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Article

Virulence Profiling, Multidrug Resistance and Molecular Mechanisms of Campylobacter Strains from Chicken Carcasses in Tunisia

by
Awatef Béjaoui
1,*,
Manel Gharbi
1,
Sarra Bitri
1,
Dorsaf Nasraoui
1,
Wassim Ben Aziza
1,
Kais Ghedira
2,
Maryem Rfaik
1,
Linda Marzougui
1,
Abdeljelil Ghram
1 and
Abderrazek Maaroufi
1
1
Laboratory of Epidemiology and Veterinary Microbiology, Group of Bacteriology and Biotechnology Development, Institut Pasteur de Tunis, University of Tunis El Manar (UTM), Tunis 1002, Tunisia
2
Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, University of Tunis El Manar (UTM), Tunis 1002, Tunisia
*
Author to whom correspondence should be addressed.
Antibiotics 2022, 11(7), 830; https://doi.org/10.3390/antibiotics11070830
Submission received: 12 May 2022 / Revised: 14 June 2022 / Accepted: 17 June 2022 / Published: 21 June 2022
(This article belongs to the Special Issue Arcobacteraceae and Campylobacteraceae: Prevalence, Virulence and Antibiotics Resistance)
Review Reports Versions Notes

Abstract

:
Antibiotic resistance in foodborne pathogens is an emergent global health concern. The objectives of this study were to assess antimicrobial resistance (AMR) in Campylobacter isolates from chicken carcasses and to investigate the AMR molecular mechanisms as well as the presence of virulence determinants. The study was performed on 257 samples collected from abattoirs and retail shops in northeastern Tunisia. Forty-eight Campylobacter isolates were recovered and identified as C. jejuni (n = 33) and C. coli (n = 15). Antibiotic resistance was tested against eight antibiotics and high resistance rates were observed against tetracycline (100%), erythromycin (97.9%), ciprofloxacin (73%), nalidixic acid (85.4%), ampicillin (83.3%), amoxicillin/clavulanic acid (22.9%), chloramphenicol (75%), and gentamicin (27.1%). All isolates were multidrug-resistant, and 22 resistance patterns were found. All isolates were screened for AMR genes (tet(O), tet(A), tet(B), tet(L), cmeB, ermB, blaOXA-61, and aphA-3), and for point mutations in gyrA (C257T substitution) and 23SrRNA (A2075G/A2074C) genes. All screened AMR genes, as well as the C257T and the A2075G mutations, were detected. The virulence genotypes were also determined, and all isolates carried the motility (flaA) and invasion (cadF) genes. Most of them also harbored the cdtA, cdtB, and cdtC genes, encoding the Campylobacter toxin. The screening of the cgtB and the wlaN genes, involved in Guillain-Barré Syndrome expression, revealed the presence of the cgtB in 21.2% of C. jejuni strains, whereas none of them carried the wlaN gene. Our findings highlight the emergence of Campylobacter strains simultaneously harboring several virulence and AMR determinants, which emphasizes the risk of transmission of MDR strains to humans via the food chain. Hence, controlling the dissemination of foodborne pathogens “from the farm to the fork” as well as restricting the use of antimicrobials in husbandry are mandatory to prevent the risk for consumers and to mitigate the dissemination of MDR pathogens.

1. Introduction

Thermotolerant Campylobacter, particularly C. jejuni and C. coli, are considered as the most common cause of bacterial foodborne illness in humans, both in developed and low-income countries [1]. C. jejuni is responsible for 80–90% of campylobacteriosis cases worldwide and may induce immunoreactive complications, such as polyarthralgia, Miller Fisher, and Guillain-Barré syndromes (GBS) [2,3]. According to the World Health Organization (WHO), Campylobacter is one of the four most important causes of diarrheal diseases leading to 550 million people falling ill yearly, including 220 million children under the age of five years [4]. The major source of human infection is the handling and consumption of contaminated chicken meat [5]. Indeed, poultry is the main reservoir of Campylobacter, and at the slaughter stage, broiler carcasses are easily contaminated after evisceration. Even carcasses from negative flocks can be contaminated by cross-contamination through slaughter processing [6]. Thus, the pathogen may be transported from the farm to the final product through the slaughtering process [7].
The pathogenesis of Campylobacter remains unclear. However, specific pathogenic properties appear to contribute to the bacterial survival and establishment of disease in the host. Indeed, many virulence factors, including motility, adhesion, colonization, host cell invasion, and toxin production, are associated with Campylobacter strain virulence [8]. The carbohydrate structure (lipooligosaccharides) was shown to be responsible for triggering an excessive immune response, which provokes severe complications, such as GBS [8]. Therefore, the identification of genes associated with virulence in Campylobacter strains provides a better understanding of their pathogenicity and their ability to cause disease.
The treatment of campylobacteriosis is based mainly on the use of quinolones (e.g., ciprofloxacin), macrolides (e.g., erythromycin), and tetracyclines [6]. In the last decade, several studies have reported the emergence of AMR in Campylobacter and the transmission of MDR strains to humans, predominantly through food consumption [9]. Absolutely, rising prevalences of AMR among Gram-negative bacteria have become an emerging global threat [10]. Indeed, the overuse of antibiotics in human medicine and husbandry, particularly in developing countries, has led to the emergence of antibiotic resistance in bacteria and the spread of MDR strains [10], which increases the risk of even banal infections becoming fatal. In Tunisia, the absence of a national surveillance system for antimicrobial use in veterinary fields combined with the free sale of drugs constitute one of the main reasons behind the steady increase in antimicrobial resistance in husbandry [11,12].
Furthermore, the emergence of MDR strains harboring several virulence determinants simultaneously might have an additive influence on the severity of infections. Therefore, the surveillance of foodborne pathogen dissemination, AMR prevalence, and virulence factor characterization are critical pillars in epidemiological investigations, risk management, and control strategies established in poultry farming and meat chain production.
Keeping in view the current situation, the present study aimed to assess the contamination rate with Campylobacter in chicken carcasses, determine the AMR prevalence, profile MDR patterns, and characterize genes conferring AMR and virulence factors.

