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Article

Prevalence and Antibiotic Resistance of Salmonella spp. and Campylobacter spp. Isolated from Retail Chickens in Saudi Arabia

by
Sulaiman F. Aljasir
1,* and
Sahar A. Allam
2
1
Department of Veterinary Preventive Medicine, College of Veterinary Medicine, Qassim University, Buraydah 51452, Saudi Arabia
2
Infectious Disease Unit, Animal and Poultry Health Department, Animal and Poultry Production Division, Desert Research Center, 1 Mataria Museum Street, Cairo 11753, Egypt
*
Author to whom correspondence should be addressed.
Microbiol. Res. 2025, 16(1), 27; https://doi.org/10.3390/microbiolres16010027
Submission received: 21 December 2024 / Revised: 10 January 2025 / Accepted: 15 January 2025 / Published: 19 January 2025
(This article belongs to the Collection Public Health and Quality Aspects Related to Animal Productions)

Abstract

:
Foodborne pathogens such as Salmonella spp.and Campylobacter spp. pose significant threats to the safety of broiler meat worldwide. However, data on their prevalence in retail chicken meat in Saudi Arabia are scarce. This context mainly concerns the vast poultry market in Saudi Arabia, which may double by 2030. The overall objective of this study was to determine the prevalence and antibiotic resistance of Salmonella spp. and Campylobacter spp. in retail chickens from small, medium-sized, and large production companies in Saudi Arabia. Of the 212 chicken samples tested, Salmonella was detected in 9.3% of samples, all identified as Salmonella enterica serovar Enteritidis. Campylobacter was more prevalent, found in 35.8% of samples, with Campylobacter jejuni accounting for 26.4% and Campylobacter coli for 9.3%. Pathogen prevalence was higher in small-scale than in medium-sized and large producers. Salmonella Enteritidis isolates were resistant to nalidixic acid (90%), amoxicillin-clavulanic acid, and tetracycline (70%). Most Campylobacter coli isolates (90%) exhibited resistance to erythromycin, clindamycin, and gentamicin, followed by tetracycline (80%). Campylobacter jejuni isolates showed high resistance to erythromycin, clindamycin, tetracycline, azithromycin, and nalidixic acid (75–92%). Multidrug resistance (MDR) was observed in all Campylobacter jejuni isolates, 90% of Campylobacter coli isolates, and 70% of Salmonella isolates. These findings underscore the urgent need for adherence to food safety guidelines, particularly in small-scale poultry farms. The pervasive presence of MDR Salmonella spp. and Campylobacter spp. in broiler meat calls for enhanced surveillance, stricter enforcement of food safety practices, and public health initiatives to mitigate the risk of foodborne diseases in Saudi Arabia.

1. Introduction

Meat from poultry is an important source of protein; it is widely consumed across numerous cultures. However, poultry meat is highly susceptible to spoilage and is frequently implicated as a vehicle for foodborne pathogens [1]. This issue presents a significant public health hazard, not only due to the spread of foodborne diseases, such as those caused by Salmonella, Shigella, Campylobacter, pathoganic Escherichia coli, and Listeria monocytogenes, but also because some of these pathogens often exhibit multidrug resistance that limits treatment options in hospital settings and may complicate the management of foodborne infections [2,3]. Among these pathogens, Salmonella and Campylobacter are recognized as the most important pathogens associated with foodborne outbreaks linked to the consumption of poultry. These two pathogens are commonly identified as major contributors to the burden of foodborne illnesses worldwide, with poultry meat serving as a major transmission vehicle [4]. Infection with these pathogens causes self-limiting symptoms, including diarrhea, vomiting, nausea, abdominal pain, and sometimes fever. However, the invasive form causes post-infection complications. In some cases, this may lead to enteric fever, focal systemic infections, bacteremia, hepatosplenomegaly, and respiratory complications, especially in immunodeficient individuals [4,5].
Salmonella is a facultative anaerobic member of the Enterobacteriaceae. It is Gram-negative, rod-shaped, non-lactose fermenting, non-spore-forming, and grows optimally between 35 °C and 37 °C. As the most common foodborne pathogen isolated from food-producing animals, Salmonella is a zoonotic bacterium capable of transmission between humans, animals, and birds. With approximately 2600 known serovars, Salmonella infections pose a significant public health challenge due to their widespread occurrence and potential severity [6]. On the other hand, Campylobacter is a microaerophilic, Gram-negative bacterium with a curved or spiral shape [7]. Most Campylobacter spp. are motile; they are equipped with a flagellum at one or both poles, enabling their characteristic corkscrew-like motion. Campylobacter spp. inhabit the gastrointestinal tracts of warm-blooded animals, particularly poultry, where the temperature of 41–42 °C creates ideal growth conditions. This adaptation makes Campylobacter an important zoonotic pathogen that poses significant risks to humans and animals through infectious diseases [8]. The stability of different Campylobacter spp. varies significantly under different environmental conditions, influencing their survival and transmission [9,10]. Human campylobacteriosis is caused primarily by Campylobacter jejuni and Campylobacter coli [11]. One severe complication associated with Campylobacter jejuni infections is Guillain–Barré syndrome, an autoimmune neurological disorder initiated by molecular mimicry between Campylobacter jejuni outer membrane lipooligosaccharides and human peripheral nerve gangliosides [12].
The increasing prevalence of antibiotic-resistant bacteria, facilitated by horizontal gene transfer, presents a significant challenge to modern medicine and public health [13]. Resistance in Salmonella spp.and Campylobacter spp. has escalated sharply in recent years, driven largely by the overuse of antimicrobial agents in agriculture and healthcare settings [14]. Of particular concern are MDR Salmonella serovars, which have acquired resistance to three or more classes of antibiotics, complicating treatment options and undermining efforts to control infections [15].
Recent epidemiological data indicate that the consumption of poultry meat could be implicated in over 30% of global foodborne salmonellosis cases and over 50% of campylobacteriosis cases [16]. According to the Ministry of Health (MOH) in Saudi Arabia, Salmonella spp. is the leading cause of foodborne-related outbreaks, accounting for over 70% of reported foodborne outbreaks [14]. Campylobacter spp. is also among the leading causes of bacterial gastroenteritis; it is often associated with the consumption of contaminated poultry products [17]. The antibiotic resistance of Salmonella spp. and Campylobacter spp. has recently increased due to the overuse of antibiotics, which is considered a problem for public health [18].
In the last few decades, poultry meat consumption has increased worldwide and is projected to double by 2050 [19]. In Saudi Arabia, the chicken meat industry is dominated by ten companies, including three large ones and seven medium- to small-sized farms. Together, these companies control up to 95 percent of the country’s chicken production. In 2021, poultry production in Saudi Arabia was estimated to be over 900,000 metric tons (MT), reaching a 60% self-sufficiency level. That year, Saudi Arabia also imported about 500,000 MT of chicken meat, with over 70% sourced from Brazil. The Saudi Ministry of Environment, Water, and Agriculture (MEWA) has revealed plans to increase the self-sufficiency level from 60% (as of 2020) to over 85% by 2030. Therefore, enhancing the safety of broiler chicken and other poultry products is warranted. The overall objective of this paper was to determine the prevalence and antibiotic resistance of Salmonella spp. and Campylobacter spp. in retail chickens from small, medium-sized, and large production companies in Saudi Arabia [20].

