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Article

A Novel Approach Based on Real-Time PCR with High-Resolution Melting Analysis for the Simultaneous Identification of Staphylococcus aureus and Staphylococcus argenteus

by
Daniele Chieffi
1,
Dafne Bongiorno
2,
Anna Licitra
1,
Floriana Campanile
2 and
Vincenzina Fusco
1,*
1
Institute of Sciences of Food Production, National Research Council of Italy (CNR-ISPA), 70126 Bari, Italy
2
Medical Molecular Microbiology and Antibiotic Resistance Laboratory (MMARLab), Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
Foods 2024, 13(18), 3004; https://doi.org/10.3390/foods13183004
Submission received: 26 August 2024 / Revised: 14 September 2024 / Accepted: 19 September 2024 / Published: 22 September 2024
(This article belongs to the Special Issue The Staphylococcus aureus Complex and Its Role in Microbial Food Safety)
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Abstract

:
Staphylococcus (S.) aureus is a pathogenic bacterium able to cause several diseases in humans and animals as well as foodborne intoxications. S. argenteus, being phenotypically and genotypically related to S. aureus, is part of the so-called S. aureus complex and recently recognized as an emerging pathogen able to cause, like S. aureus, several diseases both in humans and animals, and foodborne poisoning outbreaks. However, it has been reported that the widely used conventional PCR of Brakstad et al. [Journal of Clinical Microbiology, 30(7), 1654–1660, (1992)] targeting the thermostable nuclease gene may provide false-positive S. aureus, as it is able to amplify also S. argenteus. Here, we developed a novel two-step approach that, following the PCR of Brakstad et al. (1992), discriminates S. aureus from S. argenteus by a real-time PCR with high-resolution melting analysis (rt-PCR-HRM). In particular, targeting a polymorphic 137 bp region of the sodA gene, our developed rt-PCR-HRM method clearly discriminated S. aureus from S. argenteus, showing a remarkable difference in their amplification product melting temperatures (approximately 1.3 °C) as well as distinct melting curve shapes. The good sensitivity, reproducibility, user friendliness, and cost effectiveness of the developed method are advantageous attributes that will allow not only its easy employment to correctly identify misidentified isolates present in various collections of S. aureus, but also expand the still lacking knowledge on the prevalence and distribution of S. argenteus.

1. Introduction

Staphylococcus (S.) aureus (phylum Bacillota; class Bacilli; order Bacillales; family Staphylococcaceae; genus Staphylococcus) (https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=1280, accessed on 1 March 2024) is a Gram-stain-positive, facultatively anaerobic, coagulase- and catalase-positive coccoid bacterium discovered in the late 1800s thanks to the Scottish surgeon Sir Alexander Ogston, who observed masses that “looked like bunches of grapes” in pus from a surgical abscess (1880), and the German physician Friedrich Julius Rosenbach, who named S. aureus for its characteristic yellow colonies (from the Latin aurum, gold) (1884) [1].
S. aureus is a pathogenic microorganism able to cause a wide variety of systemic and localized diseases, including bacteremia, toxic shock syndrome, endocarditis, epidural abscess, meningitis, septic thrombophlebitis, as well as osteoarticular, pleuropulmonary, soft tissue, skin, urinary tract, and prosthetic device-related infections [2,3]. It also poses a threat to food safety, causing staphylococcal food poisoning (SFP) [4] due to its ability to produce 33 known staphylococcal enterotoxins (SEs) and enterotoxin like-toxins (SEls) [5,6]. This foodborne disease is characterized by severe nausea and projectile vomiting, while other symptoms comprise retching, diarrhea, abdominal cramps, headache, muscle ache, dizziness, shivering, and general weakness sometimes associated with a moderate fever [7,8]. Although it is usually a self-limiting illness lasting from several hours to 48 h, it has often an abrupt and severe onset after a short incubation period (30 min to 8 h following the ingestion of the contaminated food), and in severe cases, dehydration, prostration, and shock can occur, requiring hospitalization [7,8]. In particular, deaths can range from 0.03% in healthy people to 4.4% in infants, elderly, or patients with underlying chronical illness [8].
In 2015, two novel species, i.e., S. argenteus and S. schweitzeri, which are phenotypically and genotypically related to S. aureus, were identified, and the S. aureus-related complex was described [9] and then also enlarged to include two other species (i.e., S. singaporensis and S. roterodami), although, due to phylogenetic analyses, their identification as separate species remains questionable [10,11,12].
While S. schweitzeri has not been associated with pathological conditions and was essentially reported in few animal species on the African continent [13], S. argenteus is increasingly recognized as an emerging pathogen [14] able to cause different pathological conditions in humans (e.g., lymphadenitis, endocarditis, joint infection, and sepsis) and animals (e.g., wound infection, abscess, and mastitis in cattle) [15,16,17,18,19,20,21]. In addition, due to its SE-producing ability [22], S. argenteus has recently been reported as the causative agent of several foodborne poisoning outbreaks [22,23,24].
It should be emphasized that Brakstad et al. [25] developed a conventional polymerase chain reaction (PCR) assay for S. aureus identification by targeting a region of the S. aureus thermostable nuclease encoding gene (nucA). Currently, this assay is widely used as a standard confirmatory marker for S. aureus, although it may also yield positive results for S. argenteus (while negative results are obtained for S. schweitzeri) [9], actually impairing the species specificity of such method.
As also highlighted by other authors [26,27], the development of novel PCR approaches to correctly identify S. aureus and S. argenteus may therefore represent a great asset, in particular to assess the actual prevalence and spreading of S. argenteus [26] and overcome the limitations of the conventional nucA PCR of Brakstad et al. [25].
Among the PCR techniques, real-time PCR with high-resolution melting analysis (rt-PCR-HRM) has the potential to discriminate different bacterial species based on the nucleotide differences in their DNA sequences. In essence, rt-PCR-HRM consists of the melt curve analysis of the DNA fragments obtained through a PCR amplification, typically performed with a HRM-compatible real-time PCR instrument. In particular, it employs a double-stranded nucleic acid-specific fluorescent dye (e.g., LCGreen, EVAGreen, or SYTO9) [28] able to saturate all DNA binding sites during the DNA amplification, with the application of narrow temperature increments during the subsequent melt curve stage. Thereafter, the analysis of the resulting melting data allows the differentiation of the obtained PCR amplicons based on their nucleotide sequence, length, and GC content. Overall, the affordability of reagents, the utilization of instrumentation now found in many laboratories, and the simplicity of the approach constitute the main advantages of the HRM technology [28]. Considering the described scenario, in this study, a novel rt-PCR-HRM approach was developed to simultaneously identify and discriminate S. aureus and S. argenteus, overcoming the limitations of the conventional nucA PCR of Brakstad et al. [25]. To test the validity of the protocol, we carried out the study in two different research facilities (CNR-ISPA, Bari, Italy; and MMARLab, University of Catania, Catania, Italy) with different isolates, DNA extraction methods, and real-time PCR instruments.

