Recombinant Rhodopirellula baltica DNA-directed RNA polymerase subunit alpha (rpoA)

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Product Specs

Form
Lyophilized powder
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Lead Time
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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 consolidate 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% and can serve as a guideline.
Shelf Life
Shelf life depends on several factors including storage conditions, buffer composition, temperature, and protein 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
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
rpoA; RB12626; DNA-directed RNA polymerase subunit alpha; RNAP subunit alpha; EC 2.7.7.6; RNA polymerase subunit alpha; Transcriptase subunit alpha
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-331
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Rhodopirellula baltica (strain DSM 10527 / NCIMB 13988 / SH1)
Target Names
rpoA
Target Protein Sequence
MTMHIRWRGM ELPSSLEVDR DSLTQTYGKF SAEPFERGFG ASIGNSMRRV LLSSLVGSAV TQIKIRGAQH EFTTIPGVLE DVTDIVLNVK SLIVNSNTDS TRVITVERNT AGVVTGADVQ TDADVEIINK DHVICTLTDD VPFMMEMVVE TGRGYVPSTE HSSVDHEIGI IPIDAVFSPI VRVRYEVEAT RVGQKTNYDR LNLEIWTDGT INPEMALTEA AKILRKHLNP FVQYRELGPS IFSAARGGAG SPEAQLEAKL NMTLADLRLS VRANNCLESE NIMTVRDLVQ RTEDSLLEVR NFGDTTLNEV REKLSQYGLH LGMRVPNQPL F
Uniprot No.

Target Background

Function
DNA-dependent RNA polymerase catalyzes the transcription of DNA into RNA using ribonucleoside triphosphates as substrates.
Database Links

KEGG: rba:RB12626

STRING: 243090.RB12626

Protein Families
RNA polymerase alpha chain family

Q&A

What is the function of RNA polymerase alpha subunit (rpoA) in Rhodopirellula baltica?

The rpoA gene in R. baltica encodes the alpha subunit of DNA-dependent RNA polymerase (RNAP), which plays crucial roles in:

  • Initiating the assembly of the RNAP holoenzyme through dimerization

  • Facilitating binding to promoter regions through its C-terminal domain (α-CTD)

  • Interacting with transcriptional regulators to modulate gene expression

The alpha subunit comprises two domains: the N-terminal domain (α-NTD) and C-terminal domain (α-CTD), forming a core unit of the RNAP complex that catalyzes the transcription of DNA into RNA using ribonucleoside triphosphates as substrates .

What expression systems are optimal for producing recombinant R. baltica rpoA?

For efficient expression of recombinant R. baltica rpoA:

Expression System Comparison:

SystemAdvantagesConsiderationsRecommended Tags
E. coli BL21(DE3)High yield, rapid growthMay form inclusion bodiesHis-tag, for affinity purification
E. coli RosettaAddresses rare codon issuesSlightly slower growthHis-tag or MBP fusion
Cell-free systemsAvoids toxicity issuesLower yieldHis-tag

Methodology:

  • Clone the rpoA gene into a vector with an inducible promoter (T7 or tac)

  • Transform into expression host

  • Optimize expression conditions (temperature 16-28°C, IPTG concentration 0.1-1.0 mM)

  • Extract and purify using affinity chromatography, as demonstrated for the isolation of functional RNAP complexes containing His-tagged α-subunit

How can we verify the functional integrity of purified recombinant R. baltica rpoA?

Key Verification Methods:

  • Electrophoretic Mobility Shift Assay (EMSA):

    • Used to determine DNA-binding capacity

    • Technique demonstrated in studies showing differential binding of wild-type vs. mutant RNAP to promoter regions

    • Can reveal functional aspects of the α-CTD domain's interaction with DNA

  • In vitro Transcription Assay:

    • Reconstitute RNAP holoenzyme with recombinant subunits

    • Measure RNA synthesis using template DNA and NTP substrates

    • Quantify transcription products by gel electrophoresis or radioactive labeling

  • Circular Dichroism Spectroscopy:

    • Assess proper protein folding and secondary structure

    • Particularly important when comparing wild-type and mutant variants

How does temperature stress influence rpoA expression and function in R. baltica?