2. Materials and Methods

2.1. Sample Collection

Between January and March 2023, a total of 212 chilled retail chickens were purchased from supermarkets in Qassim and Riyadh, Saudi Arabia. The supermarkets were selected randomly, representing a mix of large retail chains with multiple branches and smaller independent stores. The purchased chickens, representing 106 sampling points, were collected in pairs from the same producer, with the same production date, and purchased from the same store. The samples, representing nine local poultry brands in Saudi Arabia, were categorized by production capacity into large-sized (3 brands), medium-sized (3 brands), and small-sized (3 brands) farms according to the classifications provided by the MEWA, the official governmental body overseeing poultry production in Saudi Arabia [20]. Qassim and Riyadh were chosen for sampling based on their centralized facilities that distribute poultry products nationwide. Therefore, collecting samples from these locations provided a representative overview of retail chicken products available throughout Saudi Arabia. All collected samples were immediately transported under refrigerated conditions to the laboratory for analysis.

2.2. Bacterial Isolation and Identification

2.2.1. Salmonella Isolation and Serotyping

The skins and internal organs from two chickens at the same sampling point were placed in a sterile plastic bag, rinsed with 225 mL of buffered peptone water for 2 min, and then homogenized for 1 min. The resulting mixture was transferred into a sterile jar and incubated overnight at 36 °C to allow for the recovery of injured cells. After incubation, 1 mL of the suspension was added to 10 mL of Rappaport Vassiliadis soy broth (RVS) (Neogen, Lansing, MI, USA ), and it was incubated at 42 °C for 24 h. Following selective enrichment, the suspensions were streaked onto xylose lysine deoxycholate (XLD) agar (Neogen) and incubated overnight at 37 °C. Candidate colonies were then streaked onto Hektoen agar (Biolife, Layton, Utah, USA) for another overnight incubation at the same temperature. Single colonies exhibiting typical Salmonella phenotypes were biochemically confirmed by streaking onto triple sugar iron (TSI) agar, as well as urease and lysine decarboxylase tests as previously described [21,22]. After incubation at 37 °C for 24 h, colonies identified as Salmonella were preserved at −80 °C for further analyses. Positive isolates were serotyped according to the White Kauffmann Le Minor scheme via slide agglutination using specific O and H antisera [23].

2.2.2. Campylobacter Isolation

Campylobacter spp. were isolated following the protocols outlined in the FDA bacteriological analytical manual [24] and ISO 10272-1 [25]. Each 25 g broiler sample was homogenized for 5 min with 100 mL of peptone broth. The homogenates were then enriched by mixing 2 mL of the sample with 10 mL of modified Preston media supplemented with acumedia (Neogen), and the solution was incubated at 37 °C for 48 h under microaerophilic conditions (5% O2, 10% CO2, and 85% N2) using the CampyGen gas-generating kit (Oxoid, Thermo Fisher Scientific, Basingstoke, UK). Post-enrichment, 200 μL of each suspension was plated onto modified charcoal cefoperazone deoxycholate agar, and five suspect colonies with characteristic Campylobacter spp. morphology were purified through sub-culturing. Identification at the genus level involved assessing bacterial growth at different temperatures, cell morphology, and motility using dark-field microscopy, as well as oxidase tests (Biolife) [26,27].

2.2.3. Molecular Identification

Isolates stored at −80 °C were inoculated into BHI broth and incubated at 37 °C for Salmonella spp. and at 42 °C under microaerophilic conditions for Campylobacter spp. for 24 h. Genomic DNA was extracted using the QIAamp DNA Mini kit (Qiagen, Venlo, The Netherlands) according to the standard protocol, with minor modifications. Briefly, 200 µL of the sample was mixed with 20 µL of proteinase K and 200 µL of lysis buffer, and the samples were incubated at 56 °C for 10 min. After incubation, 200 µL of 100% ethanol was added to the lysate. The sample was then washed and centrifuged according to the manufacturer’s recommendations, with nucleic acids eluted in 100 µL of the provided elution buffer. PCR amplification was performed using primers for virulent genes sourced from the literature: the mapA gene for Campylobacter jejuni [28], the ceuE gene for Campylobacter coli [29], and the inva gene for Salmonella [30]. The 25 µL PCR reaction contained 12.5 µL of EmeraldAmp Max PCR Master Mix (Takara, Shiga, Japan), 1 µL of each primer at a concentration of 20 pmol, 5.5 µL of water, and 5 µL of DNA template. The amplification was carried out in an Applied Biosystems 2720 thermal cycler. PCR products were separated via electrophoresis on a 1.5% agarose gel in 1× TBE buffer at room temperature, using a voltage gradient of 5 V/cm. For gel analysis, 20 µL of the PCR products were loaded into each slot, and fragment sizes were determined using a 100 bp ladder (Fermentas, Burlington, ON, USA). Gels were photographed by gel documentation system (Biometra BDA digital 2.64.11.20, Göttingen, Germany) which allowed the camera to capture images of gels separated via electrophoresis. The data were analyzed using gel documentation system (Alpha Innotech, Biometra, 3.0 Germany) and the accompanying automatic image capture software (Protein Simple, Formerly Cell Bioscience, 6.3.0, Santa Clara, CA, USA).

2.3. Antimicrobial Susceptibility Testing

2.3.1. Salmonella Isolates

Antibiotic susceptibility of Salmonella spp. isolates was studied using the Kirby-Bauer disc diffusion method. Salmonella spp. isolates were cultured in BHI broth, and 20 µL of broth was streaked onto Mueller-Hinton agar using a sterile loop. The selected antibiotics were then applied, and the plates were incubated at 37 °C. The antibiotics tested were ampicillin (10 µg/Disc), cefotaxime (30 µg/Disc), ceftazidime (30 µg/Disc), amoxicillin–clavulanic acid (30 µg/Disc), gentamicin (10 µg/Disc), ciprofloxacin (5 µg/Disc), streptomycin (10 µg/Disc), chloramphenicol (30 µg/Disc), tetracycline (300 µg/Disc), ofloxacin (5 µg/Disc) and nalidixic acid (30 µg/Disc). Interpretations were made according to the instructions of the Clinical and Laboratory Standards Institute [31,32]. Isolates exhibiting inhibition zones of ≤22 mm for ceftazidime and ≤27 mm for cefotaxime were considered positive extended-spectrum beta-lactamase (ESBL). On the other hand, isolates exhibiting inhibition zones of ≤18 mm were considered β-lactamase producers [33,34,35]. The parameters of MDR [36,37] were defined as non-susceptibility to three or more antibiotics of different groups.

2.3.2. Campylobacter Isolates

Antibiotic sensitivity of Campylobacter spp. isolates was conducted according to protocols from The European Committee on Antimicrobial Susceptibility Testing (EUCAST) [38]. Tests were administered on Muller–Hinton agar supplemented with 3% blood and incubated for 24 h at 42 °C under microaerophilic conditions. The following antibiotics were used: doxycycline (30 µg/Disc), erythromycin (15 µg/Disc), azithromycin (15 µg/disc), ciprofloxacin (5 µg/Disc), gentamicin (10 µg/disc), clindamycin (2 µg/Disc), nalidixic acid (30 µg/Disc), and tetracycline (300 µg/Disc).

