MiaA belongs to the tRNA isopentenyltransferase family, catalyzing the addition of a dimethylallyl (prenyl) group to the N<sup>6</sup>-position of adenine at position 37 (A37) in tRNAs recognizing UNN codons. This modification (i<sup>6</sup>A37) is a prerequisite for subsequent methylthiolation by MiaB, forming ms<sup>2</sup>i<sup>6</sup>A37, which stabilizes codon-anticodon interactions and prevents frameshifting during translation .
Substrate specificity: Targets tRNAs with Uracil at the first anticodon position (e.g., tRNA<sup>Phe</sup>, tRNA<sup>Ser</sup>) .
Dependence on isopentenyl pyrophosphate (IPP) as a prenyl donor .
Structural conservation: Contains a conserved GGXXD motif critical for binding the tRNA acceptor stem .
While no published protocols explicitly detail D. shibae MiaA purification, methodologies from E. coli homologs offer a template:
Solubility: MiaA homologs often require chaperone co-expression or low-temperature induction .
Activity assays: Measure prenylation using radiolabeled IPP or tRNA-binding assays .
MiaA levels dynamically adjust under stress, modulating translation to prioritize stress-response proteins:
Oxidative stress: In E. coli, MiaA depletion reduces RpoS (σ<sup>S</sup>) levels, impairing oxidative stress tolerance .
Nutrient limitation: D. shibae upregulates tRNA modifications during anaerobic respiration and arginine fermentation .
Proteomic shifts: MiaA imbalance alters UNN-codon-rich protein synthesis (e.g., heat shock proteins, metabolic enzymes) .
| Condition | MiaA Activity | Frameshift Rate | Key Affected Pathways |
|---|---|---|---|
| MiaA overexpression | Hyperactive | Increased | Misfolded protein stress |
| MiaA knockout | None | Elevated | SOS response, amino acid synthesis |
In pathogens like extraintestinal E. coli (ExPEC), MiaA is essential for virulence:
Fitness in host niches: MiaA-deficient ExPEC strains show reduced survival in murine infection models .
Regulatory network: MiaA influences virulence factors (e.g., adhesins, toxins) by modulating tRNA modification-dependent translation .
Structural studies: Cryo-EM or crystallography of D. shibae MiaA to identify species-specific adaptations.
Metabolic integration: Role of MiaA in D. shibae’s aerobic anoxygenic photosynthesis and denitrification .
Biotechnological applications: Engineering MiaA variants for synthetic biology (e.g., orthogonal tRNA systems).
KEGG: dsh:Dshi_1492
STRING: 398580.Dshi_1492
tRNA dimethylallyltransferase (miaA) is an essential enzyme that catalyzes the transfer of a dimethylallyl group onto the adenine at position 37 in tRNAs that read codons beginning with uridine, leading to the formation of N6-(dimethylallyl)adenosine (i6A) . In D. shibae, this enzyme belongs to the IPP transferase family and plays a critical role in tRNA modification, which affects translational efficiency and fidelity.
The enzyme's function can be biochemically verified through:
In vitro tRNA modification assays
Mass spectrometry analysis of modified tRNAs
Complementation studies in miaA-deficient strains
Recombinant D. shibae miaA protein has the following characteristics:
Experimental approaches to characterize the protein include:
SDS-PAGE analysis for molecular weight confirmation
Circular dichroism for secondary structure analysis
Size exclusion chromatography for oligomeric state determination
For optimal culturing of D. shibae before miaA analysis, the following conditions have been established:
Growth medium: Artificial seawater medium supplemented with 16.9 mM succinate
Harvesting typically at OD₅₇₈ of 0.5 for mid-log phase cells
For stress response studies involving miaA:
Expose cultures to oxidative stress agents such as hydrogen peroxide (10-30 mM), paraquat (10-90 μM), or diamide (0.5-1 mM)
Harvest cells at different time points (0, 30, 60, 120, and 180 min) after stress exposure
Cell disruption can be performed using cell homogenization methods (e.g., FastPrep-24™)
Designing effective experiments to study miaA's role in oxidative stress adaptation requires a systematic approach:
Experimental Design Framework:
Control and variable groups setup
Stress conditions
Multi-omics integration approach
Validation methods
qRT-PCR for gene expression verification
Western blot for protein level confirmation
Enzymatic activity assays for functional validation
Analysis of Results:
Compare stress response profiles between wild-type and miaA-modified strains
Measure survival rates, growth kinetics, and recovery efficiency
Identify genes co-regulated with miaA under stress conditions
Based on characteristics of the miaA protein and similar enzymes in the IPP transferase family, the following purification strategy is recommended:
Optimized Purification Protocol:
Expression system selection
E. coli BL21(DE3) with pET expression vectors
Induction with 0.5 mM IPTG at mid-log phase
Growth at 18°C post-induction to enhance solubility
Lysis and initial purification
Buffer composition: 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol, 1 mM DTT
Addition of protease inhibitor cocktail
Sonication or French press for cell disruption
Clarification by centrifugation at 20,000 × g for 30 min
Affinity chromatography
Ni-NTA column for His-tagged protein
Imidazole gradient elution (20-250 mM)
Secondary purification
Size exclusion chromatography using Superdex 200
Buffer exchange to remove imidazole
Quality control assessments
SDS-PAGE for purity evaluation (>95%)
Dynamic light scattering for aggregation analysis
Thermal shift assay for stability assessment
Activity Preservation:
Addition of 1 mM DTT to prevent oxidation of cysteine residues
Storage at -80°C in small aliquots with 10% glycerol
Avoid repeated freeze-thaw cycles
The expression and regulation of miaA in D. shibae shows distinct patterns under various environmental stressors:
| Stress Condition | miaA Expression Change | Associated Cellular Response | Detection Method |
|---|---|---|---|
| Oxidative stress (H₂O₂) | Moderate upregulation | Activation of peroxide defense systems | Proteomics/Transcriptomics |
| Superoxide stress (Paraquat) | Significant upregulation | Enhanced DNA protection mechanisms | Proteomics/Transcriptomics |
| Thiol stress (Diamide) | Variable response | Protein folding stress response | Proteomics/Transcriptomics |
| Iron limitation | Upregulation | Linked to RirA regulon changes | RT-qPCR |
| Anaerobic conditions | Moderate downregulation | Shift to denitrification pathways | RNA-seq |
Key Findings:
The regulation of miaA appears to be integrated with broader stress response networks in D. shibae
Iron-responsive regulator RirA may influence miaA expression under oxidative stress conditions
Correlation between miaA expression and protection mechanisms for DNA and proteins suggests a role in stress adaptation
Methodological Approach:
RT-qPCR validation of gene expression changes
Western blot analysis with specific antibodies
Reporter gene fusions to monitor promoter activity in real-time
The relationship between miaA and the iron-responsive regulator RirA reveals important insights into regulatory networks in D. shibae:
Key Observations:
RirA is downregulated by various stressors (peroxide, superoxide, and thiol stress)
A rirA deletion mutant showed improved adaptation to peroxide stress
In the rirA deletion mutant, 139 proteins were upregulated, including proteins associated with protection and repair of DNA and proteins (e.g., ClpB, Hsp20, RecA, and thioredoxin-like proteins)
Experimental approach to study this relationship:
Comparative proteomics:
Analyze protein expression profiles in wild-type vs. rirA deletion mutant
Focus on changes in miaA levels and related tRNA modification enzymes
ChIP-seq analysis:
Determine if RirA directly binds to the miaA promoter region
Map the RirA regulon in D. shibae
Physiological studies:
Compare growth kinetics and stress resistance between wild-type, rirA mutant, and miaA mutant strains
Measure tRNA modification levels in each strain under various stress conditions
Genetic complementation:
Construct strains with controlled expression of RirA and miaA
Test for restoration of wild-type phenotypes
When designing experiments to study recombinant D. shibae miaA function in vitro, researchers should consider:
Critical Experimental Design Factors:
Enzyme activity assay optimization:
Substrate selection: Purified tRNAs vs. synthetic oligonucleotides
Buffer composition: pH optimization (typically 7.5-8.0), salt concentration, divalent cations (Mg²⁺)
Detection methods: Radiometric assays with ³H-labeled dimethylallyl pyrophosphate vs. LC-MS/MS
Reaction conditions:
Temperature range: 25-37°C (optimal around 30°C for D. shibae proteins)
Time course: 15-60 minutes with multiple sampling points
Enzyme concentration titration
Controls and validations:
Negative controls: Heat-inactivated enzyme, no substrate, no enzyme
Positive controls: Characterized miaA from model organisms (E. coli)
Substrate specificity testing with different tRNA species
Data analysis approach:
Enzyme kinetics calculations (Km, Vmax, kcat)
Statistical analysis across replicates (minimum triplicates)
Comparison to published values for related enzymes
Potential Pitfalls and Solutions:
Enzyme instability: Add stabilizing agents (glycerol, reducing agents)
Low activity: Optimize co-factor concentrations and reaction conditions
Non-specific activity: Include competitor nucleic acids
Investigating miaA's role in D. shibae's symbiotic relationships with marine microalgae requires specialized experimental approaches:
Experimental Strategy:
Co-culture system establishment:
Multi-level analysis:
Growth kinetics of both partners
Metabolite exchange profiling via targeted metabolomics
Transcriptome analysis of both organisms during different interaction phases
Microscopy to observe physical interactions
Genetic manipulation approaches:
Complementation with wild-type or mutant miaA variants
Controlled expression systems (inducible promoters)
Fluorescently tagged miaA to monitor localization
Specific hypotheses to test:
Data Collection and Analysis:
Time-course sampling for transcriptomics and proteomics
Quantification of exchanged metabolites
Statistical comparison between wild-type and mutant co-cultures
D. shibae can grow anaerobically using nitrate as a terminal electron acceptor , making it important to understand miaA regulation under these conditions:
Recommended Techniques:
Experimental setup for anaerobic growth:
Gene expression analysis:
RNA-seq for genome-wide transcriptional changes
RT-qPCR for targeted analysis of miaA and related genes
Northern blotting to detect transcript size and stability
Reporter gene fusions (e.g., miaA promoter::GFP) for real-time monitoring
Protein-level analysis:
Western blotting with specific antibodies
Targeted proteomics (MRM-MS) for quantification
Activity assays to correlate expression with function
Data integration approach:
| Technique | Advantages | Limitations | Application |
|---|---|---|---|
| RNA-seq | Genome-wide, quantitative | Costly, complex analysis | Global transcriptional profiling |
| RT-qPCR | Sensitive, specific, cost-effective | Limited to targeted genes | Validation of expression changes |
| Western blot | Direct protein detection | Requires specific antibodies | Protein level confirmation |
| Reporter fusions | Real-time monitoring | Requires genetic modification | Promoter activity analysis |
| Proteomics | Comprehensive protein profiling | Lower sensitivity than transcriptomics | Identifying post-transcriptional regulation |
To effectively analyze the data:
Apply appropriate normalization methods for each technique
Use time-series analysis to track expression dynamics
Compare with other stress responses to identify common regulatory mechanisms