MsrA is a single-subunit protein with a molecular weight of approximately 23–25.4 kDa . Recombinant MsrA produced in E. coli contains 212 amino acids and is non-glycosylated . Key structural features include:
Active Site: Contains the consensus sequence GCFWG, critical for catalytic activity .
Cysteine Residues: Four cysteines in E. coli MsrA enable redox cycling, though Mycobacterium tuberculosis MsrA retains activity with only two cysteines .
Property | E. coli MsrA | M. tuberculosis MsrA |
---|---|---|
Molecular Weight | ~25.4 kDa | ~23 kDa |
Cysteine Residues | 4 | 2 |
Specific Activity (N-Ac-Met(O)) | 32 nmol/mg/min | Comparable to E. coli |
MsrA catalyzes the stereospecific reduction of methionine sulfoxide (MetSO) to methionine (Met) using thioredoxin as a reducing cofactor . It acts on both free MetSO and MetSO embedded in peptides or proteins .
Activity: Reduces MetSO in proteins like bovine serum albumin (BSA) and N-Ac-Met(O) .
Substrate Preference: Targets the S-oxide form (Met(S)O) over the R-oxide form (Met(R)O) .
The msrA gene is regulated at the transcriptional level, with expression influenced by growth phase and environmental stressors:
Growth-Phase Dependency: MsrA synthesis increases 3–4 fold during nutrient depletion (e.g., glucose or nitrogen limitation) .
Promoter Elements:
MsrA protects E. coli from oxidative damage by repairing proteins inactivated by reactive oxygen species (ROS). Mutant studies reveal:
Oxidative Sensitivity: msrA-deficient strains show increased sensitivity to hydrogen peroxide (H₂O₂) and other oxidants .
SRP Protection: Collaborates with MsrB to repair methionine sulfoxide in the signal recognition particle (SRP), ensuring proper protein secretion .
Strain | MsrA Activity | H₂O₂ Sensitivity |
---|---|---|
Wild-type E. coli | Present | Normal |
ΔmsrA mutant | Absent | Hypersensitive |
ΔmsrA + pMsrA | Restored | Resistant |
Production: Overexpressed in E. coli as a His-tagged protein (25.4 kDa) and purified via nickel affinity chromatography .
Use Cases:
Conservation: msrA is part of the minimal gene set required for life, reflecting its essential role in protein repair .
Phylogeny: Homologs exist in all domains of life, with E. coli MsrA sharing 40% identity with M. tuberculosis MsrA .
While not directly linked to antibiotic resistance, MsrA’s role in protein repair may indirectly influence pathogenicity:
MRSA and E. coli represent fundamentally different bacterial types that require distinct research considerations. MRSA is a gram-positive bacterium (Staphylococcus aureus) that has developed resistance to methicillin and other β-lactam antibiotics. E. coli is a gram-negative bacterium with a different cell wall structure featuring an outer membrane containing lipopolysaccharides. These structural differences significantly impact antimicrobial susceptibility patterns, with E. coli's outer membrane providing an additional barrier against many antibiotics. The cell wall composition differences also influence laboratory techniques, from staining protocols to lysis procedures for DNA extraction. In research settings, these differences necessitate tailored approaches to culture conditions, antimicrobial susceptibility testing, and molecular analyses .
Research demonstrates significant differences in biofilm formation between these pathogens. MRSA biofilms typically show continuous exponential growth over time while E. coli biofilms demonstrate a different pattern with growth that plateaus after approximately 24 hours. In quantitative assessment of biofilm development on glass beads over 72 hours, MRSA biofilms showed continuous increases in density throughout the observation period, whereas E. coli biofilm growth increased up to 24 hours and then maintained relatively constant density . These distinctions are critical for experimental design when evaluating anti-biofilm agents, as the timing of intervention may need to be optimized differently for each organism. Researchers must account for these growth patterns when designing experiments to evaluate anti-biofilm strategies or when studying mixed-species biofilms .
In MRSA, the primary resistance mechanism involves altered penicillin-binding proteins (specifically PBP2a encoded by the mecA gene) that reduce affinity for β-lactam antibiotics. For E. coli, extended-spectrum β-lactamases (ESBLs) represent a major resistance mechanism against cephalosporins and other β-lactam antibiotics . Fluoroquinolone resistance in E. coli commonly develops through mutations in the quinolone resistance-determining regions (QRDR) of DNA gyrase (gyrA) and topoisomerase IV (parC) genes . Research has found that 71 E. coli isolates harboring both gyrA (S83L/D87N) and parC mutations demonstrated clinical ciprofloxacin resistance, with 94% of these isolates displaying multidrug resistance genotypes . The mechanisms of resistance acquisition differ between the organisms, with MRSA typically acquiring resistance through horizontal gene transfer of mobile genetic elements, while E. coli can acquire resistance through both plasmid transfer and chromosomal mutations .
