MiaA catalyzes the prenylation of adenosine-37 (A37) in tRNAs recognizing UNN codons (e.g., tRNALeu, tRNATrp, tRNALys). This modification is critical for translational fidelity and is conserved across bacteria.
| Parameter | Value | Source |
|---|---|---|
| K<sub>m</sub> (tRNA) | ~3 nM | |
| K<sub>m</sub> (DMAPP) | 632 nM | |
| k<sub>cat</sub> | 0.44 s<sup>−1</sup> | |
| Inhibitors | ATP, ADP (K<sub>i</sub> ≈ 0.06 µM) |
MiaA exhibits high affinity for tRNA substrates and is competitively inhibited by ATP/ADP, suggesting in vivo regulation by nucleotide availability .
Operon Structure: In E. coli, miaA is part of an operon with hfq, encoding an RNA chaperone critical for sRNA-mediated regulation .
Post-Transcriptional Regulation:
MiaA levels adjust post-transcriptionally under stress (e.g., nutrient deprivation, oxidative stress), modulating tRNA modification and proteome-wide translational fidelity .
Frameshift Suppression: MiaA deficiency increases translational frameshifting, altering protein expression .
RpoS Regulation: MiaA is essential for robust RpoS (σ<sup>S</sup>) expression, a stationary-phase sigma factor. miaA mutants show 2–3-fold reduced RpoS levels, impairing stress responses .
In E. coli pathotypes (e.g., ExPEC), MiaA optimizes proteome responses to host environments. Its dysregulation disrupts:
Virulence Factor Translation
Metabolic Precursor Availability
Stress Response Networks
While E. sibiricum is a psychrotolerant bacterium with unique thermal adaptation genes (e.g., cold-shock proteins, heat-shock chaperones) , no evidence of miaA homologs exists in its genome. Key differences include:
| Feature | E. coli MiaA | E. sibiricum (Hypothetical) |
|---|---|---|
| Primary Function | tRNA prenylation | Unknown |
| Regulatory Partners | CsrA/CsrB, Hfq | Not reported |
| Stress Response | Host adaptation, RpoS control | Cold/heat shock proteins |
Recombinant MiaA has been expressed in E. coli for biochemical assays, enabling studies on:
While speculative, recombinant MiaA in E. sibiricum could:
Enhance Cold Adaptation: By optimizing tRNA modifications for low-temperature translation.
Stress Response Engineering: Modulating proteome-wide responses to permafrost conditions (e.g., osmotic stress, radiation) .
Homology Identification: Sequence-based searches for miaA homologs in E. sibiricum genomes.
Functional Characterization: Assessing whether E. sibiricum employs MiaA-like enzymes for tRNA modification.
Synthetic Biology: Engineering MiaA in E. sibiricum to improve biotechnological applications (e.g., psychrotolerant biofactories).
KEGG: esi:Exig_1077
STRING: 262543.Exig_1077
Exiguobacterium sibiricum is a gram-positive, non-spore-forming, rod-shaped bacterium belonging to the genus Exiguobacterium. This organism is particularly significant for enzyme research due to its psychrotolerant properties, being capable of growth at temperatures as low as 4°C . As a member of the coryneform bacteria group, E. sibiricum exhibits several distinctive characteristics: it grows aerobically, is motile, catalase-positive, and oxidase-negative . The bacterium forms mucoid, initially gray colonies that turn orange after 48 hours of incubation on blood agar, with no hemolysis observed .
E. sibiricum is an ideal source for MiaA research because its adaptation to extreme environments may confer unique structural and functional properties to its enzymes. The bacterium's ability to thrive in cold conditions suggests that its enzymes, including MiaA, may possess specialized adaptations for functionality at lower temperatures, making them valuable models for understanding enzyme cold adaptation mechanisms.
tRNA dimethylallyltransferase, encoded by the miaA gene, is an enzyme that catalyzes a critical step in tRNA modification. Specifically, it transfers a five-carbon isoprenoid moiety from dimethylallyl pyrophosphate (DMAPP) to the amino group of adenosine at position 37 of specific tRNAs . This modification, located adjacent to the anticodon, enhances codon-anticodon interactions during translation, thereby improving translational efficiency and fidelity.
