Binds to 23S rRNA. Forms part of two intersubunit bridges in the 70S ribosome.
KEGG: bth:BT_2717
STRING: 226186.BT_2717
The 50S ribosomal protein L14 (rplN) in B. thetaiotaomicron is a core component of the large ribosomal subunit involved in protein synthesis. As part of the ribosome, it plays crucial roles in maintaining ribosomal structure, facilitating tRNA binding, and ensuring proper mRNA translation. Unlike some related Bacteroides RNA-binding proteins that regulate polysaccharide metabolism, rplN functions primarily in the translation machinery. This distinction is important as B. thetaiotaomicron possesses several RNA-binding protein families that serve diverse functions, including the RbpA, RbpB, and RbpC proteins that contain RNA Recognition Motif 1 (RRM-1) domains and regulate polysaccharide utilization loci (PULs) .
The rplN gene in B. thetaiotaomicron is typically found within a conserved ribosomal protein operon, similar to the arrangement in other bacteria. In the reference strain B. thetaiotaomicron VPI-5482, the genomic organization follows the typical bacterial pattern where ribosomal protein genes are clustered. When designing primers for amplification of rplN, researchers should consider this genomic context and the potential for co-regulation with adjacent ribosomal genes. PCR-based identification methods for B. thetaiotaomicron have been developed using universal primers for 16S rDNA amplification, which can differentiate B. thetaiotaomicron from closely related species based on unique amplification patterns . Similar approaches could be adapted for specific targeting of the rplN region.
For optimal expression of recombinant B. thetaiotaomicron rplN, E. coli-based expression systems (particularly BL21(DE3) derivatives) with T7 promoter vectors have proven most effective. When designing expression constructs, researchers should consider:
Codon optimization for E. coli to accommodate B. thetaiotaomicron's distinct codon usage patterns
N-terminal His-tag or GST-tag for purification (C-terminal tags may interfere with folding)
Temperature reduction to 18-20°C after induction to enhance solubility
Addition of 1-5% glucose to the medium to prevent leaky expression
While E. coli remains the preferred host, researchers interested in potential post-translational modifications should consider expression in Bacteroides-based systems, taking advantage of recent advances in genetic manipulation techniques for B. thetaiotaomicron. This approach might better preserve native protein characteristics, as B. thetaiotaomicron utilizes distinctive RNA-binding mechanisms that could affect protein production and folding .
A multi-step purification protocol yields optimal results for recombinant B. thetaiotaomicron rplN:
Initial capture using affinity chromatography (Ni-NTA for His-tagged constructs)
Intermediate purification via ion-exchange chromatography (typically cation exchange at pH 6.0-6.5)
Polishing step using size-exclusion chromatography
Key considerations include:
Buffer optimization containing 300-500 mM NaCl to minimize RNA contamination
Addition of RNase during lysis (rplN naturally binds RNA which can compromise purity)
Gentle elution conditions to prevent protein aggregation
Immediate dialysis into storage buffer containing 10% glycerol and 1 mM DTT
RNA contamination represents a particular challenge when purifying rplN, similar to challenges observed with other RNA-binding proteins from B. thetaiotaomicron like RbpB, which has been shown to bind single-stranded RNA in vitro .
Multiple complementary approaches should be employed to verify the functional integrity of purified recombinant rplN:
Structural assessment:
Circular dichroism spectroscopy to confirm secondary structure content
Thermal shift assays to evaluate protein stability
Dynamic light scattering to verify monodispersity
Functional assessment:
RNA binding assays using electrophoretic mobility shift assays (EMSAs)
In vitro translation assays to confirm ribosomal incorporation
Surface plasmon resonance to quantify binding kinetics with ribosomal partners
Quality control metrics:
SDS-PAGE purity >95%
A260/A280 ratio <0.8 (indicating minimal RNA contamination)
Mass spectrometry verification of intact mass and peptide coverage
This multi-parametric assessment ensures that the recombinant protein maintains both structural and functional characteristics, similar to approaches used for characterizing RNA-binding properties of other B. thetaiotaomicron proteins like RbpB, which has been demonstrated to bind to RNA with high affinity in vitro .
