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ORIGINAL RESEARCH article

Front. Vet. Sci., 09 February 2024
Sec. Veterinary Infectious Diseases
This article is part of the Research Topic Insights in Emerging or Re-emerging Zoonoses View all 14 articles

Epidemiology of Salmonella enterica subspecies enterica serotypes, isolated from imported, farmed and feral poultry in the Cayman Islands

  • 1Department of Environmental Health, Ministry of Health and Wellness, Grand Cayman, Cayman Islands
  • 2Department of Biomedical Sciences, Ross University School of Veterinary Medicine, Basseterre, Saint Kitts and Nevis
  • 3Department of Clinical Sciences, Ross University School of Veterinary Medicine, Basseterre, Saint Kitts and Nevis
  • 4Faculty of Veterinary Medicine, Department of Pathobiology, Pharmacology and Zoological Medicine, Ghent University, Merelbeke, Belgium
  • 5Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China

Non-typhoidal Salmonellae (NTS) are common foodborne pathogens throughout the world causing acute gastroenteritis. Compared to North America and Europe, there is little information on NTS in the Caribbean. Here we investigated the prevalence and characteristics of NTS present in the local poultry of the Cayman Islands to determine the public health risk. In total, we collected 156 samples. These were made up of boot swabs of 31 broiler farms and 31 layer farms (62 samples), paper bedding from 45 imported chick boxes, and 49 pooled cecum samples from feral chickens, each sample representing 10 individual chickens. Salmonella was isolated using the ISO 6579 protocol and isolates were characterized using Whole Genome Sequencing (WGS) analysis. Eighteen Salmonella isolates were obtained and comprised six S. enterica subspecies enterica serotypes and one subspecies houtenae serotype. Serotypes were: S. Kentucky (n = 9), S. Saintpaul (n = 5), S. Javiana (n = 1), S. Senftenberg (n = 1), S. Poona (n = 1) and S. Agona (n = 1). S. Kentucky strains were all ST152 and clonally related to poultry strains from the United states. S. Saintpaul ST50 strains showed clonality to North American strains. Over half of the strains (n = 11) contained resistance genes to at least two antibiotic groups and five strains were MDR, mainly those from imported day-old chicks. The blaCMY-2 gene was found in S. Kentucky from day-old chicks. Strains from feral poultry had no acquired AMR genes. While serotypes from feral poultry have been identified in human infections, they pose minimal risk due to their low virulence.

1 Introduction

Non-typhoidal Salmonellae (NTS) cause over 93 million infections worldwide, with approximately 80.3 million attributed to food-borne transmission (1). The economic burden of salmonellosis in the United States alone has been estimated at $3.7 billion US dollars per year, ranking 1st among 15 other foodborne pathogens (2). NTS infections are one of the leading causes of death and hospitalizations amongst foodborne infections in the U.S (3). Symptoms are usually mild with fever, abdominal pain and diarrhea, but can becoming life-threating mainly in children under five years of age, immunocompromised and elderly people (4, 5). NTS infections usually do not require treatment, are self-limiting and patients can make a full recovery.

Human health is one of the three major components of the One Health concept, along with animal health and environmental health (6). The One Health concept emphasizes the close relationship between animal and human health as well as the environment and its ecosystems, to ensure optimal and sustainable balance between these three components. This is achieved by a collaborative, multi-discipline effort of different sectors to effectively address global health problems and create policies for long-term sustainability (7).

One critical threat that undermines the One Health concept is antimicrobial resistance (AMR), in which antimicrobials become ineffective, increased complications in treatment and the rise of ‘superbug’ microbes (8, 9). In 2019, AMR was declared among the top 10 threats to global health according to the World Health Organization. AMR is of great concern among NTS since it increases treatment difficulties. However, there is significant variation in the prevalence of AMR, depending on geographical location, time, and serotype (10). Of grave concern is the resistance against third-generation cephalosporins and fluoroquinolones (According to the World Health Organization’s classification, these are deemed as Highest Priority Critically Important Antimicrobials), which are currently the preferred antibiotic treatment of severe human NTS infections in the both the United States and EU (11). In the USA there is a steady decline of AMR in NTS. In 2019, 78% of Salmonella isolated from clinical cases did not exhibit any antibiotic resistance (12), in comparison to previous years of 70% in 2014 and 76% in 2015 (13, 14). While ciprofloxacin resistance in the United States has remained steadily under 0.5% since 2018, decreased susceptibility to ciprofloxacin has been steadily rising starting from 0.2% of isolates in 1996 to 10.7% of isolates reported in 2019 (12). Resistance against ceftriaxone remained stable at 3% in 2019 (15), while in 2009, 20.8% of the Salmonella isolated from chickens were resistant to third generation cephalosporins. This contrasts to human clinical infections reported during those years, with ceftriaxone resistance consistently around 2.5% for the last decade (16).