2. Results

2.1. Contamination Rates of Campylobacter spp. in Chicken Carcasses

Based on the culture method and the biochemical tests, a total of 56 presumptive Campylobacter isolates were recovered. Isolates showed on Karmali agar greyish, flat, and moistened colonies, with a metallic sheen and regular edge. Microscopic examination showed cells with characteristic corkscrew-like motility. The isolates were oxidase/catalase positive and Gram-negative curved bacilli.
Out of the 56 presumptive Campylobacter isolates, 48 were confirmed by PCR genus identification. Therefore, the overall isolation rate (IR) was 18.7% (n = 48/257), including 68.7% (n = 33/48) of C. jejuni and 31.2% (n = 15/48) of C. coli. The IR of Campylobacter in samples from abattoirs was 22.5% (n = 32/142) with 68.7% (22/32) of C. jejuni as the predominant species and 31.2% (10/32) of C. coli. Meanwhile, the IR of Campylobacter from retail shops samples was 13.9% (n = 16/115), with 68.7% (11/16) of isolates as C. jejuni and 31.2% (5/16) as C. coli (Table 1).

2.2. Antimicrobial Resistance: Phenotypic Patterns

The phenotypic antimicrobial susceptibility testing to eight antimicrobial agents revealed high resistance rates. Indeed, all isolates were resistant to tetracycline, and only one strain was susceptible to erythromycin. The resistance to ampicillin was observed in 83.3%, while isolates seemed more sensitive to amoxicillin/clavulanic and 77.1% were susceptible. Resistance rates to ciprofloxacin, nalidixic acid, and chloramphenicol were 73%, 85.4%, and 75%, respectively. Thirteen strains (27.1%) were resistant to gentamicin. The distribution of antimicrobial resistance rates among C. jejuni and C. coli species from abattoirs and retail stores are presented in Table 2.
Multidrug resistance to at least three antimicrobial classes was detected in all Campylobacter isolates, and the rates of resistance profiles, including three, four, five, and six antimicrobial classes, were 4.7%, 33.3%, 41.7%, and 20.8%, respectively. Most of C. jejuni (33.3%) and C. coli (46.6%) isolates exhibited different MDR patterns against five antimicrobial classes. Lower percentages of isolates were resistant to six classes (24.2% of C. jejuni vs. 13.3% of C. coli). Overall, 22 resistance patterns were detected (Table 2), and the most common pattern, “ERY AMP CIP NAL CHL TET”, was present in 27.1% of Campylobacter isolates. The percentage of C. coli strains (five out of 15 equivalent to 33.3%) belonging to this group is higher than the percentage of C. jejuni isolates (eight out of 33 equivalent to 24.2%). The second most prevalent pattern, “ERY AMP CIP NAL TET”, was detected in 10.4% (five out of 48) of isolates. The remaining patterns comprised less than 10% of isolates. For C. coli, 10 profiles composed of 3–6 antimicrobial classes were detected. While for C. jejuni, 18 patterns composed of three (one pattern), four (eight patterns), five (six patterns), and six (four patterns) antimicrobial classes were detected. Seven patterns were detected in both species (Table 3).

2.3. Detection of Antimicrobial Resistance Genes

The selected AMR genes were evaluated in all phenotypically Campylobacter resistant isolates. When screened for tetracycline resistance genes, all strains (n = 48) harbored the tet(O) gene. The tet(A) was also prevalent at 89.6% (43/48), whereas tet(B) was detected in 10 isolates (20.8%) and tet(L) only in two strains (4.1%). The tet genes’ identity, except the tet(L) gene, was confirmed by sequencing. The obtained sequences, compared with the corresponding public sequences of antibiotic-resistant bacteria available in the GenBank database, showed a nucleotide similarity of 99–100%. Sequencing failed for the tet(L) amplicons, likely because both positive isolates showed a weak amplification signal.
The resistance-associated point mutation (C257T) in the quinolone resistance determining regions (QRDR) of gyrA gene (encoding the subunit A of DNA gyrase) was detected in 81.8% (36/44) of resistant strains. All the strains with a CIP+NAL resistant phenotype (33/33) and two ciprofloxacin resistant strains (2/3) had this mutation, whereas, for the nalidixic acid resistant isolates (n = 8), only one strain harbored the C257T mutation.
The A2075G mutation in the 23S rRNA gene conferring resistance to macrolides was observed in 76.6% (36/47). Nine erythromycin-resistant isolates (19.1%) harbored the A2074C mutation, whereas 48.9% (23/47) carried the ermB gene (encoding a ribosomal methylase). Meanwhile, none of these macrolide resistance-associated determinants was detected in four isolates (8.5%).
The presence of the β-lactamase blaOXA-61 gene was observed in 21.4% (9/42) of the β-lactams resistant strains, while 46.1% (6/13) of isolates carried the aphA-3 gene (encoding an aminoglycoside 3′-phosphotransferase) conferring resistance to aminoglycosides. Interestingly, all isolates carried the cmeB gene encoding the subunit B of the cmeABC pump efflux.

