LolD is a component of the LolCDE ABC transporter complex. This complex facilitates the translocation of mature outer membrane-directed lipoproteins from the inner membrane to the periplasmic chaperone, LolA. LolD is essential for the ATP-dependent formation of the LolA-lipoprotein complex.
KEGG: dvu:DVU2374
STRING: 882.DVU2374
LolD is an essential component of the Lol system, which is responsible for the localization of lipoproteins from the inner membrane to the outer membrane in gram-negative bacteria. In Desulfovibrio vulgaris, LolD functions as the ATP-binding protein of the ABC transporter complex involved in lipoprotein release. It provides the energy through ATP hydrolysis that allows LolF (another component of the system) to extract lipoproteins from the membrane for localization to the outer membrane .
Structurally, LolD belongs to the ABC family of ATP-binding proteins. Comparative analysis with E. coli LolD shows structural similarity with an RMSD value of 2.1 Å between aligned pairs of backbone C-alpha atoms, which is comparable to the similarity between E. coli LolD and other ABC family ATP-binding proteins like LptB (2.4 Å) and MalK (2.2 Å) .
Proper storage and handling are critical for maintaining the structural integrity and functional activity of recombinant LolD. According to established protocols:
The shelf life of liquid form is generally 6 months at -20°C/-80°C
The shelf life of lyophilized form is 12 months at -20°C/-80°C
Repeated freezing and thawing is not recommended
Working aliquots can be stored at 4°C for up to one week
For reconstitution, briefly centrifuge the vial prior to opening
Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Addition of 5-50% glycerol (final concentration) is recommended for long-term storage
Aliquoting the reconstituted protein is advisable to avoid repeated freeze-thaw cycles
Affinity purification-mass spectrometry (AP-MS) has proven to be a highly effective approach for identifying interaction partners of LolD and other Lol system components. The methodology involves:
Creating a tagged version of the protein (e.g., DDK-tagged LolF was used to identify LolD in H. pylori)
Verifying expression of the tagged protein through immunoblot analysis
Immunoprecipitating the tagged protein using an appropriate antibody
Analyzing samples by mass spectrometry to identify co-purified proteins
Using appropriate controls (e.g., unrelated inner membrane proteins tagged similarly)
Including ATP in the buffer to enhance interactions between LolF and ABC family ATP-binding proteins
Testing various detergents, with ionic or zwitterionic detergents typically disrupting these interactions
Using statistical analysis tools like SAINTexpress to compute the probability that a prey protein is a true interaction partner
Optimizing expression conditions for recombinant LolD requires a systematic approach using design-of-experiments (DoE) methodology. This approach is more efficient than the traditional univariant method where variables are changed one at a time.
Recommended DoE approach:
Identify key variables: Temperature, IPTG concentration, medium composition, induction time, initial OD, and pH are typically important
Design factorial experiments: Use a fractional factorial design (e.g., 2^8-4 for 8 variables) with replicas at central points to reduce the number of experiments while maintaining statistical validity
Define response variables: Typically protein yield, solubility, and functional activity
Execute experiments and analyze data: Use statistical software to identify significant factors and their interactions
Optimize significant factors: Once identified, conduct further experiments to fine-tune these variables
Recent studies using this approach have achieved high levels (250 mg/L) of soluble expression of recombinant proteins in E. coli with 75% homogeneity while maintaining functional activity .
Comparing LolD across different bacterial species reveals important evolutionary adaptations. In H. pylori, for instance, a LolD-like protein (HP0179) was identified through affinity purification-mass spectrometry using LolF as bait.
Comparative analysis:
| Species | LolD Protein | Sequence identity to E. coli LolD | Key features |
|---|---|---|---|
| E. coli | LolD | Reference | Well-characterized prototype |
| D. vulgaris | LolD (Q729H7) | <40% | Contains characteristic ABC ATP-binding domains |
| H. pylori | HP0179 | <40% | Annotated as "putative ABC transport system ATP-binding protein" |
While sequence identity between these proteins is relatively low (<40%), structural comparisons show significant similarities in their three-dimensional conformations. The RMSD between D. vulgaris LolD and E. coli LolD is comparable to that between E. coli LolD and other ABC family ATP-binding proteins, suggesting functional conservation despite sequence divergence .
Assessing proper folding and functionality of recombinant LolD involves multiple complementary approaches:
ATP binding and hydrolysis assays: As an ABC-type ATPase, functional LolD should bind and hydrolyze ATP. Measure ATPase activity using:
Malachite green phosphate assay
Coupled enzyme assays (e.g., pyruvate kinase/lactate dehydrogenase)
Radioactive [γ-32P]ATP hydrolysis assays
Protein-protein interaction studies: Functional LolD should interact with other components of the Lol system. Use:
Pull-down assays with tagged LolF
Surface plasmon resonance (SPR)
Isothermal titration calorimetry (ITC)
Circular dichroism (CD) spectroscopy: Compare the CD spectrum with properly folded reference proteins to assess secondary structure elements
Thermal shift assays: Properly folded proteins typically show cooperative unfolding with higher melting temperatures
Functional complementation: Test if the recombinant protein can rescue growth in conditional LolD mutants
Design of Experiments methodology provides a systematic framework for optimizing purification protocols with fewer experiments while gaining more information about parameter interactions:
Define response variables: Typically purity (%), yield (mg/L), and specific activity (units/mg)
Identify critical parameters: For immobilized metal affinity chromatography (IMAC):
Imidazole concentration in equilibration buffer
Imidazole concentration in wash buffer
pH
Flow rate
Sample loading volume
Column dimensions
Design an experimental matrix: Use factorial design software to create an orthogonal experimental plan
Statistical analysis: Analyze results to:
Identify statistically significant parameters
Quantify interactions between parameters
Create response surface models
Predict optimal conditions
Validation: Confirm predicted optimal conditions experimentally
This approach has demonstrated superior results compared to traditional one-factor-at-a-time optimization for bioprocess development, reducing development time while increasing process understanding .
The LolD/LolF complex functions as an ATP-dependent lipoprotein extraction machinery. Current mechanistic models suggest:
ATP binding to LolD induces conformational changes that are transmitted to the transmembrane domains of LolF
These conformational changes alter the arrangement of LolF's transmembrane helices, decreasing their affinity for lipoprotein acyl chains
Lipoproteins are released from the inner membrane and transferred to a carrier protein (LolA in E. coli)
ATP hydrolysis resets the system for another cycle
Site-directed mutagenesis studies of LolD's Walker A and Walker B motifs, which are essential for ATP binding and hydrolysis, respectively, have shown that mutations in these regions abolish lipoprotein release activity. In H. pylori, conditional hp0179 mutants demonstrated that both HP0179 (the LolD homolog) and amino acids predicted to be required for ATP binding and ATP hydrolysis are essential for bacterial growth .
LolD represents a promising target for novel antimicrobial strategies based on several key considerations:
Essentiality: Studies with conditional hp0179 mutants in H. pylori demonstrated that LolD-like proteins are essential for bacterial growth. Transposon mutagenesis studies suggest similar essentiality in other species .
Conservation vs. divergence: While LolD is conserved across gram-negative bacteria, there are significant sequence differences between bacterial and human ABC transporters, potentially allowing selective targeting.
Systems approach: Targeting the Lol system could disrupt proper lipoprotein localization, affecting numerous cellular functions simultaneously.
Clinical relevance: Desulfovibrio species have been implicated in several human diseases, including ulcerative colitis, type 2 diabetes, inflammatory bowel diseases, liver abscesses, and appendicitis. More recently, D. desulfuricans has been connected to atherosclerosis by increasing intestinal permeability and downregulating tight junction proteins .
Potential therapeutic strategies include:
Small molecule inhibitors of LolD ATPase activity
Peptides disrupting LolD-LolF interactions
Compounds preventing lipoprotein recognition
Integrating genome-scale approaches with targeted biochemical studies provides a comprehensive understanding of LolD's role in Desulfovibrio metabolism:
Transcriptomic analysis: RNA-seq data can reveal co-expression patterns between lolD and other genes, particularly under different growth conditions. In D. vulgaris Hildenborough, microarray studies have provided insights into gene expression changes under different electron donors and acceptors .
Transposon mutagenesis libraries: The absence of transposon insertions in particular genes can indicate essentiality. The Wall lab has created 8,869 D. vulgaris mutants with identified insertion sites, covering 62% of predicted genes. Analysis of these libraries can reveal connections between LolD and other cellular pathways .
Interactome studies: Affinity purification-mass spectrometry approaches have successfully identified protein-protein interactions in the Lol system. Expanding these studies to capture broader interaction networks can place LolD in a systems context .
Metabolic modeling: Genome-scale metabolic models can predict the systemic effects of LolD dysfunction on cellular metabolism.
Conditional expression systems: For essential genes like lolD, regulated expression systems allow titrated depletion to study physiological responses before lethality.
Integration of these approaches has revealed unexpected relationships between lipoprotein transport and energy metabolism in Desulfovibrio species, highlighting the interconnected nature of bacterial cellular processes .