The term "Recombinant Pseudomonas syringae pv. tomato Glucans Biosynthesis Protein G (OpgG), partial" refers to a genetically engineered, incomplete version of the OpgG protein found in the bacterium Pseudomonas syringae pv. tomato. To fully understand this compound, it's important to break down its components:
Pseudomonas syringae pv. tomato: This is a specific strain of bacteria known to cause bacterial speck disease in tomato plants .
Glucans Biosynthesis Protein G (OpgG): OpgG is a protein involved in the synthesis of periplasmic glucans, which are glucose polymers located in the periplasmic space between the inner and outer membranes of bacteria . These glucans play a role in osmoregulation and survival under stress conditions .
Recombinant: This indicates that the protein has been produced using recombinant DNA technology, meaning the gene encoding OpgG was inserted into a host organism (e.g., E. coli) to produce the protein in larger quantities .
Partial: This signifies that only a fragment or a portion of the full-length OpgG protein is being studied or utilized. This could be due to various reasons, such as focusing on a specific functional domain of the protein or expressing a truncated version for experimental purposes.
OpgG is a glucosyltransferase enzyme involved in the synthesis of periplasmic glucans in Pseudomonas syringae pv. tomato . Periplasmic glucans are essential for bacterial survival and virulence, particularly under stressful conditions. They help in:
Osmoregulation: Maintaining osmotic balance within the bacterial cell .
Stress Tolerance: Protecting the bacteria against environmental stresses such as desiccation and osmotic shock .
Virulence: Contributing to the bacterium's ability to infect and cause disease in plants .
The study of OpgG and its role in glucan biosynthesis is important for understanding the mechanisms by which Pseudomonas syringae pv. tomato causes disease and survives in the environment.
Because there is no experimental data available regarding the “Recombinant Pseudomonas syringae pv. tomato Glucans biosynthesis protein G (opgG), partial”, I am unable to create any data tables.
KEGG: pst:PSPTO_5162
STRING: 223283.PSPTO_5162
OpgG (also known as mdoG) is a glucans biosynthesis protein essential for the production of osmoregulated periplasmic glucans (OPGs) in Pseudomonas syringae pv. tomato. In Proteobacteria like P. syringae, OPGs are involved in osmoprotection, biofilm formation, virulence, and resistance to antibiotics. The OpgG protein specifically functions in the biosynthesis pathway of these complex glucan structures, which are produced in response to low osmolarity environments .
While OpgG proteins share functional similarities across bacterial species, structural and sequence variations exist. In E. coli, OpgG has been characterized as a protein composed of two beta-sandwich domains: a large N-terminal domain (residues 22-388) with a 25-stranded beta-sandwich fold found in many carbohydrate-related proteins, and a smaller C-terminal domain (residues 401-512) with a seven-stranded immunoglobulin-like beta-sandwich fold. The E. coli OpgG is suggested to function as an OPG branching enzyme. In Pseudomonas syringae, similar functions have been demonstrated, though some species-specific differences in regulation and exact enzymatic activity may exist .
OpgG plays a significant role in bacterial pathogenicity across multiple species. In various Gram-negative pathogens, including P. syringae, the knockout of opgG results in loss of pathogenicity. This is because OPGs function as essential signaling molecules in host-pathogen interactions. Studies have shown that OPGs are involved in transmitting external signals and may contribute to virulence by affecting the bacteria's ability to adapt to environmental conditions within the host. Additionally, OPGs have been implicated in biofilm formation, which further contributes to bacterial resistance and persistence during infection .
OpgG protein contains two distinct domains with different structural characteristics. Based on studies of E. coli OpgG (which shares functional similarity with P. syringae OpgG):
The N-terminal domain (residues 22-388) consists of a 25-stranded beta-sandwich fold common in carbohydrate-processing enzymes. This domain contains a large cleft with numerous aromatic and acidic residues, suggesting its role in substrate binding and catalytic activity.
The C-terminal domain (residues 401-512) has a seven-stranded immunoglobulin-like beta-sandwich fold, commonly involved in molecular interactions.
These domains are connected by a 3₁₀ helix. The putative catalytic activity is believed to reside in the N-terminal domain, while the C-terminal domain may regulate this activity through interactions with other molecules .
Recent structural and functional analyses have revealed that OpgG and its paralog OpgD are β-1,2-glucanases with markedly different activities. Together, they establish a new glycoside hydrolase family, GH186. The reaction mechanism for OpgD involves an unusually long proton transfer pathway compared to other glycoside hydrolase families. The structural differences in the regions forming this reaction pathway between OpgG and OpgD explain the observed lower activity of OpgG. These findings have significantly enhanced our understanding of OPG biosynthesis and provide insights into the functional diversity within this novel enzyme family .
