KEGG: dia:Dtpsy_1668
STRING: 535289.Dtpsy_1668
Acidovorax ebreus is a bacterial species first described by Byrne-Bailey et al. in 2010, though it has not been validly published according to the List of Prokaryotic Names with Standing in Nomenclature (LPSN) . The organism belongs to the genus Acidovorax, which was established by Willems et al. in 1990 .
The full taxonomic lineage of Acidovorax ebreus is:
Domain: Bacteria
Phylum: Proteobacteria
Class: Betaproteobacteria
Order: Burkholderiales
Family: Comamonadaceae
Genus: Acidovorax
Acidovorax ebreus strain TPSY is notable as the first anaerobic nitrate-dependent Fe(II) oxidizer for which a complete genome sequence is available . The etymology of the genus name Acidovorax comes from Latin terms: "acidum" (acid) and "vorax" (voracious), referring to acid-devouring bacteria .
The recombinant form of Dtpsy_1668 is typically produced using standard protein expression systems. Based on commercial product information, the following methods are employed:
Expression systems:
Construct design:
Purification and preparation:
The recombinant protein is designed to facilitate research applications requiring pure protein preparations, such as structural studies, antibody production, or functional characterization.
The optimal storage and handling conditions for recombinant Dtpsy_1668 are critical for maintaining protein stability and functionality in research applications. Based on manufacturer recommendations, the following guidelines should be followed:
| Storage Condition | Recommendation | Duration |
|---|---|---|
| Long-term storage | -20°C to -80°C | 6-12 months |
| Working aliquots | 4°C | Up to one week |
| Lyophilized form | -20°C to -80°C | 12 months |
| Liquid form | -20°C to -80°C | 6 months |
Handling recommendations:
Brief centrifugation of the vial prior to opening is recommended to bring contents to the bottom
Reconstitute lyophilized protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (50% is recommended by default) for long-term storage
Aliquot to avoid repeated freeze-thaw cycles, which significantly reduce protein stability
The shelf life of the protein is influenced by multiple factors including storage state, buffer ingredients, storage temperature, and the intrinsic stability of the protein itself . Following these guidelines will help ensure the protein maintains its structure and functional properties for research applications.
Studying the membrane localization and topology of membrane proteins like Dtpsy_1668 requires specialized experimental approaches due to their hydrophobic nature and integration into lipid bilayers. Based on standard methodologies for membrane protein analysis, the following approaches are recommended:
Computational prediction methods:
Hydropathy analysis and transmembrane domain prediction using algorithms like TMHMM, Phobius, or TOPCONS
Sequence-based topology prediction tools can help identify membrane-spanning regions and orientation
Biochemical approaches:
Protease protection assays to determine which regions are accessible from different sides of the membrane
Chemical labeling of accessible residues (e.g., cysteine scanning and labeling)
Glycosylation mapping using engineered glycosylation sites
Structural biology methods:
Cryo-electron microscopy of membrane protein complexes
X-ray crystallography (challenging for membrane proteins)
NMR spectroscopy for smaller membrane proteins or domains
Fluorescence-based approaches:
GFP-fusion proteins to track cellular localization
FRET (Förster Resonance Energy Transfer) to study proximity relationships
Fluorescence microscopy to visualize cellular distribution
Immunological methods:
Immunogold electron microscopy to visualize the protein in native membranes
Immunofluorescence with domain-specific antibodies to determine topology
For Dtpsy_1668 specifically, its identification as a UPF0060 family member suggests it's likely a multi-pass membrane protein localized to the cell inner membrane , providing a starting point for experimental design.