Structurally, MiaA (also called DMATase) possesses a central channel spanning the entire width of the enzyme. This architecture accommodates both substrates—tRNA enters from one side and DMAPP from the opposite side—in an ordered sequence, with tRNA binding first followed by DMAPP . The modification reaction occurs in the middle of this channel where the two substrates meet. Interestingly, MiaA's structure shows homology to a class of small soluble kinases involved in nucleotide precursor biosynthesis, suggesting its evolutionary origin .
For effective cultivation of E. sibiricum, researchers should consider the following growth parameters:
Temperature range: The organism can grow at temperatures as low as 4°C (demonstrated by growth on blood agar after 6 days of incubation) . Standard laboratory cultivation typically occurs at 30-37°C for faster growth.
Media: Blood agar supports growth well, with distinctive colony morphology (gray colonies turning orange after 48 hours) .
Oxygen requirements: E. sibiricum is facultatively anaerobic, meaning it can grow in both aerobic and anaerobic conditions .
Growth characteristics: Colonies appear mucoid and non-hemolytic on blood agar .
The ability to grow at 4°C is a distinguishing characteristic that differentiates E. sibiricum from related bacteria like Bacillus anthracis, which cannot grow at this temperature . This psychrotolerant nature is particularly important for researchers interested in cold-adapted enzymes.
Accurate identification of E. sibiricum requires a combination of traditional microbiological methods and molecular techniques. The table below outlines key differentiating characteristics between E. sibiricum and B. anthracis, which can appear similar in some clinical presentations:
| Characteristic | E. sibiricum | B. anthracis |
|---|---|---|
| Colony on blood agar | Mucoid and orange | Gray-white to white |
| Spore production | - | + (central) |
| Motility | + | - |
| Hemolysis on blood agar | - | - |
| Penicillin susceptibility | + | + |
| Catalase production | + | + |
| Indole production | - | - |
| Growth at 4°C | + | - |
| Anaerobic growth | + | + |
| Cutaneous infection | Ulcer, black eschar, blister | Eschar, malignant pustule |
| Other infections | None reported | Intestinal anthrax, pulmonary anthrax, meningitis |
Conventional identification methods can be difficult and should be confirmed with molecular assays . Definitive identification requires 16S rRNA gene sequencing, which has been shown to reliably identify E. sibiricum with high accuracy (99.6% similarity to reference sequences) .
The structure of tRNA dimethylallyltransferase reveals several distinctive features that influence its function. Crystal structures of DMATase (at 1.9 Å resolution) show a central channel spanning the width of the enzyme . This architectural feature is critical for the enzyme's function, as it allows:
Entry of tRNA substrate from one side
Entry of DMAPP (dimethylallyl pyrophosphate) from the opposite side
Sequential binding in an ordered manner (tRNA first, DMAPP second)
Catalysis of the modification reaction at the meeting point in the middle of the channel
While the structure described in the search results is from Pseudomonas aeruginosa DMATase, the E. sibiricum enzyme would likely share many conserved features given the functional constraints of the reaction it catalyzes. The enzyme belongs to a structural family related to small soluble kinases involved in nucleotide precursor biosynthesis, suggesting its evolutionary trajectory .
A distinctive feature of DMATase is its conserved loop for pyrophosphate recognition, similar to the P-loop found in diverse nucleotide-binding proteins . This structural arrangement makes DMATase mechanistically and structurally distinct from farnesyltransferase, another prenyltransferase family involved in protein modification .
