Next Article in Journal
Impact of Disruption and Drying Conditions on Physicochemical, Functional and Antioxidant Properties of Powdered Ingredients Obtained from Brassica Vegetable By-Products
Previous Article in Journal
Sustainability and Gender Perspective in Food Innovation: Foods and Food Processing Coproducts as Source of Macro- and Micro-Nutrients for Woman-Fortified Foods
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Antimicrobial Resistant E. coli in Pork and Wild Boar Meat: A Risk to Consumers

1
Food Hygiene and Inspection, Veterinary Science Department, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy
2
Istituto Zooprofilattico Sperimentale della Lombardia ed Emilia Romagna, via Pitagora, 2, 42124 Reggio Emilia, Italy
3
Istituto Zooprofilattico Sperimentale della Lombardia ed Emilia Romagna, via Emilio Diena, 16, 41122 Modena, Italy
*
Author to whom correspondence should be addressed.
Submission received: 12 October 2022 / Revised: 4 November 2022 / Accepted: 12 November 2022 / Published: 16 November 2022
(This article belongs to the Section Food Quality and Safety)

Abstract

:
Antimicrobial-resistant foodborne microorganisms may be transmitted from food producing animals to humans through the consumption of meat products. In this study, meat that was derived from farmed pigs and wild boars was analyzed and compared. Escherichia coli (E. coli) were isolated and tested phenotypically and genotypically for their resistance to quinolones, aminoglycosides and carbapenems. The co-presence of AMR-associated plasmid genes was also evaluated. A quinolone AMR phenotypic analysis showed 41.9% and 36.1% of resistant E. coli derived from pork and wild boars meat, respectively. A resistance to aminoglycosides was detected in the 6.6% of E. coli that was isolated from pork and in 1.8% of the wild boar meat isolates. No resistant profiles were detected for the carbapenems. The quinolone resistance genes were found in 58.3% of the phenotypically resistant pork E. coli and in 17.5% of the wild boar, thus showing low genotypic confirmation rates. The co-presence of the plasmid-related genes was observed only for the quinolones and aminoglycosides, but not for the carbapenems. Wild boar E. coli were the most capable to perform biofilm production when they were compared to pork E. coli. In conclusion, the contamination of pork and wild boar meat by AMR microorganisms could be a threat for consumers, especially if biofilm-producing strains colonize the surfaces and equipment that are used in the food industry.

1. Introduction

Antimicrobial drug use is the most important factor leading to antimicrobial resistance phenomenon, and Multi-Drug Resistance (MDR) is considered a significant hazard to public health [1,2]. This global public health threat causes 670,000 resistant infections and 33,000 deaths in Europe each year [3].
Quinolone resistance is related to the mutations and acquisition of resistance-conferring genes. The mutations are localized in one domain of the GyrA and ParE subunits of the respective enzyme, causing a reduction in the drug affinity for the enzyme–DNA complex [4,5,6]. Low-level resistance can be driven by plasmid-acquired resistance genes (Plasmid Mediated Quinolone Resistance-PMQR) that encode for a Qnr protein that protect the target enzyme from the quinolone’s activity [7]. Quinolone antimicrobial resistance can be conveyed by other plasmid resistance genes that can codify for a mutant aminoglycoside modifying enzyme (AME), thus conferring resistance to both of the antimicrobial classes simultaneously [6,8]. Several studies have evaluated the simultaneous presence of quinolone resistance and aminoglycoside resistance in Enterobacteriaceae, particularly, against amikacin [9,10,11].
The resistance mechanism developed against aminoglycosides is an enzymatic modification of the molecule by the aminoglycoside-modifying enzymes (AME), particularly, 6′-N-acetyltransferase type Ib [AAC(6′)-Ib], O-nucleotidyltransferases (ANT) and O-phosphotransferases (APH) [12,13]. Among the AME resistance genes, Aac(6′)-Ib, Aac(3)-II, Ant(3″)-Ia, and Aph(3′)-Ia are the most widely distributed ones [14].
Recently, a high rate of co-resistance involving the above-mentioned antimicrobials and β-lactams, particularly meropenem, has been shown in Enterobacteriaceae [15].
Carbapenemases are classified in three of the four classes of Ambler classification: class A carbapenemases use a serine residue to hydrolyze β-lactams, and they are encoded by blaKPC gene; class B are zinc-dependent metallo-β-lactamases, and they are encoded by blaVIM, blaIMP, an blaNDM genes; class D includes members of the OXA-encoding (blaOXA-48-like) genes [16,17]. Plasmid-mediated genes that are related to the three considered antimicrobial classes have been increasingly found to be in association [18].
For the first time since 2011, the antimicrobial usage in Europe from 2016 to 2018 was lower in food-producing animals than it was in humans [19]. Despite this encouraging data, antimicrobial resistance needs to be monitored in animals, and in particularly, in food-producing animals [20].
Escherichia coli (E. coli) are both pathogenic and commensal bacteria that are considered to be in food hygiene an important sign of fecal contamination. They are also used as sentinel bacteria to assess the presence of antimicrobial resistance phenomenon in animals and in human. E. coli can thus be isolated from a variety of sources, such as the feces, manure, water and foods of animal and plant origin, and consequently, they can easily survive in various environments and spread [21].
Meat and meat products can be contaminated in different stages of the food chain, from the abattoir during evisceration to the processing stage [22]. Consumers can come into contact with antimicrobial-resistant (AMR) E. coli during meat manipulation and preparation, thus leading to antimicrobial resistance spread. The cross-contaminations of the food environment, not well cooking meat and the increasing raw meat demand exacerbate the phenomenon [23]. In fact, many genetic similarities have been shown among bacteria to be found in food-producing animals and in humans, and particularly, in E. coli [24].
Antimicrobial surveillance programs (for example, the European Food Safety Authority program) include indicator microorganisms such as commensal E. coli because of their ubiquitous behavior which facilitates a proper trend analysis, assuming that this bacterium is intrinsically susceptible to the antimicrobial molecule that is being considered [25]. Furthermore, E. coli can transfer plasmid-mediated resistance to other bacteria that are both commensal and pathogenic, thus causing the occurrence of hard-to-treat infections [26].
Antimicrobial resistance is frequently detected in bacteria that are isolated from food producing animals because of their extensive and inappropriate use of antibiotics as growth promoters or as preventive treatments [27], thus resulting in the emergence of antimicrobial resistance in foodborne pathogens and commensal bacteria in the food of animal origin [28]. Pig production is an intensive industry for which the use of antibiotics for treatment of various diseases is widely diffused [27]. In addition, the current scenario of the anthropogenic transformation of the landscape involves forcing wildlife into greater contact with humans and their livestock, thereby increasing the risk of antimicrobial resistance transmission through different populations [29]. Antimicrobial resistance has already been reported in commensal bacteria in wildlife [30] and wild boar hunting, and the processing of their meat has been reported to be a possible route of the transmission of AMR bacteria and resistant genes to humans [23]. The dramatic increase in the contact between domestic and wild animal species would necessitate the monitoring of this phenomenon. In this context, the comparison of pork vs. meat from the wild is of interest.
Moreover, the food-producing environment plays an important role in the dissemination of AMR bacteria [2], and the production of biofilm, which are microbial communities that live together in a self-made extracellular polymeric matrix, may facilitate this phenomenon. The biofilm formation process establishes a gradient of available substances into the matrix, thereby creating an aerobic and metabolically active outer layers and an anaerobic and low-nutrient inner layer. Quinolones, β-lactams and aminoglycosides’ are not active to be in anaerobic conditions, thus causing a failure of the antimicrobial action. Moreover, they are able to kill rapidly dividing cells in the outer layer, thus causing the overwhelming of slow bacteria cell growth, leading to antimicrobial tolerance [31]. This physical barrier allows for the exchange of genetic elements among microorganisms [32], for example, both commensal and pathogenic bacteria [33].
The aim of the present study was to evaluate the prevalence of AMR E. coli that was isolated from pork and wild boar meat products and evaluate the involvement of food of animal origin in the spread of this phenomenon. The key goal of the study was to compare the antimicrobial resistance between the strains that were isolated from meat. In particular, the antimicrobial-treated farmed pigs and antimicrobial-free wild ones from around the world were compared. Ciprofloxacin and nalidixic acid (quinolones), amikacin (aminoglycosides) and meropenem (β-lactams) resistances were detected (phenotypic and genotypic analysis). Particular attention was paid to the plasmid-mediated resistance genes and their simultaneous presence in resistant strains. Moreover, the biofilm production was evaluated.