2. Materials and Methods

2.1. Reference Strains and Bacterial Isolates

DNA aliquots from 87 foodborne S. aureus, isolated and characterized in previous studies conducted by our group [2,4,29,30], were used at CNR-ISPA (Bari, Italy) to develop the real-time PCR HRM assay (Table 1). Such S. aureus isolates were formerly identified by conventional species-specific PCR utilizing the primer set targeting the 270 bp region of the nucA gene of S. aureus [25]. DNA aliquots of S. aureus (DSM 20231T) and S. argenteus (DSM 28299T) type strains were included in each PCR run to serve as positive controls as well as reference strains for species assignment during the analysis. Moreover, DNA aliquots of a S. schweitzeri-type strain (DSM 28300T) were used during the preliminary stages of the assay development to test the ability of the method to also discriminate S. schweitzeri. DNA aliquots of Listeria (L.) monocytogenes-type strain (DSM 20600T), L. monocytogenes LMG 23191, and Campylobacter curvus LMG 11310 were included as negative controls to assess the absence of any nonspecific amplification.
At the MMARLab (University of Catania, Catania, Italy), 22 clinical S. aureus isolates previously characterized by conventional species-specific molecular methods [31] were further tested (Table 2) to verify the applicability of the developed method. DNA aliquots of S. aureus (ATCC 29213), S. argenteus (DSM 28299T), and S. schweitzeri (DSM 28300T) were included in PCR runs to serve as reference strains. Additionally, one S. argenteus strain (S. argenteus S1 2021, belonging to the MMARLab collection) and seven ATCC coagulase-negative staphylococci (CoNS) (ATCC Microbe products—https://www.atcc.org/) were used as further controls (Table 2).

2.2. Bacterial Growth and DNA Extraction

The bacterial isolates were grown in brain hearth infusion (BHI) broth (Oxoid, Basingstoke, UK) with the addition of 0.6% yeast extract (Biolife Italiana, Milano, Italy), incubated at 37 °C for 24 h. Then, aliquots of broth cultures were used for the DNA extraction.
At ISPA-CNR, the DNA of S. aureus DSM 20231T, S. argenteus DSM 28299T, S. schweitzeri DSM 28300T, L. monocytogenes DSM 20600T, L. monocytogenes LMG 23191, and C. curvus LMG 11310 as well as of 60 S. aureus isolates (Table 1) was extracted using an alcohol-based DNA extraction method referred to as the “classical method”. Briefly, 1 mL broth culture aliquots were centrifuged at 8000 rpm for 10 min, and the resulting bacterial pellets were washed using 1 mL of sterile SSC buffer (0.15 M NaCl and 15 mM sodium citrate, pH 7.00) and 1 mL of TE buffer (10 mM Tris-HCl and 1 mM EDTA, pH 8.00), respectively, and then resuspended with 500 µL of TE buffer. The cell lysis was performed adding lysostaphin (2 mg/mL solution) (Sigma-Aldrich, St. Louis, MO, USA) for Staphylococcus spp. or lysozyme (50 mg/mL solution) (Sigma-Aldrich, St. Louis, MO, USA) for the other species, incubated at 37 °C for 1 h. RNA was degraded by the addition of RNaseA (100 mg/mL solution) (Qiagen, Milan, Italy), followed by incubation at 25 °C for 1h. Then, sodium dodecyl sulfate (25% solution) (Sigma-Aldrich, St. Louis, MO, USA) and proteinase-K (≥800 units/mL solution) (Sigma-Aldrich, St. Louis, MO, USA) were added and incubated at 37 °C for 1.5 h. Proteins were precipitated by addition of Protein Precipitation Solution (Promega Italia, Milan, Italy) followed by centrifugation at 16,000× g for 5 min at 4 °C. After the supernatant recovery, the DNA was precipitated and then washed by two centrifugations at 16,000× g for 10 min at 4 °C, first adding isopropyl alcohol to the supernatant and then adding 70% ethanol solution to the obtained DNA pellet. Finally, the DNA was resuspended in sterilized ultrapure water. The quantity and purity of the extracted DNA was assessed by spectrophotometric method using NanoDrop ND-1000 (Thermo Fisher Scientific, Waltham, MA, USA).
The DNA of another 27 S. aureus isolates (Table 1) was also extracted by a simple boiling method, henceforth referred to as the “rapid method”, using a Chelex-based reagent (InstaGene Matrix, Bio-Rad, Hercules, CA, USA) as reported by Mekhloufi et al. [30]. Briefly, 500 µL broth culture aliquots were centrifuged at 12,000 rpm for 90 s, and the resulting pellet was washed using 1 mL of sterile distilled water. DNA was extracted adding 200 µL of InstaGene Matrix to the bacterial cell pellet following the manufacturer’s instruction.
At the MMARLab, genomic DNA for real-time PCR amplification (Table 2) was extracted using the QIAamp® DNA Mini Kit (cat. No. 51306, Qiagen, Milan, Italy), with some modifications to the manufacturer’s protocol. In brief, bacterial suspensions were centrifuged and resuspended in 200 μL of 0.9% physiological saline solution, and then, they underwent two cycles of freezing and thawing. Following centrifugation, the bacterial pellet was resuspended in 180 µL of an enzyme solution containing 20 mg/mL lysozyme (cat. No. 10837059001, Sigma-Aldrich, Merck KGaA, Darmstadt, Germany) and 100 μg/mL lysostaphin (cat. No. L7386-15MG, Sigma-Aldrich, Merck KGaA, Darmstadt, Germany) in Tris-EDTA (TE) buffer, pH 8.0 (cat. No. AM9849, Ambion, Invitrogen, Waltham, MA, USA). Aside from these adjustments, the manufacturer’s instructions were followed [32]. For ATCC strains, DNA extraction was performed using the Pitcher protocol [33]. DNA quantification was carried out using Quanti-it Assays via fluorimetric analysis on a Qubit 2.0 (Invitrogen—Life Technologies, Waltham, MA, USA), following the manufacturer’s guidelines.

2.3. Primers and Real-Time PCR-HRM Conditions

A pair of primers was designed to amplify a region of the sodA gene encoding the superoxide dismutase (manganese-dependent metalloenzyme) of S. aureus and S. argenteus.
For this purpose, the sodA gene sequences of S. aureus DSM 20231T (accession number: CP011526.1) and S. argenteus NCTC13711T (accession number: UGZA01000002.1), available in GenBank (https://www.ncbi.nlm.nih.gov/genbank/) were aligned using the Clustal Omega program [34] and visualized using Jalview software (v. 2.11.3.2) [35]. The aligned sequences were analyzed to identify a polymorphic region useful for primer design, using the Primer3 software (v. 4.1.0) [36]. In particular, the forward (sodAaur-argF, 5′-TTTGGTTCAGGTTGGGCTTG-3′) and the reverse (sodAaur-argR, 5′-AGGTAATAAGCGTGTTCCCAT-3′) primers were designed to target a 137 bp region of the sodA gene comprising 12 mismatches between the reference sequences, as shown in Figure 1.
At CNR-ISPA, the DNA amplification was performed in the 7500 Fast Real-Time PCR System (Applied Biosystems, Waltham, MA, USA). Amplification data were analyzed using the SDS software (v. 1.4) (Applied Biosystems, Waltham, MA, USA) and HRM analysis of the melting curves was performed using the HRM software (v. 2.0) (Applied Biosystems, Waltham, MA, USA). The PCR reaction mixture was prepared as follows: 10 µL of MeltDoctor™ HRM Master Mix (Applied Biosystems Waltham, MA, USA), 0.2 µM of each primer, 10 ng of DNA extracted using the “classical method”, or 1 µL of DNA extracted using the “rapid method”. Finally, sterilized ultrapure water was added to reach the total volume of 20 µL. No template controls (NTCs) were included in each PCR run, with sterilized ultrapure water used instead of DNA in the reaction mixture, to verify the absence of any nonspecific signals. The DNA was amplified by applying the following thermocycling conditions: initial denaturation at 95 °C for 10 min, 40 cycles of denaturation at 95 °C for 15 s, and annealing/extension at 60 °C for 1 min. In order to obtain the melting curves of the amplification products, a dissociation step was performed by applying the following conditions: denaturation at 95 °C for 15 s, annealing at 60 °C for 1 min, high resolution melting at 95 °C for 15 s, and annealing at 60 °C for 15 s.
The obtained melting curves were analyzed, and the normalized melt curves plot and the difference plot were generated. In particular, both plots were obtained after the normalization of the fluorescence levels by setting the pre-melt and post-melt values on the derivative melt curves in order to scale the signal in the range from 100 (pre-melt) to 0% (post-melt).
To assess the repeatability of the developed rt-PCR-HRM assay, the intra- and inter-assay coefficient of variation (CV%) of the melting temperatures (Tm) of a subset of 19 isolates was analyzed. For this purpose, the DNA of these isolates was tested in triplicate in two independent runs, performed on two different days.
At the MMARLab, further real-time PCR-HRM assays were performed on a Rotor-Gene Q 5plex platform (Qiagen, Milan, Italy) in 10 μL reaction mix including the following: 1X Type-it HRM PCR Kit master mix (Qiagen, Milan, Italy), 0.2 μM of each primer, and 1 μL of template DNA (10 pg/μL). The cycling conditions included a pre-denaturation step of 10 min at 95 °C, 40 annealing cycles for 1 min at 60 °C, and denaturation for 15 s at 95 °C, with the acquisition of fluorescence data on the green channel. The amplimers were subjected to progressive thermal denaturation from 60 °C for 1 min and at 95 °C for 15 s, with a temperature increase of 1.6 °C/s.