R. baltica demonstrates distinct transcriptional responses to temperature shifts, with rpoA playing a central role in these adaptations:

Heat Shock Response (28°C to 37°C):

  • Rapid transcriptional changes occur within 10 minutes, with 5% of genes regulated initially, increasing to 10% after 300 minutes

  • Up-regulation of genes in DNA replication, recombination and repair [L], post-translational modification [O], and transcription [K] clusters

  • The rpoA expression pattern facilitates adaptation to higher temperatures through activation of chaperone systems

Cold Shock Response (28°C to 6°C):

  • Altered expression of genes involved in lipid metabolism and stress proteins

  • Changes in rpoA function likely contribute to the reorganization of membrane composition and protein folding machinery

  • Differential regulation of transposases (three times more under heat stress than cold stress)

Methodology for studying rpoA under temperature stress:

  • Grow R. baltica cultures at optimal temperature (28°C)

  • Subject cultures to temperature shift (heat shock at 37°C or cold shock at 6°C)

  • Collect samples at various time points (10, 20, 40, 60, 300 min)

  • Extract RNA and perform transcriptomic analysis

  • Monitor rpoA expression changes and its downstream effects on global gene expression

What is the relationship between rpoA and the expression of sulfatase genes in R. baltica?

R. baltica contains an exceptionally high number of sulfatase genes (110), representing the highest density in any sequenced bacterial genome (15.3 per Mb) . The relationship between rpoA and sulfatase expression is complex:

Key Findings:

  • Sulfatase genes are distributed across the R. baltica genome in 22 clusters containing 2-5 genes

  • 59 of the 110 predicted sulfatases contain signal peptides, suggesting secretion

  • 11 predicted sulfatases have high expression level predictions (PHX)

  • Many sulfatases show constitutive expression even during growth on glucose

rpoA's Role in Sulfatase Regulation:

  • As the alpha subunit of RNAP, rpoA likely influences the differential expression of sulfatase genes under varying environmental conditions

  • Microarray experiments with R. baltica cultures grown on different oligosaccharides (iota/kappa carrageenan, alginate, fucane) reveal substrate-specific expression patterns of sulfatases

  • The C-terminal domain of rpoA may interact with regulatory elements controlling sulfatase expression

Experimental Approaches:

  • Chromatin immunoprecipitation (ChIP) using tagged rpoA to identify direct binding to sulfatase gene promoters

  • Site-directed mutagenesis of rpoA α-CTD to assess impacts on sulfatase gene expression

  • Transcriptome analysis comparing wild-type and rpoA variant strains during growth on sulfated polysaccharides

How does salt stress affect rpoA function and the transcriptional response in R. baltica?

R. baltica, as a marine organism, exhibits distinct adaptations to salinity changes, with rpoA mediating many transcriptional responses:

High Salinity Response (17.5‰ to 59.5‰):

  • Over 3000 of R. baltica's 7325 genes are affected by salinity changes

  • Modulation of genes encoding compatible solutes, ion transporters, and morphological factors

  • Specific transposases are induced under salt stress, suggesting genomic rearrangements as part of adaptation

rpoA's Involvement:

  • The alpha subunit must maintain function under varying ionic conditions

  • May mediate salinity-specific transcriptional programs through promoter recognition

  • Potentially interacts with specialized sigma factors activated during osmotic stress

Experimental Protocol:

  • Culture R. baltica at standard salinity (17.5‰)

  • Shift to high salinity medium (59.5‰)

  • Sample at defined intervals (10, 20, 40, 60, 300 min)

  • Perform RNA extraction and microarray analysis

  • Identify rpoA-dependent transcriptional changes using RNAP-DNA binding assays

How do mutations in rpoA affect the life cycle and morphological transitions of R. baltica?

R. baltica has a complex life cycle with distinct morphological phases, and rpoA likely plays a regulatory role in these transitions:

Life Cycle Phases and rpoA Influence:

  • Early exponential phase: dominated by swarmer and budding cells

  • Transition phase: shift to single cells, budding cells, and rosettes

  • Stationary phase: dominated by rosette formations

Cell Cycle-Related Gene Expression:

  • Transcriptional profiling suggests many hypothetical proteins are active within the cell cycle and morphology changes

  • The stationary phase shows induction of genes related to energy production, amino acid biosynthesis, and stress response

  • rpoA likely coordinates cell-cycle progression with cell growth, temporal and spatial control of DNA replication, and cytokinesis

Research Methodology:

  • Generate site-directed mutations in rpoA's α-CTD domain

  • Introduce mutations into R. baltica using genetic tools

  • Monitor morphological transitions through microscopy

  • Perform transcriptome analysis at different growth phases

  • Compare wild-type and mutant strains for differential gene expression patterns affecting cell division and morphogenesis

Expected Results: Mutations in rpoA may disrupt normal morphological transitions, particularly affecting rosette formation through altered expression of adhesion-related genes and polysaccharide export systems.

