Recombinant Bacteroides thetaiotaomicron DNA-directed RNA polymerase subunit alpha (rpoA)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchase method and location. Please consult your local distributor for precise delivery estimates.
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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 collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50% and can serve as a guideline.
Shelf Life
Shelf life depends on various 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
Store at -20°C/-80°C upon receipt. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The specific tag type is determined during production. If you require a particular tag, please inform us, and we will prioritize its inclusion.
Synonyms
rpoA; BT_2701; 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
1-330
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / NCTC 10582 / E50 / VPI-5482)
Target Names
rpoA
Target Protein Sequence
MAILAFQKPD KVLMLEADSR FGKFEFRPLE PGFGITVGNA LRRILLSSLE GFAITTIRID GVEHEFSSVP GVKEDVTNII LNLKQVRFKQ VVEEFESEKV SITVENSSEF KAGDIGKYLT GFEVLNPELV ICHLDSKATM QIDITINKGR GYVPADENRE YCTDVNVIPI DSIYTPIRNV KYAVENFRVE QKTDYEKLVL EISTDGSIHP KEALKEAAKI LIYHFMLFSD EKITLESNDT DGNEEFDEEV LHMRQLLKTK LVDMDLSVRA LNCLKAADVE TLGDLVQFNK TDLLKFRNFG KKSLTELDDL LESLNLSFGT DISKYKLDKE
Uniprot No.

Target Background

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

KEGG: bth:BT_2701

STRING: 226186.BT_2701

Protein Families
RNA polymerase alpha chain family

Q&A

What is the role of rpoA in Bacteroides thetaiotaomicron?

The DNA-directed RNA polymerase subunit alpha (rpoA) in B. thetaiotaomicron serves as a fundamental component of the RNA polymerase complex responsible for transcribing DNA into RNA. This subunit performs several essential functions:

  • Initiates the assembly of the RNA polymerase complex through dimerization

  • Interacts with various transcriptional regulators to modulate gene expression

  • Recognizes upstream promoter elements to position the polymerase at appropriate transcription start sites

  • Provides structural support for the entire RNA polymerase complex

In B. thetaiotaomicron specifically, rpoA likely plays a crucial role in regulating the expression of genes involved in polysaccharide utilization and metabolism. This bacterium is known for efficiently breaking down complex poly- and mono-saccharides into beneficial short-chain fatty acids (SCFAs), which are important for both host health and maintaining microbial ecological balance .

What expression systems are most effective for producing recombinant B. thetaiotaomicron rpoA?

Several expression systems can be employed for the production of recombinant B. thetaiotaomicron rpoA, each with distinct advantages and limitations:

Expression SystemAdvantagesChallengesTypical Yield
E. coli BL21(DE3)High yield, well-established protocolsPotential folding issues due to codon bias10-15 mg/L
E. coli Rosetta™Better handling of rare codons found in BacteroidesMay still present folding challenges8-12 mg/L
Native B. thetaiotaomicronNatural post-translational modificationsMore complex cultivation requirements, lower yield2-5 mg/L
Cell-free systemRapid production, avoids toxicity issuesHigher cost, potentially lower yield3-7 mg/L

For optimal expression, follow this methodological approach:

  • Clone the rpoA gene from B. thetaiotaomicron genomic DNA using PCR with specific primers designed to include appropriate restriction sites

  • Insert the gene into an expression vector with an affinity tag (His-tag recommended)

  • Transform into the selected expression host

  • Optimize expression conditions through systematic testing of temperature (18-37°C), inducer concentration, and induction duration

  • Consider codon optimization if expression levels are suboptimal

How can I verify the identity and purity of recombinant B. thetaiotaomicron rpoA?

Verifying the identity and purity of recombinant B. thetaiotaomicron rpoA requires a multi-method approach:

  • SDS-PAGE analysis: Confirm the expected molecular weight (~36-38 kDa) and assess initial purity

  • Western blotting: Use anti-His tag antibodies (or specific anti-rpoA antibodies if available) to confirm protein identity

  • Mass spectrometry:

    • Peptide mass fingerprinting via tryptic digestion and MALDI-TOF MS

    • Liquid chromatography-tandem mass spectrometry (LC-MS/MS) for sequence confirmation

  • Functional assays:

    • In vitro transcription assays to confirm activity

    • DNA-binding assays to verify the C-terminal domain functionality

  • Structural integrity assessment:

    • Circular dichroism (CD) spectroscopy to confirm proper secondary structure

    • Size exclusion chromatography to verify oligomeric state (expected to form dimers)

    • Thermal shift assays to assess stability under various buffer conditions

The PCR amplification parameters should be set as described in the literature: 95°C pre-denaturation for 5 min, followed by 35 cycles of 95°C for 30s, 54°C for 30s, and 72°C for 1 min, with a final extension at 72°C for 5 min .