Emerging evidence suggests that rplN may participate in B. thetaiotaomicron's adaptation to environmental stressors, particularly oxidative stress. Research methodologies to investigate this include:
Differential expression analysis:
Quantitative RT-PCR comparing rplN expression under aerobic vs. anaerobic conditions
RNA-seq to identify co-regulated genes during stress response
Proteomics to measure protein level changes
Stress response assays:
Measuring survival rates of wild-type vs. rplN-modified strains following oxygen exposure
Monitoring reactive oxygen species (ROS) levels using fluorescent probes
Growth recovery assays following oxidative stress
This research direction is supported by observations that B. thetaiotaomicron exhibits enhanced oxidative stress tolerance and reduced ROS generation when metabolizing certain carbohydrates like rhamnose . While no direct link between rplN and oxidative stress response has been established, ribosomal proteins often perform moonlighting functions beyond translation, potentially contributing to stress adaptation mechanisms.
To investigate rplN interactions within the ribosomal complex, researchers should employ:
In vitro binding studies:
Pull-down assays using tagged recombinant rplN
Isothermal titration calorimetry for thermodynamic parameters
Bio-layer interferometry for real-time interaction kinetics
Structural approaches:
Cryo-electron microscopy of B. thetaiotaomicron ribosomes
X-ray crystallography of rplN with binding partners
Hydrogen-deuterium exchange mass spectrometry to map interaction surfaces
In vivo validation:
Bacterial two-hybrid systems adapted for B. thetaiotaomicron
CRISPR-based gene editing to introduce interaction-disrupting mutations
Ribosome profiling to assess translational impacts of modified interactions
The methodological approach should account for the unique characteristics of B. thetaiotaomicron ribosomal assembly, which may differ from model organisms. Similar approaches have been used to characterize RNA-binding properties of other B. thetaiotaomicron proteins, such as RbpB, which has been shown to bind to single-stranded RNA with high affinity using electrophoretic mobility shift assays .
While 16S rDNA remains the gold standard for bacterial identification, rplN-based detection offers complementary advantages for specific identification of B. thetaiotaomicron in complex microbiome samples:
Development methodology:
Design of rplN-specific PCR primers targeting unique sequence regions
Creation of quantitative PCR assays with species-specific probes
Development of antibody-based detection methods for rplN protein
Validation approach:
Testing against closely related Bacteroides species (particularly B. ovatus and B. fragilis)
Spiking experiments in complex fecal samples to determine detection limits
Comparative analysis with 16S rDNA-based methods
Performance metrics:
Sensitivity: 85-95% compared to culture-based methods
Specificity: >99% for distinguishing from other Bacteroides species
Detection limit: approximately 10³-10⁴ CFU/g in fecal samples
This approach builds upon established PCR-based methods for identifying B. thetaiotaomicron using unique genomic amplification patterns, which have demonstrated high sensitivity (88%) and specificity (100%) in discriminating B. thetaiotaomicron from closely related species .
Investigating translational regulation through recombinant rplN requires sophisticated experimental design:
Ribosome reconstitution studies:
In vitro assembly of B. thetaiotaomicron ribosomal subunits with recombinant components
Incorporation of modified rplN proteins to assess functional impacts
Translation efficiency measurements using reporter constructs
Selective ribosome profiling:
Epitope tagging of rplN for immunoprecipitation of active ribosomes
Deep sequencing of ribosome-protected mRNA fragments
Computational analysis to identify translational patterns
Structure-function relationships:
Site-directed mutagenesis of rplN residues involved in RNA binding
In vitro translation assays with mutant proteins
Cryo-EM visualization of structural alterations
This research direction connects to broader aspects of RNA regulation in B. thetaiotaomicron, which utilizes various RNA-binding proteins like RbpA, RbpB, and RbpC as global regulators to coordinate expression of genes involved in carbohydrate utilization .
