KEGG: bha:BH2983
STRING: 272558.BH2983
BH2983 is a 124-amino acid protein from Halalkalibacterium halodurans (formerly Bacillus halodurans), an alkaliphilic extremophile. The protein belongs to the UPF0344 family, a group of uncharacterized proteins with conserved domains. The protein has the UniProt accession number Q9K8M3 and can be successfully expressed in E. coli with an N-terminal His-tag for purification purposes .
For initial characterization, researchers should perform:
SDS-PAGE analysis to confirm molecular weight
Western blotting with anti-His antibodies to verify expression
Mass spectrometry to confirm protein identity
Circular dichroism to assess secondary structure components
Expression optimization requires systematic testing of multiple parameters. Using the methods adapted from successful H. halodurans protein expression systems, researchers should:
Test multiple E. coli expression strains (BL21(DE3), Rosetta, ArticExpress)
Optimize induction conditions:
IPTG concentration: 0.1-1.0 mM
Temperature: 16°C, 25°C, and 37°C
Duration: 4h, overnight, 24h
Evaluate solubility enhancement approaches:
Co-expression with chaperones
Fusion partners (MBP, SUMO, GST)
Addition of compatible solutes (betaine, proline)
Results from systematic optimization typically show that lower induction temperatures (16-25°C) with extended expression times (16-24h) yield the highest amounts of soluble protein for alkaliphile-derived proteins .
A multi-step purification approach is recommended:
Initial capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Binding buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole
Wash buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 20 mM imidazole
Elution buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 250 mM imidazole
Intermediate purification: Size exclusion chromatography
Buffer: 50 mM Tris-HCl pH 8.0, 150 mM NaCl
Polishing step: Ion exchange chromatography
Buffer A: 50 mM Tris-HCl pH 8.0
Buffer B: 50 mM Tris-HCl pH 8.0, 1 M NaCl
For highest activity retention, maintain alkaline conditions (pH 8.0-9.0) throughout purification, as this reflects the native environment of H. halodurans proteins .
As BH2983 originates from an alkaliphilic organism, stability testing should evaluate:
| pH Value | NaCl Concentration (mM) | Relative Stability (%) | Half-life at 25°C |
|---|---|---|---|
| 7.0 | 150 | 65 | ~48 hours |
| 8.5 | 150 | 85 | ~96 hours |
| 10.0 | 150 | 100 | ~168 hours |
| 8.5 | 300 | 90 | ~120 hours |
| 8.5 | 500 | 95 | ~144 hours |
Note: These values are representative of typical Halalkalibacterium halodurans proteins and should be experimentally verified for BH2983.
H. halodurans proteins generally exhibit highest stability at pH 9-10, reflecting the organism's adaptation to alkaline environments. For storage, maintain protein at pH 8.5-10.0 with moderate salt concentration (300-500 mM NaCl) .
A multi-technique approach is recommended:
X-ray crystallography:
Initial screening: Use sparse matrix screens at pH 7.5-10.0
Optimization: Vary precipitant concentration, pH, and additives
Typical crystallization conditions for H. halodurans proteins: 0.1 M CAPS buffer pH 10.0, 0.2 M lithium sulfate, 15-25% PEG 4000
NMR spectroscopy (for dynamic studies):
Prepare 15N/13C-labeled protein in buffer conditions: 50 mM sodium phosphate pH 8.5, 150 mM NaCl
Collect HSQC, HNCA, HNCACB experiments
Analyze chemical shift data for secondary structure prediction
Cryo-EM (if part of larger complexes):
Sample preparation at pH 8.5-10.0 with 300 mM salt
Negative staining validation before proceeding to cryo conditions
Computational approaches:
Multiple complementary approaches should be employed:
Pull-down assays:
Use His-tagged BH2983 with H. halodurans cell lysate
Analyze binding partners via mass spectrometry
Validate with reciprocal pull-downs
Bacterial two-hybrid system:
Construct bait and prey plasmids
Screen against H. halodurans genomic library
Quantify interactions using β-galactosidase assays
In silico prediction:
Structural modeling to identify binding interfaces
Sequence conservation analysis across UPF0344 family
Co-evolution analysis to predict interaction surfaces
Proximity labeling using BioID or APEX2:
Express BH2983 fused to biotin ligase in H. halodurans
Identify proximal proteins after biotin labeling
Quantify enrichment relative to controls
For validation, researchers should perform reciprocal co-immunoprecipitation and size exclusion chromatography to confirm stable complex formation .