How does the structure of B. thetaiotaomicron rpoA relate to its function in transcriptional regulation?

B. thetaiotaomicron rpoA, like other bacterial RNA polymerase alpha subunits, possesses a two-domain structure connected by a flexible linker:

DomainApproximate Position (aa)Function
N-terminal domain (NTD)1-235Dimerization, assembly with beta and beta' subunits
Flexible linker236-255Allows independent movement of domains
C-terminal domain (CTD)256-329DNA binding, interaction with transcription factors

The structure-function relationship can be examined through:

  • The NTD primarily mediates dimerization and serves as the assembly foundation for the RNA polymerase core enzyme. This domain is highly conserved across bacterial species due to its fundamental role.

  • The flexible linker allows the CTD to move independently of the NTD, enabling the CTD to interact with upstream promoter elements and various transcription factors without disrupting the core enzyme assembly.

  • The CTD contains a helix-hairpin-helix motif that recognizes the UP element in promoters, particularly those involved in regulating carbohydrate metabolism genes. In B. thetaiotaomicron, this domain likely has specialized adaptations for binding promoters of polysaccharide utilization loci (PULs) and CAZyme clusters, which are upregulated during growth on specific polysaccharides .

  • Surface-exposed residues in the CTD interact with transcription factors that are specific to B. thetaiotaomicron's metabolic pathways, including those involved in carbohydrate utilization and stress response.

What methodologies are recommended for optimizing the purification of recombinant B. thetaiotaomicron rpoA?

Purification of recombinant B. thetaiotaomicron rpoA can be optimized through this comprehensive methodological approach:

  • Initial Extraction:

    • For E. coli expression systems, use BugBuster® or sonication in extraction buffer

    • Include protease inhibitors (PMSF, leupeptin, pepstatin)

    • Add DNase I to reduce viscosity from nucleic acid contamination

  • Affinity Chromatography:

    • For His-tagged rpoA: Use Ni-NTA resin with stepwise imidazole elution (20, 50, 250 mM)

    • For GST-tagged rpoA: Use glutathione agarose with reduced glutathione elution

  • Buffer Optimization:

    Buffer ComponentRecommended RangeEffect on Purification
    NaCl150-300 mMReduces non-specific interactions
    Glycerol5-15%Enhances protein stability
    DTT or BME1-5 mMPrevents oxidation of cysteine residues
    pH7.5-8.0Optimal for protein stability
    Tris or HEPES25-50 mMProvides buffering capacity
  • Secondary Purification Steps:

    • Ion-exchange chromatography (IEX): Q-sepharose column at pH 8.0

    • Size exclusion chromatography: Superdex 200 to separate monomers, dimers, and aggregates

    • Heparin affinity chromatography: Exploits rpoA's natural affinity for DNA-like molecules

  • Quality Control Checkpoints:

    • After each purification step, analyze samples by SDS-PAGE

    • Verify protein identity by Western blot

    • Assess activity through functional assays before proceeding

  • Storage Optimization:

    • Test stability in different buffers using thermal shift assays

    • Add stabilizing agents (glycerol 25%, small amounts of reducing agent)

    • Aliquot and flash-freeze in liquid nitrogen for -80°C storage

How can transcriptome analysis be utilized to study rpoA function in B. thetaiotaomicron?

Transcriptome analysis provides powerful insights into rpoA function in B. thetaiotaomicron by revealing its impact on global gene expression patterns. A comprehensive methodological approach includes:

  • Experimental Design:

    • Create rpoA variants through site-directed mutagenesis

    • Express wild-type and mutant rpoA in B. thetaiotaomicron

    • Grow cultures under different conditions (various carbon sources, stress conditions)

    • Harvest cells at multiple time points for RNA extraction

  • RNA-Seq Analysis:

    • Extract total RNA using specialized kits for gram-negative bacteria

    • Remove rRNA through commercial kits to enrich for mRNA

    • Prepare cDNA libraries and perform high-throughput sequencing

    • Map reads to the B. thetaiotaomicron genome

    • Perform differential expression analysis between wild-type and mutant strains

  • ChIP-Seq for rpoA Binding Sites:

    • Cross-link protein-DNA complexes in vivo

    • Immunoprecipitate rpoA-bound DNA fragments

    • Sequence and map binding sites throughout the genome

    • Correlate binding patterns with transcriptional changes

    • Identify specific binding motifs in promoter regions

  • Data Integration and Interpretation:

    • Integrate RNA-Seq with ChIP-Seq to correlate binding with expression changes

    • Classify affected genes by functional categories

    • Identify specific pathways under rpoA control

    • Compare results across different growth conditions

  • Validation Experiments:

    • Quantitative RT-PCR for selected genes

    • Reporter gene assays for specific promoters

    • In vitro transcription assays with purified components

Recent transcriptome analysis of Bacteroides species has revealed the up-regulation of polysaccharide utilization loci (PULs) and carbohydrate-active enzyme (CAZyme) clusters when growing on specific polysaccharides , providing a foundation for understanding the role of rpoA in regulating these critical metabolic pathways.

How does rpoA contribute to oxidative stress responses in B. thetaiotaomicron?

B. thetaiotaomicron exhibits unique metabolic responses to oxidative stress , and rpoA likely plays a central role in coordinating these transcriptional adaptations. Advanced investigation of this relationship involves:

  • Stress-Specific Transcriptional Regulation:

    • rpoA mediates interactions with stress-specific sigma factors that redirect RNA polymerase to stress response genes

    • The C-terminal domain (CTD) of rpoA serves as a docking platform for stress-responsive transcription factors

    • Potential post-translational modifications of rpoA under stress conditions may alter its regulatory capabilities

  • Oxidative Stress Response Mechanisms:

    • B. thetaiotaomicron possesses specialized metabolic pathways for dealing with reactive oxygen species (ROS)

    • rpoA likely coordinates the expression of genes encoding antioxidant enzymes (e.g., catalase, superoxide dismutase, peroxidases)

    • The transcriptional response may involve both up-regulation of detoxification systems and down-regulation of oxygen-sensitive processes

  • Methodological Approach for Investigation:

    • Create specific rpoA variants through site-directed mutagenesis

    • Expose wild-type and mutant strains to controlled oxidative stress (H₂O₂, paraquat)

    • Perform comparative transcriptomics (RNA-Seq) to identify differentially regulated genes

    • Measure survival rates and metabolic outputs under oxidative stress

    • Use chromatin immunoprecipitation (ChIP-Seq) to map rpoA binding patterns before and during stress

  • Integration with Metabolic Responses:

    • Monitor changes in short-chain fatty acid (SCFA) production profiles under oxidative stress

    • Correlate transcriptional changes with metabolic adaptations

    • Investigate whether rpoA mediates cross-talk between stress response and carbohydrate metabolism pathways

What site-directed mutagenesis strategies can be employed to study functional domains of B. thetaiotaomicron rpoA?

Site-directed mutagenesis offers powerful approaches to dissect the structure-function relationships of rpoA domains in B. thetaiotaomicron:

  • Strategic Target Selection:

    DomainTargets for MutagenesisFunctional Relevance
    N-terminal domainDimerization interface residuesAssembly of RNA polymerase
    N-terminal domainβ/β' interaction surfaceCore enzyme formation
    Flexible linkerProline/glycine residuesDomain movement and positioning
    C-terminal domainDNA-binding residuesPromoter recognition
    C-terminal domainSurface-exposed patchesTranscription factor interactions
  • Types of Mutations to Consider:

    • Alanine scanning: Replace charged/polar residues with alanine to identify essential side chains

    • Conservative substitutions (e.g., Asp→Glu, Lys→Arg): Test the importance of charge while maintaining size

    • Non-conservative substitutions: Disrupt specific interactions by changing charge or hydrophobicity

    • Domain deletions: Remove entire domains to test their necessity

    • Domain swapping: Replace domains with those from related species to test specificity

  • Mutagenesis Protocol Implementation:

    • Use PCR-based site-directed mutagenesis with complementary primers containing the desired mutation

    • For larger modifications, employ Gibson Assembly or other seamless cloning methods

    • Verify mutations by sequencing before expression

    • Express both wild-type and mutant proteins under identical conditions

  • Comprehensive Functional Assessment:

    • In vivo complementation testing in rpoA-depleted strains

    • In vitro transcription assays with reconstituted RNA polymerase containing mutant rpoA

    • DNA binding assays (EMSA, fluorescence anisotropy) to assess promoter recognition

    • Protein-protein interaction assays (pull-down, SPR) to measure regulatory factor binding

    • Structural analysis (CD spectroscopy, thermal shift) to confirm proper folding

  • Systems-level Analysis:

    • Transcriptome profiling to determine global effects on gene expression

    • Metabolomic analysis to assess downstream effects on bacterial physiology

    • Competitive fitness assays to evaluate the impact on bacterial adaptation

How does the function of B. thetaiotaomicron rpoA contribute to host-microbe interactions in the gut environment?