For optimal expression of recombinant E. sibiricum MiaA, researchers should consider expression systems that accommodate the enzyme's potential cold-adaptation features. Based on general principles for expressing enzymes from psychrotolerant organisms, the following approach is recommended:
Host selection: Escherichia coli BL21(DE3) strains are commonly used for initial expression trials. For difficult-to-express proteins from cold-adapted organisms, specialized strains like Arctic Express (containing cold-adapted chaperonins) may improve soluble expression.
Expression vectors: Vectors containing strong inducible promoters (T7, tac) with temperature-modulated induction systems are preferable. Including solubility-enhancing fusion tags such as MBP (maltose-binding protein), SUMO, or thioredoxin can improve soluble expression.
Induction conditions: Lower induction temperatures (15-20°C) often improve the solubility of recombinant proteins from psychrotolerant organisms by slowing protein synthesis and allowing proper folding. Extended expression periods (overnight) at these reduced temperatures may be necessary.
Media optimization: Enriched media formulations (such as Terrific Broth) supplemented with osmolytes or compatible solutes may enhance protein stability during expression.
The effectiveness of these strategies may vary, necessitating optimization for the specific recombinant E. sibiricum MiaA construct. Monitoring expression through small-scale trials with different conditions is advised before proceeding to large-scale production.
Accurate measurement of MiaA activity requires assays that detect the transfer of the dimethylallyl group from DMAPP to the adenosine at position 37 of tRNA. Several methodological approaches can be employed:
Radioisotope-based assays: Using [14C]- or [3H]-labeled DMAPP as substrate and monitoring the incorporation of radioactivity into tRNA. This approach offers high sensitivity but requires handling of radioactive materials.
HPLC-based assays: Analyzing the modification status of tRNA substrates before and after incubation with the enzyme. Modified nucleosides exhibit different retention times compared to unmodified ones.
Mass spectrometry: Detection of the mass shift in tRNA or its digestion products resulting from the addition of the dimethylallyl group. This approach offers high sensitivity and specificity.
Coupled enzyme assays: Detecting the release of pyrophosphate through coupling with pyrophosphatase and other enzymes that generate a colorimetric or fluorescent signal.
A typical reaction mixture would contain:
Purified recombinant E. sibiricum MiaA
Appropriate tRNA substrate (either total tRNA or specific tRNA species)
DMAPP (dimethylallyl pyrophosphate)
Buffer system (typically at pH 7.5-8.0)
Divalent cations (Mg2+ is often required)
Reducing agent (DTT or β-mercaptoethanol)
For evaluating cold-adaptation properties, activity measurements should be conducted across a temperature range (e.g., 4-37°C) to determine the temperature optimum and activity profile of the enzyme.
Based on knowledge of tRNA dimethylallyltransferases, E. sibiricum MiaA likely exhibits the following substrate specificities:
tRNA specificity: MiaA typically modifies tRNAs that read codons beginning with U, particularly tRNAPhe, tRNATyr, and tRNATrp. The enzyme recognizes specific structural features in these tRNAs, with the anticodon loop structure being particularly important for substrate recognition.
Nucleoside specificity: The enzyme specifically modifies adenosine at position 37, which is adjacent to the anticodon. This position is highly conserved in tRNAs that serve as MiaA substrates.
Prenyl donor specificity: DMAPP (dimethylallyl pyrophosphate) serves as the donor of the five-carbon isoprenoid moiety . The enzyme likely has a specific binding pocket for this substrate, with recognition of the pyrophosphate portion via a conserved loop similar to the P-loop in nucleotide-binding proteins .
Catalytic mechanism: The reaction appears to proceed through an ordered binding mechanism, with tRNA binding first followed by DMAPP . This order is facilitated by the central channel architecture of the enzyme.