2.4. Limit of Detection and Efficiency of the Assay

In order to evaluate the sensitivity of the developed rt-PCR-HRM assay, the limit of detection (LOD) was assessed by testing in triplicate, in a range between 107 and 100 genome equivalents (GE), decimal serial dilutions of the DNA of each reference strain (S. aureus DSM 20231T and S. argenteus DSM 28299T) using the 7500 Fast Real-Time PCR System (Applied Biosystems, Waltham, MA, USA). Specifically, with an estimated genome size of 2.8 Mb [37], the amount of 2.86 fg of DNA was calculated as corresponding to 1 GE for S. aureus and S. argenteus [38]. The LOD was determined as the lowest DNA dilution in which triplicate amplification and concomitant correct species identification occurred.
In order to calculate the efficiency of the developed assay, standard curves were constructed, and slope and R2 values were determined. The assay efficiency (E%) was calculated according to the following formula: [10(−1/slope) − 1] × 100.

3. Results

3.1. HRM Analysis of the Tested Isolates

At ISPA-CNR, for all the S. aureus isolates tested in the rt-PCR-HRM assay (n = 87), the amplification products and the corresponding melting curves were obtained, while no amplifications occurred for the negative controls. Specifically, the mean melting temperatures (Tm) and the corresponding melting curves (derivative melt curves) of the representative subset isolates (n = 19) and reference strains (S. aureus DSM 20231T and S. argenteus DSM 28299T), tested in triplicate and used for the intra- and inter-assay reproducibility, are shown in Table 3 and Figure 2.
The reference strain S. argenteus DSM 28299T exhibited a mean Tm of 75.93 ± 0.03 °C (Table 3), and the reference strain S. aureus DSM 20231T exhibited a mean Tm of 77.22 ± 0.04 (Table 3). The isolates identified as S. aureus showed a mean Tm of 77.28 ± 0.13 °C (Table 3) similar to the reference strain S. aureus DSM 20231T. Thus, the HRM assay displayed a remarkable difference in mean Tm between S. aureus and S. argenteus that was approximately of 1.3 °C.
Furthermore, the behavior of the melting curves observed in the normalized plot (Figure 3) and difference plot (Figure 4) also allowed a clear differentiation of species between S. aureus and S. argenteus. Otherwise, no such clear differentiation was observed for S. schweitzeri, whose mean Tm value and melt curves were very similar to those of S. aureus (Figure S1 and Table S1).
The S. aureus strains whose DNA was extracted by the rapid boiling method and the S. aureus strains whose DNA was extracted by the classical method showed similar mean Tm values of 77.16 ± 0.05 and 77.34 ± 0.11 °C, respectively (Table 3), as well as overlapping melting curve trends in all plots considered (Figure 2, Figure 3 and Figure 4). Thus, the developed method allowed the identification of the isolates independently of the DNA extraction method used.
At the MMARLab, the reference strains of S. argenteus DSM28299T, S. aureus ATCC 29213, and S. schweitzeri DSM20300T were first analyzed by comparing them with the internal control S. argenteus S1 2021 and seven ATCC coagulase-negative staphylococci. It emerged that the melting temperature of S. argenteus DSM28299T and S1 2021 was 77 °C for both strains (Figure 5), while that of S. aureus, S. schweitzeri, and the seven coagulase-negative staphylococci varied between 78.3 °C and 78.5 °C (Figure 5). It allowed rapid identification of S. argenteus from the other tested staphylococcal species, but on the other hand, the HRM analysis, showing peaks at very similar melting temperatures, could not be used to discriminate S. aureus from S. schweitzeri and the other coagulase-negative staphylococcal species.
After acquiring the melting temperatures (Tm) of S. argenteus compared to the other Staphylococcus spp., we proceeded with the analysis of all the S. aureus clinical isolates (including MRSA and MSSA) belonging to several international clones, as shown by their respective STs (Table 2). For this purpose, their respective Tm values were compared with those of S. aureus ATCC 29213 as well as S. argenteus DSM 28299T and S1 2021, which were used as reference control strains. Also, in this case, it was possible to confirm an almost identical Tm of 77.2 °C for both isolates of S. argenteus, whose peaks overlapped and were remarkably distant from those of the entire S. aureus group, with Tm values between 78 and 78.5 °C. Also, the DNA of the ATCC strains extracted with two different methods confirmed the same melting curves (Figure 6).
An unexpected result emerged from the S1 2019 strain, which showed a Tm of 79.2 °C, highlighted by the peak spaced from all the other isolates (Figure 6). This result, which deserves further investigation such as gene sequencing, could represent a variant of the nucleotide sequence of the sodA gene and suggests that it is a different species than S. aureus, which was previously attributed to this isolate. This result also highlights how HRM analysis is significantly more effective in identifying species than other methods, especially phenotypic ones.

3.2. Limit of Detection

The lowest amount of DNA at which the amplification of triplicates occurred with concomitant correct species identification was 10 genome equivalents (GE) for S. aureus (Table 4, Figure S2a) as well as for S. argenteus (Table 4, Figure S3a).

3.3. Standard Curves and Efficiency

The standard curves generated with serially diluted DNA for S. aureus DSM 20231T and S. argenteus DSM 28299T showed an R2 of 0.997 and 0.995 (Figures S2b and S3b), with an amplification efficiency of 103% and 105%, respectively.

