Recombinant Rhodopirellula baltica Ribosomal RNA small subunit methyltransferase A (rsmA)

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Product Specs

Form
Lyophilized powder
Lead Time
Delivery times vary depending on the purchase method and location. Please consult your local distributor for specific delivery timelines.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, which can serve as a reference.
Shelf Life
Shelf life depends on several factors, including storage conditions, buffer components, temperature, and the protein's inherent stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquoting is recommended for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
rsmA; ksgA; RB12377; Ribosomal RNA small subunit methyltransferase A; EC 2.1.1.182; 16S rRNA; adenine(1518)-N(6)/adenine(1519)-N(6))-dimethyltransferase; 16S rRNA dimethyladenosine transferase; 16S rRNA dimethylase; S-adenosylmethionine-6-N'; N'-adenosyl(rRNA) dimethyltransferase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-284
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Rhodopirellula baltica (strain DSM 10527 / NCIMB 13988 / SH1)
Target Names
rsmA
Target Protein Sequence
MRPVSKYGQN FLIDLNLVEL IARSAEIGPS DIVLEIGTGV GSLTSIMASQ AGAILTVEID QNLFQLASEE LAPFPHVKMI QGDALKNKST FRDDIMESIR EAKSRLPDDS KFMLVANLPY NVATPIVSNL LHQDPPPDRI VVTIQKELGE RMVAGPGSKD YGALSIWIQA TCRAEIVRIL PPTVFWPRPK VDSAIVRLDV DHERGNAIPD LKYFHQTVRA LFFHRRKFLR SVVISAMKGR LDKPAIDEIL GRLGHGETAR AEELNLEQIS DLVEALRQAE LANE
Uniprot No.

Target Background

Function
This protein specifically dimethylates two adjacent adenosines (A1518 and A1519) within the loop of a conserved hairpin structure near the 3'-end of 16S rRNA in the 30S ribosomal subunit. It is believed to play a crucial role in 30S subunit biogenesis.
Database Links

KEGG: rba:RB12377

STRING: 243090.RB12377

Protein Families
Class I-like SAM-binding methyltransferase superfamily, rRNA adenine N(6)-methyltransferase family, RsmA subfamily
Subcellular Location
Cytoplasm.

Q&A

What genomic context surrounds the rsmA gene in R. baltica and how does it compare to other Planctomycetes?

The rsmA gene in R. baltica is designated as RB12377 in the genome . While examining the genomic neighborhood, researchers should note that unlike many bacteria with extensive operon structures, R. baltica has relatively few operons . The genomic context analysis should consider this organizational feature when investigating regulatory elements and functional relationships with neighboring genes. R. baltica's genome has been completely sequenced, revealing several interesting and surprising traits including numerous sulfatase genes, a fascinating set of carbohydrate-active enzymes (CAZymes), and a conspicuous C1-metabolism pathway . Understanding how rsmA fits within this genomic landscape provides crucial insights into its regulation and potential functional interactions with other cellular processes.

How can researchers distinguish between conserved and variable regions of rsmA for targeted mutagenesis studies?

When designing targeted mutagenesis studies for R. baltica rsmA, researchers should first perform multiple sequence alignments with rsmA/ksgA homologs from diverse bacterial species to identify highly conserved residues. The S-adenosylmethionine (SAM) binding motifs are typically highly conserved in methyltransferases and represent critical regions for catalytic function. Methodology for distinguishing conserved regions should include comparative analyses with structurally characterized methyltransferases, homology modeling to predict functional domains, and evolutionary rate analysis to identify positions under selective pressure. Conserved regions likely represent essential functional domains, while variable regions may confer species-specific properties or substrate preferences. These analyses provide a rational basis for designing mutagenesis experiments that can distinguish between residues essential for catalytic activity versus those involved in substrate specificity or structural stability.

What are the optimal expression systems for recombinant R. baltica rsmA and how do they impact protein functionality?

According to available information, recombinant R. baltica rsmA can be expressed in multiple systems including yeast, E. coli, baculovirus expression systems, and mammalian cells . Each system offers distinct advantages for different research applications. E. coli expression systems typically provide high protein yields and are most appropriate for basic biochemical and structural studies. During protein expression in E. coli, researchers should monitor for potential inclusion body formation, which could require optimization of induction conditions (temperature, IPTG concentration) or the addition of solubility-enhancing tags. Yeast and baculovirus systems offer improved post-translational modifications but require longer production times. The mammalian expression system provides the most authentic eukaryotic post-translational modifications but typically yields lower protein amounts at higher costs.

