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Article

Resistance Genes, Plasmids, Multilocus Sequence Typing (MLST), and Phenotypic Resistance of Non-Typhoidal Salmonella (NTS) Isolated from Slaughtered Chickens in Burkina Faso

by
Assèta Kagambèga
1,2,3,*,
Elizabeth A. McMillan
1,
Soutongnooma C. Bouda
2,
Lari M. Hiott
1,
Hazem Ramadan
1,4,
Daniel K. Soro
2,
Poonam Sharma
5,
Sushim K. Gupta
6,
Nicolas Barro
2,
Charlene R. Jackson
1 and
Jonathan G. Frye
1,*
1
Bacterial Epidemiology and Antimicrobial Resistance Research Unit, U.S. National Poultry Research Center, Agricultural Research Service, United States Department of Agriculture, Athens, GA 30605, USA
2
Laboratoire de Biologie Moléculaire, D’épidémiologie et de Surveillance des Bactéries et Virus Transmissibles par les Aliments (LaBESTA)/Ecole Doctorale Sciences et Technologies (EDST)/Université Joseph KI-ZERBO, Ouagadougou 03 BP 7021, Burkina Faso
3
Institute des Sciences, Ministère des Enseignement Supérieur, de la Recherche Scientifique et de L’innovation, Ouagadougou 03 BP 7021, Burkina Faso
4
Hygiene and Zoonoses Department, Faculty of Veterinary Medicine, Mansoura University, Mansoura 35516, Egypt
5
Institute of Biosecurity and Microbial Forensics, Department of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, OK 74078, USA
6
Department of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, OK 74078, USA
*
Authors to whom correspondence should be addressed.
Antibiotics 2022, 11(6), 782; https://doi.org/10.3390/antibiotics11060782
Submission received: 22 April 2022 / Revised: 10 May 2022 / Accepted: 6 June 2022 / Published: 8 June 2022
(This article belongs to the Special Issue When Communities Matter: Interplay between Mobile Genetic Elements and Antibiotic Resistance)
Browse Figures
Review Reports Versions Notes

Abstract

:
The emergence of antimicrobial-resistant bacteria in developing countries increases risks to the health of both such countries’ residents and the global community due to international travel. It is consequently necessary to investigate antimicrobial-resistant pathogens in countries such as Burkina Faso, where surveillance data are not available. To study the epidemiology of antibiotic resistance in Salmonella, 102 Salmonella strains isolated from slaughtered chickens were subjected to whole-genome sequencing (WGS) to obtain information on antimicrobial resistance (AMR) genes and other genetic factors. Twenty-two different serotypes were identified using WGS, the most prevalent of which were Hato (28/102, 27.5%) and Derby (23/102, 22.5%). All strains analyzed possessed at least one and up to nine AMR genes, with the most prevalent being the non-functional aac(6′)-Iaa gene, followed by aph(6)-Id. Multi-drug resistance was found genotypically in 36.2% of the isolates for different classes of antibiotics, such as fosfomycin and β-lactams, among others. Plasmids were identified in 43.1% of isolates (44/102), and 25 plasmids were confirmed to carry AMR genes. The results show that chicken can be considered as a reservoir of antibiotic-resistant Salmonella strains. Due to the prevalence of these drug-resistant pathogens and the potential for foodborne illnesses, poultry processing and cooking should be performed with attention to prescribed safe handling methods to avoid cross-contamination with chicken products.

1. Introduction

Foodborne illness caused by Salmonella is a public health concern around the world [1]. Salmonella are zoonotic bacteria and show increasing resistance to antibiotics, especially those isolated from farm animals. Several researchers have shown that Salmonella circulate between animals, humans, and the environment [2,3,4]. Chickens constitute a reservoir of Salmonella, which can be part of the normal intestinal flora of these birds [5]. In Burkina Faso, chicken farming is a booming industry, and the consumer demand for chicken is increasing every year. In Ouagadougou (population ~3 million), the capital city of Burkina Faso, it is estimated that more than 80,000 chickens are slaughtered every day for consumption [6]. Chicken farming has become a good source of income for many Burkinabe who are carrying out this activity without adequate training on good farming hygienic practices. In this country, animal feed is produced in an unregulated manner without veterinary checks or microbiological quality analysis. In addition, there are feed producers who add antibiotics to their feed to prevent disease and the loss of flocks. These practices could select for antibiotic resistance in the bacteria of the chickens’ intestinal flora. This has greatly affected the emergence of multi-drug-resistant strains of Salmonella. The slaughter conditions of chickens constitute a critical point of contamination of carcasses, especially during evisceration [7]. After slaughter, the carcasses are exposed to ambient temperature for sale all day. These practices undoubtedly constitute the critical points of the contamination of humans by pathogenic bacteria from chickens [7,8]. Previous data have shown the presence of antibiotic-resistant Salmonella in Burkina Faso, but very little data exist on the genomic characteristics of these Salmonella due to a lack of equipment and methods in Burkina Faso [9,10]. Whole-genome sequencing (WGS) allows for the analysis of the Salmonella genome but requires expensive equipment and reagents, which are inaccessible to laboratories in Burkina Faso; therefore, for this study, we collaborated with scientists at the United States Department of Agriculture, Agricultural Research Service (USDA-ARS). Previously, we investigated the genomic characterization of Salmonella isolated from fish in Burkina Faso [11]. The present study aims to characterize Salmonella strains isolated from slaughtered chickens in Burkina Faso using WGS to better understand their molecular epidemiology.

2. Results

2.1. Serotypes of Isolates from Slaughtered Chickens

Twenty-two different serotypes were identified using WGS data. The most prominent serotype found was Hato with 28 (27.5%) isolates, followed by Derby with 23 (22.5%); Muenster with 7 (6.9%); and Typhimurium, Poona, Chester, and Kentucky all with 4 (3.9%). Other serotypes found include Alexanderplatz and Bredeney with three isolates (2.9%) each, and Rechovot, Telelkebir, and Tennessee with two (2.0%) each. Five isolates (4.9%) were named with their antigenic formula, and one isolate serotype could not be distinguished between Albany and/or Dusseldorf (Table 1 and Figure 1).

