Function is currently unknown. The protein exhibits similarity to PsbF, a photosystem II reaction center subunit. However, a key difference is the presence of asparagine instead of histidine at the heme-binding site in PsbF.
KEGG: pma:Pro_1494
STRING: 167539.Pro1494
The PsbF-like protein (Pro_1494) has the following properties:
| Property | Description |
|---|---|
| Length | 96 amino acids |
| Amino Acid Sequence | MVLKTLIVIAPILIAAFSTIFWLSYWGVFKWEDNQLGFENYQDWEDSGVIPENRPKGGYPVFTVRTLAVNALGIPTVFFLGAIFAMQFVRRGIFIA |
| Storage Buffer | Tris-based buffer, 50% glycerol |
| Recommended Storage | -20°C for extended storage; 4°C for up to one week (working aliquots) |
| Expression Region | 1-96 (full-length protein) |
Analysis of its amino acid sequence suggests hydrophobic regions consistent with membrane proteins, supporting its predicted role in the thylakoid membrane-embedded photosystem complex .
Methodological approach: Structural characterization can be advanced through:
Circular dichroism spectroscopy to determine secondary structure content
NMR spectroscopy for solution structure determination
X-ray crystallography, though this may be challenging for membrane proteins
Molecular modeling based on homologous proteins with known structures
Prochlorococcus marinus strains exhibit unique genomic characteristics that likely influence the evolution of photosynthetic components like Pro_1494. Most strains have a distinctly low G+C content compared to related cyanobacteria:
| Organism | G+C Content |
|---|---|
| P. marinus SS120 | 36.82% |
| Marine Synechococcus | 47.4-69.5% |
| P. marinus MIT9303 | 55% (at third codon positions) |
This unusual base composition results in codon usage shifted toward A or T at the third base position (T>A>C>G), suggesting mutational biases as the likely cause . This genomic adaptation may influence Pro_1494's sequence evolution compared to homologous proteins in other cyanobacteria.
Methodological approach: Evolutionary analysis should include:
Phylogenetic reconstruction using maximum likelihood methods
Selection pressure analysis using dN/dS ratios
Ancestral sequence reconstruction to trace evolutionary changes
Correlation of sequence variations with ecological adaptations of different Prochlorococcus ecotypes
While the search results don't directly address Pro_1494's interactions, research on related photosystem proteins provides valuable methodological insights. For example, studies on PsbQ showed it interacts with and stabilizes PsbV (cytochrome c550) within the PSII complex .
Methodological approach: To investigate Pro_1494's interactions:
Create a strain expressing histidine-tagged Pro_1494 to isolate associated complexes
Compare the protein composition and activity of these complexes with those purified using other tagged components
Analyze interaction partners through techniques like:
Co-immunoprecipitation with antibodies specific to Pro_1494
Crosslinking coupled with mass spectrometry
Blue native PAGE to isolate intact complexes
Yeast two-hybrid screening or bacterial two-hybrid systems adapted for membrane proteins
Similar to the approach used for PsbQ in the referenced study, where "using a strain of Synechocystis 6803 that expresses a histidine-tagged version of the PsbQ protein, we show it is possible to purify active PSII complexes" .
Given Pro_1494's properties as a likely membrane protein from an organism with unusual codon usage, special considerations are necessary for successful expression and purification:
Methodological approach:
Expression system selection:
Consider codon optimization for the expression host, accounting for P. marinus' low G+C content
Test multiple expression systems (E. coli, yeast, insect cells) to identify optimal yield
Use specialized vectors designed for membrane proteins
Include fusion tags to aid in solubility and purification
Expression conditions:
Optimize induction temperature (often lowered to 16-20°C for membrane proteins)
Test various induction times and inducer concentrations
Consider using specialized E. coli strains that supply rare tRNAs
Purification strategy:
Solubilize with appropriate detergents (DDM, LDAO, or other mild detergents)
Implement affinity chromatography using the fusion tag
Add a size exclusion chromatography step for final purification
Consider stability-enhancing additives in buffers
Quality control tests:
Assessing the functional activity of a recombinant photosystem protein requires specialized approaches that examine both its individual properties and its role within the photosynthetic complex.
Methodological approach:
Integration into photosystem complexes:
In vitro reconstitution with purified photosystem components
Complementation of Pro_1494-deficient mutants with the recombinant protein
Analysis of complex formation using blue native PAGE
Functional assays:
Oxygen evolution measurements of reconstituted complexes
Chlorophyll fluorescence analysis to assess photosystem efficiency
Electron transport measurements
Thermostability assays to determine if Pro_1494 enhances complex stability
Comparative analysis:
Compare activity between wild-type and Pro_1494-depleted photosystems
Analyze activity across different Pro_1494 mutants to identify critical residues
Investigate the protein's role under different stress conditions (high light, temperature, etc.)
This approach is similar to the one used for PsbQ-associated PSII complexes, which demonstrated "higher rates of oxygen-evolution activity compared with CP47-tagged PSII" .
Researching novel photosystem components often produces seemingly contradictory results due to the complex nature of photosynthetic machinery and varying experimental conditions.
Methodological approach:
Computational tools can provide valuable insights into Pro_1494's properties when direct experimental data is limited.
Methodological approach:
Sequence analysis:
Multiple sequence alignment with homologous proteins
Domain prediction using tools like SMART, Pfam, and InterPro
Transmembrane region prediction with TMHMM or Phobius
Signal peptide analysis with SignalP
Structural prediction:
Homology modeling using PsbF structures from other organisms
Ab initio modeling for regions without templates
Molecular dynamics simulations in membrane environments
Protein-protein docking to predict interactions with other photosystem components
Functional prediction:
Ligand binding site prediction
Conserved residue analysis to identify functionally important sites
Coevolution analysis to identify interaction interfaces
Network analysis of potential protein-protein interactions
Prochlorococcus is notable for its ecological success across diverse marine environments, and understanding how photosystem components like Pro_1494 contribute to this adaptation offers promising research avenues.
Methodological approach:
Comparative ecotype analysis:
Compare Pro_1494 sequences across Prochlorococcus ecotypes adapted to different light regimes
Correlate sequence variations with ecological niche parameters
Perform reciprocal gene replacements between ecotypes to test adaptive hypotheses
Climate change response studies:
Investigate Pro_1494's role in adaptation to changing ocean conditions
Analyze responses to multiple stressors (temperature, pH, light intensity)
Develop predictive models for photosystem adaptation under future climate scenarios
Applied research potential:
Explore whether Pro_1494's properties could inform design of artificial photosynthetic systems
Investigate biotechnological applications of stress-adapted photosystem components
Consider Pro_1494's potential contribution to enhanced carbon fixation strategies
Recent advances in structural biology techniques offer new opportunities to resolve the position and interactions of Pro_1494 within the photosystem complex.
Methodological approach:
Cryo-EM specific strategies:
Purify intact photosystem complexes containing Pro_1494
Apply focused classification methods to deal with structural heterogeneity
Use nanodiscs or amphipols to maintain native-like membrane environment
Implement particle subtraction techniques to enhance local resolution
Integrative structural biology:
Combine cryo-EM with crosslinking mass spectrometry
Validate structural models with FRET measurements
Use hydrogen-deuterium exchange mass spectrometry to map interaction interfaces
Implement computational refinement of structures using molecular dynamics
Functional interpretation:
Correlate structural features with spectroscopic measurements
Design site-directed mutagenesis based on structural insights
Model electron and energy transfer pathways based on component arrangements