Recombinant Sphingomonas wittichii UPF0060 membrane protein Swit_0423 (Swit_0423) is a protein derived from the bacterium Sphingomonas wittichii . S. wittichii is known for its ability to degrade environmental pollutants, such as dibenzo-p-dioxins and dibenzofurans . Swit_0423 is a membrane protein that contains 110 amino acids .
| Feature | Description |
|---|---|
| Protein Name | Recombinant Full Length Sphingomonas wittichii UPF0060 membrane protein Swit_0423 (Swit_0423) |
| Source | E. coli |
| Tag | His tag |
| Protein Length | Full Length (1-110aa) |
| Purity | Greater than 90% as determined by SDS-PAGE |
| AA Sequence | MPGAGLFIFVAAALCEIGGCFAFWAWLRLGKSPLWAVGGVGLLILFAWLLTRVDSAAAGRAFAAYGGIYICASLGWMWAVEGGRPDRWDLIGVLLCAVGSAVILLGPRTA |
| Gene Name | Swit_0423 |
| Synonyms | Swit_0423; UPF0060 membrane protein Swit_0423 |
| UniProt ID | A5V3C5 |
Swit_0423 is a UPF0060 (unknown protein function) membrane protein . Membrane proteins are typically amphiphilic, meaning they have both hydrophobic and hydrophilic regions, which allows them to embed within the lipid bilayer of cell membranes . The amino acid sequence of Swit_0423 suggests the presence of hydrophobic segments, typical of transmembrane domains . The structure of proteins is directly related to its function .
The precise function of Swit_0423 in Sphingomonas wittichii is not yet fully understood . Proteins with unknown function are often identified through genomic sequencing and bioinformatic analysis, representing novel areas for biochemical research. It has been shown that Sphingomonas wittichii RW1 utilizes specific promoters from the dibenzofuran metabolic network, such as the promoter upstream of the gene Swit_4925, for a putative 2-hydroxy-2,4-pentadienoate hydratase, which is inducible by growth on dibenzofuran .
| Condition | Observed Effect |
|---|---|
| Transition from liquid to sand | Showed stationary phase characteristics, evidence for stress, and nutrient scavenging, and adjusted their primary metabolism if they were not precultured on the same contaminant as found in the soil. |
| Growth and survival in sand | Degraded dibenzofuran but displayed a very different transcriptome signature as in liquid or in liquid culture exposed to chemicals inducing drought stress, and evidence was obtained for numerous ‘soil-specific' expressed genes. |
Recombinant proteins such as Swit_0423 are useful in several biochemical and biophysical studies . These proteins can be used to study protein-protein interactions, enzymatic assays, or structural determination.
Recombinant Swit_0423 is produced in E. coli and has an N-terminal His tag for purification . The use of E. coli as a host organism allows for efficient and cost-effective production of the protein. After expression, the protein is purified using affinity chromatography, taking advantage of the His tag's affinity for nickel or other metal ions.
KEGG: swi:Swit_0423
STRING: 392499.Swit_0423
The Swit_0423 gene is located within the genome of Sphingomonas wittichii RW1, a bacterium notable for its capability to degrade dibenzodioxins and dibenzofurans. Within the genomic context, this gene is designated as an "ordered locus name," indicating its position in the bacterial chromosome. The gene encodes a UPF0060 family membrane protein, which belongs to a group of functionally uncharacterized proteins .
The genomic neighborhood analysis reveals that genes in proximity to Swit_0423 may be involved in membrane transport functions or related to the organism's adaptation to environmental stressors, although comprehensive genomic mapping would require analysis beyond the current data set.
Sphingomonas wittichii RW1 exhibits remarkably different gene expression patterns depending on its environmental conditions, particularly between liquid culture and soil/sand environments. When transitioned from liquid culture to contaminated sand, the bacterium shows:
Stationary phase characteristics even in the transition phase
Evidence of stress response activation
Nutrient scavenging behavior
Adjustment of primary metabolism based on available contaminants
Significantly, cells growing in sand display a "soil-specific" transcriptome signature that differs substantially from both standard liquid cultures and liquid cultures induced with chemicals to simulate drought stress . This suggests that RW1 has sophisticated mechanisms to recognize and adapt to its growth environment beyond simple stress responses.