To experimentally determine the substrate specificity of E. sibiricum MiaA, researchers could employ:
In vitro modification assays with various tRNA species
Structure-based mutational analysis of the enzyme
Competition assays with different potential prenyl donors
Binding studies using isothermal titration calorimetry or surface plasmon resonance
For optimal purification of recombinant E. sibiricum MiaA while maintaining enzymatic activity, the following multi-step strategy is recommended:
Cell lysis conditions:
Buffer composition: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, 1 mM DTT
Addition of protease inhibitors (PMSF or commercial cocktail)
Gentle lysis methods (sonication with cooling periods or enzymatic lysis) to prevent protein denaturation
Initial capture:
Affinity chromatography using a fusion tag (His6, MBP, or GST tag)
For His-tagged constructs: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Washing with increasing imidazole concentrations (10-40 mM) to remove non-specifically bound proteins
Elution with higher imidazole concentration (250-300 mM)
Intermediate purification:
Ion exchange chromatography based on the theoretical pI of the protein
For proteins with pI < 7: Q-Sepharose (anion exchange)
For proteins with pI > 7: SP-Sepharose (cation exchange)
Salt gradient elution (typically 0-1 M NaCl)
Polishing step:
Size exclusion chromatography to remove aggregates and achieve high purity
Recommended column: Superdex 200 or Sephacryl S-200
Running buffer: 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 5% glycerol, 1 mM DTT
Special considerations for cold-adapted enzymes:
Maintain lower temperatures (4-15°C) throughout purification
Include stabilizing agents (glycerol, trehalose, or specific ions)
Avoid freeze-thaw cycles that may lead to activity loss
Consider rapid purification protocols to minimize time for potential denaturation
The purified enzyme should be assessed for homogeneity using SDS-PAGE and for activity using appropriate enzymatic assays. For long-term storage, flash freezing in liquid nitrogen with cryoprotectants (e.g., 20% glycerol) and storage at -80°C is recommended.
Optimizing crystallization trials for structural studies of E. sibiricum MiaA requires careful attention to several factors:
Protein preparation:
Ensure high purity (>95% as assessed by SDS-PAGE and size exclusion chromatography)
Verify protein homogeneity using dynamic light scattering
Determine optimal buffer conditions for stability using thermal shift assays
Consider protein engineering approaches (surface entropy reduction, removal of flexible regions) if initial trials fail
Initial screening:
Commercial sparse matrix screens (Hampton Research, Molecular Dimensions, Qiagen)
Grid screens based on successful conditions for related enzymes
Inclusion of substrate analogs or products to stabilize active site conformations
Variation of protein concentration (typically 5-15 mg/ml)
Optimization strategies:
Fine-tuning of precipitant concentration
pH optimization (typically in 0.2 unit increments)
Additive screening (small molecules, ions, detergents)
Seeding techniques (microseed matrix screening)
Cold-adaptation considerations:
Trial crystallization at different temperatures (4°C, 10°C, 18°C)
Include cryoprotectants that maintain cold-adapted enzyme conformations
Consider co-crystallization with tRNA substrate or DMAPP
Data collection strategies:
Cryoprotection protocols to prevent ice formation
In-house preliminary diffraction testing before synchrotron data collection
Multiple anomalous dispersion (MAD) or molecular replacement using related structures as search models
Based on information about DMATase structure , considering crystallization with components that stabilize the central channel architecture may be beneficial. Additionally, co-crystallization with pyrophosphate has been successful for related enzymes and could be attempted for E. sibiricum MiaA .
