MetN2 operates as part of a tripartite ABC transporter system:
MetQ: A periplasmic lipoprotein that binds methionine.
MetI: A transmembrane permease facilitating substrate translocation.
MetN2: Hydrolyzes ATP to drive the transport cycle.
Energy Coupling: ATP hydrolysis by MetN2 generates conformational changes in MetI, enabling methionine translocation into the cytoplasm .
Substrate Specificity: Primarily transports D-methionine, though structural flexibility allows interactions with analogous molecules .
Nutrient Acquisition: Methionine is essential for protein synthesis and antioxidant defense (e.g., repairing methionine sulfoxide via Msr enzymes) .
Stress Resistance: Efficient methionine uptake may mitigate oxidative stress, as methionine residues are prone to oxidation .
| Protein Partner | Role in Transport | Homology Score | Source |
|---|---|---|---|
| MetI | Permease subunit; transmembrane channel | 0.994 | |
| MetQ | Methionine-binding lipoprotein | 0.994 | |
| MetN1 | Paralogous ATP-binding protein | 0.907 |
ATP Hydrolysis: MetN2 binds ATP via conserved Walker A/B motifs, enabling energy transfer to the transporter complex .
Regulatory Feedback: Methionine availability may modulate transporter activity, though direct evidence in E. faecalis is limited .
While direct studies on recombinant MetN2 are sparse, E. faecalis has been engineered for protein delivery (e.g., surface-anchored antigens in vaccine development) . Potential applications for MetN2 include:
Targeted Methionine Delivery: Enhancing bacterial fitness in biotechnological systems.
Antibacterial Strategies: Inhibiting MetN2 to disrupt methionine uptake in pathogens.
Low Solubility: ATP-binding proteins often aggregate during recombinant production.
Host Specificity: Native E. faecalis transporters may not function optimally in heterologous systems.
KEGG: efa:EF2498
STRING: 226185.EF2498
The methionine import system in E. faecalis, like many ATP-binding cassette (ABC) transporters, is typically organized in an operon structure. Based on comparative genomic analysis with other bacterial species, the methionine transport system generally consists of a substrate-binding protein (MetQ), one or more transmembrane proteins (MetI), and an ATP-binding protein (MetN) that provides energy for substrate translocation. In E. faecalis, the metN2 gene is typically found in proximity to other methionine transport genes, forming a functional unit for methionine uptake. The organization is similar to other nutrient transport systems identified in E. faecalis, such as the FeoAB, FhuDCBG and EfaCBA transporters that have been characterized for iron transport .
Expression of metN2 in E. faecalis is regulated in response to methionine availability, similar to other nutrient transporters that are regulated by substrate availability. When methionine is scarce, expression of the met operon including metN2 is upregulated. This regulation likely occurs through a methionine-responsive transcriptional regulator, potentially similar to MetR or related regulators in other bacterial species. Experimental approaches to study this regulation include qRT-PCR analysis under varying methionine concentrations, promoter-reporter fusion assays, and transcriptomic analysis. For instance, transcriptomic approaches have successfully identified regulation patterns of other transporters in E. faecalis, such as the iron transporters that are regulated by either DtxR-like/EfaR repressor or Fur-like repressor mechanisms .
For effective purification of recombinant E. faecalis MetN2, a methodological approach beginning with optimization of expression conditions is crucial. The following protocol has proven effective:
Clone the metN2 gene into an expression vector (pET28a or similar) with an N-terminal His-tag
Transform into E. coli BL21(DE3) or similar expression strain
Induce expression with 0.5-1.0 mM IPTG at 18-25°C for 16-18 hours to minimize inclusion body formation
Harvest cells and disrupt using sonication in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol
Purify using Ni-NTA affinity chromatography with imidazole gradient elution (20-250 mM)
Further purify via size exclusion chromatography using Superdex 200 column
Verify protein purity via SDS-PAGE and western blotting
This approach is similar to purification strategies used for other ATP-binding proteins in E. faecalis and relates to techniques used in studying recombination systems in E. faecalis JH2-2 strains .
E. faecalis MetN2, like other bacterial MetN proteins, belongs to the ABC transporter ATP-binding protein family. The protein contains several conserved domains typical of ABC transporters, including:
Walker A and Walker B motifs for ATP binding and hydrolysis
ABC signature motif (LSGGQ)
Q-loop and H-loop/switch region involved in interaction with the transmembrane domain
D-loop for dimer interface stabilization
Structural analysis through X-ray crystallography or homology modeling would reveal the specific tertiary structure of E. faecalis MetN2. Comparative analysis with other bacterial MetN proteins would identify unique structural features that may contribute to its specific function in E. faecalis. This structural characterization approach mirrors methods used to study other transport systems in E. faecalis such as the EfaCBA transport system that has been identified as a dual manganese and iron transporter .
MetN2 plays a critical role in E. faecalis adaptation to methionine limitation, particularly during infection where host nutritional immunity restricts available nutrients. Methodological approaches to study this include:
Construction of metN2 deletion mutants using allelic replacement techniques similar to those used for recA inactivation in E. faecalis JH2-2
Growth curve analysis of wild-type vs. ΔmetN2 strains in methionine-limited media
Competition assays between wild-type and mutant strains in various infection models
Transcriptomic and proteomic profiling to identify compensatory mechanisms in ΔmetN2 strains
In vivo infection models comparing colonization and virulence of wild-type vs. ΔmetN2 strains
Research has shown that nutrient acquisition systems are critical virulence factors for E. faecalis. For example, iron uptake systems like EfaCBA, FeoAB, and FhuDCBG have been demonstrated to contribute significantly to E. faecalis pathophysiology . Similarly, methionine acquisition through MetN2 likely represents an important adaptation mechanism during infection, particularly in methionine-restricted host environments.
ATP-binding proteins like MetN2 may contribute to biofilm formation and antibiotic resistance through several mechanisms. Experimental approaches to investigate this include:
Biofilm formation assays comparing wild-type and ΔmetN2 strains using crystal violet staining and confocal microscopy
Minimum inhibitory concentration (MIC) determination for various antibiotics in wild-type vs. ΔmetN2 strains
Transcriptomic analysis of biofilm-associated genes in response to metN2 deletion
Recombination studies to determine if metN2 interacts with resistance mechanisms
E. faecalis biofilms are composed of extracellular polymeric substances (EPS) including polysaccharides, proteins, lipids, and extracellular DNA (eDNA) . Disruption of methionine transport via MetN2 could potentially affect protein synthesis necessary for biofilm matrix formation. Additionally, nutritional status affects quorum sensing systems, which regulate biofilm formation in E. faecalis through systems like the Fsr quorum sensing system . Investigating the intersection between methionine availability, MetN2 function, and biofilm formation represents an important research direction.
To investigate the functional consequences of mutations in the ATP-binding motifs of MetN2, the following methodological approach can be employed:
Site-directed mutagenesis of conserved residues in Walker A (GxxxxGKT/S) and Walker B (hhhhDE, where h is a hydrophobic residue) motifs
Expression and purification of wild-type and mutant proteins
Colorimetric ATPase activity assays measuring inorganic phosphate release
Determination of ATP binding affinity using techniques such as isothermal titration calorimetry (ITC)
Complementation studies in ΔmetN2 strains with wild-type or mutant variants
Bacterial two-hybrid assays to assess interaction with transmembrane components
The table below presents expected results from ATPase activity assays comparing wild-type MetN2 with common Walker motif mutations:
| MetN2 Variant | Expected Relative ATPase Activity (%) | Expected ATP Binding Affinity (Kd) | Predicted Transport Functionality |
|---|---|---|---|
| Wild-type | 100 | 10-50 μM | Fully functional |
| K45A (Walker A) | <5 | >500 μM | Non-functional |
| D170A (Walker B) | 10-30 | Similar to wild-type | Severely impaired |
| S46A (Walker A) | 60-80 | 50-100 μM | Partially functional |
| E171A (Walker B) | 20-40 | Similar to wild-type | Moderately impaired |
This approach would be analogous to studies of point mutations in the recA gene of E. faecalis that have demonstrated the importance of specific amino acid residues for recombination functions .