2. Materials and Methods

2.1. Sample Collection

Between January 2018 and January 2020, 1003 pork products (sausages, cotechino, salami, meatballs, meat skewers) from meat-processing companies and 1052 wild boar fresh meat samples from slaughterhouses were collected by the Istituto Zooprofilattico Sperimentale della Lombardia e Emilia Romagna (IZSLER), which is located in Reggio Emilia (44°42′34”56 N, 10°37′13”80 E).

2.2. Escherichia coli Isolation and Counting

According to the ISO standard 16649-2:2001 [34], E. coli was isolated from the meat samples. Briefly, 10 g of meat was homogenized 1:10 in Buffered Peptone Water (BPW), 1 mL was included in Triptone Bile-X-Gluc (TBX) agar medium, and it was incubated at 44 ± 1 °C for 18–24 h. The typical blue-green colonies were counted, selected, and subjected to an indole test. Positive colonies were confirmed as being E. coli using API 20E miniaturized system (bioMérieux, Marcy-l’Étoile, France). The methods have been accredited according to the ISO standard 17025:2018 [35]. The cut-off considered for the further analysis was over 10 CFU/g of E. coli colonies.
The E. coli isolates were then sent to the laboratory of Food Hygiene and Inspection of the Veterinary Science Department, University of Parma.

2.3. Antimicrobial Resistance

All of the isolated E. coli were analyzed through Kirby–Bauer test to evaluate their phenotypical AMR profile. A bacterial suspension of 1.5 × 108 CFU/mL (0.5 McFarland) was used to seed the Mueller–Hinton Agar plates (Biolife Italiana, Milan, Italy) following the EUCAST guidelines [36]. An antibiotic disk (NeoSensitabs, Rosco Diagnostica, Denmark) of ciprofloxacin 5 µg (CIPR), nalidixic acid 30 µg (NAL), amikacin 30 µg (AMI) and meropenem 10 µg (MERO) was applied onto the seeded plates and incubated at 37 ± 1 °C for 18–24 h. The inhibition diameter was evaluated, and the isolates were classified as being “resistant” (inhibition zone CIPR ≤ 16 mm, NAL ≤ 20 mm, AMI ≤ 16 mm, MERO ≤ 14 mm) “intermediate” (inhibition zone 17 mm ≤ CIPR ≤ 19 mm, 24 mm ≤ NAL ≤ 21 mm, 17 mm ≤ AMI ≤ 19 mm, 15 mm ≤ MERO ≤ 17 mm) or “sensible” (inhibition zone CIPR ≥ 20 mm, NAL ≥ 25 mm, AMI ≥ 20 mm, MERO ≥ 18 mm) following the EUCAST guidelines [36] and the CLSI guidelines [37] for NAL.

2.4. Genotypic Analysis

The phenotypically resistant strains were tested using end-point PCR for the detection of resistant genes. Five colonies of overnight bacterial culture on Triptic Soy Agar (TSA-Oxoid, Basingstoke, United Kingdom) were suspended in 1 mL of sterile distilled water. The DNA extraction was performed by heating it at 95 °C for 10 min, and the cellular debris were removed by 15,000 rpm centrifugation for 5 min. The supernatant was used for amplification after its proper quantification using a Biospectrometer Basic Eppendorf (Eppendorf, Milan, Italy).
The ciprofloxacin and nalidixic acid-resistant E. coli were tested to evaluate the presence of the chromosomal genes mutations. Particularly, gyrA Ser83 (gyrA83), gyrA Asp87 (gyrA87) and parC Ser80 (parC80), parC Glu84 (parC84) were detected by MAS-PCR following Onseedaeng and Ratthawongjirakul’s [38] protocol with modifications that are described in Table 1.
The presence of PMQR (qnrA, qnrB and qnrS) was detected firstly in the quinolone-resistant strains and in E. coli harbouring at least one of the amikacin or meropenem plasmid-related genes to evaluate their co-presence. The multiplex PCR was set up following Salah et al.’s [39] protocol with variations (Table 1).
The amikacin plasmid resistance genes (Aac(6′)-Ib, Aac(3)-II, Ant(3″)-Ia, and Aph(3′)-Ia) were detected in the resistant E. coli by Shi et al.’s [14] multiplex PCR protocol with modifications including the Aac(6′)-Ib forward primer design (BLAST, NCBI) (Table 1). To evaluate their co-presence, the AMEs genes were detected also in the isolates that harbored PMQR or meropenem plasmid-resistant genes.
The PCR products were evaluated by electrophoresis with 2% of agarose with SYBR Safe DNA gel stain (Invitrogen, Poland, OR).
Following the previous criterion, the multiplex PCR for the detection of blaKPC, blaVIM, blaIMP, blaNDM and blaOXA-48-like was performed using Doyle et al.’s [40] protocol with some variations (Table 1).
The PCR products were evaluated by electrophoresis with 1.5% of agarose with SYBR Safe DNA gel stain (Invitrogen, Poland, OR).
All of the amplicons were visualized by UV light. A 100-bp DNA ladder from Promega s.r.l., Milan, Italy was used as a marker. Positive, negative and no template controls were included.

