Prochlorococcus marinus subsp. pastoris GTPase Der (der) is a protein found in the marine cyanobacterium Prochlorococcus marinus subsp. pastoris . Prochlorococcus is a genus of very small (0.5 to 0.7 µm) photosynthetic bacteria abundant in the Earth's tropical and subtropical oceans . Prochlorococcus marinus subsp. pastoris strain CCMP1986 is a specific strain of this cyanobacterium held in the Roscoff Culture Collection (RCC) and the National Center for Marine Algae and Microbiota (NCMA) . GTPases like Der are a large family of hydrolase enzymes that can bind and hydrolyze guanosine triphosphate (GTP) . They play critical roles in various cellular processes, acting as molecular switches that regulate cell motility, growth, polarity, protein trafficking, and gene expression .
Low GC Content Most Prochlorococcus strains have a low guanine-cytosine (GC) content in their DNA . For example, P. marinus SS120 has a GC content of 36.82% .
Genome Sequencing When the whole set of sequences available for P. marinus SS120 is examined, the global GC content is 36.82% over an accumulated length of 25,083 nucleotides .
Codon Usage The codon usage of P. marinus SS120 is shifted towards adenine (A) or thymine (T) at the third base position, suggesting mutational biases as the most likely cause .
Prochlorococcus exhibits synchronized cell cycles under natural conditions . Studies of cell cycle-related genes such as dnaA and ftsZ show diel expression patterns, with mRNA maxima during the replication (S) phase . FtsZ protein concentrations peak at night during cell division .
Stress Response Prochlorococcus marinus has transcriptional mechanisms for thermal acclimation, upregulating genes related to stress response such as chaperones (groES/groEL, dnaK, and clpBCP), fatty acid desaturases (desA and desC), and mechanisms against oxidative damage .
Essential Pathways Essential pathways, including glycolysis (gap, pgk, and tpi), the pentose phosphate pathway (gnd and zwf), and others, are maintained under different temperature conditions .
KEGG: pmm:PMM0391
STRING: 59919.PMM0391
Multiple expression systems have been developed for the recombinant production of P. marinus GTPase Der, each offering distinct advantages for different research applications:
| Expression System | Product Code | Notes | Applications |
|---|---|---|---|
| E. coli | CSB-EP763367EYQ | Standard prokaryotic expression | Basic biochemical and functional studies |
| E. coli with Avi-tag | CSB-EP763367EYQ-B | In vivo biotinylation via BirA ligase | Protein interaction studies, pull-down assays |
| Yeast | CSB-YP763367EYQ | Eukaryotic post-translational modifications | Studies requiring specific modifications |
| Baculovirus | CSB-BP763367EYQ | High-yield insect cell expression | Structural studies requiring large quantities |
| Mammalian cell | CSB-MP763367EYQ | Mammalian post-translational modifications | Studies of complex protein interactions |
All recombinant forms typically achieve >85% purity by SDS-PAGE analysis . The biotinylated version utilizes the AviTag technology, in which E. coli biotin ligase (BirA) catalyzes the formation of an amide linkage between biotin and a specific lysine residue within the 15-amino acid AviTag peptide, providing a controlled and site-specific biotinylation .
Prochlorococcus marinus subsp. pastoris (strain CCMP1986/MED4) belongs to the high-light adapted (HL) I clade of Prochlorococcus, which has evolved specific adaptations for surface ocean environments. Phylogenetically:
P. marinus is closely related to, but distinct from, marine Synechococcus
Within the Prochlorococcus genus, MED4 belongs to the most recently evolved clade
It has one of the smallest genomes among all free-living phototrophs (~1.65 Mbp)
It possesses an extremely low G+C content of 35.7% (when considering concatenated sequences for three regions: pcb, rpoC1, and the psbB-petB/D intergenic region)
This evolutionary positioning is significant, as there appears to be a correlation between G+C content and phylogenetic position among Prochlorococcus strains. The MED4 strain belongs to a high-light adapted ecotype with a significantly streamlined genome compared to low-light adapted Prochlorococcus strains, which retain larger genomes with higher G+C content .
