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Article

Unveiling the Antibacterial Potential of Melaleuca cajuputi Essential Oils Against MRSA: Integrating In Vitro Efficacy and In Silico Mechanistic Insights

by
Noor Zarina Abd Wahab
1,*,
Kamal Saifullah Kamal Rul Azrul
1,
Nur Ain Najwa Mohd Yuseri
1,
Ahmad Khalis Yahya
1,
Fong Si Wei
2,
Sayed Mohd Saufi Fahmi Sayed Abdul Kadir
3 and
Mohd Hanif Abdullah
3
1
Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus 21300, Malaysia
2
Premier Integrated Labs, Level 2, Block A, Hospital Pantai Kuala Lumpur, Kuala Lumpur 59100, Malaysia
3
Dtree Pharma Sdn Bhd, Lot 1, IKS Factory, Hulu Terengganu 21800, Malaysia
*
Author to whom correspondence should be addressed.
Bacteria 2026, 5(1), 13; https://doi.org/10.3390/bacteria5010013
Submission received: 10 October 2025 / Revised: 21 November 2025 / Accepted: 26 February 2026 / Published: 2 March 2026

Abstract

The increasing prevalence of antimicrobial resistance, especially in methicillin-resistant Staphylococcus aureus (MRSA), underscores the need for alternative therapies from natural sources. This study investigated the chemical composition, antibacterial activity, and gene expression modulation of Melaleuca cajuputi essential oils. Gas chromatography–mass spectrometry (GC-MS) identified 91 compounds, with naphthalene (23.90%), guaiol (12.92%), caryophyllene oxide (9.69%), D-limonene 98% (8.59%), and gamma terpinene (7.54%) among the most abundant. In Silico molecular docking against MRSA virulence proteins revealed that alloaromadendrene had the strongest binding to toxic shock syndrome toxin-1 (TSST-1) (−7.948 kcal/mol), suggesting high inhibitory potential, while cyclohexane showed weak binding with staphylococcal enterotoxin A (SEA) (−3.532 kcal/mol). Antibacterial assays demonstrated concentration-dependent inhibition, with the zones ranging from 6.33 ± 0.33 mm to 16.67 ± 0.88 mm. MIC and MBC values ranged from 1.56 to 12.5% and 3.13 to 25%, respectively, with most isolates showing bactericidal effects (MBC/MIC ≤ 2). Gene expression analysis of MRSA isolate 4 indicated that sea was moderately upregulated (FC = 1.44), while sec remained unchanged (FC = 1.02). In contrast, fnbA (FC = 0.72), seb (FC = 0.33), and mecA (FC = 0.23) genes were downregulated, and the tsst-1 gene (FC = 0.05) was nearly silent. These findings highlight M. cajuputi essential oils as a promising candidate with both antibacterial efficacy and regulatory effects on MRSA virulence genes.

1. Introduction

Antibiotics are potent agents used against microbial infections, but their inappropriate or excessive use can cause adverse effects and accelerate the emergence of resistant strains. Antibiotic resistance is now a major global health threat, contributing to treatment failures, prolonged illnesses, increased healthcare costs, and higher mortality rates [1]. Resistance arises when bacteria develop strategies to withstand antibiotic action, including structural modification of target sites, enzymatic degradation or inactivation of drugs, active efflux pumps, and alterations of outer membrane components or receptors that reduce antibiotic uptake [2]. Furthermore, resistance genes can spread rapidly within microbial communities through horizontal gene transfer, amplifying the challenge of effective treatment. These limitations underscore the urgent need to explore alternative therapeutic strategies, including plant-derived natural products, bioactive phytochemicals, and microbial enzymes such as tannase, which have shown promising antimicrobial and synergistic properties against resistant pathogens [3,4].
Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most clinically important antibiotic-resistant pathogens and is responsible for a wide range of infections, from skin and soft tissue infections to life-threatening conditions such as pneumonia, sepsis, and endocarditis. It is a major cause of hospital-acquired infections worldwide, posing a significant challenge to public health because of limited treatment options, high morbidity, and increased mortality rates [5]. The resistance mechanism in S. aureus is primarily attributed to the acquisition of the mecA gene located on the staphylococcal cassette chromosome mec (SCCmec). This gene encodes penicillin-binding protein 2a (PBP2a), an altered enzyme with a markedly reduced affinity for β-lactam antibiotics, thereby rendering methicillin, oxacillin, and related antibiotics ineffective. In addition to chromosomal acquisition, resistance traits can spread between S. aureus strains through horizontal gene transfer mediated by mobile genetic elements such as bacteriophages and plasmids, which facilitates the rapid dissemination of resistance [6].
Clinically, MRSA infections are classified into two categories. Hospital-associated MRSA (HA-MRSA) typically occurs in immunocompromised or hospitalized patients, especially those exposed to invasive procedures, medical devices, or prolonged antibiotic therapy, and these strains are often resistant to multiple classes of antibiotics [7]. In contrast, community-associated MRSA (CA-MRSA) arises in healthy individuals without recent healthcare exposure, most frequently presenting as skin and soft tissue infections, although it can also lead to severe invasive diseases. CA-MRSA strains are commonly associated with virulence factors such as Panton–Valentine leukocidin (PVL), which enhances their pathogenicity, and they generally remain susceptible to a broader range of non-β-lactam antibiotics compared to HA-MRSA [8]. The distinct molecular characteristics, virulence factors, and antibiotic susceptibility patterns of HA-MRSA and CA-MRSA strongly influence clinical outcomes and treatment strategies. Effective management of MRSA therefore requires continuous epidemiological surveillance, strict infection control measures, and prudent antibiotic stewardship to minimize resistance development and improve patient outcomes [9].
For centuries, essential oils have been used in different cultures around the world, such as in Chinese, Egyptians and Greek cultures. However, in the modern world, essential oils are still used as a different approach or alternative in the community and present in cosmetics, aromatherapy, perfumes and complementary medicines. Essential oils have a wide range of medicinal applications, including antimicrobial, anti-inflammatory, antioxidant, anticancer and many others [10,11,12,13,14]. Essential oils contain natural compounds that have the ability to inhibit the growth of pathogens. Some of the major compounds are alcohols, terpene (monoterpenes and sesquiterpenes), esters, acids, aromatic hydrocarbons, terpenoids, aldehydes and ketones, and may act together to contribute to their antibacterial activity [15,16,17].
Melaleuca cajuputi (family Myrtaceae) is distributed across Borneo, Cambodia, Java, Peninsular Malaysia, Sumatra, Thailand, and Vietnam. According to the Malaysia Biodiversity Information System (MyBIS), its common names include English (cajeput, paper bark tree, swamp tea tree) and Malay (gelam, kayu putih). This species typically forms colonies and is predominantly found in lowland ecosystems, shallow peat forests, and swampy wetlands [18,19]. Members of the genus Melaleuca exhibit notable ecophysiological adaptability, enabling them to tolerate acidic freshwater conditions, nutrient-poor soils, seasonal flooding, and climate variability [20]. Beyond their ecological role in stabilizing soils, regulating hydrological balance, and supporting wetland biodiversity, M. cajuputi is also valued for its bioactive secondary metabolites, particularly essential oils rich in terpenoids, which are traditionally used in folk medicine, aromatherapy, and as antimicrobial, anti-inflammatory, and antioxidant agents [21,22].
The biological activity of M. cajuputi has been investigated by many researchers, including its antimicrobial and antifilarial effects, among others [23,24,25,26]. Although other subspecies of M. cajuputi have been investigated, no dedicated study has yet explored the antimicrobial potential of M. cajuputi EO against MRSA. The extensive and inappropriate use of antibiotics, which has led to the emergence of antimicrobial resistance, has prompted researchers to search for new bioactive compounds from plants. Medicinal plants contain abundant bioactive compounds that can be used alone or in combination with antibiotics to enhance their antimicrobial efficacy in antimicrobial activity [27]. MRSA remains a significant concern in the region, with persistently high levels in several countries. MRSA is also listed in the high-priority category in the Bacterial Priority Pathogens Lists (BPPL) [28]. According to the National Surveillance of Antimicrobial Resistance (NSAR) report 2023, in Malaysia, from the total S. aureus (34,677) isolated from all clinical samples in 2023, 1893 (5.5%) isolates were confirmed to be MRSA [29]. MRSA poses a significant challenge as it continues to develop resistance to vancomycin, which is considered the last-resort antibiotic. Although cases of vancomycin-resistant MRSA have not yet been documented in Malaysia, a case of vancomycin-resistant S. aureus has been reported in Indonesia [30].
Developing an ideal antibacterial agent for MRSA poses a significant challenge due to limitations of current treatments, including resistance, adverse side effects, suboptimal efficacy against biofilms, and poor tissue penetration. Combination therapies also face multiple challenges, even though they are promising for severe infections. Some of the challenges are resistance, drug interactions, and limited clinical evidence to support the effectiveness of combination therapies [31]. HA-MRSA and CA-MRSA exhibit different antibiotic susceptibility patterns, along with distinct clinical characteristics and molecular profiles, which influence treatment strategies. The majority of MRSA bacteraemia cases are acquired in hospitals (52.7%) or other healthcare facilities (35.6%), a trend that has also been observed across other Southeast Asian countries [9].
Therefore, this study will be conducted to determine the antibacterial effect of M. cajuputi essential oils against MRSA. The objectives are to characterize the phytochemical composition of the essential oil, evaluate its antibacterial activity against MRSA using In Vitro assays, assess its effect on the expression of selected MRSA virulence and resistance genes, and explore its potential mechanism of action through molecular docking with MRSA target proteins. The overall aim of this study is to provide scientific evidence supporting the antibacterial potential of M. cajuputi essential oils as a natural therapeutic alternative or complementary approach for the management of MRSA infections.

