Recombinant Vibrio vulnificus Chromosome partition protein MukB (mukB), partial

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Product Specs

Form
Lyophilized powder Note: While we prioritize shipping the format currently in stock, please specify your format preference in order notes for customized preparation.
Lead Time
Delivery times vary depending on the purchase method and location. Please contact your local distributor for precise delivery estimates. Note: All proteins are shipped with standard blue ice packs unless dry ice is specifically requested in advance. Additional fees apply for dry ice shipping.
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 consolidate 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%, provided as a guideline for your reference.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer components, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during the manufacturing process. The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
mukB; VV2298; Chromosome partition protein MukB; Structural maintenance of chromosome-related protein
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Protein Length
Partial
Purity
>85% (SDS-PAGE)
Species
Vibrio vulnificus (strain YJ016)
Target Names
mukB
Uniprot No.

Target Background

Function

MukB plays a crucial role in chromosome condensation, segregation, and cell cycle progression. It functions as an essential homodimer for chromosome partitioning. MukB is involved in negative DNA supercoiling in vivo, thereby organizing and compacting chromosomes. It may facilitate chromosome segregation by condensing DNA from both sides of a centrally located replisome during cell division.

Database Links

KEGG: vvy:VV2298

Protein Families
SMC family, MukB subfamily
Subcellular Location
Cytoplasm, nucleoid.

Q&A

What is the role of MukB in Vibrio vulnificus pathogenesis?

MukB is a chromosome partition protein that plays a critical role in the rapid proliferation of V. vulnificus specifically in the systemic circulation but not at the local infection site. Research has demonstrated that MukB mutation (mukB::Tn) significantly reduces bacterial burden in the spleen compared to wild-type strains during infection, suggesting it is essential for proliferation in systemic environments . The protein appears to be particularly important for bacterial survival and proliferation after the pathogen has entered the bloodstream, making it a potential therapeutic target for V. vulnificus septicemia .

How does MukB structure compare between V. vulnificus and E. coli?

Amino acid sequence alignment reveals that MukB in V. vulnificus CMCP6 (1487 amino acids) shares 75% similarity with MukB in E. coli K12 (1486 amino acids) across 98% coverage . Most importantly, the functional domains critical for ATP binding and hydrolysis - including the Walker A motif, C motif, Walker B motif, and D loop - are completely conserved between these species . This high conservation suggests similar mechanistic functions in chromosome management across these bacterial species, though V. vulnificus-specific features may exist that contribute to its unique virulence characteristics.

What experimental models are suitable for studying MukB function in V. vulnificus?

Mouse wound infection models have proven most effective for studying MukB function in V. vulnificus. Research shows that subcutaneous inoculation into mouse thigh tissue, followed by bacterial burden assessment in specific tissues (spleen, muscle at infection site) at defined timepoints post-infection (6h, 12h), provides reliable data on MukB's role in systemic proliferation . For competitive assays, intravenous injection of mixed inocula containing equal CFU counts of wild-type and mukB mutant strains, followed by calculation of competitive indices after 6h, can quantify the proliferation disadvantage conferred by MukB mutation .

What are the challenges in creating complete deletion mutants of mukB in V. vulnificus, and how can they be addressed?

Creating complete deletion mutants of mukB in V. vulnificus presents significant challenges, as evidenced by unsuccessful attempts to construct in-frame deletion mutants . This suggests that MukB is likely essential for bacterial survival even in laboratory conditions. Researchers should consider the following approaches:

  • Conditional mutagenesis: Employ inducible promoter systems to control mukB expression

  • Partial deletions: Target specific domains rather than complete gene deletion

  • Complementation analysis: Use plasmid-based expression systems to restore function

For example, in published research, complementation of the mukB::Tn mutant was successfully achieved using the full-length mukB gene carried by pACYC plasmid, with the gene amplified using specific primers (pACYC BamHI mukB Fw and pACYC XhoI mukB Rev) and ligated to BamHI and XhoI restriction sites .

How can signature-tagged mutagenesis (STM) be optimized for identifying virulence factors in V. vulnificus wound infection models?

STM has been successfully applied to identify virulence genes in V. vulnificus despite previous concerns about its suitability. The following methodology has proven effective:

  • Creation of transposon insertion library: Generate diverse libraries (>5000 independent mutants) to ensure genome coverage

  • Wound infection model application: Use subcutaneous inoculation rather than intestinal models

  • Targeted tissue analysis: Focus on spleen samples for systemic circulation assessment

  • Competitive index calculation: Compare mutant to wild-type ratios before and after infection

Research has demonstrated that this approach successfully identified 71 attenuated mutants from 5418 independent transposon insertion mutants examined, including two distinct mukB::Tn mutants with insertions at different positions within the mukB open reading frame .

What explains the differential growth patterns of mukB mutants in vitro versus in vivo?

