Recombinant Acinetobacter sp. 30S ribosomal protein S14 (rpsN) is a recombinant form of the ribosomal protein S14, a component of the bacterial 30S ribosomal subunit. This protein is essential for ribosome assembly, translation fidelity, and bacterial survival. In bacteria, S14 belongs to the universal ribosomal protein uS11 family and plays a structural role in the decoding center of the ribosome, facilitating tRNA binding and peptide bond formation .
Ribosome Stability: S14 stabilizes the 30S subunit and interacts with other ribosomal proteins (e.g., S2, S3) to maintain translational activity .
Translational Regulation: Mutations or structural changes in S14 can disrupt ribosome assembly and reduce polysome formation, impairing global protein synthesis .
Evolutionary Adaptation: S14 variants (e.g., zinc-binding vs. non-zinc-binding motifs) have evolved to optimize bacterial survival under stress conditions, such as zinc-limited environments .
Structural Impact: S14 deletion or heterologous substitution (e.g., Bacillus subtilis S14 replaced with E. coli or Synechococcus elongatus variants) disrupts 30S subunit assembly, reducing polysome levels and translational efficiency .
Protein Interactions: S14 interacts with S2, S3, and S5 in the 30S subunit. Disruption of these interactions (e.g., via heterologous S14) decreases S2/S3 abundance and impairs ribosome function .
Zinc-Limited Environments: C− variants of S14 (lacking zinc-binding motifs) are hypothesized to reduce zinc dependency, enhancing bacterial survival in zinc-deficient niches .
Pathogenicity: In Bordetella pertussis, mutations in ribosomal operons (e.g., upstream of rplN-rpsD) downregulate virulence factors while promoting persistence in host cells, suggesting ribosomal protein regulation may modulate pathogenic strategies .
EGS Technology: Ribonuclease P (RNase P), which processes pre-tRNA, has been explored for targeting bacterial genes via external guide sequences (EGS). While not directly involving S14, RNase P’s activity in Acinetobacter highlights ribosomal proteins as potential therapeutic targets .
Antibiotic Resistance: Acinetobacter spp. employ β-lactamases (e.g., bla OXA-23) and efflux pumps for resistance. S14’s role in translation may indirectly influence antibiotic efficacy by affecting protein synthesis .
| Parameter | Value | Source |
|---|---|---|
| Expression Host | E. coli | |
| Purity | >85% (SDS-PAGE) | |
| Activity | Not explicitly reported (inferred from structural homology) | |
| Sequence Identity | 1–89 aa (full-length) |
Limited Acinetobacter-Specific Data: Most studies focus on E. coli, Bacillus, or Streptococcus. Direct research on Acinetobacter rpsN is sparse.
Functional Assays: No published in vitro or in vivo activity data for Acinetobacter rpsN, limiting mechanistic insights.
Structural Studies: Cryo-EM or X-ray crystallography to elucidate S14’s role in Acinetobacter ribosome architecture.
Pathogenicity Links: Investigate S14’s interaction with virulence factors or antibiotic resistance genes in Acinetobacter.
Therapeutic Applications: Explore EGS-based targeting of S14 or RNase P in Acinetobacter to disrupt translation .
KEGG: aci:ACIAD3206
STRING: 62977.ACIAD3206
The 30S ribosomal protein S14, encoded by the rpsN gene, serves several critical functions in Acinetobacter species. Primarily, this protein binds to 16S rRNA and is essential for the proper assembly of 30S ribosomal subunits . Research indicates that rpsN likely plays a crucial role in determining the conformation of the 16S rRNA at the A site, which is fundamental for accurate tRNA positioning during translation . This protein belongs to the universal ribosomal protein uS14 family, underscoring its evolutionary conservation and functional importance across bacterial species .
The rpsN gene exhibits considerable conservation across Acinetobacter species, reflecting its essential role in ribosomal function. Sequence analysis demonstrates that while there are minor variations in the gene sequence, the functional domains of rpsN remain highly preserved across the genus . This conservation is particularly evident within the Acinetobacter calcoaceticus–Acinetobacter baumannii (Acb) complex, which includes clinically significant species such as A. baumannii, A. pittii, A. nosocomialis, and A. calcoaceticus .
