The provided sources focus on diverse applications of L. plantarum as a recombinant platform, including:
Protein secretion systems (e.g., α-amylase, RseP, TsPPase) .
CRISPR/Cas9-mediated genome editing for metabolic engineering (e.g., GlcNAc production) .
Vaccine delivery (e.g., influenza HA1, Trichinella spiralis TsPPase) .
Metabolic pathways (e.g., nucleoside degradation, tannin decarboxylation) .
None of these studies mention adenine deaminase or its biochemical role in L. plantarum.
While adenine deaminase itself is not described, related enzymes and pathways in L. plantarum include:
The absence of adenine deaminase data in L. plantarum may stem from:
Nomenclature discrepancies: The enzyme might be referred to by alternative names (e.g., "adenine aminohydrolase").
Unexplored pathways: Adenine deaminase is typically involved in purine catabolism, which is underrepresented in the provided studies.
Focus on industrial applications: The reviewed studies prioritize food-grade enzymes, vaccine delivery, or metabolic engineering rather than nucleotide metabolism.
For targeted research, consider investigating:
Lactobacillus plantarum is a versatile lactic acid bacterium widely recognized as both a potential starter culture and health-promoting probiotic. Its significance for recombinant enzyme studies stems from its GRAS (Generally Recognized As Safe) status and established genetic systems. L. plantarum WCFS1 is particularly valuable for genetic engineering due to its fully sequenced genome and the availability of various genetic tools. The bacterium's probiotic nature makes it an attractive candidate for industrial applications, especially when engineering it to produce bioactive compounds without introducing exogenous genes or plasmids .
Adenine deaminase (ADE) catalyzes the deamination of adenine to hypoxanthine, while adenosine deaminase (ADA) catalyzes the irreversible deamination of adenosine and 2'-deoxyadenosine to inosine and 2'-deoxyinosine, respectively. The key difference lies in their substrates - ADE acts on the nucleobase (adenine), while ADA acts on the nucleoside (adenosine). Both belong to the broader class of deaminases that catalyze the hydrolysis of C-NH₂ bonds in amino compounds, producing ammonia . ADA has been extensively studied in mammals with highest levels found in lymphoid tissues, while bacterial adenine deaminases play key roles in purine salvage pathways .
For L. plantarum recombinant enzyme expression, CRISPR/Cas9-assisted genome editing combined with double-stranded DNA (dsDNA) and single-stranded DNA (ssDNA) recombineering has proven highly effective. This approach allows for seamless genome modifications including gene knockouts, insertions, and point mutations. The process typically involves:
Introduction of recombinase genes (lp_0642, lp_0641, and lp_0640) from a prophage P1 locus
Delivery of the CRISPR/Cas9 system for targeted genomic cleavage
Provision of homologous repair templates (dsDNA or ssDNA)
Selection of successful edits through CRISPR-based counterselection
This methodology eliminates the need for antibiotic markers or exogenous plasmids, making it ideal for producing recombinant enzymes in a food-grade manner .
Optimizing CRISPR/Cas9-assisted recombineering for L. plantarum enzyme expression requires a systematic approach addressing multiple factors:
sgRNA design: Select target sites with minimal off-target effects and optimal GC content for efficient Cas9 binding and cleavage.
Homology arm design: For dsDNA recombineering, use homology arms of 500-1000 bp for optimal recombination efficiency. When direct substitution proves challenging, consider adopting a two-step recombineering method:
DNA protection: Apply phosphorothioate modifications to the 5' ends of dsDNA to protect against exonuclease degradation, significantly improving insertion efficiency.
Methyltransferase overexpression: Overexpress the endogenous adenine-specific methyltransferase (Dam, lp_2243) to improve ssDNA recombination efficiency by temporarily disabling the mismatch repair (MMR) system. This approach has been shown to remarkably improve mutation efficiencies, especially with consecutive mismatches .
Selection strategy: Design appropriate screening methods based on phenotype or PCR verification, with CRISPR counterselection eliminating non-edited cells.
When characterizing recombinant adenine deaminase activity from L. plantarum, researchers should address:
Enzyme purification: Develop a purification protocol that preserves enzyme structure and activity, typically involving affinity chromatography for histidine-tagged proteins.
