rplS is the abbreviation for Recombinant Protochlamydia amoebophila 50S ribosomal protein L19 . Ribosomal proteins, such as rplS, are crucial components of ribosomes, which are essential for protein synthesis in cells .
Ribosomal proteins can undergo horizontal gene transfer (HGT) in bacteria, which may lead to drug resistance . For example, horizontal gene transfer of 50S ribosomal genes like rplB, rplD, and rplY has been observed in Neisseria gonorrhoeae, influencing its susceptibility to antibiotics .
rplS, or ribosomal protein L19, is located at the interface between the 30S and 50S ribosomal subunits . It may have a structural role and be involved in the function of the aminoacyl-tRNA binding site .
rplS interacts with other ribosomal proteins, including :
rplM (Ribosomal protein L13)
rpsP (Ribosomal protein S16)
rplT (Ribosomal protein L20)
rplK (Ribosomal protein L11)
rplD (Ribosomal protein L4)
rpsI (Ribosomal protein S9)
rplU (Ribosomal protein L21)
rplA (Ribosomal protein L1)
rplJ (Ribosomal protein L10)
rpsG (Ribosomal protein S7)
These interactions are important for ribosome assembly and function .
In retroperitoneal liposarcoma (RPLS), molecular subtyping based on gene expression data has revealed two distinct subgroups with different clinical outcomes . This highlights the role of molecular subtyping in guiding individualized treatment strategies and enhancing patient management .
rplF is another ribosomal protein from Protochlamydia amoebophila, specifically the 50S ribosomal protein L6 . It has a defined amino acid sequence and is available as a recombinant protein .
KEGG: pcu:pc0657
STRING: 264201.pc0657
Protochlamydia amoebophila UWE25 rplS is a 135-amino acid protein with a molecular weight of approximately 15.2 kDa. Its primary sequence is:
MIMSRSAIIEKLQNEQMKKDITPFRIGDTVRVHIRIIEGDKERTQVFAGTVIARKGQGLSETFSVHRVAYGEGMERVFMLHSPRIAKIEVIKEGDVRRSKLYYLRGTSGKASKVKARLGARRSSNAVTKQIVSAE
This protein belongs to the bacterial ribosomal protein bL19 family and serves as a structural component of the 50S ribosomal subunit. Unlike its E. coli counterpart which contains 114 amino acids , P. amoebophila rplS has 135 amino acids, suggesting potential structural or functional adaptations specific to this organism.
Based on available research methodologies for similar proteins, the following approach is recommended for recombinant expression of P. amoebophila rplS:
Expression vector selection: The pET16b vector system has been successfully used for expression of other P. amoebophila proteins, adding an N-terminal His tag to facilitate purification . This system would likely be effective for rplS expression as well.
Host selection: E. coli BL21(DE3) has proven effective for expression of P. amoebophila proteins . This strain is particularly suitable because it lacks certain proteases that might degrade the recombinant protein.
Expression conditions: Optimal expression is typically achieved at room temperature following induction with 1 mM IPTG . This moderate temperature helps prevent inclusion body formation while maintaining good protein yield.
Purification strategy: HisTrap purification columns (such as HiTrap HP) provide efficient purification of His-tagged recombinant proteins . For rplS specifically, prepare to:
Lyse cells in appropriate buffer with protease inhibitors
Perform affinity chromatography using nickel columns
Verify purified protein by SDS-PAGE and mass spectrometry
When designing constructs, consider excluding hydrophobic domains if present, as was done with other P. amoebophila proteins to improve solubility and expression efficiency .
When investigating the structural properties of P. amoebophila rplS, researchers should consider:
Secondary structure prediction: Tools such as the Kyte-Doolittle hydrophilicity profile (window size of seven) through the MacVector software can be utilized to analyze hydrophobicity patterns . For coiled-coil structures, MARCOIL prediction tools would be appropriate .
Crystallization approaches: Due to its relatively small size (15.2 kDa), rplS may be amenable to X-ray crystallography following high-purity preparation. Consider:
Screening various crystallization conditions (pH, salt concentration, temperature)
Co-crystallization with RNA fragments or interacting partners
Surface entropy reduction mutations if crystallization proves difficult
Structure-function correlation: To understand functional domains, combine structural data with:
Site-directed mutagenesis of conserved residues
Ribosome binding assays to measure functional impacts
Comparative analysis with homologous proteins from other bacteria
Protochlamydia amoebophila UWE25 represents an important evolutionary link within the Chlamydiae phylum. Unlike the pathogenic Chlamydiaceae that primarily infect mammalian and avian hosts, P. amoebophila functions as an endosymbiont of free-living amoebae . This ecological distinction has significant implications:
Evolutionary position: P. amoebophila represents a more ancient lineage of Chlamydiae, providing insights into the evolutionary history of this bacterial group before the adaptation to animal hosts.
Gene contribution to eukaryotes: Phylogenomic analyses have identified at least 55 Chlamydiae-derived genes in algae and plants, suggesting significant genetic contributions from ancient Chlamydiae to Plantae . This indicates a potentially important role of Chlamydiae in eukaryotic evolution.
Ribosomal diversity context: Within Chlamydiae, there can be significant diversity in ribosomal RNA genes. For example, "Candidatus Protochlamydia amoebophila" contains three 16S rRNA genes with notable diversity at the secondary structural level . This diversity context is important when studying specific ribosomal proteins like rplS.