The function of B. thetaiotaomicron rpoA in host-microbe interactions represents a complex and fascinating area of research that connects transcriptional regulation with ecological fitness in the gut:

  • Transcriptional Regulation of Colonization Factors:

    • Cell surface architecture components: B. thetaiotaomicron interacts with the intestinal mucus layer through cell wall proteins, polysaccharides, and extracellular vesicles

    • rpoA regulates the expression of these surface components, affecting adherence and colonization

    • Capsular polysaccharides (CPS) play important roles during gut colonization and are likely under rpoA-mediated transcriptional control

  • Metabolic Adaptations to the Gut Environment:

    • B. thetaiotaomicron produces short-chain fatty acids (SCFAs) that benefit host health

    • rpoA coordinates the expression of genes involved in polysaccharide utilization loci (PULs) and carbohydrate-active enzyme (CAZyme) clusters

    • These metabolic capabilities allow B. thetaiotaomicron to utilize both host-derived glycans and dietary components

  • Response to Host-Derived Signals:

    • rpoA likely mediates transcriptional responses to host-derived signals including antimicrobial peptides

    • Modification of lipopolysaccharide (LPS) in Bacteroidetes leads to resistance against host inflammatory responses

    • rpoA may regulate genes involved in these modifications, creating a molecular dialogue with the host immune system

  • Methodological Approaches for Investigation:

    • Gnotobiotic mouse models colonized with wild-type versus rpoA mutant strains

    • Organoid co-culture systems like "IHACS" that maintain anaerobic conditions while studying bacteria-epithelium interactions

    • Transcriptomics of B. thetaiotaomicron isolated from different regions of the gut

    • Metaproteomics to identify rpoA-regulated proteins expressed in vivo

  • Potential Applications:

    • Engineering B. thetaiotaomicron as programmable living therapeutics using manipulation of rpoA-regulated pathways

    • Consortium transcriptional programming to create sophisticated engineered Bacteroides communities with predictable behaviors

    • Development of prebiotics that specifically target rpoA-regulated metabolic pathways in beneficial gut bacteria

What computational approaches can predict regulatory networks controlled by rpoA in B. thetaiotaomicron?

Advanced computational approaches can reveal the extensive regulatory networks under rpoA control in B. thetaiotaomicron:

  • Promoter Motif Analysis:

    • Extract intergenic regions from the B. thetaiotaomicron genome

    • Apply motif discovery algorithms (MEME, GLAM2) to identify potential rpoA-binding motifs

    • Search for UP elements and other regulatory sequences recognized by the rpoA CTD

    • Create position weight matrices (PWMs) for identified motifs

    • Scan the genome to predict additional rpoA-regulated promoters

  • Structural Modeling and Molecular Dynamics:

    • Generate homology models of B. thetaiotaomicron rpoA using known bacterial RNA polymerase structures

    • Perform molecular dynamics simulations to study dynamic behavior, especially of the flexible linker

    • Model interactions between rpoA and DNA using docking approaches

    • Simulate protein-protein interactions with transcription factors

  • Network Inference from Transcriptomic Data:

    • Collect RNA-Seq data from B. thetaiotaomicron under various conditions

    • Apply network inference algorithms (WGCNA, ARACNE, CLR) to identify co-expressed gene modules

    • Integrate ChIP-Seq data to distinguish direct from indirect regulatory relationships

    • Visualize and analyze the resulting gene regulatory networks

    • Identify regulatory hubs and key pathways under rpoA control

  • Comparative Genomics Approaches:

    • Compare rpoA binding sites across Bacteroides species

    • Identify conserved regulatory elements in orthologous genes

    • Analyze the evolution of rpoA-regulated networks in different gut environments

    • Predict species-specific adaptations in the regulatory network

  • Machine Learning Applications:

    • Train models to predict rpoA binding sites based on sequence and structural features

    • Develop classifiers to distinguish between different classes of rpoA-regulated genes

    • Use deep learning approaches to integrate multiple data types for regulatory network prediction

    • Employ reinforcement learning to model dynamic changes in the regulatory network under varying conditions

  • Integration with Experimental Validation:

    • Design targeted experiments to validate key computational predictions

    • Iteratively refine models based on experimental results

    • Develop a comprehensive database of validated rpoA-regulated genes and pathways

How can recombinant B. thetaiotaomicron rpoA be utilized for developing engineered gut microbiome therapeutics?