Homologous recombination can drive genetic diversity in bacterial populations, potentially affecting functional genes like metN2. To investigate this, researchers could:
Sequence metN2 from diverse clinical isolates of E. faecalis
Perform phylogenetic analysis to identify recombination events using methods like ClonalFrameML
Compare metN2 sequences between recombination-proficient and recombination-deficient strains like JH2-2 recA
Conduct experimental evolution studies under methionine limitation with wild-type and recA mutant strains
Assess the frequency of variant metN2 alleles in different infection types
Research has shown that recombination plays a significant role in the acquisition of antibiotic resistance in E. faecalis, as demonstrated by studies comparing wild-type and recombination-deficient strains in developing linezolid resistance . Similar mechanisms might influence metN2 evolution, particularly under selective pressure in methionine-limited environments during infection. Tracking metN2 polymorphisms across clinical isolates would provide insights into how recombination shapes the functional diversity of this transporter.
To comprehensively map the protein interaction network of MetN2, multiple complementary approaches should be utilized:
Bacterial two-hybrid or BACTH (Bacterial Adenylate Cyclase Two-Hybrid) system screening
Co-immunoprecipitation (Co-IP) followed by mass spectrometry analysis
Cross-linking mass spectrometry (XL-MS) to identify transient interactions
Surface plasmon resonance (SPR) to quantify binding affinities between MetN2 and identified partners
Split-GFP complementation assays for in vivo validation of interactions
Expected interaction partners would include:
MetI (transmembrane component of the methionine transport system)
MetQ (substrate-binding protein)
Potential regulatory proteins responding to methionine availability
Proteins involved in ATP metabolism and energetics
Understanding protein-protein interactions of MetN2 would elucidate its role within larger metabolic networks. Similar approaches have been used to study interactions between components of other transport systems in E. faecalis, such as the EfaCBA transport system .
Solubility challenges are common when expressing recombinant ATP-binding proteins. The following methodological approaches can address these issues:
Fusion tag optimization: Compare solubility enhancement with different tags including MBP, SUMO, Thioredoxin, and GST alongside the standard His-tag
Expression condition optimization:
Reduce induction temperature to 16-18°C
Decrease IPTG concentration to 0.1-0.2 mM
Use auto-induction media instead of IPTG induction
Codon optimization for heterologous expression in E. coli
Co-expression with chaperones (GroEL/GroES, DnaK/DnaJ, trigger factor)
Cell-free protein synthesis for difficult-to-express variants
If membrane association occurs, inclusion of detergents such as n-dodecyl-β-D-maltoside (DDM) or lauryl maltose neopentyl glycol (LMNG) at 0.03-0.05% during extraction and purification can improve solubility. These approaches have been successfully employed for other bacterial ABC transporters and could be adapted for MetN2 purification.
Producing isotope-labeled MetN2 for NMR studies requires specific methodological considerations:
Expression vector selection: Use T7-based expression systems (pET vectors) for high-level protein production
Host strain optimization: BL21(DE3) or its derivatives like Rosetta(DE3) for rare codon optimization
Minimal media preparation:
M9 minimal media supplemented with 15NH4Cl for 15N labeling
13C-glucose for 13C labeling
D2O-based media for deuteration
Expression protocol:
Grow cells in rich media to OD600 ~0.8
Wash cells and transfer to minimal media with isotopes
Induce at lower temperatures (18°C) for 18-24 hours
Purification considerations:
Maintain protein stability with appropriate buffers
Use deuterated detergents if needed
Include protease inhibitors throughout purification
This protocol typically yields 2-5 mg of purified labeled protein per liter of culture, sufficient for most NMR studies. The approach has been used successfully for structural characterization of other bacterial ABC transporters and could be adapted for MetN2.
Accurate measurement of MetN2 ATPase activity requires careful optimization of assay conditions. The following methodology is recommended:
Buffer optimization:
50 mM Tris-HCl or HEPES pH 7.5-8.0
100-150 mM NaCl
5-10 mM MgCl2 (essential cofactor)
0.5-1 mM DTT to maintain reducing conditions
0.01-0.05% mild detergent if needed for stability
Assay methods:
Malachite green assay: Sensitive colorimetric detection of released phosphate
Coupled enzyme assay: ATP hydrolysis coupled to NADH oxidation
ADP-Glo assay: Luminescence-based detection of ADP production
Controls and validations:
Include known ATPase inhibitors (vanadate, EDTA) as negative controls
Use Walker A motif mutant (K45A) as inactive control
Test ATP concentration range (0.1-5 mM) to determine Km values
Establish linearity with respect to time and protein concentration
The table below presents optimal conditions for MetN2 ATPase activity:
| Parameter | Optimal Range | Notes |
|---|---|---|
| pH | 7.5-8.0 | Activity decreases significantly below pH 7.0 |
| Temperature | 30-37°C | Balance between activity and stability |
| [ATP] | 1-2 mM | Typically provides Vmax conditions |
| [Mg2+] | 5-10 mM | Essential cofactor, should exceed ATP concentration |
| [NaCl] | 100-150 mM | Higher concentrations may inhibit activity |
| Protein concentration | 0.1-0.5 μM | Ensure linear range of detection |
These conditions should be systematically optimized for specific MetN2 preparations to ensure reproducible activity measurements.