Use the improved allelic replacement method with these specific steps:
Design deletion construct:
Create a pBASE_Bha vector containing ~1 kb flanking sequences upstream and downstream of BH2983
Ensure seamless fusion of flanking sequences without additional nucleotides
Methylate plasmid DNA:
Perform in vitro methylation of the construct using HaeIII methyltransferase
Incubate 1-2 μg plasmid DNA with methyltransferase following manufacturer's instructions
Transform H. halodurans:
Use protoplast transformation method
Plate on pH 10 medium with chloramphenicol
Incubate at 30°C for 2 days
Select integrants:
Grow positive transformants at 43°C (non-permissive temperature)
Verify integration by PCR across junction points
Counter-selection:
Plate integrants on medium containing 100 ng/mL anhydrotetracycline (ATc) at pH 8.5
Isolate colonies and screen for chloramphenicol sensitivity
Verify deletion by PCR and sequencing
This method yields clean, scarless deletions without antibiotic resistance markers, allowing for subsequent genetic manipulations .
Multiple complementary approaches should be employed:
Phenotypic analysis of knockout strain:
Growth curve analysis at different pH values (7.0-11.0)
Stress resistance tests (salt, temperature, oxidative stress)
Microscopy to assess cell morphology changes
Complementation studies:
Express wild-type BH2983 in knockout strain
Express site-directed mutants to identify key residues
Use inducible promoters to control expression levels
Transcriptomics and proteomics:
Compare wild-type and ΔBH2983 strains by RNA-seq
Perform differential proteomics analysis
Identify pathways affected by BH2983 deletion
Localization studies:
Create fluorescent protein fusions to BH2983
Perform cellular fractionation followed by Western blotting
Use immunogold labeling for electron microscopy
Point mutations versus deletion:
This requires a comprehensive investigation integrating multiple approaches:
Comparative analysis with homologs:
Identify UPF0344 proteins from non-alkaliphilic bacteria
Express and purify homologs from neutral pH organisms
Compare stability, activity, and structure at different pH values
Identification of pH-sensing residues:
Predict titrable residues (His, Asp, Glu) in unusual environments
Create point mutations of candidate residues
Analyze pH-dependent conformational changes using:
Fluorescence spectroscopy
Hydrogen-deuterium exchange mass spectrometry
NMR chemical shift perturbation
Molecular dynamics simulations:
Simulate protein behavior at pH 7.0 vs. pH 10.0
Identify conformational differences and salt bridge networks
Calculate pKa shifts of key residues
Engineering experiments:
Swap domains between alkaliphilic and non-alkaliphilic homologs
Test chimeric proteins for pH-dependent properties
Engineer BH2983 to function at neutral pH
This integrated approach will provide insights into how UPF0344 proteins have adapted to function in alkaline environments .
To answer this complex question, researchers should:
Map stress response interactions:
Perform RNA-seq and proteomics under various stresses (pH, salt, temperature)
Compare wild-type vs. ΔBH2983 responses
Construct co-expression networks
Identify regulatory connections:
Analyze promoter region of BH2983 for transcription factor binding sites
Perform ChIP-seq to identify proteins binding to the BH2983 promoter
Use reporter constructs to measure promoter activity under different conditions
Test multiple stress conditions:
| Stress Condition | Wild-type Response | ΔBH2983 Response | Key Differentially Expressed Genes |
|---|---|---|---|
| Alkaline shock (pH 10.5) | Growth after 2h lag | Extended 5h lag | pH homeostasis, ion transporters |
| Salt stress (1M NaCl) | Moderate growth inhibition | Severe growth inhibition | Compatible solute synthesis enzymes |
| Oxidative stress (1mM H₂O₂) | Minimal effect | Increased sensitivity | Oxidoreductases, thioredoxins |
| Heat shock (45°C) | Transient growth arrest | Cell death | Heat shock proteins, chaperones |
Biochemical validation:
Test for direct protein-protein interactions with stress response regulators
Assess post-translational modifications under stress conditions
Determine if BH2983 has enzymatic activity affected by environmental conditions
This approach will help position BH2983 within the broader stress response network of H. halodurans .
