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This protein catalyzes the highly specific dephosphorylation of 2'-deoxyribonucleoside 5'-monophosphates.
KEGG: vvy:VV1113
UPF0207 protein VV1113 belongs to a family of proteins with unknown function (UPF) found in Vibrio vulnificus. It is typically identified through whole genome sequencing (WGS) and subsequent bioinformatic analysis. Similar to how researchers identified genes in V. vulnificus VV2018, genome annotation tools can identify coding sequences (CDSs) and categorize them according to functional classifications . Comprehensive genomic analysis reveals that UPF0207 family proteins are commonly identified during annotation but lack experimentally verified functions. The identification process typically involves:
Whole genome sequencing of V. vulnificus isolates
Annotation of coding sequences using tools like RAST, PROKKA, or NCBI Prokaryotic Genome Annotation Pipeline
Classification of proteins based on homology to known protein families
Designation of unknown function proteins into UPF categories based on conserved domains
Based on comparative genomic approaches similar to those used for other V. vulnificus proteins, VV1113 likely possesses characteristic structural features that can guide functional studies. Bioinformatic analysis would predict:
| Structural Feature | Prediction Method | Expected Characteristics |
|---|---|---|
| Secondary structure | PSIPRED, JPRED | α-helices, β-sheets distribution |
| Transmembrane domains | TMHMM, Phobius | Potential membrane localization |
| Signal peptides | SignalP | Cellular localization signals |
| Conserved domains | Pfam, InterPro | Functional domain identification |
| 3D structure | AlphaFold, I-TASSER | Structural homology to characterized proteins |
Structural predictions serve as the foundation for designing targeted experiments, similar to the approach used when characterizing virulence factors in V. vulnificus . The presence of specific structural motifs might suggest potential interactions with other cellular components or involvement in particular biochemical pathways.
Producing recombinant VV1113 follows methodologies similar to those used for other bacterial proteins. Drawing from techniques used in V. vulnificus elastase studies , the typical workflow involves:
PCR amplification of the VV1113 gene from V. vulnificus genomic DNA
Cloning into an appropriate expression vector (e.g., pET series for E. coli)
Transformation into a suitable expression host (commonly E. coli BL21(DE3))
Optimization of expression conditions (temperature, induction time, inducer concentration)
Protein purification via affinity chromatography (if tagged) or conventional chromatographic methods
Verification of purity by SDS-PAGE and confirmation of identity by mass spectrometry
Researchers should optimize buffer conditions based on predicted protein properties to maintain stability and solubility throughout the purification process.
Creating precise gene knockouts allows for phenotypic evaluation to determine protein function. Based on successful approaches used for other V. vulnificus genes, such as vvpE , the following methods are recommended:
Allelic exchange using suicide vectors (e.g., pNQ705) carrying truncated VV1113 fragments
CRISPR-Cas9 based genome editing, which offers greater precision
Transposon mutagenesis for large-scale screening, followed by specific targeting of VV1113
The methodology described for constructing vvpE knockout mutants provides an excellent template: "The desired transconjugants were selected by chloramphenicol resistance and screened for [specific phenotype]... Potential mutants were subsequently tested for lack of [specific] activity." This approach ensures both positive selection for the mutation and verification of the altered phenotype.
For VV1113, researchers should:
Design constructs that avoid polar effects on adjacent genes
Include complementation studies to confirm phenotypes are due to VV1113 deletion
Perform whole genome sequencing to verify no additional mutations occurred
Transcriptomic studies can elucidate the regulatory context of VV1113, similar to approaches used in fish vibriosis research . A comprehensive approach would include:
| Experimental Condition | Purpose | Expected Outcome |
|---|---|---|
| Wild-type vs. VV1113 knockout | Identify genes affected by VV1113 deletion | Differentially expressed genes |
| Environmental stress conditions | Determine if VV1113 is stress-responsive | Stress-dependent expression patterns |
| Infection models | Assess role in virulence | Host-induced expression changes |
| Growth phase comparisons | Examine temporal regulation | Growth-dependent expression profile |
Analysis should include both early and late phase responses, similar to the two-phase inflammatory response observed in V. vulnificus infections: "The early phase... and the late phase (detectable at 12 hpi) is characterized by the upregulation of genes for typical inflammatory cytokines..."