2.2. Antimicrobial Resistance Genes and Antibiotic Resistance Phenotypes Detected

Antibiotic resistance genes and phenotypic resistance profiles are shown in Table 1 and Figure 1. Phenotypic resistance to at least one antibiotic was observed among 33 strains (32.4%), and 27 (27/33, 81.8%) of those were multi-drug resistant (MDR). All isolates possessed at least the aminoglycoside resistance gene aac(6′)-Iaa. Other aminoglycoside resistance genes found included aph(3′)-Ia, aac(3)-Id, aph(6)-Id, aph(3′’)-Ib, aadA1, and aadA7.
Multiple resistance genes were found in 37 (36.3%) of the strains, with each strain possessing two to nine genes. Nineteen (19/28) S. Hato isolates possessed seven to nine resistance genes, including up to five aminoglycoside resistance genes, sul2 conferring resistance to sulfonamides, and tet(A) conferring resistance to tetracycline, and two contained dfrA14 conferring resistance to trimethoprim. Twenty-one of the S. Hato isolates possessed the sul2 gene, and nineteen had the dfrA gene. Twenty of these isolates showed phenotypic resistance to trimethoprim/sulfamethoxazole. Of the 19 isolates possessing the tet(A) gene, 18 showed phenotypic tetracycline resistance. However, in 15 of the 28 S. Hato isolates, at least one AMR gene was a partial sequence (Table 1).
Of the 23 S. Derby isolates, 7 contained multiple resistance genes. Five isolates had five resistance genes, and one isolate had six resistance genes, including multiple aminoglycoside genes, sul2, tet(A), and fosA7. Two S. Derby isolates had the fosA7 gene. The six S. Derby isolates with tet(A) were phenotypically resistant to tetracycline, with four also being resistant to Minocycline.
All seven S. Muenster isolates had only one resistance gene, aac(6′)-Iaa, but no aminoglycoside resistance was seen. Of the four S. Typhimurium isolates, one possessed blaTEM-1B, conferring resistance to β-lactams, and mph(A), suggesting resistance to macrolides. However, no macrolides were tested on this panel. Interestingly, one S. Typhimurium isolate with only the aac(6′)-Iaa gene found by WGS showed resistance to tetracycline and trimethoprim/sulfamethoxazole. Of the four S. Kentucky isolates, three had nine resistance genes conferring resistance to aminoglycosides, sulfonamides, trimethoprim, tetracyclines, and quaternary ammonium compounds (qacE). The qacE gene was partially present in all S. Kentucky strains, which may suggest resistance to sanitizers such as benzalkonium chloride. The chromosomal mutations and MLST results of the strains are shown in Table 1. Twenty-eight different MLST types were identified. Multiple MLST types were identified among serotypes Derby, Hato, Poona, Telelkebir, and Typhimurium. Some isolates of the serotypes Alexanderplatz, Brancaster, Derby, Farmingdale, Hato, I 1,3,19:b:-, I 1,3,19:f,g:1,5, and Rechovot had unknown MLST types.
Among the isolates with multiple AR genes, strong positive correlations (r > 0.7) were found for the co-occurrence of several AR genes (Figure 2). Strong positive correlations were found for the co-occurrence of multiple aminoglycoside genes, including aadA1 with aph(3′)-Ia, aph(3″)Ib, or aph(6″)-Id. Strong correlations were also found for the co-occurrence of antibiotic resistance genes from different antibiotic classes, including sul2 with multiple aminoglycoside resistance genes, tetA, or drfA14 (Figure 2).

2.3. Replicon Types Detected

In this study, 43.1% (44/102) of Salmonella strains possessed at least one plasmid replicon, with 18.2% (8/44) of those containing three or more different plasmid replicons (Table 1 and Figure 1). The replicons detected in the S. Typhimurium strains analyzed were Col4401, IncX1, IncFIB(S), IncFII(S), and IncFII(pCoo). The plasmids found in S. Derby included Col8282, IncB/O/K/Z, IncFIB (H89-PhagePlasmid), IncQ1, IncI1-I (Alpha), and Col(pHAD28), as shown in Table 1. A total of 10 of the 44 isolates (22.7%) had the IncFIB(H89-PhagePlasmid) found in 2 S. Hato and 8 S. Derby isolates. The isolates containing this replicon all had sequences with 99% identity to AnCo3, a phage-like plasmid detected in a clinical S. Derby isolate from Canada. However, in one S. Hato isolate, the sequence was distributed over many contigs [12]. All IncB/O/K/Z replicons identified were partial sequences. IncQ1 replicons were partial sequences in 21 isolates.
Plasmid replicons and AMR genes were present on the same contig in 25 isolates (Table 2). However, other AMR genes were likely physically linked to plasmid replicons but were not detected in the WGS assembly as evidenced by some isolates containing AR genes and plasmid replicons with strong positive correlations (r > 0.7) for the co-occurrence of AR genes and plasmid replicons. In particular, the IncQ1 replicon was strongly correlated with tetA, sul2, dfrA14, and multiple aminoglycoside resistance genes (Figure 2 and Supplementary Table S1).

2.4. Phylogenetic Analysis of S. Derby Isolates

Both S. Derby isolates containing the fosA7 gene were compared to publicly available S. Derby genomes from chicken sources using cgMLST (Figure 3). The two isolates from this study were the only members of cgMLST type 227,637 in the analyzed dataset and were located on a branch by themselves.