4. Discussion

Considering the implications for human and animal health, it is of crucial importance to discriminate and identify S. aureus and S. argenteus in order to (i) know the etiological agent in case of disease; (ii) assess the prevalence of these two microorganisms in humans, animals, as well as in food; and (iii) expand the still-lacking knowledge on the presence and distribution of S. argenteus.
In 2015, a first approach for the identification of S. aureus and S. argenteus was developed by the utilization of the matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) [9], whose discriminatory ability was based on the different cellular peptide/protein profiles exhibited by the two species. Although specific signals have been identified and utilized in various MALDI-TOF MS protocols [39,40], Becker et al. [41] pointed out that some older MALDI-TOF MS databases do not include reference profiles suitable for the species separation, and moreover, some recent versions of commercially available databases are not properly up-to-date. Taking into account such limitations and considering the costs associated with the application of this method, it is desirable to develop novel identification methods, identifying new species-specific markers allowing the S. aureus and S. argenteus discrimination.
In this perspective, DNA-based methods with the amplification of target sequences by PCR represent a valuable option, as these techniques are widely used in diagnostic and research laboratories and are relatively economically affordable, robust, and user friendly [42,43,44].
Amplification by PCR and subsequent sequencing of the 16S rRNA gene is a well-established method for the identification of bacterial species, although it is widely recognized that for genetically closely related species, it is not possible to achieve an accurate species identification, in particular when the percentage of similarity of the 16S rRNA gene nucleotide sequence is higher than 97%, the value used as a threshold for identification at the species level [45].
Specifically, S. aureus and S. argenteus have identical nucleotide sequences of the 16S rRNA gene [9]; therefore, the species identification by its sequencing is not applicable, necessitating different species-specific genetic markers.
As mentioned in the introduction, Brakstad and co-workers [25] developed a PCR protocol in 1992 by designing a pair of species-specific primers (primer 1: 5′-GCGATTGATGGTGATACGGTT-3′ and primer 2: 5′-AGCCAAGCCTTGACGAACTAAAGC-3′) targeting a 270 bp region of the nucA gene of S. aureus [25]. Currently, amplification of this region is widely used as a standard confirmatory marker for the identification of S. aureus [9].
Nevertheless, it was reported by Tong and colleagues [9] that S. argenteus also gives positive results in the PCR for the nucA gene. Specifically, when this assay is performed using aliquots of S. argenteus DNA, it is possible to obtain an amplification product of the same size as that obtained for S. aureus, despite the presence of one and five mismatches at the annealing sites of the forward and reverse primers on the S. argenteus nucA gene, respectively. This impairs the species specificity of the method of Brakstad et al. [25], not allowing, de facto, the accurate identification of these two staphylococcal species.
In this frame, the rt-PCR-HRM herein developed allows to effectively discriminate S. aureus from S. argenteus. Nevertheless, our method proved unable to differentiate S. schweitzeri, and coagulase-negative staphylococci, from S. aureus.
For this reason, a two-step approach is proposed to overcome such limitations: First, isolates should be screened by the PCR of Brakstad et al. [25], which gives negative results for S. schweitzeri and coagulase-negative staphylococci [9,25]; then, isolates that give positive results upon the PCR of Brakstad et al. [25] could be accurately identified and discriminated as S. aureus or S. argenteus by the rt-PCR-HRM of the sodA gene developed herein.
Importantly, an immediate application of such method, which will benefit the scientific community, is the possibility to screen the various S. aureus collections hosted in different research and clinical centers and already identified by the standard PCR of Brakstad et al. [25], allowing the correct identification of S. aureus and S. argenteus.
Interestingly, rt-PCR-HRM protocols have recently been developed to identify genotypically closely related bacteria. Landolt et al. [46] developed an rt-PCR-HRM assay to identify species within the Mycobacterium tuberculosis complex. Specifically, the application of the method, based on the gyrB gene polymorphism, allowed the identification of 63 isolates as belonging to Mycobacterium (M.) tuberculosis, M. microti, and M. bovis/M. caprae species. An rt-PCR-HRM assay was also developed for the identification of 11 species within the genus Staphylococcus [47], but this method targeted a region of the 16S rRNA gene which, therefore, cannot be used for the differentiation of S. aureus and S. argenteus.
Considering the primary objective of this study to clearly discriminate and identify S. aureus and S. argenteus, the polymorphic sequence of the sodA gene (coding for the superoxide dismutase enzyme) that was previously used, through its sequencing, for the identification of species within the Streptococcus and Enterococcus genera as well as for the identification of coagulase-negative staphylococci [48] was also found to be a useful genetic marker for the differentiation of the two pathogenic species herein considered.
In particular, the alignment of the nucleotide sequences of the sodA genes harbored by the type strains of S. aureus and S. argenteus showed, among the others, 12 closely located mismatches, allowing the design of a primer pair flanking this polymorphic region to obtain an amplification product of 137 bp. It should be emphasized that the amplification product of an rt-PCR-HRM assay should ideally not exceed the size of 150 bp, as longer amplicons could negatively affect the quality of the melting curves and the resolution of the developed method [46].
Owing to the optimal size and the presence of numerous mismatches, the obtained amplicons for S. aureus and S. argenteus showed highly dissimilar mean Tm values, with a difference of approximately 1.3 °C (as shown in the intra- and inter-assay reproducibility test), as well as clearly distinguishable shapes of their respective melting curves, as observed especially in the normalized and difference plots, confirming the ability of our assay to clearly discriminate between the two considered bacterial species.
The limit of detection of 10 GE for both S. aureus and S. argenteus indicates the good analytical sensitivity of the developed method, and in addition, the low coefficient of variation values (CV%), obtained for the intra- and inter-assays demonstrate the good reproducibility of the assay. The latter, observed independently of the method used for DNA extraction of the tested isolates, constitutes an advantageous attribute of robustness and user friendliness of the method, which will be useful for its future applications.

5. Conclusions

In this paper, a two-step approach based on the application of the nucA PCR of Brakstad et al. [25] and the subsequent utilization of the novel real-time PCR with high-resolution melting analysis targeting a variable region of the sodA gene is proposed to allow the simultaneous differentiation and identification of S. aureus and S. argenteus, overcoming the limitations of the sole nucA PCR [25] widely used so far as reference standard for S. aureus identification.
The good sensitivity, excellent reproducibility, user friendliness, and relative cost effectiveness of the assay are advantageous attributes that will allow not only its easy employment to correctly identify the isolates that are present in the various collections of S. aureus but also confirm the identity of the microorganism in case of disease outbreaks as well as expand, in general, the still-lacking knowledge on the prevalence and distribution of S. argenteus, whose increasing relevance as an emerging pathogen is being reported [14].

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/foods13183004/s1, Figure S1: Derivative melt curves (a), normalized melt curves (b), and difference plot (c) generated by HRM analysis of the amplification products obtained for S. aureus DSM 20231T (red), S. argenteus DSM 28299T (green), and S. schweitzeri DSM 28300T (blue) tested in triplicate within an intra-assay reproducibility test. Table S1: Mean melting temperatures (Tm) ± standard deviation (SD) and corresponding coefficients of variation (CV%) for S. argenteus DSM 28299T, S. aureus DSM 20231T, and S. schweitzeri DSM 28300T tested in triplicate within an intra-assay reproducibility test. Figure S2: Amplification curves (a) and standard curve (b) of serial decimal dilutions (107 to 101 GE) of S. aureus DSM 20231T DNA. Figure S3: Amplification curves (a) and standard curve (b) of serial decimal dilutions (107 to 101 GE) of S. argenteus DSM 28299T DNA.

