation:
Liquid formulations maintain stability for approximately 6 months at -20°C/-80°C
Lyophilized formulations remain stable for up to 12 months at -20°C/-80°C
Working aliquots can be maintained at 4°C for up to one week, but repeated freeze-thaw cycles should be strictly avoided as they significantly diminish enzyme activity. For reconstitution of lyophilized protein, use deionized sterile water to achieve a concentration of 0.1-1.0 mg/mL, followed by addition of glycerol to a final concentration of 5-50% (optimally 50%) before aliquoting for long-term storage .
Recombinant M. succiniciproducens proteins, including [Protein-PII] uridylyltransferase, can be successfully expressed in several systems with distinct advantages:
| Expression System | Advantages | Considerations |
|---|---|---|
| Yeast systems | Post-translational modifications, high yield | Different glycosylation patterns than bacterial proteins |
| E. coli | Rapid growth, simple cultivation, high yields | May form inclusion bodies, lacks post-translational modifications |
| C. glutamicum | Related to Mannheimia, similar cellular environment | Slower growth than E. coli |
Yeast expression systems have been successfully employed for producing recombinant [Protein-PII] uridylyltransferase with purity levels exceeding 85% as determined by SDS-PAGE analysis . When developing expression systems, optimization of experimental conditions through Design of Experiments (DoE) approaches rather than one-factor-at-a-time methods significantly improves production efficiency .
DoE methodology provides a systematic approach to optimize recombinant [Protein-PII] uridylyltransferase production by:
Defining critical factors affecting protein expression (temperature, inducer concentration, media composition, pH)
Designing a minimal set of experiments that captures factor interactions
Developing statistical models that predict optimal conditions
Unlike the inefficient one-factor-at-a-time approach, DoE simultaneously evaluates multiple variables and their interactions, enabling researchers to identify optimal production conditions with fewer experiments. For recombinant protein production, response surface methodology (RSM) is particularly valuable for identifying the optimal balance of factors affecting expression level, solubility, and activity.
Implementation involves:
Initial screening designs (Plackett-Burman) to identify significant factors
Optimization designs (central composite, Box-Behnken) to determine optimal settings
Verification experiments to confirm model predictions
Available software packages facilitate DoE implementation, from experimental design through statistical analysis, making this approach accessible to researchers without extensive statistical backgrounds .
Purification of recombinant [Protein-PII] uridylyltransferase to high purity (>85%) involves a strategic multi-step approach:
Initial clarification: Cell lysis followed by centrifugation to remove cellular debris
Capture phase: Affinity chromatography utilizing appropriate tags determined during the manufacturing process
Intermediate purification: Ion exchange chromatography based on the protein's theoretical pI
Polishing phase: Size exclusion chromatography to remove aggregates and achieve final purity
For quality control, SDS-PAGE analysis confirms purity levels exceeding 85%, which is standard for research-grade recombinant proteins . The purification strategy must be optimized for each specific construct, considering the protein's unique physicochemical properties and the presence of any affinity tags.
The relationship between [Protein-PII] uridylyltransferase activity and succinic acid production in M. succiniciproducens involves complex nitrogen-carbon metabolism integration:
Nitrogen sensing: [Protein-PII] uridylyltransferase acts as a nitrogen sensor, modifying PII proteins based on intracellular glutamine levels
Metabolic flux regulation: Modified PII proteins influence key enzymes in central carbon metabolism, including those in succinic acid production pathways
Integration with gene knockouts: In metabolically engineered M. succiniciproducens strains optimized for succinic acid production (such as the LPK7 strain), nitrogen metabolism must be balanced with carbon flux
The LPK7 strain, with disruptions in the ldhA, pflB, pta, and ackA genes, produces 13.4 g/liter of succinic acid from 20 g/liter glucose with minimal by-product formation, achieving a yield of 0.97 mol succinic acid per mol glucose . Understanding the role of [Protein-PII] uridylyltransferase in this context may provide opportunities for further optimization of nitrogen utilization efficiency during succinic acid production.
While detailed structural information specific to M. succiniciproducens [Protein-PII] uridylyltransferase is limited in the provided sources, we can infer likely structural characteristics based on homologous proteins:
Domain organization: Typically contains an N-terminal nucleotidyltransferase domain, central sensor domain, and C-terminal ACT domain
Active site architecture: Conserved catalytic residues coordinating ATP and facilitating UMP transfer
Species-specific variations: Likely contains unique surface residues that affect substrate specificity and regulatory interactions
Similar to how structural comparisons between M. succiniciproducens MDH and C. glutamicum MDH revealed key residues influencing enzyme activity and substrate inhibition , comparative structural analysis of [Protein-PII] uridylyltransferase from different species could identify residues responsible for species-specific regulatory properties. Identification of these distinctive features would enable targeted protein engineering to enhance desired characteristics.