2. Materials and Methods

2.1. Plant Collection

The leaves of M. cajuputi were collected from Gong Badak, Kuala Nerus, Terengganu, Malaysia, and subsequently deposited at the Herbarium, Faculty of Bioresources and Food Industry (FBIM), Universiti Sultan Zainal Abidin (UniSZA) for species identification and confirmation (Voucher No. UniSZA/A/000000045).

2.2. Essential Oils Extraction

Briefly, fresh leaves of M. cajuputi were subjected to steam distillation for 6 h per cycle. In this process, water vapor at atmospheric pressure and 100 °C was used to release the oil from the leaves, thereby isolating the essential oil from the crude plant material. The resulting oil–hydrosol emulsion was left to stand for 12 h to allow complete separation of the oil and hydrosol layers. The essential oil was then carefully collected and stored in dark glass vials at room temperature until further use [25]. Subsequently, the oil samples were analyzed by GC–MS.

2.3. GC-MS

Phytochemical characterization of M. cajuputi essential oils was carried out using an Agilent 7890A gas chromatograph (GC) (Agilent Technologies, Santa Clara, CA, USA) coupled to an Agilent 5975C inert mass spectrometer (MS) (Agilent Technologies) equipped with a triple-axis detector and fitted with a DB-5MS UI capillary column (Agilent Technologies) (30 m × 0.25 mm i.d., 0.25 µm film thickness, 5% phenyl methylpolysiloxane stationary phase). The oven temperature was initially set at 50 °C and increased at a rate of 6 °C/min to 280 °C, where it was held for 10 min. The injector temperature was maintained at 250 °C, with helium as the carrier gas at a constant flow rate of 1 mL/min. Sample injection was performed in splitless mode. The MS was operated with an electron multiplier voltage of 1094 eV, while the ion source and interface temperatures were set at 250 °C and 200 °C, respectively. Mass spectra were acquired over the m/z range of 45–600, with a solvent delay of 1.372 min, starting from 6 min to 50.333 min. Compound identification was conducted using MSD ChemStation software (Agilent Technologies, Santa Clara) and peaks were matched against the NIST/EPA/NIH mass spectral library (version 2.0). Identified constituents were subsequently compiled into a peak table [32,33].

2.4. In Silico Molecular Docking Analysis

Molecular docking was carried out to evaluate the interactions of M. cajuputi essential oils phytochemicals with MRSA virulence and resistance proteins, including staphylococcal enterotoxin A (SEA), staphylococcal enterotoxin B (SEB), staphylococcal enterotoxin C (SEC), toxic shock syndrome toxin-1 (TSST-1), fibronectin-binding protein A (FnBPA), and penicillin-binding protein 2a (PBP2a). Twenty major phytoconstituents identified through GC-MS profiling were selected as ligands. Their 3D structures were retrieved from PubChem, energy-minimized, and converted into PDBQT format using AutoDock MGLTools (The Scripps Research Institute, La Jolla, CA, USA). Protein crystal structures were obtained from the RCSB Protein Data Bank. Receptor preparation involved removing water molecules and heteroatoms, repairing incomplete residues, and adding polar hydrogens and Kollman charges. Docking simulations were performed using AutoDock 4.2.6 under blind docking conditions with the Lamarckian Genetic Algorithm (100 runs, population size 150, 2.5 × 106 energy evaluations, 27,000 generations, mutation rate 0.02, crossover rate 0.8). Binding poses were clustered at 2.0 Å RMSD, and the best conformations were selected based on the lowest binding energies and largest clusters. Ligand–protein interactions were further analyzed in both 2D and 3D representations using Discovery Studio Visualizer (BIOVIA, Vélizy-Villacoublay, France) [14,34].

2.5. Tested Bacteria

Eight clinical isolates of methicillin-resistant Staphylococcus aureus (MRSA) obtained from Premier Integrated Labs Sdn Bhd were used as test organisms. Additionally, S. aureus ATCC 25923, used as a reference strain, was sourced from the Microbiology Laboratory culture stock at the Faculty of Medicine, Universiti Sultan Zainal Abidin.

2.6. Antibacterial Assay

2.6.1. Disc Diffusion Method

Antimicrobial activity of M. cajuputi essential oils was determined using the disc diffusion method. Bacterial inocula were prepared in Mueller–Hinton broth (MHB) and standardized to 0.5 McFarland turbidity. The suspensions were streaked uniformly onto Mueller–Hinton agar (MHA) plates using sterile cotton swabs. Sterile 6 mm discs were impregnated with 10 µL of essential oil at concentrations of 100%, 50%, 25%, 12.5%, 6.25%, and 3.13%, and positioned on the agar surface. Two controls were used. Vancomycin (30 µg/mL) was used as the positive control, while 10% DMSO in MHB was used as the negative control. Plates were incubated aerobically at 37 °C for 24 h. All assays were carried out in triplicate, and inhibition zone diameters were measured and recorded [35].

2.6.2. Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC)

The MIC of the M. cajuputi essential oils was determined using a 96-well microdilution assay. Two-fold serial dilutions of the preparation were prepared to achieve final concentrations ranging from 100% to 3.13%. An equal volume of bacterial suspension was added to each well, and the plate was incubated aerobically at 37 °C for 24 h. Following incubation, 50 µL of MTT solution was added to each well, and the plate was further incubated for 2 h. Experiments were performed in triplicate. A yellow coloration indicated the absence of bacterial growth, while a purple coloration reflected active growth of the test organism. To determine the minimum bactericidal concentration (MBC), suspensions from MIC wells showing no visible growth were sub-cultured. Briefly, 50 µL of suspension from each selected well was mixed with 150 µL of fresh broth and incubated at 37 °C for 48 h. Subsequently, 100 µL aliquots were spread onto nutrient agar (NA) plates and incubated at 37 °C for 24 h. The absence of bacterial colonies on NA plates was interpreted as the MBC endpoint [23].

2.7. Quantitative Real Time-Polymerase Chain Reaction (qRT-PCR)

qRT-PCR was performed to assess the transcriptional response of MRSA virulence and antibiotic resistance genes to M. cajuputi essential oils. MRSA 4 was sub-cultured on nutrient agar and incubated at 37 °C for 24 h. Bacterial suspensions were prepared in Mueller–Hinton broth and adjusted to a 0.5 McFarland standard. Two experimental groups were established: (i) treated (T) with essential oils at a sub-minimum inhibitory concentration (sub-MIC) and (ii) untreated control (C). For the treated group, 100 µL of bacterial suspension was incubated overnight at 37 °C, followed by the addition of 100 µL EO (3.13% v/v) and further incubation under the same conditions. For the control group, 120 µL of bacterial suspension was incubated without essential oils. After overnight incubation, both cultures were diluted 1:50 in MHB and grown for an additional 4 h. Cultures were then centrifuged at 16,000× g for 3 min, and the supernatant was discarded [36]. Bacterial RNA was extracted using an RNA extraction kit (1st BASE, Singapore) and subjected to qRT-PCR using the Toyobo kit (Toyobo Co., Ltd., Osaka, Japan). The specific primers for qRT-PCR are listed in Table 1. Quantitative PCR (qPCR) was performed on a StepOnePlus™ Real-Time PCR System (Applied Biosystems, Carlsbad, CA, USA). The reaction began with a reverse transcription step at 61 °C for 20 min to synthesize complementary DNA (cDNA) from the RNA template, followed by polymerase enzyme activation at 95 °C for 10 min. The cycling stage consisted of 45 cycles of denaturation at 95 °C for 15 s, annealing for 15 s at temperatures optimized according to the melting temperature (Tm) of each primer, and extension/data collection at 74 °C for 45 s, during which fluorescence was monitored. The final melt-curve analysis included denaturation at 95 °C for 15 s, annealing at 60 °C for 1 min, and a gradual increase to 95 °C in 0.3 °C increments to determine the melting temperatures. Normalized relative expression levels were calculated using the 2−ΔΔCT method [37].

2.8. Statistical Analysis

Experiments were conducted in triplicate. Data were analyzed using Microsoft Excel 2019 and expressed as mean ± standard deviation (SD). Statistical significance was determined by one-way ANOVA, followed by Tukey’s post hoc test for multiple comparisons. Differences were considered significant at p < 0.05.

3. Results

3.1. Essential Oils

The dried leaves of M. cajuputi used for essential oil extraction weighed 2060.49 g. The extraction yielded 10 mL of essential oil, corresponding to an oil yield of 0.48%.

