Triosephosphate isomerase (TPI), also known as TIM, is a crucial enzyme involved in glycolysis and gluconeogenesis . It catalyzes the reversible interconversion of glyceraldehyde-3-phosphate (G3P) and dihydroxyacetone phosphate (DHAP) . The enzyme is highly efficient, accelerating the reaction by a factor of $$10^{9}$$ .
Methylococcus capsulatus is a thermotolerant methanotrophic bacterium . Methanotrophs are bacteria that can utilize methane as their sole carbon and energy source . Given its role in central metabolism, TPI is essential for the growth and survival of M. capsulatus. Recombinant TPI refers to the TPI enzyme that has been produced using recombinant DNA technology, where the gene encoding the TPI from M. capsulatus is cloned and expressed in a host organism, such as E. coli .
TPI is a dimeric enzyme, meaning it consists of two identical subunits . Each subunit folds into a conserved α/β-barrel structure, also known as a TIM barrel . This barrel structure is a common protein fold found in many enzymes and consists of eight α-helices and eight parallel β-strands that alternate along the peptide backbone . The active site of the enzyme is located within this barrel structure.
TPI catalyzes the interconversion of G3P and DHAP via an enediol intermediate. The reaction is essential for both glycolysis, the breakdown of glucose for energy production, and gluconeogenesis, the synthesis of glucose from non-carbohydrate precursors .
TPI exhibits Michaelis-Menten kinetics, and its activity can be characterized by parameters such as (Michaelis constant) and (maximum velocity) . These parameters reflect the enzyme's affinity for its substrate and its maximum catalytic rate.
| Parameter | Value | Substrate |
|---|---|---|
| 0.47 mM | Glyceraldehyde 3-phosphate | |
| 6031 μmol min⁻¹ mg⁻¹ protein | Glyceraldehyde 3-phosphate |
In M. capsulatus, TPI plays a vital role in the RuMP cycle, a pathway for formaldehyde fixation . M. capsulatus utilizes methane as its primary carbon source, and the oxidation of methane leads to the formation of formaldehyde, which is then assimilated via the RuMP cycle. TPI is essential for maintaining the balance of triose phosphates in this cycle, ensuring the efficient flow of carbon .
Recombinant TPI has several potential applications:
Structural studies: Recombinant TPI can be produced in large quantities and purified for structural analysis using X-ray crystallography or other biophysical techniques . This information can provide insights into the enzyme's mechanism and aid in the design of novel inhibitors.
Drug development: TPI has been explored as a target for drug development, particularly against parasitic diseases . Recombinant TPI can be used in drug screening assays to identify compounds that inhibit its activity.
Metabolic engineering: Recombinant TPI can be used to engineer metabolic pathways in various organisms . For example, it can be overexpressed to enhance the production of specific metabolites.
Biocatalysis: TPI can be used as a biocatalyst in various industrial applications . Its ability to interconvert G3P and DHAP can be harnessed for the production of valuable chemicals.
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Involved in gluconeogenesis. Catalyzes the stereospecific conversion of dihydroxyacetone phosphate (DHAP) to D-glyceraldehyde-3-phosphate (G3P).
KEGG: mca:MCA0674
STRING: 243233.MCA0674
Triosephosphate isomerase (TpiA) is a critical enzyme that catalyzes the reversible interconversion of dihydroxyacetone phosphate (DHAP) and D-glyceraldehyde 3-phosphate (GAP) in the glycolytic pathway and gluconeogenesis. In Methylococcus capsulatus, this enzyme plays an essential role in central carbon metabolism, particularly as this methanotrophic bacterium utilizes methane as its sole carbon and energy source.
While the equilibrium of the reaction typically favors DHAP formation by approximately 20:1 over the reverse reaction, the enzyme's activity is crucial for energy generation and biosynthetic processes . M. capsulatus, as a methanotroph, incorporates carbon from methane into central metabolic pathways where TpiA functions, making this enzyme particularly interesting for studying carbon flux in these specialized bacteria.
Triosephosphate isomerase typically adopts the classic (βα)8-barrel superfold (also called a TIM barrel), consisting of eight βα units with loops connecting them. This arrangement forms a cylinder of parallel β-strands (β-barrel) surrounded by a layer of parallel α-helices . While the specific crystal structure of M. capsulatus TpiA has not been fully characterized in the provided search results, structural comparisons can be drawn with the well-studied E. coli variant.
The enzyme generally functions as a dimer with a molecular mass of approximately 53 kDa (as determined by equilibrium centrifugation for the yeast variant) . Recent studies on the E. coli TpiA have revealed remarkable structural permissiveness, where the enzyme can tolerate insertions even in highly structured domains while maintaining catalytic activity . This structural robustness likely extends to the M. capsulatus variant, though species-specific differences in thermal stability and substrate affinity would be expected given the different ecological niches these organisms occupy.