2.5. Biofilm Evaluation

The resistant E. coli were tested for the ability to produce a biofilm. The protocol for the biofilm formation on a 96-well plate was developed following the one by O’Toole [41]. The colonies were first suspended in BPW that was added with 1% glucose and incubated at 37 ± 1 °C for 24 h. An aliquot was taken and regenerated in a new BPW with 1% glucose until there was a concentration of 1.5 × 108 CFU/mL (0.5 OD). Two hundred µL of bacterial suspension was placed in a 96-well plate. Each sample test was replicated 15 times. The positive control was E. coli ATCC 25922, which is a strong biofilm producer, and the blank was set up as culture broth, only. After incubation at 37 ± 1 °C for 24 h, the plates were washed by immersion in distilled water, dried upside down at 42 ± 1 °C for 20 min, and finally, they were colored with 100 µL of crystal violet for 5 min. The plates were washed three times by immersion in distilled water, and they were allowed to dry at 42 ± 1 °C for 1 h. The colonies were resuspended with 130 µL of ethanol per well, and the data were read on a spectrophotometer (Multiskan FC Version 1.00.75, Thermofisher Scientific, Waltham, MA, USA) at a wavelength of 620 nm.
The data were used to classify bacteria into 4 categories:
-
Non-adherent ones if the optical density (OD) was lower than the optical density of the blank wells (ODc);
-
Weak biofilm producers if ODc ≤ OD < 2XODc;
-
Moderate biofilm producers if 2XODc ≤ OD < 4XODc;
-
Strong biofilm producers if OD ≥ 4XODc.

2.6. Statistical Analysis

To evaluate the statistical difference between the variables that were considered, the p value was calculated (MedCalc Software Ltd.–free version, Ostend, Belgium). Particularly, the antimicrobial resistance prevalence that was obtained from the analysis of the pork and wild boar E. coli was compared using a Chi-Square test, and a p value < 0.05 was considered to be statistically significant.
The data collected must respect the following relation to be statistically considered:
n > 30; np > 5, n (1 − p) > 5
  • n = the number of animals;
  • p = the proportion of E. coli strains with the characteristics that are being studied.

3. Results

The E. coli were isolated from pork meat and wild boar meat products. Following the protocol that is described above, 198 E. coli were selected from the count plates which were obtained from 1003 processed pork meat samples (19.6%; CI 95% = 18.2–21.2), and 221 strains were selected from 1052 processed wild boar meat (21%; CI 95% = 18.5–23.5). When we were comparing the number of isolates between the two groups, no statistical difference was found (p = 0.4).

3.1. AMR E. coli Phenotypic Profile

The E. coli isolates were tested for their antimicrobial resistance against quinolones (ciprofloxacin and nalidixic acid), aminoglycosides (amikacin) and β-lactams (meropenem).
In the pork, the resistant E. coli strains to nalidixic acid and ciprofloxacin showed an occurrence rate of 41.9% (83/198; CI 95% = 37.9–45.9) and of 5.5% (11/198; CI 95% = 2.3–8.7), respectively.
The quinolone resistance prevalence in the E. coli that was isolated from wild boars followed a different trend: it was 36.2% (80/221; CI 95% = 34.3–38) for nalidixic acid and 0.4% (1/221; CI 95% = 0–3) for ciprofloxacin.
The resistance to ciprofloxacin was matched in all of the cases with the resistance to nalidixic acid. The difference between the prevalence of the quinolone-resistant E. coli in the pork and in the wild boars was statistically significant only for ciprofloxacin resistance (p = 0.0046).
A resistance to amikacin (aminoglycosides) was detected in 6.6% (13/198; CI 95% = 3.3–9.9) of the E. coli that were isolated from pork and in 1.8% (4/221; CI 95% = 0–5.38) of the wild boar meat isolates. The difference was statistically significant (p = 0.044). No resistant profiles were detected against meropenem (β-lactam).
Five E. coli strains from pork and two from wild boar meat were resistant both to quinolones and amikacin.
The intermediate resistant profiles were also evaluated. The prevalence of quinolone intermediate profiles was 54.5% (108/198; CI 95% = 47.6–61.4) and 62.9% (139/221; CI 95% = 56.63–69.4) for E.coli isolated from the pork and wild boar samples, respectively. Particularly, the pork isolates showed intermediate resistance only to nalidixic acid. The wild boar strains mainly showed intermediate profiles against nalidixic acid, but seven strains had simultaneous intermediate profiles to both of the quinolones that were tested.
The intermediate AMR profile to amikacin was observed in 38.9% of the pork E. coli strains (77/198; CI 95% = 34.9–42.9) and in 44.3% of the wild boar strains (98/221; CI 95% = 42–46.6).
The AMR intermediate profile of both of the antimicrobial classes was found in 38 pork strains and 54 wild boar strains. No intermediate profile was detected for meropenem. A resistance to nalidixic acid was frequently associated with an intermediate amikacin profile (13.6% pork E. coli and 19% in wild boar E. coli). All of the AMR patterns, both for the resistant and intermediate profiles, are shown in Table 2.

3.2. AMR E. coli Genotypic Profile

The strains showing phenotypic resistance to quinolones were analyzed to evaluate the presence of both the chromosomal and plasmid resistance genes. The chromosomal point mutations were firstly evaluated: in the pork samples, the quinolone-resistant E. coli showed a gyrA83 mutation in 13.1% of them (11/84), gyrA87 in 44% of them (37/84), parC80 in 7.1% of them (6/84), and parC84 in 1.2% of them (1/84). In the wild boar samples, the quinolone-resistant E. coli in 2.5% of the isolates (2/80) harbored only the gyrA87 mutation.
The plasmid-mediated quinolone resistance gene qnrA was detected in 1.2% (1/84) of the pork strains and never from the wild boars ones, while qnrB was present in 2.4% (2/84) of the pork strains and 8.7% (7/80) of the wild boar isolates. QnrS was found in 13.1% (11/84) of the pork E. coli strains and the 7.5% (6/80) of the wild boar isolates.
The strains showing a phenotypic resistance to amikacin were tested for the presence of the most common plasmid genes: 38.5% (5/13) of the pork E. coli harbored Ant(3″)-Ia and the 30.8% of it harbored (4/13) Aac(6′)-Ib. One of the strains simultaneously harbored the Aac(3)-II and Aph(3′)-Ia genes. All of the wild boar E. coli which were phenotypically resistant to amikacin were genotypically confirmed as harboring the Aac(6′)-Ib gene. Independently from their phenotypical expression, the strains that harbored PMQR were tested for the presence of amikacin-resistant genes and vice versa. In the pork samples, the co-presence of AMEs and PMQR genes was observed in 13 strains with different phenotypical AMR profiles: four strains were resistant to quinolone and amikacin, and nine strains were resistant to quinolone, but they were susceptible to amikacin. Table 3 shows all of the gene patterns that were found. Twelve wild boar E. coli, which were resistant to quinolones with PMQR genes, co-harbored AME genes with a sensible phenotypic profile of amikacin (Table 3).

3.3. Resistant E. coli and Biofilm Production

The resistant E. coli were tested for the ability to produce a biofilm. In the pork samples, 46/91 (50.6%; CI 95% = 40.3–60.8) of them were biofilm-producing E. coli. In particular, 29/91 (31.9%; CI 95% = 26–37.8) of them were weak, 12/91 (13.2%; CI 95% = 10.3–16) of them were moderate and 5/91 (5.5%; CI 95% = 0.8–10.2) of them were strong biofilm producers. Among the strains that were isolated from the wild boar meat, 52 out of 81 of them (64.1%; CI 95% = 61.1–67.2) were able to produce a biofilm. In particular, 16/81 of them (19.7%; CI 95% = 14.1–25.3), 24/81 of them (29.6%; CI 95% = 19.7–39.5) and 12/81 of them (14.8%; CI 95% = 7.1–22.5) were weak, moderate and strong biofilm producers, respectively. No statistically significant difference was found between the two groups (pork E. coli and wild boar E. coli) that were tested (p = 0.07).
In 29/46 (63%; CI 95% =49–76.95) of the pork E. coli which were able to produce a biofilm, antimicrobial resistance genes were found. The prevalence of this in wild boar E. coli was 7/29 (24.1% CI 95% =8.5–39.7), with a p value of 0.0145.

