This protein binds to DNA, altering its conformation. It may play a role in gene expression regulation, nucleoid organization, and DNA protection.
KEGG: cvi:CV_1611
STRING: 243365.CV_1611
CV_1611 is part of the completely sequenced genome of C. violaceum strain ATCC 12472, which was first published in 2003 . Understanding the genomic neighborhood of CV_1611 can provide valuable insights into its potential function. When examining this gene, researchers should investigate whether it is located within or near any of the known pathogenicity islands, particularly the Chromobacterium pathogenicity islands (Cpi-1/1a and Cpi-2) that encode the type III secretion systems (T3SSs) . Additionally, determining if CV_1611 is part of an operon or if it is positioned near genes with known functions may provide clues about its biological role and regulation. For robust genomic context analysis, tools available in the Integrated Microbial Genomes and Microbiome (IMG/M) system can be particularly useful, as they have been successfully employed for comparative genomic studies of Chromobacterium species .
The conservation pattern of CV_1611 across the Chromobacterium genus can provide significant insights into its evolutionary importance. The Chromobacterium genus has expanded considerably in recent years, with numerous draft genome sequences now available . Comparative genomic analyses have revealed varying patterns of conservation for different genetic elements across Chromobacterium species. For example, the Cpi-1/1a T3SS is widespread throughout the genus, being absent only in C. piscinae, while the Cpi-2 T3SS has a much narrower distribution, primarily found in C. piscinae and C. vaccinii . A similar analysis of CV_1611 conservation could indicate whether this protein serves a core function (if highly conserved) or a more specialized role (if restricted to certain species). Researchers should examine both sequence conservation and synteny (conservation of genomic context) across species to fully understand the evolutionary significance of this protein.
Predicting the function of uncharacterized proteins like CV_1611 requires a multi-faceted approach:
Sequence homology analysis: Identify homologs with known functions across bacterial species using tools like BLAST and analyze conserved residues that might indicate functional sites.
Structural prediction: Utilize tools like AlphaFold2 to predict protein structure, which can reveal potential binding pockets or active sites.
Genomic context analysis: Examine neighboring genes and potential operonic structures that might suggest functional associations.
Expression analysis: Investigate under what conditions CV_1611 is expressed, particularly during host interaction or stress response.
Domain architecture analysis: Identify conserved domains that might indicate biochemical function.
Since C. violaceum possesses several well-characterized virulence mechanisms, including two T3SSs (Cpi-1/1a and Cpi-2) , particular attention should be paid to whether CV_1611 shows any expression patterns, structural features, or genomic associations that might link it to these pathogenicity systems.
While the specific role of CV_1611 in pathogenicity is not established in the available literature, C. violaceum possesses sophisticated virulence mechanisms that could potentially involve this protein. The pathogenicity of C. violaceum critically depends on its Cpi-1/1a T3SS, which delivers effector proteins into host cells . This system has been shown to be essential for virulence in mouse models and is required for the cytotoxicity observed in hepatocytes during infection . To investigate whether CV_1611 participates in pathogenicity:
Generate a CV_1611 knockout strain and assess its virulence in established infection models, similar to approaches used for characterizing virulence factors like CilA .
Examine whether CV_1611 is regulated by known virulence regulators such as CilA (the master transcriptional activator of Cpi-1/1a genes) or OhrR (a MarR family regulator important for virulence) .
Determine if CV_1611 affects the expression or function of the T3SS components or its effectors.
Investigate whether CV_1611 influences the interaction of C. violaceum with the host immune system, particularly with the NLRC4 inflammasome pathway that recognizes the T3SS needle protein CprI .
If CV_1611 plays a role in virulence, understanding its mechanism could provide new insights into how environmental bacteria like C. violaceum can become opportunistic pathogens.
C. violaceum is primarily an environmental bacterium found in soil and water in tropical and subtropical regions . Its ability to thrive in diverse ecological niches likely involves numerous adaptation mechanisms. CV_1611, as an uncharacterized protein, might participate in these adaptations through:
Stress response mechanisms: Many UPF0133 family proteins in other bacteria have been implicated in responses to environmental stressors.
Nutrient acquisition or metabolism: The protein might function in specialized metabolic pathways for utilizing available resources in different environments.
Competitive advantages: CV_1611 could potentially contribute to mechanisms that allow C. violaceum to compete with other microorganisms in its environment.
Biofilm formation or quorum sensing: Given that C. violaceum has well-characterized quorum sensing systems that regulate violacein production , CV_1611 might interface with these communication networks.