How does the Avi-tag biotinylation system affect rsmA activity and structural integrity?

The recombinant R. baltica rsmA is available with Avi-tag biotinylation, where the protein is biotinylated in vivo using AviTag-BirA technology . This system involves E. coli biotin ligase (BirA) catalyzing the amide linkage between biotin and a specific lysine residue in the 15-amino acid AviTag peptide. While this biotinylation provides advantages for detection and immobilization experiments, researchers should consider potential effects on protein structure and function. The positioning of the AviTag is critical—N-terminal tags may interfere with substrate binding if the N-terminus is involved in the active site architecture, while C-terminal tags might disrupt protein folding. Methodological validation should include comparing the kinetic parameters of biotinylated versus non-biotinylated rsmA to determine if the tag alters catalytic efficiency or substrate binding affinity.

What are the optimal reaction conditions and kinetic parameters for assessing rsmA methyltransferase activity?

The optimal reaction conditions for R. baltica rsmA methyltransferase activity require careful determination, considering the organism's marine origin. R. baltica was isolated from the Baltic Sea, suggesting adaptation to marine conditions . Therefore, researchers should test activity across a range of salt concentrations (0-500 mM NaCl) to determine optimal ionic strength. As a methyltransferase, rsmA requires S-adenosylmethionine (SAM) as the methyl donor, and assays should titrate SAM concentrations to determine Km values. The enzyme likely exhibits classic Michaelis-Menten kinetics, with activity measurements focusing on the transfer of methyl groups to the adenine residues of the 16S rRNA substrate. Kinetic parameters including Km for both SAM and RNA substrate, kcat (turnover number), and catalytic efficiency (kcat/Km) should be determined under various pH conditions (typically pH 6.5-8.5) and temperatures (4-40°C) to establish optimal reaction parameters.

How does the life cycle stage of R. baltica influence rsmA expression and activity?

R. baltica exhibits a complex life cycle with distinct morphological stages, including motile swarmer cells, budding cells, and rosette formations . This lifecycle resembles that of Caulobacter crescentus, with transitions between motile and sessile morphotypes . The expression of many genes changes significantly across these lifecycle stages, with particular shifts observed between exponential, transition, and stationary growth phases. While specific data on rsmA expression across the lifecycle is not provided in available sources, researchers should expect potential differential regulation based on the growth phase-dependent expression patterns observed for other R. baltica genes. Gene expression studies using microarrays have revealed that numerous genes, including many hypothetical proteins, are differentially regulated during the R. baltica life cycle and morphological differentiation .

What structural features distinguish R. baltica rsmA from other bacterial methyltransferases?

The structural features of R. baltica rsmA can be predicted through comparative analysis with related methyltransferases and homology modeling. The amino acid sequence (MRPVSKYGQNFLIDLNLVELIARSAEIGPSDIVLEIGTGVGSLTSIMASQAGAILTVE...) reveals characteristic motifs of S-adenosylmethionine-dependent methyltransferases . Particularly noteworthy is that when expressing the R. baltica GpgS (another methyltransferase), researchers found that the originally annotated sequence contained 80 additional amino acids at the N-terminus that lacked homology with known GpgSs and resulted in an inactive protein . This highlights the importance of careful sequence analysis when investigating R. baltica enzymes. Researchers should examine whether rsmA contains unique insertions or structural elements that might confer specificity for the 16S rRNA substrate or reflect adaptations to the organism's marine environment.

How can researchers utilize structural information to develop selective inhibitors of rsmA activity?

To develop selective inhibitors of R. baltica rsmA, researchers should employ structure-based drug design approaches starting with solving or modeling the three-dimensional structure of the protein. This structural information allows for the identification of potential binding pockets, particularly the SAM-binding site and substrate recognition regions. Virtual screening of compound libraries against these pockets can identify candidate inhibitors, which can then be validated through in vitro activity assays. Researchers should focus on compounds that display competitive inhibition with respect to SAM or the RNA substrate. Specificity can be achieved by targeting unique structural features of R. baltica rsmA not shared with human methyltransferases. Additionally, determining the co-crystal structures of rsmA with its substrates and potential inhibitors provides valuable information for rational design of more potent and selective compounds.

What conformational changes occur in rsmA during substrate binding and catalysis?