3.2. GC-MS Analysis

The GC–MS analysis of M. cajuputi essential oils demonstrated a complex chemical composition dominated by sesquiterpene hydrocarbons and their oxygenated derivatives (Table 2; see Supplementary Information for the GC–MS chromatogram of M. cajuputi essential oils).
GC–MS analysis of the sample revealed a total of 154 peaks, corresponding to 96 unique compounds. The chemical profile was dominated by monoterpenes, including β-Pinene, α-phellandrene, D-limonene, γ-terpinene, and 3-carene, which eluted between 7 and 15 min. Sesquiterpenes such as caryophyllene, isocaryophillene, alloaromadendrene, and α-guaiene were detected in the mid-range of 17–34 min. Oxygenated terpenes, including caryophyllene oxide and cis-Z-α-bisabolene epoxide, were present in lower amounts. Aromatic and polycyclic hydrocarbons, including naphthalene, anthracene, and azulene derivatives, were detected in trace quantities. Fatty acids and their esters, such as n-hexadecanoic acid (palmitic acid), hexadecanoic acid methyl ester, and methyl abietate, eluted later between 27 and 49 min. The most abundant compounds were guaiol (12.92%), (+)-4-carene (8.87%), D-limonene (8.59%), caryophyllene (7.65%), and γ-terpinene (6.98%), indicating that monoterpenes and sesquiterpenes are the major constituents. Match quality for most compounds ranged from 70 to 99%, while some minor components exhibited lower values. Overall, the GC–MS profile indicates that the sample is rich in monoterpenes and sesquiterpenes, with minor contributions from fatty acids, esters, and aromatic hydrocarbons, consistent with typical plant-derived essential oils.
The GC–MS analysis of the sample revealed a diverse range of compounds with potential antimicrobial activity. Among the major components, D-limonene was identified and is known to possess strong antibacterial activity, including inhibition of MRSA [38]. Limonene also exhibits synergistic effects when combined with antibiotics such as gentamicin and demonstrates antifungal activity against Candida albicans and Candida tropicalis, including the ability to disrupt biofilms [39].
β-pinene was also detected in the sample and is recognized for its antibacterial properties, particularly against S. aureus. It can act synergistically with other compounds in essential oils to enhance antimicrobial efficacy [40]. The analysis showed the presence of γ-terpinene, which has been reported to exert antibacterial effects against S. aureus and is commonly found in essential oils used for treating infections [41]. Caryophyllene and its oxygenated derivative, caryophyllene oxide, were identified as well; both compounds are known for their antibacterial and antibiofilm activity, including inhibitory effects against MRSA and E. coli [42].
γ-muurolene, a sesquiterpene detected in the sample, has been reported in essential oils with antimicrobial activity against both Gram-positive and Gram-negative bacteria. Additionally, 1H-3a,7-methanoazulene (octahydro-) was present, although there is limited direct evidence of its antimicrobial activity in the literature. Its role in the essential oil may be more modulatory, potentially contributing to synergistic effects alongside other bioactive compounds. The combination of monoterpenes, such as D-limonene, and sesquiterpenes, such as caryophyllene and γ-muurolene, in the sample suggests a synergistic effect that enhances antimicrobial potency [43].
Overall, the chemical composition identified in the GC–MS analysis supports the potential of the sample to exhibit antimicrobial activity, particularly against MRSA and fungal pathogens. The presence of both major and minor bioactive compounds contributes to a broad-spectrum antimicrobial potential, with monoterpenes primarily responsible for antibacterial and antifungal effects and sesquiterpenes enhancing synergistic activity. The results indicate that M. cajuputi essential oils are chemically characterized by a high proportion of sesquiterpene hydrocarbons and oxygenated sesquiterpenes, along with trace amounts of phenolic and aromatic compounds, highlighting its potential as a natural source of bioactive molecules with pharmacological and therapeutic applications.

3.3. In Silico Molecular Docking

Table 3 presents the docking results, showing the 20 compounds from M. cajuputi EO with the strongest predicted binding affinities (lowest binding energies, kcal/mol) against MRSA target proteins, including SEA, SEB, SEC, TSST-1, FnBPA, and PBP2a.
The docking study revealed that hydrophobic interactions dominated the binding of most plant-derived compounds with their respective protein targets, with docking scores ranging from approximately −7.0 to −8.0 kcal/mol. Such scores are generally considered indicative of favorable binding affinities in structure-based drug design studies [44]. Among the tested ligands, alloaromadendrene (−7.948 kcal/mol) and α-calacorene (−7.893 kcal/mol) showed the strongest binding to toxic shock syndrome toxin-1 (TSST-1) through multiple alkyl and π-alkyl interactions, particularly with residues such as LYS111 and TRP52. These residues have previously been implicated in the structural stability and functional activity of TSST-1 [45], suggesting that hydrophobic blockade at these positions could interfere with toxin-receptor recognition and subsequent pathogenic effects.
Similarly, alpha-murolene (−7.819 kcal/mol) exhibited the strongest binding to staphylococcal enterotoxin C (SEC), forming numerous hydrophobic contacts with key residues including MET216, LYS212, and TYR213. Hydrophobic interactions are critical in stabilizing staphylococcal enterotoxins, which are known for their robust tertiary structures [46]. The capacity of terpenoids like alpha-murolene to establish such interactions aligns with prior reports on the antimicrobial efficacy of hydrophobic phytochemicals, which often disrupt protein stability or membrane integrity [47].
Interestingly, caryophyllene oxide (−7.396 kcal/mol) stood out in the case of fibronectin-binding protein A (FnBPA). Unlike most ligands that relied primarily on hydrophobic interactions, caryophyllene oxide also established conventional hydrogen bonds with THR59 and ASP60. Hydrogen bonding is a pivotal determinant of ligand specificity and stability in protein–ligand complexes [48]. The formation of hydrogen bonds by caryophyllene oxide suggests a more directed and specific interaction with FnBPA, which may enhance its inhibitory potential. Previous studies have also highlighted the antimicrobial properties of caryophyllene oxide, including its ability to compromise biofilm formation and bacterial adhesion [49].
For penicillin-binding protein 2a (PBP2a), α-calacorene (−7.126 kcal/mol) and Humulene (−7.009 kcal/mol) emerged as the most promising ligands, displaying favorable hydrophobic interactions with residues such as TYR272, ALA276, and LYS273. PBP2a is a well-characterized mediator of MRSA due to its reduced affinity for β-lactam antibiotics [6]. The ability of terpenoids to interact with their allosteric or active site residues provides a rational basis for further exploration, particularly in the context of overcoming antimicrobial resistance. Natural terpenoids have previously been reported to enhance the susceptibility of MRSA to β-lactams by disrupting cell wall synthesis or interfering with PBP activity [50].
Taken together, the docking results suggest that α-calacorene, alloaromadendrene, α-murolene, caryophyllene oxide, and humulene are the most promising candidates across the four staphylococcal protein targets. Although hydrophobic interactions were the predominant binding mechanism, the presence of hydrogen bonding in some cases, particularly with caryophyllene oxide, indicates stronger and more specific binding [51,52]. These findings underscore the therapeutic potential of plant-derived terpenoids as antibacterial agents, particularly against virulence factors and resistance-associated proteins in S. aureus.
Nevertheless, it is important to note that molecular docking represents a predictive approach and may not fully capture the dynamic nature of protein–ligand interactions. Further validation through rescoring methods, molecular dynamics simulations, and binding free energy calculations is recommended to assess the stability of these complexes under physiologically relevant conditions [53]. Ultimately, experimental assays such as enzyme inhibition, bacterial growth kinetics, and cytotoxicity profiling will be critical to confirm the biological relevance of these interactions.