Differential gene expression can be validated using RT-qPCR for selected marker genes, providing a more quantitative assessment of expression changes.
Understanding protein-protein interactions is crucial for elucidating function. Several complementary approaches should be employed:
Co-immunoprecipitation with tagged VV1113 followed by mass spectrometry
Bacterial two-hybrid or yeast two-hybrid screening
Proximity-dependent biotin labeling (BioID)
Cross-linking mass spectrometry for transient interactions
Pull-down assays with recombinant VV1113 and V. vulnificus lysates
Results should be validated using independent methods, and interaction networks should be mapped in relation to known virulence pathways. Potential interactions with virulence systems, such as the RTX toxin or type II secretion systems identified in V. vulnificus strains , would be particularly valuable to investigate.
Conservation analysis provides insights into evolutionary importance and functional constraints. Using approaches similar to the comparative genomic analysis performed on VV2018 , researchers should:
Extract VV1113 sequences from available V. vulnificus genomes
Perform multiple sequence alignment to identify conserved residues
Calculate sequence identity and similarity percentages
Construct phylogenetic trees to visualize evolutionary relationships
Compare conservation patterns between clinical and environmental isolates
Data from such analysis might appear as:
| V. vulnificus Strain | Source | Sequence Identity to Reference VV1113 | Notable Variations |
|---|---|---|---|
| ATCC 29307 | Clinical | 100% (reference) | None |
| MO6-24/O | Clinical | 98.7% | 3 conservative substitutions |
| VV2018 | Clinical (blood) | 97.2% | 5 substitutions in C-terminal region |
| YJ016 | Environmental | 94.5% | N-terminal variation |
| CMCP6 | Clinical | 99.1% | 2 conservative substitutions |
| (Hypothetical examples based on typical conservation patterns) |
High conservation would suggest essential cellular functions, while variability might indicate adaptation to different ecological niches or host interactions.
Pan-genome analysis, similar to that conducted for VV2018 , would determine whether VV1113 belongs to the core genome (present in all strains) or the accessory genome (variably present). This approach would include:
Construction of a pan-genome from multiple Vibrio genomes
Classification of VV1113 as core, soft core, shell, or cloud gene
Analysis of genetic context and synteny around the VV1113 locus
Identification of horizontal gene transfer signatures
The research on VV2018 provides a model: "VV2018 shared a total of 3,016 core genes (≥99% presence), including 115 core virulence factors (VFs) and 5 core antibiotic resistance-related genes, and 309 soft core genes (≥95 and <99% presence) with 25 other V. vulnificus strains." Determining whether VV1113 falls within the core or accessory genome provides crucial evolutionary context.
SNP analysis of VV1113 could serve as a molecular marker for epidemiological tracking, using methods similar to those described for V. vulnificus strain typing: "The phylogenetic tree of single nucleotide polymorphisms (SNPs) using 26 representative genomes revealed that VV2108 grouped with two other V. vulnificus strains isolated from humans."
A comprehensive approach would include:
Identification of SNPs within the VV1113 gene across multiple isolates
Correlation of specific SNPs with isolation source (clinical vs. environmental)
Temporal analysis to track evolutionary changes
Geographic distribution mapping to identify regional variants
Association of specific SNPs with virulence or host adaptation
Phenotypic evaluation of VV1113 knockout mutants would follow approaches similar to those used for elastase mutants . Researchers should examine:
Growth kinetics in various media (rich, minimal, iron-limited)
Stress response (oxidative, osmotic, temperature)
Biofilm formation capacity
Motility and chemotaxis
Virulence in cell culture and animal models
Resistance to environmental challenges
Unlike the elastase study which found "inactivation of the V. vulnificus vvpE gene did not affect the ability of the bacteria to infect mice and cause damage," VV1113 might show phenotypes in different assays depending on its function.