The conservation pattern of rpsN reflects evolutionary pressure to maintain ribosomal functionality while allowing for species-specific adaptations. While the exact sequence identity percentages across all Acinetobacter species are not provided in the search results, the consistent annotation and description of rpsN across multiple species in database entries suggest substantial conservation of this gene .
Accurate identification of Acinetobacter species expressing the rpsN gene requires sophisticated molecular approaches, as phenotypic methods often lack sufficient discriminatory power. Based on comparative studies, the following methodological hierarchy has been established:
rpoB gene sequencing has demonstrated superior discriminatory power for Acinetobacter species identification, particularly within the closely related Acb complex . The interspecies diversity of rpoB sequences provides reliable differentiation between species, with interspecies similarities ranging from 84.8% to 95.6% .
16S rRNA gene sequencing offers reliable identification at the genus level but shows limited resolution at the species level, especially within the Acb complex where sequence similarities are exceptionally high .
Phenotypic identification methods (VITEK 2, VITEK MS) provide inconsistent results compared to genotypic methods and are generally less reliable for accurate species determination .
blaOXA-51-like gene detection serves as a reliable genetic marker specifically for A. baumannii identification, as this gene is absent in non-A. baumannii isolates .
For researchers specifically interested in studying rpsN, a multifaceted approach combining rpoB gene sequencing for species identification followed by rpsN-specific PCR amplification and sequencing would provide the most comprehensive characterization.
Working with recombinant rpsN protein from Acinetobacter species presents several experimental challenges that researchers should anticipate and address:
Protein solubility issues: Ribosomal proteins like rpsN often have highly charged surfaces designed for RNA interactions, which can lead to aggregation when expressed recombinantly without their natural RNA binding partners.
Maintaining native conformation: Ensuring that recombinant rpsN adopts its native structure is crucial, particularly when the protein is expressed outside its normal ribosomal context.
Species differentiation: Accurately distinguishing between closely related Acinetobacter species is essential when studying species-specific variations in rpsN function or expression .
Functional validation: Developing appropriate assays to confirm that recombinant rpsN retains its natural RNA-binding and ribosome assembly capabilities.
Contamination concerns: Acinetobacter species, particularly those within the Acb complex, are clinically significant pathogens that may carry antibiotic resistance genes, necessitating appropriate biosafety measures .
Addressing these challenges requires careful optimization of expression systems, purification protocols, and functional validation approaches specific to ribosomal proteins.
Investigating the interaction between rpsN and 16S rRNA requires sophisticated experimental approaches that can capture both structural and functional aspects of this relationship. The following methodological framework is recommended:
Experimental Design Table for rpsN-16S rRNA Interaction Studies:
| Method | Application | Advantages | Limitations | Data Analysis Approach |
|---|---|---|---|---|
| RNA-Protein Binding Assays (EMSA, Filter Binding) | Quantify binding affinity and kinetics | Relatively simple, quantitative | Limited structural information | Kd determination, Hill coefficient analysis |
| Chemical Crosslinking with MS Analysis | Identify specific contact points | Maps interaction sites at amino acid resolution | May introduce artifacts | MS/MS fragment analysis, residue identification |
| Cryo-EM | Visualize the complete ribosomal complex | Near-atomic resolution of the entire assembly | Requires specialized equipment | 3D reconstruction, density map interpretation |
| Site-Directed Mutagenesis | Test functional importance of specific residues | Direct cause-effect relationship | Labor-intensive | Comparative binding assays, functional studies |
| In vivo Complementation | Validate physiological relevance | Tests function in cellular context | Indirect measure of interaction | Growth curve analysis, ribosome profiling |
For optimal results, researchers should employ multiple complementary approaches. Initial in silico analysis of predicted interaction sites based on homology models can guide the design of targeted mutagenesis experiments. This should be followed by in vitro binding studies and structural analysis, with final validation in cellular systems.