2.4. Statistical Analysis

The association between farm size and pathogen prevalence was examined with Fisher’s exact test using SAS (version 9.4; SAS Institute Inc., Cary, NC, USA). The level of significance was set at p < 0.05.

3. Results and Discussion

3.1. Prevalence of Salmonella spp. and Campylobacter spp. in Retail Chickens

The prevalence of Salmonella spp. and Campylobacter spp. isolated from retail chicken samples in Saudi Arabia is summarized in Table 1. Of the 212 chicken samples tested, Salmonella was detected in 9.3% of samples, with all identified as Salmonella enterica subsp. enterica serovar Enteritidis (serotype 1,9,12, m:-). Campylobacter was more prevalent, appearing in 35.8% of samples, with 26.4% attributed to Campylobacter jejuni and 9.3% to Campylobacter coli. Details of culture characteristics of Salmonella and Campylobacter isolates along with agar gel electrophoresis images are provided in the Supplementary Figures S1–S8.
The prevalence of Salmonella in retail chicken exhibits significant variability across the literature. In a study conducted in Al-Ahsa Province, Saudi Arabia [39], Al-Dughaym and Altabari reported a 1% prevalence of Salmonella, identifying the serovar as Arizona. Another study in the same province detected Salmonella enterica subsp. enterica serovars Enteritidis and Typhimurium in chicken shawarma sold at fast food restaurants, with prevalences of 19% and 8%, respectively [40]. However, these studies did not specify whether the chicken was locally produced or imported. In Jeddah, Saudi Arabia, a study reported that retail chilled chicken from local companies had a Salmonella prevalence of 35.25% [41]. Studies across the Middle East have reported a relatively higher prevalence of Salmonella, with serovars Kentucky, Typhimurium, and Newport being more common than Enteritidis [42,43,44].
Yehia and AL-Dagal [45] found that almost half of the retail chicken samples tested in Saudi Arabia were positive for the presence of Campylobacter jejuni in Saudi Arabia. Abu-Madi et al. [46] found that Campylobacter jejuni was present in 45.9% of retail chicken produced by Saudi companies and sold in Qatar. Unlike Campylobacter jejuni, the incidence of Campylobacter coli in retail chicken from Saudi producers has rarely been documented in the literature. However, one study reported a single positive sample of Campylobacter coli. By contrast, a study conducted in the United Arab Emirates by Habib et al. [47] found that 28.5% of chicken samples were positive for the presence of Campylobacter, with the majority of these (83%) identified as Campylobacter coli. In Iraq, a study by Kanaan and Mohammed [48] reported that Campylobacter jejuni was detected in 25% of retail frozen chicken meat, while Campylobacter coli was found in 50% of the samples. In Jordan, the prevalence of Campylobacter jejuni in broiler chicken carcasses was found to be 17% [49].
Similarly to our findings, Gritli et al. reported a 100% prevalence of Salmonella enteritidis in poultry in Tunisia [50]. In Egypt, Nicodème et al. [51] reported a prevalence of 91.6% for Campylobacter and 44.4% for Salmonella across various poultry sources. By contrast, Gharbi et al. [52] in Tunisia found no detection of either Campylobacter jejuni or Campylobacter coli in broiler chickens. Similarly, in Morocco, Asmai et al. [53] observed a prevalence of 0% for Campylobacter jejuni and 40% for Campylobacter coli in broiler chickens. Our findings align with those of Azizian et al. [54] in Iran, who reported a prevalence of 14.9% for Campylobacter coli and 85.1% for Campylobacter jejuni. In West Africa, Kouglenou et al. [55] similarly observed a prevalence of 23.4% for Campylobacter jejuni and 7.8% for Campylobacter coli.

3.2. Producer Size and Pathogen Prevalence

Overall, pathogen prevalence was higher in small-scale producers compared to medium- and large-scale producers. The prevalence of Salmonella Enteritidis was significantly higher in small-scale poultry farms (31%) compared to large-scale (2.6%, p < 0.001) and medium-scale farms (0%, p < 0.0002). This could be attributed to greater experience, well-established systems, and advanced laboratories for food safety monitoring typically found in large- and medium-scale poultry companies. In contrast, the prevalence of Campylobacter spp. was 30%, 39%, and 37% in large-, medium-, and small-scale poultry farms, respectively, with no significant differences among the producer sizes. Most Campylobacter isolates from large- and medium-scale poultry farms were identified as Campylobacter jejuni (75% and 93%, respectively), whereas over half of the isolates from small farms were Campylobacter coli (55%).