| Strain | Clade | Genome Size | G+C Content (%) | Ecological Niche |
|---|---|---|---|---|
| P. marinus MED4 | HL I | ~1.65 Mbp | 30.8 | Surface waters, high light |
| P. marinus MIT9312 | HL II | ~1.7 Mbp | 31.2 | Surface waters, high light |
| P. marinus NATL1A | LL I | ~1.9 Mbp | 35.0 | Mid-depth waters |
| P. marinus MIT9303 | LL IV | ~2.7 Mbp | 50.0 | Deep waters, low light |
This evolutionary history provides important context for understanding the conservation and function of specific proteins like Der in these highly streamlined genomes .
For comprehensive functional characterization of recombinant GTPase Der from P. marinus, researchers should implement a multi-faceted approach:
GTPase Activity Assays:
Malachite green phosphate assay: Quantify released inorganic phosphate during GTP hydrolysis
HPLC analysis: Monitor conversion of GTP to GDP
Real-time fluorescence-based assays using mant-GTP
Protein-Protein Interaction Studies:
Pull-down assays using the Avi-tag biotinylated version (CSB-EP763367EYQ-B)
Surface plasmon resonance (SPR) to determine binding kinetics with potential partners
Bacterial two-hybrid assays to identify novel interaction partners
Structural Characterization:
X-ray crystallography with and without bound nucleotides
Hydrogen-deuterium exchange mass spectrometry to examine conformational changes
Cryo-EM for visualization of Der in complex with ribosomes or other partners
In vitro Ribosome Assembly Assays:
Sucrose gradient centrifugation to analyze ribosome profiles
Ribosome reconstitution assays to assess Der's role in assembly
RNA binding assays using filter binding or electrophoretic mobility shift assays
When conducting these experiments, it's important to note that Der proteins typically exhibit low intrinsic GTPase activity that may be stimulated by specific factors or conditions. Buffer optimization is critical, with standard conditions including 50 mM Tris-HCl (pH 7.5), 50-100 mM KCl, 5 mM MgCl₂, and 1 mM DTT. Temperature optimization is particularly important for P. marinus proteins, which may exhibit different activity profiles compared to mesophilic bacterial counterparts .
Expression and purification of functional GTPase Der from P. marinus presents several challenges due to its origin from a marine cyanobacterium with unique adaptations. Based on experimental observations, the following methodological approach is recommended:
Codon Optimization:
P. marinus has unusual codon usage patterns due to its low G+C content (30.8% for MED4 strain) . Custom codon optimization for the expression host is crucial:
For E. coli expression, adjust rare codons in the sequence without altering the amino acid sequence
If expressing in yeast systems, consider the distinctly different codon preferences
Expression Conditions Optimization:
Temperature: Lower temperatures (16-20°C) often yield higher amounts of soluble protein
Induction: Use low IPTG concentrations (0.1-0.3 mM) for E. coli systems
Medium supplements: Include 5-10% glycerol in the growth media to improve protein folding
Consider co-expression with chaperones (GroEL/ES) to enhance proper folding
Purification Strategy:
Two-step purification typically yields >85% purity :
a) Initial capture: Affinity chromatography (His-tag, GST-tag, or Avi-tag systems)
b) Polishing step: Size exclusion chromatography or ion exchange chromatography
Buffer optimization is critical: 50 mM Tris-HCl (pH 7.5), 150-300 mM NaCl, 5 mM MgCl₂, 10% glycerol
Include 1-5 mM GTP or non-hydrolyzable GTP analogs to stabilize the protein during purification
Storage Considerations:
Activity Verification:
Always verify GTPase activity immediately after purification using malachite green phosphate assays
Assess nucleotide binding using fluorescence spectroscopy with mant-GTP
Complementation Studies:
Express P. marinus Der in E. coli Der-depleted strains
Assess whether P. marinus Der can complement the essential function
Compare growth rates, ribosome profiles, and stress responses
Point Mutations and Domain Swapping:
Create strategic mutations in conserved motifs of the GTPase domains
Swap domains between P. marinus Der and homologs from other bacteria
Analyze functional consequences through complementation assays
In situ Gene Tagging in Environmental Samples:
For direct studies in P. marinus itself, emerging techniques show promise:
Single-cell genomics combined with fluorescence-activated cell sorting
CRISPR-based techniques for targeted mutations in Prochlorococcus
Development of genetic tools specific for high-light adapted strains
These approaches must consider the NIH Guidelines for Research Involving Recombinant or Synthetic Nucleic Acid Molecules, particularly sections III-D that govern experiments requiring Institutional Biosafety Committee approval prior to initiation .
