Recombinant Rhodopirellula baltica Dihydrodipicolinate reductase (dapB)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchasing method and location. Please consult your local distributor for precise delivery estimates.
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, which can be used as a reference.
Shelf Life
Shelf life depends on various factors, including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. Please specify your desired tag type for preferential development.
Synonyms
dapB; RB11959; 4-hydroxy-tetrahydrodipicolinate reductase; HTPA reductase; EC 1.17.1.8
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-280
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Rhodopirellula baltica (strain DSM 10527 / NCIMB 13988 / SH1)
Target Names
dapB
Target Protein Sequence
MADSTGPISL TVHGAAGRMG RRVVALGLAD PNFQLVGAID HAKSDHLGQD SGAVAGEAPS GIEISSHWPV LDDAATNQAV IDFSLPEAID GCVEHCVKVG SPLVVATTGL SDEQKQNLSE AAASIPVVWA PSMSLAVNLS MKIAEQITAA LKDVAGGLDV EILERHHRFK ADAPSGTALK FGELIAGQLG ESTSHVHGRE GHTGARTREE IGYHAIRVGD NPGEHTIVFG MLGEKIELNV AASNRDCYAS GALAAAKWLI HQKKGPGLYS MFDVLGMSDN
Uniprot No.

Target Background

Function

Function: Catalyzes the conversion of 4-hydroxy-tetrahydrodipicolinate (HTPA) to tetrahydrodipicolinate.

Database Links

KEGG: rba:RB11959

STRING: 243090.RB11959

Protein Families
DapB family
Subcellular Location
Cytoplasm.

Q&A

What is the role of dihydrodipicolinate reductase (DapB) in Rhodopirellula baltica metabolism?

DapB catalyzes the second step in the lysine biosynthetic pathway, specifically the NADPH-dependent reduction of dihydrodipicolinate to tetrahydrodipicolinate. In R. baltica, this enzyme appears to be essential for growth, as observed in similar organisms where knockout mutations of dapB are lethal . The enzyme plays a critical role in the organism's life cycle by supporting protein synthesis and cell wall formation, particularly during transitions between different morphotypes (swarmer cells to sessile cells) .

How does the gene expression of dapB in R. baltica change throughout its life cycle?

Gene expression studies show that R. baltica undergoes significant transcriptional changes throughout its growth phases. While specific dapB expression patterns weren't directly mentioned in the available data, genes involved in amino acid metabolism show differential regulation across growth phases . During the transition from exponential to stationary phase, R. baltica upregulates genes involved in cell wall modification and stress responses, suggesting that dapB expression may be coordinated with these changes to support cell wall synthesis as the organism shifts from free-swimming cells to sessile rosette formations .

What is the optimal expression system for producing recombinant R. baltica DapB?

Based on methodologies used for similar proteins, an E. coli expression system using the pET28a vector provides an effective approach for recombinant R. baltica DapB production . The protocol involves:

  • Amplifying the R. baltica dapB gene using primers containing appropriate restriction sites (NdeI and XhoI)

  • Cloning the PCR product into the pET28a expression vector

  • Transforming E. coli BL21(λDE3) cells with the recombinant plasmid

  • Inducing protein expression with 0.5 mM IPTG at 37°C for 3 hours

  • Harvesting cells by centrifugation at 6,000 rpm for 10 minutes at 4°C

Temperature optimization may be necessary, as some recombinant proteins express better at lower temperatures (18-25°C) to enhance proper folding.

What purification strategy yields the highest purity and activity for recombinant R. baltica DapB?

A multi-step purification approach is recommended:

  • Initial purification with Ni-NTA affinity chromatography: Using the His-tag engineered into the recombinant protein, purify with a linear imidazole gradient (20-250 mM)

  • Intermediate purification with ion-exchange chromatography: Apply the protein to a Q-Sepharose column with a NaCl gradient

  • Final polishing with size-exclusion chromatography: Use a Superdex 200 column to obtain homogeneous tetrameric protein

This strategy typically yields protein with >95% purity, suitable for enzymatic assays and structural studies . Storage at -80°C in a buffer containing 50 mM Tris-HCl (pH 8.0), 150 mM NaCl, 10% glycerol, and 1 mM DTT preserves enzyme activity.

How can I develop a reliable activity assay for R. baltica DapB?

