This recombinant protein catalyzes the hydrolysis of short-chain aliphatic amides into their corresponding organic acids and ammonia. It also displays in vitro acyl transferase activity, transferring the acyl moiety of short-chain amides to hydroxylamine to form hydroxamates.
KEGG: nfa:NFA_7560
STRING: 247156.nfa7560
Nocardia farcinica Aliphatic amidase (amiE) belongs to the amidase signature family and functions as a cytoplasmic acylamide amidohydrolase (EC 3.5.1.4) that hydrolyzes short-chain aliphatic amides to produce ammonia and the corresponding organic acid . While specific structural data for N. farcinica amiE is still being elucidated, related polyamidases from N. farcinica have been characterized with four subunits and a total molecular weight of approximately 190 kDa .
The enzyme demonstrates significant homology with other bacterial amidases, particularly those from Pseudomonas aeruginosa and Rhodococcus species, with sequence identity around 75% in conserved regions . The catalytic mechanism involves nucleophilic attack on the amide carbon, facilitated by a catalytic triad typical of the amidase signature family enzymes.
The amiE gene is located within the 6,021,225 bp circular chromosome of N. farcinica with an average G+C content of 70.8% . The genomic neighborhood of amiE provides important context for understanding its regulation. The N. farcinica genome contains 5,674 putative protein-coding sequences, with amiE being part of the extensive enzymatic repertoire that contributes to the bacterium's metabolic versatility .
Regulation of amiE expression is likely influenced by:
Environmental nitrogen availability
Presence of substrate amides in the growth medium
Cross-regulation with other nitrogen-metabolizing pathways
When studying expression patterns, researchers should account for these factors in experimental design. RT-PCR and transcriptomic analyses can help elucidate the expression patterns under different conditions, which is particularly important when optimizing recombinant expression systems.
For optimal heterologous expression of recombinant N. farcinica amiE, researchers should consider multiple expression systems and optimization parameters:
Expression Systems Comparison:
Methodology for Optimization:
Clone the amiE gene (approximately 1017 bp based on similar amidases) into an expression vector with an appropriate promoter (T7 or tac) and affinity tag (His6 or GST)
Transform into expression hosts (BL21(DE3) for E. coli)
Test expression at various temperatures (16°C, 25°C, 30°C, 37°C)
Optimize induction parameters (IPTG concentration: 0.1-1.0 mM)
Evaluate solubility in different buffer systems (pH 7.0-8.5)
The high G+C content (70.8%) of the N. farcinica genome demands careful consideration of codon optimization when expressing in E. coli or other heterologous hosts . Expression may benefit from specialized E. coli strains that supply rare codons or from synthetic gene optimization to match the codon preference of the expression host.
A systematic purification strategy for recombinant N. farcinica amiE should include:
Purification Protocol:
Cell Lysis: Sonication in buffer containing 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol, and protease inhibitors
Initial Capture: Affinity chromatography using Ni-NTA for His-tagged protein
Intermediate Purification: Ion exchange chromatography (IEX) to remove impurities
Polishing: Size exclusion chromatography to obtain homogeneous protein
Quality Control: SDS-PAGE analysis to confirm purity (target ≥85% as standard for recombinant proteins)
Activity Assessment Methods:
Spectrophotometric Assay: Monitor ammonia release using Nessler's reagent or coupled enzyme assays
HPLC Analysis: Quantify substrate depletion and product formation
Kinetic Parameters: Determine Km, Vmax, kcat using varying substrate concentrations
For reliable activity measurements, establish baseline parameters:
Ensure the purification maintains the native quaternary structure, as related polyamidases from N. farcinica consist of four subunits . Size exclusion chromatography or native PAGE can confirm appropriate oligomeric state.
Site-directed mutagenesis studies of the conserved catalytic residues in N. farcinica amiE can provide valuable insights into its reaction mechanism. Based on homology with other amidases in the signature family:
Key Residues for Mutagenesis:
| Residue Type | Potential Function | Mutation Strategy | Expected Effect |
|---|---|---|---|
| Ser (nucleophile) | Direct attack on amide bond | S→A | Complete loss of activity |
| Lys (catalytic) | Stabilizes transition state | K→R, K→A | Severe reduction in kcat |
| Asp/Glu (acid/base) | Proton transfer | D→N, E→Q | Altered substrate specificity |
| Cys (disulfide) | Structural stability | C→S | Reduced thermostability |
Experimental Approach:
Identify conserved residues through sequence alignment with characterized amidases like those from Pseudomonas aeruginosa
Generate point mutations using QuikChange or similar PCR-based methods
Express and purify mutant proteins using identical protocols as wild-type
Compare kinetic parameters (kcat, Km) and stability profiles
Mutations that affect the catalytic triad typically result in drastically reduced activity, while those affecting substrate binding may alter Km values without significantly impacting kcat. This approach can help elucidate the structural basis for the observed higher affinity of N. farcinica enzymes for aryl amides (Km = 0.07 mM) compared to aliphatic amides (Km = 5.5 mM) .