4. Discussion

Meat consumption is acknowledged to be a possible route of antimicrobial resistance transmission to humans, and food-producing animals are recognized as an important reservoir of various resistant bacteria [40,42]. Among them, E. coli is used as sentinel in surveillance programs due to their ability to acquire antimicrobial resistance. Multinational surveillance is essential for the early detection of increasing resistance patterns across countries [43,44].
This study focused on the pork production chain with the aim to compare the antimicrobial resistance prevalence in E. coli that had been isolated from both pork meat and wild boar meat and to evaluate the effect of selective pressure in domestic vs. wild animals.
The data showed that the prevalence of AMR E. coli isolates was higher in the pork meat (45.9%) than it was in the wild boar meat (37.1%). In particular, the resistance prevalence against ciprofloxacin, nalidixic acid and amikacin was, respectively 5.1%, 5.7% and 4.8% higher in the pork isolates. For ciprofloxacin and amikacin resistance, the difference was statistically significant. Despite this, the percentages of antimicrobial-resistant bacteria are high in both groups, and this may be due to indirect contact between the two habitats such as the use of pig manure in agriculture and the consequent dispersion of AMR bacteria [45].
Being different from the results obtained in this study, an EFSA/ECDC report [46] showed lower levels of resistance to these antimicrobials in pigs, even though there was a wide variation among the reported countries for both ciprofloxacin and nalidixic acid resistance. No E. coli which were resistant to meropenem were found in our study, and the same result has been confirmed throughout Europe, as reported by the EFSA/ECDC report [46].
In the present study, the intermediate resistant profiles were higher in the wild boar E. coli (82.8%) vs. the pork E. coli (74.2%), suggesting that the lower selective pressure on wildlife can affect the antimicrobial resistance expression in the bacteria [23]. This is also confirmed by the ciprofloxacin intermediate profile which was shown only in the wild boar isolates. In addition, the intermediate resistance values to amikacin and to nalidixic acid in the wild boar meat isolates were higher than they were in the ones (differences of 5.4% and 8.4%, respectively).
All of the resistant E. coli strains were genotypically tested in order to evaluate only the most common chromosomal mutations and plasmid-mediated resistance genes.
The quinolone-resistant genes were found in 58.3% of the phenotypically resistant pork E. coli. All of the tested genes, both the chromosomal mutations and PMQRs, have been found in the considered samples, and the most frequent mutation was gyrA87, which was followed by gyrA83 and qnrS. These data are similar to those that were found in other European countries [47,48,49].
In the wild boar meat isolates, only gyrA87, qnrB and qnrS were found in the AMR strains (17.5%), and despite the data that have been reported on regarding pork E. coli, qnrB was the gene that was most frequently present. These findings have been reported in another study on wildlife species, even though their meat was not considered by the authors [50]. In the present study, the confirmation rates of the genotypic resistances were lower than the phenotypic resistances were. This finding suggests the possible presence of other chromosomal genes mutations, plasmid-mediated gene variants or aspecific mechanisms causing quinolone AMR [7].
The percentages of AMR E. coli were genotypically confirmed to be higher for amikacin resistance than they were for a resistance to quinolones; 76.9% of the pork E. coli harbored AMEs genes, especially Ant(3″)-Ia and Aac(6′)-Ib, which was reported also by Poirel et al. [49]. All of the wild boar amikacin-resistant E. coli harbored AMEs gene, particularly Aac(6′)-Ib. Additionally, Poirel et al. [49] and Mercato et al. [51] reported that the Aac(6′)-Ib gene was the most frequently found one in game animals.
Plasmid-mediated resistance genes were taken into account in this study due to their association to bacteria, as reported by EFSA [18]: quinolones PMQR, AME genes and Carbapenemases resistance genes seem to be frequently co-present and horizontally transferred from one bacterium to another simultaneously [18]. In this study, the phenotypically resistant E. coli that harboured at least one of the plasmid-mediated resistance genes, which were related to the three antimicrobial considered classes, were tested for the other plasmid genes. The data demonstrated that the gene was co-present only for quinolones and aminoglycosides, and on the contrary, no carbapenems resistance genes were found. Moreover, the prevalence of co-present plasmid genes was similar between the pork and wild boar E. coli (13 and 12 strains, respectively), and the most frequent co-present gene patterns were qnrS and Ant(3″)-Ia. These data differ from other findings which demonstrated a stronger correlation between qnrA and qnrB with multidrug resistance in the enterobacteria [52]. QnrS was found to be frequently associated with Aac(6′)-Ib [53]. Otherwise, Rodriguez-Martinez et al. [52] confirmed the difficult association between the co-presence of qnr and carbapenems-related genes.
The majority of wild boar resistant E. coli isolates (64.2%) were able to produce a biofilm, whilst approximately half of the pork isolates (50.6%) demonstrated this ability. Moreover, the wild boar isolates were frequently moderate biofilm producers, while the pork E. coli were mostly weak biofilm producers. The rate of biofilm production has been reported as being high (60%) in bacteria that has been isolated from other wild animals, even if the available data frequently depend on the strain origin, cell membrane, surfaces, culture medium and methodology that were used [54]. Thanks to the biofilm matrix, biofilm-producing bacteria can tolerate harsh living conditions in the environment [55], and at the same time, this situation can promote the exchange of genetic elements, thus facilitating the spread of antimicrobial resistance through the bacteria [56]. In fact, different studies have demonstrated that the majority of bacteria which are able to produce biofilm are MDR [54,56]. The data that were generated in this study showed the high ability of biofilm formation in resistant bacteria, both in pork and wildboar meat. Moreover, the antimicrobial resistance genes were found to be in high percentages in pork, but the association of the biofilm production ability is statistically significant only in wild boar E. coli. The difficult management of wild boar carcasses in game-handling establishments [57], together with the ability of the microorganisms to produce a biofilm, could be a possible factor causing environmental cross-contamination and the spreading of AMR. To the authors’ knowledge, the present study is the first to report the presence of AMR E. coli that were isolated from fresh wild boar meat and conduct an evaluation of their biofilm production ability.

5. Conclusions

The study evaluated the prevalence of AMR strains among fresh meat samples. The role that is played by the farmed vs. wild living conditions of food-producing animals was evaluated. Contrary to our expectations, many isolates from the antimicrobial-free world showed to have high antimicrobial resistance percentages as well as the strains from domestic animal meat products. The differences in the genotypical AMR confirmations were highlighted between the two animal species that were tested. This evidence suggested that antimicrobial resistance spreads, and its development can be strongly influenced by the environmental selective pressure that is on animals, and consequently, on their derived food products. Meat processing can reduce the hazard of AMR bacteria, but at the same time, cross-contaminations in the food environment may still represent a risk of transmission to consumers. In addition, the ability to form a biofilm could raise the possibility of AMR transmission through food consumption. Food safety and quality assurance that are related to spread of antimicrobial resistance can be at risk, as confirmed by our data.
Finally, humans can both positively or negatively affect this phenomenon by controlling the antimicrobials usage and by following good manufacturing and hygienic practices during food production Despite this, uncontrolled risk factors can occur affecting both domestic and wild food production chains.