How can site-directed mutagenesis of rpoA be used to study transcriptional regulation in R. baltica?

Site-directed mutagenesis of rpoA provides a powerful approach to understand its role in transcriptional regulation:

Strategic Mutation Targets:

  • α-CTD domain residues involved in promoter DNA contact

  • Interface residues mediating interactions with transcriptional regulators

  • Residues potentially involved in environmental sensing

Experimental Design:

  • Identify conserved and variable regions in R. baltica rpoA through sequence alignment with other bacterial species

  • Generate mutations in specific domains (particularly α-CTD)

  • Express and purify recombinant wild-type and mutant proteins

  • Perform DNA-binding assays (EMSA) to assess promoter interactions

  • Reconstitute RNAP holoenzyme with wild-type or mutant rpoA

  • Conduct in vitro transcription assays with various promoters

Case Study Application:
Similar approaches with rpoA mutations in Pseudomonas aeruginosa demonstrated that a single amino acid substitution (T262A) in the α-CTD domain altered the interaction between RNAP and promoter DNA, affecting the expression of the mexEF-oprN operon and subsequent cellular phenotypes .

What is the evolutionary significance of R. baltica rpoA in relation to the phylogenetic position of Planctomycetes?

The phylogenetic position of Planctomycetes has been controversial, and analysis of rpoA contributes valuable insights:

Phylogenetic Analysis Findings:

  • Concatenated amino acid sequences of RNA polymerase subunits (including rpoA) from R. baltica and over 90 other genomes support a relationship between Planctomycetes and Chlamydiae

  • This affiliation remains reasonably stable during stepwise filtering of less-conserved sites from alignments

  • In some analyses, R. baltica shifts to a deep branching position adjacent to the Thermotoga/Aquifex clade, but this position depends on site selection and treeing algorithm

Research Strategy:

  • Extract rpoA sequences from diverse bacterial phyla

  • Perform multiple sequence alignments with focus on conserved domains

  • Construct phylogenetic trees using maximum likelihood and Bayesian methods

  • Assess the consistency of Planctomycetes positioning relative to other bacterial groups

  • Examine signature sequences or structural features unique to Planctomycetes rpoA

Table: Comparison of Key rpoA Features Across Bacterial Phyla

PhylumrpoA Length (aa)Unique FeaturesPhylogenetic Affiliation
Planctomycetes (R. baltica)329Extended C-terminal domainClose to Chlamydiae
Proteobacteria315-329Conserved HTH motifSeparate clade
Chlamydiae325-330Similar α-CTD structureClose to Planctomycetes
Thermotoga/Aquifex305-315Compact structureDeep branching position

The analysis of rpoA contradicts a deep branching position of Planctomycetes within the bacterial domain and reaffirms their proposed relatedness to Chlamydiae .

What is the impact of rpoA on stress response pathways and adaptation mechanisms in R. baltica?

The rpoA subunit plays a central role in coordinating stress responses in R. baltica:

Global Stress Response Coordination:

  • Transcriptional profiling identified over 3000 genes (out of 7325) affected by temperature and/or salinity changes

  • Many genes of unknown function were found to be differentially regulated during stress conditions

  • rpoA likely mediates these responses through interaction with stress-specific sigma factors and regulators

Stress-Specific Adaptations:

  • Heat shock: Induction of chaperone genes and numerous transposases

  • Cold shock: Alteration of genes in lipid metabolism and stress proteins

  • Salt stress: Modulation of genes for compatible solutes, ion transporters, and morphology

Research Methodology:

  • Express recombinant R. baltica rpoA with various tags for in vivo studies

  • Perform chromatin immunoprecipitation followed by sequencing (ChIP-seq) to identify rpoA-bound promoters under different stress conditions

  • Conduct RNA-seq analysis comparing wild-type and rpoA variant strains

  • Use differential expression analysis to identify rpoA-dependent stress response genes

  • Validate findings through proteomics approaches to correlate transcriptional changes with protein abundances

Expected Outcomes:
Identification of specific promoter elements recognized by rpoA under different stress conditions, revealing the molecular mechanisms underlying R. baltica's remarkable environmental adaptability.