The conformational changes in R. baltica rsmA during substrate binding and catalysis likely follow a sequential binding mechanism where SAM and the RNA substrate induce distinct structural rearrangements. While specific information for R. baltica rsmA is not available in the search results, methyltransferases typically undergo domain movements that position the methyl donor and acceptor in optimal orientation for catalysis. Researchers can investigate these conformational changes using a combination of structural and biophysical techniques. X-ray crystallography of rsmA in different ligand-bound states can capture distinct conformational snapshots. Hydrogen-deuterium exchange mass spectrometry (HDX-MS) can identify regions with altered solvent accessibility upon substrate binding. Fluorescence spectroscopy with strategically placed fluorophores can monitor distance changes during the catalytic cycle. These approaches collectively provide insights into the molecular mechanism of methyl transfer catalyzed by rsmA.

How does rsmA activity contribute to ribosome biogenesis and function in R. baltica?

The rsmA enzyme plays a crucial role in ribosome biogenesis by catalyzing the dimethylation of specific adenosine residues in 16S rRNA. This modification is essential for proper ribosome assembly and function in most bacteria. In R. baltica, this process likely occurs within the context of the organism's unusual cellular compartmentalization, as Planctomycetes exhibit intracellular compartmentalization that distinguishes them from most bacteria . The methylation of 16S rRNA by rsmA probably represents a critical quality control checkpoint in ribosome maturation. Researchers investigating this process should examine how rsmA-mediated methylation influences ribosomal subunit association, translation efficiency, and fidelity in R. baltica. Particular attention should be given to how this process might be integrated with the organism's life cycle, as R. baltica undergoes significant morphological changes from motile swarmer cells to sessile cells with holdfast substances .

What phenotypic changes occur in R. baltica upon disruption or overexpression of rsmA?

While specific information about rsmA knockout or overexpression in R. baltica is not provided in the search results, researchers can anticipate several phenotypic changes based on the protein's function and studies in other bacteria. Disruption of rsmA would likely lead to unmethylated 16S rRNA, potentially resulting in defective ribosome assembly, reduced growth rates, and increased sensitivity to antibiotics targeting protein synthesis. The effects might be particularly pronounced during stress conditions or specific stages of the R. baltica life cycle. Overexpression might cause methylation of non-target RNAs or sequestration of SAM from other methyltransferases, leading to broader metabolic disruptions. Given R. baltica's complex life cycle with distinct morphological stages , researchers should examine how rsmA disruption affects the transition between swarmer cells, budding cells, and rosette formations.

How is rsmA activity coordinated with other RNA modification enzymes during ribosome maturation?

The coordination of rsmA with other RNA modification enzymes during ribosome maturation in R. baltica likely follows a hierarchical and sequential process. Although specific details for R. baltica are not provided in the search results, researchers should investigate potential interactions between rsmA and other RNA modification enzymes through co-immunoprecipitation and proximity labeling approaches. The timing of rsmA-mediated methylation relative to other modifications can be determined by analyzing modification patterns in ribosome assembly intermediates. R. baltica has a particularly interesting RNA metabolism given its complex life cycle and morphological changes . Therefore, researchers should examine whether the coordination of RNA modifications varies across different stages of the life cycle, potentially contributing to growth phase-specific translation regulation or adaptation to changing environmental conditions.

What are the most sensitive assays for detecting and quantifying rsmA-catalyzed methylation in vitro and in vivo?

For in vitro detection of rsmA-catalyzed methylation, researchers should employ radiometric assays using [³H]-SAM or [¹⁴C]-SAM as methyl donors, which provide high sensitivity and direct measurement of methyl transfer to RNA substrates. For non-radioactive alternatives, mass spectrometry-based approaches offer excellent sensitivity and site-specificity. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) can quantify the dimethyladenosine content in digested RNA samples, while MALDI-TOF analysis of oligonucleotides can map specific methylation sites. For in vivo studies, RNA-seq approaches combined with methylation-sensitive reverse transcription can identify methylation sites transcriptome-wide. Additionally, antibodies specific for dimethyladenosine can be used in immunoprecipitation assays to enrich for methylated RNA species. When designing these assays, researchers should consider the natural substrate specificity of rsmA, which likely targets specific structural contexts within the 16S rRNA rather than simple sequence motifs.

How can CRISPR-Cas9 technology be optimized for genetic manipulation of rsmA in R. baltica?

