ATP-dependent carboxylate-amine ligase with weak glutamate-cysteine ligase activity.
KEGG: lpf:lpl0652
Lpl0652 is a carboxylate-amine ligase from Legionella pneumophila that belongs to the ATP-grasp superfamily of enzymes. These enzymes possess ATP-dependent carboxylate-amine ligase activity, and their catalytic mechanisms typically include acylphosphate intermediates . Based on structural similarities with other members of this superfamily, Lpl0652 likely contains the characteristic ATP-grasp fold (also known as the palmate fold), which provides a unique nucleotide-binding domain. This enzyme catalyzes the ATP-dependent formation of amide bonds between carboxylate and amine groups, playing potential roles in various biosynthetic pathways in Legionella pneumophila.
The ATP-grasp domain in Lpl0652, characteristic of the ATP-grasp superfamily, provides a specialized nucleotide-binding fold that enables the enzyme to utilize ATP for the formation of carboxylate-amine bonds . This domain typically consists of two α/β domains that "grasp" the ATP molecule between them. During catalysis, the ATP-grasp domain positions ATP for phosphorylation of the carboxylate substrate, forming a reactive acylphosphate intermediate. This activation of the carboxylate group facilitates nucleophilic attack by the amine substrate, resulting in amide bond formation. The structural arrangement of the ATP-grasp domain in Lpl0652 is critical for determining substrate specificity and catalytic efficiency, as variations in this domain among different superfamily members correlate with their diverse substrate preferences.
Recombinant Lpl0652 can be produced using several expression systems, with each offering distinct advantages depending on research requirements. The most common expression system is Escherichia coli, particularly strains optimized for recombinant protein expression such as BL21(DE3) . For enhanced solubility and yield, yeast systems (including SMD1168, GS115, and X-33), insect cell lines (Sf9, Sf21, and High Five), and mammalian cell lines (293, 293T, CHO) can also be employed .
For optimal expression in E. coli systems, the process typically involves:
Vector selection (e.g., pET28a+) with appropriate promoter and fusion tags
Transformation into expression hosts like BL21(DE3)
Induction of protein expression using IPTG (typically 0.5mM)
Cell lysis and protein purification using affinity chromatography
The choice of expression system should be based on requirements for post-translational modifications, protein solubility, and intended downstream applications.
Data tables for reporting Lpl0652 enzymatic activity should be clearly structured to facilitate interpretation and reproducibility. A properly formatted table should include:
| Substrate Concentration (mM) | ATP Concentration (mM) | Activity (μmol/min/mg) | Trial 1 | Trial 2 | Trial 3 | Mean ± SD |
|---|---|---|---|---|---|---|
| 0.5 | 2.0 | |||||
| 1.0 | 2.0 | |||||
| 2.0 | 2.0 |
The table must have a clear title describing the specific activity being measured. Column headings should include units and measurement uncertainty. Data should maintain consistent precision with the same number of decimal places (significant digits) . For complex kinetic analyses, additional columns may include calculated parameters such as initial velocities or percentage of maximum activity.
Codon optimization significantly enhances Lpl0652 expression in heterologous systems by aligning the codon usage pattern of the gene with that of the host organism. Legionella pneumophila and expression hosts like E. coli have different codon preferences, which can lead to translation inefficiencies when non-optimized genes are expressed. The optimization process involves:
Analyzing the codon usage bias of the target host organism
Replacing rare codons in the lpl0652 gene with synonymous codons that are more frequently used in the host
Eliminating potential RNA secondary structures that might impede translation
Removing or modifying regulatory sequences that could affect expression
Codon optimization services typically include gene synthesis followed by subcloning into appropriate expression vectors . This approach has been demonstrated to increase protein yield by 5-10 fold in some cases. For Lpl0652, codon optimization should particularly focus on rare arginine and leucine codons in E. coli, which often limit expression of AT-rich bacterial genes.
The selection of fusion tags for Lpl0652 purification requires balancing purification efficiency with preservation of enzymatic activity. Based on experiences with similar ATP-dependent ligases, the following tags offer distinct advantages:
For applications requiring native enzyme, tag removal using site-specific proteases (TEV, thrombin, or Factor Xa) followed by secondary purification steps is recommended. Activity assays comparing tagged versus untagged enzyme preparations are essential to determine whether the selected fusion tag affects catalytic function.