Author Contributions

Conceptualization, V.F.; Methodology, V.F.; Formal analysis, D.C., D.B. and F.C.; Investigation, D.C., D.B. and F.C.; Data curation, V.F.; Writing—original draft, D.C., D.B. and F.C.; Writing—review & editing, D.C., D.B., A.L., F.C. and V.F.; Supervision, V.F.; Funding acquisition, V.F. and F.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partially funded by MUR PNRR Extended Partnership Initiative on Emerging Infectious Diseases (project no. PE00000007, INF-ACT).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

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

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Licitra, G. Etymologia: Staphylococcus. Emerg. Infect. Dis. 2013, 19, 1553. [Google Scholar] [CrossRef]
  2. Fusco, V.; Quero, G.M.; Morea, M.; Blaiotta, G.; Visconti, A. Rapid and reliable identification of Staphylococcus aureus harbouring the enterotoxin gene cluster (egc) and quantitative detection in raw milk by real time PCR. Int. J. Food Microbiol. 2011, 144, 528–537. [Google Scholar] [CrossRef] [PubMed]
  3. Tong, S.Y.; Davis, J.S.; Eichenberger, E.; Holland, T.L.; Fowler, V.G., Jr. Staphylococcus aureus infections: Epidemiology, pathophysiology, clinical manifestations, and management. Clin. Microbiol. Rev. 2015, 28, 603–661. [Google Scholar] [CrossRef] [PubMed]
  4. Chieffi, D.; Fanelli, F.; Cho, G.S.; Schubert, J.; Blaiotta, G.; Franz, C.M.A.P.; Bania, J.; Fusco, V. Novel insights into the enterotoxigenic potential and genomic background of Staphylococcus aureus isolated from raw milk. Food Microbiol. 2020, 90, 103482. [Google Scholar] [CrossRef] [PubMed]
  5. Dicks, J.; Turnbull, J.D.; Russell, J.; Parkhill, J.; Alexander, S. Genome sequencing of a historic Staphylococcus aureus collection reveals new enterotoxin genes and sheds light on the evolution and genomic organization of this key virulence gene family. J. Bacteriol. 2021, 203, e00587-20. [Google Scholar] [CrossRef]
  6. Fanelli, F.; Chieffi, D.; Cho, G.S.; Schubert, J.; Mekhloufi, O.A.; Bania, J.; Franz, C.M.A.P.; Fusco, V. First genome-based characterisation and staphylococcal enterotoxin production ability of methicillin-susceptible and methicillin-resistant Staphylococcus aureus strains isolated from ready-to-eat foods in Algiers (Algeria). Toxins 2022, 14, 731. [Google Scholar] [CrossRef]
  7. Hennekinne, J.A.; Ostyn, A.; Guillier, F.; Herbin, S.; Prufer, A.L.; Dragacci, S. How should staphylococcal food poisoning outbreaks be characterized? Toxins 2010, 2, 2106–2116. [Google Scholar] [CrossRef]
  8. Seo, K.S.; Bohach, G.A. Staphylococcal Food Poisoning. In Pathogens and Toxins in Foods; Juneja, V.K., Sofos, J.N., Eds.; ASM Press: Washington, DC, USA, 2009. [Google Scholar] [CrossRef]
  9. Tong, S.Y.C.; Schaumburg, F.; Ellington, M.J.; Corander, J.; Pichon, B.; Leendertz, F.; Bentley, S.D.; Parkhill, J.; Holt, D.C.; Peterset, G.; et al. Novel staphylococcal species that form part of a Staphylococcus aureus-related complex: The non-pigmented Staphylococcus argenteus sp. nov. and the non-human primate-associated Staphylococcus schweitzeri sp. nov. Int. J. Syst. Evol. Microbiol. 2015, 65, 15–22. [Google Scholar] [CrossRef]
  10. Chew, K.L.; Octavia, S.; Lai, D.; Lin, R.T.P.; Teo, J.W.P. Staphylococcus singaporensis sp. nov., a new member of the Staphylococcus aureus complex, isolated from human clinical specimens. Int. J. Syst. Evol. Microbiol. 2021, 71, 005067. [Google Scholar] [CrossRef]
  11. Schutte, A.H.J.; Strepis, N.; Zandijk, W.H.A.; Bexkens, M.L.; Bode, L.G.M.; Klaassen, C.H.W. Characterization of Staphylococcus roterodami sp. nov., a new species within the Staphylococcus aureus complex isolated from a human foot infection. Int. J. Syst. Evol. Microbiol. 2021, 71, 004996. [Google Scholar] [CrossRef]
  12. Monecke, S.; Schaumburg, F.; Shittu, A.O.; Schwarz, S.; Mühldorfer, K.; Brandt, C.; Braun, S.D.; Collatz, M.; Diezel, C.; Gawlik, D.; et al. Description of staphylococcal strains from straw-coloured fruit bat (Eidolon helvum) and diamond firetail (Stagonopleura guttata) and a review of their phylogenetic relationships to other staphylococci. Front. Cell. Infect. Microbiol. 2022, 12, 878137. [Google Scholar] [CrossRef] [PubMed]
  13. Chieffi, D.; Fanelli, F.; Fusco, V. Antimicrobial and biocide resistance in Staphylococcus aureus: Genomic features, decontamination strategies, and the role of S. aureus complex-related species, with a focus on ready-to-eat food and food-contact surfaces. Front. Food Sci. Technol. 2023, 3, 1165871. [Google Scholar] [CrossRef]
  14. Fusco, V.; Chieffi, D.; Fanelli, F.; Logrieco, A.F.; Cho, G.-S.; Kabisch, J.; Böhnlein, C.; Franz, C.M.A.P. Microbial quality and safety of milk and milk products in the 21st century. Comp. Rev. Food Sci. Food Saf. 2020, 19, 2013–2049. [Google Scholar] [CrossRef] [PubMed]
  15. Chantratita, N.; Wikraiphat, C.; Tandhavanant, S.; Wongsuvan, G.; Ariyaprasert, P.; Suntornsut, P.; Thaipadungpanit, J.; Teerawattanasook, N.; Jutrakul, Y.; Srisurat, N.; et al. Comparison of community-onset Staphylococcus argenteus and Staphylococcus aureus sepsis in Thailand: A prospective multicentre observational study. Clin. Microbiol. Infect. 2016, 22, e11–e19. [Google Scholar] [CrossRef] [PubMed]
  16. Jiang, B.; You, B.; Tan, L.; Yu, S.; Li, H.; Bai, G.; Li, S.; Rao, X.; Xie, Z.; Shi, X.; et al. Clinical Staphylococcus argenteus develops to small colony variants to promote persistent infection. Front. Microbiol. 2018, 9, 1347. [Google Scholar] [CrossRef]
  17. Ohnishi, T.; Shinjoh, M.; Ohara, H.; Kawai, T.; Kamimaki, I.; Mizushima, R.; Kamada, K.; Itakura, Y.; Iguchi, S.; Uzawa, Y.; et al. Purulent lymphadenitis caused by Staphylococcus argenteus, representing the first Japanese case of Staphylococcus argenteus (multilocus sequence type 2250) infection in a 12-year-old boy. J. Infect. Chemother. 2018, 24, 925–927. [Google Scholar] [CrossRef]
  18. Hirai, J.; Suzuki, H.; Sakanashi, D.; Kuge, Y.; Kishino, T.; Asai, N.; Hagihara, M.; Mikamo, H. The first case report of community-acquired infective endocarditis due to sequence type 1223 Staphylococcus argenteus complicated with convexity subarachnoid hemorrhage. Infect. Drug Resist. 2022, 15, 4963–4970. [Google Scholar] [CrossRef]
  19. Indrawattana, N.; Pumipuntu, N.; Suriyakhun, N.; Jangsangthong, A.; Kulpeanprasit, S.; Chantratita, N.; Sookrung, N.; Chaicumpa, W.; Buranasinsup, S. Staphylococcus argenteus from rabbits in Thailand. MicrobiologyOpen 2019, 8, e00665. [Google Scholar] [CrossRef]