How can researchers overcome challenges in expressing and purifying functional recombinant R. baltica rpoA?

Common Challenges and Solutions:

ChallengeCauseSolution
Low solubilityImproper folding, inclusion bodiesReduce induction temperature (16-18°C), use solubility tags (MBP, SUMO)
DegradationProtease activityAdd protease inhibitors, express in protease-deficient strains
Low activityImproper folding or missing cofactorsCo-express with chaperones, add zinc ions (rpoA is a zinc-binding protein)
AggregationConcentration too high, buffer issuesOptimize buffer conditions (salt, pH), add stabilizing agents

Purification Strategy:

  • Use affinity chromatography (His-tag) for initial capture

  • Apply ion exchange chromatography to remove contaminants

  • Perform size exclusion chromatography for final polishing

  • Verify purity by SDS-PAGE and activity by functional assays

What are the best methods for studying rpoA-DNA interactions specific to R. baltica?

Advanced Techniques for rpoA-DNA Interaction Studies:

  • Electrophoretic Mobility Shift Assay (EMSA):

    • Used successfully to demonstrate differential binding of wild-type vs. mutant RNAP containing different rpoA variants to promoter regions

    • Can reveal binding affinity and specificity differences

  • DNase I Footprinting:

    • Identifies specific DNA sequences protected by rpoA binding

    • Provides base-pair resolution of binding sites

  • Chromatin Immunoprecipitation (ChIP):

    • Maps genome-wide binding sites in vivo

    • Can be coupled with sequencing (ChIP-seq) for comprehensive analysis

  • Surface Plasmon Resonance (SPR):

    • Measures real-time kinetics of rpoA-DNA interactions

    • Determines association/dissociation rates and binding affinities

  • Microscale Thermophoresis (MST):

    • Measures interactions in solution with minimal sample consumption

    • Suitable for studying effects of environmental conditions on binding

These methodologies provide complementary information about how R. baltica rpoA interacts with DNA under various physiological conditions, revealing its role in transcriptional regulation.

What emerging technologies could enhance our understanding of R. baltica rpoA function?

Cutting-Edge Approaches:

  • Cryo-Electron Microscopy:

    • Determine high-resolution structures of R. baltica RNAP with rpoA in different conformational states

    • Visualize interactions with DNA and regulatory factors

  • Single-Molecule Techniques:

    • Track real-time dynamics of transcription initiation and elongation

    • Observe conformational changes in rpoA during transcription

  • CRISPR-Cas9 Genome Editing:

    • Create precise mutations in the native rpoA gene

    • Study phenotypic effects in the natural cellular context

  • Protein-Protein Interaction Mapping:

    • Identify the complete interactome of rpoA using proximity labeling techniques

    • Discover novel regulatory interactions specific to Planctomycetes

  • Computational Modeling:

    • Simulate rpoA dynamics and interactions under various environmental conditions

    • Predict effects of mutations on transcriptional output

These approaches would provide unprecedented insights into the unique aspects of transcriptional regulation in R. baltica and potentially reveal novel antibacterial targets or biotechnological applications.

How might R. baltica rpoA research contribute to understanding the unique biology of Planctomycetes?

Potential Research Impacts:

  • Cell Compartmentalization:

    • Elucidate how rpoA regulates genes involved in the unique cellular organization of Planctomycetes

    • Understand transcriptional control of compartment-specific proteins

  • Sulfatase Regulation Network:

    • Map the regulatory network controlling the 110 sulfatase genes

    • Identify how rpoA coordinates their expression in response to environmental substrates

  • Evolutionary Insights:

    • Clarify the evolutionary position of Planctomycetes through detailed analysis of the transcription machinery

    • Understand potential horizontal gene transfer events involving rpoA

  • Environmental Adaptation:

    • Reveal how transcriptional regulation through rpoA enables adaptation to diverse marine environments

    • Identify unique regulatory mechanisms that allow survival under changing conditions

  • Biotechnological Applications:

    • Develop engineered rpoA variants to optimize expression of valuable enzymes from R. baltica

    • Create transcriptional biosensors based on R. baltica rpoA-promoter interactions

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