Research into environmental adaptation should consider the wide distribution of C. violaceum across varied habitats and how proteins like CV_1611 might contribute to this ecological versatility. Gene expression studies under different environmental conditions could provide valuable insights into the contexts in which CV_1611 functions.
The type III secretion systems (T3SSs) encoded in the Cpi-1/1a and Cpi-2 pathogenicity islands are critical virulence determinants in C. violaceum . The relationship between CV_1611 and these systems could take several forms:
CV_1611 could be a secreted effector: The Cpi-1/1a T3SS has been shown to secrete at least 16 effector proteins into host cells . Determining whether CV_1611 is among these effectors would require secretion assays and translocation studies.
CV_1611 might regulate T3SS expression or assembly: Some bacterial proteins influence the expression or functional assembly of T3SS components. This could be assessed through expression analysis and protein-protein interaction studies.
CV_1611 could affect post-translational modifications of T3SS components or effectors: Certain accessory proteins influence the activity of T3SS effectors through modifications.
CV_1611 might function in processes downstream of T3SS activity: The protein could participate in cellular processes that are initiated or required after T3SS deployment.
The widespread occurrence of the Cpi-1/1a T3SS across Chromobacterium species suggests its fundamental importance to the genus. If CV_1611 interacts with this system, it might similarly be conserved across species, which could be verified through comparative genomic analysis.
C. violaceum interactions with host cells involve complex molecular mechanisms, particularly through its T3SS . The potential role of CV_1611 in these interactions could be investigated through:
Host cell response analysis: Compare transcriptomic or proteomic profiles of host cells infected with wild-type versus CV_1611 knockout strains.
Localization studies: Determine where CV_1611 localizes during infection using fluorescent protein fusions or immunofluorescence.
Interaction with host immune mechanisms: Investigate whether CV_1611 affects the activation of the NLRC4 inflammasome, which recognizes the C. violaceum T3SS needle protein CprI .
Influence on pyroptosis and neutrophil recruitment: These processes are critical for clearing C. violaceum infections . Assess whether CV_1611 affects these host defense mechanisms.
Research has shown that pyroptosis and natural killer cell cytotoxicity release bacteria from intracellular niches, exposing them to neutrophil killing . Understanding if and how CV_1611 affects these processes could provide significant insights into its role during infection.
Successful production of recombinant CV_1611 requires careful selection of expression systems:
| Expression System | Advantages | Considerations | Recommended Vectors |
|---|---|---|---|
| E. coli BL21(DE3) | High yield, well-established protocols | May require codon optimization for C. violaceum genes | pET series with T7 promoter |
| E. coli Arctic Express | Enhanced folding at low temperatures | Slower growth, lower yields | pET vectors with cold-inducible promoters |
| Pseudomonas-based systems | Similar GC content to C. violaceum | Less developed than E. coli systems | pUCP or pJB vectors |
| Cell-free systems | Avoids toxicity issues, rapid production | Higher cost, lower yield | Linear DNA templates with T7 promoter |
For optimal expression:
Design constructs with various solubility-enhancing fusion tags (His6, MBP, SUMO, GST)
Test expression at multiple temperatures (16°C, 25°C, 30°C, 37°C)
Vary inducer concentrations (0.1-1.0 mM IPTG for T7 systems)
Consider autoinduction media to achieve higher cell densities
When developing purification protocols, special attention should be paid to potential issues with protein folding, as incorrect folding could lead to misleading functional characterization results.
Structural characterization of uncharacterized proteins like CV_1611 often presents unique challenges. A comprehensive approach includes:
Computational structure prediction:
Use of multiple prediction algorithms (I-TASSER, AlphaFold2, RoseTTAFold)
Validation through molecular dynamics simulations
Integration with evolutionary conservation data
X-ray crystallography optimization:
Systematic screening of construct boundaries to remove disordered regions
Surface entropy reduction mutations to enhance crystallization
In situ proteolysis during crystallization
Co-crystallization with potential binding partners
NMR approaches:
TROSY-based methods for improved signal resolution
Selective isotope labeling to focus on regions of interest
Paramagnetic relaxation enhancement for structural constraints
Hybrid methods:
Small-angle X-ray scattering (SAXS) combined with computational models
Hydrogen-deuterium exchange mass spectrometry for dynamics information
Crosslinking mass spectrometry for identifying interaction surfaces
For proteins with unknown function like CV_1611, structural studies are particularly valuable as they can reveal potential active sites or binding pockets that suggest function, which can then guide biochemical characterization.