For the purification of recombinant His₆-tagged OpgG from bacterial expression systems, immobilized metal-ion affinity chromatography (IMAC) is the recommended approach. Research has shown that optimizing the purification conditions can significantly improve both yield and purity:
Using EDTA-Mg²⁺ treatment in combination with periplasmic extraction enhances the specificity of polyhistidine tag binding to Ni-IDA (iminodiacetic acid) chromatography matrices.
This approach eliminates the need for buffer exchange after periplasmic extraction, which is typically required to remove EDTA before IMAC purification.
The presence of low concentrations of EDTA-Mg²⁺ in feed streams weakens non-specific adsorption while making the binding more specific toward the polyhistidine tag.
This methodology significantly improves the purity of the recombinant protein by eliminating undesired adsorption of host cell proteins. The final purified product should achieve ≥85% purity as determined by SDS-PAGE analysis .
Multiple expression systems have been successfully employed for producing recombinant OpgG protein, each with distinct advantages:
E. coli expression systems: Most commonly used due to rapid growth, high yield, and established protocols. For OpgG specifically, E. coli has been shown to effectively produce the recombinant protein with proper folding when expressed with a His₆-tag for purification.
Yeast expression systems: Beneficial when post-translational modifications are required, though not typically necessary for bacterial proteins like OpgG.
Baculovirus expression systems: Useful for producing larger quantities of properly folded proteins when E. coli systems prove challenging.
Mammalian cell expression systems: Generally reserved for proteins requiring complex folding or extensive post-translational modifications.
For most research applications involving recombinant OpgG, the E. coli expression system provides the best balance of yield, cost-effectiveness, and functional protein production .
To study OpgG function in P. syringae, a comprehensive experimental design should include:
Gene deletion strategies:
Create opgG knockout mutants using homologous recombination techniques
Utilize suicide plasmids (like pDS132-ΔopgGH) for gene deletion
Verify deletions by PCR and sequencing
Complementation studies:
Reintroduce the opgG gene under an inducible promoter (like araBAD)
Create plasmid constructs (e.g., pBAD24-opgG) for controlled expression
Transform into mutant strains to confirm phenotype restoration
Phenotypic characterization:
Assess bacterial growth under various osmotic conditions
Evaluate biofilm formation capabilities
Measure virulence in appropriate plant host models
Analyze OPG production using biochemical assays
Signal transduction analysis:
Investigate interactions with regulatory systems (e.g., Rcs pathway)
Create double mutants (opgG plus regulatory genes) to study pathway interactions
This experimental approach allows for comprehensive functional characterization of OpgG while adhering to established one-group experimental designs for proper scientific rigor .
Recombinant OpgG provides a valuable tool for investigating bacterial osmoadaptation mechanisms:
In vitro enzymatic assays: Purified recombinant OpgG can be used to study the kinetics and substrate specificity of glucan synthesis under varying osmotic conditions, providing insights into how the protein's activity is regulated by environmental osmolarity.
Structure-function analysis: Site-directed mutagenesis of recombinant OpgG can help identify key residues involved in sensing osmotic changes or catalyzing glucan synthesis, particularly focusing on the N-terminal domain that contains the putative catalytic site.
Reconstitution experiments: Adding purified recombinant OpgG to membrane preparations or liposome systems can help determine how the protein interacts with membrane components during osmotic adaptation.
Protein-protein interaction studies: Using recombinant OpgG as bait in pull-down assays or yeast two-hybrid screens can identify interaction partners that may regulate its activity in response to osmotic changes.
Comparative studies: Analyzing recombinant OpgG from different bacterial species that inhabit diverse osmotic environments (from 10 mOsM in freshwater to 1,000 mOsM in seawater) can reveal evolutionary adaptations in protein function .
Research has revealed complex relationships between OpgG and genomic plasticity in Pseudomonas species. Studies have shown that:
In some virulent strains of P. syringae pv. phaseolicola, cryptic plasmids (like the 98-megadalton pMC7105) can integrate into the chromosome after exposure to plasmid-curing agents such as mitomycin C.
This integration process is followed by imprecise excision events that can result in the formation of smaller derivative plasmids, while parts of the original plasmid remain integrated into the chromosome.
While direct evidence linking OpgG to these processes is still emerging, the periplasmic location of OPGs and their role in membrane organization suggests they may influence the cell's ability to acquire and maintain foreign DNA.