Recent developments have significantly expanded the genetic toolkit available for M. capsulatus manipulation. Most notably, a CRISPR/Cas9 gene-editing system has been successfully adapted for use in M. capsulatus (Bath) . This system employs broad-host-range expression plasmids for conjugatable gene editing.
The system includes:
The pCas9 plasmid containing the Streptococcus pyogenes Cas9 endonuclease under the control of an inducible tetracycline promoter/operator (PtetA)
A compatible pgRNA plasmid expressing guide RNAs targeting desired sequences
RK2-based broad-host-range expression systems proven functional in M. capsulatus
For effective gene manipulation, researchers can use biparental mating with E. coli S17-1 cells on NMS mating agar, as described in previous protocols . The PtetA promoter has been shown to exhibit strong inducible activation in M. capsulatus, with approximately 10-fold increase in expression when induced with anhydrotetracycline (aTc) .
Designing effective guide RNAs (gRNAs) for tpiA editing in M. capsulatus requires careful consideration of several factors to maximize editing efficiency while minimizing off-target effects:
Target selection: When targeting tpiA, identify unique 20-nucleotide sequences within the gene that are followed by a PAM sequence (NGG for SpCas9) and have minimal homology to other regions of the M. capsulatus genome.
gRNA validation: Before attempting genome editing, computational prediction of gRNA efficiency should be performed, followed by in vitro validation of Cas9 cleavage efficiency using purified components.
The experimental workflow would follow the system developed for M. capsulatus:
Generate a plasmid containing Cas9 under PtetA control (similar to pCas9)
Create a separate plasmid expressing the tpiA-targeting gRNA (similar to pgRNA constructs)
Introduce the Cas9 plasmid first via conjugation and select transformants
Subsequently introduce the gRNA plasmid via conjugation with E. coli S17 harboring the pgRNA-tpiA construct
Perform selection on NMS agar containing appropriate antibiotics (spectinomycin for Cas9 plasmid, gentamicin for gRNA plasmid) and aTc inducer
Confirming successful tpiA editing in M. capsulatus requires a multi-faceted approach combining molecular, biochemical, and phenotypic analyses:
Molecular confirmation:
PCR amplification of the targeted region followed by sequencing to verify the intended modifications
Restriction digest analysis if the edit introduces or removes restriction sites
For insertions or deletions, gel electrophoresis can provide initial confirmation through size differences
Transcript analysis:
RT-PCR to detect changes in tpiA mRNA expression levels
RNA-Seq for broader transcriptomic impacts of tpiA modification
Protein analysis:
Western blotting with anti-TpiA antibodies to confirm protein expression changes
Mass spectrometry to verify protein sequence alterations in purified recombinant TpiA
Enzymatic activity assays:
Growth phenotyping:
Comparative growth analysis of wild-type and tpiA-edited strains on different carbon sources
Measurement of methane consumption rates to assess metabolic impacts
Successful editing would typically be confirmed through sequencing first, followed by enzymatic assays to confirm functional changes, and finally growth studies to understand the physiological impact.
Generating and validating structural models of M. capsulatus TpiA involves several complementary approaches:
Homology modeling:
Identify suitable template structures (E. coli TpiA would be an excellent candidate)
Use modeling software like SWISS-MODEL, Phyre2, or I-TASSER to generate initial models
AlphaFold2 has demonstrated remarkable accuracy for protein structure prediction and would be particularly valuable for modeling M. capsulatus TpiA
Validation and refinement:
Computational validation using tools like MolProbity, PROCHECK, or VERIFY3D to assess model quality
Molecular dynamics simulations to evaluate stability and dynamic properties
Energy minimization to optimize the structural model
Experimental validation:
Express and purify recombinant M. capsulatus TpiA using the established gene expression systems
Conduct circular dichroism (CD) spectroscopy to assess secondary structure elements
Perform thermal shift assays to determine protein stability
If possible, obtain crystal structure or cryo-EM structure for definitive validation
AlphaFold2 has been shown to accurately predict structural adaptations, even in mutant proteins with insertions, suggesting it would be particularly valuable for modeling TpiA variants. In a recent study on E. coli TpiA, AlphaFold2 successfully modeled how insertions reconstructed the local architecture of nearby amino acid sequences .
| Validation Parameter | Method | Expected Results for Valid Model |
|---|---|---|
| Ramachandran plot statistics | PROCHECK | >90% residues in favored regions |
| Global QMEAN score | SWISS-MODEL | >0.6 indicates good quality |
| Root-mean-square deviation (RMSD) | Comparison with homologous structures | <2Å for conserved core regions |
| Secondary structure prediction | DSSP, STRIDE | Consistent with expected TIM barrel fold |
| Active site geometry | Visual inspection, ProSA | Conserved catalytic residues in correct orientation |
Producing recombinant M. capsulatus TpiA requires careful optimization of expression systems and purification protocols:
Expression systems:
Homologous expression: Using the established CRISPR/Cas9 system for M. capsulatus , the native tpiA gene can be modified to include affinity tags and expressed under control of inducible promoters like PtetA, which has shown approximately 10-fold induction in M. capsulatus with anhydrotetracycline (aTc) .