Of the approximately 2,500 serotypes of Salmonella, only a small number of serotypes accounts for 99% of human and animal clinical cases. Common serotypes associated to human salmonellosis change over time, vary by geographical distribution and its ability to affect hosts (17). Currently, the most common serotypes implicated in human disease include S. typhimurium and S. enteritidis worldwide (18).

NTS are part of the commensal flora of the intestinal tract of cold-blooded animals such reptiles, turtles and amphibians (19) as well as some birds (20). These animals may infect domesticated animals when there are no rigorous biosecurity measures.

The Caribbean Public Health Agency (CARPHA), the major public health agency within the Caribbean comprised of 26 Caribbean nations, reported an average of 564 annual clinical cases of NTS infections during the years 2005–2012, but there has been a downward trend since 2010 (21). Between the years 2005–2012, a total of 146 different Salmonella serotypes were identified as causes of infections, with half of the infections attributed to S. enteritidis and S. typhimurium (21, 22).

NTS have been shown to be present in Caribbean wildlife including iguanas (23, 24), mongooses (25, 26), cane toads (27), crabs (28), sea turtles (2931), snakes (32), albeit at low prevalence. Serotypes present varied between cold-blooded and warm-blooded animals. In farmed animals, the focus was mainly on poultry, and showed a prevalence rate range between 6.5–26.7% (33) and the prevalence in pigs in Surinam was 9% (34). Majority of poultry studies are reported from Trinidad and Tobago (3540). In the Cayman Islands 10 different serotypes were found in native iguana and S. enterica serotype Saintpaul was the most frequently isolated serotype (23). In the Caribbean, biosecurity is not optimal as most animal houses are open houses allowing the entry of some of wildlife. Given that the majority of human infections often stem from poultry and eggs, the primary objective of this study was to assess the potential public health risk associated with salmonellosis in humans in the Cayman Islands, due to poultry.

Since most chickens in the Cayman Islands originate from imported embryonated eggs, we investigated whether Salmonella could be introduced in the local poultry by import. In addition, we looked whether feral chickens could be a source of salmonellosis for farmed poultry.

2 Methodology

2.1 Sampling

Between the years 2017 and 2018, sampling was conducted on a monthly basis totaling a minimum of four boot swabs, four pooled samples of 10 feral chickens per month and batches of imported day-old chicks as received. The samples originated from the five districts in Grand Cayman: West Bay, George Town, Bodden Town, East End and North Side (Figure 1), 3 samples (2 layer and 1 broiler farm) were taken from Cayman Brac and a single sample from Little Cayman (Figure 2).

Figure 1
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Figure 1. Number of samples of each sample type from the five districts of Grand Cayman.

Figure 2
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Figure 2. Number of samples of each sample type from Cayman Brac and Little Cayman.

For each monthly sampling event, a minimum of two pairs of boot swabs were sampled at each farm (broiler or layer), with a maximum of four boot swabs per farm depending on its size. Feral chickens of each district were captured, humanely euthanized and cecum contents were pooled from 10 feral chickens representing one sample. Lastly, paper bedding material from each chick-box of day-old chicks was sampled prior to distribution to farmers.

31 boot swab samples were taken in according to the Commission Regulation (EU) No. 517/2011 (41), from both broiler and layer farms. Since the population size of feral chickens in the Cayman Islands is undetermined, we collected 49 pooled cecum samples, each representing 10 feral chickens. 45 paper bedding samples composed from 6 different shipments in 2018 were taken from the boxes in which the day-old chickens were imported.

Salmonella was isolated using ISO Standard 6,579 annex D (42). Briefly, a 1/10 (W/V) suspension of 25 g paper bedding, cecum content, or boot swabs were mixed with 225 mL Buffered Peptone Water (BD Life Sciences, Fanklin Lake, NJ, United States). After stomaching, they were aseptically incubated at 37 ± 1°C for 18 ± 2 h, then 0.1 mL was added to 10 mL Rappaport Vassiladis R10 (RV) broth (BD Life Sciences, Fanklin Lake, NJ, United States) and incubated at 41.5°C for 24 ± 4 h. One ml of resuscitation broth was added to 10 mL Tetrathionate broth (TB) base (Fisher Scientific, Waltham, MA, United States) and incubated at 37°C for 24 ± 4 h. Thereafter, 10 μL of enrichment broth was streaked on Xylose Lysine Deoxycholate (Fisher Scientific™, Waltham, MA, United States) and Brilliant Green Agar (Fisher Scientific™, Waltham, MA, USA) and incubated at 37 ± 1°C for 24 ± 4 h. Presumptive Salmonella colonies were inoculated on Blood Agar (Fisher Scientific™, Waltham, MA, United States) at 35 ± 2°C for 18 to 72 h. Suspected colonies were identified using API 20E test strips (bioMérieux, Marcy l’Étoile, France), which were incubated at 36 ± 2°C for 18–24 h and the Salmonella Express Plate (3M™ Petrifilm™, Maplewood, Minnesota, United States), incubated at 41.5°C for 24 ± 4 h. Lastly, Salmonella agglutination tests were conducted to determine serogroup using the Wellcolex Color Salmonella Rapid Latex Agglutination Test Kit (Thermo Fisher Scientific, Waltham, MA, USA). Serogrouped strains were selected for WGS.

2.2 Whole genome sequencing and sequence analysis

Purified strains were sent to Macrogen (Seoul, South Korea) for DNA extraction and sequencing on an Illumina platform using a TruSeq Babi DNA kit, 151 bp long paired end sequencing. Sequences were submitted to NCBI under bio-project PRJNA765319 with accession numbers: SAMN21553720 and SAMN22875821 - SAMN22875840. Quality control has been performed on the raw data using Phred and on the assembled data using Quast.

Illumina sequences were trimmed and assembled using SKESA (43) and annotated with PROKKA (44). Salmonella serotypes were identified using Seroseq (45) and SISTR (46). The Multi-Locus Sequence Typing (MLST) profile was determined using ‘mlst 2.0’ (47). Phylogeny was determined with strains from around the world using The Phylogenetic Tree Building Service on the PATRIC server (currently Bacterial and Viral Bioinformatics Resource Center) (48) last accessed November 10th, 2022 and base differences between strains were quantified by CSIPhylogeny (49). The accessory genome was analysed using Resfinder (50) to identify antimicrobial resistance genes and associated antibiotic resistance of the strains. Multi-drug resistance (MDR) was defined as strains showing resistance to three or more different classes of antimicrobials (51). Plasmids were identified with PlasmidFinder 4.0 (52). PHASTER (53, 54) was used to identify prophage proteins present in bacterial sequences. Virulence genes were determined by Virulence Factor Database (VFDB), (55) and SPIFinder (56).

2.3 Statistical analysis

Confidence intervals to measure the prevalence of Salmonella in poultry, in the Cayman Islands were calculated using exact binomials in an Excel file. Differences between groups were determined using the chi square test.

3 Results

3.1 Prevalence of salmonella in poultry in the Cayman Islands

Out of 156 samples, 18 were found to be positive for Salmonella, resulting in an overall prevalence rate of 11.5% (confidence interval 11.2–11.8%) (Table 1). Each positive originating from a farm source, broilers or layers, were isolated from separate farms, resulting in four positives from four individual farms. With four farms positive for Salmonella of the 27 total farms sampled, the prevalence rate is 14.8% (confidence interval 13.8–15.8%). Six of the 49 pooled cecal samples of feral chickens were positive and eight of the 45 paper bedding samples of imported day-old chicks were positive. Broiler farms showed the lowest prevalence of 3.2% (confidence interval 3.1–3.3%) whereas imported day-old chicks showed the highest prevalence of 17.8% (confidence interval 16.8–18.8%).

Table 1
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Table 1. Number of samples collected, number positive for Salmonella and corresponding prevalence with confidence intervals.

3.2 Serotyping and MLST

We identified seven different Salmonella serovars, with S. Kentucky being the most frequently isolated. Salmonella found in paper bedding/transport material from day-old chicks was exclusively S. Kentucky (Figure 3). Additionally, a S. Kentucky strain was isolated from a layer farm but none was found in feral poultry, where S. Saintpaul was the predominant serotype (Figure 4). Of the 9 S. Kentucky strains, eight were sequence type ST152 and one strain was ST2132, which is one allele (purE) different from ST152. S. Saintpaul strains (n = 4) were all sequence type ST50. The remaining strains (n = 5) were different Salmonella serotypes (Table 2).

Figure 3
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Figure 3. Distribution of Salmonella serotypes isolated from imported, farmed, and feral poultry, represented by sample origin.

Figure 4
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Figure 4. Phylogenetic tree analysis of Cayman Islands ST152 (dark blue) and ST2132 (light blue) strains and other worldwide ST152 strains (black) of S. Kentucky.

Table 2
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Table 2. Characteristics and sample type from which the Salmonella strains were isolated.

3.3 Phylogenetic analysis

The single nucleotide polymorphism (SNP) analysis of the S. Kentucky strains, taken from imported day-old chicks and the layer farm, showed a variation ranging between 0 and 112 SNPs. When compared to ST152 S. Kentucky strains from around the world, the strains clustered closely with strains from North America (Figure 4). The S. Saintpaul strains showed less variation with 16–22 SNP differences, however, they formed a separate cluster from other ST50 strains from around the world (Figure 5).

Figure 5
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Figure 5. Phylogenetic tree analysis of Cayman Islands ST50 strains (blue), and other worldwide ST50 strains (black) of S. Saintpaul.

3.4 Antimicrobial resistance genes

All 18 strains contained at least the aac(6′)-Iaa gene known to be present in the core genome of all Salmonella strains, giving resistance to amikacin and tobramycin (Table 3). Seven strains did not contain any other resistance genes. Only the serotypes S. Kentucky and S. Senftenberg contained more than one aminoglycoside resistance gene. Eleven strains showed additional resistance genes apart from those for aminoglycosides. All but one of these 11 strains were resistant to tetracyclines, mediated by the tet(B) gene and in one by the tet(A) gene. One strain was found to carry the sul1 gene, encoding resistance to sulfonamide antibiotics, another was found to have chloramphenicol resistance gene, catA3 and another strain to have fosfomycin resistance via fosA7_1 gene. Lastly, two genes encoding resistance to β-lactam antibiotics were present: blaTEM-1B in the single S. Senftenberg and blaCMY-2 in 4 S. Kentucky strains from one-day old chicks. Four S. Kentucky strains and one S. Senftenberg strain were multi-drug resistant.

Table 3
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Table 3. AMR genes and plasmid replicons detected in the Salmonella strains.

3.5 Plasmids

Ten out of eighteen Salmonella strains contained at least one plasmid replicon (Table 3). A total of 6 different plasmids replicon sequences were found. Two colicin plasmids, ColpVC and Col156 and four different Inc. plasmids [IncFIB (AP001918), IncFII, IncX1 and Incl1-l (Alpha)] (Table 3). All eight Kentucky strains contained three Inc. plasmids (IncFIB, IncFII, and IncX1), three strains contained an additional plasmid (ColpVc) and three separate strains contained an additional Inc. plasmid (IncI1-I). The Col156 plasmid was present in the S. Senftenberg strain.

3.6 Prophages

All strains contained prophages, however many of those were incomplete prophages. In six strains we could not detect any intact prophage region. The remaining 12 strains had at least one complete prophage. Three had an additional prophage region (Table 4). Three of the 4 S. Kentucky strains contain the Escher_Lys12581Vzw prophage. The other S. Kentucky strain contains the prophage Escher_ArgO145. All the S. Saintpaul strains and the Javiana strain had the Gifsy-2 prophage. The S. Agona and S. Senftenberg strain contained the Salmon_SEN8 prophage.

Table 4
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Table 4. Number of prophage regions and complete prophages detected in the Salmonella strains.

3.7 Virulence gene content

All strains contained the highly conserved Salmonella Pathogencity Islands (SPI’s) 1–3, with the exception of subspecies houtenae strain, which contained only SP1 (Table 5). The subspecies houtenae strain was the only strain to contain virulence genes SpiC and SpvB (Tables 6, 7). All strains with the exception of the 4 S. Saintpaul strains, contained Pathogenicity Island C63PI, an iron uptake system. All strains also contained the magnesium uptake system. Fimbrial adhesion genes varied slightly among serotypes. Only the S. Javiana strain contained six adhesion genes, whereas subspecies houtenae strain contained only two of those adhesion genes.

Table 5
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Table 5. Salmonella Pathogenicity Islands (SPI’s) present among the Salmonella serotypes isolated.

Table 6
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Table 6. Virulence genes associated with host invasion and intercellular survival via Salmonella type three secretion systems (T3SS’s), among the Salmonella serotypes.

Table 7
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Table 7. Non-T3SS’s encoded virulence genes among the Salmonella serotypes.

4 Discussion

This study is the first in the Cayman Islands, and only the second one in the Caribbean, to utilize Whole Genome Sequencing to determine the epidemiology of Salmonella from poultry sources (57). We could isolate Salmonella from broilers, layers, imported 1 day old chicks and feral chickens. While the prevalence differed between sample types, overall these differences in confidence intervals were statically insignificant when computed with chi square test. The different serotypes identified in each sample type were isolated with the exception of S. Kentucky present in two sample types and the largest diversity in serotypes was seen in samples from layer farms. Samples from bedding/transport material contained only S. Kentucky. In free roaming chickens, the dominant serotype was S. Saintpaul. This indicates that there is little exchange of strains between the sampled groups. S. Kentucky is commonly associated with poultry in North America (11, 18) and the ST152 is dominant sequence type (58, 59). S. Saintpaul strains were all ST50, an uncommon strain found in poultry, although it is frequently associated with outbreaks of foodborne infections in the United States (6062). Our strains however formed a separate group of strains within the ST50, indicating a different epidemiology.

Interestingly, we identified a single S. houtenae strain among our feral poultry. This subspecies is commonly associated with cold-blooded animals, but it has also been found in few other animal species (63) and humans (64). It is likely that the strain originated from cold blooded animals, which are common on the Cayman Islands. This is further substantiated by the fact that the other serotypes identified in feral chickens had previously been discovered in the endemic blue iguanas of Grand Cayman (23). Feral chickens thus likely share their Salmonella with cold blooded animals on the Cayman Islands.

The most frequently identified serotypes from human salmonellosis in the Caribbean were S. typhimurium and S. Enteriditis, similar to other parts of the world (65). However, in our samples, we did not detect these serotypes, indicating a low risk of Cayman reared poultry for human health. The isolated S. Kentucky strains were clonally related to the North American strains, which is not surprising as U.S hatcheries replenish poultry flocks in the Cayman Islands, under the Cayman Islands Department of Agriculture’s (DOA) permission and regulation. This practice is not unique to the Cayman Islands, as it has been reported that approximately 91% of 27 Caribbean nations, import egg or egg products from a foreign source (66) and recent findings from Trinidad and Tobago also conclude close clustering of S. Kentucky strains to strains from a U.S hatchery (67).

All strains had at least the aac(6′)-Iaa gene, which is endogenous to the Salmonella genus (68). Five strains were MDR. Of those five strains, four were S. Kentucky strains and one from the single S. Senftenberg strain. These strains contained at least one resistance gene against aminoglycosides, tetracyclines and beta-lactams. The S. Senftenberg strain contained an additional resistance gene to sulfonamides. These findings are common in Salmonella (6971). The predominance of MDR was mainly observed in the day-old chicks imported from North America, a region where MDR is commonly identified in S. Kentucky strains (11, 72). More concerning is that in those strains, beta-lactam resistance was mediated by the blaCMY-2, a plasmid mediated AmpC beta-lactamase which is of clinical importance as they infer resistance to third-generation cephalosporins (73). Plasmids on which this gene has been found are IncA/C and IncI1 plasmids (74). Although we could not locate the gene on a plasmid in our sequences, we suppose it was present on the IncI1 plasmid in our strains, as this plasmid was specifically present in all strains carrying blaCMY-2.

Striking is also that Salmonella from feral chickens had no other AMR other than the aac(6′)-Iaa gene, which is present in all Salmonella (68), indicating there is no selection for resistance in this population, nor transfer of resistance from other sources. Fosfomycin resistance is rare and was first identified in Canada in S. Heidelberg from broilers (75) and is limited to a few other serotypes: S. Agona, S. Montevideo and S. Tennes(see 75). This aligns with our findings, as the fosA7 gene was only present in the single S. Agona strain. The fosA7 gene has been identified outside of Canada, namely the United States (76), China (77), Nigeria (78) and Brazil (79). However, this is the first known reporting of Fosfomycin resistance in Salmonella from Caribbean poultry.

Apart from a single S. Senftenberg strain, plasmid replicons were only present in the S. Kentucky. The plasmids identified in our S. Kentucky strains are commonly found in North America and in general carry AMR genes (59, 72, 80, 81), which represents a risk for introducing plasmid carrying resistance genes. This indicates that few plasmids are present in Salmonella from feral chickens on the Cayman Islands. This explains also the lack of acquired resistance in these strains as many resistance genes are located on plasmids.

We found that our distribution of serotypes mostly differed from other parts of the world such as China (82, 83), but had similar AMR and virulence genes, particularly with our single S. Senftenberg strain (82) and our dominant serotype S. Kentucky strains (82, 83). Both serotypes exhibited MDR and AMR genes to beta-lactam antibiotics similarly to ours, but differed in the origin of those AMR genes; with the absence of harboring plasmid replicons in poultry found in China.

However, in these comparisons with our S. Kentucky ST152 strains isolated from the Cayman Islands, they differ in their sequence type to the S. Kentucky ST198 strains isolated from China. While they may be phenotypically similar in identified AMR and virulence genes, these two sequence types been demonstrated to form genetically distinct lineages (59, 84); ST198 is an international strain and ST152 is one primarily found in North America (84).

The majority of the strains contained at least one intact/functional prophage. Most of the prophage sequences were however not complete. This might be due to the sequencing and assembly. Typically, S. enterica subspecies enterica serovars contain on average 5 ± 3 prophage regions per genome (85). Gifsy-2 is a common prophage among Salmonella serotypes (85) and was represented in all the S. Saintpaul and S. Javiana strains. Gifsy prophages have been identified to encode virulence gene SopE (86), which allows bacterial entry into epithelial cells (87) thus making them more virulent. This virulence gene was present in 3 of the 4 S. Saintpaul strains. The other phages, apart from Phage Sen8, found in S. Senftenberg, do not contain any known Salmonella virulence genes (88).Virulence genes, Mig-5 and rck, have been reported to be typically encoded on IncF plasmids; particularly IncFII (present in our S. Kentucky strains), but these genes were absent in our strains. Other major plasmid-encoded virulence genes also identified in IncFII plasmids such as: spv operon (spvABCDR) and pef operon (pefABCD) (80, 81), were absent in our strains. Only virulence gene, pefB, was present in four of the S. Kentucky strains.

All strains contained SPIs although they were composed differently. The SPIs and other virulence genes identified do not contribute greatly to the virulence of the strains in relation to infecting humans, as none of the strains are major pathogens for humans.

Due to the low incidence of human salmonellosis on the Cayman Islands, we are limited in assessing the public health risk of our findings. Only 24 cases were reported during 2010–2020. The two most frequently reported NTS serotypes from humans in the Cayman Islands were S. Saintpaul (14 cases) and S. Poona (5 cases) according to the Health Services Authority1. These serotypes were also present in the feral chickens, indicating that these may be a source of human infection together with iguanas. S. Saintpaul ST50 has been identified more commonly in clinical infections in humans. There were 2,616 S. Saintpaul ST50 strains in Enterobase (89) (accessed June 25th, 2023), 1,008 from human infections, whereas 176 strains were found in poultry, indicating a potential risk of those strains for human health.