  20. Pumipuntu, N.; Tunyong, W.; Chantratita, N.; Diraphat, P.; Pumirat, P.; Sookrung, N.; Chaicumpa, W.; Indrawattana, N. Staphylococcus spp. associated with subclinical bovine mastitis in central and northeast provinces of Thailand. PeerJ 2019, 7, e6587. [Google Scholar] [CrossRef]
  21. Meijer, E.F.J.; van Renssen, A.; Maat, I.; van der Graaf-van Bloois, L.; Duim, B.; Broens, E.M. Canine Staphylococcus argenteus: Case report from The Netherlands. Pathogens 2022, 11, 153. [Google Scholar] [CrossRef]
  22. Suzuki, Y.; Kubota, H.; Ono, H.K.; Kobayashi, M.; Murauchi, K.; Kato, R.; Hirai, A.; Sadamasu, K. Food poisoning outbreak in Tokyo, Japan caused by Staphylococcus argenteus. Int. J. Food Microbiol. 2017, 262, 31–37. [Google Scholar] [CrossRef] [PubMed]
  23. Wakabayashi, Y.; Umeda, K.; Yonogi, S.; Nakamura, H.; Yamamoto, K.; Kumeda, Y.; Kawatsu, K. Staphylococcal food poisoning caused by Staphylococcus argenteus harboring staphylococcal enterotoxin genes. Int. J. Food Microbiol. 2018, 265, 23–29. [Google Scholar] [CrossRef] [PubMed]
  24. Cavaiuolo, M.; Lefebvre, D.; Mutel, I.; Vingadassalon, N.; Merda, D.; Hennekinne, J.A.; Nia, Y. First report of enterotoxigenic Staphylococcus argenteus as a foodborne pathogen. Int. J. Food Microbiol. 2023, 394, 110182. [Google Scholar] [CrossRef] [PubMed]
  25. Brakstad, O.G.; Aasbakk, K.; Maeland, J.A. Detection of Staphylococcus aureus by polymerase chain reaction amplification of the nuc gene. J. Clin. Microbiol. 1992, 30, 1654–1660. [Google Scholar] [CrossRef] [PubMed]
  26. Kaden, R.; Engstrand, L.; Rautelin, H.; Johansson, C. Which methods are appropriate for the detection of Staphylococcus argenteus and is it worthwhile to distinguish S. argenteus from S. aureus? Infect. Drug Resist. 2018, 11, 2335–2344. [Google Scholar] [CrossRef]
  27. Ata, Z.; Buyukcangaz, E. A 13-Plex PCR for high-resolution melting-based screening of clinically important Staphylococcus species in animals. J. Microbiol. Methods 2019, 164, 105673. [Google Scholar] [CrossRef]
  28. Tong, S.Y.; Giffard, P.M. Microbiological applications of high-resolution melting analysis. J. Clin. Microbiol. 2012, 50, 3418–3421. [Google Scholar] [CrossRef]
  29. Blaiotta, G.; Fusco, V.; von Eiff, C.; Villani, F.; Becker, K. Biotyping of enterotoxigenic Staphylococcus aureus by enterotoxin gene cluster (egc) polymorphism and spa typing analyses. Appl. Environ. Microbiol. 2006, 72, 6117–6123. [Google Scholar] [CrossRef]
  30. Mekhloufi, O.A.; Chieffi, D.; Hammoudi, A.; Bensefia, S.A.; Fanelli, F.; Fusco, V. Prevalence, Enterotoxigenic Potential and Antimicrobial Resistance of Staphylococcus aureus and Methicillin-Resistant Staphylococcus aureus (MRSA) Isolated from Algerian Ready to Eat Foods. Toxins 2021, 13, 835. [Google Scholar] [CrossRef]
  31. Campanile, F.; Bongiorno, D.; Perez, M.; Mongelli, G.; Sessa, L.; Benvenuto, S.; Gona, F. AMCLI–S. aureus Survey Participants; Varaldo, P.E.; Stefani, S. Epidemiology of Staphylococcus aureus in Italy: First nationwide survey, 2012. J. Glob. Antimicrob. Resist. 2015, 3, 247–254. [Google Scholar] [CrossRef]
  32. Bongiorno, D.; Musso, N.; Caruso, G.; Lazzaro, L.M.; Caraci, F.; Stefani, S.; Campanile, F. Staphylococcus aureus ST228 and ST239 as models for expression studies of diverse markers during osteoblast infection and persistence. Microbiologyopen 2021, 10, e1178. [Google Scholar] [CrossRef] [PubMed]
  33. Pitcher, D.G.; Fry, N.K. Molecular techniques for the detection and identification of new bacterial pathogens. J Infect. 2000, 40, 116–120. [Google Scholar] [CrossRef] [PubMed]
  34. Madeira, F.; Pearce, M.; Tivey, A.R.N.; Basutkar, P.; Lee, J.; Edbali, O.; Madhusoodanan, N.; Kolesnikov, A.; Lopez, R. Search and sequence analysis tools services from EMBL-EBI in 2022. Nucleic Acids Res. 2022, 50, W276–W279. [Google Scholar] [CrossRef] [PubMed]
  35. Waterhouse, A.M.; Procter, J.B.; Martin, D.M.; Clamp, M.; Barton, G.J. Jalview Version 2—A multiple sequence alignment editor and analysis workbench. Bioinformatics 2009, 25, 1189–1191. [Google Scholar] [CrossRef] [PubMed]
  36. Untergasser, A.; Cutcutache, I.; Koressaar, T.; Ye, J.; Faircloth, B.C.; Remm, M.; Rozen, S.G. Primer3--new capabilities and interfaces. Nucleic Acids Res. 2012, 40, e115. [Google Scholar] [CrossRef]
  37. Zhang, D.F.; Zhi, X.Y.; Zhang, J.; Paoli, G.C.; Cui, Y.; Shi, C.; Shi, X. Preliminary comparative genomics revealed pathogenic potential and international spread of Staphylococcus argenteus. BMC Genom. 2017, 18, 808. [Google Scholar] [CrossRef]
  38. Doležel, J.; Bartos, J.; Voglmayr, H.; Greilhuber, J. Nuclear DNA content and genome size of trout and human. Cytometry. Part A J. Int. Soc. Anal. Cytol. 2003, 51, 127–129. [Google Scholar] [CrossRef]
  39. Schuster, D.; Rickmeyer, J.; Gajdiss, M.; Thye, T.; Lorenzen, S.; Reif, M.; Josten, M.; Szekat, C.; Melo, L.D.R.; Schmithausen, R.M.; et al. Differentiation of Staphylococcus argenteus (formerly: Staphylococcus aureus clonal complex 75) by mass spectrometry from S. aureus using the first strain isolated from a wild African great ape. Int. J. Med. Microbiol. 2017, 307, 57–63. [Google Scholar] [CrossRef]
  40. Chen, S.Y.; Lee, H.; Wang, X.M.; Lee, T.F.; Liao, C.H.; Teng, L.J.; Hsueh, P.R. High mortality impact of Staphylococcus argenteus on patients with community-onset staphylococcal bacteraemia. Int. J. Antimicrob. Agents 2018, 52, 747–753. [Google Scholar] [CrossRef]
  41. Becker, K.; Schaumburg, F.; Kearns, A.; Larsen, A.R.; Lindsay, J.A.; Skov, R.L.; Westh, H. Implications of identifying the recently defined members of the Staphylococcus aureus complex S. argenteus and S. schweitzeri: A position paper of members of the ESCMID Study Group for Staphylococci and Staphylococcal Diseases (ESGS). Clin. Microbiol. Infect. 2019, 25, 1064–1070. [Google Scholar] [CrossRef]
  42. Harshitha, R.; Arunraj, D.R. Real-time quantitative PCR: A tool for absolute and relative quantification. Biochem. Mol. Biol. Educ. 2021, 49, 800–812. [Google Scholar] [CrossRef] [PubMed]
  43. Green, M.R.; Sambrook, J. Polymerase Chain Reaction. Cold Spring Harb. Protoc. 2019, 158, 1154–1157. [Google Scholar] [CrossRef] [PubMed]
  44. Fusco, V.; Quero, G.M. Culture-dependent and -independent nucleic acid-based methods used in the microbial safety assessment of milk and dairy products. Compr. Rev. Food Sci. Food Saf. 2014, 13, 493–537. [Google Scholar] [CrossRef] [PubMed]