Author Contributions

Conceptualization, C.B. and M.R.; methodology, I.C.; software, M.R.; validation, M.R., L.A. and S.C.; formal analysis, S.C.; investigation, L.A. and S.C.; resources, P.B.; data curation, S.C.; writing—original draft preparation, M.R.; writing—review and editing, M.C.; visualization, C.B.; supervision, C.B. and S.B.; project administration, C.B.; funding acquisition, C.B. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Cariparma Foundation (Grant number 2019.0065), Parma, Italy.

Institutional Review Board Statement

Ethical review and approval were waived for this study due to the fact that not live animal manipulation or injury was performed to collect samples needed.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are reported within the article.

Acknowledgments

The authors thank Laura Helen Kramer for the linguistic revision.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

AMRAntimicrobial Resistant
MDRMultidrug Resistance
AMEAminoglycoside modifying enzyme
QnrQuinolone resistance
ANTAminoglycoside O-nuclotidyltransferase
APHAminoglycoside O-phosphotransferase
IZSLERIstituto Zooprofilattico Sperimentale Emilia-Romagna e Lombardia
BPWBuffered Peptone Water
TBXTriptone bile-X-gluc
TSATryptic soy agar
CIPRCiprofloxacin
NALNalidixic Acid
MEROMeropenem
AMIAmikacin
PMQRPlasmid-Mediated Quinolones Resistances