The evolutionary conservation of ribosomal proteins like rplS can provide insights into both the core translational machinery maintained across bacterial lineages and the specific adaptations that occurred during the evolution of obligate intracellular lifestyles.
Comparative genomic approaches to studying rplS conservation should include:
Sequence alignment methodology:
Phylogenetic analysis approach:
Structural conservation analysis:
Map sequence conservation onto predicted structures
Identify structurally constrained regions versus variable regions
Correlate with known functional domains in ribosomal proteins
This approach would reveal whether rplS shows evidence of horizontal gene transfer, which has been documented for other genes in the evolutionary history of Chlamydiae .
Investigating rplS in P. amoebophila could provide insights into several aspects of this organism's obligate intracellular lifestyle:
Specialized translation machinery: As an obligate intracellular bacterium, P. amoebophila may exhibit adaptations in its translation apparatus, including ribosomal proteins like rplS. Comparative analysis with free-living bacteria could reveal specialized features.
Host interaction context: While rplS itself is not an inclusion membrane protein, P. amoebophila does possess inclusion membrane proteins (designated IncA, IncQ, IncR, and IncS) that modify the membrane of its host-derived vesicular compartment . Understanding how core cellular functions like translation operate in this specialized intracellular environment is crucial.
Experimental approaches:
Immunofluorescence analysis to determine rplS localization during infection
Co-immunoprecipitation to identify interaction partners unique to intracellular growth
Transcriptional analysis to examine expression patterns during different stages of the infection cycle
Several ribosomal proteins have been found to perform secondary functions beyond their role in translation. To investigate such possibilities for P. amoebophila rplS:
Protein-protein interaction studies:
Yeast two-hybrid screening using rplS as bait against P. amoebophila and host cell libraries
Pull-down assays with tagged recombinant rplS followed by mass spectrometry
In situ proximity labeling (BioID or APEX) to identify neighbors in the cellular context
Subcellular localization:
Functional assays:
RNA binding studies to identify potential regulatory roles
DNA binding assays to test for possible transcription factor activity
Stress response analysis to detect condition-specific relocalization
Purifying native rplS directly from P. amoebophila presents significant challenges due to its obligate intracellular lifestyle. An effective methodological approach would include:
Cell culture and harvest:
Cultivate P. amoebophila in amoeba hosts (e.g., Acanthamoeba sp.)
Harvest bacteria at optimal growth phase
Purify bacteria from host cells through density gradient centrifugation
Ribosome isolation:
Lyse bacteria under RNase-free conditions
Separate crude ribosomes through ultracentrifugation
Purify 50S subunits using sucrose gradient separation
Protein extraction and identification:
Extract ribosomal proteins using acetic acid or lithium chloride
Separate proteins using reversed-phase HPLC
Confirm identity by mass spectrometry and Western blotting with specific antibodies
This approach would yield native rplS in its physiological context, although with lower yield than recombinant expression systems.
To investigate the interactions between rplS and other ribosomal components, consider these methodological approaches:
In vitro reconstitution assays:
Express and purify recombinant rplS and potential interaction partners
Perform binding assays under various conditions (pH, salt, temperature)
Use techniques like surface plasmon resonance or isothermal titration calorimetry to determine binding kinetics and thermodynamics
Cross-linking studies:
Apply RNA-protein crosslinking methods to capture interactions with rRNA
Use protein-protein crosslinkers of various lengths to identify neighboring proteins
Analyze crosslinked complexes by mass spectrometry
Mutational analysis:
Create point mutations in conserved residues of rplS
Assess effects on ribosome assembly and function
Perform complementation studies in suitable model systems
Structural biology approaches:
Use cryo-electron microscopy to visualize rplS in the context of the whole ribosome
Employ NMR to study dynamic interactions in solution
Apply hydrogen-deuterium exchange mass spectrometry to map interaction surfaces
When analyzing sequence conservation patterns of rplS across bacterial species, researchers should employ the following statistical approaches:
Sequence conservation metrics:
Calculate per-site entropy scores to quantify variability
Use conservation indices (e.g., Valdar's weighted sum-of-pairs measure)
Apply rate4site algorithm to estimate evolutionary rates at each position
Comparative statistical methods:
Implement maximum likelihood models of sequence evolution
Calculate dN/dS ratios to detect selective pressure
Use Bayesian approaches to estimate posterior probabilities of conservation
Visualization and interpretation:
Generate sequence logos to represent conservation patterns
Map conservation scores onto structural models
Cluster sequences based on similarity patterns using appropriate distance metrics
These approaches will help distinguish between functionally constrained regions and those under relaxed selection, providing insights into the protein's evolution.
Post-translational modifications (PTMs) can significantly affect protein function. To investigate PTMs in P. amoebophila rplS:
Mass spectrometry-based approach:
Purify native or recombinant rplS under conditions that preserve PTMs
Perform tryptic digestion followed by LC-MS/MS analysis
Use multiple fragmentation methods (CID, ETD, HCD) for comprehensive coverage
Employ targeted methods like multiple reaction monitoring for specific modifications
PTM-specific detection methods:
Use phospho-specific staining or antibodies for phosphorylation
Apply glycan-specific detection reagents for glycosylation
Implement acetylation-specific antibodies for acetylation sites
Functional validation:
Create site-directed mutants that mimic or prevent modification
Assess functional consequences through in vitro translation assays
Compare modification patterns under different growth conditions
Data analysis considerations:
Use appropriate search algorithms with variable modification parameters
Apply false discovery rate controls for modification site assignment
Implement quantitative approaches to determine stoichiometry of modifications