Optimizing soluble expression of Lpl0652 in E. coli requires careful adjustment of several parameters to prevent inclusion body formation while maximizing yield:
Temperature modulation: Lowering the post-induction temperature to 15-20°C significantly increases soluble protein by slowing the rate of protein synthesis and allowing proper folding. This is particularly important for complex multi-domain proteins like Lpl0652.
Induction conditions: Using a lower IPTG concentration (0.1-0.5 mM) and extending expression time (16-24 hours) often increases soluble yield . For Lpl0652, gradual induction using auto-induction media can be particularly effective.
Host strain selection: Specialized strains like Rosetta-GAMI that supply rare tRNAs and create an oxidizing cytoplasmic environment can improve correct folding of Lpl0652 .
Co-expression with chaperones: GroEL/GroES or DnaK/DnaJ/GrpE chaperone systems can significantly enhance soluble expression by facilitating proper protein folding.
Media composition: Supplementing growth media with ligands or cofactors (such as ATP or metal ions) that stabilize the protein structure can improve solubility.
Systematic optimization using design of experiments (DOE) approaches is recommended to efficiently identify optimal conditions for Lpl0652 expression, as interactions between these parameters are often complex and protein-specific.
Lpl0652, as a member of the ATP-grasp superfamily, shares the characteristic ATP-grasp fold while exhibiting structural features specific to carboxylate-amine ligases. This superfamily includes diverse enzymes such as D-alanine-D-alanine ligase, glutathione synthetase, biotin carboxylase, and carbamoyl phosphate synthetase .
Structural comparison analysis reveals:
Core domain architecture: Like other ATP-grasp enzymes, Lpl0652 likely contains three domains - the N-terminal domain, the central ATP-binding domain with the signature ATP-grasp fold, and the C-terminal domain involved in substrate binding.
ATP-binding pocket: The nucleotide-binding site in Lpl0652 would contain the conserved ATP-grasp motif, characterized by two α/β domains that "grasp" the ATP molecule between them, similar to a palmate fold .
Substrate specificity determinants: While sharing the core catalytic mechanism, Lpl0652 likely contains unique structural elements in the substrate-binding regions that distinguish it from other superfamily members and determine its specificity for particular carboxylate and amine substrates.
Evolutionary conservation: Sequence alignment with other ATP-grasp enzymes would show highest conservation in the ATP-binding regions, while substrate-binding regions would display greater sequence divergence, reflecting the functional diversification within this superfamily.
The three-dimensional structure determination of Lpl0652 through X-ray crystallography or cryo-electron microscopy would provide definitive insights into its structural similarities and differences compared to other characterized ATP-grasp superfamily members.
The enzymatic activity of Lpl0652 as a carboxylate-amine ligase can be characterized by several key kinetic parameters that provide insights into its catalytic efficiency and substrate preference. These parameters should be determined under standardized conditions (typically pH 7.5, 25-37°C) and include:
| Kinetic Parameter | Typical Range | Method of Determination |
|---|---|---|
| K<sub>m</sub> for carboxylate substrate | 10-500 μM | Michaelis-Menten analysis with varying substrate concentrations |
| K<sub>m</sub> for amine substrate | 50-1000 μM | Michaelis-Menten analysis with varying substrate concentrations |
| K<sub>m</sub> for ATP | 20-200 μM | ATP concentration variation with fixed substrate levels |
| k<sub>cat</sub> | 0.1-50 s<sup>-1</sup> | Product formation rate at saturating substrate concentrations |
| k<sub>cat</sub>/K<sub>m</sub> | 10<sup>3</sup>-10<sup>6</sup> M<sup>-1</sup>s<sup>-1</sup> | Calculated from determined k<sub>cat</sub> and K<sub>m</sub> values |
For accurate determination of these parameters, coupled enzyme assays monitoring ADP production or direct monitoring of amide bond formation can be employed. The kinetic characterization should also examine the effects of pH, temperature, and metal ion cofactors (typically Mg<sup>2+</sup>) on enzyme activity. Comparison of these parameters with those of related ATP-grasp enzymes provides valuable insights into the evolutionary and functional relationships within this enzyme superfamily .