2.4. Prevalence of Virulence Determinants in Campylobacter Isolates

In general, virulence gene prevalence in Campylobacter strains was high, and strains carried an average of six virulence genes. The most frequently identified genes were as follows: cadF (encoding a 37-kDa outer membrane protein binding to host fibronectin), flaA (coding for flagellin), cdtA, cdtB, and cdtC (encoding the cytolethal-distending toxin). Indeed, all the strains (100%) were positive for the flaA and cadF genes. Cytotoxin production genes were also highly prevalent, particularly in C. coli. Indeed, all isolates were positive for the three cdt genes. The cdtA, cdtB, and cdtC genes were also prevalent in C. jejuni isolates, with the percentage of 88% (n = 29/33), 72.7% (n = 24/33), and 75.7% (n = 25/33), respectively. The ceuE gene (encoding the enterochelin uptake substrate-binding protein, involved in iron acquisition) was carried by 93.9% (n = 31/33) of C. jejuni isolates and 33.3% (n = 5/15) of C. coli. virB11, involved mainly in cell invasion, was detected in 36.4% of C. jejuni (n = 12/33) and 40% of C. coli (n = 6/15). The cgtB and wlaN genes, both encoding a β-1, 3-galactosyltransferase enzyme and involved in triggering Guillain-Barré syndrome (polyneuropathic disorder), were also screened. The cgtB gene was detected in 21.2% (n = 7/33) of C. jejuni, while none of the isolates harbored the wlaN gene. When looking at the virulence patterns, 10 virulotypes were observed (Table 4). The most prevalent was the combination “flaA, cadF, cdtA, cdtB, cdtC, ceuE” detected in 13 isolates, followed by the combinations “flaA, cadF, cdtA, cdtB, cdtC”, “flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11”, and “flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11, cgtB” detected in eight, seven, and six strains. Moreover, it was observed that C. jejuni strains presented a higher percentage of virulence genes (63.7% harbored six genes or more) than C. coli (only 46.7% carried six genes), where p < 0.05.

