Recombinant DNA technology allows scientists to produce large quantities of specific proteins, like hisA, for research and industrial purposes . The gene encoding hisA can be isolated from Lactobacillus plantarum and inserted into a suitable expression vector, which is then introduced into a host organism such as E. coli . The host organism then produces the hisA enzyme, which can be purified and used for various applications:
Industrial Bioprocessing: Lactobacillus plantarum is used in industrial processes due to its metabolic capabilities and acid tolerance .
Enzyme Studies: Recombinant hisA can be used to study the enzyme's structure, function, and mechanism of action . This information can provide insights into the histidine biosynthesis pathway and potentially lead to the development of novel antibacterial agents .
Metabolic Engineering: Understanding the role of hisA can aid in metabolic engineering efforts to enhance the production of histidine or other valuable compounds in Lactobacillus plantarum .
Surface Display Systems: Recombinant L. plantarum strains can be engineered to display proteins like Poly-γ-glutamic acid synthetase A (PgsA) on their surface, creating potential applications in vaccines and therapeutics .
KEGG: lpl:lp_2556
STRING: 220668.lp_2556
The pSIP expression system has emerged as one of the most effective platforms for recombinant protein expression in L. plantarum. This system utilizes the regulatory elements from quorum sensing-based bacteriocin regulation operons in L. sakei and is induced by autoinducer peptides (AIP) . For HisA expression specifically, the pSIP411 vector has demonstrated high efficiency, capable of producing significant yields of other recombinant proteins (up to 1800 Miller Unit equivalents of β-glucuronidase) . The system enables dose-dependent expression control, which is particularly valuable for enzymes like HisA where expression level optimization may be necessary to prevent metabolic burden.
For optimal results, consider:
Using the pSIP401/411 expression vectors with erythromycin resistance markers
Incorporating appropriate signal peptides for desired localization (intracellular vs. secreted)
Optimizing inducer concentration (typically 50 ng/mL SppIP for maximum yield)
Induction timing (typically at early to mid-logarithmic phase)
Codon optimization is critical for efficient HisA expression in L. plantarum due to its specific codon usage bias. Studies with other recombinant proteins have demonstrated that codon optimization can significantly enhance expression efficiency . For example, in a study with recombinant spike protein expression, researchers found that codon optimization according to L. plantarum's preferences resulted in 2-3 fold higher expression levels .
For HisA optimization:
Analyze the codon usage bias of L. plantarum strain being used (typically WCFS1)
Replace rare codons in the hisA gene with preferred synonymous codons
Avoid introducing unwanted secondary structures in the mRNA
Optimize the 5' region of the gene, which has a particularly strong impact on translation efficiency
Consider GC content adjustments to match host preferences
Signal peptide selection significantly impacts recombinant protein yield and localization. For HisA expression in L. plantarum, specific signal peptides have shown superior performance:
Optimizing growth and induction conditions is essential for maximizing functional HisA production:
Growth Medium and Conditions:
MRS broth for initial cultivation at 37°C without agitation
For defined studies, chemically defined medium (CDM) can eliminate interference from complex media components
Anaerobic conditions typically yield higher biomass for L. plantarum
Induction Parameters:
Induce at early-mid logarithmic phase (OD600 ≈ 0.3-0.5)
Optimal inducer concentration: 50 ng/mL SppIP for pSIP-based systems
Induction temperature: 37°C shows highest protein yield
Harvest timing: 6-10 hours post-induction typically yields maximum protein
Research has shown that mRNA levels of recombinant genes in L. plantarum peak at approximately 3 hours post-induction, while protein accumulation continues until 6-10 hours . Extended cultivation may lead to proteolytic degradation of the target protein.
For accurate assessment of HisA activity in recombinant L. plantarum:
Direct Enzymatic Assay:
Measure conversion of ProFAR to PRFAR spectrophotometrically at 300 nm
Alternatively, couple the reaction with downstream histidine pathway enzymes and measure product formation
Use cell-free extracts for intracellular enzyme or culture supernatants for secreted variants
Complementation Assay:
Transform HisA-deficient bacterial strains with the recombinant L. plantarum hisA
Assess growth restoration on histidine-free medium
Compare growth rates as semi-quantitative measure of HisA activity
Protein Quantification:
Western blot analysis using anti-His tag antibodies for His-tagged HisA
SDS-PAGE with Coomassie staining for visual comparison
Advanced MS-based absolute quantification methods for precise measurements
Ensure consistent biomass normalization (e.g., by OD600) when comparing different strains or conditions to obtain reliable specific activity values.
Efficient purification of recombinant HisA from L. plantarum requires a strategic approach:
For His-tagged HisA:
Cell disruption: Use French press or sonication with appropriate buffer (typically phosphate buffer pH 7.4 with 1 mM PMSF)
Clarification: Centrifuge at 9,300 × g, 10 min, at 4°C to remove cell debris
Immobilized metal affinity chromatography (IMAC): Use Ni-NTA resin with imidazole gradient elution
Polishing step: Size exclusion chromatography to remove aggregates and achieve >95% purity
For non-tagged HisA:
Ammonium sulfate precipitation (typically 40-60% saturation)
Ion exchange chromatography (HisA pI-dependent)
Hydrophobic interaction chromatography
Gel filtration as a final polishing step
Protein stability during purification can be enhanced by including 10% glycerol and 5 mM β-mercaptoethanol in all buffers. For His-tagged constructs, the C-terminal His6-tag has been shown to be more effective than N-terminal tagging in L. plantarum expression systems .
Accurate transcriptional analysis of hisA expression requires careful methodology:
Real-time RT-qPCR approach:
Total RNA extraction: Use RNeasy Mini Kit (Qiagen) or similar, with DNase treatment
cDNA synthesis: Employ reverse transcriptase with random hexamers or specific primers
Reference gene selection: Use validated genes in L. plantarum like 16S rRNA, recA, ldhD
Primer design: Target hisA-specific regions, avoiding vector sequences
Data analysis: Apply relative quantification using the 2^-ΔΔCt method with REST2009 software
Critical considerations:
Harvest cells at multiple time points post-induction (0h, 1h, 3h, 6h, 9h) to capture expression dynamics
Include non-induced controls to determine baseline expression
Verify primer specificity through melting curve analysis and amplicon sequencing
Normalize to multiple reference genes for robust quantification
Studies with other recombinant proteins in L. plantarum have shown that transcript levels typically peak at approximately 3 hours post-induction, reaching up to 46-58 fold upregulation compared to non-induced controls .
When confronting HisA misfolding or insolubility in L. plantarum:
Experimental approaches:
Lower induction temperature (30°C instead of 37°C) to slow folding rate
Reduce inducer concentration (25 ng/mL instead of 50 ng/mL) to prevent overwhelming folding machinery
Co-express chaperones (GroEL/GroES) to assist proper folding
Introduce fusion partners (thioredoxin, MBP) to enhance solubility
Test multiple signal peptides for secreted variants - Lp_0373 may provide better folding despite lower yield
Analysis methods:
Compare soluble vs. insoluble fractions via SDS-PAGE and Western blot
Employ differential scanning calorimetry to assess protein stability
Use circular dichroism to evaluate secondary structure integrity
Apply size exclusion chromatography to detect aggregation states
Notably, environmental conditions of the L. plantarum cytoplasm (pH, redox potential) significantly impact recombinant protein folding. L. plantarum has adapted multiple mechanisms to maintain pH homeostasis, including upregulation of phosphofructokinase (pfk) and pyruvate-kinase (pyk) genes, which can be leveraged to optimize HisA folding conditions .
Maintaining genetic stability is critical for consistent HisA production:
Monitoring approaches:
Regular PCR verification of plasmid presence using vector-specific primers
Restriction enzyme analysis of recovered plasmids to detect rearrangements
Sequencing of the expression cassette to identify mutations
Routine activity assays to detect functional changes in the expressed enzyme
Flow cytometry to quantify the percentage of L. plantarum cells retaining expression capacity
Stability enhancement strategies:
Maintain selective pressure (antibiotic) during all cultivation steps
Avoid extended cultivation (>24h) which selects for non-producing mutants
Optimize codon usage to reduce metabolic burden
Consider genomic integration for ultra-stable expression
Use food-grade selection systems instead of antibiotic markers for long-term applications
Research with L. plantarum has shown that recombinant strains can maintain stable protein expression for at least 3 months with appropriate selection pressure . Host-derived adaptations during this period may actually improve expression efficiency through mutations that enhance carbohydrate utilization and acid tolerance .
HisA overexpression creates significant metabolic perturbations that can be analyzed through comprehensive metabolomic approaches:
Expected metabolic changes:
Altered histidine pathway metabolite concentrations (increased PRFAR, potential decrease in downstream metabolites)
Changes in amino acid pools, particularly in related pathways (aromatic amino acids, purine metabolism)
Potential impact on stress response metabolites (altered levels of amino acids like alanine and arginine that play role in acid stress response)
Shifts in central carbon metabolism to accommodate increased protein production demand
Analytical techniques:
Targeted LC-MS/MS for histidine pathway metabolites
Untargeted metabolomics for global metabolic impact assessment
13C metabolic flux analysis to determine redistribution of carbon flows
Transcriptomics to identify metabolic adjustments in response to HisA overexpression
Similar metabolomic studies with L. plantarum strains have revealed that recombinant protein expression often alters nucleoside metabolism and can increase production of beneficial compounds like linolenic acid and proline . These changes may impact both the industrial utility and potential probiotic applications of the strain.
For applications requiring maximum stability, genomic integration provides advantages over plasmid-based expression:
Integration methodologies:
Homologous recombination targeting non-essential genes
Design constructs with 1-2 kb homology arms flanking the hisA expression cassette
Use temperature-sensitive plasmids for delivery and selection of integrants
Screen for double-crossover events using negative selection markers
CRISPR-Cas9 mediated integration
Design sgRNA targeting safe harbor sites in L. plantarum genome
Include homology-directed repair template containing the hisA expression cassette
Employ counterselection to eliminate CRISPR plasmid after integration
Site-specific recombination systems
Engineer attB sites into L. plantarum genome
Deliver hisA cassette on plasmid containing corresponding attP sites
Express phage integrase to catalyze site-specific integration
Integration site selection criteria:
Target intergenic regions between convergent genes
Avoid disrupting operons or regulatory regions
Consider transcriptionally active regions for higher expression
Assess impact on fitness through growth rate comparison
While genomic integration typically results in lower expression levels than high-copy plasmids, the increased stability makes it preferable for long-term applications or when antibiotic selection is not possible.
CRISPR-Cas9 technology offers revolutionary approaches to enhance HisA production:
Genetic optimization strategies:
Knockout competing metabolic pathways
Target genes from branched amino acid pathways that compete for metabolic precursors
Delete proteases (Clp, DnaK) that may degrade recombinant HisA
Inactivate carbon sinks that divert resources from protein production
Promoter engineering
Replace native promoters of folding assistants (chaperones) with stronger versions
Modify the pSIP expression system for enhanced transcription
Engineer constitutive promoters with varying strengths for optimal expression
Multiplex genome editing
Simultaneously modify multiple targets affecting HisA production
Create libraries of variant strains for high-throughput screening
Integrate production enhancement modifications with biosafety features
Base editing applications
Fine-tune ribosome binding sites for optimal translation initiation
Modify codons at critical positions without introducing double-strand breaks
Alter regulatory elements controlling stress response to enhance tolerance to HisA overproduction
The luxS gene represents a promising target for CRISPR modification, as its deletion has been shown to alter the expression of proteins involved in carbohydrate metabolism, amino acid metabolism, and two-component regulatory systems in L. plantarum , potentially enhancing recombinant protein production.
Understanding how HisA expression affects probiotic functionality is crucial for applications where both enzyme production and probiotic benefits are desired:
Potential impacts on probiotic properties:
Stress tolerance alterations
HisA overexpression may affect acid and bile tolerance through metabolic burden
Changes in membrane composition may occur as adaptation to protein production
Expression system (particularly signal peptides) may impact cell wall integrity
Immunomodulatory effects
Adhesion capabilities
Surface protein composition changes may alter binding to intestinal mucosa
Metabolic alterations could affect production of factors promoting adhesion
Physiological stress from recombinant expression may downregulate native adhesins
Metabolic output modifications
Analysis methodologies should include comparative genomics, transcriptomics, and in vitro models assessing adhesion, immunomodulation, and stress tolerance. Animal models would ultimately be required to confirm retention of probiotic benefits alongside successful HisA expression.
Emerging synthetic biology tools offer exciting possibilities for next-generation HisA production systems:
Advanced expression control systems:
Riboswitches responsive to metabolic signals for auto-regulated expression
Orthogonal RNA polymerases and promoters for expression independent of host machinery
Genetic circuits enabling dynamic regulation based on cellular state
Light-controlled promoters for non-invasive induction without chemical additives
Genome minimization projects:
Creation of chassis strains with reduced genomes optimized for recombinant protein production
Elimination of competing pathways and mobile genetic elements
Engineering of synthetic metabolic modules specifically supporting HisA production
Development of "plug-and-play" expression platforms with standardized parts
New delivery technologies:
Engineering of outer membrane vesicles to carry HisA for targeted delivery
Development of controlled lysis systems for programmable enzyme release
Cell surface display approaches for immobilized enzyme applications
Self-cleaving signal peptides for enhanced secretion efficiency
These approaches represent the frontier of L. plantarum engineering, moving beyond individual gene modifications to holistic redesign of cellular functions for optimal protein production.
Directed evolution offers powerful methods to enhance HisA properties:
Directed evolution methodologies:
Error-prone PCR libraries of hisA gene with varying mutation rates
DNA shuffling with homologous hisA genes from related organisms
Semi-rational design focusing on active site residues and substrate binding regions
Continuous evolution systems coupling HisA activity to bacterial survival
Screening strategies:
High-throughput colorimetric assays for HisA activity
Growth-based selection in histidine auxotrophs
FACS-based screening using fluorescent reporters linked to activity
Microfluidic droplet sorting for ultra-high throughput evaluation
Target improvements:
Enhanced catalytic efficiency (increased kcat/Km)
Improved thermostability for industrial applications
Extended pH tolerance matching L. plantarum growing conditions
Reduced product inhibition for higher conversion rates
Altered substrate specificity for novel biotechnological applications
Success with similar approaches has been demonstrated with other enzymes in L. plantarum, including the engineering of α-amylase variants with enhanced thermostability and specific activity .