To comprehensively characterize the temperature dependence of E. sibiricum MiaA activity, researchers should implement the following experimental approaches:
Temperature-activity profiling:
Measure enzyme activity across a wide temperature range (0-50°C)
Use appropriate temperature controls and equilibration periods
Plot relative activity versus temperature to determine temperature optimum
Compare with MiaA enzymes from mesophilic organisms to identify cold-adaptation features
Thermal stability assessment:
Differential scanning calorimetry (DSC) to determine melting temperature (Tm)
Circular dichroism (CD) spectroscopy at various temperatures to monitor secondary structure changes
Fluorescence-based thermal shift assays for high-throughput screening of stabilizing conditions
Activity retention after incubation at various temperatures (thermal inactivation kinetics)
Kinetic parameter determination at different temperatures:
Measure Km and kcat values for both tRNA and DMAPP substrates at multiple temperatures
Calculate activation energy (Ea) using Arrhenius plots
Determine thermodynamic parameters (ΔH‡, ΔG‡, ΔS‡) using transition state theory
Structural analysis of temperature effects:
Hydrogen-deuterium exchange mass spectrometry at different temperatures
Solution nuclear magnetic resonance (NMR) spectroscopy to detect temperature-dependent conformational changes
Molecular dynamics simulations to identify regions with temperature-dependent flexibility
Comparative analysis with homologous enzymes:
Side-by-side comparison with MiaA from mesophilic and thermophilic organisms
Identification of specific amino acid substitutions associated with cold adaptation
Site-directed mutagenesis to verify the role of specific residues in cold adaptation
These approaches collectively provide a comprehensive understanding of how E. sibiricum MiaA has adapted to function at lower temperatures, potentially revealing unique structural and functional features that could be applied to enzyme engineering for low-temperature applications.
Poor expression yields of recombinant E. sibiricum MiaA can be addressed through several methodological interventions:
Codon optimization strategies:
Analyze the codon usage of the native gene compared to the expression host
Synthesize a codon-optimized version for expression in E. coli or other expression hosts
Consider the use of strains containing rare codon tRNAs (e.g., Rosetta strains)
Expression construct optimization:
Test multiple fusion tags (His, GST, MBP, SUMO, Thioredoxin) to improve solubility
Optimize the position of the tag (N-terminal vs. C-terminal)
Include TEV or other protease cleavage sites for tag removal
Consider domain truncation if the full-length protein expresses poorly
Expression condition modifications:
Reduce induction temperature (15-20°C) to slow protein synthesis and improve folding
Test various inducer concentrations (0.01-1 mM IPTG for T7-based systems)
Extend expression time at lower temperatures (24-48 hours)
Try auto-induction media for gradual protein expression
Host strain selection:
Test expression in multiple E. coli strains (BL21(DE3), C41/C43, Arctic Express)
Consider non-E. coli expression systems (Pichia pastoris, insect cells) for difficult proteins
Use strains with enhanced disulfide bond formation capabilities if applicable
Co-expression approaches:
Co-express with molecular chaperones (GroEL/ES, DnaK/J) to improve folding
Co-express with partners or subunits if the protein functions in a complex
Include sigma factors or transcription factors that might regulate expression in the native organism
Systematic testing of these variables through small-scale expression trials, followed by SDS-PAGE and western blot analysis, can identify optimal conditions for subsequent scale-up. For psychrotolerant enzymes like E. sibiricum MiaA, cold-induction strategies may be particularly effective in obtaining correctly folded, active protein.
When E. sibiricum MiaA exhibits unexpectedly low enzymatic activity, researchers should systematically investigate the following potential issues:
Protein quality factors:
Verify protein integrity using SDS-PAGE and mass spectrometry
Check for proteolytic degradation with western blotting
Assess protein folding using circular dichroism or fluorescence spectroscopy
Determine aggregation state using size exclusion chromatography or dynamic light scattering
Substrate-related considerations:
Confirm tRNA substrate quality (integrity, correct folding)
Verify DMAPP purity and stability
Test multiple tRNA species as the enzyme may have specific substrate preferences
Consider tRNA pre-folding steps or renaturation protocols
Buffer optimization:
Screen different buffer systems (HEPES, Tris, phosphate) across pH range 6.5-8.5
Test various salt concentrations (50-300 mM NaCl or KCl)
Optimize divalent cation concentration (Mg2+, Mn2+) as they are often essential for activity
Include stabilizing agents (glycerol, BSA) to prevent surface denaturation
Temperature considerations:
As a psychrotolerant organism enzyme, E. sibiricum MiaA may have optimal activity at lower temperatures
Perform activity assays across a temperature range (4-37°C)
Allow sufficient incubation time at lower temperatures to compensate for slower reaction rates
Detection method refinement:
Increase sensitivity of detection methods
Extend reaction times for challenging substrates or conditions
Consider alternative assay formats if conventional methods yield poor results
Use positive controls (MiaA from E. coli or other well-characterized organisms)
A methodical approach to troubleshooting, with careful documentation of all variables changed and their effects on enzyme activity, will help identify the specific factors limiting activity in the experimental system. For cold-adapted enzymes, special attention to temperature-dependent activity profiles is particularly important.
