Recombinant Escherichia coli Protein YhjK, also known as yhjK, is a protein expressed in Escherichia coli and is associated with the gene pdeK. This gene encodes a probable cyclic di-GMP phosphodiesterase, which plays a role in bacterial signaling pathways by regulating the levels of cyclic di-GMP (c-di-GMP), a key second messenger involved in various cellular processes such as biofilm formation and motility .
The recombinant YhjK protein is a full-length protein consisting of 662 amino acids. It is expressed in E. coli and is available with an N-terminal His tag, which facilitates purification using affinity chromatography. The protein is provided in a lyophilized powder form and has a purity of greater than 90% as determined by SDS-PAGE .
| Characteristics | Description |
|---|---|
| Species | Escherichia coli |
| Source | Escherichia coli |
| Tag | N-terminal His tag |
| Protein Length | Full Length (1-662 amino acids) |
| Form | Lyophilized powder |
| Purity | Greater than 90% (SDS-PAGE) |
The expression of recombinant proteins in E. coli is a well-established method, offering high yields and efficient purification processes. E. coli is favored for its robust expression systems, including various plasmids and engineered strains that enhance protein production . The His tag on the YhjK protein allows for efficient purification using nickel affinity chromatography, which is a common method for purifying recombinant proteins with high specificity and yield .
Function: Recombinant Escherichia coli Protein YhjK (yhjK) is a phosphodiesterase (PDE) that catalyzes the hydrolysis of cyclic-di-GMP (c-di-GMP) to 5'-pGpG.
KEGG: ecj:JW5943
STRING: 316385.ECDH10B_3706
YhjK is a predicted diguanylate cyclase protein found in Escherichia coli with a molecular weight of approximately 74,381 Da. Structurally, it contains multiple functional domains: a central GGDEF putative diguanylate cyclase domain, a C-terminal EAL domain (putative cyclic-di-GMP phosphodiesterase), and a HAMP domain. YhjK is characterized as an inner membrane protein with three predicted transmembrane domains, classifying it as a multi-pass membrane protein . These structural features suggest its involvement in cyclic-di-GMP signaling pathways, which are critical for bacterial cellular processes.
YhjK is primarily localized to the cell membrane of E. coli as a multi-pass membrane protein. Expression studies have demonstrated that YhjK is specifically expressed at 28 degrees Celsius during the stationary phase of bacterial growth . This temperature-dependent and growth phase-specific expression pattern suggests a specialized role in bacterial adaptation to environmental conditions, potentially related to stress responses or biofilm formation regulation through its predicted diguanylate cyclase activity.
Unlike many other diguanylate cyclases, YhjK contains both GGDEF and EAL domains, suggesting it may function as a dual-activity enzyme capable of both synthesizing and degrading cyclic-di-GMP depending on cellular conditions. The presence of a HAMP domain further distinguishes YhjK, as this domain typically functions in signal transduction, potentially allowing YhjK to respond to specific environmental cues . Experimental approaches to differentiate its activity from other similar proteins would include domain-specific mutagenesis, activity assays under various conditions, and in vivo studies examining phenotypic changes when YhjK is deleted or overexpressed.
For recombinant YhjK production, E. coli-based expression systems are commonly employed due to their well-established protocols and cost-effectiveness. The T7 promoter system present in pET vectors has demonstrated success for many membrane proteins, potentially allowing YhjK to represent up to 50% of total cell protein in optimal conditions . For membrane proteins like YhjK, specialized strains such as C41(DE3) or C43(DE3) may provide better results by accommodating the additional membrane stress. When high purity is required for structural studies, alternative expression systems including yeast, baculovirus, or mammalian cell systems can be considered, though these typically offer lower yields with higher costs .
Improving YhjK solubility requires optimization of several parameters:
N-terminal modifications: Recent research has shown that modifying nucleotides immediately following the start codon can significantly improve protein expression. Using directed evolution with FACS-based screening (with GFP fusion constructs) has demonstrated up to 30-fold increases in soluble protein yields .
Fusion partners and affinity tags: Expressing YhjK as a fusion protein with solubility-enhancing partners like MBP (maltose-binding protein), SUMO, or thioredoxin can dramatically improve solubility. These can be combined with affinity tags (His6, GST) to facilitate purification .
Expression conditions: Lower temperatures (16-20°C), reduced inducer concentrations, and extended expression times often improve membrane protein solubility by slowing production rate and allowing proper folding.
Specialized media: Using osmolytes, chaperone co-expression, or specific additives in growth media can further enhance proper folding and solubility.
Purification of YhjK as a membrane protein requires specialized approaches:
Membrane extraction: Efficient solubilization using appropriate detergents (DDM, LDAO, or LMNG) is critical for initial extraction from membranes.
Affinity chromatography: If expressed with affinity tags (His6 being most common), immobilized metal affinity chromatography (IMAC) provides efficient initial purification. Multiple tags may be necessary for difficult proteins .
Size exclusion chromatography: This serves as a critical polishing step to remove aggregates and ensure monodispersity of the purified protein.
Tag removal: If the affinity tag may interfere with function, specific proteases (TEV, thrombin, or PreScission) can be employed followed by a second affinity step to remove cleaved tags.
For structural studies, detergent exchange or reconstitution into nanodiscs may be necessary to maintain protein stability and native conformation.
The diguanylate cyclase activity of YhjK can be assessed through several complementary approaches:
In vitro enzymatic assays: Purified YhjK protein can be incubated with GTP substrate, and the production of cyclic-di-GMP can be quantified using HPLC, LC-MS/MS, or radiolabeled substrate approaches. For accurate analysis, it's essential to maintain appropriate buffer conditions (pH 7.5-8.0, 5-10 mM MgCl₂) and optimize detergent concentrations to maintain protein stability while minimizing interference with activity.
Phenotypic assays: In vivo assessment can be performed by observing changes in biofilm formation, cell motility, or other c-di-GMP-dependent phenotypes when YhjK is overexpressed or deleted.
Domain-specific analysis: Comparing activities of isolated GGDEF domain constructs versus full-length protein to determine regulatory mechanisms and potential cross-talk between domains.
Several approaches can identify YhjK interaction partners:
Co-immunoprecipitation: Using antibodies against tagged YhjK to pull down protein complexes, followed by mass spectrometry identification of binding partners.
Bacterial two-hybrid systems: Modified for membrane proteins to detect protein-protein interactions within the bacterial cell.
Cross-linking studies: Chemical cross-linking combined with mass spectrometry to capture transient interactions.
Fluorescence resonance energy transfer (FRET): Fusion of YhjK and potential partners with appropriate fluorophores to detect proximity-based interactions in living cells.
Surface plasmon resonance (SPR): For quantitative analysis of binding kinetics between purified YhjK and potential interaction partners.
These methods should be complemented with functional validation through genetic approaches to confirm biological relevance of identified interactions.
The HAMP domain in YhjK likely serves as a signal transduction module, converting external stimuli into changes in enzymatic activity. Research approaches to investigate this include:
Mutational analysis: Systematic mutation of conserved HAMP domain residues to identify critical regions for signal transduction.
Domain swapping experiments: Replacing the HAMP domain with those from other well-characterized proteins to determine signal specificity.
Structural studies: Crystallography or cryo-EM of YhjK in different conformational states to visualize how HAMP conformational changes propagate to catalytic domains.
In vivo reporter systems: Constructing chimeric proteins with HAMP-dependent fluorescent reporters to visualize signaling activity in response to various stimuli.
The integration of these approaches can reveal how environmental signals modulate YhjK activity through conformational changes in the HAMP domain.
As a multi-domain membrane protein, YhjK presents several structural determination challenges:
Membrane protein crystallization barriers: The hydrophobic nature of transmembrane regions makes traditional crystallization difficult, often requiring specialized detergents, lipid cubic phase techniques, or nanodiscs.
Conformational heterogeneity: The presence of multiple domains (HAMP, GGDEF, EAL) likely results in diverse conformational states, complicating structural analysis through ensemble averaging.
Domain flexibility: The connecting regions between functional domains may exhibit inherent flexibility, making it difficult to capture a single, well-defined structure.
Researchers might overcome these challenges through:
Domain-by-domain structural analysis
Stabilizing mutations that lock specific conformations
Use of conformation-specific antibodies or nanobodies
Application of cryo-electron microscopy for capturing multiple conformational states
Several computational methods can provide insights into YhjK structure and function:
Homology modeling: Using crystal structures of related GGDEF, EAL, and HAMP domains as templates to predict YhjK's domain structures.