Activity assays: Employ spectrophotometric methods to monitor the conversion of adenine to hypoxanthine. Based on adenosine deaminase studies, measure activity by tracking changes in absorbance at 265 nm as adenine is converted to hypoxanthine.
Kinetic parameters: Determine key parameters including:
K₍m₎ (substrate affinity)
V₍max₎ (maximum reaction velocity)
k₍cat₎ (turnover number)
pH and temperature optima
Inhibition studies: As with other deaminases, characterize competitive inhibitors and their inhibition constants (K₍I₎) using Lineweaver-Burk or similar plots.
| Common Inhibitor Type | Representative Compounds | Typical K₍I₎ Range (mM) |
|---|---|---|
| Substrate analogues | Purine, 2-aminopurine | 0.3-1.1 |
| Product analogues | Inosine, hypoxanthine | 0.2-0.5 |
| Other nucleobases | Adenine | 0.1-0.2 |
| Chemical inhibitors | Phenylhydrazine | 0.2-0.3 |
Table based on data from adenosine deaminase inhibition studies
Metal ion dependency: Evaluate the dependence on Zn²⁺ or other metal cofactors, as deaminases typically require metal ions for catalysis .
Adenine-specific methyltransferase (Dam) significantly enhances recombination efficiency in L. plantarum through a precise molecular mechanism. When overexpressed, Dam methylates adenine residues in DNA, which temporarily disables the mismatch repair (MMR) system during genetic engineering. The process works as follows:
Dam binds to mismatched bases or adjacent sequences faster than the MMR machinery can detect them
Methylation of adenine residues in GATC sequences creates hemimethylated DNA
The MMR system cannot efficiently repair mismatches in methylated DNA chains
This window of opportunity allows introduced mutations to be established before repair occurs
Experimental data shows that Dam overexpression remarkably improves ssDNA recombineering efficiency, particularly with sequences containing three consecutive mismatches. When implemented via the plasmid p411-RecT-Dam in L. plantarum WCFS1, this approach can increase editing efficiency by several fold compared to standard methods .
Seamless genome editing in L. plantarum faces several challenges, including limited antibiotic selection options and low recombination frequencies. Advanced strategies to overcome these limitations include:
CRISPR/Cas9 counterselection: Instead of relying solely on antibiotic selection, use CRISPR/Cas9 to eliminate non-edited cells by targeting the unmodified sequence. This powerful negative selection allows recovery of rare recombination events.
Two-step recombineering for complex edits: For insertions or large modifications:
First perform antibiotic-dependent dsDNA recombineering to insert the target fragment with selectable markers and loxP sites
After selection, excise the antibiotic resistance gene using the Cre/loxP system
Finally, remove any remaining loxP sites using CRISPR/Cas9-assisted editing
ssDNA recombineering for small modifications: For point mutations or small insertions/deletions, use single-stranded DNA oligonucleotides (60-90 nt) with the mutation centered. This approach is highly efficient for targeted changes.
DNA protection strategies: Incorporate phosphorothioate modifications at the 5' ends of dsDNA fragments to protect against exonuclease degradation, significantly improving insertion efficiency.
MMR evasion techniques: Besides Dam overexpression, designing recombineering oligonucleotides to avoid creating mismatches recognized by the MMR system or introducing multiple consecutive mismatches can increase efficiency .
When comparing native and recombinant partial adenine deaminase from L. plantarum, researchers should implement a comprehensive analytical approach:
Sequence analysis:
Confirm the sequence of the partial recombinant protein
Identify truncations or modifications relative to the native enzyme
Use bioinformatics to predict structural impacts of partial sequences
Structural characterization:
Employ circular dichroism (CD) spectroscopy to assess secondary structure elements
Use X-ray crystallography or cryo-EM for high-resolution structural determination
Apply molecular dynamics simulations to predict conformational flexibility
Functional comparison:
Compare kinetic parameters (K₍m₎, V₍max₎, k₍cat₎) between native and recombinant forms
Evaluate substrate specificity profiles across various adenine derivatives
Assess pH and temperature stability profiles
Metal binding analysis:
Determine metal ion content using atomic absorption spectroscopy
Measure enzyme activity after metal chelation and reconstitution
Compare metal binding affinity between native and recombinant forms
In silico analysis:
Use homology modeling based on known deaminase structures
Predict active site architecture and substrate binding residues
Identify potential differences in catalytic mechanisms
Native deaminases typically have rigid requirements for substrate binding, with variations in structure resulting in significant loss of important interactions . For recombinant partial enzymes, this sensitivity may be even more pronounced, requiring careful characterization of functional parameters.