3.4. Antibacterial Assay

The M. cajuputi essential oils show notable antibacterial activity against MRSA as well as S. aureus. The antibacterial strength can be categorized into four groups, which are weak (<5 mm), moderate (5–10 mm), strong (10–20 mm), and very strong (20–30 mm), based on the zone of inhibition (ZOI) [54]. From the findings, all the MRSA clinical isolates, as well as S. aureus, displayed moderate to strong sensitivity at concentrations ranging from 25% to 100%, with ZOI values ranging from 6.33 ± 0.33 mm to 16.67 ± 0.88 mm. However, certain MRSA clinical isolates and S. aureus show sensitivity at the 12.5% concentration, with ZOI values ranging from 6.00 ± 0.00 mm to 7.00 ± 0.00 mm. At concentrations of 6.25% and 3.13%, all bacteria show no ZOI, which is 6.00 ± 0.00 mm. For the negative control, which is 10% DMSO, all bacteria show no inhibition as measured by the ZOI. In contrast, positive control, which is vancomycin, exhibited higher ZOI across all bacteria, ranging from 15.33 ± 0.33 mm to 18.00 ± 0.58 mm. These findings indicate that the ZOI of the bacteria is concentration-dependent and demonstrates moderate antibacterial activity (Table 4).
The concentration-dependent activity observed in this study is consistent with previous reports on essential oils, in which higher concentrations generally enhance bacterial membrane disruption and increase the availability of bioactive compounds [55]. The strong activity at higher concentrations may be attributed to the high proportion of oxygenated monoterpenes, such as 1,8-cineole, terpineol, and linalool, which are major constituents of M. cajuputi essential oils and have been reported to exert broad-spectrum antibacterial properties. These compounds are known to integrate into lipid bilayers, increasing membrane fluidity and permeability, which ultimately leads to the leakage of vital intracellular components and cell death [56]. In addition to their membrane-disruptive effects, oxygenated monoterpenes can interfere with bacterial enzymatic systems and metabolic pathways, including the inhibition of ATP synthesis and the disruption of quorum-sensing mechanisms [57]. The synergistic interactions among multiple terpenoids and other minor constituents present in M. cajuputi essential oils may further potentiate their antibacterial efficacy, reflecting the complexity of essential oil bioactivity compared to individual isolated compounds. Collectively, these mechanisms highlight the potential of M. cajuputi essential oils as a natural antibacterial agent, particularly in combating multidrug-resistant pathogens.
The MIC values (3.13–12.5%) and MBC values (3.13–25%) obtained in this study further confirm the antibacterial potency of the essential oils (Table 5). Natural extracts with MIC values below 8 mg/mL, or equivalent low concentrations, are considered promising antibacterial agents [58]. Although the MIC values for M. cajuputi essential oils are higher than those of conventional antibiotics, they are comparable to or better than those of many other essential oils studied against MRSA and S. aureus. For example, Melaleuca alternifolia essential oils exhibited MICs ranging from 0.5% to 2% against MRSA isolates [59], while Cymbopogon citratus essential oils showed MICs of 2–4% [60]. The somewhat higher MIC observed in the present study could be attributed to differences in chemical composition, bacterial strain variability, or the inherent resistance mechanisms of MRSA.
Importantly, the ability of M. cajuputi essential oils to exhibit both inhibitory and bactericidal effects suggest that their bioactive compounds may target multiple bacterial pathways. Essential oils are known to act primarily through the disruption of bacterial cell membranes, leakage of cellular contents, inhibition of enzyme activity, and interference with quorum sensing [61]. The broad range of MBC values (3.13–25%) indicates variability among the bacterial isolates, highlighting potential strain-specific susceptibility.
From a therapeutic perspective, these findings support the potential application of M. cajuputi essential oils as a natural antibacterial agent, particularly in addressing infections caused by antibiotic-resistant pathogens such as MRSA. With the growing global challenge of antimicrobial resistance, the exploration of natural products such as essential oils offers promising alternatives or complementary approaches to conventional antibiotics [62]. However, further investigations are warranted, including in vivo studies, cytotoxicity assessments, and formulation development, to evaluate the safety, efficacy, and potential synergism with existing antibiotics.
M. cajuputi essential oils demonstrate moderate to strong antibacterial activity against MRSA and S. aureus in a concentration-dependent manner, with promising MIC and MBC values. These results underline their potential as a natural antibacterial agent, although optimization and clinical validation are necessary before practical applications can be realized.

3.5. Gene Level Expression

RT-qPCR was performed using OneStepPlus System by Applied Biosystem. In this study, relative quantification (RQ) change was used to assess the gene expression level of several virulence and toxin genes from MRSA, and the results are presented as fold changes. As presented in Figure 1, the sea gene exhibited the highest expression, with a fold change of 1.44, indicating moderate upregulation relative to the control. The sec gene showed a fold change of 1.02, suggesting expression comparable to baseline. The fnbA gene was modestly upregulated, with a fold change of 0.72. In contrast, seb and mecA showed reduced expression, with fold changes of 0.33 and 0.23, respectively. Notably, tsst-1 demonstrated minimal transcriptional activity, with a fold change of 0.05, indicating near absence of expression in this isolate. These results suggest that sea may play a dominant role in MRSA 4’s virulence, whereas tsst-1 appears transcriptionally silent under the tested conditions. Molecular analysis indicated that all treated groups with M. cajuputi essential oils showed a significant decrease in the expression of sea, seb, sec, tsst-1, fnbA, and mecA genes compared to the respective control groups (p < 0.05).
The RT-qPCR analysis provided insights into the transcriptional profile of several virulence- and toxin-associated genes in MRSA. Among the tested genes, sea exhibited the highest expression with a fold change of 1.44, suggesting moderate upregulation relative to the control. Enterotoxin A (sea) is one of the most prevalent staphylococcal enterotoxins and has been strongly linked to foodborne illness and immune modulation in invasive infections [63]. Its upregulation in the present study indicates that sea may play a dominant role in maintaining the virulence potential of this MRSA isolate.
In contrast, sec demonstrated expression close to baseline (1.02-fold change), while seb showed clear downregulation (0.33-fold change). Enterotoxin B (seb) is commonly associated with severe systemic manifestations, including toxic shock-like syndromes [64]. Its reduced expression under the present experimental conditions may reflect strain-specific regulation of superantigenic toxins or possible suppression by environmental or stress-related factors. The fnbA gene, encoding fibronectin-binding protein A, showed a modest upregulation (0.72-fold change). Although the increase was not pronounced, even low-level upregulation of adhesin genes such as fnbA can facilitate bacterial attachment to host extracellular matrix proteins and promote biofilm initiation [65]. Adhesion and biofilm formation are critical for MRSA persistence, immune evasion, and antibiotic tolerance, underscoring the pathogenic relevance of fnbA expression in this isolate.
Interestingly, mecA, the genetic determinant of methicillin resistance, was markedly downregulated (0.23-fold change). While mecA expression is essential for the synthesis of penicillin-binding protein 2a (PBP2a) and resistance to β-lactam antibiotics, its expression can be influenced by environmental cues, regulatory systems, and potential stressors [66]. The observed reduction may indicate conditional modulation of resistance mechanisms, which could have important implications for therapeutic strategies aimed at attenuating resistance phenotypes. The transcriptional silence of tsst-1 (0.05-fold change) is particularly notable. tsst-1 encodes toxic shock syndrome toxin-1, a potent superantigen responsible for toxic shock syndrome. Its minimal expression in this study suggests that this isolate does not rely on tsst-1 for pathogenicity under the tested conditions.
Overall, these findings suggest a differential transcriptional program in MRSA 4, in which sea appears to be the dominant virulence determinant, while seb, mecA, and particularly tsst-1 are suppressed. Such gene expression patterns highlight the complexity of MRSA pathogenicity, where virulence factor expression is often coordinated and influenced by environmental stressors, including exposure to antimicrobial agents and host immune defenses [67]. These results have important implications for understanding the pathogenic potential of MRSA isolates. The upregulation of sea suggests a prominent role for enterotoxin-mediated virulence in this isolate, whereas the downregulation of mecA and seb may indicate potential vulnerabilities that could be exploited therapeutically.

4. Conclusions

This study demonstrates that Melaleuca cajuputi essential oils exhibit significant antibacterial activity against MRSA, as evidenced by concentration-dependent growth inhibition, favorable MIC and MBC values, and pronounced bactericidal effects. GC–MS analysis identified alloaromadendrene and other major compounds as key bioactive constituents, with molecular docking revealing strong interactions between selected terpenoids, particularly alloaromadendrene and MRSA virulence proteins. The M. cajuputi essential oils also modulated key virulence-associated genes, significantly suppressing mecA, seb, fnbA, and tsst-1, suggesting their potential to attenuate pathogenicity through interference with gene expression. Overall, these findings support the therapeutic potential of M. cajuputi essential oils as a natural anti-MRSA agent and highlight the need for in vivo validation, safety assessment, and formulation development to advance their application against antimicrobial-resistant infections.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/bacteria5010013/s1, Supplementary Information: the GC–MS chromatogram of M. cajuputi essential oil.

Author Contributions

Conceptualization, N.Z.A.W.; methodology, N.Z.A.W.; software, N.A.N.M.Y. and A.K.Y.; formal analysis, K.S.K.R.A., N.A.N.M.Y. and A.K.Y.; investigation, K.S.K.R.A., N.A.N.M.Y. and A.K.Y.; resources, F.S.W., S.M.S.F.S.A.K. and M.H.A.; data curation, N.Z.A.W.; writing—original draft preparation, N.Z.A.W. and K.S.K.R.A.; writing—review and editing, N.Z.A.W.; visualization, N.Z.A.W.; supervision, N.Z.A.W.; project administration, N.Z.A.W., S.M.S.F.S.A.K. and M.H.A. All authors have read and agreed to the published version of the manuscript.