The bacterium can efficiently persist and grow under dry conditions and successfully degrade contaminants like dibenzofuran (DBF), particularly when precultured with the target contaminant .
Transcriptomic studies of Sphingomonas wittichii RW1 in contaminated sand versus liquid cultures provide insights into potential expression patterns of membrane proteins like Swit_0423 during bioremediation. When RW1 is inoculated into non-sterile contaminated sand, its transcriptome signature differs significantly from patterns observed in liquid cultures or under chemically-induced drought stress .
The adaptation to soil environments involves complex transcriptional reprogramming, with evidence for "soil-specific" expressed genes. While specific expression data for Swit_0423 is not directly provided in the available resources, membrane proteins typically play crucial roles in:
Environmental sensing and signal transduction
Transport of nutrients in resource-limited environments
Cell-surface interactions with soil particles and other microorganisms
Maintenance of cellular homeostasis under variable moisture conditions
Researchers investigating Swit_0423 expression should consider employing RT-qPCR techniques targeting this specific gene under various soil conditions, including different moisture levels, contaminant concentrations, and time points during the bioremediation process.
Comparative structural analysis of membrane proteins across bioremediation-relevant bacterial species can provide insights into functional conservation and specialization. The UPF0060 family, to which Swit_0423 belongs, contains proteins with similar structural features across different bacterial species.
A comprehensive structural comparison would require:
Protein structure prediction analysis
Identification of conserved domains and motifs
Comparison with homologous proteins in Arthrobacter chlorophenolicus A6 and Pseudomonas veronii 1YdBTEX2
While detailed structural data is not provided in the available search results, typical approaches for such analysis include:
Homology modeling using crystallographically determined structures of related proteins
Transmembrane topology prediction
Identification of conserved residues across species
The hydrophobic nature of the Swit_0423 amino acid sequence (MPGAGLFIFVAAALCEIGGCFAFWAWLRLGKSPLWAVGGVGLLILFAWLLTRVDSAAAGRAFAAYGGIYICASLGWMWAVEGGRPDRWDLIGVLLCAVGSAVILLGPRTA) suggests multiple transmembrane domains, consistent with its classification as a membrane protein .
Optimal expression of recombinant Swit_0423 for structural studies requires careful consideration of several parameters due to its hydrophobic nature as a membrane protein. Based on general approaches for membrane protein expression and available information about Swit_0423:
Expression System Options:
| Expression System | Advantages | Disadvantages | Suitability for Swit_0423 |
|---|---|---|---|
| E. coli | Fast growth, high yield | Potential inclusion body formation | Moderate; may require optimization |
| Yeast (P. pastoris) | Eukaryotic processing, higher membrane capacity | Slower growth | Good for membrane proteins |
| Cell-free systems | Avoids toxicity issues | Lower yield | Good for initial screening |
Optimization Parameters:
Temperature: Lower temperatures (16-25°C) often improve membrane protein folding
Induction conditions: Low inducer concentrations for slower expression
Detergents for extraction: Mild detergents (DDM, LDAO) for membrane extraction
Fusion tags: Consider fusion with MBP, SUMO, or other solubility-enhancing tags
For storage, a Tris-based buffer with 50% glycerol has been used successfully for this protein . The recombinant protein is typically available in quantities of approximately 50 μg for research purposes, though larger quantities may be produced with optimized conditions.