3.3. Antibiotic Susceptibility of Salmonella spp. and Campylobacter spp. Isolates

The antibiotic susceptibilities of Salmonella Enteritidis and Campylobacter spp. isolates are shown in Table 2 and Table 3, respectively. A higher proportion of Salmonella isolates were resistant to nalidixic acid (nine isolates, 90%), followed by amoxicillin–clavulanic acid and tetracycline (seven isolates, 70%). Among the 10 isolates, 70% exhibited MDR, while 30% were identified as positive for extended-spectrum beta-lactamase production (Table 4). All Salmonella isolates were susceptible to ciprofloxacin, gentamicin, as well as chloramphenicol; nine isolates (90%) were susceptible to ceftazidime and cefotaxime, and eight isolates (80%) were susceptible to ofloxacin.
Similar to our findings, Alzahrani et al. [56] reported that ~77% of Salmonella Enteritidis isolates isolated from retail chicken in Riyadh were resistant to ampicillin and 88% were resistant to nalidixic acid and tetracycline. However, our study observed higher resistance levels to amoxicillin–clavulanic acid (70%) compared to the study of Alzahrani et al. [56], who reported lower levels (11%).
Dishan et al. identified MDR Salmonella Enteritidis with similar antigenic profiles (9:g, m:-) in poultry meat products in Turkey, with the highest resistance observed to doxycycline (96.42%) and trimethoprim–sulfamethoxazole (71.42%) [57]. In our study, Salmonella isolates showed a 60% resistance to ampicillin, differing from Thai et al., who reported low resistance to this antibiotic [58]. Our findings were consistent with those of Yu et al. [59], who recorded ampicillin resistance at 95.3% and tetracycline resistance at 72.7% in Salmonella isolates from chicken broilers in Shandong Province, China, where approximately 75% of Salmonella enteritidis isolates were MDR. Similarly, Waghamare et al. reported a 100% resistance to doxycycline in Salmonella Enteritidis isolates, while Elkenany et al. observed a resistance rate of 40% in chicken carcasses [60,61].
Most Campylobacter coli isolates (nine isolates, 90%) exhibited resistance to erythromycin, clindamycin, and gentamicin, followed by tetracycline (eight isolates, 80%). Lower resistance was observed for doxycycline (10%), ciprofloxacin (20%), and azithromycin (30%). In contrast, a higher proportion of Campylobacter jejuni isolates was resistant to erythromycin and clindamycin (26 isolates, 92.8%), tetracycline (24 isolates, 86%), azithromycin (22 isolates, 78.1%), nalidixic acid (21 isolates, 75%), and gentamicin (18 isolates, 64.3%). The highest susceptibility of Campylobacter jejuni was observed to doxycycline (fourteen isolates, 50%) and to ciprofloxacin (eight isolates, 28.6%). MDR was observed in all Campylobacter jejuni isolates (100%) and the majority of Campylobacter coli isolates (90%) (Table 4). These findings align with those of Yeh et al., who reported resistance to quinolone antibiotics in Campylobacter isolates from chicken liver [45].
A systematic review highlighted resistance levels across the Middle East that were similar to our findings [62]. Habib et al. [47] reported that approximately 40% of Campylobacter coli isolates from retail chicken in the United Arab Emirates were resistant to tetracycline, aligning with other reports from Canada [63], Italy [64], and China [65], where tetracycline resistance ranged from 45 to 95%. The resistance to ciprofloxacin in Campylobacter jejuni (28.6%) and coli (10%) was notably lower than that reported from Jordan, where Alaboudi et al. [66] observed complete resistance in all isolates. However, our study found a significantly higher level of resistance to gentamicin compared to the lower rates reported by Alaboudi et al. Our results revealed a low correlation between resistance to ciprofloxacin and nalidixic acid, contrasting with the findings by Varga et al. [63] Wei et al. [67] reported significantly lower erythromycin resistance levels in Campylobacter jejuni (16.7%) and coli (0%) compared to our study (~90%).
Azithromycin resistance is uncommon in Campylobacter species. Varga et al. [63] reported a lower level of resistance (6%) in Campylobacter isolates from retail chicken in Canada. Similarly, Wei et al. [67] observed azithromycin resistance levels of 19% in Campylobacter jejuni and 0% in Campylobacter coli from retail chicken in South Korea. In contrast, our findings indicate a higher level of resistance to azithromycin, particularly in Campylobacter jejuni (78.1%), posing a public health concern. The extensive and often inappropriate use of antibiotics in poultry is recognized as a significant factor in the development of MDR among commensal and zoonotic enteric bacteria [68].
Our results align with Castro-Vargas [69], who noted that nalidixic acid and ampicillin are typically the first antibiotics to cause resistance in poultry pathogens. Additionally, our study confirmed Campylobacter resistance after screening samples from chicken skin and liver, consistent with findings by Taniguchi et al. [70]. We observed 90% resistance to clindamycin and erythromycin in both Campylobacter jejuni and Campylobacter coli, as well as resistance rates of 50% in Campylobacter coli and 72% in Campylobacter jejuni to nalidixic acid. These findings are similar to those of Yeh et al. [45], who reported quinolone resistance in Campylobacter isolates from chicken liver. Among Campylobacter species, Azizian et al. [54] identified tetracycline resistance as the most common (70.6%), followed by ciprofloxacin (63.7%) and amoxicillin (27.5%), with gentamicin being the most effective antibiotic. Similarly, Kouglenou et al. [55] reported that 55.8% of Campylobacter strains were MDR, with resistance rates of 72.7% for ciprofloxacin, 71.4% for ampicillin, and 71.4% for tetracycline.
According to data from Saudi MOH, half of the foodborne outbreaks occur in private homes [14]. In addition, an integrative review highlighted significant gaps in food safety knowledge and practices among consumers in Saudi Arabia [71]. Therefore, retail chicken may act as a vehicle and introduce MDR Salmonella and Campylobacter species into consumers’ homes, potentially leading to foodborne infections. This underscores the necessity for developing routine monitoring systems to assess contamination levels in retail chicken meat. The pervasive presence of MDR Salmonella and Campylobacter in broiler meat calls for enhanced surveillance, stricter enforcement of food safety practices, and public health initiatives to mitigate the risk of foodborne diseases in Saudi Arabia. Future research should focus on sequencing the isolates to elucidate their genotypic profiles and their correlations to phenotypic profiles. It is also imperative to screen for other foodborne pathogens in retail chicken produced in Saudi Arabia to identify any other risks of pathogenic contamination.

4. Conclusions

This study underscores the importance of monitoring the prevalence of Salmonella spp. and Campylobacter spp., as well as antibiotic resistance in these pathogens, in Saudi Arabia’s poultry industry. The findings highlight the need for targeted interventions in small-scale poultry farms, stricter implementation of food safety regulations, and enhanced surveillance programes. Future research should investigate the prevalence of other foodborne pathogens in poultry and identify the sources contributing to the development and spread of antimicrobial resistance. Genotypic analyses of resistant isolates should also be prioritized to better understand the genetic mechanisms driving resistance, paving the way for effective control strategies and improved public health outcomes.

Supplementary Materials

The following supporting information can be downloaded at the following website: https://www.mdpi.com/article/10.3390/microbiolres16010027/s1, Figure S1. Culture characteristics of Salmonella Enteritidis serovar 1, 9, 12:g, m:- isolated from chicken retails. A. Black-centered colonies with blue background on Hektoen agar. B. Colonies were red with or without H2S on XLD-agar; Figure S2. Culture characteristics with different colonial forms with the metallic sheen of Campylobacter jejuni (A) and Campylobacter coli (B)on modified Charcoal Cefoperazone Deoxycholate Agar(MCCD) which incubated microaerophilic at 41–42 °C; Figure S3. Agar gel electrophoresis showed results of conventional PCR virulent inva genes in Salmonella Enteritidis serovar 1, 9, 12:g, m:-. Isolates number 3 to 14 were positive inva 284 bp. P was the positive control, and N was the negative control. L: represented the molecular size marker (100 pb ladder); Figure S4. Agar gel electrophoresis showed results of conventional PCR virulent mapA gene in Campylobacter jejuni. Isolates number 1, 2, 3, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 17, and 22 were positive mapA 589 bp. P was the positive control, and N was the negative control. L: represented the molecular size marker (100 pb ladder); Figure S5. Agar gel electrophoresis showed results of conventional PCR virulent mapA gene in Campylobacter jejuni. Isolates number 23, 29, 30, 31, 34, 35, 38, 39, and 40 were positive mapA 589 bp. P was the positive control, and N was the negative control. L: represented the molecular size marker (100 pb ladder). Figure S6. Agar gel electrophoresis showed results of conventional PCR virulent mapA gene in Campylobacter jejuni. Isolates number 43, 44, 45, 46, 47, 48, and 56 were positive mapA 589 bp. P was the positive control, and N was the negative control. L: represented the molecular size marker (100 pb ladder); Figure S7. Agar gel electrophoresis showed results of conventional PCR virulent ceuE gene in Campylobacter coli. Isolates number 20, 25, 26, 28, 37, and 49 were positive ceuE gene 462 bp. P was the positive control, and N was the negative control. L: represented the molecular size marker (100 pb ladder); Figure S8. Agar gel electrophoresis showed results of conventional PCR virulent ceuE gene in Campylobacter coli. Isolates number 51, 52,53, and 55 were positive ceuE gene 462 bp. P was the positive control, and N was the negative control. L: represented the molecular size marker (100 pb ladder).

Author Contributions

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

Funding

This research was funded by the Deanship of Scientific Research, on the financial support for this research under the number (2023-SDG-I-HMSRC-36242) during the academic year 1445 AH/2023 AD.

Data Availability Statement

The original contributions presented in this study are included in the article and supplementary materials. Further inquiries can be directed to the corresponding author.

