KEGG: ljo:LJ_0866
STRING: 257314.LJ0866
Effective recombinant expression of LJ_0866 protein requires careful consideration of expression systems, purification strategies, and validation methods. Based on approaches used for similar bacterial proteins, the following methodology is recommended:
Expression System Selection:
E. coli-based systems: BL21(DE3) or Rosetta strains are suitable for initial attempts, especially with codon optimization for E. coli
Lactobacillus-based expression: For native-like folding, expression in a Lactobacillus host may be preferable, though yields may be lower
Baculovirus expression: For larger-scale production if bacterial systems prove challenging
Expression Optimization:
Temperature modulation: Lower temperatures (16-25°C) often improve folding of nucleotide-binding proteins
Induction conditions: Test various IPTG concentrations (0.1-1.0 mM) and induction times
Co-expression with chaperones: GroEL/GroES or DnaK/DnaJ/GrpE can improve solubility
Construct Design:
Affinity tags: N-terminal or C-terminal His₆-tag for purification, with a TEV protease cleavage site
Solubility enhancers: Consider MBP, SUMO, or GST fusion if solubility is problematic
Domain identification: Express full-length protein and individual domains separately
The recombinant expression approach should be coupled with appropriate purification strategies, including immobilized metal affinity chromatography followed by size exclusion chromatography. Validation of proper folding can be assessed through nucleotide binding assays and circular dichroism spectroscopy.
Lactobacillus johnsonii demonstrates remarkable adaptability to different environmental conditions, including switching from anaerobic to aerobic metabolism. As a nucleotide-binding protein, LJ_0866 may play a significant role in these adaptation processes through several potential mechanisms:
Metabolic adaptation: L. johnsonii possesses genes for aerobic metabolism, including pyruvate oxidase (POX) and acetate kinase (ACK), which allow for extra ATP generation under aerobic conditions . LJ_0866 may function in regulating these metabolic shifts by sensing nucleotide levels (ATP/ADP ratios) that reflect cellular energy status.
Oxidative stress response: When L. johnsonii is exposed to oxygen, it must manage oxidative stress. Some strains show catalase-like activity and increased resistance to H₂O₂ under respiratory conditions . LJ_0866 could potentially be involved in sensing oxidative stress or in regulating expression of stress response genes.
Environmental sensing: As a nucleotide-binding protein, LJ_0866 might function as part of a signal transduction pathway that detects environmental changes and triggers appropriate responses. This could include adaptation to the varying oxygen levels encountered in different regions of the gastrointestinal tract.
Host interaction: L. johnsonii produces bioactive components, including phospholipids that can modulate dendritic cell responses . If LJ_0866 participates in lipid metabolism regulation, it might indirectly influence these host-microbe interactions.
To investigate these potential roles, researchers could employ gene knockout experiments and observe phenotypic changes under different environmental conditions, complemented by transcriptomic and metabolomic analyses.
The involvement of LJ_0866 in oxidative stress response mechanisms represents an important area of investigation, particularly given L. johnsonii's ability to adapt to aerobic environments despite being facultatively anaerobic. From the available research, we know that:
L. johnsonii possesses genes for oxidative stress response, including NADH oxidase (NOX) and NADH peroxidase (NPR), which are involved in H₂O₂ scavenging .
Some L. johnsonii strains demonstrate catalase-like activity and increased resistance to H₂O₂ under respiratory conditions .
As a nucleotide-binding protein, LJ_0866 could participate in oxidative stress responses through several mechanisms:
Energy metabolism regulation: Oxidative stress affects cellular ATP levels, which LJ_0866 might sense and respond to by modulating metabolic pathways.
Signal transduction: LJ_0866 could function within a signaling cascade that responds to oxidative stress by altering gene expression patterns.
Direct ROS interaction: The protein might directly interact with reactive oxygen species or with molecules modified by oxidative stress.
To investigate these possibilities, researchers should consider employing the following methodology:
Generate LJ_0866 knockout strains and assess sensitivity to various oxidative stressors
Measure expression levels of LJ_0866 under different oxidative conditions
Conduct pull-down assays to identify interaction partners under normal and oxidative stress conditions
Perform site-directed mutagenesis of key residues to determine functional domains involved in stress response
Understanding LJ_0866's role in oxidative stress responses could provide valuable insights into how L. johnsonii adapts to the oxygen gradients found within the gastrointestinal tract.
The potential role of LJ_0866 in the immunomodulatory properties of Lactobacillus johnsonii represents a sophisticated research question that integrates microbiology, immunology, and molecular biology. From the search results, we know that L. johnsonii N6.2 phospholipids can induce an immature-like phenotype in dendritic cells with a migratory-regulatory-like transcriptional signature . While LJ_0866's specific involvement has not been directly established, its nucleotide-binding properties suggest potential regulatory functions.