Funding

This work was financially supported by the Universiti Sultan Zainal Abidin and Dtree Pharma Sdn Bhd Matching Grant for the year 2024 (Grant Number: UniSZA/2023/PGP/04).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Acknowledgments

We thank Universiti Sultan Zainal Abidin, Dtree Pharma Sdn Bhd and Premier Integrated Labs Sdn Bhd for providing facilities, materials and technical support throughout the entire project.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
GC-MSGas Chromatography–Mass Spectrometry
MBCMinimum Bactericidal Concentration
MICMinimum Inhibitory Concentration
MRSAMethicillin-Resistant Staphylococcus aureus

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Figure 1. Bar chart that represents gene expression level of MRSA treated with M. cajuputi EO compared to the expression of non-treated MRSA of sea, seb, sec, tsst-1, fnbA and mecA genes. p < 0.05.
Figure 1. Bar chart that represents gene expression level of MRSA treated with M. cajuputi EO compared to the expression of non-treated MRSA of sea, seb, sec, tsst-1, fnbA and mecA genes. p < 0.05.
Bacteria 05 00013 g001
Table 1. Primers for MRSA and housekeeping genes.
Table 1. Primers for MRSA and housekeeping genes.
Target GenePrimer SequenceFunction
seaF 5′-AGC TTG TAT GTA TGG TGG TGT-3′Staphylococcal Enterotoxins
R 5′-ACG TCT TGC TTG AAG ATC CA-3′
sebF 5′-AGG ACA CTA AGT TAG GGA AT-3′Staphylococcal Enterotoxins
R 5′-CTC AGT TAC ACC ACC ATA CA-3′
secF 5′-TGT AGG TAA AGT TAC AGG TGG T-3′Staphylococcal Enterotoxins
R 5′-TGT CTA GTT CTT GAG CTG TTA C-3′
tsst-1F 5′-ATG GCA GCA TCA GCT TGA TA-3′Toxic Shock Syndrome-Toxin-1
R 5′- TTT CCA ATA ACC ACC CGT TT-3′
fnbAF 5′-CAC AAC CAG CAA ATA TAG-3′Fibronectin Binding Protein A
R 5′-CTG TGT GGT AAT CAA TGT-3′
mecAF 5′-AAA ATC GAT GGT AAA GGT TGG C-3′Methicillin Resistance Gene
R 5′-AGT TCT GCA GTA CCG GAT TTG C-3′
nucF 5′-GCG ATT GAT GGT GAT ACG GTI-3′Housekeeping Gene
R 5′-AGC CAA GCC TTG ACG AAC TAA AGC-3′
Table 2. Chemical composition of M. cajuputi essential oils analyzed by GC–MS.
Table 2. Chemical composition of M. cajuputi essential oils analyzed by GC–MS.
Peak No.RT (min)Identified Compound (Best Hit)CAS No.Area %Match Quality
17.027Bicyclo[3.1.0]hexane, 4-methylene…003387-41-50.0391
27.166Bicyclo[3.1.1]heptane, 6,6-dimethyl…018172-67-31.5697
37.443β-pinene000127-91-30.4592
47.891α-phellandrene000099-83-21.0991
58.1621,3-cyclohexadiene, 1-methyl-4-(…)000099-86-51.2997
68.585D-limonene005989-27-58.5998
78.9261,3,7-octatriene, 3,7-dimethyl-000502-99-80.0687
89.348γ-terpinene000099-85-46.9897
910.074(+)-4-carene029050-33-78.8798
1010.124Benzene, 1-methyl-4-(1-methylethyl-)001195-32-00.2397
1110.370Bicyclo[4.3.0]nonane, 2-methylen…040954-37-80.0270
1210.5723-carene013466-78-90.1697
1310.6543-carene013466-78-90.4594
1410.9383-carene013466-78-90.0497
1510.9823-carene013466-78-90.0695
1611.0583-carene013466-78-90.0595
1711.1841,3,6-octatriene, 3,7-dimethyl-…003338-55-40.1489
1811.3423-carene013466-78-90.0393
1911.3993-carene013466-78-90.1692
2012.572Mandelic acid90-64-20.0170
2112.951γ-terpinene99-85-40.0593
2213.026γ-terpinene99-85-40.0896
2313.152γ-terpinene99-85-40.0996
2413.260γ-terpinene99-85-40.0196
2513.279γ-terpinene99-85-40.0596
2613.430γ-terpinene99-85-40.0296
2713.455γ-terpinene99-85-40.0796
2813.8212,6-dimethyl-1,3,5,7-octatetraene460-01-50.0183
2913.872Benzene, tert-butyl-98-06-60.0153
3013.9542,6-dimethyl-1,3,5,7-octatetraene460-01-50.0189
3114.3573-carene13466-78-90.0678
3214.4023-carene13466-78-90.0270
3314.452(+)-4-carene29050-33-70.0364
3414.5343-carene13466-78-90.0178
3514.5593-carene13466-78-90.0183
3614.6413-carene13466-78-90.0450
3714.736(1R)-2,6,6-trimethylbicyclo[3.1…7785-70-80.0987
3815.234Cyclohexene, 5-methyl-3-(1-methyl…56816-08-10.0052
3915.4426,7-dimethyl-1,2,3,5,8,8a-hexahy…107914-92-10.0138
4015.5181,5,5-trimethyl-6-methylene-cycl…514-95-40.0190
4115.7641,3,6-heptatriene, 2,5,5-trimethyl-29548-02-50.1281
4215.840Cyclohexene, 4-ethenyl-4-methyl-20307-84-00.2699
4316.099α-cubebene17699-14-80.0197
4416.2633,7-dimethyloct-6-enyl ethyl car…1000373-78-10.0174
4516.288Tricyclo [4.4.0.0(2,8)]dec-3-en-5-ol1000193-38-70.0150
4616.464Cyclohexene, 1-methyl-4-(1-methyl…586-62-90.0164
4716.616α-ylangene1000374-19-00.0299
4816.767Copaene3856-25-50.1499
4916.912Cyclohexane, 1-ethenyl-1-methyl-…110823-68-20.1994
5017.171Cyclohexane, 1-ethenyl-1-methyl-…515-13-93.6590
5117.449Naphthalene, 1,2,3,4,4a,5,6,8a-o…473-13-20.0464
5217.537Methyleugenol93-15-20.0695
5317.922Caryophyllene87-44-57.6599
5417.960γ-elemene29873-99-20.3395
5518.067α-guaiene3691-12-10.0899
5618.168Aromandendrene489-39-40.0799
5718.319Naphthalene, decahydro-4a-methyl-…17066-67-00.0470
5818.452(E)-β-farnesene18794-84-80.1096
5918.647Humulene6753-98-64.3397
6018.8872-isopropenyl-4a,8-dimethyl-1,2,…1000192-43-50.3494
6119.032α-muurolene31983-22-90.3598
6219.0891,6-cyclodecadiene, 1-methyl-5-m…23986-74-50.3498
6319.291Naphthalene, 1,2,3,5,6,7,8,8a-o…10219-75-71.1299
6419.436Naphthalene, 1,2,3,4,4a,5,6,8a-o…473-13-21.1591
6519.505Naphthalene, 1,2,3,5,6,8a-hexahy…483-76-10.3199
6619.625Naphthalene, 1,2,3,5,6,7,8,8a-oc…10219-75-70.1878
6719.720γ-muurolene30021-74-00.0798
6819.808Naphthalene, 1,2,3,5,6,8a-hexahy…483-76-10.2998
6919.909Epizonarene41702-63-00.1089
7020.092Neoisolongifolene1000156-12-40.0383
7120.199Epizonarene41702-63-00.0390
7220.319α-calacorene21391-99-10.0695
7320.382Cadala-1(10),3,8-triene1000140-05-60.0291
7420.508cis-Z-α-bisabolene epoxide1000131-71-20.0878
7520.647Naphthalene, 1,2,3,4,4a,5,6,8a-o…473-13-20.1693
7620.836Cyclohexane, 1-ethenyl-1-methyl-…515-13-91.5495
7721.007α-guaiene3691-12-10.1491
7821.227Caryophyllene oxide1139-30-61.9692
7921.398Neoisolongifolene, 8,9-dehydro-67517-14-01.7870
8021.492Alloaromadendrene25246-27-90.8352
8121.921Guaiol489-86-112.9270
8221.978Benzoic acid, 4-[(trimethylsilyl)…27739-17-91.6638
8322.0351H-indene, 1-ethylideneoctahydro…56362-87-90.4951
8422.1421H-benzocycloheptene, 2,4a,5,6,73853-83-60.9349
8522.306Cyclohexene, 6-ethenyl-6-methyl-…5951-67-71.3096
8622.4702-naphthalenemethanol, 1,2,3,4,4…1209-71-83.2093
9023.007β-panasinsene1000159-39-06.8994
9123.051Naphthalene, decahydro-4a-methyl-000515-17-33.6790
9223.7572-acetyl-5-chloro-3-methylbenzo…51527-18-55.3572
9324.136Trans-farnesol106-28-50.3564
9424.357Naphthalene, 1,2,3,4,4a,5,6,8a-o…473-13-20.1189
9524.603Naphthalene, decahydro-4a-methyl…017066-67-00.0597
9624.678Naphthalene, decahydro-4a-methyl…017066-67-00.0295
9724.893Carbazole, 1,4-dimethyl-18028-55-20.0955
9824.912Carbazole, 1,4-dimethyl-18028-55-20.1755
9925.5172′,3′,4′ trimethoxyacetophenone13909-73-40.0242
10025.5553,5-pyridine-diamidoxime1000212-04-10.0338
10125.707cis-β-farnesene28973-97-90.0770
10226.237(Z,Z)-α-Farnesene1000293-03-10.0138
10326.767Ethylene, 1-nitro-2-[3-hydroxy-4…1000127-35-70.0146
10427.101Hexadecanoic acid, methyl ester (Methyl palmitate)112-39-00.0998
10527.246Pentadecanoic acid, 14-methyl-, methyl ester5129-60-20.0197
10627.871Benzenemethanol, 4-(1,1-dimethylethyl)-877-65-60.0049
10728.167n-hexadecanoic acid (palmitic acid)57-10-30.4999
10828.533n-hexadecanoic acid57-10-30.0298
10928.596n-hexadecanoic acid57-10-30.0198
11028.646n-hexadecanoic acid57-10-30.0299
11128.760n-hexadecanoic acid57-10-30.0093
11228.804n-hexadecanoic acid57-10-30.0194
11329.239n-hexadecanoic acid57-10-30.0195
11429.561Retene483-65-80.1164
11529.612Retene483-65-80.0768
11629.694Retene483-65-80.0168
11729.713Retene483-65-80.0268
11829.795Ethanone, 1-(4,6-dihydroxy-2,3,5-trihydroxyphenyl)-21987-07-50.0764
11929.883Ethanone, 1-(4,6-dihydroxy-2,3,5-trihydroxyphenyl)-21987-07-50.0352
12029.9841H-3a,7-methanoazulene, octahydro-25491-20-70.1293
12130.135Cyclopentaneacetaldehyde, 2-formyl-5951-57-50.0851
12230.4953,6-di(N-pyrrolidinyl)-1,2,4,5-tetrazine117040-53-60.0438
12330.5711H-3a,7-methanoazulene, octahydro-25491-20-70.0286
12430.5961H-3a,7-methanoazulene, octahydro-25491-20-70.0292
12530.6461H-3a,7-methanoazulene, octahydro-25491-20-70.0194
12630.6726-(1-hydroxymethylvinyl)-4,8a-dimethyl-1,2,3,4,4a,5,6,7-octahydronaphthalene1000190-51-40.0242
12730.7411H-3a,7-methanoazulene, octahydro-025491-20-70.0294
12830.7912H-2,4a-ethanonaphthalen-8(5H)-one032391-46-10.0150
12931.138Bicyclo[6.1.0]nonane, 9-(1-methylethenyl)-056666-90-10.0470
13031.1891H-3a,7-methanoazulene, octahydro-025491-20-70.0395
13131.3651H-3a,7-methanoazulene, octahydro-025491-20-70.0195
13231.4481H-3a,7-methanoazulene, octahydro-025491-20-70.0294
13331.466Naphthalene, 1,2,4a,5,6,8a-hexahydro-483-75-00.0266
13432.3371H-3a,7-methanoazulene, octahydro-025491-20-70.0187
13532.4761H-3a,7-methanoazulene, octahydro-025491-20-70.0195
13632.6521H-3a,7-methanoazulene, octahydro-025491-20-70.0186
13732.6841H-3a,7-methanoazulene, octahydro-025491-20-70.0195
13832.7661H-cycloprop[e]azulene, 1a,2,3,5,6,7,7a,7b-octahydro-021747-46-60.0191
13932.7856-isopropenyl-4,8a-dimethyl-1,2,3,4,4a,5,6,7-octahydronaphthalene1000189-10-20.0193
14032.8671H-3a,7-methanoazulene, octahydro-025491-20-70.0189
14132.924Bicyclo[7.2.0]undec-4-ene, 4,11-dimethyl-013877-93-50.0191
14232.943Isocaryophillene1000140-07-20.0193
14334.0726-Isopropenyl-4,8a-dimethyl-1,2,3,4,4a,5,6,7-octahydronaphthalene1000189-10-20.0090
14434.1291H-3a,7-methanoazulene, octahydro-025491-20-70.0094
14534.2111H-3a,7-methanoazulene, octahydro-025491-20-70.0089
14634.2551H-3a,7-methanoazulene, octahydro-025491-20-70.0094
14734.305Isocaryophillene1000140-07-20.0066
14840.027Zinc, dicyclopentyl-020525-74-00.0038
14940.273Anthracene, 9,10-dihydro-9,9,10-trimethyl-014923-29-60.0055
15040.4379,10-methanoanthracen-11-ol, 9,10-dihydro-126615-74-50.0062
15147.087Methyl abietate000127-25-30.0011
15247.118Di-n-decylsulfone111530-37-10.0112
15349.383Acetic acid, [4-(1,1-dimethylethyl)phenyl] ester088530-52-30.0138
15449.4972-ethylacridine055751-83-20.0042
Table 3. Docking results of the 20 strongest compounds of M. cajuputi essential oils with the lowest estimated binding energies (kcal/mol) against MRSA SEA, SEB, SEC, TSST-1, FnBPA and PBP2a proteins.
Table 3. Docking results of the 20 strongest compounds of M. cajuputi essential oils with the lowest estimated binding energies (kcal/mol) against MRSA SEA, SEB, SEC, TSST-1, FnBPA and PBP2a proteins.
PeakLigandDocking Score/Binding Interaction
Staphylococcal Enterotoxin A (SEA)Staphylococcal Enterotoxin B (SEB)Staphylococcal Enterotoxin C (SEC)Toxic Shock Syndrome Toxin-1
(TSST-1)
Fibronectin-Binding Protein A (FnBPA)Penicillin-Binding Protein 2a (PBP2a)
1.
 