Standard methodology for MIC determination involves broth microdilution assays using Mueller-Hinton broth in 96-well plates with serial dilutions of the antimicrobial agent. For accurate results, researchers should prepare a bacterial suspension equivalent to 0.5 McFarland standard and add 10 μL to each well containing the antimicrobial agent dilution. After 24-hour incubation at 37°C with shaking (100 rpm), MIC is determined by visible inspection for growth inhibition . For MBC determination, 20 μL from wells showing no visible growth should be spread onto fresh nutrient agar media and incubated at 37°C for approximately 18 hours. Colony counts compared to control plates determine the minimum concentration that achieves bactericidal effect . When testing novel compounds such as antimicrobial peptides, the concentration range should be sufficiently broad (e.g., 2000 μg/mL to 7.8 μg/mL) to capture the effective range, as different compounds may show significantly different potency against gram-positive versus gram-negative bacteria .
Modern characterization of antimicrobial resistance genes relies heavily on whole genome sequencing combined with bioinformatic analysis. For E. coli, research approaches typically involve de novo genome assembly followed by identification of resistance genes using databases such as ResFinder or CARD . Plasmid identification is particularly important, as many resistance determinants are plasmid-mediated. Researchers should identify plasmid incompatibility types (Inc-types) and examine co-location of resistance genes on contigs to understand potential for horizontal gene transfer . For MRSA, in addition to identifying resistance genes, researchers should assess mutations in target genes (e.g., gyrA and parC for fluoroquinolone resistance) and regulatory elements affecting resistance expression . Multi-locus sequence typing (MLST) should be performed to understand the genetic lineage of isolates, which can provide context for resistance patterns. For example, research has identified that E. coli ST131 isolates may carry different resistance patterns that correlate with specific fimH alleles .
A well-established methodology for biofilm research involves using glass beads as substrate surfaces. The protocol begins with thorough cleaning of borosilicate glass beads (3-4 mm diameter) using soap solution, followed by sterile water rinsing, soaking in 80% ethanol for 24 hours, and final sterile water washing . For biofilm formation, inoculate 20 μL of 0.5 McFarland bacterial suspension into 200 μL nutrient broth in 96-well plates with one bead per well. Incubate at 37°C with shaking (100 rpm) for 72 hours, refreshing media every 24 hours . To evaluate biofilm formation, transfer beads to Eppendorf tubes with 200 μL nutrient broth, vortex for 1 minute to detach bacteria, and perform serial dilutions for viable counting. Scanning electron microscopy (SEM) provides visual confirmation of biofilm architecture and density . This methodology allows quantitative assessment of biofilm development over time and evaluation of anti-biofilm interventions under controlled conditions.
Anti-biofilm testing requires recognition of the different susceptibility profiles between MRSA and E. coli biofilms. Research demonstrates that MRSA biofilms may be inhibited at lower concentrations of antimicrobial agents compared to E. coli biofilms. For example, with antimicrobial peptides, concentrations of 1000-2000 μg/mL were effective against MRSA biofilms, while only the highest concentration (2000 μg/mL) could inhibit E. coli biofilms . This differential susceptibility necessitates wider concentration ranges when testing novel compounds. Methodologically, researchers should include appropriate controls for media, treatment, and bacterial growth to ensure reliable results . Visual inspection of color change in media provides preliminary indication of efficacy, but should be confirmed with quantitative colony counting. SEM imaging of treated versus untreated biofilms provides valuable qualitative assessment of structural disruption, revealing differences in how antimicrobial agents penetrate and disrupt the distinct biofilm architectures of gram-positive versus gram-negative bacteria .
Antimicrobial peptides represent a promising alternative to conventional antibiotics, particularly for resistant pathogens like MRSA and E. coli. Current research focuses on computational design approaches that involve screening AMP databases, followed by molecular docking, dynamics simulations, and experimental validation . Recent studies have successfully identified synthetic AMPs with dual activity against both MRSA and E. coli, though often with differential efficacy. For example, one computationally designed AMP demonstrated complete inhibition of both planktonic MRSA and E. coli at concentrations of 1000-2000 μg/mL, with greater efficacy against MRSA at lower concentrations . The mechanism of action appears to involve membrane disruption, with differential activity potentially related to the distinct cell wall structures of gram-positive versus gram-negative bacteria . A critical aspect of AMP research is safety profiling, which includes cytotoxicity testing against human cells, genotoxicity assessment, and hemolysis assays to ensure the peptides selectively target bacterial rather than host cells .
Comparative antimicrobial studies require careful experimental design that accounts for the biological differences between gram-positive MRSA and gram-negative E. coli. Researchers should implement parallel testing protocols that include both planktonic and biofilm growth modes for both organisms. For planktonic testing, standard MIC/MBC determinations should be performed with identical concentration ranges, media compositions, and incubation conditions to allow direct comparison . For biofilm testing, the timeline should extend to at least 72 hours to capture the different growth dynamics, with MRSA biofilms showing continuous growth while E. coli biofilms plateau after 24 hours . Efficacy should be assessed through multiple complementary methods including viable counting, metabolic activity assays, and microscopic visualization techniques such as SEM . Safety assessment protocols should include cytotoxicity testing against relevant human cell lines (e.g., fibroblasts), genotoxicity evaluation, and hemolysis assays to establish therapeutic index. Analysis should focus not only on absolute efficacy but also on the ratio of efficacy between organisms, which may provide insights into mechanism of action .