Heterologous expression in E. coli: Common E. coli expression systems (pET, pBAD) with codon optimization for the M. capsulatus tpiA gene. Expression in E. coli BL21(DE3) or similar strains at reduced temperatures (16-25°C) often improves solubility of methanotrophic proteins.
Purification strategies:
Affinity chromatography: His-tagged TpiA purification using Ni-NTA columns, with optimization of imidazole concentration in washing and elution buffers
Size exclusion chromatography: For further purification and to confirm the dimeric state of the enzyme
Ion exchange chromatography: As a polishing step or alternative first purification step
Activity preservation:
Include stabilizing agents (glycerol 5-10%, reducing agents like DTT)
Optimize buffer conditions (pH 7.0-8.0, physiological salt concentration)
Test thermal stability to determine appropriate storage conditions
| Purification Step | Column/Method | Buffer Composition | Expected Purity/Yield |
|---|---|---|---|
| Crude extraction | Sonication/Cell disruption | 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM DTT, 5% glycerol, protease inhibitors | Total soluble protein |
| IMAC (His-tag) | Ni-NTA | Loading: as above; Washing: add 20-50 mM imidazole; Elution: add 250 mM imidazole | 70-80% purity |
| Size exclusion | Superdex 200 | 25 mM Tris-HCl pH 7.5, 100 mM NaCl, 1 mM DTT, 5% glycerol | 90-95% purity |
| Ion exchange | Q-Sepharose | 20 mM Tris-HCl pH 8.0 with gradient to 1 M NaCl | >95% purity |
The activity of purified TpiA should be verified using the spectrophotometric assay described previously , with appropriate controls to ensure specificity.
Assessing the impact of specific mutations on M. capsulatus TpiA requires a comprehensive approach combining computational predictions, in vitro analyses, and in vivo functional studies:
Computational analysis:
Use AlphaFold2 to predict structural changes caused by mutations, as it has demonstrated effectiveness in modeling protein structural adaptations
Molecular dynamics simulations to assess stability changes and potential alterations in substrate binding
Evolutionary conservation analysis to determine if mutations affect conserved residues
Active site proximity analysis to predict functional impacts
In vitro characterization:
Express and purify wild-type and mutant variants using the methods described above
Determine kinetic parameters (Km, kcat, kcat/Km) for both the forward and reverse reactions
Assess thermal stability through differential scanning fluorimetry or circular dichroism
Structural studies through X-ray crystallography or hydrogen-deuterium exchange mass spectrometry
In vivo functional analysis:
Generate M. capsulatus strains expressing mutant TpiA variants using the CRISPR/Cas9 system
Perform complementation studies in TpiA-deficient strains
Measure growth rates under different conditions (varying carbon sources, temperatures)
Metabolomic analysis to determine effects on central carbon metabolism
Interestingly, studies on E. coli TpiA have revealed remarkable structural permissiveness, where even insertions in highly structured domains maintained enzymatic activity . This suggests that M. capsulatus TpiA might also tolerate significant structural perturbations while maintaining function, but this requires experimental verification.
Heterologous expression of M. capsulatus TpiA in E. coli can face several challenges due to differences in codon usage, protein folding environments, and potential toxicity. Here are effective approaches to overcome these issues:
Codon optimization and expression vector design:
Optimize the M. capsulatus tpiA gene sequence for E. coli codon usage
Use low-copy number vectors for initial expression attempts to minimize potential toxicity
Test multiple promoter systems (T7, tac, arabinose-inducible) with varying induction strengths
Include solubility-enhancing fusion partners (MBP, SUMO, TrxA) with appropriate protease cleavage sites
Expression condition optimization:
Reduce induction temperature to 16-25°C to slow protein synthesis and improve folding
Test various E. coli expression strains (BL21(DE3), C41/C43, Arctic Express) specialized for difficult proteins
Optimize induction parameters (inducer concentration, OD at induction, duration)
Co-express with molecular chaperones (GroEL/GroES, DnaK/DnaJ/GrpE) to assist folding
Solubility enhancement strategies:
Include osmolytes or stabilizing agents in lysis buffers (glycerol, sorbitol, arginine)
Test detergents for membrane-associated fractions (if applicable)
Consider on-column refolding protocols if inclusion bodies form
Activity verification:
Develop robust activity assays adaptable to crude cell lysates
Include appropriate controls to distinguish TpiA activity from endogenous E. coli TpiA
It's important to note that E. coli TpiA has been extensively studied and shown to be structurally permissive , suggesting that heterologous expression systems might be successfully developed by leveraging this knowledge. If expression in E. coli proves challenging, alternative hosts like Pseudomonas or other methanotrophs could be considered.