Multiple complementary analytical techniques should be employed to comprehensively assess the purity and structural integrity of recombinant Lpl0652:
SDS-PAGE: Provides an initial assessment of protein purity and molecular weight confirmation. For Lpl0652, a single band at the expected molecular weight indicates basic purity . Densitometric analysis can quantify purity percentage.
Size Exclusion Chromatography (SEC): Evaluates protein homogeneity, detects aggregation, and provides information about the oligomeric state of Lpl0652. The elution profile should show a single symmetric peak at the expected elution volume for the monomeric or native oligomeric form.
Mass Spectrometry:
MALDI-TOF or ESI-MS confirms the exact molecular weight and sequence identity
Peptide mass fingerprinting following tryptic digestion verifies primary structure
Hydrogen-deuterium exchange MS (HDX-MS) provides insights into protein dynamics and folding
Circular Dichroism (CD) Spectroscopy: Assesses secondary structure content and thermal stability. The far-UV CD spectrum (190-260 nm) provides information about α-helical and β-sheet content, while thermal denaturation curves determine the melting temperature (Tm).
Dynamic Light Scattering (DLS): Measures size distribution and detects aggregation. A monodisperse population indicates homogeneity and proper folding.
The recommended workflow combines SDS-PAGE and Western blotting for initial purity assessment, followed by SEC for homogeneity evaluation, and finally CD spectroscopy to confirm proper folding before proceeding to functional assays .
The activity of Lpl0652 may be regulated by phosphorylation in a manner analogous to other Legionella pneumophila enzymes involved in two-component signaling systems. Drawing parallels with Lpl0329, which is regulated by the atypical histidine kinase Lpl0330, we can infer potential regulatory mechanisms for Lpl0652 :
Phosphorylation sites: Lpl0652 may contain conserved residues, typically aspartate in a receiver domain, that serve as phosphorylation sites. These sites likely undergo reversible phosphorylation in response to specific environmental signals.
Activity modulation: Phosphorylation of Lpl0652 likely induces conformational changes that directly impact its catalytic efficiency. Based on observations with similar enzymes, phosphorylation may either enhance or suppress carboxylate-amine ligase activity by altering substrate binding affinity or catalytic rate.
Cognate histidine kinase: Lpl0652 is likely regulated by a specific histidine kinase that senses environmental signals and transfers phosphoryl groups to the enzyme. This kinase may belong to the conventional family or to an atypical subfamily with unique histidine-containing motifs, similar to the HGN H box identified in Lpl0330 .
Phosphorylation dynamics: The kinetics of phosphorylation and dephosphorylation likely play crucial roles in the temporal regulation of Lpl0652 activity, allowing for rapid responses to changing environmental conditions.
Experimental approaches to investigate this regulation include site-directed mutagenesis of predicted phosphorylation sites, in vitro phosphorylation assays using purified kinases, and activity comparisons between phosphomimetic mutants (e.g., D→E substitutions) and phosphoablative mutants (e.g., D→N substitutions).
While specific information about Lpl0652's role in Legionella pneumophila pathogenesis is limited in the search results, we can infer its potential functions based on knowledge of related ATP-dependent carboxylate-amine ligases and Legionella biology:
Cell wall modification: As a carboxylate-amine ligase, Lpl0652 may participate in cell wall peptide synthesis or modification, potentially contributing to cell envelope integrity during intracellular survival within host cells.
Signaling molecule biosynthesis: Similar to how Lpl0329 is involved in c-di-GMP metabolism , Lpl0652 might catalyze the synthesis of signaling molecules or their precursors that regulate virulence gene expression or bacterial stress responses.
Host-pathogen interactions: Lpl0652 could synthesize compounds that modulate host cell functions, similar to how some bacterial effector proteins modify host signaling pathways.
Environmental adaptation: The enzyme may be upregulated during specific stages of the Legionella lifecycle, particularly during transitions between extracellular survival, host cell invasion, intracellular replication, and release phases.
Research approaches to elucidate Lpl0652's role include:
Creating lpl0652 deletion mutants and assessing their virulence in cell culture and animal models
Identifying the natural substrates of Lpl0652 through metabolomic comparisons of wild-type and mutant strains
Analyzing lpl0652 expression patterns during different stages of infection using transcriptomics
Determining the localization of Lpl0652 within the bacterial cell and during host infection
Understanding Lpl0652's role in pathogenesis could potentially identify new targets for therapeutic intervention against Legionella infections.
