The recombinant atpE protein is synthesized using E. coli expression systems, leveraging genetic engineering to enhance yield and stability . Key strategies include:
Host Strain Engineering: Deletion of ptsG (glucose transporter) and flhC (flagellar regulator) in E. coli to reduce metabolic competition and improve protein yield .
Vector Design: High-copy plasmids with strong promoters (e.g., T7) to amplify gene expression .
Purification: Immobilized metal affinity chromatography (IMAC) via the His tag ensures high-purity isolation .
Mutant E. coli strains (e.g., Wpf) show 1.81-fold higher recombinant protein yield per glucose unit compared to wild-type systems .
Suppression of acetate overflow metabolism enhances ATP availability, critical for protein synthesis .
ATP synthase subunit c is central to energy transduction in C. michiganensis subsp. michiganensis:
Proton Channeling: The c-ring structure (composed of 10–15 subunit c monomers) rotates in response to proton flux, driving conformational changes in the F₁ sector for ATP synthesis .
Ion Specificity: The inner pore of the c-ring may interact with isoprenoid quinones, stabilizing the structure and preventing ion leakage .
Pathogenicity Link: ATP synthase activity supports bacterial survival under oxidative stress, a trait linked to virulence in plant pathogens .
KEGG: cmi:CMM_1164
STRING: 443906.CMM_1164
Recombinant Cmm atpE protein is typically produced using E. coli expression systems. The full-length protein (1-77aa) is cloned with an N-terminal His-tag to facilitate purification. After expression in E. coli, the protein is purified, typically using affinity chromatography methods that leverage the His-tag . The purified protein is generally provided as a lyophilized powder with purity greater than 90% as determined by SDS-PAGE. For research applications, the protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL with 5-50% glycerol added as a stabilizing agent .
For optimal stability and activity of recombinant Cmm atpE protein, the following storage conditions are recommended:
Storage Parameter | Recommendation |
---|---|
Long-term storage | -20°C to -80°C |
Working aliquots | 4°C (up to one week) |
Buffer composition | Tris/PBS-based buffer with 6% Trehalose, pH 8.0 |
Reconstitution | Add 5-50% glycerol (final concentration) |
Important precautions | Avoid repeated freeze-thaw cycles; briefly centrifuge vial before opening |
Repeated freezing and thawing significantly reduce protein stability and should be avoided. It is advisable to make small working aliquots after reconstitution to minimize freeze-thaw cycles .
The atpE gene can serve as a specific molecular target for Cmm detection using quantitative real-time PCR (qPCR). While atpE sequences are conserved across members of the genus, they show sufficient variation compared to related bacterial genera, making them suitable for specific detection.
For designing primers and probes:
Perform sequence alignment of atpE genes from Cmm and closely related species
Identify regions of conservation within Cmm but divergence from other genera
Design primers with melting temperatures between 58-62°C
Select probes with at least 5°C higher melting temperature than primers
Validate specificity using control samples from related genera such as Corynebacterium, Nocardia, and Rhodococcus
The benefit of targeting atpE is that it exists as a single copy in the genome, allowing for precise quantification of bacterial load, unlike multi-copy targets like rRNA genes .
PMAxx-qPCR is a powerful method for detecting viable Cmm cells while excluding dead cells from detection. The optimization process involves several critical parameters:
Parameter | Optimized Value | Notes |
---|---|---|
PMAxx concentration | 20 μM | Provides best discrimination between viable and dead cells |
Cell concentration range | 10³ to 10⁷ CFU mL⁻¹ | Optimal detection range for accurate quantification |
Light exposure | 15 minutes with halogen lamp | Ensures complete photolysis of PMAxx |
Sample dilution | ≥20× dilution for seed extracts | Reduces turbidity that can interfere with light exposure |
For environmental sample processing:
Extract bacterial cells from the sample matrix
Treat the suspension with 20 μM PMAxx in the dark for 10 minutes
Expose to bright light to photoactivate PMAxx
Extract DNA from the treated samples
Perform qPCR using atpE-specific primers and probes
This method has shown high specificity and sensitivity for detecting Cmm in tomato seed samples with as few as 10 seeds per set .
The viable but nonculturable (VBNC) state of Cmm represents a significant challenge in disease management and detection. To establish a VBNC model:
Prepare a suspension of Cmm cells at 10⁸ CFU mL⁻¹ in appropriate buffer
Induce VBNC state by adding 50 μM copper sulfate to the suspension
Incubate at room temperature for up to one month
Monitor viability using:
PMAxx-qPCR (for membrane integrity)
Flow cytometry with appropriate viability dyes
Attempted culture recovery on standard and enriched media
Validate VBNC state by confirming cells are metabolically active but non-culturable
For VBNC confirmation, researchers should observe:
Positive detection by PMAxx-qPCR
No growth on standard culture media
Membrane integrity confirmed by flow cytometry
Metabolic activity using respiratory indicators
This model can be valuable for studying bacterial persistence mechanisms, evaluating disinfection strategies, and developing detection methods for difficult-to-culture bacterial states .