The apparent contradiction between mukB mutants' normal growth in vitro (Figure 1) and their attenuated growth in vivo presents an intriguing research question. The following factors likely contribute to this differential behavior:

ConditionWT GrowthmukB::Tn GrowthPossible Mechanism
In vitro (37°C LB broth)NormalNormalStandard laboratory conditions do not trigger MukB-dependent processes
Local infection siteNormalNormalEnvironmental conditions at wound site permit MukB-independent proliferation
Systemic circulationRapidSignificantly reduced (~1528× lower)Host factors in bloodstream require MukB-dependent adaptation

Research suggests temperature fluctuations in systemic circulation (rising to ~40°C during inflammation, dropping to ~30°C as sepsis progresses) may be one critical factor, as MukB's conformational changes between open and closed states are temperature-dependent . Additionally, immune responses specific to the systemic environment may interact differently with mukB mutants compared to wild-type strains .

How can the survival time differences between mice infected with wild-type versus mukB mutant strains be quantitatively analyzed?

When analyzing survival time differences between experimental groups, researchers should employ both statistical and biological approaches:

  • Statistical analysis: Use Kaplan-Meier survival curves with log-rank tests to determine significance of survival differences (p < 0.05)

  • Median survival time calculation: Document precise values (e.g., 13.7h for WT, 18.3h for mukB::Tn)

  • Bacterial burden correlation: Link survival times to bacterial counts in systemic tissues (spleen)

Research data shows that while the median survival time of mice inoculated with mukB::Tn (18.3h) was significantly longer than those infected with WT (13.7h) or complemented mutant (14.3h), all groups eventually reached 100% mortality . This suggests MukB affects the rate of disease progression rather than ultimate outcome, possibly providing a window for therapeutic intervention.

How can structural insights into MukB conformational changes inform drug development strategies?

Understanding the structural dynamics of MukB offers promising avenues for targeted drug development:

  • ATP binding pocket targeting: The completely conserved Walker A motif, C motif, Walker B motif, and D loop regions provide potential binding sites for small molecule inhibitors

  • Conformational transition disruption: Compounds that stabilize either the open or closed state could prevent the normal function cycle

  • MukB-MukEF interaction inhibition: Disrupting the protein-protein interactions within the SMC complex could impair chromosome segregation

Research has shown that C-terminal truncations of MukB (as seen in mukB::Tn mutants with expression limited to amino acids 1-918 or 1-1269) retain the Walker A motif and hinge domain but lack the C motif, Walker B motif, and D loop . These truncated proteins cannot undergo the conformational change from open to closed state required for function, suggesting that targeting this transition mechanism could be an effective therapeutic strategy.

What methodological approaches can link MukB function to immune response modulation during V. vulnificus infection?

To investigate potential connections between MukB function and host immune responses:

  • Cytokine profiling: Compare cytokine levels in blood and tissues of mice infected with WT versus mukB::Tn

  • Immune cell interaction studies: Examine differential interactions of WT and mukB::Tn with macrophages, neutrophils, and lymphocytes

  • Apoptosis assessment: Quantify apoptosis of immune cells during infection progression

Current research suggests that immune suppression occurs in late-stage sepsis, potentially allowing mukB::Tn to proliferate despite initial control by host defenses . Previous studies have documented apoptosis of lymphocytes and macrophages during V. vulnificus infection, with lymphocyte depletion in peripheral blood primarily associated with bacterial growth in vivo .

How can researchers address reproducibility issues in temperature sensitivity experiments with mukB mutants?

Temperature sensitivity experiments with mukB mutants have faced reproducibility challenges. To improve experimental reliability:

  • Standardize culture conditions: Use precise temperature control systems with continuous monitoring

  • Implement robust statistical analysis: Perform multiple biological and technical replicates (minimum n=6)

  • Consider growth phase effects: Test temperature sensitivity at different bacterial growth phases

  • Use complemented strains as controls: Include mukB::Tn/pmukB alongside WT and mukB::Tn

Recent research attempted to compare temperature sensitivity of mukB::Tn with WT and mukB::Tn/pmukB at 25°C, 37°C, and 41°C but noted that "the data lack reproducibility" . This suggests unknown variables may influence temperature-dependent phenotypes and warrants careful experimental design with additional controls.

What are effective strategies for analyzing in vivo bioluminescent imaging data when comparing mukB mutants with wild-type strains?

In vivo imaging system (IVIS) analysis requires careful methodological considerations:

  • Standardize signal quantification: Establish consistent regions of interest (ROIs) for all animals

  • Control for background signal: Include appropriate negative controls (e.g., non-luminescent bacterial strains)

  • Time course analysis: Collect data at multiple timepoints (e.g., 3h, 6h, 9h, 12h post-infection)

  • Include controls for bacterial detection limits: Use non-encapsulated strains (e.g., E4) known to be eliminated in vivo

Research showed that bioluminescent signals from WT, mukB::Tn, and mukB::Tn/pmukB peaked at 6-9h post-inoculation and gradually weakened by 12h, while signals from non-encapsulated E4 strain disappeared entirely by 3h post-inoculation . This temporal pattern provides important context for interpreting bacterial proliferation dynamics in vivo.

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