Researchers frequently encounter several challenges when expressing and purifying recombinant L. plantarum adenine deaminase:
Expression levels: Low protein yield is common due to codon usage differences or protein toxicity. This can be addressed by:
Optimizing codon usage for L. plantarum
Using inducible expression systems like the sakacin P-inducible system
Carefully controlling induction conditions to balance protein production and cell health
Protein solubility: Recombinant deaminases often form inclusion bodies. Strategies to improve solubility include:
Lowering expression temperature (20-25°C)
Adding solubility tags (MBP, SUMO, etc.)
Co-expressing molecular chaperones
Including zinc or other metal ions in growth media to facilitate proper folding
Activity retention: Ensuring the recombinant enzyme maintains catalytic function requires:
Careful selection of purification buffers to maintain metal cofactors
Avoiding chelating agents like EDTA
Including reducing agents to maintain cysteine residues in reduced state
Testing activity at each purification step to track activity loss
Partial protein expression: When expressing a partial adenine deaminase, additional challenges include:
Determining the correct boundaries to maintain fold integrity
Potential exposure of hydrophobic regions normally buried in the full-length protein
Loss of stabilizing interactions from missing domains
When facing contradictory data in recombinant adenine deaminase characterization, researchers should implement a systematic troubleshooting approach:
Validate protein identity and integrity:
Confirm protein sequence by mass spectrometry
Check for post-translational modifications or truncations
Verify metal content, as incorrect metal incorporation can dramatically alter activity
Standardize assay conditions:
Ensure consistent buffer composition, pH, and temperature
Validate substrate quality and purity
Use appropriate controls, including commercially available deaminases
Cross-validate with multiple methods:
Compare activity measurements using different detection techniques
Correlate spectrophotometric results with HPLC-based product detection
Verify kinetic parameters using different mathematical models
Address experimental artifacts:
Test for interfering compounds in enzyme preparations
Evaluate potential product inhibition
Check for enzyme aggregation or precipitation during assays
Systematic data analysis:
Perform statistical analysis to determine significance of differences
Use global fitting of data rather than transformed plots when possible
Consider alternative kinetic models beyond Michaelis-Menten if data doesn't fit
An example of systematic troubleshooting can be seen in adenosine deaminase studies, where varying inhibition constants across different studies were reconciled by standardizing experimental conditions and carefully controlling enzyme source and purity .
Engineered L. plantarum expressing modified adenine deaminase opens several promising research directions:
Nucleoside analog prodrug activation: Modified adenine deaminases could activate nucleoside prodrugs in targeted tissue environments, offering site-specific drug delivery for cancer or antiviral therapies.
Purine metabolism modulation: Engineered probiotics expressing modified deaminases could help regulate adenine/adenosine levels in the gut, potentially benefiting conditions like inflammatory bowel disease or colorectal cancer.
RNA editing applications: Adenine deaminases can be engineered to target specific RNA sequences, creating programmable RNA editing tools that could correct genetic mutations at the RNA level.
Biosensor development: Modified deaminases with altered substrate specificity could serve as biosensors for detecting specific nucleobase analogs or environmental toxins.
Synthetic biology circuits: Deaminases could function as molecular switches in synthetic gene circuits, responding to specific nucleobase inputs and producing defined outputs.
The seamless genome editing techniques developed for L. plantarum make these applications particularly attractive, as they allow precise modifications without introducing exogenous genes or plasmids, maintaining the probiotic's GRAS status .
Integrating adenine deaminase engineering with broader metabolic modifications in L. plantarum could create multifunctional probiotic strains with enhanced capabilities: