Lactobacillus johnsonii is a bacterial species with probiotic properties that may reduce the burden of certain infections and metabolic disorders . Complete genome sequencing and comparative genome analysis have been performed to determine the molecular basis underlying the probiotic potential of L. johnsonii strains and the genes involved . These genes relate to stress adaptation, biosynthesis, metabolism, amino acid transport, secretion, and defense mechanisms .
Recombinant Full Length Lactobacillus johnsonii UPF0397 protein LJ_1703(LJ_1703) Protein, His-Tagged, was expressed in E. coli .
Form: Lyophilized powder
AA Sequence: MNNQKGLSVKSVVAIGIGAAIYVILARFTSIPTGIPNTNIEIVYPFLALLATIYGPVVGF SVGFIGHALSDFLMYGQTWWSWVLATAVLGLIIGLYGMRLDLENGVFTTKQMIGFNIVQI IANVVSWLIIAPVGDILIYSEPQNKVFLQGATATITNSISILILGTILLKAYAATKVKKG SLRRD
Storage: Store at -20°C/-80°C upon receipt, aliquoting is necessary for multiple uses. Avoid repeated freeze-thaw cycles .
L. johnsonii has an antagonistic relationship with C. albicans during planktonic and biofilm growth in vitro . Environmental variables, such as the type and amount of nutrients, influence L. johnsonii MT4 metabolism and anticandidal activity .
Lactobacillus johnsonii UPF0398 protein LJ_1195 is a protein encoded by the LJ_1195 gene in the L. johnsonii genome. It belongs to the UPF0398 protein family, a group of uncharacterized proteins with conserved domains across various bacterial species. The protein appears in the L. johnsonii genome sequence documentation and has been identified in genomic analyses .
The protein characterization typically involves:
Molecular weight determination: Approximately 30-40 kDa based on related protein data
Sequence analysis and comparison with homologous proteins
Structural prediction using bioinformatics tools
Functional analysis through recombinant expression and purification
Several expression systems have demonstrated effectiveness for L. johnsonii proteins:
Yeast expression systems: Commonly used for proteins requiring eukaryotic post-translational modifications .
Baculovirus expression system: Effective for proteins that may be difficult to express in bacterial systems, particularly when higher yields are required .
E. coli expression systems: Using vectors such as pET or pGEX for high-yield expression with appropriate codon optimization.
Lactobacillus expression systems: When native conformation is critical, homologous expression in Lactobacillus species preserves natural folding environments.
Methodology considerations include:
Codon optimization for the host organism
Selection of appropriate promoters (constitutive vs. inducible)
Inclusion of purification tags (His-tag, GST)
Growth conditions optimization (temperature, induction timing)
The genomic context of L. johnsonii provides critical insights for protein function studies:
L. johnsonii has a genome size of approximately 1.88 million base pairs with a GC content of 34.4% . The genome contains approximately 1,865 genes, including 1,772 protein-coding genes . Understanding this genomic landscape helps researchers:
Identify potential operons containing LJ_1195
Evaluate gene expression patterns through transcriptomic data
Assess evolutionary conservation across Lactobacillus species
Predict functional roles based on genomic neighborhood
Recent phylogenetic analyses show L. johnsonii strain MT4 is closely related to strain NCK2677 (>99.96% genome identity) and NCC 533, a strain with documented probiotic properties .
To investigate interactions between LJ_1195 and host proteins, researchers should consider multiple complementary approaches:
Affinity purification coupled to mass spectrometry:
Expressing tagged LJ_1195 and identifying binding partners
Reciprocal verification using identified partner proteins as bait
Cross-linking prior to purification to capture transient interactions
Surface plasmon resonance (SPR):
Quantifying binding kinetics between purified LJ_1195 and candidate host proteins
Determining association/dissociation constants
Co-immunoprecipitation from biological samples:
Using antibodies against LJ_1195 to pull down protein complexes
Western blot verification of specific interactions
Functional assays:
The L. johnsonii GAPDH-JAM-2 interaction model provides a valuable precedent, as it was shown to enhance gut barrier integrity via binding between bacterial GAPDH and host JAM-2 tight junction protein .
L. johnsonii has a complex relationship with oxygen and oxidative stress that may involve LJ_1195:
Oxidative stress physiology:
Experimental approaches to study LJ_1195 role:
Gene knockout/knockdown studies with subsequent oxidative challenge tests
Protein activity assays under varying oxygen concentrations
Transcriptome analysis comparing wildtype and mutant strains under oxidative stress
Potential mechanisms:
May function in electron transport pathways
Could play a role in NADH oxidation similar to other oxidoreductases
Might contribute to maintaining redox balance
Research has shown that oxygen exposure relieves CO₂ and acetate dependency in L. johnsonii NCC 533 , suggesting complex metabolic adaptations to aerobic conditions that might involve proteins like LJ_1195.