Research on E. sibiricum MiaA provides valuable insights into tRNA modification mechanisms in extremophile organisms, contributing to several key areas:
Cold adaptation mechanisms of RNA-modifying enzymes:
Analysis of E. sibiricum MiaA can reveal structural and kinetic adaptations that permit enzyme activity at low temperatures
Comparison with mesophilic and thermophilic MiaA homologs helps identify specific amino acid substitutions or structural features that confer cold activity
These insights extend our understanding of how essential cellular processes like translation adapt to extreme conditions
Evolution of tRNA modification systems:
E. sibiricum MiaA research contributes to understanding the conservation and divergence of tRNA modification pathways across diverse bacterial lineages
Structural studies of DMATase indicate homology to a class of small soluble kinases involved in nucleotide precursor biosynthesis, suggesting evolutionary relationships that may be further explored
Comparative genomics approaches can reveal how tRNA modification systems adapted to different environmental niches
Structure-function relationships in tRNA-modifying enzymes:
The central channel architecture of DMATase, with separate entry points for tRNA and DMAPP substrates, represents a fascinating structural solution for bringing together two distinct substrates
Understanding how this architectural feature functions in E. sibiricum MiaA can provide insights into the catalytic mechanism and substrate specificity determinants
Translation efficiency in extremophiles:
tRNA modifications significantly impact translation efficiency and accuracy
Research on E. sibiricum MiaA helps explain how psychrotolerant organisms maintain efficient translation at low temperatures
These insights may have broader implications for understanding cellular adaptation to extreme environments
Current research methodologies combining structural biology, enzyme kinetics, and comparative genomics provide complementary approaches to understanding how E. sibiricum MiaA contributes to the organism's ability to thrive in cold environments.
Recombinant E. sibiricum MiaA offers several promising biotechnological applications leveraging its unique properties as an enzyme from a psychrotolerant organism:
Cold-active biocatalysis:
Development of cold-active enzymatic processes for industrial applications
Potential for energy savings in industrial biocatalysis by operating at lower temperatures
Application in temperature-sensitive reaction systems where elevated temperatures would be detrimental to substrate stability
Synthetic biology applications:
Engineering of tRNA modifications in heterologous systems to modulate translation efficiency
Development of orthogonal tRNA modification systems for site-specific incorporation of non-canonical amino acids
Creation of synthetic tRNA populations with enhanced function at low temperatures
Structural biology tools:
Use of the dimethylallyl modification as a site-specific probe for tRNA structure and function studies
Development of tRNA labeling strategies based on the enzymatic activity of MiaA
Application in cryo-EM studies where low-temperature stability of enzymes is advantageous
Therapeutic potential:
Exploration of tRNA modifications as antibiotic targets
Development of specific inhibitors of bacterial tRNA modification enzymes
Investigation of tRNA modification in pathogenic bacteria adapted to the human body temperature
Enzyme engineering platforms:
Using insights from E. sibiricum MiaA structure-function relationships to engineer enzymes with enhanced cold activity
Development of chimeric enzymes combining domains from psychrophilic and mesophilic homologs
Creation of biosensors based on conformational changes associated with substrate binding
The implementation of these applications requires detailed understanding of the enzyme's structure, function, and substrate specificities, areas where ongoing research on E. sibiricum MiaA continues to provide valuable insights.