A spectrophotometric assay monitoring NADPH oxidation provides a reliable measurement of DapB activity:

Reaction components:

ComponentConcentration
Purified DapB0.1-1 μg
Substrate (dihydrodipicolinate)0.2-2.0 mM
NADPH0.2 mM
Buffer (Tris-HCl, pH 8.0)50 mM
Total volume100 μl

Monitor the decrease in absorbance at 340 nm (NADPH oxidation) over time at 25°C. Calculate enzyme activity using the extinction coefficient of NADPH (ε₃₄₀ = 6,220 M⁻¹cm⁻¹).

For more complete kinetic analysis, vary substrate concentrations to determine Km and Vmax values . Consider coupling the reaction with purified DapA to generate the substrate in situ, as synthetic dihydrodipicolinate is not commercially available.

How do the regulatory mechanisms of dapB in R. baltica compare to those in other bacteria?

R. baltica employs distinctive regulatory strategies compared to other bacteria with large genomes. While most bacteria show an increase in the proportion of transcriptional regulators with genome size, R. baltica deviates from this trend with only 2.4% of its genes encoding transcriptional regulators . Instead, it relies heavily on two-component systems (66 identified) and sigma factors (49 identified), with 76% of the latter belonging to the extra-cytoplasmic function subfamily of sigma-70 .

This suggests that dapB regulation in R. baltica may be predominantly controlled through environmental sensing mechanisms rather than traditional transcriptional regulation. The regulation might be particularly sensitive to changes in marine conditions, nutrient availability, or cell cycle stage, reflecting the organism's adaptation to its aquatic environment .

What strategies can overcome inclusion body formation when expressing recombinant R. baltica DapB?

When recombinant R. baltica DapB forms inclusion bodies, consider implementing these strategies:

  • Optimize induction conditions: Lower the IPTG concentration (0.1-0.2 mM) and reduce the induction temperature (16-20°C) for extended periods (12-18 hours)

  • Modify expression constructs:

    • Create fusion proteins with solubility-enhancing tags (MBP, SUMO, Thioredoxin)

    • Design truncated versions based on domain prediction

    • Codon-optimize the gene for E. coli expression

  • Adjust culture conditions:

    • Add osmolytes (sorbitol, betaine) to the culture medium

    • Co-express molecular chaperones (GroEL/GroES, DnaK/DnaJ)

    • Apply mild stress conditions to induce host chaperones

  • Refolding protocol if inclusion bodies persist:

    StepProcedure
    1Isolate inclusion bodies with detergent washes (1% Triton X-100)
    2Solubilize in 8M urea or 6M guanidine-HCl
    3Refold by rapid dilution or dialysis against decreasing denaturant gradient
    4Add cofactors (NADPH) during refolding to enhance proper structure formation

Monitor refolding success through enzyme activity assays rather than solely relying on protein solubility .

How might the unusual cell compartmentalization in R. baltica influence DapB localization and function?

Planctomycetes like R. baltica exhibit an intriguing intracellular compartmentalization that differs from typical bacterial cell organization . This compartmentalization may affect:

  • Substrate channeling and enzyme localization: DapB might be strategically positioned within specific cellular compartments to enhance pathway efficiency through proximity to other lysine biosynthesis enzymes

  • Regulatory mechanisms: Compartmentalization could create microenvironments with different pH, ion concentrations, or redox states that affect DapB activity

  • Protein-protein interactions: The compartmentalized structure may facilitate unique interactions between DapB and other proteins not observed in traditional bacterial systems

Investigation methods should include:

  • Immunogold electron microscopy to visualize DapB localization

  • Fractionation of R. baltica cellular compartments followed by Western blotting

  • In vivo fluorescence tagging to track DapB movement during life cycle transitions

How should I interpret unexpected kinetic parameters of recombinant R. baltica DapB compared to homologs from other organisms?

When kinetic parameters of R. baltica DapB differ significantly from those of homologous enzymes, consider these systematic approaches:

  • Verify enzyme integrity:

    • Confirm the correct sequence through mass spectrometry

    • Analyze oligomeric state using size exclusion chromatography

    • Check for post-translational modifications that may be absent in recombinant systems

  • Environmental adaptations:

    • Marine organisms like R. baltica often evolve enzymes with different salt dependencies and temperature optima

    • Test activity across broader ranges of salt concentrations (0-500 mM NaCl)

    • Vary pH conditions (pH 6.0-9.0) to identify potential shifts in optima

  • Comparative analysis:

    • Create a data table comparing kinetic parameters across related species

    • Look for correlations between parameters and environmental niches

    • Consider the evolutionary distance of R. baltica from model organisms

Unexpected parameters may reveal important adaptations to R. baltica's unique marine environment and cellular organization rather than experimental artifacts .