  45. Fusco, V.; Fanelli, F.; Chieffi, D. Authenticity of probiotic foods and dietary supplements: A pivotal issue to address. Crit. Rev. Food Sci. Nutr. 2022, 62, 6854–6871. [Google Scholar] [CrossRef]
  46. Landolt, P.; Stephan, R.; Scherrer, S. Development of a new High Resolution Melting (HRM) assay for identification and differentiation of Mycobacterium tuberculosis complex samples. Sci. Rep. 2019, 9, 1850. [Google Scholar] [CrossRef]
  47. Slany, M.; Vanerkova, M.; Nemcova, E.; Zaloudikova, B.; Ruzicka, F.; Freiberger, T. Differentiation of Staphylococcus spp. by high-resolution melting analysis. Can. J. Microbiol. 2010, 56, 1040–1049. [Google Scholar] [CrossRef]
  48. Poyart, C.; Quesne, G.; Boumaila, C.; Trieu-Cuot, P. Rapid and accurate species level identification of coagulase-negative staphylococci by using the sodA gene as a target. J. Clin. Microbiol. 2001, 39, 4296–4301. [Google Scholar] [CrossRef]
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Figure 1. Alignment of the sodA genes of S. aureus DSM 20231T and S. argenteus NCTC 13711T, obtained by Clustal Omega [34] and visualized in Jalview [35]. Highlighted in yellow are the annealing sites of the forward primer sodAaur-argF (5′-TTTGGTTCAGGTTGGGCTTG-3′) and the reverse primer sodAaur-argR (5′-AGGTAATAAGCGTGTTCCCAT-3′).
Figure 1. Alignment of the sodA genes of S. aureus DSM 20231T and S. argenteus NCTC 13711T, obtained by Clustal Omega [34] and visualized in Jalview [35]. Highlighted in yellow are the annealing sites of the forward primer sodAaur-argF (5′-TTTGGTTCAGGTTGGGCTTG-3′) and the reverse primer sodAaur-argR (5′-AGGTAATAAGCGTGTTCCCAT-3′).
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Figure 2. Derivative melt curves generated by HRM analysis of the amplification products of 19 representative isolates tested in triplicate within one intra-assay reproducibility test. In red are shown the derivative melt curves of strains identified as S. aureus and the reference strain S. aureus DSM 20231T; in green are shown the derivative melt curves of the reference strain S. argenteus DSM 28299T (ISPA-CNR).
Figure 2. Derivative melt curves generated by HRM analysis of the amplification products of 19 representative isolates tested in triplicate within one intra-assay reproducibility test. In red are shown the derivative melt curves of strains identified as S. aureus and the reference strain S. aureus DSM 20231T; in green are shown the derivative melt curves of the reference strain S. argenteus DSM 28299T (ISPA-CNR).
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Figure 3. Normalized melt curves generated by HRM analysis of the amplification products of 19 representative isolates tested in triplicate within one intra-assay reproducibility test. In red are shown the normalized melt curves of strains identified as S. aureus and the reference strain S. aureus DSM 20231T; in green are shown the normalized melt curves of the reference strain S. argenteus DSM 28299T (ISPA-CNR).
Figure 3. Normalized melt curves generated by HRM analysis of the amplification products of 19 representative isolates tested in triplicate within one intra-assay reproducibility test. In red are shown the normalized melt curves of strains identified as S. aureus and the reference strain S. aureus DSM 20231T; in green are shown the normalized melt curves of the reference strain S. argenteus DSM 28299T (ISPA-CNR).
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Figure 4. Difference plot generated by HRM analysis of the amplification products of 19 representative isolates tested in triplicate within one intra-assay reproducibility test. In red are shown the melt curves of strains identified as S. aureus and the reference strain S. aureus DSM 20231T; in green are shown the melt curves of the reference strain S. argenteus DSM 28299T (ISPA-CNR).
Figure 4. Difference plot generated by HRM analysis of the amplification products of 19 representative isolates tested in triplicate within one intra-assay reproducibility test. In red are shown the melt curves of strains identified as S. aureus and the reference strain S. aureus DSM 20231T; in green are shown the melt curves of the reference strain S. argenteus DSM 28299T (ISPA-CNR).
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Figure 5. Derivative melt curves generated by HRM analysis of the amplification products of 11 representative Staphylococcus spp. isolates tested in triplicate within one intra-assay reproducibility test. The red line shows the average melting temperature (Tm) of strains identified as S. aureus and CoNSA; in blue are the average melting temperature (Tm) values of the reference strain S. argenteus DSM 28299T and internal control S. argenteus S1 2021 (MMARLab).
Figure 5. Derivative melt curves generated by HRM analysis of the amplification products of 11 representative Staphylococcus spp. isolates tested in triplicate within one intra-assay reproducibility test. The red line shows the average melting temperature (Tm) of strains identified as S. aureus and CoNSA; in blue are the average melting temperature (Tm) values of the reference strain S. argenteus DSM 28299T and internal control S. argenteus S1 2021 (MMARLab).
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Figure 6. Derivative melt curves generated by HRM analysis of the amplification products of 22 S. aureus and 2 S. argenteus isolates tested in triplicate within one intra-assay reproducibility test. The red/pink lines show the average melting temperatures (Tm) of strains identified as S. aureus; the blue line shows the average melting temperature (Tm) of the reference strain S. argenteus DSM 28299T and internal control S. argenteus S1 2021; the yellow line shows the Tm of the S1 2019 strain previously misidentified as S. aureus (MMARLab).
Figure 6. Derivative melt curves generated by HRM analysis of the amplification products of 22 S. aureus and 2 S. argenteus isolates tested in triplicate within one intra-assay reproducibility test. The red/pink lines show the average melting temperatures (Tm) of strains identified as S. aureus; the blue line shows the average melting temperature (Tm) of the reference strain S. argenteus DSM 28299T and internal control S. argenteus S1 2021; the yellow line shows the Tm of the S1 2019 strain previously misidentified as S. aureus (MMARLab).