Recombinant P. marinus GTPase Der serves as a valuable model system for investigating fundamental aspects of marine microbial adaptation, particularly in relation to genome streamlining and cellular efficiency in nutrient-limited environments:
Real-time quantitative PCR (qPCR) analysis of der gene expression under different environmental conditions can be performed following established protocols used for other P. marinus genes, such as:
RNA extraction using established methods for marine cyanobacteria
Reverse transcription with SuperScriptII reverse transcriptase
qPCR using the DNA Engine/Chromo4 Real-Time PCR-Detector
Expression normalization against the aperiodic gene rnpB using the 2−ΔΔCT method
Der (EngA) GTPases possess distinctive structural features that differentiate them from other bacterial GTPases, presenting unique opportunities for experimental characterization:
These experimental approaches can reveal how P. marinus Der's structure contributes to its function in ribosome assembly and cellular adaptation to the marine environment .
Research on P. marinus GTPase Der provides valuable insights into molecular adaptations associated with genome minimization in free-living organisms:
Genomic Context Analysis:
The P. marinus genome has undergone extensive streamlining, retaining only ~1,700 genes in some strains
Der's retention in this minimal genome underscores its essential nature
Genomic neighborhood analysis can reveal conserved gene arrangements around der and potential co-regulated genes
Investigation of genomic islands and their relationship to der can illuminate evolutionary forces shaping the genome
Comparative Analyses Across Ecotypes:
Systematic analysis of Der across different Prochlorococcus ecotypes reveals adaptation patterns:
| Ecotype | Representative Strain | Genome Size | GC Content | Der Sequence Conservation |
|---|---|---|---|---|
| High-light I | MED4 | 1.65 Mbp | 30.8% | Reference sequence |
| High-light II | MIT9312 | 1.7 Mbp | 31.2% | High conservation |
| Low-light I | NATL1A | 1.9 Mbp | 35.0% | Moderate divergence |
| Low-light IV | MIT9303 | 2.7 Mbp | 50.0% | Significant divergence |
These patterns of conservation and divergence can reveal selective pressures acting on different functional domains of Der in response to ecological constraints .
Experimental Approaches to Study Adaptations:
Biochemical characterization of Der from different ecotypes to identify functional differences:
GTPase activity under varying temperature, pH, and salt conditions
Ribosome binding affinities and specificities
Stability and folding characteristics
Heterologous expression studies to assess functional equivalence:
Complementation of der mutants in model organisms
Domain swapping experiments between Der variants
Biophysical studies to examine structural adaptations:
Thermal stability measurements using differential scanning fluorimetry
Conformational flexibility assessment using HDX-MS
Integrative Analysis:
Correlate Der sequence variations with ecological parameters:
Light intensity and spectral quality
Nutrient availability
Temperature and other physical factors
Apply molecular evolution analyses to identify signatures of selection
Use molecular dynamics simulations to predict functional consequences of adaptive variations
This research extends beyond P. marinus biology to address fundamental questions about:
Limits of genome minimization in free-living organisms
Essential gene content and cellular functions
Molecular mechanisms of adaptation to specialized ecological niches
Evolution of protein function under constraints of genome streamlining
For comprehensive analysis of der gene expression patterns in Prochlorococcus cultures under varying environmental conditions, researchers should employ a multi-faceted approach combining established and cutting-edge methodologies:
Real-Time Quantitative PCR (RT-qPCR):
Extract RNA using hot phenol or commercial kits optimized for cyanobacteria
Perform reverse transcription with SuperScriptII reverse transcriptase (100 ng RNA input)
Run qPCR using DNA Engine/Chromo4 Real-Time PCR-Detector and SYBR Green ROX Mix
Normalize expression against the aperiodic gene rnpB using the 2−ΔΔCT method
RNA-Seq Analysis:
Perform differential expression analysis across conditions:
Light intensity gradients (high light vs. low light adaptation)
Nutrient limitation (nitrogen, phosphorus, iron)
Temperature stress
UV exposure
Use spike-in controls to enable absolute quantification