Transcriptomic analysis provides valuable insights into the expression patterns of LJ_1195:
RNA-Seq methodology:
Total RNA extraction from L. johnsonii under various conditions
Library preparation with rRNA depletion
Next-generation sequencing with >10 million reads per sample
Bioinformatic analysis with tools like DESeq2 for differential expression
Experimental conditions to consider:
Growth phase variations (lag, log, stationary)
Environmental stressors (pH, temperature, oxygen levels)
Nutrient availability variations
Host-mimicking conditions (intestinal environment)
Data interpretation frameworks:
Co-expression network analysis to identify functional relationships
Pathway enrichment analysis for biological context
Comparison with proteomics data for validation
Research on L. johnsonii has demonstrated that CO₂ depletion triggers significant transcriptional changes, including upregulation of pyrimidine synthesis pathways . Similar approaches can be applied to study LJ_1195 expression patterns.
Functional genomics offers multiple strategies to understand LJ_1195's potential role in host interactions:
Gene knockout/knockdown approaches:
CRISPR-Cas9 system adapted for Lactobacillus
Homologous recombination for gene deletion
Antisense RNA for expression reduction
Heterologous expression systems:
Expression in standard laboratory strains with specific phenotypic readouts
Complementation studies to verify function
In vitro models:
Caco-2 cell monolayers to assess barrier function impacts
Dendritic cell stimulation to evaluate immunomodulatory effects
Intestinal organoid models for complex interaction studies
In vivo approaches:
Gnotobiotic mouse models colonized with wildtype or LJ_1195 mutants
Assessment of colonization efficiency, immune response, and barrier function
Research on L. johnsonii has demonstrated its ability to enhance gut barrier integrity through protein-protein interactions and shows promise as a mucosal vaccine delivery vehicle , suggesting complex bacterium-host interfaces that may involve UPF0398 family proteins.
Purification of recombinant LJ_1195 requires carefully optimized protocols:
Expression system selection:
Lysis optimization:
Buffer composition (pH 7.0-8.0, 150-300 mM NaCl)
Protease inhibitor cocktail inclusion
Mechanical disruption methods for complete lysis
Purification strategies:
Immobilized metal affinity chromatography (IMAC) for His-tagged constructs
Size exclusion chromatography for final polishing
Tag removal considerations using specific proteases
Activity preservation:
Addition of stabilizing agents (glycerol 10-20%)
Antioxidant inclusion if oxygen-sensitive
Storage optimization (-80°C with flash freezing)
Typical yield expectations range from 2-10 mg/L culture volume depending on expression system and optimization level.
Structural characterization provides crucial insights into protein function:
Crystallography approach:
Protein crystallization screening (hanging drop, sitting drop)
X-ray diffraction analysis
Structural determination and refinement
NMR spectroscopy:
Solution structure determination
Ligand binding studies
Dynamic interaction mapping
Cryo-electron microscopy:
Single particle analysis for larger complexes
Structural determination without crystallization
Computational approaches:
Homology modeling based on related UPF0398 family proteins
Molecular dynamics simulations to predict functional movements
Docking studies to predict interaction partners
The UPF0398 protein family structural characterization would provide insights into potential enzymatic activities, binding interfaces, and functional domains.
LJ_1195 may play several roles in the probiotic functionality of L. johnsonii:
Potential contribution mechanisms:
Antimicrobial activity against pathogens
Host immune modulation
Metabolic functions supporting colonization
Stress response enabling gut persistence
Research evidence context:
Experimental approaches:
Comparison of wildtype and LJ_1195 mutant strains in probiotic function assays
Recombinant protein administration studies
Transcriptomic analysis of host response to purified LJ_1195
L. johnsonii has been documented to enhance gut barrier integrity through protein-protein interactions , suggesting specialized molecular mechanisms behind its probiotic effects.
Several methods can evaluate LJ_1195's potential role in microbial ecology:
Co-culture experiments:
Growth of L. johnsonii (wildtype vs. LJ_1195 mutants) with other microbes
Measurement of growth impact, metabolite exchange, and gene expression changes
Assessment of antimicrobial compound production
Metagenomic/metatranscriptomic approaches:
Analysis of microbial community changes in response to L. johnsonii colonization
Comparative studies with wildtype versus LJ_1195 mutants
Biofilm models:
Multi-species biofilm formation analysis
Confocal microscopy to visualize spatial relationships
Quantification of biofilm parameters
Research demonstrates that L. johnsonii has an antagonistic relationship with C. albicans during both planktonic and biofilm growth, with significant reductions in biofilm parameters when L. johnsonii is present :
| Biofilm Parameter | Control (24h) | Control (48h) | L. johnsonii Treated |
|---|---|---|---|
| Biovolume | Baseline | Increased | Significantly lower |
| Thickness | Baseline | Increased | Reduced |
| Biomass | Baseline | Increased | Similar to 24h control |
These findings suggest L. johnsonii proteins may play important roles in interspecies interactions.