Investigating species-specific variations in rpsN expression requires careful consideration of both species identification and gene expression analysis. The following comprehensive approach is recommended:
Accurate Species Identification:
Implement rpoB gene sequencing for definitive species identification within the Acinetobacter genus .
Verify species identity using multiple genetic markers, including potentially blaOXA-51-like gene presence for A. baumannii .
Construct phylogenetic trees to visualize relationships between studied isolates.
Expression Analysis Strategy:
Design species-specific primers for rpsN based on sequence alignments from verified strains.
Validate primer specificity against a panel of well-characterized Acinetobacter species.
Utilize RT-qPCR with appropriate reference genes validated for each Acinetobacter species.
Consider RNA-Seq for comprehensive transcriptomic comparison across species.
Experimental Controls:
Include reference strains for each species under investigation.
Normalize expression data to multiple reference genes to ensure accurate quantification.
Control for growth phase and environmental conditions that may influence ribosomal protein expression.
Statistical Analysis:
Apply appropriate statistical methods to assess significance of expression differences.
Consider hierarchical clustering to identify patterns of expression across species.
Correlate expression data with physiological or clinical parameters of interest.
This integrated approach accounts for the taxonomic complexity of Acinetobacter while providing robust expression data that can be meaningfully interpreted across species.
The relationship between rpsN mutations and antibiotic resistance in Acinetobacter species represents an important research area, particularly given the clinical significance of these pathogens. The potential mechanisms and experimental approaches include:
Mechanistic Relationships:
Mutations in rpsN may alter the binding sites for antibiotics that target the 30S ribosomal subunit, particularly aminoglycosides.
Conformational changes in the A site of 16S rRNA, which is influenced by rpsN, could affect translation accuracy and antibiotic efficacy.
Species-specific effects may exist, as non-A. baumannii isolates demonstrate significantly lower resistance rates to carbapenems (2.6%) compared to A. baumannii isolates .
Experimental Approaches:
Site-directed mutagenesis to introduce specific mutations identified in resistant clinical isolates.
Minimum inhibitory concentration (MIC) determination for various antibiotics across wild-type and mutant strains.
Ribosome profiling to assess translation accuracy and efficiency in mutant strains.
Structural studies to visualize how mutations affect antibiotic binding.
Analysis Framework:
Correlate specific rpsN mutations with resistance profiles across clinical isolates.
Assess the impact of mutations on bacterial fitness and growth rates.
Determine whether mutations affect resistance to multiple antibiotic classes or show specificity.
Understanding the relationship between rpsN mutations and antibiotic resistance could potentially inform new therapeutic strategies targeting ribosomal function in multidrug-resistant Acinetobacter species.
For high-resolution studies of the structure-function relationship of rpsN, researchers should consider a complementary suite of advanced structural biology techniques:
| Technique | Resolution | Application for rpsN Research | Technical Considerations |
|---|---|---|---|
| Cryo-Electron Microscopy | Near-atomic (2-4 Å) | Visualize rpsN within the intact ribosome; capture different functional states | Requires specialized equipment; sample preparation critical |
| X-ray Crystallography | Atomic (1-3 Å) | Detailed structure of isolated rpsN or in complex with RNA fragments | Crystallization can be challenging; static snapshots only |
| NMR Spectroscopy | Atomic with dynamics | Solution dynamics and RNA interactions of rpsN | Size limitations; isotopic labeling required |
| Hydrogen-Deuterium Exchange MS | Medium (peptide level) | Mapping protein-RNA interaction surfaces; conformational changes | No crystallization needed; indirect structural information |
| Single-Molecule FRET | Low (distance measurements) | Real-time observation of dynamic conformational changes | Requires fluorescent labeling; limited to specific sites |
| Molecular Dynamics Simulations | Atomic with dynamics | Model dynamics and predict mutation effects | Computational resource-intensive; requires validation |
A comprehensive structural investigation would ideally combine multiple methods. For example, high-resolution static structures from Cryo-EM or X-ray crystallography could be complemented by dynamic information from NMR or smFRET, with computational modeling bridging any gaps and generating testable hypotheses about structure-function relationships.