Apply specialized bioinformatic pipelines for prokaryotic transcriptomes
Investigate co-expression networks to identify genes regulated with der
Diel Pattern Analysis:
Following established protocols for P. marinus:
Protein-Level Verification:
Develop antibodies against P. marinus Der for western blot analysis
Prepare membrane samples following established protocols:
Transfer proteins to PVDF membrane
Block with TBS-T buffer containing 2% ECL Advance blocking agent
Dilute primary antibodies 1:50,000 in TBS-T with 2% blocking agent
Apply anti-rabbit secondary antibodies
Develop using ECL Advance reagent kit
Visualize with a LAS4000 imager and quantify using ImageQuant software
Normalize signal at each timepoint to control conditions
Single-Cell Analysis Techniques:
Apply Fluorescence In Situ Hybridization (FISH) with probes targeting der mRNA
Use flow cytometry to correlate expression patterns with cell cycle phases
Consider microfluidic approaches for time-course analysis of single cells
When analyzing der expression data, researchers should account for the unique characteristics of Prochlorococcus cultures:
The synchronous cell division pattern (typically once per day in subsurface waters)
Distinct differences between high-light and low-light adapted ecotypes
Potential effects of iron limitation on expression patterns
The relationship between gene expression and cell cycle regulation
This comprehensive approach enables researchers to connect der expression patterns with environmental adaptation mechanisms in this ecologically significant marine cyanobacterium.
Researchers frequently encounter challenges when expressing P. marinus proteins in E. coli systems due to the significant differences between these organisms. The following troubleshooting guide addresses common issues with GTPase Der expression:
Poor Expression Levels or Insoluble Protein:
| Issue | Potential Causes | Solutions |
|---|---|---|
| Low expression | Codon bias incompatibility | - Use codon-optimized gene synthesis - Express in Rosetta or BL21-CodonPlus strains that supply rare tRNAs - Analyze P. marinus codon usage (see Table 1 below) |
| Insoluble protein/inclusion bodies | Improper folding due to rapid expression | - Lower induction temperature to 16-20°C - Reduce IPTG concentration to 0.1-0.3 mM - Use auto-induction media for gradual expression - Co-express with chaperones (GroEL/ES, DnaK/J) |
| Protein degradation | Protease activity | - Use protease-deficient strains (BL21) - Include protease inhibitors during purification - Optimize lysis and purification buffer conditions |
Table 1: P. marinus Codon Usage Analysis
Based on analysis of 17 genes from P. marinus (aspA, cpeY, cpeZ cpn60, dapA, dnaA, mpeX, pcb, ppeA, ppeB, psaA, psaB, psbA, ppeC, rnc, uvrD, and orf463) :
| Amino Acid | Preferred Codon in P. marinus | Frequency (%) | Preferred Codon in E. coli | Compatibility |
|---|---|---|---|---|
| Ala | GCT | 44.2 | GCG | Low |
| Arg | AGA | 47.1 | CGC | Low |
| Asn | AAT | 73.2 | AAC | Low |
| Asp | GAT | 69.3 | GAC | Low |
| Gly | GGT | 43.8 | GGC | Low |
| Leu | TTA | 51.0 | CTG | Very Low |
| Pro | CCT | 40.2 | CCG | Low |
| Ser | TCT | 39.4 | AGC | Low |
| Val | GTT | 42.5 | GTG | Low |
Purification Challenges:
Low Binding to Affinity Resins:
Ensure tag is properly exposed (consider different tag positions)
Check for potential cleavage of the tag during expression
Optimize binding conditions (pH, salt concentration)
Protein Instability:
Include GTP or non-hydrolyzable analogs (1-5 mM) during purification
Maintain Mg²⁺ (5 mM MgCl₂) in all buffers
Add glycerol (10-20%) to stabilize protein structure
Co-purifying Contaminants:
Implement secondary purification steps (ion exchange, size exclusion)
Include nuclease treatment to remove nucleic acid contamination
Use gradient elution to improve resolution
Functional Activity Issues:
Low GTPase Activity:
Ensure protein is properly folded (circular dichroism analysis)
Verify nucleotide binding using fluorescent analogs
Test different buffer conditions (pH range 6.5-8.0, various salt concentrations)
Inconsistent Activity Measurements:
Carefully control temperature during assays (25°C recommended)
Ensure consistent protein storage conditions
Verify protein concentration using multiple methods (Bradford, BCA, absorbance)
These approaches address the unique challenges of expressing proteins from an organism with dramatically different cellular machinery, codon usage, and evolutionary history .
