Abstract
Salmonella spp. is one of the leading causes of foodborne bacterial infections, with major impacts on public health and healthcare system. Salmonella is commonly transmitted via the fecal-to-oral route, and food contaminated with the bacteria (e.g., poultry products) is considered a common source of infection, being a potential risk for public health. The study aims to characterize the antimicrobial resistance- and virulence-associated genes in Salmonella isolates recovered from chicken marketed carcasses (n = 20). The presence of 14 antimicrobial and 23 virulence genes was evaluated using end-point PCR. The antimicrobial genes were detected in the following proportion among the isolates: blaTEM 100%, dfrA1 and blaCMY2 90% (n = 18), aadA1 75% (n = 15), sul1 and sul2 50% (n = 10), floR 45% (n = 9), qnrD 20% (n = 4), and aadA2 15% (n = 3). catA, sul3, qnrS, and aac(6′)-Ib genes were absent in all isolates. Regarding virulence-associated genes, all Salmonella strains contain invA, fimA, avrA, msgA, sopB, and sopE. The cdtB gene was present in 95% (n = 19) of isolates, whereas spvC and spvB were present in 55% (n = 11). Other virulence genes such as spiC, lpfC, lpfA, and csgA were present in 90% (n = 18) of strains. The presence of antimicrobial and virulence genes in several Salmonella strains in chicken meat suggests the potential pathogenicity of the strains, which is relevant given the possibility of cross-contamination which represents a significant threat to public health.
1. Introduction
Foodborne diseases caused by microorganisms are a significant global public health concern [1]. According to the Centers for Disease Control and Prevention (CDC), foodborne pathogens with the highest annual burden of disease and overall impact on public health are Campylobacter, Listeria monocytogenes, Salmonella, STEC, Shigella, Vibrio, and Yersinia [2, 3]. Salmonella spp. infections are among the leading causes of foodborne bacterial infections, with major impacts on human health and the economy [4–6]. Salmonella remains one of the most burdensome foodborne pathogens globally, with an estimated 200 million to over 1 billion infections, 93 million gastroenteritis cases, and 155,000 fatalities [7].
Currently, more than 2600 different serotypes of Salmonella have been identified, but only a small number of these are commonly associated with foodborne illnesses in humans [8]. In clinical human medicine, Salmonella serotypes can be grouped into typhoidal serotypes (Salmonella Typhi and Salmonella Paratyphi A, B, C) and non-typhoidal Salmonella serotypes (NTS) (caused by other Salmonella strains) [9, 10]. The typhoidal Salmonellas are invasive and cause systematic infection [11, 12]. In contrast, NTS serotype infections cause diarrhea, nausea, vomiting, abdominal pain, myalgia, and arthralgia and are usually self-limiting, although immunocompromised patients can develop a sepsis [13, 14].
The route of Salmonella spp. transmission is commonly through a fecal-to-oral route with the consumption of contaminated food or water [15, 16]. Many foods containing Salmonella are derived from animals (such as eggs, poultry, seafood, and meat), and the transfer of bacteria to these products occurs as a result of cross-contamination during food processing [17, 18]. Epidemiological studies have identified poultry meat as the main vehicle for Salmonella infection [17, 19]. Poultry meat serves as a good environment for the growth of pathogenic Salmonella spp. due to its high nutrient content, pH of 5.5 to 6.5, and water [7, 20]. However, the prevalence of Salmonella in poultry products depends on the type of poultry store (supermarkets and fresh food markets) [21].
Currently, several studies have identified that Salmonella isolates from chicken farms carry mobile genetic elements (MGEs) that contribute to increased pathogenicity and antimicrobial resistance [22–25]. MGEs include plasmids, integrons, and transposons, which play a crucial role in the dissemination of antibiotic resistance genes (ARGs) and the development of biofilm-mediated antibiotic resistance [26]. Salmonella pathogenicity is mediated by virulence genes, which facilitate the survival, colonization, and damage of the host [27]. Consequently, identification and assessment of pathogenic potential and antimicrobial resistance of Salmonella serovars in chicken and poultry products is crucial for disease assessment and epidemiological surveillance [21]. Thus, this study aimed to characterize the antimicrobial resistance- and virulence-associated genes in Salmonella isolates recovered from chicken carcasses marketed in Ibague, Colombia.
In Colombia, a study on 1.003 retail broiler chicken carcasses reported that 27% were contaminated with Salmonella, indicating a risk of infection from poultry products in the country [28]. However, the prevalence of Salmonella spp. in chicken carcasses varied among Colombian cities, ranging from 0% to 57% [28]. For example, in Ibague (central region of Colombia), Salmonella Enteritidis was identified as a significant source of salmonellosis, particularly linked to contaminated eggs and raw chicken meat, emphasizing the genetic relationship between isolates from poultry and human gastroenteritis cases [29]. Additionally, studies on raw chicken meat sold in Ibague revealed a high prevalence of Salmonella, with specific serotypes such as S. Paratyphi B, S. Hvittingfoss, and S. Muenster being predominant and posing a potential threat to human health due to multidrug resistance patterns [30]. Thus, this study aimed to characterize the antimicrobial resistance- and virulence-associated genes in Salmonella isolates recovered from chicken carcasses marketed in Ibague, Colombia.
2. Materials and Methods
2.1. Ethical Approval
Ethical approval was not required for this study. Salmonella spp. strains were obtained from the Bacterial Strain Collection at the Laboratory of Immunology and Molecular Biology (Universidad del Tolima).
2.2. Salmonella Strains
Twenty strains of Salmonella previously isolated from broiler carcasses marketed at Ibague, Colombia, were used in this study [31]. The strains used were previously serotyped using the Kauffmann–White scheme as Salmonella Paratyphi B (n = 5), Salmonella Manhattan (n = 1), Salmonella Bovismorbificans (n = 1), Salmonella Typhimurium (n = 2), Salmonella Othmarschen (n = 1), Salmonella Newport (n = 1), Salmonella Hvittingfoss (n = 5), Salmonella Heidelberg (n = 1), and Salmonella Muenster B (n = 3).
2.3. Genomic DNA Extraction and Molecular Confirmation of Salmonella
Genomic DNA (gDNA) was extracted from fresh bacterial colonies using Wizard® Genomic DNA Purification Kit (Promega, USA) according to the manufacturer's conditions. DNA samples were stored at −20°C prior to use. Molecular confirmation of Salmonella isolates was performed by amplification of a 284 bp fragment of the invA gene (accession number: M90846.1) by endpoint polymerase chain reaction (PCR), using Salmonella Enteritidis (ATCC 13076®) as positive control and E. coli (ATCC 25922®) as negative control [31].
2.4. Molecular Detection of Antibiotic Resistance Genes and Virulence-Associated Genes
Fourteen antibiotic resistance genes (ARGs) were examined in all isolates by endpoint PCR using specific primers described in Table 1. The ProFlex™ PCR System (Applied Biosystems, Waltham, MA, USA) was utilized for conducting the reactions, using a final volume of 25 μL made up of 14,875 µL deionized distilled water, 5 μL of Flexi Buffer 5× Colorless GoTaq® (Promega, Madison, WI, USA), 1 µL of dNTPs (Invitrogen, Carlsbad, CA, USA), 1 µL of each primer (forward and reverse) (10 pmol/Μl) (Macrogen, Seoul, Korea), 1 μL of MgCl2 (25 mM) (Promega, Madison, WI, USA), 0.125 μL of GoTaq Flexi DNA Polymerase (Promega, Madison, WI, USA), and as template 1 µL of gDNA. PCR amplification was performed with the following conditions: initial denaturation at 95°C for 3 minutes, 35 cycles of denaturation at 95°C for 30 seconds, annealing at 55°C for 30 seconds, extension at 72°C for 30 seconds, and final extension at 72°C for 8 minutes. For all experiments, Salmonella spp. strains previously characterized in the Laboratory of Immunology and Molecular Biology were used as reference strains. The annealing temperature and extension time were defined based on the primer melting temperatures and the expected amplicon size (Table 1).
Table 1.
Primer sequences used for amplification of resistance genes.
| Antimicrobial family | Antibiotic | Gene | Primer sequences (5′-3′) | Amplicon size (bp) | References |
|---|---|---|---|---|---|
| β-Lactams | Ceftriaxone | bla CMY2 | F-AAATCGTTATGCTGCGCTCT | 224 | [32] |
| R-CCGATCCTAGCTCAAACAGC | |||||
| Ampicillin | bla TEM | F-ATCAGTTGGGTGCACGAGTG | 236 | ||
| R-ACGCTCACCGGCTCCAGA | |||||
| Chloramphenicol | Chloramphenicol | catA | F-CCAGACCGTTCAGCTGGATA | 454 | |
| R-CATCAGCACCTTGTCGCCT | |||||
| Florfenicol | floR | F-CACGTTGAGCCTCTATATGG | 888 | ||
| R-CACGTTGAGCCTCTATATGG | |||||
| Aminoglycoside | Streptomycin | aadA1 | F-CTCCGCAGTGGATGGCGG | 631 | |
| R-GATCTGCGCGCGAGGCC | |||||
| aadA2 | F-CATTGAGCGCCATCTGGAAT | 500 | |||
| R-ACATTTCGCTCATCGCCGGC | |||||
| Tetracycline | Trimethoprim | dfrA1 | F-CAATGGCTGTTGGTTGGAC | 254 | |
| R-CCGGCTCGATGTCTATTGT | |||||
| dfrA12 | F-TTCGCAGACTCACTGAGGG | 330 | |||
| R-CGGTTGAGACAAGCTCGAAT | |||||
| Sulfonamide | Sulfamethoxazole | sul1 | F-CGGACGCGAGGCCTGTATC | 591 | |
| R-GGGTGCGGACGTAGTCAGC | |||||
| sul2 | F-GCGCAGGCGCGTAAGCTGAT | 514 | |||
| R-CGAAGCGCAGCCGCAATTC | |||||
| sul3 | F-GGGAGCCGCTTCCAGTAAT | 500 | |||
| R-TCCGTGACACTGCAATCATTA | |||||
| Quinolone | Quinolone and fluoroquinolone | qnrD | F-CGAGATCAATTTACGGGGAATA | 582 | [33] |
| R-AACAAGCTGAAGCGCCTG | |||||
| qnrS | F-ACGACATTCGTCAACTGCAA | 417 | |||
| R-TAAATTGGCACCCTGTAGGC | |||||
|
aac (6′)-Ib qnrD |
F-TTGCGATGCTCTATGAGTGGCTA | 482 582 |
|||
| F-CGAGATCAATTTACGGGGAATA |
2.5. Molecular Detection of Virulence-Associated Genes and Integrons
The determination of twenty-three Salmonella virulence genes was performed by PCR using the conditions described previously. Primers sequences, annealing temperature, amplicon size, and corresponding references are listed in Table 2. For integron detection, gDNA from isolates was used as a template for the reaction, using gene-specific primer sets (Table 2). PCR conditions were as described above, and the annealing temperature is listed in Table 2.
Table 2.
Primer sequences used for amplification of virulence genes.
| Category | Gene | Broad action | Primer sequences (5′-3′) | Annealing temperature (°C) | Amplicon size (bp) | References |
|---|---|---|---|---|---|---|
| SPIs | ||||||
| SPI-1 | fimA | Fimbriae | F: CCTTTCTCCATCGTCCTGAA | 55 | 85 | [34] |
| R: TGGTGTTATCTGCCTGACCA | ||||||
| sitC | Iron metabolism | F-CAGTATATGCTCAACGCGATGTGGGTCTCC | 58 | 768 | [35] | |
| R-CGGGGCGAAAATAAAGGCTGTGATGAAC | ||||||
| spaN | F-AAAAGCCGTGGAATCCGTTAGTGAAGT | 55 | 504 | |||
| R-CAGCGCTGGGGATTACCGTTTTG | ||||||
| sipB | F-GGACGCCGCCCGGGAAAAACTCTC | 58 | 875 | |||
| R-ACACTCCCGTCGCCGCCTTCACAA | ||||||
| invA | F-GTGAAATTATCGCCACGTTCGGGCAA | 55 | 284 | |||
| R-TCATCGCACCGTCAAAGGAACC | ||||||
| hilA | Regulatory protein—(TTSS) | F-CTGCCGCAGTGTTAAGGATA | 50 | 497 | ||
| R-CTGTCGCCTTAATCGCATGT | ||||||
| avrA | Effector protein—the invasion-(TTSS) | F-AGCCTGGCGCTCGCCAAAAA | 57 | 123 | [36] | |
| R-GCGGTCTGCTTTATCGGACGGG | ||||||
|
| ||||||
| SPI-2 | spiA | Survival inside cells | F-CCAGGGGTCGTTAGTGTATTGCGTGAGATG | 56 | 550 | [35] |
| R-CGCGTAACAAAGAACCCGTAGTGATGGATT | ||||||
| sifA | Effector protein—the invasion-(TTSS) | F-TTTGCCGAACGCGCCCCCACACG | 58 | 449 | ||
| R-GTTGCCTTTTCTTGCGCTTTCCACCCATCT | ||||||
| SPI-3 | msgA | Survival inside cells | F-GCCAGGCGCACGCGAAATCATCC | 57 | 189 | |
| R-GCGACCAGCCACATATCAGCCTCTTCAAAC | ||||||
|
| ||||||
| SPI-4 | siiD | Adaptor protein—(T1SS) | F: GTCAGGGCGTTATCACTACTAAA | 55 | 826 | [37] |
| R: TTCACATCGGCCAGCATAG | ||||||
|
| ||||||
| SPI-5 | sopB | Effector protein—the invasion-(TTSS) | F-CGGACCGGCCAGCAACAAAACAAGAAGAAG | 55 | 220 | [35] |
| R-TAGTGATGCCCGTTATGCGTGAGTGTATT | ||||||
| SPI-6 | sefA | Fimbriae | F-GATACTGCTGAACGTAGAAGG | 54 | 488 | |
| R-GCGTAAATCAGCATCTGCAGTAGC | ||||||
|
| ||||||
| SPI-7 | sopE | Effector protein—the invasion-(TTSS) | F-GAGGGCCGGGCAGTGTTGAC | 55 | 121 | [36] |
| R-CTTCACGGGTCTGGCTGGCG | ||||||
|
| ||||||
| Non-SPI genes | ||||||
| Plasmid | spvC | PSLT plasmid | F: ACTCCTTGCACAACCAAATGCGGA | 59 | 572 | [34] |
| R: TGTCTTCTGCATTTCGCCACCATCA | ||||||
| spvB | F-CTATCAGCCCCGCACGGAGAGCAGTTTTTA | 58 | 717 | [35] | ||
| R-GGAGGAGGCGGTGGCGGTGGCATCATA | ||||||
| Toxins | cdtB | Non-SPI genes | F-ACAACTGTCGCATCTCGCCCCGTCATT | 57 | 268 | |
| R-CAATTTGCGTGGGTTCTGTAGGTGCGAGT | ||||||
| Fimbriae | lpfC | Adhesins other adhesins | F-GCCCCGCCTGAAGCCTGTGTTGC | 57 | 641 | |
| R-AGGTCGCCGCTGTTTGAGGTTGGATA | ||||||
| pefA | F-GCGCCGCTCAGCCGAACCAG | 55 | 157 | |||
| R-GCAGCAGAAGCCCAGGAAACAGTG | ||||||
| lpfA | F-CTTTCGCTGCTGAATCTGGT | 57 | 250 | |||
| R-CAGTGTTAACAGAAACCAGT | ||||||
| pagC | F-CGCCTTTTCCGTGGGGTATGC | 55 | 454 | |||
| R-GAAGCCGTTTATTTTTGTAGAGGAGATGTT | ||||||
| csgA | Adhesins curli fibers (AGF) | F-TCCACAATGGGGCGGCGGCG | 54 | 350 | ||
| R-CCTGACGCACCATTACGCTG | ||||||
|
| ||||||
| Integrons | ||||||
| intI1 | F-TCCACGCATCGTCAGGC | 55 | 280 | [38] | ||
| R-CCTCCCGCACGATGATC | ||||||
|
| ||||||
| intI2 | F-GGCAGACAGTTGCAAGACAA | 57 | 247 | [32] | ||
| R-AAGCGATTTTCTGCGTGTTT | ||||||
| intI23 | F-CCGGTTCAGTCTTTCCTCAA | 57 | 155 | |||
| R-GAGGCGTGTACTTGCCTCAT | ||||||
2.6. Gel Electrophoresis and Visualization
All amplification products were revealed by gel electrophoresis in 2% agarose gel in 0.5x TBE buffer stained with HydraGreen™ (ACTGene, Piscataway, NJ, USA). 3 μL PCR products were loaded in each well with 100 bp DNA Ladder (NEB, Ipswich, MA, USA) as the molecular weight marker. Electrophoresis was conducted at 100 V for 40 minutes using the PowerPac™ HC gel electrophoresis system (Bio-Rad, Hercules, CA, USA) containing 0.5x TBE buffer. The ENDURO™ GDS gel documentation system (Labnet International, Edison, NJ, USA) was utilized to visualize and document amplification products.
2.7. Statistical Analysis
All data were analyzed using Microsoft Excel. Prevalence as the ratio of positive animals to the total number of samples is expressed as a percentage [39].
3. Results
3.1. Distribution of Antibiotic Resistance Genes among Salmonella Serovars
Among the β-lactamase-encoding genes (blaTEM and blaCMY2), only blaCMY2, which confers resistance to ampicillin, was detected in all the strains (100%), and blaCMY2, which confers resistance to ceftriaxone, was found at a high frequency (90%; n = 18) (Table 3). Among the genes specific for chloramphenicol, such as catA and floR, only floR, which confers resistance to florfenicol, was detected in 45% (n = 9) of Salmonella strains. Regarding the genes that encode aminoglycoside resistance, aadA1 and aadA2 were found to be in 75% (n = 15) and 15% (n = 3) of strains, respectively (Table 3).
Table 3.
Genotypic antibiotic resistance profiles of Salmonella spp. isolates.∗
|
∗For PCR-based patterns, black box indicates that the detection of the resistance gene was positive and white box indicates that the detection of the resistance gene was negative. Abbreviations: Ceft, Ceftriaxone; Amp, Ampicillin; Chlor, Chloramphenicol; Flor, Florfenicol.
Gene cassettes encoding resistance to trimethoprim, such as dfrA1 and dfrA12, were present in 95% (n = 15) and 20% (n = 4) of strains, respectively. Regarding sulfonamide resistance, only sul1 and sul2 genes were detected in 50% (n = 10) of Salmonella strains. Moreover, among the quinolone and fluoroquinolone resistance genes evaluated, only qnrD, a plasmid-mediated quinolone resistance gene, was detected among Salmonella strains (20%; n = 4).
3.2. Distribution of Virulence-Associated Genes among Salmonella Serovars
All 20 Salmonella isolates were assessed by PCR for virulence genes presence. All Salmonella strains amplified the expected DNA fragment of gene operon invasion A (InvA) that was used to confirm the Salmonella genus (Figure 1). In most isolates, all SPI-1 genes were present; fimA, sitC, spaN, sipB, hilA, and avrA were found to be 100%, 80% (n = 16), 80% (n = 16), 65% (n = 13), 100%, 85% (n = 17), 100%, and 90% (n = 18) in the isolates tested, respectively. In addition, virulence genes located on SPI-3 (msgA), SPI-5 (sopB), and SPI-7 (sopE) were present in all the serotypes. Likewise, virulence genes located on SPI-4, such as siiD (60%; n = 12), and SPI-6, such as sefA (65%; n = 13), were present at a lower frequency of strains.
Figure 1.

PCR amplification of a 284 bp fragment from the invA gene of Salmonella isolated from carcasses marketed in Ibague, Colombia. M: molecular-weight size marker, 100 bp DNA ladder (New England Biolabs, Ipswich, MA, USA); Lane 1: UT-SPb14007 S. Paratyphi B; Lane 2: UT-SPb14008 S. Paratyphi B; Lane 3: UT-SPb14012 S. Manhattan; Lane 4: UT-SPb14016 S. Bovismorbificans; Lane 5: UT-SPb14017 S. Typhimurium; Lane 6: UT-SPb14018 S. Typhimurium; Lane 7: UT-SPb14019 S. Othmarschen; Lane 8: UT-SPb14021 S. Newport; Lane 9: UT-SPb14024 S. Hvittingfoss; Lane 10: UT-SPb14027 S. Heidelberg; Lane 11: UT-SPb14028 S. Hvittingfoss; Lane 12: UT-SPb14030 S. Hvittingfoss; Lane 13: UT-SPb14032 S. Hvittingfoss; Lane 14: UT-SPb14033 S. Hvittingfoss; Lane 15: UT-SPb14034 S. Paratyphi B; Lane 16: UT-SPb14035 S. Muenster; Lane 17: UT-SPb14037 S. Muenster; Lane 18: UT-SPb14039 S. Muenster; Lane 19: UT-SPb14043 S. Paratyphi B; Lane 20: UT-SPb14047 S. Paratyphi B.
Moreover, the frequencies of virulence genes were in non-SPI category. Genes located on the Salmonella virulence plasmid, such as spvC and spvB, were present in 55% (n = 11) of the Salmonella isolates. In addition, the cdtB gene encoding typhoid toxins was present in 95% (n = 19) of the isolates. Furthermore, the fimbrial genes lpfC, pefA, lpfA, pagC, and csgA were found in 90% (n = 18), 70% (n = 14), 90% (n = 18), 85% (n = 17), and 90% (n = 18) of the isolates tested, respectively.
3.3. Distribution of Class 1, 2, and 3 Integrons
Class 1 and 3 integrons were not detected in any of the Salmonella strains. In contrast, class 2 integrons were present in 19 strains (Figure 2).
Figure 2.

PCR amplification of a ≈247 bp fragment from the intI2 gene of Salmonella isolated from carcasses marketed in Ibague, Colombia. M: molecular-weight size marker, 100 bp DNA ladder (New England Biolabs, Ipswich, MA, USA). Lane 1: UT-SPb14007; Lane 2: UT-SPb14008; Lane 3: UT-SPb14012; Lane 4: UT-SPb14016; Lane 5: UT-SPb14017; Lane 6: UT-SPb14018; Lane 7: UT-SPb14019; Lane 8: UT-SPb14021; Lane 9: UT-SPb14024; Lane 10: UT-SPb14028; Lane 11: UT-SPb14030; Lane 12: UT-SPb14032; Lane 13: UT-SPb14033; Lane 14: UT-SPb14034; Lane 15: UT-SPb14035; Lane 16: UT-SPb14037; Lane 17: UT-SPb14039; Lane 18: UT-SPb14043; Lane 19: UT-SPb14047.
4. Discussion
Poultry meat is one of the most economical and consumable sources of animal protein [40, 41]. However, poultry meat production involves several stages before the meat reaches consumers [42]. Among the stages of poultry production, food safety is an important consideration because of the bacterial pathogens present in broilers, such as Salmonella [43]. Contaminated poultry products are the major source of human Salmonella infection [44]. Contamination can occur at various stages during production on the farm (preharvest stage), during transportation to the processing plant, at slaughter and evisceration (processing stage), post-evisceration processing, cutting and boning, packaging and storage, distribution and retail, and transportation and handling [45, 46]. Also, Salmonella strains isolated from poultry products exhibit high levels of resistance to antibiotics, making disease control difficult and posing serious risks to global public health [47]. To minimize the impact of Salmonella-related outbreaks, determining the susceptibility of the bacteria to antimicrobial agents is essential [48].
Among the 20 Salmonella strains, antimicrobial resistance- and virulence-associated genes were determined to explore the molecular mechanisms underlying multidrug resistance (MDR) and pathogenicity. The most common resistance genes found were those encoding for β-lactams (blaTEM and blaCMY−2), tetracycline (dfrA1), streptomycin (aadA1), and sulfonamide (sul1 and sul2). The family of β-lactam antibiotics is the most prescribed family of antibiotics prescribed to treat bacterial infections [49]. Nevertheless, their use has been limited by the emergence of bacteria with resistance mechanisms, such as β-lactamases [50]. Some mechanisms by which bacteria acquire resistance to β-lactams include the production of β-lactamases, efflux pumps, and alterations in penicillin-binding proteins [51]. The β-lactamase-encoding genes blaTEM and blaCMY−2 were predominant among the antimicrobial resistance genes detected. These findings are similar to previous studies that have reported blaTEM and blaCMY−2 as the main genes involved in the mechanisms of resistance to β-lactam antibiotics and cephalosporins, respectively [52, 53]. This differs with the prevalence rates reported in a previous study conducted in China on Salmonella isolated from chickens, where the rates of blaTEM and blaCMY−2β-lactamase genes were 61.11%, and 63.89%, respectively.
Regarding sulfamethoxazole resistance (sul) genes, high positivity rates for sul1 (50%), and sul2 (50%) were observed, which is in accordance with previous reports that indicate sul1 and sul2 genes are the most frequently detected Sul genes in Salmonella spp. [54, 55]. This is relevant because sulfonamide resistance usually arises from the acquisition of sul1 and sul2 genes, which encode forms of dihydropteroate synthase that are not inhibited by the drug [56]. Also, in Brazil, 68% of Salmonella isolated from chicken meat samples contained sul2 [57]. The detection of sul genes in Salmonella strains isolated from carcasses is relevant because of the potential transfer of these genes from commensal bacteria into more virulent bacteria via integrons, transposons, or plasmids [58, 59]. Concerning chloramphenicol resistance genes, the floR gene was found in 45% of the Salmonella strains. In addition, in previous studies from China, floR was identified in 35.1% of Salmonella strains isolated from chickens, ducks, and pigs [60]. The frequency of this gene could be related to the long-term use of florfenicol in veterinary medicine, leading to the appearance of these resistance genes [61]. For example, floR is particularly prevalent in multidrug-resistant strains of Salmonella isolated from poultry [52].
Dihydrofolate reductase gene (dfrA1), which conferred resistance to trimethoprim (integron-encoded dihydrofolate reductase), was commonly detected between Salmonella strains (95%). Also, high positivity rates for dfrA1 gene were reported on isolates recovered from clinical and environmental samples [62]. A comparative study conducted in Iraq reported 77.6% of isolates resistant to dfrA1 gene [63]. Furthermore, 15 (75%) Salmonella strains contained the aminoglycoside resistance gene aadA1, which is relevant because of the association between aadA1 and streptomycin resistance in Salmonella strains isolated from chicken meat [64]. Likewise, its frequency is also relevant because this gene is encoded by a conjugal plasmid, which can be transferred to E. coli, with or without selective pressure from antibiotics [65]. Regarding plasmid-mediated quinolone resistance (PMQR) genes, this study identified high frequency of qnrD (20%) compared to a previous report from Colombia [33]. Genetic elements, such as integrons, are able to recognize and capture cassettes carrying the antibiotic resistance genes, leading to the spread of multidrug resistance (MDR) [66]. Class 2 integrons are one of the most common integrons in pathogenic bacteria [67]. Also, the presence of integrons in Salmonella has been associated with antimicrobial resistance [60]. In this study, class 2 integron was detected in 95% of Salmonella isolates, which was higher than previous studies in South Africa (33%) and Iran (9.2%) [68, 69].
Pathogenic Salmonella strains isolated in poultry contain various genes associated with Salmonella pathogenicity islands (SPIs), including pathogenicity islands 1 and 2 (SPI-1 and SPI-2) [44]. SPI-1 allows the bacteria to penetrate non-phagocytic host cells, while SPI-2 is important for survival within the macrophage and for establishment of systemic infection [70, 71]. The SPI-1 genes, such as fimA, invA, and avrA, were detected in 100% of the tested strains, followed by other genes such as spiC (90%), hilA (85%), sitC (80%), spaN (80%), and sipB (65%), with lower frequencies (Table 4). The extensive presence of invA in Salmonella species has led to its use as a molecular marker for confirming Salmonella genus [72, 73]. Regarding Salmonella fimbriae virulence gene fimA, the prevalence rates were similar to a previous study in United States [74]. The fimA codes for the major fimbrial subunit in Salmonella, which helps to adhere to the cell surface and promotes colonization [75]. Another relevant gene in Salmonella virulence is hilA, which stimulates the expression of invasive genes [76]. In addition, similar results have been reported from commercial farms in Egypt, where the hilA gene was detected in 90% of Salmonella strains [77]. Likewise, the prevalence of avrA in strains is a concern because this gene can enhance bacteria proliferation during infections by inhibiting inflammation and regulating epithelial apoptosis [78]. Among SPI-2, various genes were detected (sifA (70%); spiA (90%)) (Table 4). The spiA gene is associated with the ability of biofilm formation and virulence in Salmonella species [79]. In this way, the presence of SPI-1 and SPI-2 genes among Salmonella strains isolated from poultry meat is significant, as it suggests the potential of these isolates to cause infections in humans [80].
Table 4.
Distribution of virulence genes in Salmonella spp. isolates.∗
|
∗For PCR-based patterns, black box indicates that the detection of the virulence gene was positive and white box indicates that the detection of the virulence gene was negative.
Concerning SPI-3, msgA gene was present in all strains (Table 4), which agrees with previous reports on Salmonella isolated from poultry products in Iran [81]. By contrast, siiD gene of SPI-4 was found only in 60% of strains, which is relevant because this gene encodes a protein that links the inner and outer membranes [82]. Contributing to the virulence of Salmonella through the transport of specific proteins that enhance the bacteria's ability to invade host cells, evade the host immune system, and establish infections [83]. Another gene present among the strains was sopB of SPI-5, which is related to subverting host autophagy and inhibiting the fusion of Salmonella-containing vacuoles (SCVs) with lysosomes and autophagosomes [84]. In contrast, a study conducted in South Africa found that 31.8% of the isolates had sopB [85]. Therefore, the presence of sopB could facilitate the dissemination of bacteria in the host environment by inducing diarrhea during infection [86]. The detection rate of virulence plasmid-borne genes, such as spvB and spvC, was 55%, which was significantly higher than that in a previous report of Salmonella isolated from broiler chicken carcasses in the United States (5.5%) [87]. The spvB gene in Salmonella is associated with virulence and pathogenesis by promoting necroptosis of intestinal epithelial cells, leading to the destruction of the intestinal barrier and aggravation of infection [88]. The cdtB gene is another commonly detected gene. This gene encodes the cytolethal distending toxin B, which plays a significant role in the pathogenesis of Salmonella by causing cell cycle arrest, cytoplasmic distension, and nuclear enlargement in host cells [89]. Fimbriae virulence genes, such as lpfC, lpfA, and pefA, mediate the adhesion of Salmonella serovar to host cells contributing to the pathogenesis [90]. A high frequency of fimbriae virulence genes was observed among Salmonella strains, which is relevant because these genes contribute to inflammation, intestinal colonization, and long-term carriage of Salmonella in vertebrate animals [90, 91].
With respect to csgA gene, this gene encodes the major structural component of curli fimbriae, which stabilizes cell-cell interactions during biofilm formation [92]. Salmonella biofilm formation can enhance bacterial resistance to adverse conditions, such as environmental stresses, host defense mechanisms, and antibiotics, which is relevant because the detection rate of the csgA gene in Salmonella strains isolated from chicken meat was 90%, suggesting that Salmonella could be maintained on inert surfaces, such as those used in food production, being one of the main vehicles of foodborne salmonellosis outbreaks, which constitutes a public health problem [93]. Finally, it is essential to recognize that the presence of virulence genes is not a conclusive indicator of a bacterium's pathogenic potential [94]. It is the combined expression of multiple genes that is necessary for pathogenicity [95, 96]. Finally, we recommend using additional methods to confirm the expression of genes or proteins related to virulence factors.
5. Conclusions
Salmonella strains obtained from chicken meat containing antimicrobial and virulence genes raise concerns about their potential to cause disease and the health risk for humans. The possibility of cross-contamination in retail chicken is especially alarming, as it represents a significant danger to public health, particularly for individuals undergoing antimicrobial therapy due to Salmonella-contaminated chicken infections. Thus, this research holds significance for the monitoring of salmonellosis.
Acknowledgments
Funding for this research was provided by the Research Office of the University of Tolima (grant no. 60130521) and the Administrative Department of Science, Technology, and Innovation (Colciencias) (grant no. 907-2021).
Data Availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Conflicts of Interest
The authors declare that there are no conflicts of interest.
Authors' Contributions
K.J.L.-V. and I.S.R.-B were responsible for conceptualization, formal analysis, and review and editing. K.J.L.-V. was responsible for data curation, original draft preparation, and methodology. I.S.R.-B. was responsible for resources, supervision, project administration, and funding acquisition. All authors have read and agreed to the published version of the manuscript.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