Methodological approach to investigate this question:
Genetic manipulation studies:
Dendritic cell stimulation experiments:
Isolate bone marrow-derived dendritic cells (BMDCs) from mice
Stimulate BMDCs with lipid fractions from wild-type and LJ_0866 mutant strains
Assess phenotypic changes including surface markers (ICAM-1, MHC-II, CD86, CD40, CD1d)
Measure cytokine production (IL-6, IL-10, TNF-α) using ELISA or multiplex assays
Transcriptional analysis:
Mechanistic studies:
This comprehensive approach would help determine whether LJ_0866 influences the immunomodulatory properties of L. johnsonii through effects on phospholipid metabolism or composition, ultimately affecting how these bacterial components interact with host immune cells.
Investigating how mutations in LJ_0866 affect L. johnsonii's aerobic metabolism requires a systematic approach combining genetic manipulation, physiological characterization, and biochemical analysis. L. johnsonii can adapt to aerobic environments despite being facultatively anaerobic, with specific pathways for oxygen utilization and management .
Comprehensive methodological framework:
Mutation design and generation:
Create point mutations in predicted nucleotide-binding motifs (Walker A/B)
Generate complete gene deletion mutants (ΔLJ_0866)
Develop complemented strains to confirm phenotypes
Use site-directed mutagenesis to target specific functional residues
Physiological characterization:
Compare growth curves under anaerobic, microaerobic, and aerobic conditions
Measure oxygen consumption using Clark-type electrodes
Determine survival rates under oxidative stress conditions
Assess colony morphology and cell ultrastructure using electron microscopy
Metabolic analysis:
Quantify end-product formation (lactate, acetate, CO₂) using HPLC and GC-MS
Measure intracellular ATP levels and NAD⁺/NADH ratios
Perform metabolic flux analysis using ¹³C-labeled substrates
Analyze activity of key aerobic metabolism enzymes including:
Transcriptomic and proteomic profiling:
| Parameter | Wild-type | ΔLJ_0866 | Point Mutant | Complemented Strain |
|---|---|---|---|---|
| Growth rate (anaerobic) | +++ | ? | ? | ? |
| Growth rate (aerobic) | ++ | ? | ? | ? |
| Oxygen consumption | ++ | ? | ? | ? |
| Acetate production | +++ | ? | ? | ? |
| POX activity | ++ | ? | ? | ? |
| H₂O₂ resistance | ++ | ? | ? | ? |
| ATP production | +++ | ? | ? | ? |
This approach would provide comprehensive insights into whether LJ_0866 influences L. johnsonii's aerobic metabolism through direct involvement in metabolic pathways, regulation of enzyme activities, or participation in stress response mechanisms.
Studying protein-protein interactions of LJ_0866 presents several experimental challenges that require careful consideration and methodological rigor. These challenges span from protein production to interaction detection and validation within physiologically relevant contexts.
Key experimental challenges and methodological solutions:
Protein expression and purification challenges:
Challenge: Nucleotide-binding proteins often have solubility issues and may form inclusion bodies
Solution: Optimize expression conditions (temperature, inducer concentration, media composition); test multiple solubility tags (MBP, SUMO, GST); consider cell-free expression systems
Challenge: Ensuring proper folding and nucleotide-binding activity
Solution: Validate function through nucleotide binding assays; use circular dichroism to confirm secondary structure; employ thermal shift assays to assess stability
Interaction detection limitations:
Challenge: Transient or weak interactions may be missed by conventional methods
Solution: Use chemical crosslinking prior to pull-down experiments; employ more sensitive techniques like surface plasmon resonance or microscale thermophoresis; consider proximity labeling approaches (BioID, APEX)
Challenge: False positives in affinity purification approaches
Solution: Implement stringent washing conditions; use quantitative proteomics with SILAC or TMT labeling; perform reciprocal pull-downs with prey proteins
Context-dependent interaction considerations:
Challenge: LJ_0866 interactions may depend on nucleotide-bound state
Solution: Test multiple conditions (apo-protein, ATP-bound, ADP-bound, non-hydrolyzable analogs)
Challenge: Interactions may be influenced by redox state, particularly given L. johnsonii's variable responses to oxygen
Solution: Control redox environment during experiments; compare interactions under reducing and oxidizing conditions
Validation in native context:
Challenge: Limited genetic tools for L. johnsonii compared to model organisms
Solution: Consider heterologous expression in related organisms with better genetic tractability; develop improved genetic manipulation systems for L. johnsonii
Challenge: Correlating in vitro interactions with physiological relevance
Solution: Perform co-localization studies; use bacterial two-hybrid systems; assess phenotypic consequences of disrupting interactions
Specific technical considerations for bacterial proteins:
Challenge: Membrane association may complicate purification and interaction studies
Solution: Test different detergents for extraction; consider membrane mimetics (nanodiscs, liposomes)
Challenge: Post-translational modifications may affect interactions
Solution: Use mass spectrometry to identify modifications; compare protein produced in different expression systems
A comprehensive approach would combine multiple complementary techniques, each addressing different limitations, to build a convincing interaction network for LJ_0866 and understand its functional role in L. johnsonii physiology.
Investigating LJ_0866's potential role in phospholipid metabolism requires a multi-faceted approach combining genetic, biochemical, and analytical techniques. This question is particularly relevant given that L. johnsonii N6.2 phospholipids have been shown to induce immature-like dendritic cells with immunomodulatory properties .
Comprehensive methodological framework:
Genetic manipulation and phenotypic analysis:
Generate LJ_0866 knockout, knockdown, and overexpression strains
Compare growth phenotypes under various conditions
Assess membrane integrity using fluorescent dyes and electron microscopy
Test sensitivity to membrane-disrupting agents
Comprehensive phospholipid profiling:
Extraction protocols: Use optimized Bligh-Dyer method for bacterial phospholipids
Analytical techniques:
Thin-layer chromatography (TLC) for initial phospholipid class separation
Liquid chromatography-mass spectrometry (LC-MS/MS) for detailed profiling
³¹P NMR spectroscopy for phospholipid headgroup analysis
Compare profiles between wild-type and LJ_0866 mutant strains
Metabolic labeling experiments:
Perform pulse-chase experiments with ³²P or ¹⁴C-acetate to track phospholipid synthesis
Measure phospholipid turnover rates in wild-type versus mutant strains
Quantify incorporation of labeled precursors into specific phospholipid classes
Protein-lipid interaction studies:
Direct binding assays:
Lipid overlay assays with purified LJ_0866
Liposome flotation assays with defined phospholipid compositions
Surface plasmon resonance for binding kinetics
Structural approaches:
Crystallize LJ_0866 with bound lipids
Use hydrogen-deuterium exchange mass spectrometry to identify lipid-binding regions
Enzymatic activity characterization:
Test for phospholipase activity (A₁, A₂, C, D)
Assess acyltransferase or flippase activities
Develop high-throughput fluorescent assays for activity screening
Immunomodulatory property assessment:
| Phospholipid Class | Wild-type (mol%) | ΔLJ_0866 (mol%) | Overexpression (mol%) | p-value |
|---|---|---|---|---|
| Phosphatidylglycerol | x.x | y.y | z.z | <0.05 |
| Cardiolipin | x.x | y.y | z.z | <0.05 |
| Phosphatidylethanolamine | x.x | y.y | z.z | <0.05 |
| Lysophospholipids | x.x | y.y | z.z | <0.05 |
This comprehensive approach would provide mechanistic insights into whether and how LJ_0866 contributes to phospholipid metabolism in L. johnsonii, potentially uncovering molecular mechanisms behind the bacterium's immunomodulatory properties.
The potential functional shift of LJ_0866 during L. johnsonii's transition between fermentative and respiratory metabolism represents an intriguing research question that connects bacterial physiology, adaptation, and regulatory mechanisms. From the search results, we know that L. johnsonii can adapt to aerobic environments and some strains can shift toward respiratory metabolism when heme and menaquinone are supplied .
Methodological approach to investigate this question:
Comparative expression analysis:
Culture L. johnsonii under three conditions:
Quantify LJ_0866 expression using RT-qPCR and Western blotting
Perform temporal analysis during metabolic shifts
Use reporter gene fusions (e.g., LJ_0866 promoter-GFP) to visualize expression patterns
Protein localization and modification studies:
Use fluorescent protein fusions or immunofluorescence to track LJ_0866 localization
Employ mass spectrometry to identify post-translational modifications
Compare modifications across metabolic states
Assess protein turnover rates using pulse-chase experiments
Interaction partner identification:
Perform immunoprecipitation coupled with mass spectrometry (IP-MS)
Compare interaction partners across metabolic states
Validate key interactions using bacterial two-hybrid assays
Focus on potential interactions with proteins involved in:
Nucleotide binding characterization:
Measure nucleotide binding affinities using isothermal titration calorimetry
Compare ATP/GTP binding and hydrolysis rates across metabolic states
Determine if oxygen or redox state affects nucleotide binding
Phenotypic analysis of mutants under different metabolic conditions:
Generate LJ_0866 knockout and point mutants
Compare growth, survival, and metabolic end-products across metabolic states
Assess respiratory capacity through oxygen consumption measurements
Measure membrane potential and proton motive force
| Parameter | Fermentative Metabolism | Aerobic Metabolism | Respiratory Metabolism | Statistical Significance |
|---|---|---|---|---|
| LJ_0866 expression level | x.x | y.y | z.z | p<0.05 |
| Nucleotide binding affinity (Kd, μM) | x.x | y.y | z.z | p<0.05 |
| Primary interaction partners | Proteins A, B, C | Proteins D, E, F | Proteins G, H, I | - |
| Post-translational modifications | None/Few | Moderate | Extensive | - |
| Cellular localization | Cytoplasmic | Membrane-associated | Membrane-associated | - |
This multifaceted approach would provide mechanistic insights into how LJ_0866 potentially adapts its function during L. johnsonii's transition between metabolic states, potentially revealing novel regulatory mechanisms for bacterial adaptation to changing environmental conditions.