3. Discussion

The present study shows that poultry is a reservoir of MDR Salmonella strains in Burkina Faso. Kagambèga et al. [4] previously reported this. A previous study demonstrated that Burkina Faso does not have a commercial slaughterhouse for chickens and that slaughtering is instead carried out at traditional markets [9]. The conditions of chicken slaughter do not respect good hygienic practices, and this undoubtedly promotes cross-contamination, especially during evisceration, between carcasses and chicken feces, representing a risk to human health in Burkina Faso.
MDR Salmonella Typhimurium and Kentucky regularly cause human salmonellosis in Burkina Faso, but the sources of these salmonellosis cases remain uninvestigated [13,14]. Many researchers have demonstrated that poultry eggs and meat are major vehicles for human salmonellosis, which is exacerbated by imports from around the world [4,15,16]. The uncontrolled use of antibiotics in Burkina Faso poultry farming contributes to the development of AMR in pathogens and commensal flora. Moreover, the emergence of AMR in bacteria from poultry farms has generated human health concerns due to the consumption of contaminated meat and eggs [17].
Salmonella Hato and Derby were the most prevalent serotypes isolated from chickens in this study. Previous studies in Burkina Faso revealed that S. Derby and S. Hato were the major serotypes circulating in poultry [9,10]. Abdelkader et al. [18] found similar results in Niger, which borders Burkina Faso. S. Hato and S. Derby isolates showed phenotypic resistance to different classes of antibiotics, such as aminoglycosides, tetracycline, trimethoprim, and sulfonamides, and contained genes predicted to confer resistance to fosfomycin. Interestingly, eight S. Derby and two S. Hato isolates contained a phage-like plasmid with 99% identity to AnCo3. Phage-like plasmids have previously been described in North America to be associated with blaCTX-M-15 genes. AnCo3 was first identified in a S. Derby clinical isolate in Canada. Although similar to AnCo and AnCo2, which contain blaCTX-M-15, this phage-like plasmid contains no AMR genes. To the best of our knowledge, this is the first report of a phage-like plasmid in Burkina Faso, indicating the global spread of these emerging mobile genetic elements.
However, several of the AMR genes identified in S. Hato isolates were only partial sequences. Despite the genes for sulfonamide and trimethoprim resistance appearing as partial in the WGS data, most of these isolates still showed phenotypic resistance to trimethoprim/sulfamethoxazole. These isolates also contained partial IncQ1 replicon sequences, some of which were co-located on contigs with IncI1 replicons. It is possible that these plasmids have merged and that the AMR genes carried have been disrupted. It is also possible that these isolates contained yet unknown resistance genes for these antibiotics. However, it is also possible that an assembly error stemming from repeated DNA sequences, which is notoriously difficult to assemble, caused these genes to appear partial when they are in fact not. In all of these cases of partial sequences, long-read sequencing would be beneficial to further investigate the genetic structure of these plasmids and AMR genes.
Unsurprisingly, the S. Derby isolates containing the fosA7 gene in this study were genetically unique as compared to publicly available sequences from chickens. The majority of the publicly available Salmonella genomes are from countries with surveillance systems, which Burkina Faso lacks, so it is reasonable that these geographically distinct isolates would also be genetically unique.
Salmonella Typhimurium isolated in this study possessed blaTEM-1B β-lactamase for β-lactam resistance. Extended-spectrum β-lactam resistance could not be confirmed on the susceptibility panel. One S. Typhimurium isolate possessed the resistance gene mph(A) for macrolide resistance, which could not be confirmed because the panel lacked a macrolide antibiotic. MDR S. Typhimurium strains were previously isolated from chickens, and they showed more than 80% genetic similarity to S. Typhimurium isolated from human patients [4]. These facts show that chickens and their products constitute a potential danger for the colonization of humans with antibiotic-resistant Salmonella. In this study, 36.3% (37/102) of the strains analyzed contained resistance genes for two or more antibiotic classes, with resistance genes from the aminoglycoside class being the most prevalent. Some strains contained up to nine different resistance genes.
The resistance genes found in this study did not always correlate with the resistance phenotypes. While many isolates possess aminoglycoside resistance genes, the antimicrobial susceptibility test results showed that only four (3.9%) isolates were resistant to gentamicin and that none were resistant to tobramycin. One S. Typhimurium isolate only possessed the aac(6′)-Iaa gene but showed phenotypic resistance to tetracycline and trimethoprim/sulfamethoxazole. In this case, it is possible that the strain lost a plasmid containing the genes for resistance to these drugs between susceptibility testing and sequencing or that the isolate contains yet unknown genes.
Several antibiotic resistance genes were also detected where phenotypic resistance was not confirmed. For example, there is no CLSI method for phenotypic determination of fosfomycin resistance using broth microdilution, so phenotypic resistance could not be determined. Additionally, AAC(6′) enzymes inactivate aminoglycoside antibiotics by acetylating their substrates at the 6′ position and can confer resistance to amikacin and kanamycin, which were not included on the panel of antibiotics used [19]. However, the aac(6′)-Iaa gene has been demonstrated to be non-functional in Salmonella unless the strain possesses a mutation to render the promotor for the gene functional [20].
Three of the four S. Kentucky isolates identified in poultry in this study showed multi-drug resistance phenotypically, with nine different resistance genes conferring resistance to four or more different antibiotic classes and the qacE gene conferring resistance to antiseptics, although this gene was only partially present. In contrast, a study conducted by Chuanchuen et al. [21] in Thailand found that twenty-seven percent of the Salmonella strains isolated from poultry and swine possessed qacEΔ1 and that none of them harbored qacE. This qacE identified in this study could be explained by the repeated usage of disinfectants, including quaternary ammonium compounds (QACs), in the farm environment in Burkina Faso. This may increase the selection and persistence of bacteria with reduced susceptibility not only to antiseptics but also possibly to antibiotics [22]. However, phenotypic resistance would have to be confirmed as only a partial gene is present.
The use of PlasmidFinder in this study detected the plasmids with replicon sequences IncFIB(S), IncFII(S), IncFII(pCoo), IncFIB (H89-PhagePlasmid), IncB/O/K/Z, IncX1, and IncQ1 in Salmonella isolates. These isolates carried resistances genes for four, three, and two/one classes of antibiotics, including aminoglycosides, β-lactams, sulfonamides, tetracyclines, and phenicols. Villa et al. [23] reported similar results on the IncF group carrying ESBL or plasmid-mediated quinolone or aminoglycoside resistance genes. Carattoli et al. [24] demonstrated that the IncF plasmid family is prevalent in clinically resistant isolates of Enterobacteriaceae. Moreover, IncF can be virulence-associated plasmids, which give host bacteria the ability to cause a more virulent infection [25]. IncX1 plasmids have been associated with genes for resistance to β-lactams and aminoglycosides in Salmonella isolated in the USA and genes for resistance to quinolones globally [26,27]. Isolates carrying IncQ1 replicons also carried aminoglycoside resistance genes and sul2 with a strong correlation. This result was not surprising, as IncQ1 plasmids are known to be commonly associated with genes for resistance to aminoglycosides, tetracyclines, and sulfonamides [28].
The present study concurs with previous research that the T57S substitution detected in parC is not always associated with a quinolone resistance phenotype since it has been found in both resistant and susceptible isolates [11,29]. Feng et al. [30] also found similar results in a study of a Salmonella Goldcoast lineage in Northern Taiwan, where a single T57S mutation was not always sufficient to confer clinically significant resistance.

4. Materials and Methods

4.1. Bacterial Strains

Isolates were collected during a previous investigation of Salmonella found in various foods, food animals, and humans in Burkina Faso [9]. The Salmonella isolates (n = 102) from the cecal and/or intestinal contents of slaughtered chickens used in this study were obtained from the Laboratoire de Biologie Moléculaire, d’épidémiologie et de surveillance des bactéries et virus transmissible par les aliments (LaBESTA)/Université Joseph KI-ZERBO, Burkina Faso. Slaughtered chickens were sourced from markets in different villages across the country. Salmonella were isolated using standard methods as previously described [9].

4.2. Antimicrobial Susceptibility Testing

For antibiotic susceptibility testing, the isolates were streaked onto Tryptic Soy Agar (TSA) with 5% sheep blood (BBL, Fisher Scientific, Pittsburg, PA, USA) and incubated for 24 h at 37 °C. One colony from each plate was streaked onto a new TSA blood plate for another 24 h at 37 °C. Susceptibility testing was performed using broth microdilution, following the manufacturer’s instructions for the Sensititre™ semi-automated antimicrobial susceptibility system (TREK Diagnostic Systems Inc., Cleveland, OH, USA) and the Sensititre™ Gram-Negative plate format, with plate code GN4F (Thermo, Fisher Scientific, Pittsburg, PA, USA). Minimum inhibitory concentrations (MICs, µg/mL) of all Salmonella isolates were classified as resistant, intermediate, or susceptible to the antimicrobials tested using the breakpoints set by the Clinical and Laboratory Standards Institute (CLSI) [31], with the exception of tigecycline. A breakpoint for resistance to tigecycline for Enterobacteriaceae has not been defined, and, therefore, we did not make a judgement on tigecycline resistance. Antimicrobial breakpoints were as follows: Amikacin (≥64 µg mL−1); Piperacillin/tazobactam (≥128/4 µg mL−1); Ticarcillin/clavulanic acid (≥128/2 µg mL−1); Levofloxacin (≥2 µg mL−1); Nitrofurantoin (≥128 µg mL−1); Tetracycline (≥16 µg mL−1); Doripenem (≥4 µg mL−1); Minocycline (≥16 µg mL−1); Ertapenem (≥2 µg mL−1); trimethoprim/sulfamethoxazole (≥4/76 µg mL−1); Imipenem (≥4 µg mL−1); Piperacillin (≥128 µg mL−1); Meropenem (≥4 µg mL−1); gentamicin (≥16 µg mL−1); Cefazolin (≥32 µg mL−1); Tobramycin (≥16 µg mL−1); Ceftazidime (≥16 µg mL−1); Ampicillin/sulbactam (≥32/16 µg mL−1); Aztreonam (≥16 µg mL−1); Ampicillin (≥32 µg mL−1); Cefepime (≥16 µg mL−1); Ciprofloxacin (≥1 µg mL−1); and Ceftriaxone (≥4 µg mL−1). For the analysis, isolates identified as intermediate were considered susceptible to the drug. Control strains used were E. coli ATCC 25922, Pseudomonas aeruginosa ATCC 27853, Enterococcus faecalis ATCC 29212, and Staphylococcus aureus ATCC 29213. For each isolate, a final inoculum of 1.5 × 108 CFU/mL was targeted. The panels were read after 18 h of incubation at 35 °C.