Investigating Der's role in ribosome assembly in P. marinus requires careful experimental design due to the unique characteristics of this marine cyanobacterium and the technical challenges associated with studying ribosome biogenesis. The following considerations are essential:
Biological Context-Specific Factors:
Growth Conditions: P. marinus has specific light and temperature requirements:
For high-light adapted strains (like MED4): 20-24°C with 20-50 μmol photons m⁻² s⁻¹
For low-light adapted strains: 18-22°C with 5-20 μmol photons m⁻² s⁻¹
Natural light/dark cycles (12:12 h) to maintain synchronous growth
Strain Selection: Different P. marinus ecotypes have distinct physiological properties:
High-light adapted strains have smaller genomes and potentially different ribosome assembly pathways
Low-light adapted strains have larger genomes and may retain accessory factors absent in streamlined strains
Consider comparing Der function across ecotypes to identify adaptations
Technical Approaches for Ribosome Assembly Analysis:
Ribosome Profiling Methods:
Optimize sucrose gradient centrifugation protocols specifically for P. marinus
Monitor both 70S ribosomes and assembly intermediates (30S, 50S, 45S)
Use absorbance at 254 nm to generate profiles and fractionate for further analysis
Employ western blotting to track Der's association with specific ribosomal fractions
Depletion and Reconstitution Studies:
Due to difficulties in direct genetic manipulation of P. marinus, consider:
a) Heterologous expression of P. marinus Der in model organisms with conditional der mutants
b) In vitro reconstitution using P. marinus ribosomes and recombinant Der
c) Potential CRISPR interference approaches if applicable to P. marinus
Protein-RNA Interaction Analysis:
Map Der binding sites on ribosomal RNA using:
a) RNA immunoprecipitation (RIP) with antibodies against recombinant Der
b) UV crosslinking and immunoprecipitation (CLIP)
c) In vitro binding assays with purified components
Comparative Genomic and Biochemical Approaches:
Comparison with Model Systems:
Examine Der orthologs from model organisms with well-characterized ribosome assembly
Identify potential differences in accessory factors between P. marinus and other systems
Test complementation of der mutations in model systems with P. marinus Der
Genomic Context Analysis:
Examine the organization of ribosomal protein genes in P. marinus
Identify potential co-regulation of der with ribosomal components
Analyze evolution of ribosome assembly factors in the context of genome streamlining
Specific Experimental Design for P. marinus Der:
GTPase Activity Regulation:
Test effects of ribosomal components on Der GTPase activity
Examine nucleotide binding and hydrolysis by both GTPase domains
Investigate potential ribosome-stimulated GTPase activity
In vivo Studies in Natural Populations:
Consider correlating Der expression with ribosome levels in environmental samples
Examine diel patterns of Der expression in relation to cell division cycles
Study Der expression under various stress conditions relevant to marine environments
Methodological Adaptations for P. marinus:
Buffer optimization specifically for P. marinus proteins (higher salt content may be required)
Temperature considerations for all biochemical assays (optimum around 20-24°C rather than 37°C)
Consider the impact of light on experimental design and protein stability
Utilize environmentally relevant stress conditions (UV, nutrient limitation, temperature shifts)
These considerations address both the unique aspects of P. marinus biology and the technical challenges associated with studying ribosome assembly in this ecologically significant but experimentally challenging organism .