Based on successful research approaches documented in the literature, the following experimental framework is recommended for comparing Sphingomonas wittichii RW1 behavior in soil versus liquid environments:
Experimental Design:
Preculturing conditions:
Culture RW1 in both target contaminant (e.g., dibenzofuran) and alternative carbon sources
Standardize growth phase before inoculation (typically mid-log phase)
Parallel inoculation into:
Non-sterile contaminated sand/soil
Standard liquid culture
Liquid culture with drought stress inducers (e.g., salt, PEG)
Sampling timepoints:
Immediate transition (0-6 hours)
Early adaptation (24 hours)
Established growth (2-7 days)
Long-term survival (14+ days)
Analytical Methods:
Genome-wide transcriptomics:
RNA extraction using hot phenol protocol optimized for soil samples
Microarray hybridizations or RNA-seq
Comparative analysis against baseline conditions
Survival and growth monitoring:
Colony forming unit (CFU) counts
Specific qPCR targeting RW1 genomic markers
Contaminant degradation monitoring:
HPLC or GC-MS analysis of remaining contaminants
This approach has successfully revealed that RW1 exhibits distinctly different transcriptomic signatures in soil compared to liquid culture conditions, with evidence of numerous "soil-specific" expressed genes .
Extraction of membrane proteins presents unique challenges due to their hydrophobic nature and integration within the lipid bilayer. For optimal extraction of Swit_0423 from Sphingomonas wittichii RW1, the following protocol framework is recommended:
Step-by-Step Extraction Protocol:
Cell harvesting and preparation:
Harvest cells during mid-log to late-log phase
Wash cells with buffer containing protease inhibitors
Resuspend in lysis buffer (typically Tris-based, pH 7.5-8.0)
Cell disruption options:
Sonication (intermittent pulses to prevent overheating)
French press (preferred for better membrane fraction recovery)
Bead-beating with optimized parameters for gram-negative bacteria
Membrane fraction isolation:
Low-speed centrifugation to remove cell debris (5,000-10,000 × g)
Ultracentrifugation to collect membrane fraction (100,000-150,000 × g)
Detergent screening for optimal solubilization:
| Detergent | Concentration Range | Characteristics | Suitability |
|---|---|---|---|
| DDM | 0.5-2% | Mild, maintains protein structure | Good starting point |
| LDAO | 0.5-1% | Effective for many membrane proteins | Test in parallel with DDM |
| SDS | 0.1-1% | Harsh, complete denaturation | For maximum yield, not functional studies |
| Digitonin | 0.5-1% | Very mild, preserves complexes | For interaction studies |
Purification strategies:
IMAC (if His-tagged)
Ion exchange chromatography
Size exclusion chromatography for final polishing
Storage of the extracted protein should include glycerol (approximately 50%) to maintain stability, as indicated in the product information for recombinant Swit_0423 .
Interpretation of transcriptomic data for Sphingomonas wittichii RW1 across different environmental conditions requires systematic analysis approaches due to the complex nature of whole-genome expression patterns. Based on successful research methodologies:
Recommended Analysis Framework:
Data normalization and quality control:
Apply robust normalization methods suitable for the platform (microarray or RNA-seq)
Assess sample clustering to identify potential outliers
Verify expression of housekeeping genes for quality control
Differential expression analysis:
Compare conditions using appropriate statistical methods (e.g., limma for microarrays, DESeq2 for RNA-seq)
Apply multiple testing corrections (Benjamini-Hochberg procedure)
Set biologically meaningful thresholds (typically fold change ≥ 2 and adjusted p-value ≤ 0.05)
Functional interpretation strategies:
Gene Ontology (GO) enrichment analysis to identify overrepresented biological processes
Pathway analysis to identify metabolic adjustments
Comparison with known stress response mechanisms
Key Interpretive Considerations:
When analyzing transcriptomic data from different environmental conditions (e.g., sand vs. liquid culture), researchers should pay particular attention to:
Environment-specific signatures: Studies have identified "soil-specific" expressed genes in RW1 that differ from both standard liquid cultures and artificially-induced stress conditions .
Temporal dynamics: Expression patterns during immediate transition differ from those during established growth in a new environment.
Pre-culture effects: RW1 shows different adaptation patterns depending on whether it was pre-cultured on the same contaminant found in the soil .
Stress response vs. adaptation: Distinguish between general stress responses and specific adaptive mechanisms.
