The Recombinant Shigella dysenteriae serotype 1 Magnesium transport protein CorA is a genetically engineered version of the CorA protein found in Shigella dysenteriae serotype 1. This protein plays a crucial role in magnesium transport across bacterial cell membranes. Magnesium is essential for numerous cellular processes, including enzyme function, DNA replication, and cell wall synthesis. The CorA protein is part of a larger family of magnesium transporters found in bacteria and archaea, known for its ability to mediate both influx and efflux of magnesium ions .
The CorA protein is an integral membrane protein with three transmembrane segments. It lacks conserved charged residues within these segments, suggesting that electrostatic interactions are not critical for magnesium transport . The protein's structure includes a large periplasmic domain and a cytoplasmic C-terminus, indicating it functions as an oligomer . Key residues in the second and third transmembrane segments are crucial for magnesium transport, with specific sequences like YGMNF being highly conserved across CorA homologues .
The Recombinant Shigella dysenteriae serotype 1 Magnesium transport protein CorA is expressed in Escherichia coli, often with an N-terminal His tag for purification purposes. This recombinant protein consists of 316 amino acids and is available for research applications .
Research on CorA proteins, including those from Shigella dysenteriae, has highlighted their importance in bacterial physiology and pathogenesis. For instance, CorA in Salmonella typhimurium is crucial for virulence and survival under different growth conditions . The expression of CorA in other organisms, like Mycobacterium smegmatis, has been shown to enhance antibiotic tolerance and biofilm formation .
| Bacterium | CorA Function | Expression Conditions |
|---|---|---|
| Salmonella typhimurium | Mediates Mg2+ influx and efflux; crucial for virulence | Expressed under various conditions |
| Escherichia coli | Similar to Salmonella; requires CorBCD for efflux | Expressed under normal conditions |
| Mycobacterium smegmatis | Enhances antibiotic tolerance and biofilm formation | Expressed in host cells |
This protein mediates the influx of magnesium ions and can also mediate cobalt and manganese uptake. It alternates between open and closed conformational states. Activation occurs at low cytoplasmic Mg2+ levels, while high cytoplasmic Mg2+ levels render it inactive.
KEGG: sdy:SDY_3929
The CorA protein in Shigella dysenteriae is a member of the ubiquitous CorA family of transport proteins responsible for maintaining magnesium homeostasis in bacterial cells. Similar to its homologs in other bacterial species, S. dysenteriae CorA plays a crucial role in magnesium uptake and regulation of cellular magnesium concentration. Magnesium is the most abundant divalent cation in living cells and is essential for various biochemical and physiological reactions, including protein synthesis, cell membrane integrity, and nucleic acid synthesis . The CorA protein helps bacterial cells achieve optimal intracellular magnesium concentration, which is particularly important in the context of host-pathogen interactions, where magnesium availability may be limited within host macrophages during infection .
The CorA transport system exhibits dynamic conformational changes between symmetric closed states and asymmetric open states that facilitate magnesium import. These conformational transitions are influenced by intracellular magnesium levels - when Mg²⁺ levels are low, the closed state becomes less common, reducing the energy barrier to open states and increasing the dynamics of CorA, which facilitates the open state and magnesium import .
Studying recombinant S. dysenteriae CorA typically employs a comprehensive experimental workflow that combines molecular cloning, protein expression, and functional characterization techniques:
Molecular Cloning and Recombinant Expression:
PCR amplification of the corA gene from S. dysenteriae genomic DNA using gene-specific primers
Restriction enzyme digestion of PCR products for cloning into appropriate expression vectors
Transformation of expression vectors into suitable host cells (e.g., E. coli or native bacterial species)
Optimization of protein expression conditions using inducible promoters
Based on established protocols for CorA proteins, the gene can be cloned into vectors such as pBAD18-Cam using restriction enzymes like NheI and HindIII, or into vectors like pMIND using BamHI and PstI . Expression can be optimized using inducers such as arabinose at 0.1% (w/v) concentration for pBAD-based vectors or tetracycline for pMIND-based vectors .