Acknowledgments

The authors gratefully acknowledge Qassim University, represented by the Deanship of Scientific Research, on the financial support for this research under the number (2023-SDG-I-HMSRC-36242) during the academic year 1445 AH/2023 AD.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Antunes, P.; Mourão, J.; Campos, J.; Peixe, L. Salmonellosis: The role of poultry meat. Clin. Microbiol. Infect. 2016, 22, 110–121. [Google Scholar] [CrossRef] [PubMed]
  2. Ali, S.; Alsayeqh, A.F. Review of major meat-borne zoonotic bacterial pathogens. Front. Public. Health 2022, 10, 1045599. [Google Scholar] [CrossRef] [PubMed]
  3. Chlebicz, A.; Śliżewska, K. Campylobacteriosis, Salmonellosis, Yersiniosis, and Listeriosis as Zoonotic Foodborne Diseases: A Review. Int. J. Environ. Res. Public. Health 2018, 15, 863. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  4. Epps, S.V.; Harvey, R.B.; Hume, M.E.; Phillips, T.D.; Anderson, R.C.; Nisbet, D.J. Foodborne Campylobacter: Infections, metabolism, pathogenesis and reservoirs. Int. J. Environ. Res. Public. Health 2013, 10, 6292–6304. [Google Scholar] [CrossRef]
  5. Gal-Mor, O. Persistent infection and long-term carriage of typhoidal and nontyphoidal Salmonellae. Clin. Microbiol. Rev. 2018, 32, e00088-18. [Google Scholar] [CrossRef]
  6. Jajere, S.M. A review of Salmonella enterica with particular focus on the pathogenicity and virulence factors, host specificity and antimicrobial resistance including multidrug resistance. Vet. World 2019, 124, 504. [Google Scholar] [CrossRef] [PubMed]
  7. Davis, L.; DiRita, V. Growth and Laboratory Maintenance of Campylobacter jejuni: Epsilon Proteobacteria. Curr. Protoc. Microbiol. 2008, 10, 8A-1. [Google Scholar] [CrossRef] [PubMed]
  8. Wagenaar, J.A.; Newell, D.G.; Kalupahana, R.S.; Mughini-Gras, L. Campylobacter: Animal reservoirs, human infections, and options for control. In Zoonoses: Infections Affecting Humans and Animals; Springer International Publishing: Cham, Switzerland, 2023; pp. 267–293. [Google Scholar]
  9. Vetchapitak, T.; Misawa, N. Current status of Campylobacter food poisoning in Japan. Food Saf. 2019, 7, 61–73. [Google Scholar] [CrossRef] [PubMed]
  10. Reichelt, B.; Szott, V.; Epping, L.; Semmler, T.; Merle, R.; Roesler, U.; Friese, A. Transmission pathways of Campylobacter spp. at broiler farms and their environment in Brandenburg, Germany. Front. Microbiol. 2022, 13, 982693. [Google Scholar] [CrossRef] [PubMed]
  11. European Food Safety Authority [EFSA] and European Centre for Disease Prevention and Control [ECDC]. The European Union One Health 2019 zoonoses report. EFSA J. 2021, 19, e06406. [Google Scholar] [CrossRef]
  12. Li, T.; Wolfert, M.A.; Wei, N.; Huizinga, R.; Jacobs, B.C.; Boons, G.-J. Chemoenzymatic synthesis of Campylobacter jejuni lipo-oligosaccharide core domains to examine Guillain–Barré syndrome serum antibody specificities. J. Am. Chem. Soc. 2020, 142, 19611–19621. [Google Scholar] [CrossRef] [PubMed]
  13. Ahmed, S.K.; Hussein, S.; Qurbani, K.; Ibrahim, R.H.; Fareeq, A.; Mahmood, K.A.; Mohamed, M.G. Antimicrobial resistance: Impacts, challenges, and future prospects. J. Med. Surg. Public. Health 2024, 2, 100081. [Google Scholar] [CrossRef]
  14. MOH, The Annual Report on Foodborne Disease Outbreaks, Ministry of Health, 2018. Available online: https://www.moh.gov.sa/Ministry/MediaCenter/Publications/Documents/2014–2018.pdf (accessed on 14 July 2024).
  15. Tan, S.J.; Nordin, S.; Esah, E.M.; Mahror, N. Salmonella spp. in chicken: Prevalence, antimicrobial resistance, and detection methods. Microbiol. Res. 2022, 13, 691–705. [Google Scholar] [CrossRef]
  16. Hoffmann, S.; Devleesschauwer, B.; Aspinall, W.; Cooke, R.; Corrigan, T.; Havelaar, A.; Angulo, F.; Gibb, H.; Kirk, M.; Lake, R.; et al. Attribution of global foodborne disease to specific foods: Findings from a World Health Organization structured expert elicitation. PLoS ONE 2017, 12, e0183641. [Google Scholar] [CrossRef]
  17. Yehia, H.M.; AL-Dagal, M.M. Prevalence of Campylobacter jejuni in chicken produced by major poultry companies in Saudi Arabia. Int. J. Food Contam. 2014, 1, 2. [Google Scholar] [CrossRef]
  18. Wang, Y.; Ge, H.; Wei, X.; Zhao, X. Research progress on antibiotic resistance of Salmonella. Food Qual. Safety 2022, 6, fyac035. [Google Scholar] [CrossRef]
  19. Barbut, S. Poultry Products Processing: An Industry Guide; CRC Press: Boca Raton, FL, USA, 2016. [Google Scholar]
  20. GAIN. Poultry and Products Annual, Saudi Arabia, Global Agricultural Information Network, USDA. 2021. Available online: https://apps.fas.usda.gov/newgainapi/api/ (accessed on 14 July 2024).
  21. Lanyi, B. Classical and rapid identification methods for medically important bacteria. Methods Microbiol. 1988, 19, 1–67. [Google Scholar] [CrossRef]
  22. Cheesbrough, M. Medical Laboratory Manual for Tropical Countries; CABI: Doddington, UK, 1981; Volume 1. [Google Scholar]
  23. Grimont, P.A.; Weill, F.X. Antigenic formulae of the Salmonella serovars. WHO Collab. Cent. Ref. Res. Salmonella 2007, 9, 1–166. [Google Scholar]
  24. Hunt, J.; Abeyta, C.; Tran, T. Bacteriological Analytical Manual (BAM) Main Page, BAM Chapter 7: Campylobacter; FDA: Silver Spring, MD, USA, 2021. [Google Scholar]
  25. ISO 10272-1; Microbiology of food and animal feeding stuffs—Horizontal method for detection and enumeration of Campylobacter spp. International Organization for Standardization (ISO): Geneva, Switzerland, 2006.
  26. Roberts, D.; Greenwood, M. (Eds.) Practical Food Microbiology; Blackwell Publishing: Malden, MA, USA, 2003. [Google Scholar]