Post-translational modifications (PTMs) often regulate protein function. Investigation should include:
Mass spectrometry analysis to identify PTMs (phosphorylation, glycosylation)
Site-directed mutagenesis of modified residues
Comparison of modifications under different growth conditions
Functional assays comparing native and recombinant protein activities
The discovery of glycosylation (pgl) genes in V. vulnificus VV2018 suggests potential glycosylation machinery that might modify VV1113: "The glycosylation (pgl) like genes were found in VV2018 compared with Pgl-related proteins in Neisseria that might affect the adherence of the strain in hosts."
Determining virulence contributions requires multiple complementary approaches:
The time course of infection should be carefully monitored, as V. vulnificus infections show distinct phases: "The early phase... and the late phase (detectable at 12 hpi)..." Both acute and later-stage effects should be examined.
Structural determination requires specialized approaches:
X-ray crystallography
Optimize crystallization conditions (pH, temperature, precipitants)
Consider surface entropy reduction mutations to promote crystal packing
Use molecular replacement with homologous structures for phasing
NMR spectroscopy
Produce 15N, 13C-labeled protein in minimal media
Optimize buffer conditions for long-term stability
Consider deuteration for larger constructs
Cryo-electron microscopy
Particularly useful for protein complexes
Optimize grid preparation and vitrification conditions
Consider particle orientation issues
Structural information would significantly advance functional hypotheses for this protein of unknown function.
Without knowing the specific function of VV1113, a systematic approach is needed:
Screen for common enzymatic activities (hydrolase, transferase, isomerase)
Test activity under varying conditions:
pH range (5.0-9.0)
Temperature (4-42°C)
Salt concentration (0-500 mM NaCl)
Divalent cations (Mg2+, Mn2+, Ca2+, Zn2+)
Reducing agents (DTT, β-mercaptoethanol)
Use substrate panels based on bioinformatic predictions
Develop appropriate spectrophotometric or coupled assays for activity detection
This approach has been successful for characterizing other bacterial proteins of unknown function.
Developing screening assays for VV1113 modulators would include:
Developing a robust activity assay suitable for miniaturization
Optimizing assay conditions for 96/384-well format
Screening compound libraries:
Natural product extracts
Synthetic chemical libraries
Fragment-based screens
Repurposed drug libraries
Validation of hits through:
Dose-response studies
Orthogonal assays
Target engagement studies
Structure-activity relationship analysis
Testing effects on V. vulnificus growth and virulence
Chemical probes identified through such screens would serve as valuable research tools even before full functional characterization is achieved.
Systems biology integration would require:
Multi-omics data collection:
Transcriptomics (RNA-seq) of VV1113 mutants
Proteomics (LC-MS/MS) to identify abundance changes
Metabolomics to identify pathway alterations
Interactomics from protein-protein interaction studies
Network reconstruction using computational tools
Identification of regulatory hubs connected to VV1113
Perturbation studies to validate network predictions
This approach would place VV1113 in the broader context of cellular processes, potentially connecting it to known virulence mechanisms like the RTX toxin system or iron acquisition pathways identified in V. vulnificus .
Emerging technologies with potential application include:
CRISPR interference (CRISPRi) for tunable gene repression
Single-cell RNA-seq to capture heterogeneous responses
Proximity labeling proteomics for in vivo interaction mapping
Cryo-electron tomography for in situ structural studies
AlphaFold2 and similar AI tools for structure prediction
High-throughput phenotyping using automated imaging systems
These approaches offer advantages over traditional methods in terms of resolution, throughput, and contextual information.
Understanding VV1113 has implications beyond V. vulnificus biology:
UPF0207 proteins are widely distributed across bacterial species, and functional insights could apply broadly
Mechanisms of protein moonlighting (multiple functions) might be revealed
Novel bacterial adaptation strategies to marine and host environments could be uncovered
Potential new antimicrobial targets might emerge from functional studies
Understanding the evolution of virulence might be enhanced by studying conserved proteins of unknown function
The comprehensive genomic and transcriptomic approaches used for V. vulnificus studies demonstrate the value of investigating uncharacterized proteins for understanding bacterial biology and pathogenesis.