The UPF0060 protein family, to which Dtpsy_1668 belongs, remains relatively uncharacterized in terms of specific biological functions. The "UPF" designation (Uncharacterized Protein Family) itself indicates limited functional annotation. Based on available information:
Structural characteristics:
Genomic context:
Phylogenetic distribution:
Similar proteins exist across various bacterial species, particularly in proteobacteria
Conservation across species suggests a fundamental role in bacterial physiology
Hypothesized functions:
Possible roles in membrane integrity or transport processes due to transmembrane localization
May contribute to adaptations for anaerobic respiration or metal oxidation processes given the organism's metabolism
Could function in stress response or environmental adaptation
Further experimental characterization is needed to determine the specific function of Dtpsy_1668 and related UPF0060 family proteins. Approaches might include gene knockout studies, protein-protein interaction analyses, or comparative genomics across diverse bacterial species harboring these proteins.
Given that Acidovorax ebreus strain TPSY is an anaerobic nitrate-dependent Fe(II) oxidizer , investigating the potential role of Dtpsy_1668 in iron metabolism requires a comprehensive experimental approach:
Proposed Experimental Design:
Gene expression analysis:
RT-qPCR to measure Dtpsy_1668 expression under varying iron conditions
RNA-Seq comparing transcriptomes in iron-rich vs. iron-limited conditions
Promoter analysis to identify potential iron-responsive regulatory elements
Gene disruption studies:
CRISPR-Cas9 or homologous recombination to generate Dtpsy_1668 knockout strains
Complementation with wild-type and mutated versions to confirm phenotypes
Phenotypic characterization focusing on:
Growth rates under anaerobic Fe(II)-oxidizing conditions
Fe(II) oxidation rates using ferrozine assays
Nitrate reduction capacity
Protein localization during Fe(II) oxidation:
Fluorescently tagged Dtpsy_1668 to track subcellular distribution
Membrane fractionation followed by Western blotting
Immunogold electron microscopy to visualize protein in relation to Fe(II) oxidation machinery
Protein-protein interaction studies:
Co-immunoprecipitation to identify binding partners
Bacterial two-hybrid assays
Proximity labeling followed by mass spectrometry
Metal binding assays:
Isothermal titration calorimetry (ITC) with purified protein
Metal-catalyzed oxidation (MCO) assays
Electron paramagnetic resonance (EPR) spectroscopy
Structural changes upon Fe(II) binding:
Circular dichroism to detect secondary structure changes
Hydrogen-deuterium exchange mass spectrometry
X-ray absorption spectroscopy
This multi-faceted approach would provide complementary lines of evidence to determine whether Dtpsy_1668 plays a direct role in Fe(II) oxidation, functions as an accessory protein in the process, or has an unrelated function in membrane biology.
Structural modeling and computational approaches provide valuable insights for membrane proteins like Dtpsy_1668 where experimental structural determination can be challenging:
Homology modeling workflow:
Template identification using PSI-BLAST against the PDB database
Sequence alignment optimization with membrane-specific substitution matrices
Model building using specialized membrane protein modeling tools (e.g., MEMOIR, MEDELLER)
Model refinement with molecular dynamics simulations in a membrane environment
Validation using tools like ProSA-web and PROCHECK
Ab initio modeling approaches:
For novel folds with no suitable templates
Rosetta Membrane for de novo modeling in implicit membrane environments
AlphaFold2 or RoseTTAFold incorporation of co-evolutionary information
Functional domain prediction:
Conserved domain analysis using CDD, PFAM, and InterPro
Evolutionary trace analysis to identify functionally important residues
Analysis of UPF0060 family alignments to identify conserved motifs
Molecular dynamics simulations:
Explicit membrane simulations to study protein-lipid interactions
Assessment of stability in different membrane compositions
Water/ion permeation studies to identify potential channel function
Ligand binding site prediction:
CASTp or COACH for pocket identification
Metal binding site prediction using MIB, TEMSP
Molecular docking with potential ligands, including iron-containing molecules
Protein-protein interaction prediction:
ZDOCK or HADDOCK for docking with potential partners
Analysis of surface electrostatics and hydrophobicity
Coevolution-based contact prediction between proteins
The amino acid sequence of Dtpsy_1668 (MLPFKTLALFLLTAVAEIVGCYLPWLWLRQGRSAWLLVPAAASLALFAWLLTLHPAATGRVYAAYGGVYVAVALVWLWTVDGVRPGPWDWLGVSVTLCGMAIIAFAPRGG) contains hydrophobic stretches indicative of transmembrane regions, which would be emphasized in the structural modeling process. Integration of computational predictions with targeted experimental validation would provide testable hypotheses about Dtpsy_1668 function.