Investigating the role of rpsN in determining ribosomal A site conformation requires careful experimental design:
Structure-Based Mutagenesis Approach:
Identify rpsN residues that interact with the A site region of 16S rRNA based on structural data.
Design a systematic mutagenesis strategy targeting:
a) Residues directly contacting 16S rRNA
b) Residues involved in protein-protein interactions with neighboring ribosomal proteins
c) Conserved vs. variable residues across Acinetobacter species
Express and purify mutant proteins for in vitro reconstitution studies.
RNA Structure Analysis:
Implement chemical probing techniques (SHAPE, DMS) to assess conformational changes in 16S rRNA.
Compare accessibility patterns of the A site region in:
a) Wild-type ribosomes
b) Ribosomes with mutant rpsN
c) Ribosomes lacking rpsN (if viable)
Map structural changes to functional domains within the A site.
Functional Translation Assays:
Develop reporter systems to quantify translation fidelity with wild-type vs. mutant rpsN.
Measure:
a) Misincorporation rates at specific codons
b) Frameshifting frequency
c) Stop codon readthrough efficiency
Correlate functional defects with structural alterations.
Randomized Block Design for Controlling Variables:
Implement a randomized block design as described in experimental design literature to control for variables .
Block factors should include:
a) Protein preparation batch
b) RNA preparation batch
c) Experimental day
Analysis of variance (ANOVA) can then be used to assess significance while accounting for these blocking factors.
This comprehensive experimental approach combines structural, biochemical, and functional analyses to establish causal relationships between rpsN sequence, A site conformation, and ribosomal function in Acinetobacter species.
Optimizing expression and purification of recombinant Acinetobacter sp. rpsN requires careful consideration of expression systems, growth conditions, and purification strategies:
Expression System Selection:
E. coli BL21(DE3) typically provides high yields for ribosomal proteins.
Consider codon optimization based on the specific Acinetobacter species source.
Fusion tags (His6, MBP, GST) can enhance solubility and facilitate purification.
Expression Optimization Table:
| Parameter | Recommended Range | Rationale | Monitoring Method |
|---|---|---|---|
| Temperature | 16-20°C | Lower temperatures reduce inclusion body formation | SDS-PAGE of soluble vs. insoluble fractions |
| IPTG Concentration | 0.1-0.5 mM | Lower concentrations favor proper folding | Expression yield quantification |
| Expression Duration | 12-16 hours | Extended time at lower temperature improves yield | Time-course sampling and analysis |
| Media Composition | LB or TB with supplements | Rich media supports higher biomass | OD600 measurements |
Purification Strategy:
Affinity chromatography using appropriate tag (His6-tag recommended for minimal interference)
Ion exchange chromatography (typically cation exchange due to basic nature of ribosomal proteins)
Size exclusion chromatography for final polishing and buffer exchange
Critical Quality Controls:
Circular dichroism (CD) spectroscopy to verify secondary structure
RNA binding assays to confirm functional activity
Mass spectrometry to verify protein integrity and modifications
This systematic approach addresses the challenges specific to ribosomal proteins while providing research-grade material for subsequent functional and structural studies.
Data analysis for comparative studies of rpsN across Acinetobacter species requires rigorous statistical approaches and careful consideration of biological context:
Sequence Analysis Framework:
Multiple sequence alignment using MAFFT or similar algorithms, as implemented in previous Acinetobacter studies .
Phylogenetic analysis employing Neighbor-Joining (NJ) methods to establish evolutionary relationships .
Calculation of sequence identity/similarity matrices with defined thresholds (97% identity has been suggested as appropriate for species delineation in some Acinetobacter genes) .
Expression Data Analysis:
Normalization strategies should account for:
a) Reference gene stability across species
b) RNA quality variations
c) PCR efficiency differences
Statistical analysis using ANOVA with post-hoc tests for multiple comparisons.
Implementation of randomized block designs to control for experimental batch effects .