Developing a robust high-throughput screening (HTS) platform for Lpl0652 inhibitors requires careful assay design and optimization:
Primary assay development:
Coupled-enzyme assays measuring ATP consumption (e.g., luciferase-based detection of remaining ATP)
Direct detection of ADP production using fluorescent antibodies or ADP sensors
Measurement of pyrophosphate release using fluorescent probes
FRET-based assays using labeled substrate analogs to detect conformational changes upon binding
Assay optimization parameters:
Signal-to-background ratio: Optimize enzyme and substrate concentrations to achieve S/B > 5
Z'-factor: Fine-tune assay conditions to achieve Z' > 0.7 for robust screening
DMSO tolerance: Characterize enzyme activity at various DMSO concentrations (typically up to 2%)
Miniaturization: Validate performance in 384-well or 1536-well formats to minimize reagent consumption
Compound library selection:
Focus on compound classes known to target ATP-binding proteins
Include natural product libraries, as many ATP-competitive inhibitors derive from natural sources
Design fragment libraries targeting the unique structural features of the ATP-grasp fold
Screening cascade:
Primary screen at single concentration (typically 10 μM)
Dose-response confirmation of hits (IC₅₀ determination)
Counter-screening against related ATP-utilizing enzymes to assess selectivity
Orthogonal assays to confirm mechanism of action
Hit validation and characterization:
Enzyme kinetics to determine inhibition mechanism (competitive, noncompetitive, uncompetitive)
Thermal shift assays to confirm direct binding
Surface plasmon resonance or isothermal titration calorimetry to determine binding constants
This comprehensive approach maximizes the likelihood of identifying selective Lpl0652 inhibitors while minimizing false positives and resource investment.
A multi-technique structural biology approach provides the most comprehensive understanding of Lpl0652's substrate-binding mechanism:
X-ray crystallography:
Highest resolution technique (potentially sub-2Å) for detailed active site visualization
Crystallization of Lpl0652 in multiple states:
Apo-enzyme
ATP/ADP-bound form
Carboxylate substrate-bound form
Amine substrate-bound form
Transition state analogs to capture catalytic intermediates
Challenges include obtaining well-diffracting crystals and capturing transient complexes
Cryo-electron microscopy (cryo-EM):
Particularly valuable if Lpl0652 exists in multiple conformational states
Can capture conformational ensemble without crystal packing constraints
Recent advances allow near-atomic resolution for proteins >100 kDa
Complementary to crystallography for flexible regions
Nuclear Magnetic Resonance (NMR) spectroscopy:
Provides dynamic information about substrate binding and conformational changes
Chemical shift perturbation experiments to map binding interfaces
Relaxation dispersion techniques to characterize μs-ms timescale motions during catalysis
Size limitations may require domain-based analysis for full-length Lpl0652
Molecular dynamics simulations:
Integrate experimental structural data to simulate substrate approach and binding
Characterize transient interactions and water networks in the active site
Free energy calculations to quantify binding energetics and pathways
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Maps regions of altered solvent accessibility upon substrate binding
Identifies allosteric effects remote from the active site
Requires less protein than crystallography and works with challenging targets
The integration of data from these complementary approaches would provide unprecedented insights into the structural basis of substrate recognition and catalysis by Lpl0652.
A systematic site-directed mutagenesis approach can elucidate the catalytic mechanism of Lpl0652 by identifying functionally critical residues:
Rational design of mutations based on:
Sequence alignment with characterized ATP-grasp superfamily members to identify conserved residues
Homology modeling to predict residues in the ATP-binding pocket, carboxylate-binding site, and amine-binding region
Predicted catalytic residues involved in ATP activation and nucleophilic attack
Types of mutations to introduce:
Conservative substitutions (e.g., D→E, K→R) to test the importance of functional groups
Non-conservative substitutions (e.g., D→A, K→A) to completely eliminate side chain functionality
Substitutions targeting different properties:
Charged residues: test electrostatic interactions
Aromatic residues: examine π-stacking or hydrophobic interactions
Proline: investigate conformational constraints
Experimental workflow:
Generate a panel of single-site mutants using QuikChange or Q5 mutagenesis
Express and purify mutants using identical conditions as wild-type
Perform parallel characterization:
Structural integrity assessment (CD spectroscopy, thermal stability)
Steady-state kinetic analysis (kcat, Km determination)
Pre-steady state kinetics to identify rate-limiting steps
Substrate binding studies (ITC, fluorescence anisotropy)
Data analysis and interpretation:
Classify mutations based on effects on:
Substrate binding (altered Km)
Chemical catalysis (reduced kcat with unchanged Km)
Protein stability (global structural effects)
Construct free energy diagrams comparing wild-type and mutants
Map results onto structural models to build a comprehensive catalytic model
This approach has successfully elucidated mechanisms of other ATP-grasp enzymes and would provide valuable insights into Lpl0652's unique features within this superfamily .