  27. Kougblenou, S.D.; Agbankpe, A.J.; Behanzin, J.G.; Dougnon, T.V.; Aniambossou, A.; Moussa, L.B.; Bankole, H.S. Microbiological safety and sanitary quality of primary production of leafy vegetables at Houeyiho and Seme Kpodji vegetable farms in southern Benin: Risk factors for Campylobacter spp. Int. J. Food Sci. 2019, 2019, 8942608. [Google Scholar] [CrossRef]
  28. Wang, G.; Clark, C.G.; Taylor, T.M.; Pucknell, C.; Barton, C.; Price, L.; Rodgers, F.G. Colony multiplex PCR assay for identification and differentiation of Campylobacter jejuni, C. coli, C. lari, C. upsaliensis, and C. fetus subsp. fetus. J. Clin. Microbiol. 2002, 40, 4744–4747. [Google Scholar] [CrossRef] [PubMed]
  29. Shin, E.; Lee, Y. Comparison of three different methods for Campylobacter isolation from porcine intestines. J. Microbiol. Biotechnol. 2009, 19, 647–650. [Google Scholar] [PubMed]
  30. Olivera, S.D.; Rodenbusch, C.R.; Ce, M.C.; Rocha, S.L.S.; Canal, C.W. Evaluation of selective and non-selective enrichment PCR procedures for Salmonella detection. Lett. Appl. Microbiol. 2003, 36, 217–221. [Google Scholar] [CrossRef] [PubMed]
  31. CLSI. Performance Standards for Antimicrobial Susceptibility Testing; Twenty-sixth informational supplement, CLSI supplement M100S; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2016. [Google Scholar]
  32. CLSI. CLSI Supplement M100: Performance Standards for Antimicrobial Susceptibility Testing; Twenty-seventh informational supplement; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2017. [Google Scholar]
  33. Farzi, S.; Ranjbar, R.; Niakan, M.; Ahmadi, M.H. Molecular characterization of antibiotic resistance associated with TEM and CTX-M ESBL in uropathogenic E. coli strains isolated from outpatients. Iran. J. Pathol. 2021, 16, 386–391. [Google Scholar] [CrossRef] [PubMed]
  34. Polsfuss, S.; Bloemberg, G.V.; Giger, J.; Meyer, V.; Böttger, E.C.; Hombach, M. Practical approach for reliable detection of AmpC beta-lactamase-producing Enterobacteriaceae. J. Clin. Microbiol. 2011, 49, 2798–2803. [Google Scholar] [CrossRef] [PubMed]
  35. Mohamed, E.S.; Khairy, R.M.M.; Abdelrahim, S.S. Prevalence and molecular characteristics of ESBL and AmpC β-lactamase producing Enterobacteriaceae strains isolated from UTIs in Egypt. Antimicrob. Resist. Infect. Control 2020, 9, 198. [Google Scholar] [CrossRef] [PubMed]
  36. Allam, S.A.; Elnomrosy, S.M.; Mohamed, S.M. Virulent-MDR-ESBL E. coli and Klebsiella pneumoniae report from North Sinai calves diarrhea and in vitro antimicrobial by Moringa oleifera. BMC Vet Res 2024, 20, 259. [Google Scholar] [CrossRef] [PubMed]
  37. Magiorakos, A.P.; Srinivasan, A.; Carey, R.B.; Carmeli, Y.; Falagas, M.E.; Giske, C.G.; Monnet, D.L. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard defnitions for acquired resistance. Clin Microbiol Infect. 2012, 18, 268–281. [Google Scholar] [CrossRef] [PubMed]
  38. The European Committee on Antimicrobial Susceptibility Testing (EUCAST). Breakpoint Tables for Interpretation of MICs and Zone Diameters, Version 2.0. 2018. Available online: http://www.eucast.org (accessed on 17 May 2023).
  39. Al-Dughaym, A.M.; Altabari, G.F. Safety and quality of some chicken meat products in Al-Ahsa markets-Saudi Arabia. Saudi J. Biol. Sci. 2010, 17, 37–42. [Google Scholar] [CrossRef] [PubMed]
  40. Al-Humam, N.A.; Mohamed, A.F. Monitoring of Escherichia coli, Salmonella spp. and Staphylococci in poultry meat-342 based fast food in Saudi Arabia. Adv. Microbiol. 2022, 12, 159–176. [Google Scholar] [CrossRef]
  41. Al-Hindi, R.R.; Alharbi, M.G.; Alotibi, I.A.; Azhari, S.A.; Ahmad, A.; Alseghayer, M.S.; Teklemariam, A.D.; Almaneea, A.M. 344 MALDI-TOF MS-based identification and antibiotics profiling of Salmonella species isolated from retail chilled chicken in Saudi Arabia. J. King Saud Univ.-Sci. 2023, 35, 102684. [Google Scholar] [CrossRef]
  42. Djeffal, S.; Bakour, S.; Mamache, B.; Elgroud, R.; Agabou, A.; Chabou, S.; Rolain, J.-M. Prevalence and clonal relationship of ESBL-producing Salmonella strains from humans and poultry in northeastern Algeria. BMC Vet. Res. 2017, 13, 348. [Google Scholar] [CrossRef] [PubMed]
  43. Abdellah, C.; Fouzia, R.F.; Abdelkader, C.; Rachida, S.B.; Mouloud, Z. Occurrence of Salmonella in chicken carcasses and giblets in Meknes-Morocco. Pak. J. Nutr. 2008, 7, 231–233. [Google Scholar] [CrossRef]
  44. Barac, D.; Mansour, H.; Awad, S.; Ghazy, M.A.; Abdel-Mawgood, A. Prevalence of non-typhoidal Salmonellae in the retail chicken meat in Alexandria, Egypt. Indian J. Microbiol. 2024, 64, 1680–1684. [Google Scholar] [CrossRef]
  45. Yeh, H.Y.; Cox, N.A.; Hinton, A., Jr.; Berrang, M.E.; Lawrence, J.R.P.; Thompson, T.M. Prevalence and characterization of quinolone resistance in Campylobacter spp. isolates in chicken livers from retail stores in Georgia, USA. J. Food Prot. 2022, 85, 406–413. [Google Scholar] [CrossRef] [PubMed]
  46. Abu-Madi, M.; Behnke, J.M.; Sharma, A.; Bearden, R.; Al-Banna, N. Prevalence of virulence/stress genes in Campylobacter jejuni from chicken meat sold in Qatari retail outlets. PLoS ONE 2016, 11, e0156938. [Google Scholar] [CrossRef] [PubMed]
  47. Habib, I.; Mohamed, M.Y.I.; Ghazawi, A.; Lakshmi, G.B.; Khan, M.; Li, D.; Sahibzada, S. Genomic characterization of molecular markers associated with antimicrobial resistance and virulence of the prevalent Campylobacter coli isolated from retail chicken meat in the United Arab Emirates. Curr. Res. Food Sci. 2023, 6, 100434. [Google Scholar] [CrossRef] [PubMed]
  48. Kanaan, M.H.G.; Mohammed, F.A. Antimicrobial resistance of Campylobacter jejuni from poultry meat in local markets of Iraq. Plant Arch. 2020, 20, 410–415. [Google Scholar]