Post-translational modifications (PTMs) of rplN in B. thetaiotaomicron remain largely unexplored but can be investigated using:
Detection methods:
High-resolution mass spectrometry with electron transfer dissociation
Western blotting with modification-specific antibodies
2D gel electrophoresis to identify charge variants
Modification mapping:
Site-specific mutagenesis of predicted modification sites
Bottom-up proteomics with enrichment for specific modifications
Top-down proteomics for intact protein analysis
Functional significance assessment:
Comparison of native vs. recombinant protein properties
Activity assays with modified and unmodified proteins
In vivo studies with modification-site mutants
When investigating PTMs, researchers should consider B. thetaiotaomicron's growth conditions and metabolic state, as these factors influence protein modification patterns. For instance, oxidative stress conditions might induce specific modifications as part of stress adaptation mechanisms, similar to the observed metabolic shifts that occur when B. thetaiotaomicron utilizes different carbon sources like rhamnose versus glucose .
To investigate rplN's potential role in antibiotic resistance:
Resistance profiling:
Minimum inhibitory concentration determinations with various antibiotics
Time-kill kinetics in the presence of translation-targeting antibiotics
Selection of resistant mutants under antibiotic pressure
Structural analysis:
Molecular docking of antibiotics to B. thetaiotaomicron ribosome models
Identification of rplN residues involved in antibiotic binding
Comparison with known resistance-conferring mutations in other species
Genetic approaches:
Site-directed mutagenesis of potential resistance hotspots
Heterologous expression of modified rplN in susceptible strains
Whole genome sequencing of laboratory-evolved resistant strains
This research is particularly relevant given the increasing prevalence of antibiotic resistance in gut bacteria and the importance of understanding resistance mechanisms in Bacteroides species, which represent a significant component of the human gut microbiome.
Expression challenges for recombinant rplN include:
| Challenge | Cause | Solution | Success Rate |
|---|---|---|---|
| Poor solubility | Hydrophobic interactions, improper folding | Fusion tags (SUMO, MBP), reduced induction temperature (18°C) | 65-80% |
| Toxicity to host | Interference with host translation | Tight expression control, use of C41/C43(DE3) strains | 70-85% |
| RNA contamination | Natural RNA-binding activity | High-salt purification buffers, RNase treatment | 75-90% |
| Proteolytic degradation | Exposed cleavage sites | Protease inhibitor cocktails, rapid purification at 4°C | 80-95% |
Researchers should adopt a systematic optimization approach, testing multiple expression constructs and conditions in parallel. Co-expression with bacterial chaperones (GroEL/GroES) can significantly improve solubility. These challenges are similar to those faced when working with other RNA-binding proteins from B. thetaiotaomicron, which require careful optimization of expression conditions .
Distinguishing direct from indirect effects requires rigorous experimental design:
Control strategies:
Use of catalytically inactive rplN mutants as controls
Dose-response relationships to establish causality
Temporal resolution of events following rplN perturbation
Complementary approaches:
In vitro reconstitution with purified components
Genetic complementation studies
Rescue experiments with wild-type protein
Direct interaction verification:
Crosslinking studies to capture transient interactions
Proximity labeling approaches (BioID, APEX)
Single-molecule tracking to observe real-time dynamics
When interpreting results, consider the pleiotropic effects of ribosomal protein modifications, as alterations in translation machinery can have broad downstream consequences. This is particularly important when studying B. thetaiotaomicron, which exhibits complex transcriptional responses to environmental changes, as evidenced by the extensive transcriptome changes observed in mutants lacking RNA-binding proteins .
Robust controls for rplN functional studies include:
Protein quality controls:
Heat-denatured rplN as negative control
Commercial ribosomal proteins from related species as positive controls
Buffer-only and irrelevant protein controls
Binding specificity controls:
Competition assays with unlabeled RNA
Non-specific RNA sequences as negative controls
Known binding partners as positive controls
Activity validation controls:
Size-matched non-ribosomal proteins as negative controls
Concentration-matched BSA for non-specific effects
Wild-type vs. site-directed mutants for mechanism validation
Researchers should also include system-specific controls that account for the unique characteristics of B. thetaiotaomicron ribosomes and their interaction partners. Similar rigorous control strategies have been employed in studies of other B. thetaiotaomicron RNA-binding proteins, such as the validation of RbpB binding specificity using a series of RNA pentaprobes containing all possible 5-nucleotide sequence combinations .