3. Discussion

Human campylobacteriosis is mainly caused by consuming contaminated foods from poultry origin. In the current study, we assessed the Campylobacter contamination rate in chicken carcasses. The isolation rate of Campylobacter was 18.7%, which was within the range of reported rates in different studies, such as in Italy (17.38%) [13]. By contrast, higher rates were recorded in China (77%) [14] and South Korea (54.1%) [7]. In our previous study on Campylobacter prevalence in broiler flocks [15], we reported contamination rates ranging from 6.1% to 56%. Hence, the contamination rate at the slaughter level was in line with these results. The total isolation rate of Campylobacter from samples originating from slaughterhouses (23.2%) was higher than retail shops (13%), which might be attributed to the effect of refrigeration and frozen conditions on the viability of Campylobacter on carcasses. Indeed, it was reported that refrigeration and freezing exert a lethal effect on Campylobacter cells [16,17]. In the present study, 68.7% of Campylobacter isolates were identified as C. jejuni and 31.2% as C. coli. The predominant species recovered from poultry carcasses was C. jejuni, as reported in several studies worldwide [18]. Indeed, it was shown in multiple studies that the most recovered thermotolerant species at the end of the poultry meat chain production is C. jejuni [19,20].
Antimicrobial resistance is an emerging public health issue, compromising antibiotic treatment of human and animal infections. The development of antimicrobial resistance in foodborne pathogens is a result, in part, of the misuse of veterinary drugs in husbandry. In intensive poultry production, antibiotics have been commonly used whether in bacterial infection control or for growth promotion [21,22]. The emergence and dissemination of multi-drug resistant Campylobacter strains from different origins were described worldwide, and resistant strains might be transmitted to humans via the food chain [23]. Even though the use of antibiotics as growth promoters is regulated in Tunisia, the overuse of antibiotics in husbandry remains a real concern because open access to antibiotics from local vendors is usually possible. In this study, high resistance rates were obtained for almost all tested antibiotics except amoxicillin/clavulanic acid and gentamicin, which is in total agreement with our previous results from broiler flocks [15]. This underlines the importance of limiting the use of antibiotics at the farm level to reduce the emergence of drug-resistant strains and their spread in food animal products. Regarding macrolides, the frontline antibiotics for Campylobacter infection treatment, most isolates (97% in C. jejuni vs. 100% in C. coli) were resistant to erythromycin, which is consistent with many reports elsewhere [24,25]. The increase of macrolide resistance rates is likely attributable to the widespread use of macrolides, such as tylosin, in poultry production. Resistance to erythromycin is mainly caused by mutations at positions A2075G and/or A2074C of the domain V of the 23S rRNA gene [26]. The presence of the ermB gene encoding the 23S rRNA methyltransferase and the cmeABC multidrug efflux pump has also been shown to be involved in the acquired resistance to erythromycin [27]. In this study, the A2075G mutation was detected in 76.6% of isolates, the A2074C in 19.1%, and the ermB gene in 48.9% of isolates. Four out the 47 erythromycin-resistant strains did not carry any of the selected macrolide resistance determinants. However, all of these isolates carried the cmeB gene which can explain this resistance due to the cmeABC efflux pump expression, as suggested by other studies [26].
In the present study, we revealed high resistance rates to ciprofloxacin (60% in C. jejuni vs. 86.7% in C. coli) and nalidixic acid (87.9% in C. jejuni vs. 80% in C. coli). Such results are consistent with reports from Algeria, Poland, and Belgium [28,29,30]. Quinolone-resistance has been linked with the presence of two different mechanisms, namely the presence of the cmeABC operon and point mutations in the quinolone-resistance determining region (QRDR) of the DNA gyrase A (gyrA) gene. In addition to several other mutations in gyrA (Thr86Lys, Thr86Ala, Ala87Pro, Asp90Tyr, Asp90His, etc.) [31], various mutations in gyrB might be involved in quinolones and FQ-resistance. Campylobacter isolates resistant to ciprofloxacin and/or nalidixic acid were screened for the presence of the C257T mutation in the gyrA gene. The results showed that this mutation was not detected in some resistant isolates, particularly those resistant only to nalidixic acid. This observation is in agreement with previous reports suggesting that this point mutation does not confer universal resistance to all quinolone antibiotics and arguing that quinolone-resistance might be associated with other unknown resistance mechanisms [30].
Given the long-term use of tetracyclines in food animal production and poultry raising, large numbers of tetracycline-resistant isolates were found in animal reservoirs. It has been previously reported that 95.6% of C. jejuni and 97.5% of C. coli isolates from chicken in China were resistant to tetracycline [32]. In the present study, 100% of isolates were resistant to tetracycline. Besides, the genetic analysis was fully concordant. Indeed, all strains were shown to carry the gene tet(O), which is known to be responsible for tetracycline resistance in Campylobacter strains [33]. We have also shown the presence of tet(A) in most isolates (89.6%), which corroborates the results of Nguyen et al. [34] that reported the detection of tet(A) gene in 90.3% of C. jejuni and 100% C. coli isolates from chicken in Kenya, in contrast to the results from china (6.5%) and Iran (18%) [25,35]. At a lesser level, we detected the tet(B) in 20.8% of isolates, and the tet(L) variant in only two strains (4.1%). A previous study in Tunisia has shown that nine tet genes (tet(A), tet(B), tet(K), tet(L), tet(M), tet(O), tet(Q), tet(S), and tet(X)) were found in 100% of analyzed gut broiler chickens lots [36]. The same study reported that the tet(O) was present in 98% of samples, the tet(A) in 90.2%, and the tet(B) in 76.4%. In contrast to our results, they showed that tet(L) was also prevalent and it was detected in 98% of samples. This gene encoding an efflux pump, often reported in methicillin-resistant Staphylococcus aureus (MRSA) and conferring resistance to tetracycline, has been rarely described in Campylobacter [37]. The tet(L) was confirmed to confer an increased resistance to tigecycline, which is considered as the last antibiotic choice to treat infections caused by carbapenem-resistant Enterobacteriaceae. tet(A) also conferred increased resistance to this antibiotic, which suggests that the tetracycline efflux pump, whether encoded by tet(A) or tet(L), can contribute to increased tigecycline resistance. Besides, comparative genomic analysis indicated that the tet(L) variant was located within a multidrug resistance genomic island (MDRGI) in the Campylobacter spp. chromosome. In this MDRGI, a florfenicol resistance gene, fexA, and a tetracycline resistance gene, tet(O), were present, which suggests that the usage of tetracyclines and florfenicol in husbandry could increase the prevalence and the dissemination of the tet(L) variant by selection pressure [37].
The resistance level against ampicillin (β-lactam) (88% in C. jejuni vs. 73.3% in C. coli) was important, whereas the combination amoxicillin/clavulanic acid seemed to remain effective against Campylobacter (27.3% in C. jejuni vs. 13.3% in C. coli), which is consistent with our previous results [15], and with other reports, e.g., from Australia [38]. Even though resistance to β-lactams has been widely reported among Campylobacter, the mechanism of resistance to ampicillin and the involvement of β-lactamase genes are not well understood. The acquisition of the blaOXA-61 gene seems to be associated with this resistance. However, C. jejuni can produce more than one type of β-lactamase. Indeed, other uncharacterized beta-lactamase genes were reported in Campylobacter [39]. The CmeABC also plays an important role in the resistance to beta-lactam drugs [26].
Resistance towards gentamicin is a novel phenomenon in Campylobacter isolates as it is used for treating systemic infections, and low resistance proportions have been widely documented [40]. However, recent studies reported increased resistance rates against this antibiotic [41], which corroborated with our findings. In fact, we report that 30.3% of C. jejuni and 20% of C. coli isolates are resistant to gentamicin. When screened for the aphA-3 gene, 46.1% of resistant isolates were positive, and this result is in line with previous reports [42]. Other genes, such as aacA4 and aphA-7, commonly associated with aminoglycosides resistance should be investigated to better characterize resistance to aminoglycosides for these strains.
In Tunisia, as in many countries worldwide, the use of chloramphenicol is prohibited in husbandry [43]. Nevertheless, we noted high levels of resistance towards this drug (72.7% in C. jejuni vs. 80% in C. coli), which is similar to other reports, e.g., from India [44]. These results could be explained by the frequent use of florfenicol as a broad-spectrum antibiotic in veterinary medicine, resulting in a combined acquired resistance to florfenicol/chloramphenicol [45].
Despite the presence of small resistance discrepancies between phenotypes and genotypes in some strains, the presence of cmeABC pump efflux in all strains might be responsible for the observed phenotypic resistance [46]. Indeed, as we have shown in our previous study [47], the presence of the cmeABC pump efflux might be the most potential mechanism of resistance in strains lacking AMR genes. However, more in-depth investigation should be performed to determine other putative AMR molecular mechanisms.
Multidrug resistance was observed in all isolates, which was not unexpected due to the high MDR rates previously observed in Campylobacter strains from broiler flocks in Tunisia [15]. Twenty-two resistance patterns were found, and several of them were detected in poultry flocks. Resistance to five and six groups of antimicrobials was observed in 62.5% of strains. In addition, 91% of isolates were resistant to erythromycin, quinolones, and tetracycline.
Thus, these results highlighted that the health risk to the consumer is further complicated by limiting treatment options. Therefore, the clinical treatment of campylobacteriosis and probably other enterobacterial infections should be carefully reconsidered. Moreover, the detection of all screened AMR determinants suggests that this zoonotic agent would be a potential reservoir for the dissemination of resistance determinants to several intestinal pathogens by horizontal gene transfer.
In the second part of this study, we analyzed the presence of virulence factors in both C. jejuni and C. coli and observed that most of the screened virulence genes were prevalent in both species. The results showed that the most common were flaA and cadF, which have been associated with the bacterial adherence capacity to epithelial cells [8]. This result corroborated with several previous studies [48,49,50]. The high prevalence of these genes among Campylobacter strains can be explained by the fact that they are the key to the gut colonization process [49,50,51]. The cdtA, cdtB, and cdtC genes, which cause diarrhea by interfering with the division and differentiation of cells in the intestinal crypt, were detected in all C. coli strains and most of C. jejuni strains. These results are in line with other studies, which have described the high prevalence of these genes in Campylobacter strains [52]. The ceuE gene involved in gut colonization [53] was more likely to occur among C. jejuni (93.9%) than in C. coli (33.3%) strains. Previous studies described the high prevalence of this gene in different C. jejuni isolates and its importance in virulent C. jejuni strains, both for human and poultry [54]. The presence of wlaN and cgtB genes is correlated with a higher ability of strain invasiveness, since they are encoding for a β-1,3-galactosyltransferase enzyme associated with the production of sialylated lipooligosaccharide, which is an important factor in triggering the Guillain-Barré and Miller-Fisher syndromes in patients after C. jejuni infection. In this study, 21.2% of strains carried the cgtB gene. However, none of them harbored the wlaN gene. While several studies reported the coexistence of cgtB and wlaN in strains, Guirado [55] described a differential prevalence of the genes wlaN and cgtB in C. jejuni isolates, which corroborated with our findings.
Overall, C. jejuni strains contained eight virulence gene patterns, with an average of six virulent factors. On the other hand, C. coli presented three different virulence gene patterns with the presence of at least five virulent determinants, including FlaA, cadF, cdtA, cdtB, and cdtC. Previous studies have shown that C. jejuni harbored more virulence-associated genes than C. coli, which might contribute to the survival and colonization of C. jejuni in the poultry gut, as well as to the development of the disease in humans [56].
In terms of this study, the results underscore the need for “one-health” approaches to control the dissemination of foodborne pathogens and to mitigate AMR emergence and the dissemination of virulent strains.