  49. Neves, M.; Malkawi, I.; Walker, M.; Alaboudi, A.; Abu-Basha, E.; Blake, D.; Crotta, M. The transmission dynamics of Campylobacter jejuni among broilers in semi-commercial farms in Jordan. Epidemiol. Infect. 2019, 147, e134. [Google Scholar] [CrossRef] [PubMed]
  50. Gritli, A.; Daboussi, T.; Moussa, M.B.; Abassi, M. Prevalence and characterizaton of Salmonella in chicken consumed in military cantines. J. New Sci. JS-INAT 2015, 41, 908–914. [Google Scholar]
  51. Guyard-Nicodème, M.; Anis, N.; Naguib, D.; Viscogliosi, E.; Chemaly, M. Prevalence and Association of Campylobacter spp., Salmonella spp., and Blastocystis sp. in Poultry. Microorganisms 2013, 11, 1983. [Google Scholar] [CrossRef]
  52. Gharbi, M.; Béjaoui, A.; Ben Hamda, C.; Jouini, A.; Ghedira, K.; Zrelli, C.; Ghram, A. Prevalence and antibiotic resistance patterns of Campylobacter spp. isolated from broiler chickens in the north of Tunisia. BioMed Res. Int. 2018, 7943786. [Google Scholar] [CrossRef]
  53. Asmai, R.; Karraouan, B.; Es-Soucratti, K.; En-Nassiri, H.; Bouchrif, B.; Karib, H.; Triqui, R. Prevalence and antibiotic resistance of Campylobacter coli isolated from broiler farms in the Marrakesh Safi region, Morocco. Vet. World. 2020, 13, 1892. [Google Scholar] [CrossRef]
  54. Azizian, K.; Hasani, A.; Shahsavandi, S.; Rezaee, M.A.; Hasani, A.; Hosseinpour, R.; Alizadeh, H. Campylobacter jejuni and Campylobacter coli in cecum contents of chickens of slaughter age: A microbiological surveillance. Trop Biomed. 2018, 35, 423–433. [Google Scholar]
  55. Kouglenou, S.D.; Agbankpe, A.J.; Dougnon, V.; Djeuda, A.D.; Deguenon, E.; Hidjo, M.; Baba-Moussa, L.; Bankole, H. Prevalence and susceptibility to antibiotics from Campylobacter jejuni and Campylobacter coli isolated from chicken meat in southern Benin, West Africa. BMC Res. Notes 2020, 13, 305. [Google Scholar] [CrossRef] [PubMed]
  56. Alzahrani, K.O.; Al-Reshoodi, F.M.; Alshdokhi, E.A.; Alhamed, A.S.; Al Hadlaq, M.A.; Mujallad, M.I.; Mukhtar, L.E.; Alsufyani, A.T.; Alajlan, A.A.; Al Rashidy, M.S.; et al. Antimicrobial resistance and genomic characterization of Salmonella enterica isolates from chicken meat. Front. Microbiol. 2023, 14, 1104164. [Google Scholar] [CrossRef] [PubMed]
  57. Dishan, A.; Hizlisoy, H.; Onmaz, N.E.; Yildirim, Y.; Gonulalan, Z.; Al, S. Comprehensive analysis of Salmonella in poultry meat and products in Türkiye: Prevalence, antibiotic susceptibility and genomic characterisation. Int. J. Food Sci. Technol. 2024, 59, 3412–3422. [Google Scholar] [CrossRef]
  58. Thai, T.H.; Hirai, T.; Lan, N.T.; Yamaguchi, R. Antibiotic resistance profiles of Salmonella serovars isolated from retail pork and chicken meat in North Vietnam. Int. J. Food Microbiol. 2012, 156, 147–151. [Google Scholar] [CrossRef] [PubMed]
  59. Yu, X.; Zhu, H.; Bo, Y.; Li, Y.; Zhang, Y.; Liu, Y.; Zhang, X. Prevalence and antimicrobial resistance of Salmonella enterica subspecies enterica serovar Enteritidis isolated from broiler chickens in Shandong Province, China, 2013–2018. Poultry Sci. 2021, 100, 1016–1023. [Google Scholar] [CrossRef] [PubMed]
  60. Waghamare, R.N.; Paturkar, A.M.; Vaidya, V.M.; Zende, R.J.; Dubal, Z.N.; Dwivedi, A.; Gaikwad, R.V. Phenotypic and genotypic drug resistance profile of Salmonella serovars isolated from poultry farm and processing units located in and around Mumbai city. India. Vet. World 2018, 11, 1682. [Google Scholar] [CrossRef] [PubMed]
  61. Elkenany, R.; Elsayed, M.M.; Zakaria, A.I.; El-Sayed, S.A.E.S.; Rizk, M.A. Antimicrobial resistance profiles and virulence genotyping of Salmonella enterica serovars recovered from broiler chickens and chicken carcasses in Egypt. BMC Vet. Res. 2019, 15, 124. [Google Scholar] [CrossRef]
  62. Abukhattab, S.; Taweel, H.; Awad, A.; Crump, L.; Vonaesch, P.; Zinsstag, J.; Abu-Rmeileh, N.M. Systematic review and meta-analysis of integrated studies on Salmonella and Campylobacter prevalence, serovar, and phenotyping and genetic of antimicrobial resistance in the Middle East—A One health perspective. Antibiotics 2022, 11, 536. [Google Scholar] [CrossRef] [PubMed]
  63. Varga, C.; Guerin, M.T.; Brash, M.L.; Slavic, D.; Boerlin, P.; Susta, L. Antimicrobial resistance in Campylobacter jejuni and Campylobacter coli isolated from small poultry flocks in Ontario, Canada: A two-year surveillance study. PLoS ONE 2019, 14, e0221429. [Google Scholar] [CrossRef] [PubMed]
  64. Giacomelli, M.; Salata, C.; Martini, M.; Montesissa, C.; Piccirillo, A. Antimicrobial resistance of Campylobacter jejuni and Campylobacter coli from poultry in Italy. Microb. Drug Resist. 2014, 20, 181–188. [Google Scholar] [CrossRef] [PubMed]
  65. Li, B.; Ma, L.; Li, Y.; Jia, H.; Wei, J.; Shao, D.; Ma, Z. Antimicrobial resistance of Campylobacter species isolated from broilers 376 in live bird markets in Shanghai, China. Foodborne Pathog. Dis. 2017, 14, 96–102. [Google Scholar] [CrossRef] [PubMed]
  66. Alaboudi, A.R.; Malkawi, I.M.; Osaili, T.M.; Abu-Basha, E.A.; Guitian, J. Prevalence, antibiotic resistance and genotypes of Campylobacter jejuni and Campylobacter coli isolated from chickens in Irbid governorate, Jordan. Int. J. Food Microbiol. 2020, 327, 108656. [Google Scholar] [CrossRef] [PubMed]
  67. Wei, B.; Cha, S.Y.; Yoon, R.H.; Kang, M.; Roh, J.H.; Seo, H.S.; Jang, H.K. Prevalence and antimicrobial resistance of Campylobacter spp. isolated from retail chicken and duck meat in South Korea. Food Control 2016, 62, 63–68. [Google Scholar] [CrossRef]
  68. Xu, J.; Sangthong, R.; McNeil, E.; Tang, R.; Chongsuvivatwong, V. Antibiotic use in chicken farms in northwestern China, Antimicrob. Resist. Infect. Control 2020, 9, 10. [Google Scholar] [CrossRef]
  69. Castro-Vargas, R.E.; Herrera-Sanchez, M.P.; Rodrıguez-Hernandez, R.; Rondon-Barragan, I.S. Antibiotic resistance in Salmonella spp. isolated from poultry: A global overview. Vet. World 2020, 13, 2070. [Google Scholar] [CrossRef]
  70. Taniguchi, T.; Ohki, M.; Urata, A.; Ohshiro, S.; Tarigan, E.; Kiatsomphob, S.; Vetchapitak, T.; Sato, H.; Misawa, N. Detection and identification of adhesins involved in adhesion of Campylobacter jejuni to chicken skin. Int. J. Food Microbiol. 2021, 337, 108929. [Google Scholar] [CrossRef] [PubMed]
  71. Aljasir, S.F. Food safety knowledge and practices among food handlers and consumers in Gulf countries: An integrative review. Glob. Public Health 2023, 18, 2287584. [Google Scholar] [CrossRef] [PubMed]
Table 1. Prevalence of Campylobacter spp. and Salmonella Enteritidis in retail chicken from large, medium-sized, and small producers.
Table 1. Prevalence of Campylobacter spp. and Salmonella Enteritidis in retail chicken from large, medium-sized, and small producers.
Size of Poultry FarmBrandNo. *No. of Positive Samples
Salmonella EnteritidisCampylobacter jejuniCampylobacter coli
LargeA14080
B12110
C13003
MediumD13041
E12050
F13050
SmallG6403
H10140
I13413
Total 106 (100%)10 (9.3%)28 (26.4%)10 (9.3%)
* Each sample represents a composite of two chicken carcasses that were collected from the same producer, with the same production date, and purchased from the same retail location.
Table 2. Number and percentage (in parentheses) of antibiotic-resistant Salmonella Enteritidis isolates from retail chicken meat.
Table 2. Number and percentage (in parentheses) of antibiotic-resistant Salmonella Enteritidis isolates from retail chicken meat.
AMCAMPNALCIPOFXGENCAZCTXTETCHLSTR
Resistance7 (70)6 (60)9 (90)0 (0)2 (20)0 (0)1 (10)1 (10)7 (70)0 (0)3 (30)
Intermediate1 (10)0 (0)1 (10)0 (0)0 (0)0 (0)0 (0)0 (0)3 (30)0 (0)3 (30)
Susceptible2 (20)4 (40)0 (0)10 (100)8 (80)10 (100)9 (90)9 (90)0 (0)10 (100)4 (40)
AMP, ampicillin; CTX, cefotaxime; CAZ, ceftazidime; AMC, amoxicillin–clavulanic acid; GEN, gentamicin; CIP, ciprofloxacin; STR, streptomycin; CHL, chloramphenicol; TET, tetracycline; OFX, ofloxacin; NAL, nalidixic acid.
Table 3. Number and percentage (in parentheses) of antibiotic-resistant Campylobacter spp. isolates from retail chicken meat.
Table 3. Number and percentage (in parentheses) of antibiotic-resistant Campylobacter spp. isolates from retail chicken meat.
Species CIPTETNALERTCLIGENAZMDOX
Campylobacter coliResistance0 (0)8 (80)5 (50)9 (90)9 (90)9 (90)3 (30)0 (0)
Intermediate2 (20)1 (10)0 (0)0 (0)1 (10)0 (0)0 (0)1 (10)
Susceptible8 (80)1 (10)5 (50)1 (10)0 (0)1 (10)7 (70)9 (90)
Campylobacter jejuniResistance11 (42.8)24 (86)21 (75)26 (92.8)26 (92.8)18 (64.3)22 (78.6)7 (25)
Intermediate10 (35.7)2 (7.1)4 (14.3)2 (7.1)1 (3.6)4 (14.3)0 (0)7 (25)
Susceptible8 (28.6)2 (7.1)3 (10.7)0 (0)1 (3.6)6 (21.4)6 (21.4)14 (50)
DOX, doxycycline; ERT, erythromycin; AZM, azithromycin; CIP, ciprofloxacin; GEN, gentamicin; CLI, clindamycin; NAL, nalidixic acid; TET, tetracycline.
Table 4. Patterns of antibiotic resistance in isolates of Salmonella Enteritidis, Campylobacter coli, and Campylobacter jejuni.
Table 4. Patterns of antibiotic resistance in isolates of Salmonella Enteritidis, Campylobacter coli, and Campylobacter jejuni.
Antimicrobial Resistance PatternNumber of Isolates
SalmonellaCampylobacter coliCampylobacter jejuni
AMC-AMP-NAL-CAZ-TET1
AMC-AMP-NAL-CTX-STR1
AMC-AMP-NAL-OFX-TET1
AMC-AMP-NAL-TET1
AMC-AMP-NAL-OFX-CTX1
AMC-AMP-NAL-TET-STR-CHL1
NAL-CTX-TET-STR1
TET-ERT-CLI-GEN 51
NAL-ERT-CLI-GEN-AZM 1
TET-NAL-ERT-CLI-GEN-AZM 26
TET-NAL-ERT-CLI-GEN 1
TET-NAL-ERT-CLI-GEN-AZM-DOX 2
AMC-NAL1
AMC1
NAL11
CIP-TET-NAL-ERT-CLI-GEN-AZM-DOX 1
CIP-ERT-CLI-AZM-DOX 1
CIP-TET-NAL-ERT-CLI-GEN-AZM 2
TET-ERT-CLI 3
CIP-NAL-CLI 1
TET-NAL-ERT-CLI-AZM 2
CIP-TET-CLI-GEN-AZM 1
CIP-NAL-ERT-CLI-GEN 1
TET-NAL-ERT-CLI-AZM-DOX 1
TET-NAL-E-CLI-GEN-AZM 1
CIP-TET-NAL-ERT-AZM-GEN-DOX 1
TET-ERT-CLI-GEN-AZM 1
CIP-NAL-AZM 1
TET-ERT-CLI-GEN-AZM-DOX 1
AMP, ampicillin; CTX, cefotaxime; CAZ, ceftazidime; AMC, amoxicillin–clavulanic acid; GEN, gentamicin; CIP, ciprofloxacin; STR, streptomycin; CHL, chloramphenicol; TET, tetracycline; OFX, ofloxacin; NAL, nalidixic acid; DOX, doxycycline; ERT, erythromycin; AZM, azithromycin; CLI, clindamycin.
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Aljasir, S.F.; Allam, S.A. Prevalence and Antibiotic Resistance of Salmonella spp. and Campylobacter spp. Isolated from Retail Chickens in Saudi Arabia. Microbiol. Res. 2025, 16, 27. https://doi.org/10.3390/microbiolres16010027

AMA Style

Aljasir SF, Allam SA. Prevalence and Antibiotic Resistance of Salmonella spp. and Campylobacter spp. Isolated from Retail Chickens in Saudi Arabia. Microbiology Research. 2025; 16(1):27. https://doi.org/10.3390/microbiolres16010027

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Aljasir, Sulaiman F., and Sahar A. Allam. 2025. "Prevalence and Antibiotic Resistance of Salmonella spp. and Campylobacter spp. Isolated from Retail Chickens in Saudi Arabia" Microbiology Research 16, no. 1: 27. https://doi.org/10.3390/microbiolres16010027

APA Style

Aljasir, S. F., & Allam, S. A. (2025). Prevalence and Antibiotic Resistance of Salmonella spp. and Campylobacter spp. Isolated from Retail Chickens in Saudi Arabia. Microbiology Research, 16(1), 27. https://doi.org/10.3390/microbiolres16010027

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