Protein engineering strategies to enhance [Protein-PII] uridylyltransferase catalytic properties can be approached through:
Rational design: Based on structural insights and sequence analysis
Targeting active site residues to modify substrate affinity
Modifying allosteric sites to alter regulatory properties
Engineering surface residues to improve protein stability
Directed evolution: Creating and screening libraries for improved variants
Error-prone PCR to generate random mutations
DNA shuffling to recombine beneficial mutations
Site-saturation mutagenesis of key residues
As demonstrated with malate dehydrogenase in M. succiniciproducens, even single amino acid substitutions can dramatically impact enzyme performance. For example, the G11Q variant of M. succiniciproducens MDH showed significantly improved catalytic properties, leading to enhanced succinic acid production when expressed in engineered strains . Similar approaches could identify critical residues in [Protein-PII] uridylyltransferase that, when modified, improve its regulatory function in nitrogen metabolism.
The integration of [Protein-PII] uridylyltransferase activity with the gene knockout strategy for enhanced succinic acid production involves complex metabolic interconnections:
Redox balance effects: The deletion of ldhA, pflB, pta, and ackA genes in strains like LPK7 alters redox balance (NAD+/NADH ratio), which indirectly impacts nitrogen metabolism regulated by [Protein-PII] uridylyltransferase
Precursor availability: Modified carbon flux resulting from gene knockouts changes the availability of α-ketoglutarate, a key intermediate connecting carbon and nitrogen metabolism
Regulatory crosstalk: Signals processed by [Protein-PII] uridylyltransferase influence expression of genes involved in carbon metabolism
In the LPK7 strain, disruption of ldhA, pflB, pta, and ackA genes redirects carbon flux toward succinic acid production, achieving yields of 0.97 mol succinic acid per mol glucose with minimal by-product formation . Understanding how [Protein-PII] uridylyltransferase activity responds to these altered metabolic conditions could reveal strategies to further optimize nitrogen utilization efficiency during high-yield succinic acid production.
Comprehensive analysis of [Protein-PII] uridylyltransferase activity in metabolically engineered strains requires multiple complementary approaches:
| Analytical Method | Information Provided | Technical Considerations |
|---|---|---|
| Radioactive assays | Direct measurement of UMP transfer rates | Highest sensitivity, requires radioisotope handling |
| Spectrophotometric coupled assays | Continuous real-time activity monitoring | Indirect measurement, potential interference from cellular components |
| Mass spectrometry | Precise quantification of modified vs. unmodified PII proteins | Excellent for in vivo studies, requires specialized equipment |
| Western blotting | Semi-quantitative analysis of protein levels | Requires specific antibodies, limited quantitative precision |
For in vivo studies monitoring [Protein-PII] uridylyltransferase activity during fermentation, techniques that can distinguish between modified and unmodified PII proteins are essential. This information, when correlated with carbon flux measurements and succinic acid production rates, provides insights into the dynamic relationship between nitrogen sensing and carbon metabolism under production conditions.
Future integration of [Protein-PII] uridylyltransferase regulation with metabolic flux optimization will likely employ multi-omics approaches:
Genome-scale metabolic models: Incorporating nitrogen regulatory networks into existing carbon metabolism models
Dynamic flux balance analysis: Predicting how [Protein-PII] uridylyltransferase activity affects metabolic flux distribution under changing conditions
Regulatory-metabolic network integration: Developing computational tools that predict how nitrogen signaling influences carbon metabolism during fermentation
Such integrated approaches could guide the development of M. succiniciproducens strains with coordinated carbon and nitrogen metabolism optimization. Current metabolically engineered strains like LPK7 achieve high succinic acid yields (0.97 mol/mol glucose) , while more advanced strains expressing optimized enzymes like C. glutamicum MDH reach productivities of 21.3 g/L/h and titers of 134.25 g/L . Integration of nitrogen metabolism optimization could potentially push these metrics even higher.
CRISPR-Cas9 genome editing offers precise approaches for optimizing [Protein-PII] uridylyltransferase function in M. succiniciproducens:
Promoter engineering: Modifying native promoter elements to fine-tune expression levels
Single nucleotide modifications: Introducing specific amino acid changes identified through structural studies
Regulatory element engineering: Modifying regulatory sequences that control expression in response to environmental conditions
Multiplex editing: Simultaneously modifying [Protein-PII] uridylyltransferase and related components of the nitrogen regulatory network
The advantages of CRISPR-Cas9 over traditional methods include higher efficiency, ability to make marker-free modifications, and capacity for multiplexed editing. Learning from previous metabolic engineering success in M. succiniciproducens, where enzyme optimization of malate dehydrogenase significantly improved succinic acid production , similar precision engineering of [Protein-PII] uridylyltransferase could enhance nitrogen metabolism regulation in production strains.