What strategies can help troubleshoot inconsistent results in R. baltica DapB activity assays?

When facing inconsistent activity measurements, implement a systematic troubleshooting approach:

  • Enzyme stability assessment:

    • Verify protein stability using thermal shift assays

    • Test different storage buffers and conditions

    • Analyze protein samples by native PAGE after storage

  • Reagent quality control:

    ComponentQuality Check
    NADPHMeasure A340/A260 ratio (should be >1.8)
    SubstrateVerify purity by HPLC
    Buffer componentsUse fresh preparations, check pH
  • Assay optimization:

    • Ensure reaction components are protected from light

    • Control temperature precisely (±0.5°C)

    • Determine the linear range of the assay for both time and enzyme concentration

    • Include appropriate controls for non-enzymatic NADPH oxidation

  • Consider coupled enzyme systems:

    • When using DapA to generate substrate in situ, ensure DapA is not rate-limiting

    • Verify the stability of intermediate metabolites under assay conditions

How can I address data that contradicts my hypothesis regarding R. baltica DapB function or regulation?

When experimental results contradict your hypothesis:

  • Examine data quality rigorously:

    • Look for outliers that may influence results

    • Compare findings with existing literature

    • Consider whether the contradiction occurs in one experiment or across multiple approaches

  • Reevaluate assumptions:

    • Review initial assumptions about DapB function in R. baltica

    • Consider R. baltica's unique biology compared to model organisms

    • Reassess the validity of extrapolating knowledge from distantly related bacterial species

  • Refine experimental design:

    • Implement additional controls to rule out technical artifacts

    • Modify variables to test alternative hypotheses

    • Consider whether the unique cellular organization of R. baltica affects your experimental approach

  • Embrace the contradiction:

    • Significant contradictions often lead to important discoveries

    • Document unexpected findings thoroughly

    • Develop new hypotheses based on contradictory results

How can recombinant R. baltica DapB be utilized for structural biology studies?

For successful structural characterization:

The structural data would provide insights into potential marine-specific adaptations of R. baltica DapB compared to terrestrial bacterial homologs .

What comparative genomic approaches could reveal insights about evolutionary adaptations of R. baltica DapB?

To investigate evolutionary adaptations:

  • Sequence-based analysis:

    • Construct multiple sequence alignments with DapB sequences across diverse bacterial phyla

    • Identify conserved catalytic residues versus variable regions

    • Calculate selection pressures (dN/dS ratios) to identify positively selected sites

  • Structure-function correlation:

    • Map sequence variations onto structural models

    • Identify R. baltica-specific insertions or deletions

    • Analyze surface properties (electrostatics, hydrophobicity) for marine adaptations

  • Genomic context analysis:

    • Compare the organization of lysine biosynthesis genes across species

    • Identify potential regulatory elements specific to Planctomycetes

    • Correlate with R. baltica's unique transcriptional regulatory landscape

This approach could reveal how R. baltica's DapB adapted to the organism's marine environment, unusual cell biology, and distinctive regulatory mechanisms .

How might R. baltica's unique sigma factor abundance influence dapB expression throughout its complex life cycle?

R. baltica contains an unusually high number of sigma factors (49), with 76% belonging to the extra-cytoplasmic function (ECF) subfamily of sigma-70 . This suggests:

  • Life cycle-specific regulation:

    • Different sigma factors may control dapB expression during distinct morphological transitions

    • Expression patterns may correlate with shifts between swarmer cells, sessile cells, and rosette formations

  • Environmental response integration:

    • The abundance of ECF sigma factors indicates sophisticated sensing of environmental conditions

    • DapB expression might be coordinated with responses to nutrient limitation, salt stress, or other marine-specific factors

  • Experimental approaches:

    Investigation MethodApplication
    RNA-seq across life cycle stagesIdentify co-expression patterns with specific sigma factors
    Chromatin immunoprecipitationDetermine which sigma factors bind the dapB promoter
    Reporter gene assaysTest promoter activity under different conditions

This research direction could reveal how R. baltica's unique regulatory architecture coordinates metabolic enzyme expression with its complex life cycle and environmental adaptations .

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