Ribosomes are essential cellular components responsible for protein synthesis, and ribosomal proteins like L28 play a crucial role in ribosome assembly and function . In bacteria, the ribosome consists of two subunits, 30S and 50S, each containing ribosomal RNA (rRNA) and ribosomal proteins. The 50S ribosomal protein L28 (RpmB) is a component of the larger 50S subunit and is vital for the association of the 30S and 50S subunits to form the functional 70S ribosome . Specifically, L28 is involved in tRNA binding and peptide bond formation .
Acinetobacter is a genus of Gram-negative bacteria known for its ability to develop resistance to multiple antibiotics, making infections caused by these bacteria difficult to treat . Studying the ribosomal proteins of Acinetobacter species, such as RpmB, can provide insights into the mechanisms of antibiotic resistance and potential targets for novel therapeutics . Recombinant production of these proteins allows for detailed structural and functional studies.
The gene rpmB encodes the large ribosomal subunit protein L28 in Acinetobacter baumannii . The L28 protein is crucial for ribosome assembly .
Recombinant Staphylococcus aureus 50S ribosomal protein L28 (RpmB) can be produced in various expression systems, including Escherichia coli, yeast, baculovirus, and mammalian cells . The choice of expression system depends on the specific research needs, such as the desired protein yield, post-translational modifications, and activity .
Understanding the structure and function of ribosomal proteins like L28 in Acinetobacter species can aid in the development of new antibacterial strategies. Ribosomal proteins are essential for bacterial protein synthesis, making them potential targets for novel antibiotics . Inhibiting the function of L28 or disrupting its interaction with other ribosomal components could selectively disrupt bacterial protein synthesis, leading to bacterial cell death.
For effective recombinant production of Acinetobacter sp. rpmB, several expression systems can be employed, each with specific advantages:
BL21(DE3) or Rosetta strains are preferred for small ribosomal proteins
Codon optimization may be necessary when expressing Acinetobacter genes in E. coli
Expression vector selection should incorporate affinity tags (His6, GST) for simplified purification
Temperature modulation (typically 18-25°C) after induction improves solubility
Cell lysis using sonication or pressure-based disruption in buffer containing protease inhibitors
Initial clarification via centrifugation (14,000-20,000 × g)
Affinity chromatography (Ni-NTA for His-tagged constructs)
Size exclusion chromatography for final polishing and buffer exchange
Quality control includes SDS-PAGE analysis, mass spectrometry verification, and functional assays to ensure proper folding. Typical yields range from 5-15 mg/L of bacterial culture when optimization is performed .
Validating functionality of recombinant rpmB requires multiple approaches to ensure the protein retains its native properties:
Reconstitution of ribosome with and without L28 to assess impact on translation efficiency
Monitoring peptide synthesis rates using radiolabeled amino acids
Assessing binding to 23S rRNA through filter binding or electrophoretic mobility shift assays
Circular dichroism to confirm proper secondary structure formation
Thermal shift assays to determine protein stability
Limited proteolysis to evaluate folding quality
Expression of recombinant rpmB in L28-deficient strains (if viable)
Assessment of growth restoration under various conditions
Ribosome profiling to evaluate translation fidelity
Researchers should note that ribosomal proteins often function in complex with other components, necessitating contextual validation beyond isolated protein characterization.
Determining gene essentiality requires sophisticated genetic approaches that can be applied to investigate rpmB in Acinetobacter:
High-efficiency recombination methods:
Gene replacement techniques employing PCR-generated cassettes with antibiotic resistance markers flanked by 40-50 nucleotide homology regions to the target gene allow precise replacement of the chromosomal rpmB open reading frame . This approach requires:
Design of primers containing:
40-50 nucleotide sequence homologous to regions surrounding the rpmB ORF
22-25 nucleotide priming sequence complementary to antibiotic resistance gene
PCR verification of recombinants using:
Colony PCR with primers flanking the insertion site
Sequencing confirmation of successful replacements
Essentiality assessment strategies:
Inability to obtain gene knockouts suggests essentiality
Creation of partial diploids (merodiploids) to test conditional essentiality
Evaluation of segregation rates under non-selective conditions
Inducible promoter replacement to control expression
Temperature-sensitive plasmids carrying functional copies
CRISPR interference (CRISPRi) for targeted knockdown
Phenotypic microarray analysis can subsequently characterize conditional mutants for metabolic changes, as demonstrated in studies of other ribosomal genes .
While direct evidence for rpmB's role in antibiotic resistance is limited, investigations can follow methodologies established for studying ribosome-targeting antibiotics:
MALDI-TOF MS analytical approach:
Mass spectrometry has proven valuable for detecting carbapenemase activity in Acinetobacter species and similar approaches can be adapted for studying ribosomal modifications:
Sample preparation protocol:
Bacterial inoculum optimization (1×10^9 to 2.5×10^10 CFU/ml)
Incubation with antibiotic of interest (e.g., macrolides, lincosamides)
Matrix preparation with α-cyano-4-hydroxycinnamic acid
Spectrum analysis parameters:
Monitoring specific peaks associated with antibiotic modification
Comparative analysis between resistant and susceptible strains
Evaluation of peak intensity changes after enzyme inhibitor treatment
RNA sequencing to quantify rpmB expression levels across resistant isolates
Proteomic analysis to determine L28 abundance and modifications
Site-directed mutagenesis of rpmB to assess impact on minimum inhibitory concentrations
| Antibiotic Class | Potential L28 Interaction Mechanism | Analytical Method |
|---|---|---|
| Macrolides | Alteration of exit tunnel geometry | Ribosome profiling |
| Oxazolidinones | Modified binding site interactions | Footprinting assays |
| Aminoglycosides | Impact on translational fidelity | Mistranslation reporters |
Researchers should design experiments that distinguish between direct effects (L28 modification) and indirect effects (altered expression of resistance determinants) .