Functional Characterization Methods:
Antibiotic susceptibility testing to assess the impact of CorA expression on drug resistance
Intracellular dye accumulation assays to measure efflux activity
Biofilm formation assays to evaluate the influence of CorA on biofilm development
Growth curve analysis under varying magnesium concentrations
Site-directed mutagenesis to study structure-function relationships
These methods provide complementary data that collectively reveal the various functions of the CorA protein in bacterial physiology and antimicrobial resistance.
The CorA protein exhibits a highly conserved architecture across bacterial species, with a pentameric structure that forms a selective ion channel in the bacterial membrane. While specific structural details for S. dysenteriae CorA have not been fully elucidated, homology-based modeling reveals several key features that are likely conserved:
Structural Components:
Cytoplasmic N-terminal domain containing metal-sensing regions
Transmembrane domain comprising two transmembrane helices
A periplasmic loop that contributes to ion selectivity
A hydrophobic gate that regulates ion conductance
The protein functions as a homopentamer with five-fold symmetry around a central pore that serves as the transport pathway for magnesium ions. Critical functional elements include:
Magnesium-binding sites within the cytoplasmic domain that serve as sensors for intracellular magnesium concentration
Conserved hydroxyl-bearing residues (similar to S260 and T270 in Salmonella, or S299 and T309 in M. smegmatis) that are crucial for transport activity
Inter-subunit interfaces that may serve as binding sites for antibiotics and other compounds
Transmembrane pores that facilitate ion passage across the membrane
The protein alternates between symmetric closed conformations and multiple asymmetric open conformations, enabling the transport of magnesium ions across the bacterial membrane .
Recent research reveals that CorA contributes to antimicrobial resistance through multiple mechanisms, extending beyond its primary function in magnesium transport:
Efflux Pump Activity:
Studies with CorA in Mycobacterium smegmatis have demonstrated that expression of corA increases the tolerance of host cells toward various structurally unrelated antibiotics, including fluoroquinolones (norfloxacin, ofloxacin, sparfloxacin, ciprofloxacin), aminoglycosides (amikacin, gentamicin, apramycin), and anti-tubercular drugs (isoniazid, rifampicin) . This broad substrate specificity suggests that CorA may function as a multidrug efflux system.
Evidence supporting this role includes:
Significantly lower accumulation of antibiotics (norfloxacin, ofloxacin) in cells expressing corA, indicating enhanced efflux pump activity
40-50% reduction in intracellular antibiotic concentration within 8-10 minutes in cells harboring CorA compared to deletion mutants
Inhibition of this effect by CCCP (Carbonyl cyanide 3-chlorophenylhydrazone), a classic efflux pump inhibitor that disrupts membrane potential
Magnesium-Facilitated Resistance:
The presence of sub-inhibitory concentrations of Mg²⁺ further enhances antibiotic tolerance in CorA-expressing cells by 4-16 fold, suggesting that magnesium acts as a facilitator in the efflux process . This indicates a potential dual function where CorA may operate as an antiporter, importing magnesium while exporting antibiotics.
Impact on Biofilm Formation:
CorA expression enhances biofilm formation by 2-4 fold in bacterial cells, with CorA-expressing cells showing approximately 26% higher viability compared to CorA-deleted cells . This enhanced biofilm-forming ability contributes to antimicrobial resistance by creating physical barriers against antibiotic penetration and altering bacterial metabolism to promote survival under antibiotic stress.