Alpha-guaiene−5.942 kcal/mol

Pi-Alkyl bond = A: PHE58, A: PHE57
Bacteria 05 00013 i001
−6.759 kcal/mol

Alkyl bond = B: LEU11. B: PRO6
Bacteria 05 00013 i002
−6.022 kcal/mol

Alkyl and Pi-Alkyl bond = A: LYS212, A: ALA203, A: TYR213, A: PHE208
Bacteria 05 00013 i003
−7.578 kcal/mol

Alkyl bond = A: LYS110
Bacteria 05 00013 i004
−7.395 kcal/mol

Alkyl bond = B: VAL256, B: PRO219, B: PRO309
Bacteria 05 00013 i005
−6.827 kcal/mol

Alkyl bond = A: LEU224, A: VAL217
Bacteria 05 00013 i006
2.
 
Alpha-muurolene−5.716 kcal/mol

Alkyl bond = A: LEU23
Bacteria 05 00013 i007
−6.425 kcal/mol

Pi-Sigma bond = A: PHE47
Pi-Alkyl bond = A: TYR46, B: TYR233
Bacteria 05 00013 i008
−6.339 kcal/mol

Alkyl and Pi-Alkyl bond = A: MET216, A: LYS212, A: TYR213, A: PHE208, A: ALA203
Bacteria 05 00013 i009
−7.819 kcal/mol

Alkyl bond = A: LYS111, A: LYS110
Bacteria 05 00013 i010
−6.967 kcal/mol

Alkyl and Pi-Alkyl bond = B: PHE306, B: PRO219, B: PRO309, B: VAL256
Bacteria 05 00013 i011
−6.934 kcal/mol

Alkyl and Pi-Alkyl bond = A: LYS604, A: TRP616, A: LEU603, A: ILE164, A: ALA601
Bacteria 05 00013 i012
3.
 
Alpha-ylangene−5.827 kcal/mol

Alkyl bond = A: LEU23
Bacteria 05 00013 i013
−6.309 kcal/mol

Alkyl and Pi-Alkyl bond = B: ALA203, B: TYR213, B: LYS212
Bacteria 05 00013 i014
−6.169 kcal/mol

Alkyl bond = A: LYS162, A: VAL147
Bacteria 05 00013 i015
−7.766 kcal/mol

Alkyl bond = A: LYS111
Bacteria 05 00013 i016
−7.763 kcal/mol

Alkyl and Pi-Alkyl bond = B: PHE306, B: VAL256
Bacteria 05 00013 i017
−6.57 kcal/mol

Pi-Sigma bond = A: TYR272
Alkyl bond = A: LYS289 Bacteria 05 00013 i018
4.
 
Alloaromandendrene−5.974 kcal/mol

Alkyl and Pi-Alkyl bond = A: PRO139, A: ARG161, A: TYR162
Bacteria 05 00013 i019
−6.207 kcal/mol

Pi-Alkyl bond = A: PHE47
Bacteria 05 00013 i020
−6.177 kcal/mol

Alkyl and Pi-Alkyl bond = A: LEU58, A: HIS31

Bacteria 05 00013 i021
−7.948 kcal/mol

Alkyl bond = A: LYS111
Bacteria 05 00013 i022
−7.249 kcal/mol

Alkyl bond = B: VAL256
Bacteria 05 00013 i023
−6.828 kcal/mol

Pi-Alkyl bond = A: TYR272
Bacteria 05 00013 i024
5.
 
Caryophyllene−6.02 kcal/mol

Pi-Alkyl bond = A: TYR162
Bacteria 05 00013 i025
No interaction.−5.897 kcal/mol

Pi-Sigma bond = A: PHE196
Alkyl bond = A: LYS221
Bacteria 05 00013 i026
No interaction.−7.006 kcal/mol

Alkyl bond = B: VAL256
Bacteria 05 00013 i027
−7.001 kcal/mol

Pi-Alkyl bond = A: TYR272
Bacteria 05 00013 i028
6.
 
Copaene−5.685 kcal/mol

Alkyl bond = A: ALA22, A: LEU23, A: LEU18
Bacteria 05 00013 i029
−5.876 kcal/mol

Pi-Alkyl bond = A: PHE47, A: TYR46, B: TYR233
Bacteria 05 00013 i030
−6.312 kcal/mol

Alkyl and Pi-Alkyl bond = A: MET216, A: TYR213, A: HIS12, A: LYS212
Bacteria 05 00013 i031
−7.314 kcal/mol

Pi-Alkyl bond = A: TRP52
Bacteria 05 00013 i032
−7.915 kcal/mol

Alkyl and Pi-Alkyl bond = B: PHE306, B: VAL256
Bacteria 05 00013 i033
−6.303 kcal/mol

Alkyl and Pi-Alkyl bond = A: LEU224, A: VAL217, A: PHE227, A: TYR223
Bacteria 05 00013 i034
7.
 
