This protein is a component of the high-affinity ATP-driven potassium transport (Kdp) system. It catalyzes ATP hydrolysis, coupled with the electrogenic transport of potassium ions into the cytoplasm. Specifically, this KdpC subunit functions as a catalytic chaperone, enhancing the ATP-binding affinity of the ATP-hydrolyzing subunit, KdpB, through the formation of a transient KdpB/KdpC/ATP ternary complex.
KEGG: sgl:SG0327
STRING: 343509.SG0327
Sodalis glossinidius Potassium-transporting ATPase C chain (kdpC) is a membrane protein encoded by the kdpC gene (SG0327) in Sodalis glossinidius, a secondary facultative symbiont found in tsetse flies (Glossina species). The protein functions as part of the potassium-transporting ATPase complex with the enzyme classification EC 3.6.3.12, also known as ATP phosphohydrolase [potassium-transporting] C chain. This complex plays a crucial role in potassium ion homeostasis within the bacterial cell. The full-length protein consists of 192 amino acids with the sequence: MMKLLRPALSVFFLLVLVTAVAYPLVVTGLAQWWFPGAAQGSLVTQDGQPCGSVLIGQTFTRAGYFQGRPSATADTPYNAPASSGSNLAVSNPALDDAVKQRVTALLQANPHADAPVPVELVTASASGLDPHISPAAALWQIPRVAEARHLPQAELRRLVDDNTTRPLLYFIGEPVVNVLKLNMALDARQKG .
Sodalis glossinidius has undergone extensive reductive evolution during its transition to a symbiotic lifestyle within the tsetse fly. The maintenance of the kdpC gene suggests its importance for bacterial survival in this niche. While direct evidence linking kdpC to symbiosis is limited, potassium homeostasis is likely critical for S. glossinidius to survive in the ion-regulated environment of the tsetse. The protein may help the bacterium adapt to fluctuating potassium levels following blood meals consumed by the host. Furthermore, S. glossinidius presence correlates positively with the ability of tsetse flies to be infected by Trypanosoma brucei, the causative agent of human African trypanosomiasis . This suggests that proteins involved in basic physiological functions, such as kdpC, could indirectly impact this tripartite relationship by ensuring symbiont survival and fitness within the host.
S. glossinidius is characterized by genomic reduction, with more than 1,500 pseudogenes and evidence of ongoing gene loss as it adapts to its symbiotic lifestyle . The retention of functional kdpC in this organism while other genes have been lost indicates strong selective pressure to maintain potassium transport functionality. A methodological approach to investigate this would include:
Comparative genomic analysis of kdpC across multiple Sodalis species, including the free-living relative Sodalis praecaptivus
Analysis of selection signatures on kdpC sequences
Identification of conserved amino acid residues essential for function
Comparison of the kdp operon structure between symbiotic and free-living Sodalis species
This evolutionary conservation suggests that potassium regulation remains critical for S. glossinidius despite its streamlined symbiotic lifestyle, unlike other metabolic functions that have been lost during adaptation to the host environment.
The recombinant Sodalis glossinidius Potassium-transporting ATPase C chain requires careful storage to maintain structural integrity and functional activity. Based on established protocols, the optimal storage conditions are:
| Storage Requirement | Recommended Condition | Notes |
|---|---|---|
| Short-term storage | 4°C | Suitable for up to one week |
| Medium-term storage | -20°C | In Tris-based buffer with 50% glycerol |
| Long-term storage | -80°C | For extended preservation |
| Thawing procedure | Gradual thawing at 4°C | Avoid repeated freeze-thaw cycles |
The protein should be stored in a Tris-based buffer containing 50% glycerol that has been optimized for this specific protein . It is strongly recommended to create small working aliquots to avoid repeated freezing and thawing, as this can significantly decrease protein stability and activity. For experiments requiring multiple uses, create single-use aliquots rather than subjecting the entire stock to temperature fluctuations.
Expression of recombinant Sodalis glossinidius kdpC presents several challenges due to its membrane-associated nature. A methodological approach would include:
Vector selection: Choose expression vectors with tunable promoters to control expression levels, as overexpression of membrane proteins can be toxic to host cells.
Host strain optimization: While E. coli is commonly used, the genetic manipulation of Sodalis species using bacteriophage P1-mediated transduction has been demonstrated , potentially allowing for homologous expression.
Expression conditions: Consider the following parameters:
Induction temperature: Lower temperatures (16-25°C) often improve membrane protein folding
Induction time: Extended expression periods at lower inducer concentrations
Media composition: Use media containing additional potassium to stabilize the protein
Solubilization strategy: For functional studies, gentle detergents like n-dodecyl-β-D-maltoside (DDM) or digitonin should be evaluated for optimal extraction while maintaining native conformation.
Purification approach: Affinity chromatography using carefully positioned tags that do not interfere with protein function, followed by size exclusion chromatography to ensure homogeneity.
When expressing in S. glossinidius itself, researchers should consider using the defined medium SGM11, which has been developed specifically for this organism and provides better growth conditions than complex media alone .
Analyzing the functional activity of Potassium-transporting ATPase C chain requires techniques that can measure both binding and transport activities:
ATPase activity assays:
Colorimetric phosphate release assays (Malachite green method)
Coupled enzyme assays with pyruvate kinase and lactate dehydrogenase
Radioactive ATP hydrolysis measurements
Potassium transport measurement:
Fluorescent potassium indicators (PBFI, Asante Potassium Green)
Rubidium-86 uptake as a potassium analog
Patch-clamp electrophysiology in reconstituted systems
Binding studies:
Isothermal titration calorimetry (ITC) to determine binding affinity
Surface plasmon resonance (SPR) for real-time binding kinetics
Microscale thermophoresis (MST) for determining binding constants
Structural assessment:
Circular dichroism (CD) spectroscopy to confirm proper folding
Limited proteolysis to assess conformational states
Hydrogen-deuterium exchange mass spectrometry to map ligand-binding sites
Each approach should be optimized specifically for kdpC, taking into account its membrane protein nature and the requirement for appropriate detergent environments or membrane reconstitution systems.
The presence of Sodalis glossinidius correlates positively with the ability of tsetse flies to be infected by Trypanosoma brucei . Investigating the potential role of kdpC in this relationship requires a multifaceted approach:
Genetic manipulation strategies:
Infection experiments:
Compare trypanosome establishment rates in tsetse flies with wild-type versus modified S. glossinidius
Analyze spatial distribution of bacteria in relation to trypanosomes
Perform time-course studies to determine critical periods where kdpC function might influence infection
Mechanistic investigations:
Examine potassium levels in different tsetse tissues during trypanosome infection
Analyze expression changes in kdpC during different stages of trypanosome establishment
Investigate potential direct interactions between bacterial and parasite proteins
Systems biology approach:
Metabolomic comparison of infection microenvironments with different kdpC variants
Transcriptomic analysis to identify coordinated responses
Network modeling to predict potential interaction pathways
This comprehensive research strategy would help determine whether kdpC plays a direct role in facilitating trypanosome establishment or if its contribution is limited to maintaining symbiont fitness within the host.
Potassium is the most abundant intracellular cation and affects numerous cellular processes. Research methodologies to investigate the broader impact of kdpC-maintained potassium gradients include:
Membrane potential studies:
Fluorescent voltage-sensitive dye measurements
Patch-clamp electrophysiology
Computational modeling of ion movements across membranes
Gene expression analysis:
RNA-seq to identify genes co-regulated with kdpC
ChIP-seq to identify transcription factors responding to potassium levels
Ribosome profiling to assess translational responses
Stress response characterization:
Osmotic challenge experiments with kdpC variants
pH perturbation tolerance in relation to potassium transport
Oxidative stress response linked to potassium homeostasis
Cellular ultrastructure analysis:
Electron microscopy to assess membrane integrity under potassium limitation
Subcellular localization of kdpC under different physiological conditions
Morphological changes associated with potassium transport dysfunction
This systematic approach would reveal how the seemingly specialized function of potassium transport cascades into multiple aspects of bacterial physiology, potentially explaining why this function has been preserved during reductive evolution.
Bacteriophage P1 has been demonstrated to infect, lysogenize, and promote transduction in Sodalis species, including S. glossinidius . Optimizing this system for kdpC manipulation requires:
Host strain preparation:
Phage propagation optimization:
Determine optimal multiplicity of infection (MOI)
Establish lysate preparation protocols specific for S. glossinidius
Develop enrichment methods for transducing particles
Target gene engineering:
Design kdpC modifications with appropriate selectable markers
Create homology regions optimized for S. glossinidius recombination machinery
Develop screening strategies to identify successful transductants
Verification methods:
PCR-based confirmation of genetic modifications
Functional assays to confirm phenotypic changes
Whole-genome sequencing to rule out off-target effects
The relatively slow growth of S. glossinidius compared to E. coli necessitates protocol modifications, including extended incubation times and careful optimization of selection conditions to avoid false positives.
While P1 transduction provides a valuable tool for genetic manipulation of S. glossinidius, a comprehensive approach would incorporate multiple complementary techniques:
CRISPR-Cas9 genome editing:
Design guide RNAs specific to kdpC targets
Develop delivery systems compatible with S. glossinidius
Optimize homology-directed repair for precise modifications
Conditional expression systems:
Implement tetracycline-inducible promoters
Develop riboswitches responsive to small molecules
Create temperature-sensitive variants for temporal control
Reporter gene fusions:
Transcriptional fusions to monitor kdpC expression
Translational fusions to track protein localization
Split reporter systems to analyze protein-protein interactions
Heterologous expression systems:
Express S. glossinidius kdpC in model organisms
Create chimeric proteins to isolate functional domains
Develop surrogate hosts for high-throughput screening
RNA-based approaches:
Antisense RNA for targeted knockdown
CRISPR interference for transcriptional repression
RNA thermometers for conditional expression
This multi-faceted genetic toolbox would enable researchers to address different aspects of kdpC function with appropriate methodologies tailored to specific experimental questions.
Developing screens for compounds that affect kdpC function could lead to tools for manipulating symbiont-host interactions and potentially impact trypanosome infection. A methodological approach would include:
Reporter system development:
Growth-based selection in potassium-limited media
Fluorescent reporters linked to potassium-responsive promoters
FRET-based sensors to detect conformational changes
Assay miniaturization:
Microplate-based activity assays
Droplet microfluidics for single-cell analysis
Biosensor integration for real-time monitoring
Compound library selection:
Natural product extracts from relevant ecological sources
Focused libraries targeting ATPases or transport proteins
Fragment-based approaches for novel scaffold identification
Validation cascade:
Primary screens with high sensitivity
Secondary assays with increased specificity
Tertiary confirmation in physiologically relevant contexts
Data analysis pipeline:
Machine learning algorithms to identify activity patterns
Structure-activity relationship development
Network pharmacology to predict off-target effects
This screening platform would enable the identification of chemical probes for kdpC research and potentially lead to compounds that could modulate the tripartite relationship between tsetse flies, S. glossinidius, and trypanosomes.
Understanding the unique structural attributes of S. glossinidius kdpC requires comparative analysis with homologs from both free-living and symbiotic bacteria:
Sequence-based analysis:
Multiple sequence alignment with homologs from diverse bacterial species
Identification of conserved and divergent regions
Evolutionary rate analysis to detect adaptively evolving sites
Structural prediction methods:
Homology modeling based on available crystal structures
Ab initio modeling of unique regions
Molecular dynamics simulations to assess conformational flexibility
Transmembrane topology analysis:
Hydropathy profiling and transmembrane segment prediction
Accessibility mapping using substituted cysteine accessibility method
Topology validation using reporter fusion approaches
Functional domain identification:
Identification of potassium binding sites
Analysis of subunit interaction interfaces
Characterization of regulatory domains
The amino acid sequence (MMKLLRPALSVFFLLVLVTAVAYPLVVTGLAQWWFPGAAQGSLVTQDGQPCGSVLIGQTFTRAGYFQGRPSATADTPYNAPASSGSNLAVSNPALDDAVKQRVTALLQANPHADAPVPVELVTASASGLDPHISPAAALWQIPRVAEARHLPQAELRRLVDDNTTRPLLYFIGEPVVNVLKLNMALDARQKG) provides the foundation for these analyses, with particular attention to regions that may reflect adaptation to the symbiotic lifestyle.
Elucidating the structure-function relationship of kdpC requires integrating multiple experimental techniques:
Site-directed mutagenesis studies:
Alanine-scanning mutagenesis of conserved residues
Charge-reversal mutations at potential ion-coordinating sites
Introduction of reporter groups at functional interfaces
Biophysical characterization:
X-ray crystallography or cryo-electron microscopy for structural determination
Small-angle X-ray scattering (SAXS) for solution-state conformation
Nuclear magnetic resonance (NMR) for dynamic regions
Functional mapping:
Accessibility mapping using membrane-impermeable reagents
Cross-linking studies to identify interacting partners
Electrophysiological measurements of ion transport
Computational integration:
Molecular dynamics simulations to model ion transport
Quantum mechanics/molecular mechanics approaches for catalytic sites
Elastic network models to identify allosteric communication
In vivo validation:
Complementation studies with mutant variants
Growth phenotypes under varying potassium conditions
Competition assays to assess fitness effects
This comprehensive approach would connect structural features to functional roles and potentially reveal adaptations specific to the symbiotic lifestyle of S. glossinidius.
The kdpC protein functions as part of the larger KDP potassium transport complex. Investigating its interactions in the context of symbiosis requires:
Comparative genomic analysis:
Examine conservation of kdpA, kdpB, and kdpD genes in S. glossinidius
Compare operon organization with free-living relatives like S. praecaptivus
Analyze regulatory elements controlling expression
Protein-protein interaction studies:
Co-immunoprecipitation to identify interaction partners
Bacterial two-hybrid assays to map interaction domains
Blue native PAGE to preserve native complex architecture
Complex assembly analysis:
Pulse-chase experiments to track assembly kinetics
Subcellular fractionation to identify intermediate complexes
Single-molecule approaches to observe assembly in real-time
Regulatory network mapping:
Determine if regulation has been simplified in the symbiont
Compare response to potassium limitation with free-living bacteria
Identify unique regulatory inputs related to the symbiotic lifestyle