The protein YddM is an uncharacterized protein from Bacillus subtilis, a Gram-positive bacterium commonly found in soil and the gastrointestinal tract of ruminants and humans . Due to its uncharacterized nature, information regarding its function is limited. Studies employ recombinant versions of YddM to investigate its properties and potential roles within Bacillus subtilis .
| Characteristic | Description |
|---|---|
| Source Organism | Bacillus subtilis |
| Protein Type | Uncharacterized membrane protein |
| Tag | His-Tag (N-terminal) |
| Size | Full Length (1-179aa) |
| Expression System | E. coli |
| Uniprot No. | P96650 |
YidC, a protein crucial for membrane protein biogenesis in bacteria, has been investigated in Bacillus subtilis to identify its substrates . Research leveraged the translation arrest sequence of MifM to pinpoint membrane proteins dependent on SpoIIIJ, the YidC homolog in B. subtilis . This approach identified eight membrane proteins as potential SpoIIIJ substrates, enhancing our understanding of how membrane proteins are sorted and inserted in Gram-positive bacteria .
The Min system in bacteria, particularly MinD, plays a role in cell division. Studies involving Bacillus subtilis MinD have used recombinant proteins to explore its function and regulation . For instance, ATPase activity assays with purified, recombinant MinD mutants provided insights into the importance of membrane binding for ATP hydrolysis . Mutants of MinD, such as G12V and K16A, lead to increased cell length and minicell production, which is expected in cells containing dysfunctional Min proteins .
Research has also explored the interactions between the DNA replication initiator DnaA and other proteins in Bacillus subtilis . While YddM is not directly mentioned, understanding protein-protein interactions is crucial for elucidating cellular mechanisms, and this type of research could potentially extend to YddM in the future .
The quality control protease HtrA of Bacillus subtilis is also a target for improving bacterial fitness and recombinant enzyme yield . Although YddM is not directly related to HtrA, modifying proteases like HtrA can have broad effects on protein production and stability within the cell .
KEGG: bsu:BSU05030
STRING: 224308.Bsubs1_010100002833
E. coli expression systems have been demonstrated to successfully produce recombinant YddM protein. The most common approach involves expressing the full-length protein (amino acids 1-313) with an N-terminal His-tag for purification purposes . The protein can be purified to greater than 90% purity as determined by SDS-PAGE analysis. For optimal expression, researchers should consider:
Using BL21(DE3) or similar E. coli strains optimized for protein expression
Induction at OD600 of 0.6-0.8 with appropriate IPTG concentration
Post-induction growth at lower temperatures (16-25°C) to enhance proper folding
Utilizing lysis buffers containing protease inhibitors to prevent degradation
This method allows for effective isolation of the protein for subsequent structural and functional analyses.
Recombinant YddM protein should be stored as follows for optimal stability:
Store lyophilized powder at -20°C/-80°C upon receipt
After reconstitution, aliquot the protein to avoid repeated freeze-thaw cycles
For short-term use, working aliquots can be stored at 4°C for up to one week
For long-term storage, add glycerol to a final concentration of 5-50% (50% is recommended) and store at -20°C/-80°C
For reconstitution:
Briefly centrifuge the vial before opening to bring contents to the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Use Tris/PBS-based buffer with 6% trehalose at pH 8.0 as storage buffer
Repeated freeze-thaw cycles significantly reduce protein activity and should be strictly avoided.
YddM has been computationally predicted to function as a transcription factor in Bacillus subtilis . While its precise regulatory targets remain to be fully characterized, it belongs to a category of uncharacterized transcription factors identified through systematic discovery approaches.
Transcription factors like YddM may play roles in regulating various cellular processes in B. subtilis, potentially similar to the extensively studied LutR regulator. For context, LutR has been shown to regulate 65 transcriptional units corresponding to 23 monocistronic units and 42 operons . These regulated processes include:
Degradative enzyme production
Antibiotic production and resistance
Carbohydrate utilization and transport
Nitrogen metabolism
Phosphate uptake
Fatty acid and phospholipid biosynthesis
Protein synthesis and translocation
Cell-wall metabolism
Energy production
Mobile genetic element transfer
Phage-related gene induction
Sporulation regulation
Research examining the specific DNA-binding motifs and target genes of YddM will be crucial to establishing its regulatory network and physiological role in B. subtilis.
While the complete three-dimensional structure of YddM has not yet been experimentally determined, comparative analysis with other bacterial transcription factors can provide insights:
YddM appears to belong to a distinct class of transcription factors similar to others identified in systematic discovery studies such as YbiH, YbaQ, and YeiE . Computational structural prediction approaches similar to those used for YdcI, YeiE, and YiaJ can be applied to model YddM structure using the SWISS-MODEL pipeline, which would:
Identify suitable structural templates from proteins with similar sequence identity
Predict the oligomeric state based on interface conservation scores
Generate a preliminary structural model that could inform DNA-binding mechanisms
Given the uniqueness of some bacterial membrane proteins like YeeE, which displays an unprecedented hourglass fold , YddM may potentially possess novel structural features that facilitate its function as a transcription factor. Experimental structure determination through X-ray crystallography or cryo-EM would be necessary to confirm these predictions.
To characterize YddM's function as a putative transcription factor, several complementary experimental approaches should be employed:
1. ChIP-seq analysis:
Express epitope-tagged YddM in B. subtilis
Perform chromatin immunoprecipitation followed by next-generation sequencing
Identify genome-wide binding sites with peak-calling algorithms
2. RNA-seq differential expression analysis:
Generate YddM deletion mutant (yddM::null)
Compare transcriptome profiles between wild-type and mutant strains
Identify genes with altered expression (typically using ≥2.71-fold difference threshold)
Validate key findings with RT-qPCR
3. DNA-binding motif determination:
Perform electrophoretic mobility shift assays (EMSA) with purified recombinant YddM
Use systematic evolution of ligands by exponential enrichment (SELEX) to identify preferred binding sequences
Employ DNase I footprinting to precisely map protection regions
Validate binding motifs through reporter gene assays using predicted target promoters
These approaches would reveal the regulatory network controlled by YddM, similar to how LutR's regulon was characterized in B. subtilis .
Post-translational modifications (PTMs) can significantly impact transcription factor activity. For YddM, potential PTMs to investigate include:
| Modification Type | Detection Method | Functional Impact | Analysis Approach |
|---|---|---|---|
| Phosphorylation | Mass spectrometry, Phos-tag gels | Altered DNA binding affinity | Compare binding of phosphomimetic vs. non-phosphorylatable mutants |
| Acetylation | Anti-acetyl-lysine antibodies, MS/MS | Changed protein stability | Monitor protein turnover rates with/without deacetylase inhibitors |
| Oxidation | RedOx proteomics, MS | Stress-responsive regulation | Test DNA binding under oxidative stress conditions |
| Proteolytic processing | Western blot, N-terminal sequencing | Generation of active fragments | Express truncated versions to identify minimal functional domain |
Examining how these modifications affect YddM in different growth phases and stress conditions would provide insights into the contextual regulation of its activity. For example, LutR shows maximum expression at the onset of stationary phase when grown in PA medium , suggesting similar growth phase-dependent regulation might occur for YddM.
To effectively assess YddM's DNA-binding activity, researchers should consider the following protocol:
Buffer composition:
20 mM Tris-HCl (pH 7.5-8.0)
50-150 mM NaCl (optimize salt concentration)
1-5 mM MgCl₂
1 mM DTT
5% glycerol
0.1 mg/mL BSA (to prevent non-specific binding)
Electrophoretic Mobility Shift Assay (EMSA) procedure:
Purify recombinant His-tagged YddM using affinity chromatography followed by size-exclusion chromatography
Use fluorescently labeled DNA fragments (25-35 bp) containing putative binding sites
Incubate 50-100 nM YddM with 10 nM labeled DNA for 30 minutes at 25°C
Resolve complexes on 6% non-denaturing polyacrylamide gels
Include competition assays with unlabeled specific and non-specific DNA fragments
Controls and variations:
Test binding under different pH conditions (pH 6.5-8.5)
Examine the effects of divalent cations (Mg²⁺, Ca²⁺, Zn²⁺) on binding affinity
Include a known transcription factor-DNA complex as positive control
Perform binding reactions at different temperatures to determine thermodynamic parameters
This approach can be adapted from methods used to study DNA binding of other B. subtilis transcription factors in the GntR family, similar to LutR .
Creating and validating a yddM knockout strain requires several careful steps:
Generation methods:
Long-flanking homology PCR approach:
Design primers to amplify ~1 kb regions upstream and downstream of yddM
Join these regions to an antibiotic resistance cassette (e.g., spectinomycin)
Transform B. subtilis with the construct and select for antibiotic resistance
CRISPR-Cas9 method:
Design sgRNA targeting yddM sequence
Create repair template with antibiotic marker
Co-transform with Cas9 plasmid and repair template
Screen for successful editing events
Validation protocol:
Genotypic confirmation:
PCR verification using primers flanking the integration site
Sanger sequencing to confirm precise modification
Whole-genome sequencing to rule out off-target effects
Transcriptional validation:
RT-qPCR to confirm absence of yddM transcript
RNA-seq to assess global transcriptional changes
Phenotypic characterization:
Growth curve analysis under various conditions
Stress response evaluation
Biofilm formation assessment
Sporulation efficiency measurement
This approach is similar to the methodology used to create and validate the lutR::Tn10::spc (TEK1) mutant strain for studying LutR function .
When investigating protein-protein interactions involving YddM, researchers should consider multiple complementary approaches:
In vivo approaches:
Bacterial two-hybrid system:
Fuse YddM to T18 fragment of adenylate cyclase
Screen against a library of B. subtilis proteins fused to T25 fragment
Monitor reporter gene activation indicating interaction
Co-immunoprecipitation:
Express epitope-tagged YddM in B. subtilis
Perform IP followed by mass spectrometry to identify interacting partners
Validate interactions with reverse co-IP experiments
In vitro approaches:
Pull-down assays:
Use purified His-tagged YddM as bait
Incubate with B. subtilis cell lysate
Identify bound proteins by mass spectrometry
Surface plasmon resonance (SPR):
Immobilize YddM on sensor chip
Flow candidate interacting proteins
Determine binding kinetics and affinity constants
Specific considerations for YddM:
Test interactions under different growth phases, particularly early stationary phase
Examine interactions in the presence/absence of DNA containing binding sites
Investigate potential interactions with other transcription factors, such as SinR, which has been shown to work cooperatively with other regulators like LutR
Consider potential post-translational modifications that might affect interaction profiles
Understanding YddM's protein-protein interaction network would provide valuable insights into its regulatory mechanisms and biological function in B. subtilis.
To investigate whether YddM functions within a regulatory network similar to LutR, researchers should implement a multi-faceted approach:
1. Comparative transcriptomics:
Perform RNA-seq comparing wild-type, yddM mutant, and lutR mutant strains
Generate double knockout (yddM/lutR) to assess potential overlapping regulatory roles
Analyze data at different growth phases, particularly at the onset of stationary phase
Identify genes that show similar or divergent expression patterns between the mutants
2. Chromatin landscape analysis:
Conduct ChIP-seq for both YddM and LutR under identical conditions
Compare binding profiles to identify shared and unique targets
Perform sequential ChIP (re-ChIP) to detect co-occupancy at specific genomic loci
3. Protein-protein interaction studies:
Test direct interaction between YddM and LutR using in vitro methods
Perform electrophoretic mobility shift assays with both proteins to test for cooperative binding, similar to the approach that revealed cooperation between LutR and SinR
Use bacterial two-hybrid or bimolecular fluorescence complementation to assess interactions in vivo
4. Phenotypic characterization:
Compare phenotypes of single and double mutants for processes regulated by LutR, including:
Antibiotic production
Biofilm formation
Sporulation
Metabolism of specific carbon sources
These approaches would help establish whether YddM and LutR operate in parallel, sequential, or interconnected regulatory pathways in B. subtilis.
Understanding the structure-function relationship of YddM could contribute to antimicrobial development through several potential avenues:
Structural characterization approaches:
X-ray crystallography of purified recombinant YddM
Cryo-electron microscopy for structural determination
NMR spectroscopy for dynamic structural analysis
Hydrogen-deuterium exchange mass spectrometry to identify functional domains
If YddM proves to be essential or important for B. subtilis pathogenicity or survival, structural insights could enable:
Structure-based design of small molecule inhibitors targeting YddM's DNA-binding domain
Development of peptide mimetics that disrupt essential protein-protein interactions
Identification of allosteric sites that could be targeted to modulate YddM activity
This approach would be analogous to targeting other bacterial transcription factors for antimicrobial development, with the advantage that YddM likely has no human homologs, potentially reducing off-target effects.
To assess the evolutionary conservation of YddM:
Bioinformatic analysis approach:
Perform BLAST searches across bacterial genomes to identify homologs
Construct multiple sequence alignments to identify conserved domains
Generate phylogenetic trees to visualize evolutionary relationships
Apply methods similar to those used for YdcI analysis across Gram-negative strains
Functional implications to investigate:
Correlation between YddM conservation and specific bacterial lifestyles or habitats
Identification of highly conserved residues that may be crucial for function
Presence of YddM homologs in pathogenic vs. non-pathogenic bacteria
Co-evolution with putative target genes
This evolutionary perspective would provide context for YddM's biological role and could help prioritize aspects of the protein for further functional studies. If YddM proves to be highly conserved across diverse bacterial species, it may indicate a fundamental role in bacterial physiology.
Based on the amino acid sequence analysis, YddM appears to contain hydrophobic regions that could potentially interact with membranes, which is unusual for transcription factors:
Experimental approaches to characterize membrane association:
Membrane fractionation:
Separate cytoplasmic, membrane, and periplasmic fractions
Detect YddM localization by Western blotting
Protease accessibility assays:
Treat intact cells, spheroplasts, and membrane vesicles with proteases
Analyze proteolytic fragments to determine exposed regions
Fluorescence microscopy:
Create YddM-fluorescent protein fusions
Visualize subcellular localization under different conditions
Functional implications to investigate:
Role of potential membrane association in sensing environmental signals
Mechanism of transition between membrane-associated and DNA-binding states
Comparison with other membrane-associated transcription factors
Effect of membrane composition on YddM activity
Understanding these aspects would provide critical insights into YddM's mechanism of action, particularly if it functions as a membrane-associated transcription factor that responds to specific environmental cues by altering its localization or conformation.
To ensure reliable results when working with recombinant YddM, researchers should implement the following quality control procedures:
Purity assessment:
Size-exclusion chromatography to verify homogeneity
Dynamic light scattering to detect aggregation
Functional validation:
DNA-binding activity assays using putative target sequences
Circular dichroism spectroscopy to confirm proper folding
Thermal shift assays to assess protein stability
Storage stability monitoring:
Activity testing after different storage durations
Assessment of freeze-thaw stability
Evaluation of different buffer formulations
Each new preparation should be benchmarked against previous batches using standardized assays to ensure consistency in experimental results. Detailed documentation of expression conditions, purification steps, and quality control outcomes should be maintained for reproducibility.
Distinguishing direct from indirect regulatory effects requires a systematic approach:
Experimental strategy:
Integrated ChIP-seq and RNA-seq analysis:
Compare YddM binding sites (ChIP-seq) with differentially expressed genes (RNA-seq)
Genes showing both YddM binding and expression changes are candidate direct targets
Genes with expression changes but no binding may be indirectly regulated
Temporal resolution:
Use time-course experiments after YddM induction/depletion
Direct targets typically show more rapid expression changes
Indirect targets show delayed responses
Motif analysis:
Identify DNA-binding motifs from ChIP-seq data
Test if presence of motifs correlates with expression changes
Mutate motifs in reporter constructs to validate direct regulation
In vitro transcription:
Reconstitute transcription system with purified components
Test YddM's ability to directly affect transcription from target promoters
This approach is similar to methods used to identify the 11 single genes and 25 operons that are directly controlled by LutR in B. subtilis , providing a framework for distinguishing YddM's direct and indirect regulatory effects.
When investigating YddM function across different growth phases, researchers should consider:
Experimental design factors:
Controlled growth conditions:
Use chemically defined media with consistent composition
Maintain precise temperature, aeration, and pH control
Consider batch-to-batch variations in complex media components
Sampling strategy:
Collect samples at multiple defined points (lag, exponential, transition, early stationary, late stationary)
Use OD600 measurements and growth curve standardization
Consider parallel sampling for different analyses (RNA, protein, metabolites)
Expression monitoring:
Data analysis considerations:
Normalize expression data to appropriate reference genes for each growth phase
Account for global transcriptional/translational changes during growth phase transitions
Use time-series analysis methods to identify temporal patterns
This approach would reveal how YddM expression and activity change throughout the B. subtilis life cycle, similar to how LutR expression was found to reach maximum levels at the onset of stationary phase (OD600 ~7) in PA medium .
Developing specific antibodies against YddM requires careful planning:
Antigen design strategies:
Full-length protein approach:
Peptide-based approach:
Identify immunogenic epitopes using prediction algorithms
Select 2-3 peptides from different regions (15-20 amino acids each)
Conjugate to carrier protein (KLH or BSA)
Antibody production considerations:
Choose between polyclonal (broader epitope recognition) and monoclonal (higher specificity)
Select appropriate animal species (rabbit, mouse, chicken)
Include pre-immune serum collection for negative controls
Validation requirements:
Western blot against recombinant YddM and B. subtilis lysates
Compare wild-type and yddM deletion strains
Test cross-reactivity with related proteins
Validate for specific applications (IP, ChIP, immunofluorescence)
Properly validated antibodies would enable various applications including protein level quantification, localization studies, and chromatin immunoprecipitation experiments essential for understanding YddM's function in vivo.
Studying uncharacterized proteins like YddM has several important implications:
Discovery of novel regulatory mechanisms:
May reveal previously unknown DNA-binding motifs or regulatory principles
Could identify new types of environmental sensing mechanisms
Completion of regulatory networks:
Helps fill gaps in our understanding of bacterial transcriptional networks
May reveal connections between previously unrelated physiological processes
Evolutionary insights:
Provides perspective on the conservation and divergence of regulatory systems
May reveal lineage-specific adaptations in bacterial gene regulation
Practical applications:
Potential identification of new antimicrobial targets
Possible biotechnological applications for synthetic biology