References

  1. European Food Safety Authority (EFSA); European Centre for Disease Prevention and Control (ECDC); European Medicine Agency (EMA). EFSA/ECDC/EMA second joint report on the integrated analysis of the consumption of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals: Joint Interagency Antimicrobial Consumption and Resistance Analysis (JIACRA) Report. EFSA J. 2017, 15, 4872–5007. [Google Scholar] [CrossRef]
  2. Hoelzer, K.; Wong, N.; Thomas, J.; Talkington, K.; Jungman, E.; Coukell, A. Antimicrobial drug use in food-producing animals and associated human health risks: What, and how strong, is the evidence? BMC Vet. Res. 2017, 13, 211. [Google Scholar] [CrossRef] [PubMed]
  3. Cassini, A.; Högberg, L.D.; Plachouras, D.; Quattrocchi, A.; Hoxha, A.; Simonsen, G.S.; Colomb-Cotinat, M.; Kretzschmar, M.E.; Devleesschauwer, B.; Cecchini, M.; et al. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: A population-level modelling analysis. Lancet Infect. Dis. 2019, 19, 56–66. [Google Scholar] [CrossRef] [Green Version]
  4. Atac, N.; Kurt-Azap, O.; Dolapci, I.; Yesilkaya, A.; Ergonul, O.; Gonen, M.; Can, F. The Role of AcrAB-TolC Efflux Pumps on Quinolone Resistance of E. coli ST131. Curr. Microbiol. 2018, 75, 1661–1666. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Hooper, D.C. Emerging mechanisms of fluoroquinolone resistance. Emerg. Infect. Dis. 2001, 7, 337–341. [Google Scholar] [CrossRef] [Green Version]
  6. Hooper, D.C.; Jacoby, G.A. Mechanisms of drug resistance: Quinolone resistance. Ann. N. Y. Acad. Sci. 2015, 1354, 12–31. [Google Scholar] [CrossRef] [Green Version]
  7. Bush, N.G.; Diez-Santos, I.; Abbott, L.R.; Maxwell, A. Quinolones: Mechanism, Lethality and Their Contributions to Antibiotic Resistance. Molecules 2020, 25, 5662. [Google Scholar] [CrossRef]
  8. Correia, S.; Poeta, P.; Hébraud, M.; Capelo, J.L.; Igrejas, G. Mechanisms of quinolone action and resistance: Where do we stand? J. Med. Microbiol. 2017, 66, 551–559. [Google Scholar] [CrossRef]
  9. Díaz, P.Q.; Bello, H.T.; Domínguez, M.Y.; Trabal, N.F.; Mella, S.M.; Zemelman, R.Z.; González, G.R. Resistance to gentamicin, amikacin and ciprofloxacin among nosocomial isolates of Klebsiella pneumoniae subspecie pneumoniae producing extended spectrum beta-lactamases. Rev. Med. Chil. 2004, 132, 1173–1178. [Google Scholar] [CrossRef] [Green Version]
  10. Sacha, P.; Jaworowska, J.; Ojdana, D.; Wieczorek, P.; Czaban, S.; Tryniszewska, E. Occurrence of the aacA4 gene among multidrug resistant strains of Pseudomonas aeruginosa isolated from bronchial secretions obtained from the intensive therapy unit at university hospital in Bialystok, Poland. Folia Histochem. Cytobiol. 2012, 50, 322–324. [Google Scholar] [CrossRef]
  11. Yekani, M.; Baghi, H.B.; Sefidan, F.Y.; Azargun, R.; Memar, M.Y.; Ghotaslou, R. The rates of quinolone, trimethoprim/sulfamethoxazole and aminoglycoside resistance among Enterobacteriaceae isolated from urinary tract infections in Azerbaijan, Iran. GMS Hyg. Infect. Control 2018, 13, Doc07. [Google Scholar] [CrossRef]
  12. Mingeot-Leclercq, M.-P.; Glupczynski, Y.; Tulkens, P.M. Aminoglycosides: Activity and Resistance. Antimicrob. Agents Chemother. 1999, 43, 727–737. [Google Scholar] [CrossRef] [Green Version]
  13. Ramirez, M.S.; Tolmasky, M.E. Amikacin: Uses, Resistance, and Prospects for Inhibition. Molecules 2017, 22, 2267. [Google Scholar] [CrossRef] [Green Version]
  14. Shi, Y.; Li, C.; Yang, G.; Xia, X.; Mao, X.; Fang, Y.; Zhang, A.M.; Song, Y. A rapid and accurate method for the detection of four aminoglycoside modifying enzyme drug resistance gene in clinical strains of Escherichia coli by a multiplex polymerase chain reaction. PeerJ 2020, 8, e8944. [Google Scholar] [CrossRef] [Green Version]
  15. Wei, M.; Tu, N.; Yang, K. Resistance Mechanism of Carbapenem-Resistant Enterobacteriaceae to Quinolones. Clin. Lab. 2021, 67, 1747–1753. [Google Scholar] [CrossRef]
  16. Durante-Mangoni, E.; Andini, R.; Zampino, R. Management of carbapenem-resistant Enterobacteriaceae infections. Clin. Microbiol. Infect. 2019, 25, 943–950. [Google Scholar] [CrossRef]
  17. Tompkins, K.; van Duin, D. Treatment for carbapenem-resistant Enterobacterales infections: Recent advances and future directions. Eur. J. Clin. Microbiol. Infect. Dis. 2021, 40, 2053–2068. [Google Scholar] [CrossRef]
  18. European Food Safety Authority (EFSA); Aerts, M.; Battisti, A.; Hendriksen, R.; Kempf, I.; Teale, C.; Tenhagen, B.A.; Veldman, K.; Wasyl, D.; Guerra, B.; et al. Technical specifications on harmonised monitoring of antimicrobial resistance in zoonotic and indicator bacteria from food-producing animals and food. EFSA J. 2019, 17, e05709. [Google Scholar] [CrossRef] [Green Version]
  19. European Food Safety Authority (EFSA); European Centre for Disease Prevention and Control (ECDC); European Medicine Agency (EMA). Third joint inter-agency report on integrated analysis of consumption of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals in the EU/EEA. EFSA J. 2021, 19, 6712. [Google Scholar] [CrossRef]
  20. Kim, S.; Kim, H.; Kim, Y.; Kim, M.; Kwak, H.; Ryu, S. Whole-Genome Sequencing-Based Characteristics in Extended-Spectrum Beta-Lactamase-Producing Escherichia coli Isolated from Retail Meats in Korea. Microorganisms 2020, 8, 508. [Google Scholar] [CrossRef]
  21. Sacher-Pirklbauer, A.; Klein-Jöbstl, D.; Sofka, D.; Blanc-Potard, A.B.; Hilbert, F. Phylogenetic Groups and Antimicrobial Resistance Genes in Escherichia coli from Different Meat Species. Antibiotics 2021, 10, 1543. [Google Scholar] [CrossRef] [PubMed]
  22. Rincón-Gamboa, S.M.; Poutou-Piñales, R.A.; Carrascal-Camacho, A.K. Antimicrobial resistance of non-typhoid Salmonella in meat and meat products. Foods 2021, 10, 1731. [Google Scholar] [CrossRef] [PubMed]
  23. Rega, M.; Carmosino, I.; Bonilauri, P.; Frascolla, V.; Vismarra, A.; Bacci, C. Prevalence of ESβL, AmpC and colistin-resistant E. coli in meat: A comparison between pork and wild boar. Microorganisms 2021, 9, 214. [Google Scholar] [CrossRef] [PubMed]
  24. Leverstein-van Hall, M.A.; Dierikx, C.M.; Cohen Stuart, J.; Voets, G.M.; van den Munckhof, M.P.; van Essen-Zandbergen, A.; Platteel, T.; Fluit, A.C.; van de Sande-Bruinsma, N.; Scharinga, J.; et al. Dutch patients, retail chicken meat and poultry share the same ESBL genes, plasmids and strains. Clin. Microbiol. Infect. 2011, 17, 873–880. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Much, P.; Sun, H.; Lassnig, H.; Koeberl-Jelovcan, S.; Schliessnig, H.; Stueger, H.P. Differences in antimicrobial resistance of commensal Escherichia coli isolated from caecal contents of organically and conventionally raised broilers in Austria, 2010–2014 and 2016. Prev. Vet. Med. 2019, 171, 104755. [Google Scholar] [CrossRef] [PubMed]