Inclusion body formation is a common challenge when expressing recombinant Lpl0652. A systematic approach to troubleshooting includes:
Prevention strategies:
Lower expression temperature (15-18°C) to slow protein synthesis and folding rates
Reduce inducer concentration (0.1-0.2 mM IPTG) to decrease expression rate
Use specialized expression strains (Rosetta-GAMI, ArcticExpress) that enhance proper folding
Co-express molecular chaperones (GroEL/GroES, DnaK/DnaJ/GrpE) to assist folding
Fusion to solubility-enhancing tags (MBP, SUMO, TrxA, NusA) rather than small purification tags
Optimize media composition (additives like sorbitol, betaine, or metal ions)
Refolding approaches when prevention fails:
Isolate inclusion bodies with multiple washing steps to remove contaminants
Solubilize using chaotropic agents (8M urea or 6M guanidine hydrochloride)
Perform controlled refolding by:
Rapid dilution into refolding buffer with redox pairs (GSH/GSSG)
Dialysis with stepwise reduction of denaturant concentration
On-column refolding using immobilized metal affinity chromatography
Include stabilizing additives during refolding (arginine, sucrose, polyethylene glycol)
Activity recovery analysis:
Compare specific activity of refolded protein to natively folded samples
Assess structural integrity using biophysical techniques (CD spectroscopy, fluorescence)
Examine oligomeric state using SEC or native PAGE
Empirical optimization using Design of Experiments (DoE):
Test combinations of factors affecting solubility
Use statistical analysis to identify significant factors and interactions
Implement iterative optimization to achieve maximum soluble yield
These approaches should be evaluated systematically, measuring protein yield, purity, and specific activity at each step to determine the most effective strategy for obtaining functional Lpl0652 .
Accurately distinguishing enzymatic from non-enzymatic ATP hydrolysis is critical for reliable characterization of Lpl0652 activity. Several methodological approaches address this challenge:
Proper experimental controls:
No-enzyme control: Include reaction mixtures without Lpl0652 to quantify background ATP hydrolysis
Heat-inactivated enzyme control: Compare with active enzyme under identical conditions
Substrate omission controls: Measure ATP hydrolysis in the absence of carboxylate or amine substrates
Time zero measurements: Immediately quench reactions to establish baseline values
Optimized reaction conditions to minimize non-enzymatic hydrolysis:
Maintain pH between 7.0-7.5 (ATP is more stable in this range)
Use freshly prepared ATP solutions (avoid freeze-thaw cycles)
Include metal ion chelators (EDTA) in stock solutions to prevent metal-catalyzed hydrolysis
Minimize reaction temperature when possible
Direct product detection methods:
Track formation of the carboxylate-amine product directly (LC-MS, HPLC)
Monitor pyrophosphate release using specific enzyme-coupled assays
Develop isotope-labeled substrate approaches to track product formation
Data analysis approaches:
Subtract background rates from all experimental conditions
Implement statistical methods to determine significance of enzymatic activity
Use progress curve analysis to distinguish initial rates from later time points
Validation with enzyme-specific inhibitors or mutations:
Compare activity with catalytically inactive mutants (e.g., D→N in metal-binding sites)
Use ATP-competitive inhibitors to confirm enzymatic contribution
These approaches ensure that measured activity truly reflects Lpl0652 catalysis rather than experimental artifacts, providing reliable kinetic parameters and mechanistic insights.
Designing robust assays to identify and characterize novel substrates for Lpl0652 requires careful consideration of multiple factors:
Primary screening approaches:
ATP consumption assays (luciferase-coupled) to screen diverse carboxylate and amine combinations
ADP formation detection using enzyme-coupled systems (pyruvate kinase/lactate dehydrogenase)
Pyrophosphate release assays using fluorescent probes
Mass spectrometry-based approaches to directly detect product formation
Substrate library design considerations:
Rational selection based on:
Structural similarity to known substrates of related ATP-grasp enzymes
Bioinformatic prediction of metabolic pathways involving Lpl0652
Natural metabolites present in Legionella pneumophila
Chemical diversity to explore substrate scope:
Varying carboxylate chain length, branching, and functional groups
Primary, secondary, and cyclic amines
Amino acids and peptides as potential physiological substrates
Assay validation parameters:
Signal linearity with respect to enzyme concentration and time
Substrate saturation curves to establish Km values
Controls to confirm ATP-dependence of observed reactions
Product confirmation by orthogonal analytical methods (LC-MS, NMR)
Data analysis framework:
Calculate catalytic efficiency (kcat/Km) for each substrate combination
Develop structure-activity relationships to identify key recognition features
Compare relative activities across substrate panels using consistent conditions
Apply multivariate statistical analysis to complex substrate libraries
Physiological relevance assessment:
Evaluate substrate availability in cellular context
Compare kinetic parameters with estimated physiological concentrations
Investigate metabolic context through pathway analysis
This systematic approach enables comprehensive characterization of Lpl0652's substrate preference profile while providing insights into its physiological function within Legionella pneumophila metabolism.
Crystallographic studies of Lpl0652 would provide crucial structural insights to enable rational inhibitor design through multiple avenues:
Active site architecture characterization:
Mapping the ATP-binding pocket geometry and key interactions
Identifying unique features of the carboxylate and amine substrate binding sites
Elucidating water networks and potential displacement sites
Characterizing conformational changes during catalytic cycle
Structure-based virtual screening approaches:
Generate pharmacophore models based on substrate binding determinants
Perform molecular docking against diverse compound libraries
Apply fragment-based approaches to identify binding hotspots
Design focused libraries targeting specific subpockets
Comparative analysis with related ATP-grasp enzymes:
Identify regions of structural conservation across the superfamily
Highlight unique structural features of Lpl0652 for selectivity
Apply lessons from successful inhibitor development for related enzymes
Leverage evolutionary analysis to predict functionally critical residues
Rational inhibitor design strategies:
Bisubstrate analog approach combining ATP and carboxylate/amine mimetics
Targeting transition state conformations for higher binding affinity
Exploiting induced-fit conformational changes for selectivity
Designing allosteric inhibitors targeting regulatory sites
Iterative structure-activity refinement:
Co-crystallize lead compounds to validate binding modes
Systematic modification of scaffolds guided by structural data
Structure-guided optimization of physicochemical properties
Exploration of unexploited binding pockets for novel chemotypes
The crystal structure would also inform the creation of homology models for related bacterial enzymes, allowing prediction of spectrum of activity and potential for broad-spectrum applications of developed inhibitors .
Investigating Lpl0652's role in bacterial signaling networks requires a multi-faceted approach combining genetics, biochemistry, and systems biology:
Genetic manipulation and phenotypic analysis:
Generate lpl0652 deletion and overexpression strains
Perform phenotypic characterization under various stress conditions
Conduct epistasis analysis with known signaling components
Create reporter fusions to monitor lpl0652 expression patterns
Interactome mapping:
Bacterial two-hybrid screening to identify protein-protein interactions
Co-immunoprecipitation followed by mass spectrometry
Proximity labeling approaches (BioID, APEX) in vivo
Protein chip or peptide array analysis for kinase-substrate relationships
Post-translational modification analysis:
Phosphoproteomics comparing wild-type and lpl0652 mutants
Site-directed mutagenesis of predicted phosphorylation sites
In vitro phosphorylation assays with purified kinases
Mass spectrometry to identify other modifications (acetylation, methylation)
Signaling pathway reconstruction:
Metabolomics to identify changes in signaling molecule levels
Transcriptomics to map regulons affected by lpl0652 mutation
ChIP-seq to identify transcription factors linked to Lpl0652 function
Mathematical modeling to integrate multi-omics datasets
Connection to two-component signaling systems:
This comprehensive approach would place Lpl0652 within the context of Legionella pneumophila's signaling networks and provide insights into how its enzymatic activity contributes to bacterial responses to environmental cues.