N. farcinica is an opportunistic pathogen causing nocardiosis in humans, particularly in immunocompromised individuals . The role of amiE in pathogenicity should be considered within the context of N. farcinica's virulence factors and antimicrobial resistance mechanisms:
Potential Contributions to Pathogenicity:
Ammonia Production: Similar to urease in H. pylori, amidase-produced ammonia may neutralize acidic environments, aiding survival in host tissues
Nutrient Acquisition: Breakdown of host amides could provide carbon and nitrogen sources during infection
Biofilm Formation: Amidase activity might modify surface properties affecting adhesion to tissues
Connection to Antimicrobial Resistance:
N. farcinica demonstrates resistance to multiple antibiotics, including β-lactams, aminoglycosides, and macrolides . The genome contains numerous resistance determinants (see table below), although amiE is not directly implicated in resistance mechanisms.
Experimental approaches to study amiE's role in pathogenicity should include:
Construction of amiE knockout mutants (similar to methods used for Nfa34810)
Comparative virulence studies in cellular and animal models
Transcriptomic analysis during infection to monitor amiE expression levels
Advanced structural biology techniques can illuminate the molecular basis for N. farcinica amiE's catalytic properties and substrate specificity:
Recommended Structural Biology Approaches:
X-ray Crystallography:
Express protein with selenomethionine for phase determination
Set up crystallization screens at varied protein concentrations (5-15 mg/ml)
Attempt co-crystallization with substrate analogs or inhibitors
Target resolution of <2.0 Å for detailed mechanistic insights
Cryo-Electron Microscopy:
Computational Modeling:
Leverage homology with characterized amidases to generate initial models
Employ molecular dynamics simulations to study substrate binding and catalysis
Analyze substrate tunnels and binding pocket flexibility
Expected Structural Features to Investigate:
Catalytic residues arrangement in the active site
Substrate binding pocket architecture explaining preference for aryl vs. aliphatic amides
Structural basis for the observed alkali stability of N. farcinica amidases
Oligomerization interfaces if multimeric organization is confirmed
Structural data should be deposited in the Protein Data Bank (PDB) to facilitate broader research on this enzyme family and potentially inform protein engineering efforts for biotechnological applications.
Understanding the influence of environmental conditions on N. farcinica amiE is essential for both fundamental research and potential applications. Given the organism's dual lifestyle as both soil saprophyte and opportunistic pathogen , the enzyme likely exhibits adaptations to function across diverse environments:
pH-Dependent Activity Profile:
N. farcinica amidases have demonstrated alkali stability , suggesting a pH-activity relationship such as:
| pH | Relative Activity (%) | Stability (% remaining after 24h) |
|---|---|---|
| 5.0 | 20-30 | 40-50 |
| 6.0 | 50-60 | 60-70 |
| 7.0 | 80-90 | 80-90 |
| 8.0 | 95-100 | 90-95 |
| 9.0 | 90-95 | 85-90 |
| 10.0 | 60-70 | 70-80 |
Temperature Effects:
Optimal activity likely between 30-45°C
Potential thermal inactivation at temperatures >50°C
Cold adaptation mechanisms may be less developed than thermotolerance
Experimental Methodology for Environmental Testing:
Prepare purified enzyme in appropriate buffer systems
Pre-incubate at test conditions before activity measurement
Monitor activity using standard spectrophotometric assays
For stability studies, measure residual activity after extended incubation
Employ differential scanning fluorimetry (DSF) to determine melting temperatures under varied conditions
The evaluation of environmental influences should include physiologically relevant conditions that mimic both soil environments and human host tissues to understand the enzyme's adaptability and potential role during infection processes.
Protein engineering of N. farcinica amiE offers opportunities to enhance its catalytic properties for both research and potential biotechnological applications. Several rational and non-rational design approaches can be employed:
Directed Evolution Strategy:
Error-Prone PCR: Introduce random mutations throughout the amiE gene
DNA Shuffling: Recombine amiE with homologous genes from related organisms
Selection System: Develop an E. coli complementation system where growth depends on amidase activity
High-Throughput Screening: Use colorimetric assays in 96-well format to identify improved variants
Rational Design Approaches:
Active Site Engineering: Modify substrate binding pocket residues to alter specificity
Stability Enhancement: Introduce disulfide bonds or salt bridges at positions identified by computational analysis
Loop Modifications: Adjust surface loops to improve solvent accessibility or substrate entry
Semi-Rational Approaches:
Consensus Design: Align multiple amidase sequences to identify conserved positions for targeted mutagenesis
Ancestral Sequence Reconstruction: Resurrect predicted ancestral enzymes that may exhibit broader substrate scope
Potential Engineering Targets:
| Property | Engineering Goal | Approach | Expected Improvement |
|---|---|---|---|
| Thermostability | Increase Tm by >10°C | Introduce proline residues in loops | Extended shelf-life and reaction temperatures |
| Substrate Scope | Expand to include industrial amides | Active site reshaping | Broader applicability in biocatalysis |
| Catalytic Rate | Increase kcat by 2-5 fold | Optimize transition state stabilization | Higher process efficiency |
| Solvent Tolerance | Function in 30% organic solvents | Surface charge engineering | Compatibility with hydrophobic substrates |
When engineering N. farcinica amiE, researchers should consider the high G+C content (70.8%) of the native gene , which may necessitate codon optimization for efficient expression of variant libraries in common laboratory hosts.