Bradyrhizobium japonicum Coenzyme PQQ synthesis protein D (pqqD) is a protein needed for the creation of pyrroloquinoline quinone (PQQ), which acts as a cofactor in various bacterial processes . PqqD is a PqqA binding protein .
PQQ, for which pqqD is essential for its synthesis, is a cofactor for quinoproteins or quinoenzymes, which participate in mineral phosphate solubilization, lupanine degradation, ethanol oxidation, and phenylethylamine and 2-phenylethanol metabolism . PQQ also aids in cellular protection against oxidative stress, irradiation, and DNA-damaging agents . In Bradyrhizobium japonicum, PQQ biosynthesis genes are induced by desiccation stress . Mutants in pqqC and pqqB have shown increased sensitivity to chloramphenicol, suggesting PQQ's role in tolerance to this antibiotic .
PQQ is involved in stress endurance in Pseudomonas putida, potentially related to the oxidative stress response . Bradyrhizobium japonicum also uses PQQ to mitigate oxidative stress during desiccation .
PQQ functions as a catalytic accessory factor for lactate and other dehydrogenases in the oxidation of NADH to NAD+ . It also enhances NAD+-dependent sirtuin activity and the expression of sirtuin targets, such as PGC–1α, NRF–1 and 2, and TFAM .
The pqqABCDE gene cluster encodes proteins for PQQ biosynthesis . Besides pqqD, other genes like pqqF, pqqL, pqqG, pqqH, pqqM, and tldD are associated with PQQ production .
Regulatory genes like mxbM, mxbD, and mxaB are required for the transcription of pqqD .
In Gluconobacter oxydans, PQQ serves as a cofactor for membrane-bound dehydrogenases that oxidize sugars and alcohols . A pqqA mutant of G. oxydans did not grow with d-mannitol, d-glucose, or glycerol, indicating that PQQ is essential for growth with these substrates .
R. palustris CGA009 can produce PQQ, with genes pqqB, pqqC, pqqD, and pqqE involved in its biosynthesis .
Table 1: Peptidase Genes Related to PQQ Production in R. palustris CGA009
| Gene | Protein |
|---|---|
| pqqB | Pyrroloquinoline_quinone_biosynthesis_protein_PqqB |
| pqqC | Pyrroloquinoline_quinone_synthase_PqqC |
| pqqD | Pyrroloquinoline_quinone_biosynthesis_peptide_chaperone_PqqD |
| pqqE | Pyrroloquinoline_quinone_biosynthesis_protein_PqqE |
| TX73_RS20405 | PqqD_family_protein |
| TX73_RS04330 | Predicted Zn-dependent peptidase (PqqL) |
KEGG: bja:blr6738
STRING: 224911.blr6738
PqqD functions as a critical chaperone protein required in the biosynthesis pathway of pyrroloquinoline quinone (PQQ), an important bacterial dehydrogenase cofactor. In the PQQ biosynthetic pathway, pqqD acts specifically as a RiPP (ribosomally synthesized and post-translationally modified peptide) precursor peptide recognition element (RRE). Its primary function is to recognize and bind the precursor peptide PqqA, then present it to the first enzyme in the pathway, PqqE. Unlike other RiPP-producing pathways where the RRE is typically a component domain of the first enzyme, PqqD exists predominantly as a separate scaffolding protein that forms a ternary complex with both the precursor peptide and the first modifying enzyme. This arrangement makes the PQQ pathway particularly interesting as a model system for studying RRE interactions .
PqqD appears to be widely distributed across prokaryotic species, particularly among Gram-negative bacteria. Comprehensive bioinformatics analyses have identified core components of PQQ biosynthesis (including pqqD) in approximately 126 prokaryotic species. Of these, about 88% are proteobacteria, with α-, β- and γ- classes well represented. Bradyrhizobium species, including B. japonicum, are among the organisms that contain the pqqD gene as part of their PQQ biosynthetic machinery. While five genes (pqqA-E) are found consistently across PQQ-producing bacteria, the sixth gene (pqqF) appears in only some species. This distribution pattern suggests that pqqD is a conserved and essential component of the PQQ biosynthetic pathway across multiple bacterial taxa, including B. japonicum .
The solution NMR structure of PqqD from Methylobacterium extorquens reveals key structural elements that directly relate to its function as a chaperone in the PQQ biosynthesis pathway. The structure shows specific residues involved in binding both the precursor peptide (PqqA) and the enzyme (PqqE). 1H-15N HSQC binding experiments have precisely identified these binding surfaces on the protein. PqqD adopts a stable, independent structure that makes it particularly suitable for NMR studies of RRE interactions. The structural data indicates that PqqD functions as a physical mediator, with distinct surfaces dedicated to binding PqqA and PqqE, facilitating the formation of a ternary complex critical for the initial steps of PQQ biosynthesis .
For generating recombinant site-directed mutants of B. japonicum, including those involving the pqqD gene, a rapid and efficient selection method has been developed to overcome the challenges posed by the high incidence of spontaneous antibiotic resistance and slow growth of Bradyrhizobium strains. This approach utilizes antibiotic resistance cassettes (kanamycin or spectinomycin) to replace DNA fragments in the chromosome through homologous recombination. The procedure involves:
Simple plate selection for antibiotic-resistant mutants
Colony streaking
Cell lysis directly on nitrocellulose filters
DNA hybridization to identify recombinant site-directed mutants
This streamlined method allows researchers to quickly identify positive recombinant mutants from large numbers of colonies without the need to first isolate genomic DNA from each mutant for Southern hybridization. Testing confirms that mutants generated through this approach consistently exhibit the expected mutant phenotype, making it particularly valuable for studies involving pqqD in B. japonicum .
Analyzing pqqD expression in B. japonicum under varying symbiotic conditions requires a multi-faceted approach. Quantitative reverse transcription PCR (qRT-PCR) has emerged as the method of choice for evaluating the expression of target genes in rhizobia, including pqqD. When designing expression studies, researchers should consider:
Testing expression in response to isoflavonoids (particularly genistein), which are known to induce rhizobial genes
Examining expression in response to soybean seed extracts, root exudates, and peribacteroid solutions
Comparing expression patterns between free-living conditions and bacteroids
Evaluating response to environmental stressors, such as drought
Previous transcriptome studies have primarily used B. diazoefficiens USDA 110 (formerly classified as B. japonicum) as a model for whole-genome expression profiling using micro and macro-arrays. When working specifically with B. japonicum pqqD, researchers should design primers targeting conserved regions of the gene and normalize expression data using validated reference genes that remain stable under the conditions being tested .
For obtaining active recombinant pqqD protein suitable for in vitro studies, particularly for interaction analyses with other PQQ biosynthesis components, researchers should consider a purification strategy based on approaches used for similar RRE proteins. While specific purification protocols for B. japonicum pqqD are not directly detailed in the search results, the following approach can be recommended based on successful studies with PqqD from other species:
Express the protein with an affinity tag (His6 is commonly used) in an E. coli expression system
Use immobilized metal affinity chromatography (IMAC) as the initial purification step
Apply size exclusion chromatography as a secondary purification step to ensure homogeneity
For structural studies requiring isotope labeling (as would be needed for NMR studies similar to those performed with M. extorquens PqqD), grow the expression strain in minimal media supplemented with 15N-labeled ammonium chloride and/or 13C-labeled glucose
Verify protein activity through binding assays with synthesized PqqA peptide and recombinant PqqE
This approach has proven successful for obtaining PqqD suitable for detailed structural and functional analyses, including NMR studies that have revealed key binding interfaces .
| Species | PQQ Genes Present | PqqD Function | Notable Features |
|---|---|---|---|
| B. japonicum | pqqA-E | Precursor peptide chaperone | Part of symbiosis island, potential role in nitrogen fixation |
| Klebsiella pneumoniae | pqqA-F | Precursor peptide chaperone | Complete set of PQQ genes including pqqF |
| Methylobacterium extorquens | pqqA-E, pqqG | Precursor peptide chaperone | Has fused pqqC/D gene and additional pqqG |
| Gluconobacter oxydans | pqqA-E | Precursor peptide chaperone | Important for oxidative fermentation |
| Rahnella aquatilis | pqqA-F | Precursor peptide chaperone | Complete set of genes including pqqF |
The most effective methods for studying interactions between pqqD, pqqA, and pqqE in the PQQ biosynthesis pathway draw from techniques successfully employed with similar systems. Based on the research with M. extorquens PqqD, the following approaches are recommended:
NMR Spectroscopy: 1H-15N HSQC binding experiments have proven particularly valuable for identifying specific residues involved in protein-protein and protein-peptide interactions. This approach can map the binding surfaces between PqqD and both PqqA and PqqE with residue-level resolution.
Isothermal Titration Calorimetry (ITC): For quantitative measurement of binding affinities and thermodynamic parameters of the interactions.
Size Exclusion Chromatography: To verify complex formation between the three components and determine the stoichiometry of binding.
Site-Directed Mutagenesis: Based on structural data, targeted mutations of residues involved in binding can validate their importance and elucidate the molecular basis of recognition.