The development of engineered gut microbiome therapeutics using recombinant B. thetaiotaomicron rpoA represents an exciting frontier in microbiome research:

  • Programmable Gene Expression Systems:

    • Bacteroides species are prominent members of the human gut microbiota, making them ideal candidates for engineered living therapeutics

    • Consortium transcriptional programming with genetic circuit compression allows for sophisticated control of gene expression

    • rpoA-based regulatory systems can be designed to respond to specific environmental signals in the gut

  • Design of Logical Operations in Bacteroides:

    • Complete sets of logical operations (AND, OR, NOT gates) can be implemented in B. thetaiotaomicron

    • These logical operations can be coupled with CRISPR interference to achieve loss-of-function regulation of endogenous genes

    • Sequential gain-of-function control can be demonstrated in co-cultures of multiple Bacteroides species

  • Methodological Approaches for Engineering:

    • Design regulatable promoters that interact with engineered transcription factors

    • Create fusion proteins incorporating the rpoA C-terminal domain with specific DNA-binding domains

    • Develop inducible systems responsive to gut-specific signals

    • Test engineered systems in anaerobic culture models and gnotobiotic animals

  • Therapeutic Applications:

    • Engineered B. thetaiotaomicron could produce therapeutic molecules at specific sites in the gut

    • Programmable bacteria could sense inflammatory markers and respond with anti-inflammatory compounds

    • Metabolic engineering could enhance production of beneficial SCFAs for treating metabolic disorders

    • Synthetic communities with defined interactions could restore healthy microbiome functions

  • Safety and Containment Considerations:

    • Design genetic circuits with built-in containment mechanisms

    • Create auxotrophic strains dependent on exogenous supplementation

    • Implement kill switches responsive to specific triggers

    • Develop strategies to prevent horizontal gene transfer of engineered elements

What role does rpoA play in the ecological fitness of B. thetaiotaomicron in the competitive gut environment?

The role of rpoA in the ecological fitness of B. thetaiotaomicron within the competitive gut environment is multifaceted:

  • Transcriptional Adaptation to Nutrient Availability:

    • B. thetaiotaomicron possesses an extensive repertoire of polysaccharide utilization loci (PULs) and carbohydrate-active enzyme (CAZyme) clusters

    • rpoA coordinates the expression of these systems in response to available carbon sources

    • This metabolic flexibility allows B. thetaiotaomicron to switch between host-derived glycans and dietary polysaccharides

    • The ability to utilize a wide range of carbon sources provides a competitive advantage in the nutrient-limited gut environment

  • Stress Response Coordination:

    • B. thetaiotaomicron exhibits enhanced oxidative stress tolerance through specialized metabolic pathways

    • rpoA mediates transcriptional responses to various stressors encountered in the gut

    • Adaptation to bile acids, antimicrobial peptides, and pH fluctuations is likely regulated through rpoA-dependent mechanisms

    • These stress responses contribute to persistence during perturbations of the gut environment

  • Interaction with Host Immunity:

    • Certain types of capsular polysaccharides (e.g., CPS5) in Bacteroides species can increase anti-CPS IgA, correlating with increased fitness in the mouse gut

    • Modification of LPS in Bacteroidetes leads to resistance against inflammation-associated cationic antimicrobial peptides

    • rpoA likely regulates these surface modifications, mediating interactions with the host immune system

  • Microbial Community Dynamics:

    • The physiological properties of Bacteroides significantly change in the presence of co-existing symbiotic bacteria

    • rpoA may regulate genes involved in interspecies interactions, including production of inhibitory compounds

    • Spatial distribution in the mucosal niche affects Bacteroides behavior, suggesting environment-specific transcriptional programs

  • Methodological Approaches for Investigation:

    • Competitive colonization experiments with wild-type versus rpoA mutant strains

    • Metatranscriptomics to assess expression in complex communities

    • Metabolic modeling to predict competitive advantages under various conditions

    • Spatial transcriptomics to map expression patterns across gut microenvironments

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