Distinguishing between general stress responses and environment-specific adaptations requires careful experimental design and data analysis approaches. Based on research with Sphingomonas wittichii RW1:
Experimental Approach:
The following experimental matrix can help distinguish different types of responses:
| Condition | Purpose | Expected Response Type |
|---|---|---|
| Liquid culture (control) | Baseline | - |
| Liquid + osmotic stress (salt/PEG) | Isolate water stress | General stress response |
| Liquid + contaminant | Isolate contaminant effect | Contaminant-specific response |
| Sand without contaminant | Isolate soil effect | Environment-specific response |
| Sand with contaminant | Combined conditions | Integrated response |
Analytical Strategy:
Comparative transcriptome analysis:
Identify overlapping and distinct gene sets across conditions
Create Venn diagrams to visualize shared and unique responses
Apply principal component analysis to separate major sources of variation
Temporal analysis:
Track expression changes over multiple time points
Distinguish immediate stress responses from long-term adaptations
Identify gene expression patterns that correlate with successful establishment
Integration with physiological data:
Correlate transcriptome changes with growth rates
Measure contaminant degradation efficiency across conditions
Monitor cellular energy status (ATP/ADP ratio)
Research has demonstrated that RW1's transcriptome in sand is distinctly different from its response to chemically-induced water stress, indicating sophisticated environment sensing beyond simple stress perception . This approach has successfully revealed that RW1 employs specific adaptive mechanisms for soil environments that cannot be predicted from liquid culture stress experiments alone.
To validate the functional importance of Swit_0423 in environmental adaptation, researchers should employ a multi-faceted approach combining genetic manipulation, phenotypic characterization, and molecular analysis:
Genetic Manipulation Strategies:
Gene knockout/knockdown:
CRISPR-Cas9 system adapted for Sphingomonas
Homologous recombination-based gene deletion
Antisense RNA for partial expression reduction
Complementation and overexpression:
Reintroduce wild-type gene in knockout strain
Express under inducible promoter for controlled studies
Create point mutations in key residues to identify critical domains
Phenotypic Characterization:
Environmental fitness assessment:
Compare growth and survival of wild-type and mutant strains across conditions:
Liquid culture vs. soil systems
Varying water availability
Presence/absence of contaminants
Competition experiments with mixed cultures
Membrane integrity and function tests:
Membrane permeability assays
Osmotic shock resistance
Membrane potential measurements
Molecular Analysis:
Protein interaction studies:
Pull-down assays to identify interaction partners
Bacterial two-hybrid systems
Cross-linking followed by mass spectrometry
Localization studies:
Fluorescent protein fusion to confirm membrane localization
Immunogold electron microscopy for precise subcellular localization
Transcriptome impact analysis:
Compare wild-type and mutant transcriptomes under stress conditions
Identify regulatory networks affected by Swit_0423 absence
This comprehensive approach can definitively establish whether Swit_0423 plays a critical role in environmental adaptation and characterize its specific functions within the adaptive response mechanisms of Sphingomonas wittichii RW1.
Based on current knowledge gaps and the potential applications of Sphingomonas wittichii RW1 in bioremediation, several promising research directions emerge:
Structural and functional characterization of Swit_0423:
Determine the high-resolution structure using X-ray crystallography or cryo-EM
Identify functional domains through site-directed mutagenesis
Elucidate the protein's role in membrane integrity and stress response
Systems biology approaches:
Integrate transcriptomics, proteomics, and metabolomics data across environmental conditions
Develop predictive models of RW1 behavior in complex environments
Map the regulatory networks governing environmental adaptation
Applied bioremediation research:
Optimize pre-culture conditions for enhanced survival and activity in contaminated soils
Develop biosensors based on Swit_0423 or related proteins to monitor stress in bioremediation applications
Engineer strains with enhanced stress tolerance through targeted modifications
Ecological studies:
Investigate interactions between RW1 and indigenous soil microbiota
Determine the horizontal gene transfer potential of genes like Swit_0423
Study the long-term evolutionary adaptation of RW1 in contaminated environments
These research directions could significantly advance both fundamental understanding of bacterial adaptation mechanisms and practical applications in environmental biotechnology and bioremediation.