Cyclohexane−3.532 kcal/mol

Alkyl bond = A: LEU131, A: LYS178
Bacteria 05 00013 i035
−3.582 kcal/mol

Alkyl and Pi-Alkyl bond = A: TYR213, A: LYS212, A: ALA203
Bacteria 05 00013 i036
−3.759 kcal/mol

Alkyl and Pi-Alkyl bond = A: TYR213, A: LYS212, A: ALA203
Bacteria 05 00013 i037
−4.74 kcal/mol

Alkyl and Pi-Alkyl bond = A: ILE166, A: PHE212, A: LYS218
Bacteria 05 00013 i038
−3.729 kcal/mol

Alkyl and Pi-Alkyl bond = B: PHE367, B: LYS369, B: ILE409
Bacteria 05 00013 i039
−4.063 kcal/mol

Alkyl bond = A: LEU570, A: LEU455, A: LYS456
Bacteria 05 00013 i040
8.
 
D-limonene−4.939 kcal/mol

Alkyl and Pi-Alkyl bond = A: LEU23, A: LYS27, A: PHE175

Bacteria 05 00013 i041
−4.999 kcal/mol

Alkyl and Pi-Alkyl bond = A: ALA203, A: LYS212, A: LYS207, A: PHE208
Bacteria 05 00013 i042
−5.097 kcal/mol

Alkyl and Pi-Alkyl bond = A: ALA203, A: LYS212, A: TYR213, A; PHE208
Bacteria 05 00013 i043
−6.163 kcal/mol

Alkyl bond = A: LYS110, A: LYS111
Bacteria 05 00013 i044
−6.004 kcal/mol

Alkyl and Pi-Alkyl bond = A: VAL256, A: PRO309, A: PHE306, A: PRO219, C: ALA14
Bacteria 05 00013 i045
−5.66 kcal/mol

Alkyl and Pi-Alkyl bond = A: ALA276, A: TYR272, A: LYS273
Bacteria 05 00013 i046
9.
 
Napthalene−5.187 kcal/mol

Pi-Pi T-shaped and Amide-Pi Stacked bond = A: TYR162
Pi-Alkyl bond = A: PRO139, A: ARG161
Bacteria 05 00013 i047
−5.195 kcal/mol

Pi-Sigma bond = B: LEU11
Pi-Alkyl bond = B: PRO6
Bacteria 05 00013 i048
−5.469 kcal/mol

Pi-Donor Hydrogen bond = A: ASP209
Pi-Alkyl bond = A: LYS212
Pi-Sigma bond = A: ALA203
Bacteria 05 00013 i049
−6.829 kcal/mol

Pi-Cation bond = A: LYS211
Pi-Alkyl bond = A: LYS211
Pi-Pi Stacked bond = A: TRP52
Bacteria 05 00013 i050
−6.375 kcal/mol

Pi Alkyl bond = A: VAL256, A: PRO309, C: ALA14
Bacteria 05 00013 i051
−5.655 kcal/mol

Pi-Donor Hydrogen bond = TYR344, A: THR399
Pi-Alkyl bond = A: LYS634, A: LYS394, A: ILE614
Pi-Pi T-shaped bond = A: TYR344
Bacteria 05 00013 i052
10.
 
1, 6 Cyclodecadiene−4.723 kcal/mol

Pi-Alkyl bond = A: PHE58

Bacteria 05 00013 i053
−4.82 kcal/mol

Alkyl bond = B: ALA203, B: LYS212
Bacteria 05 00013 i054
−5.097 kcal/mol

Alkyl bond = A: ALA203, A: LYS212
Bacteria 05 00013 i055
−6.428 kcal/mol

Alkyl bond = A: ARG108
Bacteria 05 00013 i056
−5.336 kcal/mol

Alkyl bond = A: ILE409
Bacteria 05 00013 i057
−5.352 kcal/mol

Alkyl bond = A: LEU570, A: LYS456
Bacteria 05 00013 i058
11.
 
Beta-pinene−4.795 kcal/mol

Alkyl bond = A: LEU23, A:LYS27
Bacteria 05 00013 i059
−4.796 kcal/mol

Alkyl and Pi-Alkyl bond = A: ALA203, A: LYS212, A: TYR213, A: PHE208
Bacteria 05 00013 i060
−5.344 kcal/mol

Alkyl and Pi-Alkyl bond = A:HIS31, A:LYS57, A:LEU58
Bacteria 05 00013 i061
−6.201 kcal/mol

Alkyl and Pi-Alkyl bond = A: ILE166, A: PHE212, A: LYS218
Bacteria 05 00013 i062
−5.704 kcal/mol

Alkyl bond = B:VAL256
Bacteria 05 00013 i063
−5.265 kcal/mol

Alkyl bond = A:VAL217, A:PRO370
Bacteria 05 00013 i064
12.
 
Alpha-phellandrene−4.73 kcal/mol

Alkyl & Pi-Alkyl bond = A: LEU23, A:LYS27, A:PHE175
Pi-Donor Hydrogen Bond = A:SER172
Bacteria 05 00013 i065
−5.287 kcal/mol

Pi-Alkyl bond = B: ALA203, B:HIS12, B:TYR213
Pi-Pi T-shaped & Amide-Pi Stacked = B:LYS212, B:TYR213
Bacteria 05 00013 i066
−5.724 kcal/mol

Pi-Alkyl bond = A:ALA203, A:HIS12, A:TYR213, A:LYS212
Pi-Pi T-shaped = A:TYR213
Bacteria 05 00013 i067
−6.424 kcal/mol

Alkyl and Pi-Alkyl bond = A:LEU49, A:TRP52, A:LYS211
Pi-Pi Stacked = A:TRP52
Pi-Cation = A:LYS211
Bacteria 05 00013 i068
−5.98 kcal/mol

Alkyl & Pi-Alkyl bond = B:LYS411
Pi-Sigma bond = B:ILE409

Bacteria 05 00013 i069
−5.415 kcal/mol

Pi-alkyl bond = A:ALA642
Pi-Pi Stacked = A:TYR446
Bacteria 05 00013 i070
13.
 
Gamma-terpinene−4.706 kcal/mol

Alkyl & Pi-Alkyl bond = A: TYR162, A:PRO139
Bacteria 05 00013 i071
−5.068 kcal/mol

Alkyl and Pi-Alkyl bond = B:PRO6, B:TYR186, B:LEU11
Bacteria 05 00013 i072
−5.233 kcal/mol

Alkyl and Pi-Alkyl bond = A: HIS12, A:MET216, A:TYR213
Bacteria 05 00013 i073
−6.299 kcal/mol

Alkyl and Pi-Alkyl bond = A:LEU49, A:TRP52, A:LYS211
Bacteria 05 00013 i074
−5.817 kcal/mol

Alkyl & Pi-Alkyl bond = B:LYS369, B:PHE367, B:ILE409

Bacteria 05 00013 i075
−5.726 kcal/mol

Alkyl & Pi-Alkyl bond = A:TYR272, A:ALA276, A:LYS273
Bacteria 05 00013 i076
14.
 
Methyleugenol−4.726 kcal/mol

Carbon hydrogen bond = A:GLU165
Bacteria 05 00013 i077
−5.093 kcal/mol

Conventional hydrogen bond = A:TYR46, B:TYR186
Bacteria 05 00013 i078
−4.991 kcal/mol

Conventional hydrogen bond = A:ASP209
Carbon hydrogen bond = A:ALA203, A:LYS207
Bacteria 05 00013 i079
−5.692 kcal/mol

Conventional hydrogen bond = A:LYS111
Bacteria 05 00013 i080
−5.269 kcal/mol

Conventional hydrogen bond = B:SER351
Carbon hydrogen bond = B:His220
Bacteria 05 00013 i081
−4.797 kcal/mol

Conventional Hydrogen bond = A:HIS293

Bacteria 05 00013 i082
15.
 
Gamma-elemene−4.431 kcal/mol

Alkyl bond = A:ALA201, A:ILE212
Bacteria 05 00013 i083
−5.867 kcal/mol

Pi-Alkyl bond = A:TYR46
Bacteria 05 00013 i084
−5.558 kcal/mol

Alkyl and Pi-Alkyl bond = A:PHE208, A:LYS212, A:TYR213
Bacteria 05 00013 i085
−6.768 kcal/mol

Alkyl bond = A:LYS110
Bacteria 05 00013 i086
−6.516 kcal/mol

Alkyl bond = B:LYS411, B:ILE409
Bacteria 05 00013 i087
−5.961 kcal/mol

Alkyl bond = A:VAL217
Bacteria 05 00013 i088
16.
 
Caryophyllene oxide−5.813 kcal/mol

Conventional hydrogen bond = A:THR59, A:ASP60
Bacteria 05 00013 i089
−5.919 kcal/mol

Carbon hydrogen bond = B:PRO8
Bacteria 05 00013 i090
−5.909 kcal/mol

Conventional hydrogen bond = A:ASN88
Pi-Alkyl bond = A:HIS31
Bacteria 05 00013 i091
−6.933 kcal/mol

Alkyl bond = A:LYS218
Conventional hydrogen & Carbon hydrogen bond = A:THR216
Bacteria 05 00013 i092
−7.396 kcal/mol

Alkyl bond = B:VAL256
Bacteria 05 00013 i093
−6.577 kcal/mol

Conventional Hydrogen bond = A:LYS218
Alkyl Bond = A:VAL217, A:PRO370
Bacteria 05 00013 i094
17.
 