The relationship between OpgG-dependent OPG synthesis and plasmid transfer/maintenance systems represents an important area for future research, particularly in understanding the evolution of virulence factors and antibiotic resistance genes in plant pathogens .
OpgG-dependent OPG production influences plant-pathogen interactions through several mechanisms:
PAMP recognition evasion: OPGs may mask pathogen-associated molecular patterns (PAMPs) that would otherwise trigger plant immune responses. By altering the bacterial cell surface properties, OpgG-produced glucans can help bacteria avoid recognition by plant pattern recognition receptors.
Signal transduction interference: OPGs can intercept or modify plant defense signaling molecules, affecting the host's ability to mount effective immune responses. This interference may occur through molecular mimicry or by physically blocking signal transduction pathways.
Biofilm matrix components: OpgG-produced glucans contribute to biofilm formation, creating a protective environment that shields bacteria from plant antimicrobial compounds and environmental stresses during colonization.
Effector protein delivery: The proper functioning of type III secretion systems, which deliver bacterial effector proteins into plant cells, depends on membrane integrity and periplasmic conditions that are influenced by OPGs.
Symbiotic relationship modulation: In some bacterial species, OPGs serve as symbiotic factors, suggesting that OpgG may play dual roles in pathogenicity and mutualistic interactions depending on the bacterial species and host context .
Researchers frequently encounter several challenges when attempting to produce soluble recombinant OpgG:
Inclusion body formation: OpgG often forms insoluble aggregates when overexpressed in E. coli.
Solution: Optimize growth conditions by reducing expression temperature (16-20°C), using weaker promoters, or co-expressing molecular chaperones like GroEL/GroES.
Improper folding: The complex beta-sandwich domains of OpgG can misfold.
Solution: Express the protein as fusion constructs with solubility enhancers like MBP (maltose-binding protein) or SUMO, which can be later cleaved with specific proteases.
Low expression levels: Sometimes OpgG expression is poor despite optimized vectors.
Solution: Codon optimization for the expression host, use of specialized expression strains like BL21(DE3) pLysS, or testing different E. coli strains like Rosetta for rare codon supplementation.
Protein degradation: OpgG may be subject to proteolytic degradation.
Solution: Include protease inhibitors during purification, use protease-deficient host strains, or optimize extraction conditions with different buffer compositions.
Periplasmic targeting issues: As a periplasmic protein, proper targeting can be problematic.
Integrating proteomics with functional studies of OpgG provides a comprehensive understanding of its physiological role:
Quantitative proteomics approaches:
Utilize techniques like LC-MS/MS to compare protein expression levels between wild-type and opgG mutant strains
Raw data analysis can identify proteins with significantly altered expression, as shown in the provided proteomics dataset where OpgG (Q87UY0) in P. syringae pv. tomato DC3000 showed distinct expression patterns compared to other proteins
Protein-protein interaction networks:
Employ affinity purification-mass spectrometry (AP-MS) with tagged OpgG to identify interaction partners
Create interaction maps to visualize OpgG's position within bacterial cellular networks
Post-translational modification analysis:
Identify potential regulatory modifications of OpgG using phosphoproteomics or glycoproteomics
Correlate modifications with changes in environmental conditions or osmotic stress
Multi-omics data integration:
Combine proteomics data with transcriptomics and metabolomics to build comprehensive models of glucan metabolism
Use statistical approaches to correlate OpgG expression with specific metabolic pathways
Evolutionary proteomics:
When faced with contradictory findings about OpgG function across different Pseudomonas strains, researchers should implement these systematic approaches:
Standardized experimental protocols:
Develop and adopt consistent methodologies for OpgG purification, activity assays, and phenotypic characterization
Ensure that growth conditions, media compositions, and assay parameters are comparable across studies
Comprehensive genetic context analysis:
Sequence the complete opgG locus and surrounding regions in each strain
Identify strain-specific genetic elements (promoters, regulatory regions, operon structure) that may affect OpgG expression or function
Consider the presence of paralogous genes like opgD that may compensate for OpgG function in some strains
Cross-complementation studies:
Perform reciprocal gene replacement experiments where the opgG gene from one strain is expressed in the opgG mutant of another strain
Assess whether the phenotypic differences are due to the opgG gene itself or the genetic background
Structural biology approaches:
Determine and compare the three-dimensional structures of OpgG proteins from different strains
Identify structural variations that might explain functional differences
Environmental context considerations:
Evaluate whether contradictory findings might result from strain-specific adaptations to different ecological niches
Test OpgG function under a range of environmental conditions relevant to each strain's natural habitat
This methodical approach can help reconcile seemingly contradictory findings by distinguishing between true biological variation and experimental artifacts .