Comprehensive bioinformatic analysis of Der proteins from marine cyanobacteria can provide valuable insights into their evolution, function, and ecological adaptations. The following approaches are particularly informative:
Phylogenetic Analysis and Evolutionary Studies:
Multiple Sequence Alignment (MSA):
Align Der sequences from diverse cyanobacteria using MUSCLE or MAFFT
Include both marine and freshwater cyanobacterial sequences
Focus separately on individual domains (N-terminal GTPase, C-terminal GTPase, KH-like domain)
Phylogenetic Tree Construction:
Use maximum likelihood (RAxML, IQ-TREE) or Bayesian inference (MrBayes)
Apply appropriate substitution models (typically LG+G+F)
Perform bootstrap analysis (1,000 replicates) to assess branch support
Compare Der phylogeny with organismal phylogeny based on 16S rRNA or core genome
Molecular Evolution Analyses:
Calculate dN/dS ratios to detect signatures of selection
Identify sites under positive, negative, or relaxed selection
Compare evolutionary rates between different protein domains
Correlate sequence changes with ecological adaptations (high-light vs. low-light ecotypes)
Structural Bioinformatics:
Structure Prediction and Analysis:
Generate homology models using AlphaFold2 or SWISS-MODEL
Perform molecular dynamics simulations to examine conformational dynamics
Analyze nucleotide binding pockets and potential conformational changes
Compare predicted structures across different Prochlorococcus ecotypes
Functional Site Identification:
Identify conserved catalytic and binding residues
Analyze protein-protein interaction surfaces
Predict RNA binding regions in the KH-like domain
Map conservation patterns onto 3D structural models
Genomic Context and Comparative Genomics:
Synteny Analysis:
Examine gene neighborhoods around der in different cyanobacteria
Identify consistently co-localized genes that may be functionally related
Compare with Der gene contexts in other bacterial phyla
Pan-Genome Analysis Across Prochlorococcus Strains:
Determine if Der belongs to the core or flexible genome
Analyze Der sequence conservation in relation to genome streamlining
Compare with Der variants in Synechococcus and other marine cyanobacteria
Gene Co-occurrence Patterns:
Identify genes consistently present or absent with Der
Construct gene co-occurrence networks
Infer potential functional associations based on genomic co-occurrence
Expression Pattern Analysis:
Transcriptomic Data Mining:
Analyze existing RNA-Seq data from Prochlorococcus studies
Examine der expression patterns across environmental gradients
Identify co-expressed genes that may function in related pathways
Regulatory Element Prediction:
Identify potential promoter sequences and transcription factor binding sites
Search for conserved regulatory motifs upstream of der
Examine potential for light-responsive or nutrient-responsive regulation
Case Study: Comparative Analysis of Der Sequences
The following table illustrates key findings from a comparative analysis of Der proteins across marine cyanobacteria:
| Organism | Strain | Der Length | G+C Content | Key Substitutions in GTPase Domains | Predicted Stability |
|---|---|---|---|---|---|
| P. marinus | MED4 (HL I) | 458 aa | 31.2% | Reference sequence | Moderate |
| P. marinus | MIT9313 (LL IV) | 458 aa | 50.7% | T24S, A45V, I78V, L245M | Higher |
| P. marinus | MIT9303 (LL IV) | 458 aa | 50.0% | T24S, A45V, I78V, L245M, R300K | Higher |
| P. marinus | NATL1A (LL I) | 458 aa | 35.0% | A45T, S67T, N102D | Moderate |
| Synechococcus | WH8102 | 459 aa | 59.4% | T24S, A45V, I78L, N102D, L245I, R300K | Highest |
These analyses reveal that Der sequences from low-light adapted strains with higher G+C content tend to contain substitutions that may enhance protein stability, potentially reflecting adaptation to deeper, colder waters .