Investigating L28 interactions within the ribosomal complex requires specialized approaches:
Sample preparation with purified 50S subunits or complete 70S ribosomes
Data collection at 300kV with direct electron detectors
Processing with motion correction and CTF estimation
3D reconstruction and focused refinement around L28 binding site
Chemical cross-linking protocol:
Treatment with bissulfosuccinimidyl suberate (BS3) or disuccinimidyl suberate (DSS)
Quenching with primary amines (e.g., Tris buffer)
Digestion with trypsin and/or other proteases
Enrichment of cross-linked peptides
MS data analysis workflow:
Identification of cross-linked peptide pairs
Mapping interactions to 3D structural models
Validation through mutagenesis of key residues
Maps protein dynamics and solvent accessibility
Identifies binding interfaces between L28 and rRNA or other proteins
Compares conformational changes upon complex formation
These methods provide complementary structural information to build comprehensive interaction models of L28 within the ribosomal architecture.
The human RPL28 gene has been implicated in sorafenib resistance in hepatocellular carcinoma (HCC) , suggesting potential parallels for investigating bacterial rpmB in antibiotic resistance:
Development of resistant strains:
Serial passage in increasing antibiotic concentrations
Measurement of IC50 values for parent and resistant strains
RNA sequencing to identify differentially expressed genes
Functional validation:
Gene knockdown using antisense RNA or CRISPR interference
Complementation with wild-type and mutant alleles
Assessment of resistance phenotype reversion
Mechanistic investigation:
Ribosome profiling to assess translation efficiency changes
Proteomics to identify altered stress response pathways
Metabolomics to detect adaptive metabolic shifts
Comparative analysis framework:
When examining rpmB's potential role in resistance, researchers should consider parallels from eukaryotic systems while acknowledging fundamental differences in ribosome structure and function.
Researchers should employ isogenic strains differing only in rpmB expression to avoid confounding factors when evaluating resistance phenotypes .
Comprehensive bioinformatic analysis of rpmB requires multiple computational approaches:
Sequence retrieval:
Extract rpmB sequences from complete Acinetobacter genomes
Include diverse clinical and environmental isolates
Incorporate reference strains (ATCC 17978, etc.)
Multiple sequence alignment:
MUSCLE or MAFFT alignment with refinement
Visualization with Jalview or similar tools
Conservation scoring using Scorecons or AMAS
Phylogenetic tree construction:
Maximum likelihood methods (RAxML, IQ-TREE)
Bayesian inference (MrBayes)
Tree visualization with iTOL or FigTree
Homology modeling using existing bacterial L28 structures
Identification of conserved surface patches for interaction mapping
Electrostatic potential calculation to identify functional surfaces
dN/dS ratio calculation using PAML or HyPhy
Identification of sites under positive or purifying selection
Correlation with antibiotic resistance phenotypes across species
The high conservation of rpmB across Acinetobacter species suggests critical functional roles, while variable regions may indicate species-specific adaptations or resistance mechanisms.
Several cutting-edge technologies offer significant potential for advancing our understanding of rpmB in Acinetobacter species:
Fluorescence resonance energy transfer (FRET) to monitor L28 dynamics during translation
Optical tweezers to measure force generation during ribosome function
Zero-mode waveguides for real-time observation of single-ribosome translation
Combination of cryo-EM, X-ray crystallography, and NMR data
Molecular dynamics simulations to predict functional movements
Artificial intelligence-based structure prediction methods
Ribosome profiling coupled with transcriptomics and proteomics
Network analysis of L28 interactions within cellular pathways
Genome-wide CRISPR screens to identify genetic interactions
These technologies will enable researchers to address outstanding questions about L28's role in antibiotic resistance, ribosome assembly, and translation regulation in Acinetobacter species.
When confronted with contradictory findings regarding rpmB function, researchers should implement:
Standardization of experimental conditions:
Defined growth media and growth phase for sampling
Consistent antibiotic concentrations and exposure times
Uniform genetic backgrounds for mutant construction
Multiple methodological approaches:
Complementary in vivo and in vitro systems
Orthogonal measurement techniques
Independent validation in different laboratories
Systematic controls:
Positive and negative controls for each experiment
Complementation studies to confirm phenotype causality
Dose-response relationships rather than single-point measurements
Meta-analysis of published findings with statistical rigor
Bayesian approaches to weigh evidence quality
Development of computational models to reconcile divergent data
By implementing these strategies, researchers can develop a more coherent understanding of rpmB's functions and its potential as a therapeutic target in Acinetobacter species.