  26. Headd, B.; Bradford, S.A. The Conjugation Window in an Escherichia coli K-12 Strain with an IncFII Plasmid. Appl. Environ. Microbiol. 2020, 86, e00948-20. [Google Scholar] [CrossRef]
  27. Bacci, C.; Barilli, E.; Frascolla, V.; Rega, M.; Torreggiani, C.; Vismarra, A. Antibiotic Treatment Administered to Pigs and Antibiotic Resistance of Escherichia coli Isolated from Their Feces and Carcasses. Microb. Drug Resist. 2020, 26, 1081–1089. [Google Scholar] [CrossRef]
  28. Li, L.; Olsen, R.H.; Ye, L.; Yan, H.; Nie, Q.; Meng, H.; Shi, L. Antimicrobial Resistance and Resistance Genes in Aerobic Bacteria Isolated from Pork at Slaughter. J. Food Prot. 2016, 79, 589–597. [Google Scholar] [CrossRef]
  29. Torres, R.T.; Fernandes, J.; Carvalho, J.; Cunha, M.V.; Caetano, T.; Mendo, S.; Serrano, E.; Fonseca, C. Wild boar as a reservoir of antimicrobial resistance. Sci. Total Environ. 2020, 717, 135001. [Google Scholar] [CrossRef]
  30. Arnold, K.E.; Williams, N.J.; Bennett, M. Pathogen biology “Disperse abroad in the land”: The role of wildlife in the dissemination of antimicrobial resistance. Biol. Lett. 2016, 12, 220160137. [Google Scholar] [CrossRef]
  31. Macià, M.D.; Rojo-Molinero, E.; Oliver, A. Antimicrobial susceptibility testing in biofilm-growing bacteria. Clin. Microbiol. Infect. 2014, 20, 981–990. [Google Scholar] [CrossRef] [Green Version]
  32. Donlan, R.M.; Costerton, J.W. Biofilms: Survival Mechanisms of Clinically Relevant Microorganisms. Clin. Microbiol. Rev. 2002, 15, 167. [Google Scholar] [CrossRef] [Green Version]
  33. Carattoli, A. Plasmids and the spread of resistance. Int. J. Med. Microbiol. 2013, 303, 298–304. [Google Scholar] [CrossRef]
  34. ISO 16649-2:2001; Microbiology of Food and Animal Feeding Stuffs—Horizontal Method for the Enumeration of Beta-Glucuronidase-Positive Escherichia coli—Part 2: Colony-Count Technique at 44 Degrees C Using 5-Bromo-4-Chloro-3-Indolyl Beta-D-Glucuronide. International Organization for Standardization: Geneva, Switzerland, 2001.
  35. ISO 17025:2018; Testing and Calibration Laboratories. International Organization for Standardization: Geneva, Switzerland, 2018.
  36. European Committee on Antimicrobial Susceptibility Testing (EUCAST). Breakpoint Tables for Interpretation of Mics and Zone Diameters, Version 8.1. 2018. Available online: http://www.eucast.org (accessed on 24 March 2022).
  37. Clinical & Laboratory Standard Institute (CLSI). M100 Performance Standards for Antimicrobial Susceptibility Testing A CLSI Supplement for Global Application, 28th ed.; Clinical & Laboratory Standard Institute: Wayne, PA, USA, 2022; Available online: www.clsi.org (accessed on 22 February 2022).
  38. Onseedaeng, S.; Ratthawongjirakul, P. Rapid Detection of Genomic Mutations in gyrA and parC Genes of Escherichia coli by Multiplex Allele Specific Polymerase Chain Reaction. J. Clin. Lab. Anal. 2016, 30, 947–955. [Google Scholar] [CrossRef] [Green Version]
  39. Salah, F.D.; Soubeiga, S.T.; Ouattara, A.K.; Sadji, A.Y.; Metuor-Dabire, A.; Obiri-Yeboah, D.; Banla-Kere, A.; Karou, S.; Simpore, J. Distribution of quinolone resistance gene (qnr) in ESBL- producing Escherichia coli and Klebsiella spp. in Lomé, Togo. Antimicrob. Resist. Infect. Control 2019, 8, 104. [Google Scholar] [CrossRef] [Green Version]
  40. Doyle, D.; Peirano, G.; Lascols, C.; Lloyd, T.; Church, D.L.; Pitouta, J.D.D. Laboratory detection of Enterobacteriaceae that produce carbapenemases. J. Clin. Microbiol. 2012, 50, 3877–3880. [Google Scholar] [CrossRef] [Green Version]
  41. O’Toole, G.A. Microtiter Dish Biofilm Formation Assay. J. Vis. Exp. 2011, 47, 2437. [Google Scholar] [CrossRef]
  42. Jaja, I.F.; Oguttu, J.; Jaja, C.J.I.; Green, E. Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa. PLoS ONE 2020, 15, e0216914. [Google Scholar] [CrossRef]
  43. Collineau, L.; Carmo, L.P.; Endimiani, A.; Magouras, I.; Müntener, C.; Schüpbach-Regula, G.; Stärk, K.D.C. Risk Ranking of Antimicrobial-Resistant Hazards Found in Meat in Switzerland. Risk Anal. 2018, 38, 1070–1084. [Google Scholar] [CrossRef]
  44. Schrijver, R.; Stijntjes, M.; Rodríguez-Baño, J.; Tacconelli, E.; Babu Rajendran, N.; Voss, A. Review of antimicrobial resistance surveillance programmes in livestock and meat in EU with focus on humans. Clin. Microbiol. Infect. 2018, 24, 577–590. [Google Scholar] [CrossRef]
  45. Bonardi, S.; Filipello, V.; Pavoni, E.; Carta, V.; Bolzoni, L.; Corradi, M.; Gilioli, S.; Losio, M.N. Geographical restriction of Hepatitis E virus circulation in wild boars (Sus scrofa) in Emilia-Romagna region, Northern Italy. Ital. J. Food Saf. 2020, 9, 8463. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. European Food Safety Authority (EFSA); European Centre for Disease Prevention and Control (ECDC). The European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2018/2019. EFSA J. 2021, 19, e06490. [Google Scholar] [CrossRef]
  47. AbuOun, M.; O’Connor, H.M.; Stubberfield, E.J.; Nunez-Garcia, J.; Sayers, E.; Crook, D.W.; Smith, R.P.; Anjum, M.F. Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain. Front. Microbiol. 2020, 11, 861. [Google Scholar] [CrossRef] [PubMed]
  48. Kaspersen, H.; Sekse, C.; Fiskebeck, E.Z.; Slettemeas, J.S.; Simm, R.; Norström, M.; Urdahl, A.M.; Lagesen, K. Dissemination of quinolone-resistant Escherichia coli in the Norwegian broiler and pig production chains and possible persistence in the broiler production environment. Appl. Environ. Microbiol. 2020, 86, e02769-19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Poirel, L.; Madec, J.-Y.; Lupo, A.; Schink, A.-K.; Kieffer, N.; Nordmann, P.; Schwarz, S. Antimicrobial Resistance in Escherichia coli. Microbiol. Spectr. 2018, 6. [Google Scholar] [CrossRef] [Green Version]
  50. Velhner, M.; Todorović, D.; Grego, E.; Jovčić, B.; Prunić, B.; Stojanov, I.; Kehrenberg, C. Fluoroquinolone-resistant and extended-spectrum beta-lactamase producing Escherichia coli isolates from free-living wild animals. Vet. Microbiol. 2018, 223, 168–172. [Google Scholar] [CrossRef]
  51. Mercato, A.; Cortimiglia, C.; Abualsha’ar, A.; Piazza, A.; Marchesini, F.; Milani, G.; Bonardi, S.; Cocconcelli, P.S.; Migliavacca, R. Wild Boars as an Indicator of Environmental Spread of ESβL-Producing Escherichia coli. Front. Microbiol. 2022, 13, 943. [Google Scholar] [CrossRef]
  52. Rodríguez-Martínez, J.M.; Cano, M.E.; Velasco, C.; Martínez-Martínez, L.; Pascual, Á. Plasmid-mediated quinolone resistance: An update. J. Infect. Chemother. 2011, 17, 149–182. [Google Scholar] [CrossRef]
  53. Park, H.; Kim, J.; Ryu, S.; Jeon, B. The rate of frequent co-existence of plasmid-mediated quinolone resistance (PMQR) and extended-spectrum b-lactamase (ESBL) genes in Escherichia coli isolates from retail raw chicken in South Korea. Food Sci. Biotechnol. 2022, 31, 739–743. [Google Scholar] [CrossRef]