Molecular dynamics simulations: To model conformational changes between active and inactive states, particularly how signals might propagate from the HAMP domain to catalytic centers.
Coevolution analysis: Using multiple sequence alignments to identify co-evolving residues that likely participate in inter-domain communication or ligand binding.
Docking simulations: To predict interactions with substrates, inhibitors, or protein partners.
Machine learning approaches: Newer AI-based structure prediction methods like AlphaFold can provide insights into domain arrangement and potential conformational states.
These predictions should guide experimental design, such as targeting specific residues for mutagenesis or designing domain constructs for biochemical characterization.
As a predicted diguanylate cyclase/phosphodiesterase, YhjK likely modulates intracellular levels of cyclic-di-GMP, a second messenger that controls the transition between motile and sessile lifestyles in bacteria. Research approaches to define its role include:
Phenotypic analysis: Comparing biofilm formation, cell aggregation, and swimming/swarming motility between wild-type, YhjK knockout, and YhjK overexpression strains.
Transcriptomics: RNA-seq analysis to identify genes differentially regulated upon YhjK deletion or overexpression, revealing downstream pathways.
Cyclic-di-GMP measurements: Quantifying intracellular c-di-GMP levels in various YhjK mutants under different growth conditions.
Environmental response studies: Assessing how YhjK activity changes in response to environmental signals relevant to biofilm formation (nutrient availability, population density, surface contact).
The stationary phase expression of YhjK at 28°C suggests involvement in specific stress responses . To investigate this function:
Stress survival assays: Compare survival rates of wild-type versus YhjK mutants when exposed to various stresses (nutrient limitation, oxidative stress, antimicrobial compounds).
Environmental sensing: Determine whether YhjK's HAMP domain responds to specific environmental signals associated with stress conditions.
Proteomics approaches: Identify changes in the bacterial proteome when YhjK is deleted or overexpressed under stress conditions.
Epistasis studies: Construct double mutants with known stress response regulators to identify genetic interactions and place YhjK within established stress response pathways.
Understanding YhjK's role in stress responses could reveal potential targets for antimicrobial development or bacterial adaptation mechanisms in challenging environments.
The connection between cyclic-di-GMP signaling and antibiotic tolerance suggests YhjK may influence antimicrobial responses. Research approaches include:
Minimum inhibitory concentration (MIC) testing: Compare antibiotic susceptibility profiles between wild-type and YhjK mutant strains.
Persister cell formation: Quantify persister cell frequencies in YhjK mutants versus wild-type when exposed to antibiotics.
Biofilm resistance: Assess whether YhjK-mediated biofilm changes alter antibiotic penetration or effectiveness against biofilm-embedded bacteria.
Combinatorial approaches: Test whether YhjK inhibitors could potentiate antibiotic activity as a potential therapeutic strategy.
Transcriptional studies: Determine whether YhjK activity influences expression of multidrug efflux pumps or other resistance mechanisms.
Results from these studies could identify YhjK as a potential target for antibiotic adjuvant development.
Low expression yields of membrane proteins like YhjK can be addressed through:
Codon optimization: Adapting the YhjK gene sequence to match preferred codon usage of the expression host can significantly improve translation efficiency .
N-terminal sequence engineering: Implementing FACS-based directed evolution approach to screen for N-terminal sequences that enhance expression, which has shown up to 30-fold improvement for difficult proteins .
Strain selection: Testing multiple E. coli strains specifically engineered for membrane protein expression (C41, C43, Lemo21) to identify optimal hosts .
Expression vector optimization: Evaluating different promoter strengths, ribosome binding sites, and plasmid copy numbers to balance expression level with cellular capacity .
Culture optimization: Systematic variation of induction parameters (timing, inducer concentration), media composition, and growth temperature using a design of experiments (DOE) approach.
| Parameter | Test Range | Example Optimization |
|---|---|---|
| Temperature | 16-37°C | Often 18-20°C yields best results for membrane proteins |
| Inducer (IPTG) | 0.05-1.0 mM | Lower concentrations (0.1-0.2 mM) typically better |
| Induction timing | OD600 0.4-1.2 | Mid-log phase (OD600 0.6-0.8) often optimal |
| Media | LB, TB, M9, auto-induction | Rich media for initial testing, auto-induction for scale-up |
Maintaining stability of purified YhjK requires careful optimization:
Detergent screening: Systematic evaluation of detergent types and concentrations using thermal shift assays or activity measurements to identify optimal solubilization conditions.