Structural Comparison Approaches:
Homology modeling based on high-resolution ribosome structures.
Root Mean Square Deviation (RMSD) calculations to quantify structural differences.
Conservation mapping onto structural models to identify functionally important regions.
Functional Data Integration:
Correlation analysis between sequence variation and functional parameters.
Principal Component Analysis (PCA) to identify patterns across multiple variables.
Path analysis to establish potential causal relationships between sequence, structure, and function.
This comprehensive analytical framework ensures robust interpretation of comparative data while accounting for the taxonomic complexity of Acinetobacter species.
Designing primers for rpsN amplification across diverse Acinetobacter species requires careful consideration of sequence conservation, specificity, and technical parameters:
Sequence Analysis for Primer Design:
Align rpsN sequences from multiple Acinetobacter species.
Identify conserved regions flanking variable segments for universal primer design.
For species-specific primers, target unique regions with at least 3-4 nucleotide differences at the 3' end.
Primer Design Parameters:
Optimal length: 18-25 nucleotides
GC content: 40-60%
Melting temperature (Tm): 55-65°C with <5°C difference between primer pairs
Avoid secondary structures and primer-dimers
Include degenerate bases at variable positions for universal primers
Validation Strategy:
Test primers against a panel of well-characterized Acinetobacter species.
Sequence amplicons to confirm specificity.
Optimize PCR conditions for each species or for universal application.
Application-Specific Considerations:
For expression studies: design primers within the coding region
For evolutionary studies: include flanking regions
For full-length cloning: add appropriate restriction sites
This systematic approach to primer design ensures reliable amplification while accounting for the genetic diversity within the Acinetobacter genus, similar to the approach used for rpoB amplification in previous studies .
The rpsN gene offers potential as a phylogenetic marker for evolutionary studies within Acinetobacter, though with important considerations:
When properly implemented within a multi-locus approach, rpsN can contribute valuable evolutionary insights, particularly regarding the conservation of essential ribosomal functions across diverse Acinetobacter lineages.
The implications of rpsN variation for antibiotic development targeting Acinetobacter species are multifaceted and potentially significant:
Target Site Conservation Analysis:
Regions of high conservation in rpsN across Acinetobacter species represent potential broad-spectrum antibiotic targets.
Variable regions may offer opportunities for species-specific targeting, particularly relevant given the differing resistance profiles between A. baumannii and non-A. baumannii species (resistance rates of 2.6% for non-A. baumannii vs. significantly higher for A. baumannii) .
Structure-Based Drug Design Considerations:
Identify pockets or interfaces involving rpsN that could be targeted by small molecules.
Focus on rpsN interactions with 16S rRNA at the A site that are essential for ribosomal function.
Consider species-specific structural features that might influence drug binding.
Resistance Mechanism Anticipation:
Catalog naturally occurring variations in rpsN across clinical isolates.
Identify positions prone to mutation that might confer resistance.
Design inhibitors with multiple binding modes to reduce resistance development potential.
Validation Strategy:
Test candidate compounds against panels of diverse Acinetobacter species.
Evaluate efficacy against clinical isolates with different rpsN variants.
Assess resistance development rates under selective pressure.
This approach leverages detailed understanding of rpsN structural and functional properties to inform rational antibiotic design strategies that account for natural variation within the Acinetobacter genus.
Designing comprehensive research projects focused on Acinetobacter sp. rpsN requires integration of multiple experimental approaches and careful consideration of the taxonomic complexity within this genus. Researchers should prioritize accurate species identification using rpoB gene sequencing, as this has demonstrated superior discriminatory power compared to 16S rRNA sequencing or phenotypic methods . The experimental design should incorporate randomized block designs to control for variables that might influence results .
For functional studies, it's essential to consider the dual role of rpsN in ribosome assembly and 16S rRNA conformation at the A site . This necessitates both structural and functional readouts in experimental designs. Additionally, researchers should be aware of the clinical significance of different Acinetobacter species, particularly the distinction between A. baumannii and non-A. baumannii isolates in terms of antibiotic resistance profiles .