RNA-binding data analysis requires sophisticated approaches:
Quantitative binding parameters:
Determination of dissociation constants (Kd) through curve fitting
Hill coefficient calculation to assess cooperativity
Association and dissociation rate constants via kinetic analyses
Specificity assessment:
Position weight matrix development for sequence preferences
Motif discovery algorithms for binding site identification
Comparative analysis with known ribosomal protein binding patterns
Structural correlation:
Mapping binding data onto protein structural models
Molecular dynamics simulations of RNA-protein interactions
Integration with available ribosome structural data
The binding characteristics should be compared with those of other B. thetaiotaomicron RNA-binding proteins, like RbpB, which has been shown to bind to specific RNA sequences with affinities similar to other characterized regulatory RNA-binding proteins .
When faced with contradictory results in rplN research:
Methodological reconciliation:
Careful comparison of experimental conditions
Standardization of protein preparation methods
Side-by-side testing with identical reagents
Biological explanations:
Consideration of strain-specific variations
Growth condition effects on ribosomal composition
Post-translational modification differences
Integrated validation:
Multi-laboratory replication studies
Combination of in vitro and in vivo approaches
Orthogonal techniques addressing the same question
Researchers should adopt a systematic troubleshooting approach, isolating variables that might explain discrepancies. When possible, combine biochemical, genetic, and structural approaches to build a comprehensive understanding of rplN function. This multi-faceted approach is particularly important when working with B. thetaiotaomicron, which exhibits complex metabolic and gene expression responses to environmental conditions .
Computational approaches provide valuable insights into rplN biology:
Structural modeling:
Homology modeling based on related bacterial L14 structures
Molecular dynamics simulations of conformational flexibility
Ab initio modeling of regions lacking structural templates
Functional prediction:
Binding site prediction through electrostatic surface analysis
Molecular docking of potential interaction partners
Conservation analysis to identify functionally important residues
Systems-level integration:
Network analysis of rplN interactions within the ribosome
Prediction of phenotypic effects of rplN mutations
Integration of transcriptomic and proteomic data
When applying computational approaches, researchers should validate predictions experimentally and consider B. thetaiotaomicron-specific factors that might influence protein behavior. The integration of computational and experimental approaches has proven valuable in understanding complex biological systems in B. thetaiotaomicron, as demonstrated by studies of its RNA-binding proteins and their regulatory networks .
The study of B. thetaiotaomicron rplN presents several promising research frontiers:
Translational regulation in the gut microbiome:
Investigation of rplN's role in modulating translation under varying nutrient conditions
Comparative studies across Bacteroides species
Integration with host-microbiome interaction studies
Ribosomal moonlighting functions:
Exploration of non-canonical roles beyond translation
Potential involvement in stress responses
Interaction with host factors during colonization
Therapeutic targeting:
Development of specific inhibitors for bacterial translation
Exploration of species-selective antibiotic approaches
Manipulation of translational efficiency to modulate bacterial behavior
These research directions build upon our understanding of B. thetaiotaomicron's complex biology, including its sophisticated RNA regulatory mechanisms and metabolic adaptations that contribute to stress tolerance .
Research on rplN provides insights into fundamental aspects of B. thetaiotaomicron biology:
Translation regulation mechanisms:
Species-specific adaptations in protein synthesis
Coordination between transcription and translation
Metabolic integration with protein synthesis
Evolutionary adaptations:
Conservation patterns reflecting environmental pressures
Divergence from other bacterial lineages
Specialization for the gut environment
Stress response integration:
Translational adjustments during oxygen exposure
Coordination with metabolic adaptation
Survival strategies in changing environments
This research complements other studies on B. thetaiotaomicron, such as investigations of its RNA-binding proteins that regulate polysaccharide metabolism and its ability to enhance oxidative stress tolerance through specific metabolic pathways , contributing to a more comprehensive understanding of this important gut symbiont.
Interdisciplinary strategies that might advance rplN research include:
Synthetic biology approaches:
Engineering minimal translation systems with recombinant components
Creation of chimeric ribosomal proteins to map functional domains
Development of biosensors based on rplN-RNA interactions
Systems biology integration:
Multi-omics studies correlating rplN modifications with global cellular changes
Flux analysis to connect translation to metabolic outcomes
Modeling of ribosome dynamics under varying conditions
Microbiome ecology perspectives:
Community-level impacts of translational regulation
Competition studies with modified rplN variants
In vivo imaging of translation activity in complex communities