Site-directed mutagenesis studies of CorA provide critical insights into the molecular basis of its transport mechanisms and multifunctional capabilities:
Impact of Conserved Hydroxyl Residue Mutations:
Substitution mutations of conserved hydroxyl-bearing residues (S299A and T309A in M. smegmatis CorA, comparable to S260 and T270 in Salmonella CorA) result in complete loss of antimicrobial efflux activity . These mutations:
Nullify resistance to fluoroquinolones, aminoglycosides, and anti-tubercular drugs
Eliminate the enhanced resistance typically observed in the presence of magnesium
Abolish the reduced accumulation of antibiotics normally seen in CorA-expressing cells
Proposed Mechanistic Effects:
The molecular basis for these effects may involve:
Increased affinity for metal ions, where cations bind too tightly for effective transport
Disruption of conformational transitions between symmetric and asymmetric states
Altered binding at inter-subunit interfaces that normally accommodate antibiotics
Compromise of the selective transport pathway through the transmembrane domain
These findings suggest that the same structural elements and conformational dynamics that govern magnesium transport also facilitate antibiotic efflux, supporting a model where CorA functions as a multifunctional transport protein with interconnected activities .
Based on homology modeling, molecular docking analyses, and functional studies, a dual-role model for CorA has been proposed:
Proposed Antibiotic Transport Mechanism:
CorA might function as an antiporter that imports Mg²⁺ while exporting antibiotics. In this model:
In its closed symmetric conformation, antibiotics bind to sites at the inter-subunit interfaces of the cytoplasmic domain (likely at locations designated as C5 or C4)
When the protein transitions to different asymmetric conformations (normally driven by low intracellular magnesium levels), these conformational changes facilitate the export of bound antibiotics
The same conformational transitions that govern magnesium import also drive antibiotic export, explaining why mutations that affect magnesium transport also eliminate antibiotic efflux activity
This model is supported by molecular docking analyses showing that binding sites for antibiotics like isoniazid are predominantly located at the inter-subunit interfaces of the cytoplasmic domain, suggesting that antibiotics likely move through these interfaces before entering the transmembrane pores .
Magnesium as a Facilitator:
The observation that sub-inhibitory concentrations of magnesium enhance antibiotic resistance suggests that magnesium may play a direct role in the efflux process, possibly by:
Inducing conformational changes that facilitate antibiotic binding or export
Serving as a counter-ion for antibiotic efflux
Modulating the electrostatic properties of the transport channel
The inhibitory effect of CCCP on both processes further supports the connection between energy-dependent magnesium transport and antibiotic efflux mechanisms .
Differentiating between CorA's dual functions requires sophisticated experimental approaches that can isolate specific aspects of its activity:
Differential Inhibition Studies:
Using selective inhibitors that target either magnesium transport or drug efflux
Employing varying concentrations of external magnesium to modulate transport direction
Applying membrane potential modulators to distinguish energy-dependent versus independent processes
Genetic Approaches:
Creating point mutations that specifically affect one function while preserving the other
Developing chimeric proteins with domains from different CorA homologs to map functional regions
Employing CRISPR-Cas9 genome editing to introduce subtle modifications to the endogenous corA gene
Advanced Biophysical Methods:
Using fluorescently labeled substrates with real-time microscopy to track transport dynamics
Employing patch-clamp electrophysiology to measure ion conductance under varying conditions
Applying structural biology techniques (X-ray crystallography, cryo-EM) to capture different conformational states
Computational Approaches:
Molecular dynamics simulations to model the transport of different substrates
Binding affinity calculations for various antibiotics at potential binding sites
In silico mutagenesis to predict the impact of specific amino acid changes
By combining these approaches, researchers can develop a comprehensive understanding of how CorA balances its dual roles and potentially identify ways to selectively target one function without affecting the other.
The emerging understanding of CorA's role in both magnesium homeostasis and antimicrobial resistance presents novel opportunities for therapeutic intervention:
Potential Targeting Strategies:
Direct Inhibition of Transport Activity:
Targeting the Antibiotic Binding Sites:
Exploiting the Magnesium-Dependent Enhancement:
Designing magnesium chelators that selectively reduce availability for CorA-mediated processes
Creating compounds that interfere with the magnesium-facilitated efflux mechanism
Anti-Biofilm Approaches:
Targeting CorA's role in biofilm formation to enhance antibiotic effectiveness
Developing combination therapies that simultaneously inhibit CorA and disrupt biofilms
Advantages of CorA as a Drug Target:
CorA is ubiquitous across bacterial species but structurally distinct from human magnesium transporters
Its dual role in magnesium transport and drug efflux makes it a high-value target for overcoming resistance
Inhibiting CorA may sensitize bacteria to existing antibiotics, potentially revitalizing current treatment options
Experimental Validation of Inhibitors:
Potential inhibitors could be evaluated using:
Successful expression and purification of functional CorA protein requires careful consideration of several technical factors:
Expression Systems:
Prokaryotic Systems:
Expression Optimization:
Purification Strategies:
Membrane Protein Extraction:
Gentle cell lysis using enzymatic methods or mild detergents
Membrane fractionation by ultracentrifugation
Solubilization using detergents such as n-dodecyl-β-D-maltoside (DDM) or lauryl maltose neopentyl glycol (LMNG)
Chromatography Approaches:
Immobilized metal affinity chromatography (IMAC) using His-tagged constructs
Size exclusion chromatography to isolate the pentameric assembly
Ion exchange chromatography for further purification
Quality Assessment:
SDS-PAGE and Western blotting to confirm protein identity and purity
Circular dichroism spectroscopy to verify secondary structure
Dynamic light scattering to assess homogeneity
Functional assays using magnesium-sensitive fluorescent indicators to confirm transport activity
The choice between these systems depends on the specific research goals, with E. coli systems favored for structural studies and homologous expression preferred for functional characterization in a native-like environment.
Evaluating CorA's contribution to antibiotic resistance requires robust methodologies that can distinguish its effects from other resistance mechanisms:
Quantitative Susceptibility Testing:
Broth Microdilution Method:
Determining minimum inhibitory concentrations (MICs) for various antibiotics
Comparing wild-type, CorA-deleted, and CorA-complemented strains
Including controls with and without magnesium supplementation (typically 100 ppm)
| Antibiotic | Wild-type | ΔmsCorA | ΔmsCorA::CorA | Wild-type + Mg²⁺ | ΔmsCorA + Mg²⁺ | ΔmsCorA::CorA + Mg²⁺ |
|---|---|---|---|---|---|---|
| Norfloxacin | 16 μg/mL | 4 μg/mL | 16 μg/mL | 64 μg/mL | 8 μg/mL | 64 μg/mL |
| Rifampicin | 32 μg/mL | 4 μg/mL | 32 μg/mL | 128 μg/mL | 8 μg/mL | 128 μg/mL |
| Isoniazid | 8 μg/mL | 2 μg/mL | 8 μg/mL | 32 μg/mL | 4 μg/mL | 32 μg/mL |
(Table values are representative based on reported fold-changes in the literature)
Efflux Inhibitor Studies:
Including proton gradient uncouplers like CCCP (typically at 10-20 μM)
Measuring changes in MIC values with and without inhibitors
Comparing the inhibitor effect across different genetic backgrounds
Intracellular Accumulation Assays:
Fluorescent Dye Accumulation:
Antibiotic Accumulation:
Real-time Efflux Measurements:
Loading cells with dyes or antibiotics, then measuring efflux kinetics
Calculating efflux rates under various conditions
Determining the effect of energy inhibitors on efflux activity
These methodologies provide complementary data that collectively establish the role of CorA in antibiotic resistance, with the intracellular accumulation assays providing particularly strong evidence for efflux pump activity.
Differentiating direct efflux activity from indirect effects requires carefully designed experimental approaches:
Control Experiments:
Genetic Controls:
Physiological Controls:
Measuring membrane potential to rule out general membrane disruption
Assessing growth rates to control for growth phase-dependent effects
Monitoring intracellular pH to account for potential proton gradient alterations
Mechanistic Approaches:
Transport Specificity Analysis:
Testing structurally diverse antibiotics to establish substrate range
Conducting competition assays between magnesium and antibiotics
Performing isothermal titration calorimetry to detect direct binding
Proteoliposome Reconstitution:
Incorporating purified CorA into artificial membrane vesicles
Measuring direct transport of labeled substrates in a defined system
Evaluating the effect of membrane potential and ion gradients in isolation
Protein Interaction Studies:
Conducting pull-down assays to identify potential interacting partners
Using bacterial two-hybrid systems to screen for protein-protein interactions
Performing co-immunoprecipitation to detect associations with known efflux components
By systematically addressing these aspects, researchers can build a convincing case for direct versus indirect mechanisms, providing a stronger foundation for therapeutic targeting strategies.
Resolving the structural basis of CorA's dual transport functions requires integrating cutting-edge technologies:
Advanced Structural Biology Approaches:
Cryo-Electron Microscopy (Cryo-EM):
Capturing CorA in different conformational states with and without bound antibiotics
Using particle classification to identify heterogeneous conformations
Achieving high-resolution structures (better than 3.5 Å) to visualize ligand interactions
X-ray Crystallography with New Strategies:
Co-crystallization with antibiotics and transport inhibitors
Using lipidic cubic phase crystallization for membrane protein structures
Employing nanobodies or crystallization chaperones to stabilize specific conformations
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Mapping conformational changes upon binding of magnesium versus antibiotics
Identifying regions with altered solvent accessibility during transport
Detecting allosteric networks connecting binding and transport events
Integrated Computational Approaches:
Molecular Dynamics Simulations:
Simulating complete transport cycles for magnesium and antibiotics
Modeling the effect of mutations on transport pathways
Calculating energy barriers for different conformational transitions
Quantum Mechanics/Molecular Mechanics (QM/MM):
Modeling electronic interactions at binding sites with high precision
Calculating transition states for ion and antibiotic transport
Evaluating the energetics of competing transport processes
Machine Learning Applications:
Predicting antibiotic binding modes from structural data
Identifying novel binding sites based on surface properties
Developing models to predict substrate specificity across CorA homologs
These approaches, when combined, could yield a comprehensive model of how CorA balances its roles in magnesium transport and antibiotic efflux, potentially revealing new opportunities for selective targeting.
Understanding the contextual regulation of CorA during infection could reveal new therapeutic opportunities:
Host-Pathogen Interface Factors:
Magnesium Limitation:
Investigating how macrophage-imposed magnesium restriction affects CorA expression
Determining whether magnesium limitation enhances CorA's role in antibiotic resistance
Exploring potential compensatory mechanisms when magnesium is scarce
pH Adaptation:
Examining CorA function across the pH range encountered during infection (pH 4.5-7.4)
Determining whether acidification alters substrate specificity or transport kinetics
Investigating pH-dependent changes in CorA expression or localization
Oxidative Stress:
Assessing how reactive oxygen species affect CorA structure and function
Determining whether oxidative modifications alter transport properties
Exploring potential protective roles of CorA during oxidative stress
Systems Biology Approaches:
Transcriptomic Analysis:
Profiling corA expression patterns during different stages of infection
Identifying co-regulated genes that may function with CorA
Mapping the regulatory networks controlling corA expression
Metabolomic Studies:
Measuring changes in magnesium-dependent metabolic pathways during infection
Identifying metabolic signatures associated with CorA-mediated resistance
Exploring connections between magnesium homeostasis and central metabolism
In vivo Infection Models:
Using fluorescent reporters to track CorA expression during infection
Comparing virulence of wild-type versus CorA mutants in animal models
Evaluating antibiotic efficacy against CorA mutants during active infection
These investigations could reveal how S. dysenteriae adapts CorA function to the changing host environment, potentially identifying intervention points that are specifically relevant during infection.
Understanding the similarities and differences among CorA proteins across bacterial species provides insights into functional conservation and specialization:
Sequence and Structural Comparisons:
The CorA protein family shows considerable sequence conservation across diverse bacterial species, with particularly high conservation in the transmembrane domains and the GMN motif (a signature sequence in CorA proteins). Comparative analysis reveals:
Conserved Functional Elements:
Variable Regions:
The cytoplasmic domains showing greater sequence divergence
Species-specific insertions or deletions that may influence substrate specificity
Surface-exposed loops that interact with the specific membrane environment
Functional Divergence:
Different bacterial species show variations in CorA-associated phenotypes that may reflect adaptation to specific ecological niches:
Antibiotic Resistance Profiles:
Variations in the range of antibiotics affected by CorA expression
Differences in the magnitude of resistance conferred
Species-specific interactions with other resistance mechanisms
Biofilm Contributions:
Evolutionary Implications:
The dual role of CorA in magnesium transport and antibiotic resistance suggests evolutionary pathways that may have selected for multifunctional transport proteins:
Ancestral Function:
Primary selection for efficient magnesium acquisition
Conservation of core transport mechanism across diverse species
Functional Expansion:
Secondary adaptation for antibiotic efflux as a protective mechanism
Potential co-evolution with intrinsic antibiotic resistance mechanisms
Specialized Adaptations:
Species-specific refinements for particular host environments
Optimizations for pathogen-specific challenges (e.g., macrophage survival)
These comparative insights highlight both the fundamental conservation of CorA function and the specialized adaptations that may make S. dysenteriae CorA a unique target for species-specific therapeutic approaches.
Developing and testing CorA inhibitors requires robust experimental paradigms that can identify truly effective compounds:
Primary Screening Approaches:
High-Throughput Growth Inhibition:
Measuring synergistic effects of candidate inhibitors with various antibiotics
Using checkerboard assays to determine fractional inhibitory concentration indices
Including CorA deletion mutants as controls to confirm target specificity
Experimental Design:
| Condition | No Inhibitor | Inhibitor Conc. 1 | Inhibitor Conc. 2 | Inhibitor Conc. 3 |
|---|---|---|---|---|
| No Antibiotic | Growth control | Toxicity control | Toxicity control | Toxicity control |
| Antibiotic Conc. 1 | Resistance baseline | Synergy test | Synergy test | Synergy test |
| Antibiotic Conc. 2 | Resistance baseline | Synergy test | Synergy test | Synergy test |
| Antibiotic Conc. 3 | Resistance baseline | Synergy test | Synergy test | Synergy test |
Functional Transport Assays:
Measuring inhibition of magnesium uptake using fluorescent indicators
Assessing effects on antibiotic accumulation using the methods described in section 3.2
Determining IC50 values for both magnesium transport and antibiotic efflux
Secondary Validation Studies:
Binding Confirmation:
Surface plasmon resonance (SPR) to measure direct binding kinetics
Thermal shift assays to detect stabilization upon inhibitor binding
Competitive binding assays with known substrates
Structural Validation:
X-ray crystallography or cryo-EM of CorA-inhibitor complexes
HDX-MS to map inhibitor-induced conformational changes
NMR studies to identify binding interfaces in solution
Specificity Assessment:
Testing effects on human magnesium transporters to evaluate selectivity
Profiling activity against CorA homologs from different bacterial species
Assessing off-target effects using proteomic approaches
In Vivo Validation:
Infection Model Testing:
Evaluating antibiotic efficacy in the presence of CorA inhibitors
Measuring bacterial burden in animal models
Assessing impact on emergence of resistance during treatment
Pharmacokinetic/Pharmacodynamic Studies:
Determining inhibitor distribution in relevant tissues
Measuring duration of synergistic effects in vivo
Optimizing dosing regimens for maximal efficacy
These experimental approaches provide a comprehensive evaluation pipeline for developing CorA inhibitors as potential adjuvants to enhance antibiotic efficacy against S. dysenteriae and other pathogens.