α-calacorene−5.501 kcal/mol

Alkyl & Pi-Alkyl bond = A: TYR162, A:ALA210, A:ILE212
Pi-Sigma bond = A:ILE212
Bacteria 05 00013 i095
−6.157 kcal/mol

Pi-Alkyl bond = A:PHE47
Bacteria 05 00013 i096
−6.214 kcal/mol

Alkyl and Pi-Alkyl bond = A: ALA203, A:PHE208, A:LYS212, A:TYR213
Bacteria 05 00013 i097
−7.893 kcal/mol

Alkyl and Pi-Alkyl bond = A:ILE125, A:TRP52, A:LYS211
Pi-Cation bond = A:LYS211
Pi-Pi Stacked = A:TRP52
Bacteria 05 00013 i098
−7.038 kcal/mol

Alkyl & Pi-alkyl bond = A:PRO309, A:VAL256, A:TYR 414, A:VAL365
Bacteria 05 00013 i099
−7.126 kcal/mol

Alkyl & Pi-Alkyl bond = A:TYR272, A:ALA276, A:LYS273, A:LYS289
Pi-Pi T-shaped = A:TYR272
Bacteria 05 00013 i100
18.
 
Gamma-muurolene−5.422 kcal/mol

Alkyl bond = A:ARG161
Bacteria 05 00013 i101
−6.363 kcal/mol

Pi-Alkyl bond = A:PHE47, A:TYR46, B:TYR233
Bacteria 05 00013 i102
−6.17 kcal/mol

Alkyl bond = A:LYS162, A:VAL147
Bacteria 05 00013 i103
−7.417 kcal/mol

Alkyl bond = A:LYS111
Bacteria 05 00013 i104
−7.539 kcal/mol

Alkyl & Pi-alkyl bond = B:PRO309, B:VAL256, B:LEU498, B:PRO219, B:PHE306
Bacteria 05 00013 i105
−6.494 kcal/mol

Alkyl & Pi-Alkyl bond = A:TYR272, A:ALA276, A:LYS273, A:LYS289
Pi-sigma = A:TYR272
Bacteria 05 00013 i106
19.
 
Guaiol8.944 kcal/mol

Alkyl & Pi-Alkyl bond = A: TYR30, A:LEU26, A:ALA201, A:ILE212, A:LEU209
Unfavorable Bump = A:ILE212, A:ASP197, A:ARG160
Bacteria 05 00013 i107
−6.481 kcal/mol

Alkyl and Pi-Alkyl bond = A:PRO6, A:TYR186, A:LEU11, A:TYR233

Bacteria 05 00013 i108
−4.821 kcal/mol

Alkyl bond = A:MET215


Bacteria 05 00013 i109
−7.179 kcal/mol

Alkyl and Pi-Alkyl bond = A:TRP52, A:LYS111


Bacteria 05 00013 i110
−7.274 kcal/mol

Alkyl bond = B:PRO309, B:PRO219, B:VAL256
Bacteria 05 00013 i111
−6.922 kcal/mol

Alkyl & Pi-Alkyl bond = A:PHE227, A:VAL217, A:LEU190, A:ILE171, A:LEU224
Bacteria 05 00013 i112
20.
 
Humulene−4.573 kcal/mol

Alkyl bond = A:ILE212
Bacteria 05 00013 i113
−5.846 kcal/mol

Alkyl bond = B:ALA203, B:LYS212
Bacteria 05 00013 i114
−5.601 kcal/mol

Pi-Alkyl bond = A:PHE196
Bacteria 05 00013 i115
−6.674 kcal/mol

Alkyl bond = A:LYS111
Bacteria 05 00013 i116
−6.149 kcal/mol

Alkyl bond = B:LYS411
Bacteria 05 00013 i117
−7.009 kcal/mol

Pi-alkyl bond = A:TYR272
Bacteria 05 00013 i118
Table 4. Zone of inhibition of disc diffusion method for M. cajuputi essential oils against MRSA clinical isolates.
Table 4. Zone of inhibition of disc diffusion method for M. cajuputi essential oils against MRSA clinical isolates.
Tested BacteriaZone of Inhibition (mm)
100%50%25%12.50%6.25%3.13%10% DMSO (Negative Control)Vancomycin
30 mcg
(Positive Control)
S. aureus ATCC2592312.67 ± 0.679.67 ± 0.337.67 ± 0.337.00 ± 0.006.00 ± 0.006.00 ± 0.006.00 ± 0.0017.67 ± 0.33
MRSA 19.67 ± 0.337.67 ± 0.337.00 ± 0.006.67 ± 0.336.00 ± 0.006.00 ± 0.006.00 ± 0.0016.33 ± 0.33
MRSA 210.00 ± 0.007.33 ± 0.336.33 ± 0.336.00 ± 0.006.00 ± 0.006.00 ± 0.006.60 ± 0.0018.00 ± 0.58
MRSA 312.00 ± 0.008.67 ± 0.337.33 ± 0.336.00 ± 0.006.00 ± 0.006.00 ± 0.006.00 ± 0.0018.00 ± 0.58
MRSA 416.00 ± 0.587.67 ± 0.337.67 ± 0.336.67 ± 0.336.00 ± 0.006.00 ± 0.006.00 ± 0.0017.33 ± 0.33
MRSA 516.67 ± 0.888.67 ± 0.337.67 ± 0.336.00 ± 0.006.00 ± 0.006.00 ± 0.006.00 ± 0.0016.00 ± 0.58
MRSA 610.67 ± 0.338.33 ± 0.337.00 ± 0.006.33 ± 0.336.00 ± 0.006.00 ± 0.006.00 ± 0.0016.00 ± 0.00
MRSA 79.67 ± 0.338.0 ± 0.007.00 ± 0.006.00 ± 0.006.00 ± 0.006.00 ± 0.006.00 ± 0.0018.00 ± 0.58
MRSA 814.67 ± 0.679.67 ± 0.338.33 ± 0.336.33 ± 0.336.00 ± 0.006.00 ± 0.006.00 ± 0.0015.33 ± 0.33
Data are means of three replicates (n = 3) ± standard error.
Table 5. Minimum inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of M. cajuputi essential oils against MRSA clinical isolates.
Table 5. Minimum inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of M. cajuputi essential oils against MRSA clinical isolates.
Tested BacteriaMIC (%)MBC (%)MBC/MIC
S. aureus ATCC259233.133.131
MRSA 16.2512.52
MRSA 212.5252
MRSA 36.2512.52
MRSA 46.2512.52
MRSA 53.133.131
MRSA 66.2512.52
MRSA 73.136.252
MRSA 83.133.131
Test is performed in triplicate. MBC/MIC = Bactericidal effect was defined as the MBC/MIC ratio less than 4, whereas bacteriostatic effect was defined as the ratio being greater than 4.
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MDPI and ACS Style

Abd Wahab, N.Z.; Kamal Rul Azrul, K.S.; Mohd Yuseri, N.A.N.; Yahya, A.K.; Si Wei, F.; Sayed Abdul Kadir, S.M.S.F.; Abdullah, M.H. Unveiling the Antibacterial Potential of Melaleuca cajuputi Essential Oils Against MRSA: Integrating In Vitro Efficacy and In Silico Mechanistic Insights. Bacteria 2026, 5, 13. https://doi.org/10.3390/bacteria5010013

AMA Style

Abd Wahab NZ, Kamal Rul Azrul KS, Mohd Yuseri NAN, Yahya AK, Si Wei F, Sayed Abdul Kadir SMSF, Abdullah MH. Unveiling the Antibacterial Potential of Melaleuca cajuputi Essential Oils Against MRSA: Integrating In Vitro Efficacy and In Silico Mechanistic Insights. Bacteria. 2026; 5(1):13. https://doi.org/10.3390/bacteria5010013

Chicago/Turabian Style

Abd Wahab, Noor Zarina, Kamal Saifullah Kamal Rul Azrul, Nur Ain Najwa Mohd Yuseri, Ahmad Khalis Yahya, Fong Si Wei, Sayed Mohd Saufi Fahmi Sayed Abdul Kadir, and Mohd Hanif Abdullah. 2026. "Unveiling the Antibacterial Potential of Melaleuca cajuputi Essential Oils Against MRSA: Integrating In Vitro Efficacy and In Silico Mechanistic Insights" Bacteria 5, no. 1: 13. https://doi.org/10.3390/bacteria5010013

APA Style

Abd Wahab, N. Z., Kamal Rul Azrul, K. S., Mohd Yuseri, N. A. N., Yahya, A. K., Si Wei, F., Sayed Abdul Kadir, S. M. S. F., & Abdullah, M. H. (2026). Unveiling the Antibacterial Potential of Melaleuca cajuputi Essential Oils Against MRSA: Integrating In Vitro Efficacy and In Silico Mechanistic Insights. Bacteria, 5(1), 13. https://doi.org/10.3390/bacteria5010013

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