4. Materials and Methods

4.1. Sample Collection

A total of 257 chicken carcass samples were collected between 2017 and 2018, from two large poultry slaughterhouses (n = 142) located in northeastern Tunisia and 17 local randomly selected retail stores (n = 115) from different grocery chains in the district of Grand Tunis. Samples belonging to different brands of conventional chickens were aseptically collected in separate sterile plastic bags and were immediately transported in a cool box. Samples processing was performed in the same day.

4.2. Isolation of Campylobacter and Identification

Isolation of Campylobacter spp. from carcasses was achieved in accordance with the ISO 10272-1:2017(E) method, with slight modifications. Briefly, each sample (25 g) was subjected to an enrichment step in 225 mL of Bolton broth (Oxoid, Basingstoke, UK), supplemented with the Bolton broth selective cocktail (Oxoid, Basingstoke, UK), and incubated at 42 °C for 24 h under microaerophilic conditions (5% O2, 10% CO2, and 85% N2) using GENbox generators (BioMerieux, Craponne, France). From the enrichment culture, the selective Karmali agar plates (SIGMA-ALDRICH, Bangalore, India) were inoculated. The plates were incubated for 48 h under the same conditions, as above. The suspected Campylobacter colonies were examined for cell morphology and motility under optic microscope and then inoculated on non-selective blood agar for oxidase/catalase reactions and Gram coloration.
For molecular identification, bacterial DNA was extracted by the boiling method as described previously [15]. The genus confirmation was performed using a specific PCR amplification of the 16S rRNA gene, as described by Linton [57]. Species identification of the confirmed Campylobacter isolates as C. jejuni or C. Coli was based on mapA and ceuE gene amplification [58] using the primer sets listed in Table S1. The reference strains C. jejuni (ATCC 33291) and C. coli (CCUG 11283-T) were used as positive controls.

4.3. Antimicrobial Susceptibility Testing

Antimicrobial susceptibility testing (AST) was performed using the Kirby-Bauer disk diffusion method, in compliance with the European Committee on Antimicrobial Susceptibility Testing guidelines [59]. In brief, bacterial suspensions were adjusted to 0.5 McFarland turbidity standard and then plated onto Mueller-Hinton agar (Bio life, Milan, Italy) supplemented with 5% defibrinated horse blood. Afterward, the antimicrobial disks were distributed on the plates and incubated at 37 °C for 24 h. The tested antimicrobials were: erythromycin (ERY: 15 µg), ciprofloxacin (CIP: 5 μg), nalidixic acid (NAL: 30 μg), tetracycline (TET: 30 μg), amoxicillin/clavulanic acid (AMC: 20/10 μg), ampicillin (AMP: 10 μg), gentamicin (GEN: 10 μg), and chloramphenicol (CHL: 30 μg). Inhibition zones were interpreted according to the EUCAST (2017) breakpoints for Campylobacter [59]. The inhibition zone diameters interpreted as intermediate were considered as resistant. Isolates resistant to at least three antimicrobial classes were defined as multi-drug resistant (MDR).

4.4. Molecular Detection of Antimicrobial Resistance and Virulence Genes

Isolates resistant to the tested antibiotics were screened for the presence of the correspondent AMR genes. The tet(O), tet(A), tet(B), and tet(L) (tetracycline resistance) were amplified by PCR. The amplicons of tet genes were purified using the QIAquick Gel extraction Kit (QIAGEN, Hilden, Germany), and both DNA strands were sequenced. The obtained sequences were aligned by Blast (https://blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 21 January 2022), with the public sequences available in GenBank.
The macrolid resistance mechanism was investigated by targeting the A2074C and A2075G mutations in the23S rRNA gene, using the Mismatch Amplification Mutation Assay (MAMA-PCR), as described by Alonso [60], and by detecting the ermB gene by PCR. The resistance to quinolones was examined by MAMA-PCR, as described by Zirnstein [61,62], to detect the C257T (Thr-86-Ile) mutation in the gyrA gene in C. jejuni (ACA-ATA) and C. coli (ACT-ATT). The genetic determinants conferring resistance toward β-lactams and aminoglycosides were investigated by targeting the blaOXA-61 and aphA-3 genes, respectively. Besides, the cmeABC multidrug efflux pump conferring unspecific resistance to all the tested drug families was investigated by the amplification of the cmeB gene.
Regarding the virulence patterns assessment, Campylobacter isolates were screened by PCR for nine putative virulence-associated genes. The main virulence factors involved in motility (flaA), adhesion (cadF), invasion (virB11), production of the only Campylobacter toxin, cytolethal-distending toxin (cdtA, cdtB, and cdtC), colonization (ceuE: encoding a protein-binding-dependent transport system for the siderophore enterochelin), and in the expression of severe complications, such as the Guillain-Barré and Müller Fisher syndromes (cgtB, and wlaN) were examined.
All the PCR primer sets used in this study are shown in Table S1.

4.5. Statistical Analysis

All data collected in this study were analyzed using R language. Data, including isolation rate, antibiotic resistance (susceptibility and resistance), and molecular detection of genes (positive or negative), were analyzed as absolute values and reported as percentages.

5. Conclusions

Although the sample size and the number of Campylobacter strains were limited, this study revealed high resistance rates against most of the tested antimicrobials, and all strains exhibited MDR profiles, suggesting a potential hazard to consumers. All screened AMR molecular mechanisms were detected, and most strains co-harbored several virulence-associated markers, which might increase bacterial pathogenicity and treatment failure. Hence, the current data highlight the need to strengthen control strategies of foodborne pathogens in husbandry as a potential reservoir of AMR spread and to implement an urgent national plan for curbing the AMR trend, in animals and humans, in a “one health” approach.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics11070830/s1. Table S1: PCR primers used in this study. Refs. [63,64,65,66,67,68,69,70] are cited in Supplementary Materials.

Author Contributions

Conceptualization, A.B. and A.M.; data curation, A.B.; formal analysis, K.G.; funding acquisition, A.B. and A.M.; investigation, A.B., M.G., S.B., D.N., W.B.A., M.R. and L.M.; methodology, A.B., M.G., S.B., D.N., W.B.A., M.R. and L.M.; project administration, A.M.; resources, A.G.; supervision, A.B. and A.M.; validation, A.B. and A.M.; visualization, A.B.; writing—original draft, A.B.; writing—review & editing, A.B., K.G., A.G. and A.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Internal Collaborative Project of Pasteur Institute of Tunis (PCI), with the reference: PCI-23 (2016–2017).

Institutional Review Board Statement

The study was approved by the Biomedical Ethics Committee of the Pasteur Institute of Tunis, with reference number: 2018/12/I/LR16IPT03.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated for this study are contained within this article/Supplementary Materials.

Acknowledgments

The authors are grateful to the Veterinary Officers of slaughterhouses for their collaboration.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. All the authors have no competing interests. The funder (IPT) had no role in the study’s design, collection, analyses, or interpretation of data, writing of the manuscript, or in the decision to publish the results.

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Table
Table 1. Isolation rates of thermotolerant Campylobacter strains from chicken carcasses.
Table 1. Isolation rates of thermotolerant Campylobacter strains from chicken carcasses.
SourcesNo. of SamplesNo. of Campylobacter Isolates (%)
C. jejuniC. coliTotal
Abattoirs14222 (68.7%)10 (31.2%)32 (22.5%)
Stores11511 (68.7%)5 (31.2%)16 (13.9%)
Total25733 (68.7%)15 (31.2%)48 (18.7%)
Table
Table 2. Antimicrobial resistance rates in C. jejuni and C. coli strains.
Table 2. Antimicrobial resistance rates in C. jejuni and C. coli strains.
SourcesSpeciesNo.Antimicrobial Resistance Rates (n*)
ERYAMPAMCCIPNALCHLTETGEN
AbattoirsC. jejuni22100% (22)81.8% (18)22.7% (5)86.4% (19)94.4% (21)72.7% (16)100% (22)27.3% (6)
C. coli10100% (10)60% (6)10% (1)100% (10)90% (9)80% (8)100% (10)30% (3)
StoresC. jejuni1190.9% (10)100% (11)36.4% (4)36.4% (4)72.7% (8)72.7% (8)100% (11)36.4% (4)
C. coli5100% (5)100% (5)20% (1)60% (3)60% (3)80% (4)100% (5)-
Total 4897.9% (47)83.3% (40)22.9% (11)73% (35)85.4% (41)75% (36)100% (48)27.1 (13)
n*: number of resistant strains. ERY, erythromycin; AMP, ampicillin; AMC, amoxicillin/clavulanic acid; CIP, ciprofloxacin; NAL, nalidixic acid; CHL, chloramphenicol; TET, tetracycline; GEN, gentamicin.
Table
Table 3. MDR patterns of C. jejuni and C. coli isolates from chicken carcasses.
Table 3. MDR patterns of C. jejuni and C. coli isolates from chicken carcasses.
ATB ProfilesAntimicrobial GroupsIsolates
(n = 48)		Cj
(n = 33)		Cc
(n = 15)
ERY AMP AMC CIP NAL CHL TET GEN63 (6.25%)3-
ERY AMP AMC NAL CHL TET GEN 611-
ERY AMP CIP NAL CHL TET GEN64 (8.3%)22
ERY AMP NAL CHL TET GEN 611-
AMP CIP NAL CHL TET GEN511-
ERY AMP CIP NAL CHL TET513 (27.1%)85
ERY AMP NAL CHL TET53 (6.25%)21
ERY AMP AMC NAL CHL TET511-
ERY AMP AMC CIP NAL CHL TET511-
ERY CIP NAL CHL TET GEN51-1
ERY AMP AMC CHL TET GEN 511-
ERY AMP NAL TET411-
ERY AMP CHL TET4211
ERY AMP CIP NAL TET 45 (10.4%)41
ERY AMP AMC CIP NAL TET411-
ERY NAL CHL TET411-
ERY AMC CIP NAL TET 4211
ERY CIP CHL TET4211
ERY CIP NAL TET GEN411-
ERY AMP AMC CIP TET41-1
ERY AMP TET311-
ERY CIP NAL TET31-1
Abbreviations: ERY, erythromycin; CIP, ciprofloxacin; NAL, nalidixic acid; TET, tetracycline; AMP, ampicillin; AMC, amoxicillin/clavulanic acid; CHL, chloramphenicol; GEN, gentamicin.
Table
Table 4. AMR determinants and virulence profiles of Campylobacter strains.
Table 4. AMR determinants and virulence profiles of Campylobacter strains.
StrainAMR GenotypesVirolotypes
1C. jejunicmeB, ermB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11, cgtB
2C. jejunicmeB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11, cgtB
3C. jejunicmeB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11, cgtB
4C. jejunicmeB, Ery74, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11, cgtB
5C. jejunicmeB, tet(O), tet(B), C257T, blaOXA-61, aphA-3flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11, cgtB
6C. jejunicmeB, ermB, Ery75, tet(O), tet(A), blaOXA-61flaA, cadF, cdtA, cdtB, cdtC, ceuE
7C. jejunicmeB, ermB, ery75, Ery74, tet(O), tet(A), tet(B), tet(L), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11
8C. jejunicmeB, Ery75, tet(O), tet(A), C257T, aphA-3flaA, cadF, cdtA, cdtB, cdtC, ceuE
9C. jejunicmeB, ermB, Ery75, Ery74, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, ceuE, cgtB
10C. jejunicmeB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, ceuE
11C. jejunicmeB, Ery75, tet(O), tet(A), C257TflaA, cadF, ceuE, virB11
12C. jejunicmeB, ermB, Ery75, tet(O), tet(A), tet(B), tet(L), C257T, blaOXA-61flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11
13C. jejunicmeB, Ery75, Ery74, tet(O), tet(A), C257TflaA, cadF, ceuE
14C. jejunicmeB, Ery75, tet(O)flaA, cadF, ceuE
15C. jejunicmeB, ermB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, ceuE
16C. jejunicmeB, ermB, Ery75, tet(O), tet(A), tet(B), C257TflaA, cadF, cdtA, cdtB, cdtC
17C. jejunicmeB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtC
18C. jejunicmeB, ermB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE
19C. jejunicmeB, Ery75, tet(O), tet(A), C257T, blaOXA-61flaA, cadF, cdtA, cdtB, cdtC, ceuE
20C. jejunicmeB, ermB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, ceuE
21C. jejunicmeB, ermB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11, cgtB
22C. jejunicmeB, Ery74, tet(O), aphA-3flaA, cadF, cdtA, cdtB, cdtC, ceuE
23C. jejunicmeB, Ery75, tet(O), tet(A), tet(B), C257T, blaOXA-61flaA, cadF, cdtA, cdtB, cdtC, ceuE
24C. jejuniCmeB, ermB, Ery75, tet(O), tet(A), tet(B)flaA, cadF, ceuE
25C. jejunicmeB, ermB, Ery75, tet(O), tet(A)flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11
26C. jejunicmeB, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE
27C. jejunicmeB, ermB, Ery74, tet(O), tet(A), tet(B), C257T, blaOXA-61flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11
28C. jejunicmeB, Ery75, tet(O), tet(A)flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11
29C. jejunicmeB, Ery75, Ery74, tet(O), tet(A)flaA, cadF, cdtA, cdtB, cdtC, ceuE virB11
30C. jejunicmeB, tet(O), blaOXA-61, aphA-3flaA, cadF, cdtA, cdtB, cdtC, ceuE
31C. jejunicmeB, Ery75, tet(O), tet(A), tet(B)flaA, cadF, cdtA, cdtC, ceuE, virB11
32C. jejunicmeB, ermB, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11
33C. jejunicmeB, tet(O), tet(A), C257T, blaOXA-61flaA, cadF, cdtA, cdtB, cdtC, ceuE, virB11
34C. colicmeB, Ery75, tet(O), tet(A), C257T, aphA-3flaA, cadF, cdtA, cdtB, cdtC, ceuE
35C. colicmeB, ermB, tet(O), tet(A), C257T, aphA-3flaA, cadF, cdtA, cdtB, cdtC, ceuE
36C. colicmeB, Ery75, Ery74, tet(O), tet(A), C257TFlaA, cadF, cdtA, cdtB, cdtC
37C. colicmeB, ermB, Ery75, tet(O), C257TflaA, cadF, cdtA, cdtB, cdtC
38C. colicmeB, ermB, Ery75, tet(O), tet(A) C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE
39C. colicmeB, ermB, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC
40C. colicmeB, ermB, Ery75, tet(O), tet(A), tet(B), C257TflaA, cadF, cdtA, cdtB, cdtC, virB11
41C. colicmeB, ermB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, ceuE
42C. colicmeB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC, virB11
43C. colicmeB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC
44C. colicmeB, ermB, Ery75, tet(O), tet(A), C257TflaA, cadF, cdtA, cdtB, cdtC
45C. colicmeB, ermB, tet(O), tet(A), tet(B), C257TflaA, cadF, cdtA, cdtB, cdtC
46C. colicmeB, Ery75, Ery74, tet(O), tet(A), tet(B)flaA, cadF, cdtA, cdtB, cdtC
47C. colicmeB, Ery75, tet(O), tet(A), blaOXA-61flaA, cadF, cdtA, cdtB, cdtC, ceuE
48C. colicmeB, ermB, tet(O), tet(A)flaA, cadF, cdtA, cdtB, cdtC
Ery75 = A2075G mutation; Ery74 = A2074C mutation.
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Béjaoui, A.; Gharbi, M.; Bitri, S.; Nasraoui, D.; Ben Aziza, W.; Ghedira, K.; Rfaik, M.; Marzougui, L.; Ghram, A.; Maaroufi, A. Virulence Profiling, Multidrug Resistance and Molecular Mechanisms of Campylobacter Strains from Chicken Carcasses in Tunisia. Antibiotics 2022, 11, 830. https://doi.org/10.3390/antibiotics11070830

AMA Style

Béjaoui A, Gharbi M, Bitri S, Nasraoui D, Ben Aziza W, Ghedira K, Rfaik M, Marzougui L, Ghram A, Maaroufi A. Virulence Profiling, Multidrug Resistance and Molecular Mechanisms of Campylobacter Strains from Chicken Carcasses in Tunisia. Antibiotics. 2022; 11(7):830. https://doi.org/10.3390/antibiotics11070830

Chicago/Turabian Style

Béjaoui, Awatef, Manel Gharbi, Sarra Bitri, Dorsaf Nasraoui, Wassim Ben Aziza, Kais Ghedira, Maryem Rfaik, Linda Marzougui, Abdeljelil Ghram, and Abderrazek Maaroufi. 2022. "Virulence Profiling, Multidrug Resistance and Molecular Mechanisms of Campylobacter Strains from Chicken Carcasses in Tunisia" Antibiotics 11, no. 7: 830. https://doi.org/10.3390/antibiotics11070830

APA Style

Béjaoui, A., Gharbi, M., Bitri, S., Nasraoui, D., Ben Aziza, W., Ghedira, K., Rfaik, M., Marzougui, L., Ghram, A., & Maaroufi, A. (2022). Virulence Profiling, Multidrug Resistance and Molecular Mechanisms of Campylobacter Strains from Chicken Carcasses in Tunisia. Antibiotics, 11(7), 830. https://doi.org/10.3390/antibiotics11070830

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