Epidemiological tracking of MRSA and E. coli requires sophisticated molecular typing methods combined with traditional surveillance. For MRSA, spa typing, SCCmec typing, and whole genome sequencing are commonly employed to identify clonal complexes and transmission patterns . For E. coli, multi-locus sequence typing (MLST) combined with fimH allele typing provides valuable lineage information, with particular attention to high-risk clones such as ST131 . Research has demonstrated that certain E. coli lineages are associated with specific resistance patterns; for example, 47 of 79 isolates (60%) from six sequence types showed multidrug resistance genotypes that included resistance to highly prioritized critically important antibiotics . Antimicrobial resistance profiles serve as important epidemiological markers, with particular emphasis on resistance to third-generation cephalosporins and fluoroquinolones in E. coli, and methicillin resistance in S. aureus . Plasmid profiling is especially important for E. coli, as certain plasmid types (e.g., IncQ1, IncF, and IncI) have been found across isolates with different sequence types and from different farms, indicating horizontal gene transfer .
Investigation of horizontal gene transfer (HGT) requires specialized methodological approaches. Researchers should employ both short-read and long-read sequencing technologies (e.g., PacBio or Oxford Nanopore) to fully resolve plasmid structures, as short-read sequencing alone often cannot fully assemble plasmids . Plasmid typing using incompatibility (Inc) groups provides valuable information on transfer potential, with certain Inc types associated with higher transfer frequencies. Research has identified 90 different combinations of Inc types and antimicrobial resistance genes in E. coli isolates, with some plasmid sequences found across different sequence types and geographical locations . A common IncQ1 plasmid harboring strAB and sul2 resistance genes was identified in 48 E. coli isolates but showed only ~50% identity to reference sequences, highlighting the diversity and evolution of resistance plasmids . For experimental investigation of HGT, conjugation assays using filter mating or broth mating followed by selection on appropriate antibiotics can demonstrate transfer potential. Whole genome sequencing of transconjugants confirms transfer of specific elements. Metagenomic approaches can be used for environmental samples to assess resistance gene pools and potential for transfer in mixed bacterial communities .
Current research points to several promising approaches beyond traditional antibiotics. Antimicrobial peptides (AMPs) represent one of the most actively investigated alternatives, with computational design approaches accelerating discovery . These peptides often demonstrate dual activity against both gram-positive and gram-negative bacteria through membrane-disrupting mechanisms that are less susceptible to traditional resistance mechanisms . Combination therapies that pair conventional antibiotics with resistance-modifying agents show promise for restoring efficacy against resistant strains. Anti-virulence approaches that target bacterial pathogenicity rather than growth directly may provide alternative treatment strategies that exert less selective pressure for resistance development. Phage therapy has reemerged as a potential approach, particularly for highly resistant infections, with engineered bacteriophages showing enhanced specificity and reduced likelihood of resistance development. Immunomodulatory approaches that enhance host defense mechanisms rather than directly targeting bacteria represent another promising direction. For all these approaches, researchers must prioritize comparative testing against both MRSA and E. coli to identify broadly effective interventions, while being attentive to the different biological characteristics that may influence efficacy .
Methionine Sulfoxide Reductase A (MsrA) is an enzyme that plays a crucial role in the repair of oxidatively damaged proteins. It specifically reduces methionine sulfoxide (MetO) back to methionine, thereby protecting cells from oxidative stress. This enzyme is highly conserved across different species, including bacteria, plants, and animals. In Escherichia coli (E. coli), MsrA is essential for maintaining cellular function under oxidative stress conditions.
MsrA produced in E. coli is a single, non-glycosylated polypeptide chain containing 232 amino acids and has a molecular mass of approximately 25.4 kDa . The enzyme is fused to a 20 amino acid His-tag at the N-terminus, which facilitates its purification using chromatographic techniques . MsrA specifically reduces the S-form of methionine sulfoxide (Met-S-SO) to methionine, while another enzyme, MsrB, reduces the R-form (Met-R-SO) .
The MsrA enzyme is vital for the survival of E. coli under oxidative stress conditions. Reactive oxygen species (ROS) and hydrogen peroxide can oxidize methionine residues in proteins, leading to the formation of MetO. This modification can alter protein function and lead to the accumulation of damaged proteins. MsrA helps to reverse this damage by reducing MetO back to methionine, thereby restoring the normal function of proteins .
Recombinant MsrA is produced in E. coli using genetic engineering techniques. The gene encoding MsrA is cloned into an expression vector, which is then introduced into E. coli cells. The bacteria are cultured under conditions that induce the expression of the MsrA protein. The recombinant protein is then purified using affinity chromatography, taking advantage of the His-tag fused to the N-terminus of the protein .
Recombinant MsrA has several applications in research and biotechnology. It is used to study the mechanisms of oxidative stress and protein repair in cells. Additionally, MsrA can be used in the development of therapeutic strategies to combat oxidative stress-related diseases. The enzyme’s ability to repair oxidatively damaged proteins makes it a valuable tool for understanding cellular responses to oxidative stress and developing interventions to mitigate its effects .