Investigating the phylogenetic distribution and evolutionary history of Dtpsy_1668 homologs requires a systematic approach combining bioinformatics and comparative genomics:
Research Approach Framework:
Homolog identification:
BLAST searches against comprehensive databases (NCBI nr, UniProt)
Profile-based searches using HMMer with UPF0060 family profiles
Positional ortholog identification using genome context conservation
Data collection from diverse bacterial phyla, emphasizing:
Close relatives in Acidovorax genus
Other members of Comamonadaceae family
Broader distribution in Proteobacteria
Potential distant homologs in other bacterial phyla
Multiple sequence alignment construction:
Specialized membrane protein alignment tools (e.g., PRALINE-TM)
Manual refinement focusing on transmembrane region alignments
Incorporation of structural information where available
Phylogenetic analysis:
Maximum likelihood methods (RAxML, IQ-TREE)
Bayesian inference approaches (MrBayes)
Selection of appropriate evolutionary models for membrane proteins
Bootstrap analysis and posterior probability assessment
Evolutionary rate analysis:
Site-specific evolutionary rates using PAML
Identification of positively selected sites
Conservation analysis using ConSurf or Evolutionary Trace
Genomic context analysis:
Examination of neighboring genes across species
Identification of conserved genomic neighborhoods
Detection of potential operonic structures
Correlation with ecological and physiological traits:
Mapping presence/absence against metabolic capabilities
Correlation with habitat preferences (e.g., anaerobic environments)
Association with iron oxidation or other metal metabolism
This approach would elucidate the evolutionary history of Dtpsy_1668 and potentially provide functional insights based on patterns of conservation and co-evolution with other genes. The analysis might reveal whether homologs are specifically associated with anaerobic iron oxidation or have broader distribution suggesting alternative functions.
Studying protein-lipid interactions for membrane proteins like Dtpsy_1668 requires careful experimental design considering the protein's hydrophobic nature and its native lipid environment:
Critical Experimental Design Factors:
Membrane mimetic selection:
| Mimetic System | Advantages | Limitations | Applicability to Dtpsy_1668 |
|---|---|---|---|
| Detergent micelles | Simple preparation, good for spectroscopy | May distort native structure | Initial solubilization and purification |
| Bicelles | Disc-like, bilayer structure | Limited stability | NMR studies of structure |
| Nanodiscs | Defined size, native-like bilayer | Complex assembly | Studying specific lipid interactions |
| Liposomes | Enclosed bilayer, transport studies | Heterogeneous | Functional reconstitution assays |
| Native nanodiscs | Preserves native lipids | Challenging isolation | Maintaining native interactions |
Lipid composition considerations:
Use of E. coli lipids for bacterial membrane proteins as a starting point
Systematic variation of lipid headgroups (PG, PE, CL) to identify preferences
Examination of acyl chain length and saturation effects
Testing of potential specific lipid interactions (e.g., cardiolipin)
Protein purification strategies:
Gentle solubilization with mild detergents (DDM, LMNG)
Minimizing time in detergent micelles
Stabilization during purification (e.g., glycerol, specific lipids)
Careful tag placement to avoid interference with lipid interactions
Biophysical techniques selection:
Fluorescence spectroscopy for monitoring lipid effects on structure
Differential scanning calorimetry for thermostability assessment
Microscale thermophoresis for binding studies
Native mass spectrometry for direct lipid binding detection
Functional assessment approaches:
Lipid-dependent activity assays if function is known
Structural stability as a function of lipid environment
Oligomerization state monitoring in different lipid contexts
Controls and validation:
Comparison with other membrane proteins of similar size
Use of lipid-binding mutants as negative controls
Multiple complementary techniques to confirm observations
For Dtpsy_1668 specifically, its 110-amino acid size and multi-pass membrane protein nature suggest nanodiscs or bicelles may be appropriate systems for detailed interaction studies, while initial characterization could employ detergent micelles for practical solubilization.