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Table 1. Eighty-seven foodborne S. aureus isolates used in this study to develop the rt-PCR-HRM assay at CNR-ISPA, Bari, Italy.
Table 1. Eighty-seven foodborne S. aureus isolates used in this study to develop the rt-PCR-HRM assay at CNR-ISPA, Bari, Italy.
IsolateOriginIsolateOriginIsolateOrigin
178P aRaw milk363P aRaw milkSA23 bMinced meat
179P aRaw milk372P aRaw milkSA33 bMashed potatoes
180P aRaw milk364P aRaw milkSA43 bRice
181P aRaw milk365P aRaw milkSA44 bSalad
182P aRaw milk366P aRaw milkSA50 bSalad
183P aRaw milk236P aRaw milkSA53 bMinced meat
184P aRaw milk237P aRaw milkSA54 bBeet salad
185P aRaw milk238P aRaw milkSA58 bMeat
186P aRaw milk239P aRaw milkSA73 bSalad
187P aRaw milk240P aRaw milkSA78 bLentil soup
188P aRaw milk241P aRaw milkSA83 bBeans
189P aRaw milk242P aRaw milkSA84 bChicken
190P aRaw milk243P aRaw milkSA86 bSausages
191P aRaw milk244P aRaw milkSA87 bPastry
192P aRaw milk367P aRaw milkSA03 bSalad
193P aRaw milk373P aRaw milkSA04 bMeat
194P aRaw milk374P aRaw milkSA09 bPastry
195P aRaw milk200P aRaw milkSA29 bMeat
196P aRaw milk201P aRaw milkSA31 bSalad
197P aRaw milk211P aRaw milkSA72 bPastry
198P aRaw milk212P aRaw milkSA17 bTurkey pieces
199P aRaw milk213P aRaw milkSA46 bBraised beef
356P aRaw milk214P aRaw milkATCC 27664 (FRI326) aChicken tetrazzini
357P aRaw milk234P aRaw milkBS4 a“Napoli-type” salami
358P aRaw milkSA01 bPotato in sauceDS18g a“Napoli-type” salami
359P aRaw milkSA06 bChickenAS14g a“Napoli-type” salami
360P aRaw milkSA11 bCouscous with meat382F aUnspecified food
361P aRaw milkSA13 bRiceED-4 aRaw poultry meat
362P aRaw milkSA41 bSaladAB-8802 aRaw poultry meat
a DNA extracted using the “classical method” (alcohol-based); isolates reported in Chieffi et al. [4], Fusco et al. [2], and Blaiotta et al. [29]. b DNA extracted using the “rapid method” (boiling in presence of a Chelex-based reagent); isolates reported in Mekhloufi et al. [30].
Table 2. Twenty-two clinical S. aureus, one S. argenteus isolate, and seven CoNS used in this study to verify the applicability of the developed rt-PCR-HRM assay at MMARLab (Catania, Italy).
Table 2. Twenty-two clinical S. aureus, one S. argenteus isolate, and seven CoNS used in this study to verify the applicability of the developed rt-PCR-HRM assay at MMARLab (Catania, Italy).
IsolateSpeciesMSSA/MRSAST
S1 2021S. argenteus--
ATCC 29213S. aureusMSSA-
ATCC BAA-1556 (USA300)S. aureusMRSA8
ATCC BAA-1707 (MW2/USA400)S. aureusMRSA1
NRS385 (USA500)S. aureusMRSA8
ATCC 700699 (MU50)S. aureusMRSA5
NR-45906 (COL)S. aureusMRSA250
ATCC BAA-44 (HPV107)S. aureusMRSA247
CAUDS. aureusMRSA88
ATCC BAA 2312-M10/0148S. aureusMRSA130
HU25 (BEC)S. aureusMRSA239
S2 2017S. aureusMRSA111
S6 2017S. aureusMRSA398
S1 2018S. aureusMRSA30
S4 2018S. aureusMRSA93
S5 2018S. aureusMRSA2361
S1 2019S. aureusMRSA8
S5 2019S. aureusMSSA398
S2 2021S. aureusMRSA22
S3 2021S. aureusMRSA398
S1 2022S. aureusMRSA121
S2 2022S. aureusMSSA1
S3 2022S. aureusMSSA152
ATCC 29971S. xylosus--
ATCC 27847S. hominis--
ATCC 14990S. epidermidis--
ATCC 27848S. simulans--
ATCC 49052S. intermedius--
ATCC 29970S. haemolyticus--
ATCC 27840S. capitis--
ST—sequence type.
Table 3. Mean melting temperatures (Tm) ± standard deviation (SD) and corresponding coefficients of variation (CV%) for 19 representative subset isolates tested in triplicate, in two independent runs performed on two different days, within the intra- and inter-assay reproducibility test.
Table 3. Mean melting temperatures (Tm) ± standard deviation (SD) and corresponding coefficients of variation (CV%) for 19 representative subset isolates tested in triplicate, in two independent runs performed on two different days, within the intra- and inter-assay reproducibility test.
SamplesRun 1Run 2Inter-Assay
Tm ± SD cCV%Tm ± SD cCV%Tm ± SD cCV%
Reference Strains
S. argenteus DSM 28299T75.94 ± 0.020.0375.92 ± 0.040.0575.93 ± 0.030.04
S. aureus DSM 20231T77.24 ± 0.020.0277.20 ± 0.040.0577.22 ± 0.040.05
Isolates
S. aureus (n = 13) a77.44 ± 0.050.0677.25 ± 0.040.0577.34 ± 0.110.14
S. aureus (n = 6) b77.12 ± 0.030.0577.20 ± 0.030.0477.16 ± 0.050.07
TOT S. aureus (n = 19) a,b77.34 ± 0.160.2177.23 ± 0.040.0577.28 ± 0.130.17
a DNA extracted by “classical method” (alcohol-based DNA extraction). b DNA extracted by “rapid method” (DNA extraction by boiling in presence of a Chelex-based reagent). c Standard deviation.
Table 4. Limit of detection of the real-time PCR HRM tested during the assay development in the 7500 Fast Real-Time PCR System (Applied Biosystems, Waltham, MA, USA).
Table 4. Limit of detection of the real-time PCR HRM tested during the assay development in the 7500 Fast Real-Time PCR System (Applied Biosystems, Waltham, MA, USA).
Reference StrainsGenome EquivalentsCt aSD b
S. argenteus DSM 28299T10715.200.17
10617.440.07
10520.440.08
10423.610.13
10327.180.07
10230.850.18
10133.970.17
S. aureus DSM 20231T10715.590.30
10617.930.07
10521.180.04
10424.390.22
10327.900.19
10231.440.17
10134.720.09
a Threshold cycle. b Standard deviation.
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Chieffi, D.; Bongiorno, D.; Licitra, A.; Campanile, F.; Fusco, V. A Novel Approach Based on Real-Time PCR with High-Resolution Melting Analysis for the Simultaneous Identification of Staphylococcus aureus and Staphylococcus argenteus. Foods 2024, 13, 3004. https://doi.org/10.3390/foods13183004

AMA Style

Chieffi D, Bongiorno D, Licitra A, Campanile F, Fusco V. A Novel Approach Based on Real-Time PCR with High-Resolution Melting Analysis for the Simultaneous Identification of Staphylococcus aureus and Staphylococcus argenteus. Foods. 2024; 13(18):3004. https://doi.org/10.3390/foods13183004

Chicago/Turabian Style

Chieffi, Daniele, Dafne Bongiorno, Anna Licitra, Floriana Campanile, and Vincenzina Fusco. 2024. "A Novel Approach Based on Real-Time PCR with High-Resolution Melting Analysis for the Simultaneous Identification of Staphylococcus aureus and Staphylococcus argenteus" Foods 13, no. 18: 3004. https://doi.org/10.3390/foods13183004

APA Style

Chieffi, D., Bongiorno, D., Licitra, A., Campanile, F., & Fusco, V. (2024). A Novel Approach Based on Real-Time PCR with High-Resolution Melting Analysis for the Simultaneous Identification of Staphylococcus aureus and Staphylococcus argenteus. Foods, 13(18), 3004. https://doi.org/10.3390/foods13183004

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