B. thetaiotaomicron exhibits metabolic flexibility by utilizing different monosaccharides, leading to varied metabolic byproducts and oxidative stress responses . Rhamnose metabolism, in particular, results in the production of 1,2-propanediol and a reduction in reactive oxygen species (ROS), indicating improved resistance to oxidative stress compared to other sugars .
The rhamnose metabolism regulator, RhaR, plays a key role in this process. Overexpression of RhaR enhances the bacterium's survival in oxygen-rich conditions by reducing hydrogen peroxide production, which is linked to decreased expression of pyruvate:ferredoxin oxidoreductase (PFOR) . Conversely, a rhaR-deficient strain loses its advantage in oxidative resistance, producing ROS at levels comparable to cells grown on glucose .
When B. thetaiotaomicron utilizes rhamnose, it induces the rhaKIPAO cluster, leading to commenced transcription . Overexpression of RhaR positively affects the transcription of the structural genes KIPAO within the rha operon .
| Gene | Fold Change in Bt-prhaR vs. Bt-pNLY (DMR Medium) | Fold Change in Bt-pNLY (DMR vs. DMG) |
|---|---|---|
| rhaK | 1.64 | 15.85 |
| rhaI | 2.39 | 18.52 |
| rhaP | 5.27 | 6.31 |
| rhaA | 6.22 | 3.21 |
| rhaO | 4.83 | 2.77 |
| rhaR | N/A | 3.05 |
Overexpression of RhaR in the Bt-prhaR strain leads to a 32.4% higher production of acetic acid compared to the WT and Bt-pNLY strains . The Bt-prhaR strain also exhibits the highest production of 1,2-propanediol .
| Metabolite | Production in Bt-prhaR | Production in Bt-pNLY | Production in WT |
|---|---|---|---|
| Acetic Acid | Higher by 32.4% | Comparable to WT | Comparable |
| 1,2-Propanediol | Highest | Similar to WT | Similar |
Bacteroides Host Factor A (BHFa) is a protein that participates in integrative recombination of the conjugative transposon CTnDOT in Bacteroides species . BHFa is a member of the IHF/HU family of nucleoid-associated proteins and binds specifically to sites in the attDOT DNA . Other DNA bending proteins can substitute for BHFa in the integration reaction .
Crucial for reducing intracellular fluoride concentration, thereby mitigating its toxicity.
KEGG: bth:BT_4574
STRING: 226186.BT_4574
Bacteroides thetaiotaomicron is a prominent commensal member of the human intestinal microbiota that plays critical roles in host-microbe symbiosis. It possesses the ability to utilize L-fucose from host-derived and dietary polysaccharides to modify its capsular polysaccharides and glycoproteins through a mammalian-like salvage metabolic pathway. This process is essential for successful colonization and establishment of symbiosis with the host . The organism's remarkable adaptability to different nutrient conditions makes it an important model organism for studying microbiome functionality and ecological dynamics in the gut environment .
The polysaccharide capsule of B. thetaiotaomicron serves as a crucial protective barrier against various environmental challenges including attacks from other bacteria, phage infection, and host immune responses. Research demonstrates that acapsular strains (lacking all eight capsular polysaccharide synthesis loci) compete poorly against wild-type strains during competitive colonization . Mechanistically, this competitive disadvantage stems from two key factors: acapsular strains exhibit a longer lag phase in the gut lumen and demonstrate a slightly reduced net growth rate compared to capsule-producing strains. Interestingly, in environments with low microbiota complexity and absence of niche competitors, acapsular strains can achieve colonization probabilities comparable to wild-type strains, highlighting the context-dependent nature of capsule importance .
While the search results don't provide specific information about the CrcB homolog in B. thetaiotaomicron, general bacterial CrcB proteins function as fluoride channels that provide resistance against fluoride toxicity. In the context of B. thetaiotaomicron, the CrcB homolog likely contributes to membrane transport functions that may be connected to the organism's remarkable metabolic versatility. The protein would be expected to maintain structural characteristics consistent with membrane channel proteins, although specific modifications may exist to accommodate the unique physiological conditions of the gut environment where B. thetaiotaomicron resides.
Based on established protocols for recombinant protein expression in B. thetaiotaomicron, the following methodology is recommended:
Design primers incorporating appropriate restriction sites (such as BamHI and AgeI) that flank the CrcB homolog gene sequence
Amplify the target gene from B. thetaiotaomicron genomic DNA using PCR
Clone the amplified gene into an expression vector such as pFD340, which has been successfully used for B. thetaiotaomicron protein expression
Transform the construct into E. coli S17-1λpir chemically competent cells containing the Rp4-2 plasmid
Verify correct insertion and sequence integrity
Mobilize the validated plasmid into B. thetaiotaomicron through bacterial conjugation (E. coli-to-Bacteroides mating) as described by Strand et al. (2014) and Liou et al. (2020)
Select recombinant B. thetaiotaomicron using appropriate antibiotics (typically erythromycin at 10 μg/mL)
Grow cultures in brain-heart infusion (BHI) medium under anaerobic conditions at 37°C until logarithmic growth phase
Recombinant B. thetaiotaomicron strains should be cultured under the following conditions for optimal expression of membrane proteins:
Use brain-heart infusion (BHI) medium supplemented with appropriate antibiotics (erythromycin 25 μg/L or tetracycline 2 μg/L depending on the resistance marker used)
Maintain strictly anaerobic conditions at 37°C
Grow cultures with gentle shaking (800 rpm) to ensure proper mixing without disrupting cell membranes
Monitor growth by measuring optical density at 600 nm (where 1 O.D. approximately equals 4 × 10^8 cells/mL)
For membrane proteins like CrcB homolog, consider using modified minimal medium that can be supplemented with specific carbon sources to modulate expression levels
Harvest cells during logarithmic growth phase for optimal membrane protein yields
Use centrifugation at 3000 × g for 20 minutes to collect cells with minimal membrane damage
For structural studies requiring isotopic labeling, implement the following approach:
Develop a defined minimal medium supporting B. thetaiotaomicron growth where nitrogen and carbon sources can be substituted with labeled compounds
Supplement the medium with ^15N-ammonium chloride and/or ^13C-glucose as the sole nitrogen and carbon sources
Optimize growth conditions in the labeled medium, potentially requiring longer growth periods due to metabolic adjustments
Consider using a metabolic precursor approach similar to the FucAl labeling method described for fucosylated proteins, adapting it for membrane protein labeling
Harvest cells and isolate membrane fractions using density gradient centrifugation
Solubilize membrane proteins using detergents compatible with downstream structural analyses
Purify the labeled CrcB homolog using affinity chromatography, potentially using the His-tag system described in the B. thetaiotaomicron protein purification protocols
To characterize the ion channel activity of the CrcB homolog, consider these methodological approaches:
Liposome flux assays:
Reconstitute purified CrcB homolog into liposomes
Load liposomes with fluorescent indicators sensitive to specific ions
Measure fluorescence changes upon addition of test ions to assess channel selectivity and activity
Electrophysiological methods:
Utilize patch-clamp techniques on giant liposomes containing reconstituted CrcB
Employ planar lipid bilayer recordings to measure single-channel conductance
Determine channel gating properties and ion selectivity through voltage-clamp experiments
Whole-cell transport assays:
Express CrcB homolog in B. thetaiotaomicron strains
Expose cells to various concentrations of fluoride or other ions
Quantify intracellular ion accumulation using ion-specific probes or analytical methods
Compare transport in wild-type versus CrcB-overexpressing strains
Fluorescence-based techniques:
Introduce fluorescent tags at non-critical regions of CrcB homolog
Monitor conformational changes associated with ion transport using FRET or fluorescence quenching
Correlate structural dynamics with transport function
Building on the metabolic labeling methodology described for fucosylated glycoproteins in B. thetaiotaomicron , the following protocol can be adapted for studying post-translational modifications of CrcB homolog:
Metabolic incorporation of chemical handles:
Culture recombinant B. thetaiotaomicron in the presence of bioorthogonal chemical reporters (like FucAl at 200 μM) that can be incorporated into specific post-translational modifications
Verify that the chemical reporter does not affect bacterial growth using growth curve analysis
Harvest cells after sufficient incorporation period (typically 24-36 hours)
Bioorthogonal conjugation:
Enrichment and analysis:
Enrich labeled proteins using streptavidin beads
Elute bound proteins under denaturing conditions
Analyze modifications using mass spectrometry to identify modification sites and types
Compare modification patterns under different growth conditions to understand regulatory mechanisms
To investigate the physiological role of CrcB homolog in gut colonization, implement the following experimental design:
Generation of genetically manipulated strains:
In vitro characterization:
Compare growth kinetics of wild-type and CrcB mutant strains in various media conditions
Assess survival under stress conditions relevant to gut colonization (bile acids, pH fluctuations, osmotic stress)
Evaluate competitive fitness using mixed culture experiments as described for capsular polysaccharide studies
In vivo colonization assays:
Utilize the gnotobiotic mouse model approach with varying microbiota complexity (germ-free, low-complexity microbiota, and specific pathogen-free mice)
Perform single-strain colonization experiments to determine baseline colonization efficiency
Conduct competitive colonization assays between wild-type and CrcB-mutant strains
Track strain abundance and distribution using the barcode quantification method via qPCR
Mechanistic investigations:
Analyze transcriptional and proteomic profiles of colonizing bacteria
Examine host responses to different bacterial strains
Investigate metabolite profiles to identify potential functional consequences of CrcB activity
The expression and function of membrane transport proteins in B. thetaiotaomicron can be significantly influenced by dietary polysaccharide composition, as evidenced by the differential expression of fucosylated glycoproteins under varying polysaccharide conditions . To investigate this relationship for CrcB homolog:
Culture B. thetaiotaomicron in minimal media supplemented with different polysaccharides (corn starch, mucin, fucoidan, or other relevant dietary components)
Quantify CrcB homolog expression levels using:
qRT-PCR for transcriptional analysis
Western blotting with CrcB-specific antibodies
Targeted proteomics approaches
Assess functional activity under different dietary conditions using:
Ion transport assays specific to CrcB homolog function
Membrane potential measurements
Growth and survival phenotypes in the presence of fluoride or other relevant stressors
Based on observations with other B. thetaiotaomicron proteins, you may observe significant variations in CrcB homolog expression with different carbon sources. Particularly, host-derived glycans like mucin might trigger unique regulatory responses compared to plant-derived polysaccharides like corn starch .
When confronted with contradictory data regarding membrane protein topology, implement this systematic resolution approach:
Integrate multiple experimental techniques:
Combine computational predictions with at least three independent experimental methods
Use chemical labeling approaches (e.g., substituted cysteine accessibility method)
Apply protease protection assays on inside-out and right-side-out membrane vesicles
Employ reporter fusion techniques with truncated protein variants
Validate findings in native-like environments:
Examine protein topology in nanodiscs that mimic the native membrane environment
Compare results between detergent-solubilized and membrane-embedded states
Consider the impact of lipid composition on protein conformation
Apply advanced structural techniques:
Use cryo-electron microscopy for high-resolution structural determination
Implement hydrogen-deuterium exchange mass spectrometry to probe solvent-accessible regions
Apply cross-linking mass spectrometry to identify spatial relationships between protein regions
Systematic mutational analysis:
Create a library of site-directed mutants targeting key residues
Correlate functional changes with structural predictions
Use suppressor mutation analysis to identify functionally coupled regions
To implement high-throughput analysis of CrcB homolog variants on colonization fitness:
Generate variant library:
Create a comprehensive library of CrcB homolog variants using site-directed mutagenesis or error-prone PCR
Design variants to test specific structural hypotheses or examine natural variation
Incorporate each variant into the B. thetaiotaomicron genome at the native locus
Barcode integration system:
Pooled competition assays:
Data analysis:
Calculate relative fitness values for each variant
Apply statistical methods to identify significant fitness effects
Correlate molecular properties with in vivo fitness
Validation experiments:
Confirm key findings with individual strain experiments
Perform detailed mechanistic studies on variants with notable phenotypes
Develop predictive models relating sequence to function and colonization fitness
For rigorous analysis of population bottlenecks during gut colonization, employ these statistical approaches:
Population modeling:
Apply mathematical models that account for bottleneck effects, such as:
Poisson distribution models for rare colonization events
Birth-death process models that incorporate growth rate differences
Markov chain models for transitions between colonization states
Estimate key parameters such as bottleneck size and selection coefficients
Diversity metrics:
Calculate founder diversity using barcode distribution data
Apply ecological diversity indices (Shannon, Simpson) to quantify population structure
Track changes in diversity over time to identify bottleneck events
Bayesian inference methods:
Implement Bayesian frameworks to estimate posterior probability distributions for bottleneck parameters
Incorporate prior knowledge about bacterial growth dynamics
Develop hierarchical models that account for variation between experimental replicates
Time-series analysis:
Table 1: Estimated Bottleneck Sizes During B. thetaiotaomicron Colonization in Different Host Backgrounds
| Host Background | Estimated Bottleneck Size (CFU) | Colonization Probability (WT strain) | Colonization Probability (Mutant strain) |
|---|---|---|---|
| Germ-free | 10^3 - 10^4 | 0.8 - 0.9 | 0.7 - 0.8 |
| Low-complexity microbiota | 10^2 - 10^3 | 0.3 - 0.5 | 0.2 - 0.4 |
| SPF microbiota | 10^1 - 10^2 | 0.05 - 0.1 | 0.005 - 0.01 |
Note: Values in this table are extrapolated from similar colonization studies with B. thetaiotaomicron strains and would need to be experimentally determined for CrcB homolog variants.
When facing poor expression yields of membrane proteins like CrcB homolog, implement these troubleshooting strategies:
Optimize expression conditions:
Test different growth media compositions
Vary induction timing and strength for inducible promoters
Adjust growth temperature, with lower temperatures (30-32°C) often improving membrane protein folding
Optimize anaerobic conditions, as oxygen exposure can affect membrane protein integrity
Modify expression constructs:
Test alternative signal sequences or fusion tags
Codon-optimize the gene sequence for B. thetaiotaomicron
Consider testing expression in shuttle vectors with varying copy numbers
Introduce stabilizing mutations based on computational prediction
Alternate host systems:
Compare expression in B. thetaiotaomicron versus E. coli
Test expression in cell-free systems optimized for membrane proteins
Consider heterologous expression in other Bacteroides species
Extraction optimization:
Test multiple detergents for membrane protein solubilization
Optimize lysis conditions to minimize protein aggregation
Consider native extraction methods that preserve protein-lipid interactions
Implement rapid purification protocols to minimize time in detergent solutions
To bridge the gap between in vitro observations and in vivo relevance:
Develop physiologically relevant assay systems:
Design experimental conditions that mimic the intestinal environment
Include relevant host factors (bile acids, antimicrobial peptides)
Account for the anaerobic and nutritionally complex gut environment
Generate structure-function correlations:
Create point mutations that specifically affect CrcB function based on in vitro findings
Test mutant strains in both in vitro and in vivo systems
Establish clear mechanistic links between molecular function and colonization phenotypes
Implement in situ measurements:
Develop biosensor systems to monitor CrcB function in living bacteria during colonization
Create reporter strains where CrcB activity is linked to detectable signals
Use intravital microscopy to observe bacterial behavior in the gut
Validate across multiple models:
Implement these quality control measures for purified membrane proteins:
Purity assessment:
Perform SDS-PAGE with silver staining to detect minor contaminants
Use size exclusion chromatography to assess aggregation state
Apply mass spectrometry for definitive identification and detection of modifications
Conduct dynamic light scattering to verify homogeneity
Structural integrity verification:
Measure secondary structure content using circular dichroism spectroscopy
Apply tryptophan fluorescence spectroscopy to assess tertiary structure
Use limited proteolysis to confirm proper folding
Verify thermal stability using differential scanning fluorimetry
Functional validation:
Conduct activity assays specific to the expected function of CrcB homolog
Perform ligand binding assays to confirm interaction with known substrates
Test pH and temperature stability relevant to physiological conditions
Verify detergent compatibility with functional assays
Storage optimization:
Determine optimal buffer conditions for long-term stability
Assess freeze-thaw stability and develop appropriate aliquoting strategies
Consider reconstitution into nanodiscs or liposomes for enhanced stability
Implement regular quality control checkpoints during storage periods
The potential roles of CrcB homolog in B. thetaiotaomicron likely extend beyond conventional fluoride resistance, particularly given the complex host-microbe interactions in the gut environment:
Potential involvement in pH homeostasis:
CrcB may contribute to maintaining optimal intracellular pH in the acidic microenvironments of the gut
This function could be critical during transit through different intestinal regions with varying pH levels
Changes in environmental pH could modulate CrcB activity, affecting bacterial fitness
Possible roles in metabolite exchange:
The channel may facilitate transport of small metabolites beyond fluoride ions
Such transport could influence cross-feeding relationships within the microbiome
Metabolite exchange could affect host-microbe metabolic interactions
Contribution to competitive fitness:
Similar to capsular polysaccharides, CrcB function may provide competitive advantages in specific niches
The protein might be involved in resistance to antimicrobial compounds produced by competing bacteria
Expression levels might fluctuate in response to community composition changes
Potential impact on host immune interactions:
Ion homeostasis could influence surface antigen presentation
Changes in membrane properties might affect recognition by host immune factors
CrcB activity could modify bacterial stress responses under host-induced pressure
Cutting-edge technologies that could revolutionize our understanding of membrane protein dynamics in B. thetaiotaomicron include:
Cryo-electron tomography:
Enables visualization of membrane proteins in their native cellular context
Could reveal organization and clustering of CrcB homolog in the bacterial membrane
May identify previously unknown interactions with other membrane components
Single-molecule tracking in live bacteria:
Allows real-time observation of protein movement and interactions
Could reveal dynamic responses to environmental changes
May identify heterogeneity in protein behavior across bacterial populations
Mass photometry:
Enables label-free characterization of membrane protein complexes
Could determine stoichiometry and assembly states of CrcB homolog
May reveal transient interactions with regulatory proteins
In-cell NMR spectroscopy:
Provides structural and dynamic information in living cells
Could capture conformational changes associated with transport activity
May identify allosteric regulation mechanisms
Microfluidic organ-on-chip systems:
Creates physiologically relevant environments for studying bacterial membrane protein function
Could integrate host epithelial cells with bacteria for studying interface dynamics
May enable real-time monitoring of membrane protein activities during host-microbe interactions