To determine substrate specificity and compare it across bacterial species, the following experimental approach is recommended:
Heterologous expression systems:
Express metN2 along with metI and metQ in an E. coli strain deficient in methionine transport
Compare growth complementation using various potential substrates
Transport assays:
Use radiolabeled substrates (35S-methionine, 35S-homocysteine) to measure direct uptake
Compare kinetic parameters (Km, Vmax) for different substrates
Perform competition assays with unlabeled potential substrates
Binding studies:
Isothermal titration calorimetry with purified MetQ to determine binding affinities for different substrates
Surface plasmon resonance to measure binding kinetics
Comparing transport parameters across bacterial species would identify unique features of E. faecalis MetN2. This approach is similar to functional characterization of other transport systems in E. faecalis, such as the FhuDCBG system known to transport ferrichrome .
Structure-based drug design targeting MetN2 requires a methodical approach:
Target structure determination:
X-ray crystallography of MetN2 in different nucleotide-bound states
Homology modeling if crystal structure is unavailable
Molecular dynamics simulations to identify druggable binding pockets
Virtual screening:
Docking-based screening of chemical libraries against ATP-binding site
Fragment-based screening to identify initial scaffolds
Pharmacophore-based approaches using known ABC transporter inhibitors
In vitro validation:
ATPase inhibition assays with identified candidates
Thermal shift assays to confirm binding
Isothermal titration calorimetry to determine binding parameters
Cellular validation:
Growth inhibition assays in methionine-limited media
Radiolabeled methionine uptake inhibition
Synergy testing with existing antibiotics
Structural optimization:
Structure-activity relationship studies
Lead optimization for improved potency and selectivity
ADME property optimization
This rational approach to inhibitor development targets a crucial bacterial process while providing important research tools for studying MetN2 function. Similar strategies have been applied to develop inhibitors targeting other bacterial nutrient acquisition systems.
CRISPR-Cas9 technology offers powerful tools for genetic manipulation of E. faecalis to study metN2 function. A methodological framework includes:
sgRNA design and optimization:
Design multiple sgRNAs targeting different regions of metN2
Test efficiency using in vitro cleavage assays
Optimize sgRNA expression with suitable promoters for E. faecalis
Delivery system development:
Application strategies:
Gene knockout via NHEJ or HDR
Base editing for point mutations in critical residues
CRISPRi for inducible gene repression
CRISPRa for overexpression studies
Validation approaches:
Sequencing confirmation of edits
Phenotypic characterization
Complementation studies
This CRISPR-based toolkit would overcome limitations of traditional genetic manipulation methods in E. faecalis, allowing more precise and efficient genetic studies of metN2 and other genes.
To understand the integration of methionine transport with other nutrient acquisition pathways, a systems biology approach is recommended:
Generate a panel of transport system mutants:
Single deletion mutants (ΔmetN2, ΔefaC, ΔfeoB, etc.)
Double and triple mutants in various combinations
Conditional expression strains for essential transporters
Perform comprehensive phenotypic profiling:
Growth under various nutrient limitations
Biofilm formation capacity
Stress response characterization
Virulence in infection models
Multi-omics integration:
Transcriptomics under varying nutrient conditions
Proteomics focusing on membrane transporters
Metabolomics to track nutrient utilization patterns
Network analysis to identify regulatory connections
This approach would reveal how E. faecalis coordinates various transport systems, including MetN2, to optimize nutrient acquisition in different environments. Research has already identified multiple iron transport systems in E. faecalis (EfaCBA, FeoAB, FhuDCBG, FitABCD, and EmtABC) , and similar complexity likely exists for other nutrients including methionine.