Systems biology approaches offer comprehensive frameworks for understanding LJ_1195 in context:
Genome-scale metabolic modeling:
Integration of LJ_1195 into existing L. johnsonii metabolic models
Flux balance analysis to predict metabolic impacts
Simulation of gene knockout effects on growth and metabolite production
Multi-omics data integration:
Correlation of transcriptomics, proteomics, and metabolomics data
Network analysis to identify functional modules
Identification of condition-specific regulatory patterns
Experimental validation approaches:
Metabolic flux analysis using isotope labeling
Targeted metabolomics to verify predicted changes
Growth phenotyping under various nutrient conditions
L. johnsonii has complex nutrient requirements and metabolic adaptations, including CO₂-dependent pyrimidine synthesis pathways and the ability to utilize specific fatty acids like erucic acid , providing context for understanding specialized protein functions within its metabolic network.
Rigorous controls and validation steps ensure reliable research outcomes:
Expression validation:
Western blot confirmation using antibodies against the target or tag
Mass spectrometry verification of protein identity
Activity assays if function is known
Purification quality controls:
SDS-PAGE with Coomassie staining (>95% purity standard)
Endotoxin testing for preparations used in immunological studies
Aggregation assessment via dynamic light scattering
Functional validation approaches:
Comparison with native protein where possible
Dose-response relationships in functional assays
Multiple biological replicates (minimum n=3)
Independent verification using different expression/purification batches
Negative controls in experiments:
Heat-inactivated protein preparations
Unrelated proteins of similar size
Empty vector controls in expression studies
When designing deletion mutants for functional studies, complementation experiments are critical to confirm phenotypes are specifically due to LJ_1195 absence.
Addressing contradictory results requires systematic troubleshooting:
Common sources of contradictions:
Strain-specific variations in Lactobacillus johnsonii
Different experimental conditions (temperature, pH, media composition)
Variations in protein preparation methods
Host cell or animal model differences
Resolution strategies:
Side-by-side comparison of contradictory protocols
Systematic variation of individual parameters
Collaboration with laboratories reporting different results
Meta-analysis of published data with attention to methodological details
Experimental design approach:
Multiple complementary methods to test the same hypothesis
Inclusion of positive and negative controls in each experiment
Blind analysis of results when possible
Pre-registration of experimental plans and analysis strategies
The research on L. johnsonii has shown strain-specific variations, with different strains like MT4, NCK2677, and NCC 533 showing distinct genetic and functional characteristics despite high genomic similarity , highlighting the importance of strain-specific considerations.
Creating physiologically relevant conditions is critical for immune interaction studies:
Cell culture considerations:
Primary immune cells vs. cell lines (advantages/limitations)
Culture conditions mimicking intestinal environment
Oxygen levels (hypoxic conditions may be more relevant)
Presence of appropriate growth factors and cytokines
Protein preparation factors:
Endotoxin removal (<0.1 EU/ml standard)
Proper folding verification
Concentration ranges spanning physiological levels
Readout selection:
Cytokine production (ELISA, multiplex assays)
Cell surface marker expression (flow cytometry)
Gene expression analysis (RT-qPCR, RNA-Seq)
Functional assays (phagocytosis, migration, maturation)
Controls and comparisons:
Known immunomodulatory proteins as benchmarks
Whole bacteria vs. purified protein comparisons
Strain-specific variations analysis
L. johnsonii has demonstrated immunomodulatory properties, altering macrophage and T-cell responses and regulating dendritic cell function , providing context for studying specific protein contributions to these effects.
Several cutting-edge technologies could accelerate functional characterization:
CRISPR-Cas technologies:
CRISPRi for controlled gene expression modulation
Base editors for precise genomic modifications
CRISPR screening approaches to identify genetic interactions
Single-cell technologies:
Single-cell RNA-Seq to capture population heterogeneity
Spatial transcriptomics to map host-microbe interactions
Mass cytometry for multiparameter cellular response analysis
Advanced imaging approaches:
Super-resolution microscopy for protein localization
Live cell imaging to track dynamic processes
Correlative light and electron microscopy for structural-functional integration
Computational advances:
Deep learning for protein function prediction
AlphaFold and similar AI tools for structure prediction
Advanced metabolic modeling incorporating protein-specific functions
These technologies could help resolve the currently unknown functions of the UPF0398 protein family and place LJ_1195 in specific metabolic and signaling pathways.
Several critical questions warrant further investigation:
Fundamental questions:
What is the precise biochemical function of LJ_1195?
How conserved is this function across Lactobacillus species?
What protein modifications are essential for its activity?
Context-specific questions:
How does LJ_1195 expression vary across gut microenvironments?
What host factors influence its expression and activity?
Does LJ_1195 contribute to colonization efficiency?
Translational questions:
Could recombinant LJ_1195 serve as a biomarker or therapeutic?
How might LJ_1195 contribute to probiotic effects?
Is LJ_1195 involved in bacterium-host communication pathways?
Addressing these questions would significantly advance understanding of both basic Lactobacillus biology and potential applications in microbiome modulation and probiotic development.