Recombinant M. capsulatus TpiA provides an excellent model system for studying enzyme evolution and structural adaptation for several reasons:
Evolutionary context:
As a methanotroph, M. capsulatus occupies a specialized ecological niche, potentially driving unique adaptations in central metabolic enzymes like TpiA
Comparative analysis with TpiA variants from diverse organisms can reveal evolutionary patterns and adaptive changes
Studies on E. coli TpiA have revealed remarkable structural permissiveness , providing a benchmark for comparison
Experimental approaches:
Ancestral sequence reconstruction: Infer and synthesize ancestral TpiA sequences to track evolutionary trajectories
Directed evolution: Generate TpiA variant libraries and select for altered properties (stability, activity, substrate specificity)
Insertion scanning: Apply the 5-amino acid linker scanning method used for E. coli TpiA to map structural permissiveness in the M. capsulatus enzyme
Domain swapping: Exchange structural elements between TpiA variants from different organisms to identify functionally important regions
Structural adaptation studies:
The recent findings that E. coli TpiA can maintain activity despite insertions in highly structured domains challenges the traditional view of protein structural constraints and offers an exciting framework for similar studies in M. capsulatus TpiA. Such comparative analysis could reveal whether this structural resilience is a conserved feature or varies across evolutionary lineages.
The relationship between TpiA activity and methanotrophic metabolism in M. capsulatus represents a critical intersection of central carbon processing and specialized methane utilization:
Metabolic context:
M. capsulatus, as a methanotroph, uses methane as its sole carbon and energy source
Methane is oxidized to formaldehyde, which enters central metabolism through either the ribulose monophosphate (RuMP) pathway or the serine pathway
TpiA plays a crucial role in these central carbon processing pathways by interconverting GAP and DHAP
Metabolic flux considerations:
TpiA activity influences the distribution of carbon between glycolysis and gluconeogenesis
In methanotrophs, this enzyme may have adapted to accommodate the unique carbon flux patterns associated with C1 metabolism
The equilibrium of the TpiA reaction (favoring DHAP formation by approximately 20:1) may have metabolic implications specific to methanotrophic growth
Research approaches:
Metabolic flux analysis: Use 13C-labeled methane to trace carbon flow through central metabolism in wild-type and TpiA-modified strains
Enzyme kinetics: Compare kinetic parameters of M. capsulatus TpiA with those from non-methanotrophic organisms to identify adaptations
Systems biology: Integrate transcriptomic, proteomic, and metabolomic data to understand TpiA's role in the broader metabolic network
Practical implications:
Understanding this relationship could inform metabolic engineering efforts for enhanced methane bioconversion
Could reveal potential regulatory mechanisms linking central carbon metabolism to methane oxidation
The genetic tools now available for M. capsulatus, particularly the CRISPR/Cas9 system , enable targeted studies of TpiA's role in methanotrophic metabolism through the generation of specific mutations or controlled expression variants.
Ensuring the quality and consistency of recombinant M. capsulatus TpiA requires rigorous quality control measures throughout the experimental workflow:
Genetic construct verification:
Expression and purification quality control:
SDS-PAGE analysis with Coomassie staining to assess purity and molecular weight
Western blotting with TpiA-specific antibodies to confirm identity
Mass spectrometry analysis (MALDI-TOF or LC-MS/MS) for precise molecular weight determination and sequence coverage
Functional validation:
Enzymatic activity assays comparing purified recombinant TpiA with established standards
Kinetic parameter determination (Km, kcat) for both the forward and reverse reactions
Thermal stability assessment through differential scanning fluorimetry
Structural integrity:
Storage stability assessment:
Activity retention testing at different storage conditions (temperature, buffer composition)
Freeze-thaw stability testing if frozen storage is utilized
Long-term stability monitoring for commercial or repeated-use preparations
| Quality Control Parameter | Method | Acceptance Criteria |
|---|---|---|
| Purity | SDS-PAGE | >95% single band |
| Identity | Western blot, Mass spectrometry | Positive identification, correct mass |
| Activity | Spectrophotometric assay | ≥80% of theoretical activity |
| Oligomeric state | Size exclusion chromatography | Predominantly dimeric |
| Thermal stability | Differential scanning fluorimetry | Tm within ±2°C of reference value |
| Endotoxin (if for biological studies) | LAL assay | <0.5 EU/mg protein |