Developing a reliable standard curve for absolute quantification requires careful consideration of multiple factors:
Plasmid standard preparation:
Clone the target atpE gene fragment into a plasmid vector
Verify sequence integrity through sequencing
Determine plasmid concentration using spectrophotometry
Calculate copy number based on plasmid size and DNA concentration
Standard curve generation:
Create 10-fold serial dilutions ranging from 10² to 10⁸ copies/μL
Perform qPCR in triplicate for each dilution point
Plot Ct values against log-transformed copy numbers
Verify linearity (R² > 0.99) and efficiency (90-110%)
Assay validation:
Include no-template controls to detect contamination
Use internal amplification controls to identify inhibition
Determine limit of detection (LOD) and limit of quantification (LOQ)
Assess inter-assay and intra-assay variation coefficients
When properly established, the standard curve should show a negative linear correlation between bacterial cell numbers and Ct values. An example relationship derived from experimental data shows that for viable Cmm cells in the range of 10³ to 10⁷ CFU mL⁻¹, plotting Ct values versus log-concentration yields a straight-line regression with R² = 0.996 .
The atpE gene presents specific advantages as a molecular marker compared to other ATP synthase subunits:
Feature | atpE | Other ATP synthase subunits |
---|---|---|
Copy number | Single copy | Single copy |
Size | Small (234 bp) | Variable (larger) |
Conservation within genus | 80-100% similarity | Variable similarity |
Divergence from related genera | <50% similarity with Corynebacterium, Nocardia, and Rhodococcus | Variable divergence |
Functional constraints | Highly conserved functional domains | Variable conservation |
Genomic context | Part of ATP synthase operon | Part of ATP synthase operon |
The atpE gene is particularly valuable because it shows sufficient sequence conservation within the genus to serve as a reliable marker, while exhibiting enough sequence divergence from related genera to avoid false positive results . Additionally, its small size makes it amenable to efficient amplification in PCR assays, and its single-copy nature in the genome ensures that quantification directly correlates with bacterial numbers.
Detection of Cmm in environmental samples presents several challenges:
Inhibitory compounds in samples:
Problem: Humic acids, polyphenols, and other compounds can inhibit PCR
Solution: Use specialized DNA extraction kits with inhibitor removal technologies; include internal amplification controls to detect inhibition
Low bacterial concentrations:
Problem: Environmental samples often contain low pathogen levels
Solution: Implement sample concentration steps (filtration, centrifugation); consider sample enrichment when appropriate
Interfering background microflora:
Problem: Non-target bacteria can interfere with detection
Solution: Use highly specific primers and probes; incorporate selective enrichment steps
Sample turbidity affecting PMAxx treatment:
VBNC state detection:
A systematic approach combining proper sample preparation, inhibitor removal, and validated molecular detection can overcome most of these challenges.
When selecting DNA-binding dyes for viable cell detection, researchers should consider several factors:
Parameter | EMA | PMA | PMAxx |
---|---|---|---|
Cell penetration selectivity | Lower (may enter some viable cells) | High | Highest |
Photolysis efficiency | Good | Good | Enhanced |
Working concentration | 5-50 μM | 10-100 μM | 10-20 μM |
Cost | Lowest | Moderate | Highest |
Light source requirements | Halogen/LED (460-500 nm) | Halogen/LED (460-500 nm) | Halogen/LED (460-500 nm) |
Effectiveness with Gram-positive bacteria | Limited | Good | Enhanced |
Experimental validation should include:
Side-by-side comparison using the same bacterial cultures
Testing a range of concentrations for each dye
Evaluating dye efficiency with both live and heat-killed cells
Determining the detection range for each dye
Assessing the impact of the sample matrix on dye performance
Based on research findings, PMAxx has demonstrated superior discrimination between viable and dead Cmm cells compared to PMA, and both PMA and PMAxx outperform EMA in terms of selectivity for membrane-compromised cells .
The atpE gene offers several opportunities for advancing molecular epidemiology and population genetics of Cmm:
Single nucleotide polymorphism (SNP) analysis:
Identify strain-specific variations within the atpE gene
Develop SNP-based typing schemes for tracking outbreak strains
Correlate specific SNP patterns with virulence or environmental adaptation
Population structure analysis:
Compare atpE sequences across geographic regions to assess population diversity
Identify potential founder effects or genetic bottlenecks in pathogen populations
Combine with other housekeeping genes for multi-locus sequence typing (MLST)
Evolutionary studies:
Analyze selection pressures on the atpE gene using dN/dS ratios
Compare evolutionary rates with other ATP synthase subunits
Use atpE sequence data to construct time-calibrated phylogenies
Biogeography applications:
Correlate atpE sequence variants with ecological niches or host range
Map the geographic distribution of specific variants
Identify potential sources of new pathogen introductions
As genomic databases expand, the utility of atpE as a marker for epidemiological studies will likely increase, particularly when integrated with whole-genome approaches .
The ATP synthase complex represents a promising antimicrobial target, with atpE being particularly interesting due to its essential role in energy metabolism. Research opportunities include:
Identification of potential inhibitors:
High-throughput screening of chemical libraries against recombinant atpE
Rational design of inhibitors based on the protein structure
Repurposing existing ATP synthase inhibitors from other bacterial systems
Mechanism of action studies:
Investigate binding modes of potential inhibitors
Determine the impact on proton translocation and ATP synthesis
Analyze the effect on membrane potential and cellular energy status
Evaluation of antimicrobial efficacy:
Test inhibitor effects on bacterial growth in vitro
Assess activity against VBNC state bacteria
Evaluate potential for resistance development
Structure-activity relationships:
Modify lead compounds to improve specificity for Cmm atpE
Optimize pharmacokinetic properties for agricultural applications
Develop formulations suitable for plant application
The recombinant Cmm atpE protein, with its well-characterized sequence and availability as a research reagent, provides an excellent starting point for such investigations, potentially leading to novel control strategies for bacterial canker disease in tomatoes .