4.3. DNA Extraction, Whole-Genome Sequencing, Assembly, Annotation, and Molecular Serotyping

DNA extraction, library preparation, whole-genome sequencing, assembly, and annotation for the 102 Salmonella strains were completed as previously reported [11]. Briefly, libraries were prepared using Nextera XT DNA library preparation kits, which were sequenced using either a 300 or 500 cycle Illumina MiSeq version 2 reagent kit. Reads were assembled using A5 and annotated with the NCBI Prokaryotic Genome Annotation Pipeline [32]. The sequences were deposited into NCBI under BioProject no. PRJNA679582 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA679582 accessed on 22 March 2022). The serovar determination of the strains using SeqSero was previously described [11]. Identification of serotypes, antibiotic resistance genes, chromosomal mutations, MLST, and plasmids was carried out.
Antibiotic resistance genes and chromosomal point mutations associated with resistance were identified using ResFinder 4.1 through the Center for Genomics Epidemiology (CGE) website (https://cge.cbs.dtu.dk/services/ accessed on 6 May 2022) [33]. Genes with 80% identity and greater than 90% coverage were considered present, and genes with coverage between 40% and 90% were considered present but partial genes. Complete but disrupted genes were noted. Multilocus sequence type (MLST) for each isolate was identified using MLST 2.0 through CGE [34]. PlasmidFinder 2.1 accessed through CGE was used to identify plasmid replicons [35,36]. Replicons with 80% identity and greater than 90% coverage were considered present, and replicons with coverage between 40% and 90% were considered present but partial replicons. Partial AMR genes and replicons were confirmed as partial or complete but disrupted using BLAST [37]. For incompatibility groups with an established scheme, plasmid MLST (pMLST) type was determined using https://pubmlst.org/organisms/plasmid-mlst/ (accessed on 6 May 2022) [38]. Plasmid replicons or pMLST gene targets found on the same contig as AMR genes were noted. Contigs containing phage-like plasmid replicons were confirmed as phage-like plasmids with BLAST.

4.4. Phylogenetic Analysis of Salmonella Derby Isolates

Raw paired-end fastq files of both S. Derby isolates (S171 and S251), which contained fosA7, were imported into Enterobase (https://enterobase.warwick.ac.uk/, accessed on 6 May 2022) and compared to all the publicly available genomes of S. Derby (n = 197) sourced from poultry in Enterobase, updated on 12 October 2021, using single-nucleotide polymorphisms (SNPs) and hierarchical clustering of core genome (cg) MLST (HierCC) (Zhou et al., 2020). Our study isolates (S171 and S251) and the retrieved genomes from Enterobase were all aligned to the reference S. Derby 2014LSAL01779 complete genome (CP026609.1) and designated to HC100 differing by ≤100 core genomic alleles.

4.5. Statistical Analysis

To determine the overall distribution of plasmid replicon types and antimicrobial resistance genes among the examined Salmonella serovars, a heatmap with hierarchical clustering was generated using package “pheatmap” in R software (version 3.4.2). A correlation analysis was also performed to determine the association of both determinants among the examined Salmonella isolates. Antimicrobial resistance genes and plasmid replicons results, including partial sequences, were converted into binary data (0/1), where the presence of plasmid replicons and resistance genes in isolates received scores of 1, whereas absence of both determinants received scores of 0. The binary data (0/1) for antimicrobial resistance genes and plasmid replicon types were uploaded into R software (version 3.6.1; https://www.r-project.org, accessed on 6 May 2022), and the correlation was calculated at a significance of p < 0·05 using “cor” and “cor.mtest” functions. The correlation plot was then generated using the “corrplot” function. Based on the values of r, the degree of correlation is considered strong, moderate, and weak if r value is >0.6, 0.4–0.6, and <0.4, respectively.

5. Conclusions

This study shows once again that chicken constitutes a reservoir not only of pathogenic bacteria but also of bacteria that are multi-drug resistant. Chicken is a good source of animal protein and is very popular in Burkina Faso, as production is expanding in the country. This food-producing animal is a reservoir of multi-drug-resistant Salmonella, but this study is the first one in the country that reports potential resistance to antiseptics associated with multi-drug resistance. Unfortunately, the country does not have suitable slaughterhouses for chickens, and each market designates one site to slaughter, sell, and roast chickens, which very often smells foul and is visibly unsanitary. The soil and detritus from these poultry processing sites are transported by rainwater to the environment, which contributes to the pollution of water reservoirs and the environment with resistant pathogenic bacteria. Authorities should consider implementing a farm-to-fork quality control system to minimize the risk of pathogenic bacteria contaminating chickens and, subsequently, consumers. Using WGS is a very quick solution to characterize the genome of pathogenic bacteria. Efforts must be made to popularize these methods in developing countries such as Burkina Faso.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/antibiotics11060782/s1, Table S1: Characteristics of Salmonella isolated from slaughtered chickens.

Author Contributions

Conceptualization, A.K., E.A.M., H.R., C.R.J. and J.G.F.; methodology, A.K., E.A.M., L.M.H., H.R., P.S. and S.K.G.; software, H.R., P.S. and S.K.G.; formal analysis, A.K., E.A.M., L.M.H., H.R., P.S. and S.K.G.; resources, A.K., E.A.M., S.C.B., L.M.H., H.R., D.K.S., P.S., S.K.G., N.B., C.R.J. and J.G.F.; data curation, E.A.M. and L.M.H.; writing—original draft preparation, A.K., E.A.M., L.M.H. and J.G.F.; writing—review and editing, A.K., E.A.M., S.C.B., L.M.H., H.R., D.K.S., P.S., S.K.G., N.B., C.R.J. and J.G.F.; visualization, H.R.; supervision, L.M.H. and J.G.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the U.S. Department of Agriculture (USDA) project plans 6040-32000-009-00 and 6040-32000-079-00; A.K. was supported by a Fulbright Scholarship.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets and Accession numbers generated during the current study are available in the NCBI repository under BioProject no. PRJNA679582 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA679582;https://www.ncbi.nlm.nih.gov/biosample?Db=biosample&DbFrom=bioproject&Cmd=Link&LinkName=bioproject_biosample&LinkReadableName=BioSample&ordinalpos=1&IdsFromResult=679582 accessed on 22 March 2022).

Acknowledgments

The authors would like to thank Calvin Williams for IT support and the members of the Bacterial Epidemiology and Antimicrobial Resistance research unit for their support and assistance.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tay, M.Y.F.; Pathirage, S.; Chandrasekaran, L.; Wickramasuriya, U.; Sadeepanie, N.; Waidyarathna, K.D.K.; Liyanage, L.D.C.; Seow, K.L.G.; Hendriksen, R.S.; Takeuchi, M.T.; et al. Whole-Genome Sequencing Analysis of Nontyphoidal Salmonella enterica of Chicken Meat and Human Origin under Surveillance in Sri Lanka. Foodborne Pathog. Dis. 2019, 16, 531–537. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Eguale, T. Non-typhoidal Salmonella serovars in poultry farms in central Ethiopia: Prevalence and antimicrobial resistance. BMC Vet. Res. 2018, 14, 217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Foley, S.L.; Nayak, R.; Hanning, I.B.; Johnson, T.J.; Han, J.; Ricke, S.C. Population dynamics of Salmonella enterica serotypes in commercial egg and poultry production. Appl. Environ. Microbiol. 2011, 77, 4273–4279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Kagambèga, A.; Thibodeau, A.; Trinetta, V.; Soro, K.D.; Sama, F.N.; Bako, E.; Bouda, S.C.; Wereme, A.; Fravalo, P.; Barro, N. Salmonella spp. and Campylobacter spp. in poultry feces and carcasses in Ouagadougou, Burkina Faso. Food Sci. Nutr. 2018, 6, 1601–1606. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. World Health Organization. WHO Estimates of the Global Burden of Foodborne Diseases: Foodborne Disease Burden Epidemiology Reference Group 2007–2015; World Health Organization: Geneva, Switzerland, 2015; ISBN 9789241565165. Available online: https://www.who.int/ (accessed on 22 March 2022).
  6. Ministry of Animal Resources. Yearbooks of Livestock Statistics; Ministry of Animal Resources: Ouagadougou, Burkina Faso, 2021; 177p. [Google Scholar]
  7. Kagambèga, A.; Haukka, K.; Siitonen, A.; Traoré, A.S.; Barro, N. Prevalence of Salmonella enterica and the hygienic indicator Escherichia coli in raw meat at markets in Ouagadougou, Burkina Faso. J. Food Prot. 2011, 74, 1547–1551. [Google Scholar] [CrossRef]
  8. Lee, L.E.; Niode, O.; Simonne, A.H.; Bruhn, C.M. Consumer perceptions on food safety in Asian and Mexican restaurants. Food Control 2012, 26, 531–538. [Google Scholar] [CrossRef]
  9. Kagambèga, A.; Lienemann, T.; Aulu, L.; Traoré, A.S.; Barro, N.; Siitonen, A.; Haukka, K. Prevalence and characterization of Salmonella enterica from the intestines of cattle, poultry, swine and hedgehogs in Burkina Faso and their comparison to human Salmonella isolate. Salmonella. BMC Microbiol. 2013, 13, 253. [Google Scholar] [CrossRef] [Green Version]
  10. Bouda, S.C.; Kagambèga, A.; Bonifait, L.; Le Gall, F.; Ibrahim, H.B.; Bako, E.; Bagre, T.S.; Zongo, C.; N’diaye, W.A.; Traore, A.S.; et al. Prevalence and Antimicrobial Resistance of Salmonella enterica Isolated from Chicken and Guinea Fowl in Burkina Faso. Int. J. Microbiol. Biotechnol. 2019, 4, 64–71. [Google Scholar] [CrossRef] [Green Version]
  11. Kagambèga, A.; Hiott, L.M.; Boyle, D.S.; McMillan, E.A.; Sharma, P.; Gupta, S.K.; Ramadan, H.; Cho, S.; Humayoun, S.B.; Woodley, T.A.; et al. Serotyping of sub-Saharan Africa Salmonella strains isolated from poultry feces using multiplex PCR and whole genome sequencing. BMC Microbiol. 2021, 21, 29. [Google Scholar] [CrossRef]
  12. Colavecchio, A.; Jeukens, J.; Freschi, L.; Edmond Rheault, J.G.; Kukavica-Ibrulj, I.; Levesque, R.; Goodridge, L. AnCo3, a new member of the emerging family of Phage-Like Plasmids. Genome Announc. 2017, 5, e00110-17. [Google Scholar] [CrossRef] [Green Version]
  13. Bonkoungou, I.J.O.; Haukka, K.; Österblad, M.; Hakanen, A.J.; Traoré, A.S.; Barro, N.; Siitonen, A. Bacterial and viral aetiology of childhood diarrhea in Ouagadougou, Burkina Faso. BMC Pediatrics 2013, 13, 36. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Simporé, J.; Ouermi, D.; Ilboudo, D.; Kabre, A.; Zeba, B.; Pietra, V.; Pignatelli, S.; Nikiema, J.B.; Kabre, G.B.; Caligaris, S.; et al. Aetiology of acute gastro-enteritis in children at Saint Camille Medical Centre, Ouagadougou, Burkina Faso. Pak. J. Biol. Sci. 2009, 12, 258–263. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Sajid, S.U.; Sajid, M.; Hashmi, R.I. Isolation studies on the prevalence of salmonellae in chicken organs, eggs and feed components. J. Ayub Med. Coll. Abbottabad 2015, 27, 530–533. [Google Scholar] [PubMed]
  16. Fearnley, E.; Raupach, J.; Lagala, F.; Cameron, S. Salmonella in chicken meat, eggs and humans; Adelaide, South Australia. Int. J. Food Microbiol. 2011, 146, 219–227. [Google Scholar] [CrossRef]
  17. EFSA. The European Union Summary Report on antimicrobial resistance in zoonotic and indicator bacteria from humans, animals and food in 2012. EFSA J. 2014, 12, 3590. [Google Scholar] [CrossRef]
  18. Abdelkader, A.S.; Oumarou, S.S.; Maârouhi, I.M.; Boubacar, S.A.; Ousseini, M.H.; Yacoubou, B. Diversity and Distribution of Salmonella Isolated from Poultry Offal in Niger (West Africa). Int. J. Microbiol. Biotechnol. 2019, 4, 103–112. [Google Scholar] [CrossRef] [Green Version]
  19. Stephen, J.S.; Barry, G.H. Determining the Limits of the Evolutionary Potential of an Antibiotic Resistance Gene. Mol. Biol. Evol. 2003, 20, 653–659. [Google Scholar] [CrossRef]
  20. Magnet, S.; Courvalin, P.; Lambert, T. Activation of the Cryptic aac(6′)-IyAminoglycoside Resistance Gene of Salmonella by a Chromosomal Deletion Generating a Transcriptional Fusion. J. Bacteriol. 1999, 181, 6650–6655. [Google Scholar] [CrossRef] [Green Version]
  21. Chuanchuen, R.; Khemtong, S.; Padungtod, P. Occurrence of qace/qaceδ1 genes and their correlation with class 1 integrons in salmonella enterica isolates from poultry and swine. Southeast Asian J. Trop. Med. Public Health 2007, 38, 855–862. [Google Scholar]
  22. Randall, L.P.; Cooles, S.W.; Piddock, L.J.; Woodward, M.J. Effect of triclosan or a phenolic farm disinfectant on the selection of antibiotic-resistant Salmonella enterica. J. Antimicrob. Chemother. 2004, 54, 621–627. [Google Scholar] [CrossRef]
  23. Villa, L.; García-Fernández, A.; Fortini, D.; Carattoli, A. Replicon sequence typing of IncF plasmids carrying virulence and resistance determinants. J. Antimicrob. Chemother. 2010, 65, 2518–2529. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Carattoli, A. Resistance plasmid families in Enterobacteriaceae. Antimicrob. Agents Chemother. 2009, 53, 2227–2238. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Silva, C.; Puente, J.L.; Calva, E. Salmonella virulence plasmid: Pathogenesis and ecology. Pathog. Dis. 2017, 75, ftx070. [Google Scholar] [CrossRef]
  26. Rozwandowicz, M.; Brouwer, M.S.M.; Fischer, J.; Wagenaar, J.A.; Gonzalez-Zorn, B.; Guerra, B.; Mevius, D.J.; Hordijk, J. Plasmids carrying antimicrobial resistance genes in Enterobacteriaceae. J. Antimicrob. Chemother. 2018, 73, 1121–1137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. McMillan, E.A.; Gupta, S.K.; Williams, L.E.; Jové, T.; Hiott, L.M.; Woodley, T.A.; Barrett, J.B.; Jackson, C.R.; Wasilenko, J.L.; Simmons, M.; et al. Antimicrobial resistance genes, cassettes, and plasmids present in Salmonella enterica associated with United States food animals. Front. Microbiol. 2019, 10, 832. [Google Scholar] [CrossRef]
  28. McMillan, E.A.; Jackson, C.R.; Frye, J.G. Transferable Plasmids of Salmonella enterica Associated with Antibiotic Resistance Genes. Front. Microbiol. 2020, 11, 562181. [Google Scholar] [CrossRef]
  29. Baucheron, S.; Chaslus-Dancla, E.; Cloeckaert, A.; Chiu, C.H.; Butaye, P. High-level resistance to fluoroquinolones linked to mutations in gyrA, parC, and parE in Salmonella enterica serovar Schwarzengrund isolates from humans in Taiwan. Antimicrob. Agents Chemother. 2005, 49, 862–863. [Google Scholar] [CrossRef] [Green Version]
  30. Feng, Y.; Chang, Y.J.; Fang, S.H.; Su, L.H.; Li, H.C.; Yang, H.P.; Yu, M.J.; Chiu, C.H. Emergence and Evolution of High-Level Cephalosporin-Resistant Salmonella Goldcoast in Northern Taiwan. In Open Forum Infectious Diseases; Oxford University Press: Oxford, UK, 2019; Volume 6, p. ofz447. [Google Scholar] [CrossRef]
  31. M100 Clinical and Laboratory Standards Institute M100 Ed30 Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Fourth Informational Supplement; CLSI: Wayne, PA, USA, 2020.
  32. Coil, D.; Jospin, G.; Darling, A.E. A5-miseq: An updated pipeline to assemble microbial genomes from Illumina MiSeq data. Bioinformatics 2015, 31, 587–589. [Google Scholar] [CrossRef]
  33. Zankari, E.; Hasman, H.; Cosentino, S.; Vestergaard, M.; Rasmussen, S.; Lund, O.; Aarestrup, F.M.; Larsen, M.V. Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 2012, 67, 2640–2644. [Google Scholar] [CrossRef]
  34. Larsen, M.V.; Cosentino, S.; Rasmussen, S.; Friis, C.; Hasman, H.; Marvig, R.L.; Jelsbak, L.; Sicheritz-Pontén, T.; Ussery, D.W.; Aarestrup, F.M.; et al. Multilocus Sequence Typing of Total Genome Sequenced Bacteria. J. Clin. Micob. 2012, 52, 1501–1510. [Google Scholar] [CrossRef] [Green Version]
  35. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T.L. BLAST+: Architecture and applications. BMC Bioinform. 2009, 10, 421. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Carattoli, A.; Zankari, E.; Garcia-Fernandez, A.; Voldby Larsen, M.; Lund, O.; Villa, L.; Aarestrup, F.M.; Hasman, H. PlasmidFinder and pMLST: In silico detection and typing of plasmids. Antimicrob. Agents Chemother. 2014, 58, 3895–3903. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Boratyn, G.M.; Camacho, C.; Cooper, P.S.; Coulouris, G.; Fong, A.; Ma, N.; Madden, T.L.; Matten, W.T.; McGinnis, S.D.; Merezhuk, Y.; et al. BLAST: A more efficient report with usability improvements. Nucleic Acids Res. 2013, 41, 29–33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Jolley, K.A.; Bray, J.E.; Maiden, M.C.J. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res. 2018, 3, 124. [Google Scholar] [CrossRef] [PubMed]
Antibiotics 11 00782 g001 550
Figure 1. Antibiotic resistance genes and plasmid replicons present in Salmonella isolated from slaughtered chickens in Burkina Faso. Genes and replicons present are indicated by dark blue squares; absent genes and replicons are indicated by gray squares. The serotypes are indicated by colored blocks as defined in the key. Relationships based on presence/absence of these genetic elements are indicated by the supporting dendrograms.
Figure 1. Antibiotic resistance genes and plasmid replicons present in Salmonella isolated from slaughtered chickens in Burkina Faso. Genes and replicons present are indicated by dark blue squares; absent genes and replicons are indicated by gray squares. The serotypes are indicated by colored blocks as defined in the key. Relationships based on presence/absence of these genetic elements are indicated by the supporting dendrograms.
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Antibiotics 11 00782 g002 550
Figure 2. Correlation coefficients for whole and partial antibiotic resistance genes and plasmid replicons present in Salmonella isolates from slaughtered chickens. The blue colors of boxes indicate positive correlation with significance calculated at p < 0.05. The strength of color corresponds to the numerical value of the correlation coefficient (r). Blank boxes indicate non-significant correlations.
Figure 2. Correlation coefficients for whole and partial antibiotic resistance genes and plasmid replicons present in Salmonella isolates from slaughtered chickens. The blue colors of boxes indicate positive correlation with significance calculated at p < 0.05. The strength of color corresponds to the numerical value of the correlation coefficient (r). Blank boxes indicate non-significant correlations.
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Antibiotics 11 00782 g003 550
Figure 3. Phylogenetic analysis of the examined S. Derby isolates containing fosA7 (n = 2) and publicly available S. Derby isolates from chicken in Enterobase (https://enterobase.warwick.ac.uk/ accessed on 1 June 2022) using single-nucleotide polymorphisms (SNPs) and hierarchical clustering of core genome (cg) MLST (HierCC). The legend shows cgMLST HC100, which indicates allelic differences of no more than 100 of 2850 core genomic alleles among isolates.
Figure 3. Phylogenetic analysis of the examined S. Derby isolates containing fosA7 (n = 2) and publicly available S. Derby isolates from chicken in Enterobase (https://enterobase.warwick.ac.uk/ accessed on 1 June 2022) using single-nucleotide polymorphisms (SNPs) and hierarchical clustering of core genome (cg) MLST (HierCC). The legend shows cgMLST HC100, which indicates allelic differences of no more than 100 of 2850 core genomic alleles among isolates.
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Table
Table 1. Characteristics of Salmonella isolated from slaughtered chickens.
Table 1. Characteristics of Salmonella isolated from slaughtered chickens.
SampleSerotypeAntimicrobial Resistances Genes aPhenotypic Resistance Profile b,cPlasmid Replicons cMLST
S38Albany or Dusseldorfaac(6′)-Iaa; aph(3′)-Ia; tet(A) TETIncI1-I (Alpha)292
S39Chesteraac(6′)-IaaNDND411
S47Hatoaac(6′)-IaaNDIncFIB (H89-PhagePlasmid)Unknown
S52Chesteraac(6′)-IaaNDND411
S53Hatoaac(6′)-IaaNDND3899
S58Telelkebiraac(6′)-Iaa; fosA7NDIncFIB(S)2386
S59Typhimuriumaac(6′)-Iaa; blaTEM-1B; mph(A)AMP; AMPSUL (A/S2); PIP; TICCLA(TIM2)Col440I, IncFIB(S), IncFII(S), IncFII(pCoo)313
S60Telelkebiraac(6′)-Iaa; fosA7NDND5494
S63Hatoaac(6′)-IaaNDND3899
S64Agonaaac(6′)-Iaa; fosA7NDND7876
S65Derbyaac(6′)-IaaNDND7119
S66I 1,3,19:f,g:1,5aac(6′)-IaaNDNDUnknown
S67Chesteraac(6′)-IaaNDND411
S69Kentuckyaac(6′)-laa; aac(3)-Id; aadA7; aph(3″)-Ib; aph(6)-Id; dfrA15; sul1; tet(A)GEN; TET; TRISUL(SXT)ND314
S71Virchowaac(6′)-IaaNDIncI1-I (Alpha)181
S72Amoutiveaac(6′)-IaaNDNDUnknown
S74Kentuckyaac(6′)-Iaa; aac(3)-Id; aadA7; aph(3″)-Ib; aph(6)-Id; dfrA15; sul1; tet(A)GEN; TET; TRISUL(SXT)ND314
S75Typhimuriumaac(6′)-IaaGEN; TET; TRISUL(SXT)ColRNAI, IncFIB(S), IncFII(S), IncX119
S80Derbyaac(6′)-IaaNDCol8282, IncFIB (H89-PhagePlasmid)5421
S82Chesteraac(6′)-IaaNDND411
S83Typhimuriumaac(6′)-IaaNDColRNAI, IncFIB(S), IncFII(S), IncX119
S86Brancasteraac(6′)-IaaNDNDUnknown
S90Gaminaraaac(6′)-IaaNDND2152
S91Derbyaac(6′)-IaaNDND7882
S92Derbyaac(6′)-IaaNDND7882
S93Schwarzengrundaac(6′)-IaaNDND96
S94Derbyaac(6′)-IaaNDND7880
S96Farmingdaleaac(6′)-IaaNDNDUknown
S97Derbyaac(6′)-IaaNDND7880
S99Anatumaac(6′)-IaaNDND5197
S102Bredeneyaac(6′)-IaaNDND306
S104Alexanderplatzaac(6′)-IaaNDIncFII(S)Unknown
S105Derbyaac(6′)-IaaNDND7882
S106Rechovotaac(6′)-IaaNDNDUnknown
S107Bredeneyaac(6′)-IaaNDND306
S109Derbyaac(6′)-IaaNDND7882
S110Eastbourneaac(6′)-IaaNDND414
S112Hatoaac(6′)-IaaNDND3997
S114Hatoaac(6′)-IaaNDNDUnknown
S115Derbyaac(6′)-IaaNDND7880
S118Poonaaac(6′)-IaaNDND308
S120Derbyaac(6′)-IaaNDND7882
S121Poonaaac(6′)-IaaNDND308
S123Bredeneyaac(6′)-IaaNDND306
S124Derbyaac(6′)-IaaNDND7880
S125Hatoaac(6′)-IaaNDNDUnknown
S126Rechovotaac(6′)-IaaNDNDUnknown
S132Derbyaac(6′)-IaaNDND7882
S133Derbyaac(6′)-IaaNDND7882
S140Alexanderplatzaac(6′)-IaaNDIncFII(S)Unknown
S143Alexanderplatzaac(6′)-IaaNDIncFII(S)Unknown
S145Tennesseeaac(6′)-IaaNDND8398
S147Dracaac(6′)-IaaNDND2221
S148Muensteraac(6′)-IaaNDND321
S149Muensteraac(6′)-IaaNDND321
S150Muensteraac(6′)-IaaNDND321
S151Muensteraac(6′)-IaaNDND321
S152Muensteraac(6′)-IaaNDND321
S153Muensteraac(6′)-IaaNDND321
S154Muensteraac(6′)-IaaNDND321
S155Poonaaac(6′)-IaaNDND608
S156Poonaaac(6′)-IaaNDND608
S162I 1,3,19:b:-aac(6′)-IaaNDNDUnknown
S163Derbyaac(6′)-IaaNDIncFIB (H89-PhagePlasmid)3135
S164I 1,3,19:b:-aac(6′)-IaaNDNDUnknown
S165Derbyaac(6′)-IaaNDIncFIB (H89-PhagePlasmid)3135
S167I 1,3,19:b:-aac(6′)-IaaNDNDUnknown
S168Typhimuriumaac(6′)-IaaNDColRNAI, IncFIB(S), IncFII(S), IncX119
S169Hatoaac(6′)-IaaNDIncFIB (H89-PhagePlasmid)3292
S170Derbyaac(6′)-IaaNDIncFIB (H89-PhagePlasmid)3135
S171Derbyaac(6′)-Iaa; fosA7NDCol(pHAD28), IncI1-I (Alpha)7881
S172Kentuckyaac(6′)-Iaa; dfrA15; sul1TRISUL(SXT)ND314
S175Hatoaac(6′)-Iaa; aadA1; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S183Derbyaac(6′)-Iaa; aph(3″)-Ib; aph(6)-Id; sul2; tet(A)MIN; TETIncFIB (H89-PhagePlasmid), IncQ13135
S184Hatoaac(6′)-Iaa; aph(3′)-Ia; [aph(3′’)-Ib]; aph(6)-Id; dfrA14; sul2TRISUL(SXT)IncI1-I (Alpha)3899
S185Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; dfrA14; sul2; tet(A)MIN; TET; TRISUL(SXT)IncI1-I (Alpha)3899
S186Hatoaac(6′)-Iaa; aadA1; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S187Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; aph(6)-Id; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S188Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; [aph(3″)-Ib]; sul2; tet(A)MIN; TET; TRISUL(SXT)IncI1-I (Alpha)3899
S191Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; aph(6)-Id; dfrA14; sul2; tet(A)MIN; TET; TRISUL(SXT)IncI1-I (Alpha)3899
S194Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; [aph(3″)-Ib]; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S196Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; [aph(3″)-Ib]; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S197Hatoaac(6′)-Iaa; aadA1; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S198Derbyaac(6′)-Iaa; aph(3′’)-Ib; aph(6)-Id; sul2; tet(A)MIN; TETIncQ13135
S199Derbyaac(6′)-Iaa; aph(3′’)-Ib; aph(6)-Id; sul2; tet(A)MIN; TETCol(pHAD28), Col8282, IncFIB (H89-PhagePlasmid), IncQ13135
S200Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; aph(6)-Id; dfrA14; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S201Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; [aph(3″)-Ib]; aph(6)-Id; dfrA14; sul2; tet(A)TRISUL(SXT)IncI1-I (Alpha)3899
S202Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; [aph(3″)-Ib]; aph(6)-Id; dfrA14; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S203Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S204Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; aph(6)-Id; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S207Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; [aph(3″)-Ib]; aph(6)-Id; dfrA14; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S208Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S209Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S212Hatoaac(6′)-Iaa; aph(3′’)-Ib; aph(6)-Id; sul2NDIncI1-I (Alpha)3899
S216Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S219Hatoaac(6′)-Iaa; aadA1; aph(3′)-Ia; [aph(3″)-Ib]; sul2; tet(A)TET; TRISUL(SXT)IncI1-I (Alpha)3899
S248Derbyaac(6′)-Iaa; aph(3′’)-Ib; aph(6)-Id; sul2; tet(A)TETCol8282, IncFIB (H89-PhagePlasmid), IncQ1Unknown
S249Derbyaac(6′)-Iaa; aph(3′’)-Ib; aph(6)-Id; sul2; tet(A)TETCol8282, IncFIB (H89-PhagePlasmid), IncQ1Unknown
S251Derbyaac(6′)-Iaa; aph(3″)-Ib; aph(6)-Id; fosA7; sul2; tet(A)MIN; TETCol(pHAD28), IncI1-I (Alpha)7881
S252Tennesseeaac(6′)-IaaNDND8398
S253I 1,3,19:b:-aac(6′)-IaaNDNDUnknown
S255Kentuckyaac(6′)-Iaa; aac(3)-Id; aadA7; aph(3″)-Ib; aph(6)-Id; dfrA15; sul1; tet(A)GEN; TET; TRISUL(SXT)ND314
a Genes in brackets [] are complete but disrupted by an insertion. b Abbreviations: TICCLA (TIM2), Ticarcillin/clavulanic acid; TET, tetracycline; MIN, Minocycline; TRISUL(SXT), trimethoprim/sulfamethoxazole; PIP, Piperacillin; GEN, gentamicin; AMPSUL (A/S2), Ampicillin/sulbactam; AMP, Ampicillin. Resistance was determined by susceptibility testing using MIC cut-offs from CLSI for resistance to the antibiotics indicated. c ND indicates “not detected”.
Table
Table 2. Plasmid replicons physically linked to antibiotic resistance genes.
Table 2. Plasmid replicons physically linked to antibiotic resistance genes.
IsolateSerotypesPlasmid RepliconpMLST Type aAntibiotic Resistance Genes
S38Albany or DusseldorfIncI1IncI1 ST 12, CC-12aph(3′)-Ia; tet(A)
S175HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S183DerbyIncQ1NAaph(3″)-Ib; aph(6)-Id; sul2; tet(A)
S184HatoIncI1 and IncQ1IncI1 ST 12, CC-12aph(3′’)-Ib; aph(6)-Id; dfrA14; sul2
S185HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id
S186HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S187HatoIncQ1NAaph(3″)-Ib; aph(6)-Id; dfrA14; sul2;
S188HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id
S194HatoIncI1IncI1 ST 12, CC-12aph(6)-Id
S196HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14
S197HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S198DerbyIncQ1NAaph(3′’)-Ib; aph(6)-Id; sul2; tet(A)
S199DerbyIncQ1NAaph(3′’)-Ib; aph(6)-Id; sul2; tet(A)
S201HatoIncI1 and IncQ1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S202HatoIncI1 and IncQ1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S203HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S204HatoIncQ1NAaph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S207HatoIncI1 and IncQ1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S208HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S209HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S212HatoIncI1 and IncQ1IncI1 ST 12, CC-12aph(3′’)-Ib; aph(6)-Id; sul2
S216HatoIncI1IncI1 ST 12, CC-12aph(3″)-Ib; aph(6)-Id; dfrA14; sul2
S248DerbyIncQ1NAaph(3′’)-Ib; aph(6)-Id; sul2; tet(A)
S249DerbyIncQ1NAaph(3′’)-Ib; aph(6)-Id; sul2; tet(A)
S251DerbyCol(pHAD28)NAaph(3″)-Ib; aph(6)-Id; sul2; tet(A)
a NA indicates “not applicable”, as this replicon type does not have a pMLST scheme.
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MDPI and ACS Style

Kagambèga, A.; McMillan, E.A.; Bouda, S.C.; Hiott, L.M.; Ramadan, H.; Soro, D.K.; Sharma, P.; Gupta, S.K.; Barro, N.; Jackson, C.R.; et al. Resistance Genes, Plasmids, Multilocus Sequence Typing (MLST), and Phenotypic Resistance of Non-Typhoidal Salmonella (NTS) Isolated from Slaughtered Chickens in Burkina Faso. Antibiotics 2022, 11, 782. https://doi.org/10.3390/antibiotics11060782

AMA Style

Kagambèga A, McMillan EA, Bouda SC, Hiott LM, Ramadan H, Soro DK, Sharma P, Gupta SK, Barro N, Jackson CR, et al. Resistance Genes, Plasmids, Multilocus Sequence Typing (MLST), and Phenotypic Resistance of Non-Typhoidal Salmonella (NTS) Isolated from Slaughtered Chickens in Burkina Faso. Antibiotics. 2022; 11(6):782. https://doi.org/10.3390/antibiotics11060782

Chicago/Turabian Style

Kagambèga, Assèta, Elizabeth A. McMillan, Soutongnooma C. Bouda, Lari M. Hiott, Hazem Ramadan, Daniel K. Soro, Poonam Sharma, Sushim K. Gupta, Nicolas Barro, Charlene R. Jackson, and et al. 2022. "Resistance Genes, Plasmids, Multilocus Sequence Typing (MLST), and Phenotypic Resistance of Non-Typhoidal Salmonella (NTS) Isolated from Slaughtered Chickens in Burkina Faso" Antibiotics 11, no. 6: 782. https://doi.org/10.3390/antibiotics11060782

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