Cross-linking Studies: Chemical cross-linking combined with mass spectrometry can provide information about interacting regions between the proteins.
These methods, when applied to recombinant B. japonicum proteins, would provide comprehensive insights into how PqqD functions as a molecular chaperone in the context of the complete biosynthetic pathway .
The B. japonicum symbiosis island contains numerous hypothetical proteins (HPs) that may have undiscovered functional relationships with known components like pqqD. Recent research has focused on characterizing these HPs, particularly those induced by isoflavonoids, which are known to trigger molecular responses related to symbiosis.
Among the 15 hypothetical proteins recently studied in the symbiosis island of B. japonicum strain SEMIA 5079, several showed expression patterns influenced by isoflavonoids, suggesting potential roles in symbiosis-related processes. While direct interactions between these HPs and pqqD were not specifically addressed in the search results, the methodological approach used to study these proteins—combining bioinformatics analysis with expression studies—provides a valuable framework for investigating potential functional relationships.
Key considerations for researchers interested in exploring relationships between HPs and pqqD include:
Analyzing the genomic proximity of HPs to pqqD and other PQQ biosynthesis genes
Examining co-expression patterns in response to symbiotic signals
Conducting protein-protein interaction studies between pqqD and candidate HPs
Performing comparative genomic analyses across Bradyrhizobium species to identify conserved patterns
The distribution analysis of hypothetical proteins across different Bradyrhizobium species has revealed varying patterns of conservation, which could provide clues about their evolutionary and functional relationships with essential pathways like PQQ biosynthesis .
Given B. japonicum's importance as a nitrogen-fixing symbiont of soybean widely used in commercial inoculants, understanding and potentially modifying pqqD function has significant implications for agricultural biotechnology. PQQ itself has been associated with plant growth promotion, and manipulating its biosynthesis through pqqD could enhance symbiotic relationships and improve crop productivity.
Potential applications include:
Development of enhanced inoculants with optimized PQQ production for improved plant growth and stress tolerance
Creation of biosensors using recombinant pqqD to monitor environmental conditions affecting symbiotic relationships
Engineering of B. japonicum strains with modified pqqD to enhance competitiveness in soil environments
Investigation of pqqD as a target for improving nitrogen fixation efficiency in legume crops
These applications would require a thorough understanding of pqqD's role in both PQQ biosynthesis and symbiotic nitrogen fixation processes specific to B. japonicum .
While B. japonicum is a beneficial symbiont, the PQQ biosynthetic pathway that includes pqqD is present in several opportunistic pathogenic bacteria. This creates an interesting paradox where understanding pqqD could lead to both agricultural benefits and novel antimicrobial strategies.
Analysis of PQQ biosynthesis across bacterial species has revealed that several human pathogens contain the complete set of PQQ biosynthetic genes:
| Pathogenic Species | Pathogenicity | PQQ Genes Present |
|---|---|---|
| Acinetobacter baumannii ATCC 19606 | Opportunistic human pathogen | pqqABCDE |
| Acinetobacter haemolyticus ATCC 19194 | Rare human pathogen | pqqBCDE |
| Azoarcus sp. (strain BH72) | Plant symbiont | pqqABCDEF |
Since PQQ biosynthesis appears to confer growth advantages to these bacteria and the pathway is specific to prokaryotes, inhibitors targeting pqqD or other components of the pathway could be incorporated into antibiotic cocktails. This approach might be particularly valuable for immune-suppressed patients vulnerable to opportunistic infections. Structural knowledge of pqqD from B. japonicum and other species could inform the rational design of such inhibitors .
For researchers seeking to predict pqqD-substrate interactions across bacterial species, including B. japonicum, several computational approaches have proven valuable:
Homology Modeling: Using existing structural data (such as the solution NMR structure of M. extorquens PqqD) as templates to predict the structures of pqqD from other species.
Multiple Sequence Alignment and Phylogenetic Analysis: To identify conserved residues likely involved in substrate binding and to track the evolution of functional diversification.
Protein-Peptide Docking: To predict binding modes between pqqD and the PqqA precursor peptide, informing experimental design for validation studies.
Molecular Dynamics Simulations: To understand the dynamic behavior of pqqD and its complexes, potentially revealing transient binding sites or conformational changes important for function.
Machine Learning Approaches: Using existing interaction data to train models that can predict binding affinities or interaction partners for pqqD variants.
These computational methods have been successfully applied to similar systems in the bioinformatics analyses of PQQ biosynthesis genes and could be specifically tailored to study B. japonicum pqqD. Programs like FlowerPower for phylogenomic clustering, MAFFT for multiple sequence alignment, and RAxML for phylogenetic tree construction have been effectively used in this context .