Optimizing CRISPR-Cas9 for genetic manipulation of rsmA in R. baltica requires careful consideration of the organism's unique biology. Researchers should design sgRNAs targeting the rsmA coding sequence (RB12377) with minimal off-target effects, considering R. baltica's GC content and codon usage. For delivery, electroporation protocols must be optimized specifically for R. baltica's unusual cell wall composition, as Planctomycetes possess peptidoglycan-free proteinaceous cell walls . Both knockout and knockdown approaches should be considered—complete knockout for studying essentiality and phenotypic consequences, and CRISPRi (using catalytically inactive dCas9) for controlled downregulation to study dosage effects. When designing homology-directed repair templates, researchers should include selectable markers compatible with R. baltica's antibiotic sensitivity profile. Importantly, the effectiveness of genetic modifications should be verified across different life cycle stages, as R. baltica undergoes significant morphological changes from swarmer cells to sessile rosette formations .

What are the challenges and solutions for studying rsmA-RNA interactions through structural biology approaches?

Studying rsmA-RNA interactions through structural biology approaches presents several challenges specific to this system. The primary challenge is obtaining sufficient quantities of homogeneous rsmA-RNA complexes for structural analysis. RNA substrates must be carefully designed to capture the natural target sequence of rsmA while maintaining a size amenable to structural studies. For X-ray crystallography, researchers should explore crystallization conditions that stabilize the rsmA-RNA complex, potentially including non-hydrolyzable SAM analogs to capture the catalytically relevant conformation. Cryo-electron microscopy offers advantages for visualizing rsmA in the context of larger ribosomal assembly intermediates, though sample heterogeneity must be addressed through careful classification of particle images. NMR spectroscopy can provide valuable information about dynamic regions and transient interactions but requires isotopic labeling of both protein and RNA components. Cross-linking mass spectrometry using UV-activatable nucleotide analogs can capture direct contact points between rsmA and its RNA substrate.

How can recombinant rsmA be utilized as a tool for studying ribosome assembly pathways?

Recombinant R. baltica rsmA can serve as a powerful tool for studying ribosome assembly pathways through several innovative approaches. Researchers can use catalytically active rsmA to monitor the accessibility of its target adenosines in ribosomal assembly intermediates, providing insights into the structural rearrangements that occur during maturation. By comparing methylation efficiency across different assembly states, researchers can determine the precise timing of rsmA action in the assembly pathway. Additionally, catalytically inactive rsmA mutants can serve as probes that bind but don't modify their targets, potentially stalling assembly at specific stages for detailed characterization. Given R. baltica's unusual cellular compartmentalization and complex life cycle , studying rsmA-mediated steps in ribosome assembly may reveal unique adaptations in this process compared to model organisms. This approach could help elucidate how ribosome assembly is coordinated with the morphological transitions that occur during R. baltica's development.

What insights can comparative analysis of rsmA across diverse Planctomycetes provide about evolutionary adaptation?

Comparative analysis of rsmA across diverse Planctomycetes can provide valuable insights into evolutionary adaptation within this unique bacterial phylum. Planctomycetes are abundant in aquatic habitats and play significant roles in carbon cycling , suggesting potential specialization of their translational machinery for specific ecological niches. By analyzing sequence conservation, researchers can identify core catalytic residues versus diversified regions that might reflect adaptation to different environmental conditions. Particularly interesting would be comparisons between marine Planctomycetes like R. baltica and those from other habitats, examining whether differences in rsmA correlate with habitat-specific factors such as temperature, salinity, or nutrient availability. Furthermore, understanding how rsmA function is integrated with the distinctive features of Planctomycetes—including their peptidoglycan-free cell walls, intracellular compartmentalization, and reproduction via budding —could reveal unique evolutionary adaptations in ribosome biogenesis pathways.

What potential biotechnological applications exist for engineered variants of R. baltica rsmA?

Engineered variants of R. baltica rsmA hold potential for several biotechnological applications based on the protein's methyltransferase activity and the unique properties of R. baltica. Given that R. baltica has been highlighted for its "potential for biotechnological exploitation" with "enzymes for the synthesis of complex organic molecules with possible applications in the pharmaceutical field" , rsmA could contribute to this biotechnological toolkit. Engineered rsmA variants with altered substrate specificity could be developed for targeted RNA modification, potentially creating novel tools for synthetic biology applications. The enzyme's salt resistance—a feature noted in R. baltica —makes it potentially valuable for industrial processes conducted under high salt conditions. Additionally, substrate-specific rsmA variants could be developed as biosensors for detecting specific RNA sequences or structures. Researchers could also explore the potential of modified rsmA as a selection marker in synthetic biology applications, where methylation status of specific RNAs could serve as a detectable phenotype.

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