Lipid supplementation: Addition of specific phospholipids (POPE, POPG) or cholesterol to mimic the native membrane environment and enhance stability.
Buffer optimization: Testing various buffer compositions, pH ranges, and salt concentrations to identify stabilizing conditions.
Stabilizing additives: Incorporation of glycerol (5-10%), specific metal ions, or ligands that may bind and stabilize specific conformations.
Alternative membrane mimetics: Reconstitution into nanodiscs, liposomes, or amphipols to provide a more native-like environment than detergent micelles.
A stabilized preparation allows for more reliable functional characterization and increases the likelihood of successful structural studies.
When assessing YhjK enzymatic activity, several potential interferences must be addressed:
Detergent effects: Many detergents can interfere with activity assays or detection methods. Systematic screening of detergent types and concentrations that maintain protein stability while minimizing assay interference is essential.
Copurifying contaminants: Endogenous E. coli proteins with similar activities may contaminate YhjK preparations. Rigorous purification protocols including multiple orthogonal techniques and negative controls (inactive mutants) help distinguish true YhjK activity.
Domain-specific activities: The dual GGDEF and EAL domains may exhibit opposing activities, complicating interpretation. Domain-specific mutations or isolated domain constructs can help dissect individual activities.
Buffer components: Components like DTT, EDTA, or specific salts may interfere with activity or detection methods. Systematic buffer optimization and appropriate controls are needed to identify and minimize these effects.
Detection method limitations: Direct product detection (e.g., by HPLC or LC-MS/MS) is preferable to coupled enzyme assays that may introduce additional variables and potential sources of error.
YhjK represents an excellent model system for studying bacterial signaling due to its multi-domain architecture combining sensing (HAMP) and opposing enzymatic activities (GGDEF/EAL). Research applications include:
Signal integration studies: Investigating how inputs detected by the HAMP domain are translated into changes in enzymatic output, providing insights into bacterial decision-making processes.
Allosteric regulation models: Examining how interactions between domains create feedback loops and regulation mechanisms that control cyclic-di-GMP levels.
Evolutionary conservation analysis: Comparative studies of YhjK homologs across bacterial species can reveal conserved signaling mechanisms and species-specific adaptations.
Synthetic biology applications: Engineering YhjK variants with altered input specificity or output characteristics for use in artificial signaling circuits.
These approaches collectively contribute to understanding fundamental principles of bacterial signal transduction beyond the specific functions of YhjK itself.
Modern technologies enable unprecedented insights into YhjK behavior in vivo:
FRET-based biosensors: Constructing YhjK fusion proteins with fluorescent protein pairs that report on conformational changes in real-time.
Single-molecule tracking: Using photoconvertible fluorescent tags to follow individual YhjK molecules in bacterial membranes, revealing localization patterns and dynamics.
Optogenetic control: Engineering light-sensitive domains into YhjK to enable precise spatiotemporal control of its activity for dissecting downstream effects.
Cryo-electron tomography: Visualizing YhjK distribution and organization within the native cellular context at near-atomic resolution.
Time-resolved transcriptomics/proteomics: Capturing the dynamic cellular response to controlled YhjK activation or inhibition using RNA-seq or mass spectrometry.
These approaches provide a systems-level understanding of YhjK function that complements traditional biochemical and genetic studies.
The potential role of YhjK in biofilm formation and stress responses makes it an interesting target for antimicrobial approaches:
Structure-based inhibitor design: Detailed structural information about the active sites in GGDEF and EAL domains enables rational design of small molecule inhibitors that could disrupt biofilm formation or enhance antibiotic sensitivity.
Allosteric modulators: Identifying binding sites at domain interfaces that could be targeted to lock YhjK in specific conformational states, disrupting its normal regulatory functions.
Peptide inhibitors: Designing peptides that mimic natural interaction surfaces to compete with protein-protein interactions essential for YhjK function.
Combination therapy approaches: Using YhjK modulators alongside conventional antibiotics to enhance efficacy against biofilm-associated infections.