When faced with contradictory results from different expression systems for recombinant Dtpsy_1668, a systematic troubleshooting approach is necessary to identify the source of discrepancies and determine the most physiologically relevant findings:
Proposed Research Design:
Systematic comparison of expression systems:
Direct comparison of protein expressed in E. coli , baculovirus , and other systems
Standardization of constructs (identical tags, cloning sites, and expression regions)
Comprehensive characterization of expression products:
SDS-PAGE and Western blot analysis
Mass spectrometry for exact mass determination
N-terminal sequencing to confirm processing
Post-translational modification analysis:
Phosphorylation analysis by Pro-Q Diamond staining and LC-MS/MS
Glycosylation detection using glycoprotein staining methods
Comparison of modification patterns across expression systems
Structural integrity assessment:
Circular dichroism (CD) spectroscopy to compare secondary structure
Intrinsic fluorescence to evaluate tertiary structure
Size-exclusion chromatography to determine oligomeric state
Limited proteolysis to assess domain folding
Membrane incorporation studies:
Reconstitution into liposomes of defined composition
Proteoliposome flotation assays to confirm membrane integration
Freeze-fracture electron microscopy to visualize membrane incorporation
Functional characterization:
Development of relevant functional assays based on predicted roles
Parallel testing of proteins from different sources
Quantitative comparison of activity metrics
Native protein comparison:
If possible, isolation of native Dtpsy_1668 from Acidovorax ebreus
Direct comparison with recombinant versions
Complementation studies in knockout strains
Resolution Framework:
| Parameter | Approach | Expected Outcome |
|---|---|---|
| Protein purity | SDS-PAGE, mass spectrometry | Identification of contaminating proteins or truncations |
| Folding | CD, fluorescence, protease sensitivity | Determination of correctly folded species |
| Modifications | MS/MS, staining methods | Characterization of system-specific modifications |
| Function | Activity assays, binding studies | Identification of functionally competent preparations |
| Membrane integration | Reconstitution studies | Assessment of proper membrane incorporation |
This comprehensive approach would identify the source of contradictions and establish which expression system produces the most native-like protein for further structural and functional studies of Dtpsy_1668.
Based on current knowledge, several promising research directions could significantly advance understanding of Dtpsy_1668 and its role in Acidovorax ebreus biology:
Structural characterization:
Determination of high-resolution structure using cryo-EM or X-ray crystallography
Integration of computational predictions with experimental validation
Mapping of transmembrane topology and identification of functional domains
Functional genomics approaches:
Generation of knockout and complementation strains
Transcriptomic analysis under varied environmental conditions (aerobic/anaerobic, iron availability)
Global protein interaction studies to place Dtpsy_1668 in cellular networks
Connection to anaerobic iron oxidation:
Investigation of potential roles in the Fe(II) oxidation pathway of A. ebreus
Exploration of relationships with electron transport components
Studies of protein expression during active iron oxidation
Comparative biology:
Analysis of UPF0060 family proteins across diverse bacterial species
Correlation of sequence variations with ecological niches and metabolic capabilities
Identification of conserved features that might indicate function
Environmental adaptation mechanisms:
Examination of Dtpsy_1668 contribution to survival in complex environmental systems
Investigation of potential roles in stress response or adaptation
Studies of membrane dynamics in response to environmental changes