Genetic manipulation of C. violaceum requires specialized techniques:
Gene knockout strategies:
Allelic exchange using suicide vectors (e.g., pEX18 derivatives)
Double crossover selection using sacB/sucrose counter-selection
CRISPR-Cas9 systems adapted for C. violaceum
Expression modulation:
Inducible promoter systems (e.g., arabinose-inducible pBAD)
Antisense RNA approaches for knockdown
Degradation tag systems for controlled protein depletion
Complementation approaches:
Chromosomal integration at neutral sites
Low-copy plasmids with native promoters
Controlled expression systems to prevent artifacts from overexpression
When developing knockout strains, researchers should follow approaches similar to those used successfully for studying virulence factors in C. violaceum, such as the cilA-mutant strain that showed attenuated virulence in mice . Complementation studies should include both wild-type CV_1611 and variants with mutations in predicted functional residues to establish structure-function relationships.
Identifying protein interaction partners is crucial for understanding CV_1611 function:
| Method | Principle | Advantages | Limitations |
|---|---|---|---|
| Bacterial two-hybrid | Reconstitution of transcription factor activity | In vivo, can detect weak interactions | False positives, limited to binary interactions |
| Affinity purification-MS | Co-purification of complexes followed by MS | Identifies multi-protein complexes in native context | May miss transient interactions |
| Crosslinking-MS | Chemical stabilization of interactions | Captures transient interactions | Complex data analysis, crosslinking artifacts |
| Proximity labeling | Biotinylation of nearby proteins (BioID, APEX) | Works in living cells, spatial information | Non-specific labeling, requires genetic engineering |
| Yeast two-hybrid | Reconstitution of transcription factor activity | High-throughput screenable | High false positive rate, non-native environment |
When investigating potential interactions with T3SS components, specific approaches should include:
Pull-down assays with T3SS structural proteins and regulators like CilA
Co-immunoprecipitation experiments under infection-mimicking conditions
Bacterial two-hybrid screening against a library of C. violaceum virulence-associated proteins
In vitro binding assays with purified T3SS components
These studies should be complemented with functional validation through mutational analysis of interaction interfaces identified through structural studies.
A comprehensive experimental design for virulence assessment should include:
In vitro infection models:
In vivo infection models:
Mechanistic investigations:
The experimental design should incorporate appropriate controls, including comparison with known attenuated strains like cilA mutants and complementation with wild-type CV_1611 to confirm phenotype specificity.
Comprehensive bioinformatic analysis should integrate multiple approaches:
Sequence-based analyses:
Position-Specific Iterated BLAST (PSI-BLAST) for distant homolog detection
Multiple sequence alignment with Clustal Omega or MUSCLE to identify conserved residues
Motif analysis using MEME suite to identify functional motifs
Coevolution analysis to identify functionally coupled residues
Structure-based analyses:
Structural comparison with known proteins using DALI or TM-align
Binding site prediction using CASTp or FTMap
Molecular docking simulations with potential ligands
Electrostatic surface analysis to identify potential interaction sites
Genomic context analyses:
Network-based approaches:
Protein-protein interaction prediction using STRING
Gene expression correlation networks from public transcriptomic data
Metabolic network analysis to identify potential biochemical roles
These computational approaches should guide experimental design by generating testable hypotheses about CV_1611 function, particularly in relation to virulence mechanisms and T3SS function.
To contextualize CV_1611 research within the broader framework of C. violaceum biology:
Multi-omics data integration:
Compare transcriptomic profiles of CV_1611 mutants with other virulence factor mutants
Conduct proteomic analysis to identify proteins with altered abundance in CV_1611 mutants
Integrate metabolomic data to identify biochemical pathways affected by CV_1611
Evolutionary context analysis:
Functional networks construction:
Build interaction networks incorporating CV_1611 and known virulence factors
Map CV_1611 function within signaling pathways involved in virulence regulation
Connect CV_1611 to broader cellular processes such as stress response or metabolism
Translational relevance assessment:
Evaluate if CV_1611 research provides insights into mechanisms of environmental pathogens
Consider potential applications in developing intervention strategies against C. violaceum infections
Assess broader implications for understanding T3SS evolution and function across bacterial species
By connecting CV_1611 research to the established knowledge about C. violaceum pathogenicity, particularly the critical role of the Cpi-1/1a T3SS in virulence , researchers can build a more comprehensive understanding of how this environmental bacterium functions as an opportunistic pathogen.