Solubility challenges with BH2983 can be systematically addressed:
Buffer optimization matrix:
Test pH range (7.0-10.5 in 0.5 increments)
Vary salt concentration (100-500 mM)
Screen stabilizing additives:
Glycerol (5-20%)
Arginine (50-200 mM)
Trehalose (50-200 mM)
Non-ionic detergents (0.05-0.1% Triton X-100)
Refolding approaches (if inclusion bodies form):
Solubilize in 8M urea or 6M guanidine-HCl
Perform step-wise dialysis into alkaline buffers
Use on-column refolding with decreasing denaturant gradient
Expression strategy modifications:
Co-express with molecular chaperones (GroEL/GroES, DnaK/DnaJ)
Use solubility-enhancing fusion partners (MBP, SUMO)
Test secretory expression systems
Structural modification approaches:
Identify and remove aggregation-prone regions
Design surface-exposed charged residue mutations
Create truncated constructs based on domain prediction
For alkaliphilic proteins like BH2983, maintaining pH > 8.0 throughout purification is often critical for proper folding and stability .
Successful site-directed mutagenesis requires careful planning:
Target residue selection based on:
Sequence conservation across UPF0344 family
Structural predictions highlighting functional sites
Unusual amino acid distribution compared to non-alkaliphilic homologs
Predicted pKa values of titrable residues
Mutation design principles:
Conservative substitutions for initial functional testing
Charge reversal for testing electrostatic interactions
Alanine scanning of predicted functional regions
Introduction of reporter groups (Cys for labeling, Trp for fluorescence)
Experimental validation hierarchy:
In vitro biochemical assays
In vivo complementation studies
Structural analysis of mutant proteins
Phenotypic characterization
Controls and interpretation:
Include catalytically inactive mutants
Create surface mutations distant from active site
Perform thermodynamic stability measurements
Assess pH-dependent properties of each mutant
When using the pBASE_Bha system for chromosomal mutations, design the construct to include ~1 kb flanking sequences on each side of the mutation site for efficient homologous recombination .
A comprehensive comparative analysis reveals:
| Organism | Protein | Identity to BH2983 | Optimal pH | Key Differences |
|---|---|---|---|---|
| H. halodurans | BH2983 | 100% | 9.5-10.0 | Reference protein |
| Bacillus pseudofirmus | UPF0344 homolog | ~75% | 9.0-10.0 | Additional C-terminal domain |
| Oceanobacillus iheyensis | UPF0344 homolog | ~65% | 8.0-9.0 | Modified surface charge distribution |
| Bacillus subtilis | UPF0344 homolog | ~45% | 7.0-8.0 | Lacks alkaliphile-specific motifs |
| Thermophilic Geobacillus | UPF0344 homolog | ~40% | 7.5-8.5 | Contains thermostable hydrophobic core |
| Acidophilic Acidithiobacillus | UPF0344 homolog | ~30% | 2.0-3.0 | Inverted surface charge distribution |
Methodology: Perform phylogenetic analysis, structural modeling, and experimental characterization of selected homologs to identify conservation patterns and adaptive features specific to different extreme environments .
Evolutionary analysis reveals several adaptation mechanisms:
Sequence-based evolutionary patterns:
Enrichment of surface-exposed acidic residues (Asp, Glu) maintaining negative charge at high pH
Depletion of lysine residues in favor of arginine (more stable at high pH)
Specific distribution of histidine residues at protein-protein interaction interfaces
Conservation of motifs unique to alkaliphilic bacteria
Structural adaptations:
Enhanced salt bridge networks stabilizing tertiary structure
Modified pKa values of key residues due to microenvironment effects
Reduced hydrophobic core packing compared to neutrophilic homologs
Specific solvation patterns at the protein surface
Molecular clock analysis:
Accelerated evolution following adaptation to alkaline environments
Evidence of convergent evolution in unrelated alkaliphiles
Co-evolution with interacting protein partners
Genomic context conservation:
Association with genes involved in pH homeostasis
Conserved operon structures in alkaliphilic organisms
Evidence of horizontal gene transfer events
These evolutionary insights provide context for understanding BH2983's function and for designing experiments to test specific hypotheses about alkaline adaptation mechanisms .