  54. Pavlickova, S.; Klancnik, A.; Dolezalova, M.; Mozina, S.S.; Holko, I. Antibiotic resistance, virulence factors and biofilm formation ability in Escherichia coli strains isolated from chicken meat and wildlife in the Czech Republic. J. Environ. Sci. Health 2017, 52, 570–576. [Google Scholar] [CrossRef]
  55. Milho, C.; Silva, M.D.; Alves, D.; Oliveira, H.; Sousa, C.; Pastrana, L.M.; Azeredo, J.; Sillankorva, S. Escherichia coli and Salmonella Enteritidis dual-species biofilms: Interspecies interactions and antibiofilm efficacy of phages. Sci. Rep. 2019, 9, 18183. [Google Scholar] [CrossRef] [Green Version]
  56. Barilli, E.; Vismarra, A.; Frascolla, V.; Rega, M.; Bacci, C. Escherichia coli Strains Isolated from Retail Meat Products: Evaluation of Biofilm Formation Ability, Antibiotic Resistance, and Phylogenetic Group Analysis. J. Food Prot. 2020, 14, 233–240. [Google Scholar] [CrossRef]
  57. Orsoni, F.; Romeo, C.; Ferrari, N.; Bardasi, L.; Merialdi, G.; Barbani, R. Factors affecting the microbiological load of Italian hunted wild boar meat (Sus scrofa). Meat Sci. 2020, 160, 107967. [Google Scholar] [CrossRef]
Table 1. Oligonucleotide primers and PCR conditions used in this study.
Table 1. Oligonucleotide primers and PCR conditions used in this study.
GenesSequencesSize bpPCR ConditionsReference
Quinolone Resistance-Determining Regions
gyrAF 5′-TACACCGGTCAACATTGAGG-3′
R 5′-TTAATGATTGCCGCCGTCGG-3′
647Denaturation 94 °C for 5 min, 30 cycles 94 °C for 30 s, 60 °C for 1 min, 74 °C for 2 min, and a final extension at 74 °C for 10 minFinal volume 25 μL: 2x Green GoTaq Flexi Buffer, 1.5 mM of MgCl2, 0.2 mM of dNTPs, 1 U of GoTaq G2 Flexi DNA Polymerase, primers at 1 μM,1 μL of sample lysate, Nuclease Free Water to final volume.[38]
gyrA 83F 5′-TACCATCCCCATGGTGACTC-3′440
gyrA 87R 5′GCCATGCGGACAATCGTGTC-3′255
parCF 5′-AAACCTGTTCAGCGCCGCATT-3′
R 5′-GTGGTGCCGTTAAGCAAA-3′
395Final volume 25 μL: 2x Green GoTaq Flexi Buffer, 4 mM of MgCl2, 0.4 mM of dNTPs, 1.25 U of GoTaq G2 Flexi DNA Polymerase, primers at 0.4 μM, 1 μL of sample lysate, Nuclease Free Water to final volume.
parC 80F 5′-AATACCATCCGCACGGCGATAG-3′289
parC 84R 5′CGCCATCAGGACCATCGGTT-3′153
uspAF 5′- CCGATACGCTGCCAATCAGT-3′
R 5′-ACGCAGACCGTAGGCCAGAT -3′
884uspA was added as internal control at the conditions described above
Plasmid-Mediated Quinolone Resistance Genes
qnrAF: 5′-ATTTCTCACGCCAGGATTTG-3′
R: 5′-GATCGGCAAAGGTTAGGTCA-3′
515Denaturation 92 °C for 5 min, 30 cycles 95 °C for 45 s, 58 °C for 45 s, 72 °C for 1 min, a final extension at 72 °C for 10 minFinal volume 50 μL: 1x Green GoTaq Flexi Buffer, 2.5 mM of MgCl2, 0.2 mM of dNTPs, 1.5 U of GoTaq G2 Flexi DNA Polymerase, primers at 0.5 μM,1 μL of sample lysate, Nuclease Free Water to final volume.[39]
qnrBF: 5′-GATCGTGAAAGCCAGAAAGG-3′
R: 5′-ACGATGCCTGGTAGTTGTCC-3′
469
qnrSF: 5′-ACGACATTCGTCAACTGCAA-3′
R: 5′-TAAATTGGCACCCTGTAGGC-3′
417
β-lactams resistance genes
blaKPCF: 5′- TGTCACTGTATCGCCGTC-3′
R: 5′-CTCAGTGCTCTACAGAAAACC-3′
900Denaturation 95 °C for 5 min, 35 cycles 95 °C for 45 s, 62 °C for 30 s, 72 °C for 1 min, and a final extension at 72 °C for 8 minFinal volume 50 μL: 1x Green GoTaq Flexi Buffer, 2 mM of MgCl2, 0.2 mM of dNTPs, 2 U of GoTaq G2 Flexi DNA Polymerase, primers blaKPC, blaIMP, blaVIM at 0.3 μM, primers blaNDM at 0.4 μM, primers blaoxa-48-like 0.5 μM, 1 μL of sample lysate, Nuclease Free Water to final volume.[40]
blaIMPF: 5′-GAAGGCGTTTATGTTCATAC
R: 5′-GTACGTTTCAAGAGTGATGC-3′
587
blaVIMF: 5′-GTTTGGTCGCATATCGCAAC-3′
R: 5′-AATGCGCAGCACCAGGATAG-3′
389
blaNDMF: 5′-GCAGCTTGTCGGCCATGCGGGC-3′
R: 5′-GTCGCGAAGCTGAGCACCGCAT-3′
782
blaoxa-48-likeF:5′-GCGTGGTTAAGGATGAACAC-3′
R:5′-CATCAAGTTCAACCCAACCG-3′
438
Aminoglycosides modifying enzyme-encoding genes
Aac(6′)-IbF 5′-CCCAGTCGTACGTTGCTCTT-3′
R 5′- AAACCCCGCTTTCTCGTAGC-3′
239Denaturation 95 °C for 5 min, 30 cycles 95 °C for 30 s, 63 °C for 1 min, 72 °C for 2 min, and a final extension at 72 °C for 10 minFinal volume 50 μL: 1x Green GoTaq Flexi Buffer, 3 mM of MgCl2, 0.2 mM of dNTPs, 2 U of GoTaq G2 Flexi DNA Polymerase, primers at 0.4 μM except for Ant(3”)-Ia at 0.3 μM, 1 μL of sample lysate, Nuclease Free Water to final volume.[14]
Ant(3″)-IaF 5′-CCGGTTCCTGAACAGGATC-3′
R 5′-CCCAGTCGGCAGCGACATC-3′
180
Aph(3′)-IaF 5′-CAAGATGGATTGCACGCAGG-3′
R 5′-TTCAGTGACAACGTCGAGCA-3′
317
Aac(3)-IIF 5′-GCTCGGTTGGATGACAAAGC-3′
R 5′-AGGCGACTTCACCGTTTCTT-3′
379
Table 2. Phenotypic resistant and intermediate profiles of E. coli isolated from pork and wild boars meat sample.
Table 2. Phenotypic resistant and intermediate profiles of E. coli isolated from pork and wild boars meat sample.
No Pork E. coli (%)QuinolonesTotal
Resistant
Profile
Intermediate ProfileNone
CIPRONALCIPRO + NALCIPRONALCIPRO + NAL
AminoglycosidesResistant profileAMI-2
(1%)
3
(1.5%)
-7 (3.5%)-1 (0.5%)13 (6.6%)
Intermediate profileAMI-27 (13.6%)6
(3%)
-38 (19.1%)-6 (3%)77 (38.9%)
None-43 (21.7%)2
(1%)
-63 (31.8%)--108 (54.5%)
TOTAL-72 (36.4%)11
(5.5%)
-108 (54.5%)-7 (3.5%)198
No Wild boars E. coli (%)
AminoglycosidesResistant profileAMI-1
(0.4%)
1
(0.4%)
-2
(0.9%)
--4
(1.8%)
Intermediate profileAMI-42
(19%)
--50 (22.6%)4
(1.8%)
2
(0.9%)
98
(44.3%)
None-36 (16.3%)--80 (36.2%)3
(1.4%)
-119
(53.8%)
TOTAL-79 (35.7%)1
(0.4%)
-132 (59.7%)7
(3.2%)
2
(0.9%)
221
Table 3. Plasmid-mediated genes co-presence in E. coli isolated from pork and wild boar meat.
Table 3. Plasmid-mediated genes co-presence in E. coli isolated from pork and wild boar meat.
No Pork
E. coli
QuinolonesAminoglycosides
qnrAqnrBqnrSAac(3)-IIAac(6′)-IbAnt(3”)-IaAph(”)-Ia
1 x
3 x
2 x
1 x x
1 x x
3 x x
6 x x
1 xx
1x xx
1 xx x
No Wild boar E. coli
1 x
3 x
2 x x
5 x x
1 xx
4 x xx
1 x xx
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Rega, M.; Andriani, L.; Cavallo, S.; Bonilauri, P.; Bonardi, S.; Conter, M.; Carmosino, I.; Bacci, C. Antimicrobial Resistant E. coli in Pork and Wild Boar Meat: A Risk to Consumers. Foods 2022, 11, 3662. https://0-doi-org.brum.beds.ac.uk/10.3390/foods11223662

AMA Style

Rega M, Andriani L, Cavallo S, Bonilauri P, Bonardi S, Conter M, Carmosino I, Bacci C. Antimicrobial Resistant E. coli in Pork and Wild Boar Meat: A Risk to Consumers. Foods. 2022; 11(22):3662. https://0-doi-org.brum.beds.ac.uk/10.3390/foods11223662

Chicago/Turabian Style

Rega, Martina, Laura Andriani, Silvia Cavallo, Paolo Bonilauri, Silvia Bonardi, Mauro Conter, Ilaria Carmosino, and Cristina Bacci. 2022. "Antimicrobial Resistant E. coli in Pork and Wild Boar Meat: A Risk to Consumers" Foods 11, no. 22: 3662. https://0-doi-org.brum.beds.ac.uk/10.3390/foods11223662

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop