Recombinant Meyerozyma guilliermondii Probable Endonuclease LCL3 (LCL3) is a recombinant protein derived from the yeast Meyerozyma guilliermondii, which is known for its diverse roles in both industrial and medical contexts. Meyerozyma guilliermondii, formerly known as Candida guilliermondii, is a species complex that includes Meyerozyma carpophila and Meyerozyma caribbica . The LCL3 protein is of particular interest due to its potential enzymatic functions, which could be leveraged in various biotechnological applications.
The recombinant LCL3 protein is typically expressed in bacterial systems like E. coli, where it is often tagged with a His-tag to facilitate purification. This protein is considered full-length, spanning the entire amino acid sequence of the native LCL3 enzyme.
| Characteristics | Description |
|---|---|
| Source | Meyerozyma guilliermondii |
| Expression System | E. coli |
| Tag | His-tag |
| Protein Length | Full Length (1-235 amino acids) |
ELISA kits are available for detecting recombinant Meyerozyma guilliermondii Probable Endonuclease LCL3 (LCL3), indicating a growing interest in quantifying this protein in various samples .
KEGG: pgu:PGUG_04999
STRING: 4929.A5DNZ8
M. guilliermondii is a yeast that has attracted scientific interest due to its diverse ecological roles. While it exists as a saprophyte on human mucosa and skin, it can also cause invasive infections in immunocompromised individuals, particularly those undergoing chemotherapy or with malignancies . Beyond its clinical significance, M. guilliermondii demonstrates valuable biotechnological properties, including the ability to degrade mycotoxins like patulin and produce lipids from crude glycerol . The species belongs to the M. guilliermondii complex, which includes M. guilliermondii, M. carpophila, and M. caribbica . Research on its enzymes, including the probable endonuclease LCL3, advances our understanding of its molecular biology and potential applications.
M. guilliermondii has a fully sequenced reference genome (strain ATCC 6260) available in the NCBI database . The genome serves as an essential resource for identifying and characterizing genes encoding enzymes like LCL3. Researchers can utilize this reference for primer design, gene cloning, and comparative genomic analyses. When studying LCL3, it's important to note that transcriptomic studies of M. guilliermondii under stress conditions have revealed complex molecular responses involving numerous differentially expressed genes related to resistance mechanisms, intracellular transport, growth, reproduction, and DNA damage repair .
For recombinant expression of M. guilliermondii LCL3, researchers should consider several expression systems based on their experimental objectives:
| Expression System | Advantages | Limitations | Recommended Applications |
|---|---|---|---|
| E. coli | High yield, rapid growth, economical | Limited post-translational modifications, potential inclusion body formation | Initial characterization, structural studies |
| P. pastoris | Proper protein folding, high-density culture, inducible expression | Longer expression time, more complex media | Functional studies requiring proper folding |
| S. cerevisiae | Similar codon usage to M. guilliermondii, good for fungal proteins | Lower yields than P. pastoris | Studies requiring authentic post-translational modifications |
| Homologous expression (M. guilliermondii) | Native folding and processing | More challenging transformation protocols | Studies of native interactions and regulation |
When expressing LCL3 in heterologous systems, codon optimization should be considered, particularly when using bacterial systems, as M. guilliermondii belongs to the CTG clade with alternative codon usage .
A systematic approach to characterizing LCL3 activity should include:
Buffer optimization: Test activity across pH range 5.0-9.0 using appropriate buffer systems
Temperature optimization: Assess activity from 25°C to 65°C
Metal ion requirements: Screen divalent cations (Mg²⁺, Mn²⁺, Ca²⁺, Zn²⁺) at 1-10 mM
Salt concentration: Evaluate impact of NaCl (0-500 mM)
Substrate specificity: Test activity on:
Single-stranded DNA
Double-stranded DNA
Various DNA structures (linear, circular, supercoiled)
RNA substrates
Document experimental conditions meticulously, as M. guilliermondii proteins may demonstrate unique biochemical properties related to the organism's ability to thrive in diverse environments and stress conditions .
Transcriptomic analysis provides valuable insights into LCL3 regulation and function during stress responses. Based on previous studies with M. guilliermondii, researchers should:
Design RNA-seq experiments comparing gene expression under normal conditions versus relevant stressors (antifungal exposure, oxidative stress, DNA-damaging agents)
Include time-course analyses to capture early, intermediate, and late stress responses
Compare wild-type strains with LCL3 knockout/knockdown strains to identify downstream affected pathways
Apply GO enrichment and KEGG pathway analyses to contextualize LCL3 within broader cellular responses
Researchers should note that M. guilliermondii demonstrates complex transcriptional responses to stressors, with previous studies showing that exposure to patulin led to significant regulation of genes involved in resistance, drug-resistance, intracellular transport, growth, DNA damage repair, and antioxidant stress mechanisms .
CRISPR-Cas9 genome editing offers powerful approaches to investigate LCL3 function through:
Complete gene knockout: Removing the entire LCL3 coding sequence
Targeted mutagenesis: Creating specific mutations in catalytic domains
Promoter modifications: Altering expression levels without changing protein sequence
Fluorescent tagging: Adding reporter genes for localization studies
When designing CRISPR-Cas9 experiments for M. guilliermondii, researchers should:
Optimize transformation protocols specifically for this organism
Design guide RNAs with high specificity, accounting for the GC content of the genome
Include appropriate selection markers compatible with M. guilliermondii
Verify modifications through sequencing and expression analysis
Phenotypic characterization of LCL3-modified strains should assess growth rates, stress tolerance, and DNA damage responses, particularly given M. guilliermondii's known responses to stressors like antifungal agents .
Purification of active LCL3 presents several challenges researchers should anticipate:
Potential toxicity to expression hosts due to nuclease activity
Risk of proteolytic degradation during extraction
Maintaining proper folding and cofactor incorporation
Distinguishing LCL3 activity from contaminating nucleases
A recommended purification protocol would include:
Affinity chromatography (His-tag or FLAG-tag)
Ion-exchange chromatography
Size-exclusion chromatography
Activity verification at each purification step
Researchers should note that M. guilliermondii proteins may have unique stability characteristics, as the organism demonstrates adaptability to various environmental conditions .
To confirm that observed nuclease activity is specifically from LCL3 and not from contaminants:
Perform site-directed mutagenesis of predicted catalytic residues
Compare activity of wild-type and mutant proteins
Use substrate competition assays
Conduct inhibition studies with nuclease inhibitors
Analyze cleavage patterns and compare to known nuclease signatures
Conduct western blotting with LCL3-specific antibodies to correlate protein presence with activity
Each validation step should be carefully documented and include appropriate controls to enable confident attribution of the observed enzymatic activity to LCL3.
M. guilliermondii demonstrates reduced sensitivity to conventional antifungals including amphotericin B, fluconazole, micafungin, and anidulafungin . To investigate LCL3's potential role in this resistance:
Compare LCL3 expression levels between susceptible and resistant strains
Monitor LCL3 expression during antifungal exposure using RT-qPCR
Determine if LCL3 knockouts show altered minimum inhibitory concentrations (MICs)
Investigate LCL3 involvement in DNA repair pathways potentially activated by antifungal stress
Researchers should contextualize findings within known resistance mechanisms in M. guilliermondii, as increased antifungal MICs have been linked to prophylactic and empirical drug use .
M. guilliermondii can degrade patulin, a mycotoxin produced by Penicillium expansum . To explore potential connections between LCL3 and mycotoxin degradation:
Compare transcriptional profiles of wild-type and LCL3-deficient strains during patulin exposure
Assess patulin degradation efficiency in LCL3 knockout strains
Determine if LCL3 is involved in stress responses triggered by patulin
Investigate whether LCL3 affects expression of known detoxification enzymes like short-chain dehydrogenases
Previous transcriptomic studies have shown that M. guilliermondii's response to patulin involves upregulation of genes related to resistance, drug-resistance, and detoxification pathways , providing context for investigating LCL3's potential role.
Based on the characteristics of M. guilliermondii and its enzymes, potential biotechnological applications for LCL3 include:
Development of tools for DNA manipulation if LCL3 demonstrates specific cleavage patterns
Bioremediation applications if LCL3 is involved in degradation pathways
Biofuel production enhancement if related to the organism's lipid metabolism capabilities
Novel antifungal target discovery based on essential cellular functions
When exploring these applications, researchers should consider M. guilliermondii's demonstrated versatility in utilizing diverse carbon sources, including crude glycerol , and its ability to thrive in various environments.
Computational methods offer valuable insights into LCL3 structure and function:
Homology modeling based on known endonuclease structures
Molecular dynamics simulations to analyze substrate binding mechanisms
Virtual screening for potential inhibitors or activators
Prediction of post-translational modifications that might regulate activity
Comparative genomics to identify conserved functional domains across fungal species
These in silico approaches should complement experimental data to develop comprehensive models of LCL3 function within the broader context of M. guilliermondii biology.
When facing difficulties expressing recombinant LCL3:
| Challenge | Potential Solution | Implementation Method |
|---|---|---|
| Low expression levels | Optimize codon usage | Synthesize codon-optimized gene for expression host |
| Protein toxicity | Use tightly controlled inducible systems | IPTG-inducible or methanol-inducible promoters with careful titration |
| Inclusion body formation | Lower expression temperature | Reduce to 16-20°C during induction phase |
| Proteolytic degradation | Add protease inhibitors | Include complete protease inhibitor cocktail during extraction |
| Improper folding | Use solubility-enhancing tags | Fuse with MBP, SUMO, or thioredoxin |
Researchers should document all optimization attempts systematically, as successful expression strategies for M. guilliermondii proteins may provide valuable methodological insights for future studies.
When investigating LCL3's involvement in DNA repair:
Include well-characterized DNA repair-deficient strains as positive controls
Use DNA-damaging agents with distinct mechanisms (UV, H₂O₂, MMS) to identify pathway specificity
Employ time-course experiments to capture repair kinetics
Include both wild-type and catalytically inactive LCL3 variants
Quantify DNA damage using multiple methods (comet assay, γH2AX staining)
These controls are particularly important given M. guilliermondii's demonstrated ability to respond to various stressors through complex molecular mechanisms involving DNA damage repair pathways .
When facing discrepancies between in vitro biochemical data and in vivo functional studies of LCL3:
Consider physiological relevance of buffer conditions used in vitro
Evaluate potential interactions with other cellular components absent in purified systems
Assess post-translational modifications that may occur in vivo but not in vitro
Examine compartmentalization effects within the cell
Consider redundancy of nuclease functions in the organism
Interpret results within the context of M. guilliermondii's complex molecular responses to environmental conditions, as demonstrated in previous transcriptomic studies .
For robust statistical analysis of LCL3 experimental data:
For enzyme kinetics: Non-linear regression to determine Km and Vmax values
For growth phenotypes: Repeated measures ANOVA with appropriate post-hoc tests
For transcriptomic data: FDR-corrected p-values for differential expression
For multiple experimental conditions: Consider factorial design analysis
For all experiments: Include minimum of three biological replicates
When designing experiments, consider using approaches like Central Composite Rotational Design, which has been successfully applied to optimize growth conditions for M. guilliermondii in previous studies .