The S. Kentucky found in our study is also reported in the United States, although infections with this serotype and the specific ST152 strains are rather rare (90). Probably this serotype does not pose a large public health burden. However, the AMR found in these strains is rather worrisome and are we limited in determining if these AMR genes and plasmids are actively transferred to the local poultry. This could be remedied with a longitudinal study of the life cycle of imported day-old chicks to adulthood, to determine if AMR dissemination occurs. Additionally, we could identify if the serotypes present in the local poultry may also be imported. This research showcases the need for strengthening local policies in food safety and collaborative efforts with all necessary stakeholders to prevent potential foodborne pathogens entering the food supply chain and the burden of illness to public health as envisioned by the One Health concept.

5 Conclusion

In conclusion, our study demonstrates that Salmonella in broilers and layers on the Cayman Islands are often introduced via the importation of day-old chicks, although other strains also contribute to the prevalence. The presence of Salmonella in feral chickens poses a potential risk, given that their serotypes are the ones most commonly isolated from humans in the Cayman Islands. However, due to the strains’ low virulence and the absence of antimicrobial resistance (AMR) and plasmids, the overall health risk may be relatively small. Resistance against antibiotics including blaCMY-2 gene, is of public health concern. This may warrant stricter import control measures via One Health ideology and also highlights the importance of Salmonella surveillance of imported 1 day old chicks and farmed poultry.

Data availability statement

The original contributions presented in the study are publicly available. This data can be found at: https://www.ncbi.nlm.nih.gov/bioproject/; PRJNA765319.

Ethics statement

Ethical approval was not required for the study involving animals in accordance with the local legislation and institutional requirements because the study involved fecal droppings from commercial animals and the samples from feral chickens were obtained from culled animals. These animals were culled by the Cayman Island Government instances (Ministry of Health) and we had no other relation to that apart from sampling from the already culled animals.

Author contributions

SW: Investigation, Writing – original draft. FT: Supervision, Writing – review & editing. HL: Supervision, Writing – review & editing. AJ: Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing. PB: Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Research was funded by the Cayman Islands Government “Determination of the public health risk of Salmonella in free roaming chickens in the Cayman Islands” (Grant ID 2017/0001).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

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Footnotes

References

1. Ao, TT , Feasey, NA , Gordon, MA , Keddy, KH , Angulo, FJ , and Crump, JA . Global burden of invasive nontyphoidal Salmonella disease, 2010(1). Emerg Infect Dis. (2015) 21:941–9. doi: 10.3201/eid2106.140999

PubMed Abstract | Crossref Full Text | Google Scholar

2. Hoffman, S , Maculloch, B , and Batz, M . Economic burden of major foodborne illnesses acquired in the United States. United States Department of Agriculture: Economic Research Service ; (2015). Available at: https://www.ers.usda.gov/ (Accessed December 4, 2023).

Google Scholar

3. Delahoy, MJ , Shah, HJ , Weller, DL , Ray, LC , Smith, K , McGuire, S, et al. Preliminary incidence and trends of infections caused by pathogens transmitted commonly through food — foodborne diseases active surveillance network, 10 U.S. sites, 2022. MMWR Morb Mortal Wkly Rep. (2023) 72:701–6. doi: 10.15585/mmwr.mm7226a1

Crossref Full Text | Google Scholar

4. Marus, JR , Magee, MJ , Manikonda, K , and Nichols, MC . Outbreaks of Salmonella enterica infections linked to animal contact: demographic and outbreak characteristics and comparison to foodborne outbreaks—United States, 2009–2014. Zoonoses Pub Health. (2019) 66:370–6. doi: 10.1111/zph.12569

PubMed Abstract | Crossref Full Text | Google Scholar

5. Hadler, JL , Clogher, P , Libby, T , Wilson, E , Oosmanally, N , Ryan, P, et al. Relationship between census tract-level poverty and domestically acquired Salmonella incidence: analysis of foodborne diseases active surveillance network data, 2010-2016. J Infect Dis. (2020) 222:1405–12. doi: 10.1093/infdis/jiz605

PubMed Abstract | Crossref Full Text | Google Scholar

6. Mackenzie, JS , and Jeggo, M . The one health approach—why is it so important? TropicalMed. (2019) 4:88. doi: 10.3390/tropicalmed4020088

Crossref Full Text | Google Scholar

7. One Health High-Level Expert Panel (OHHLEP)Adisasmito, WB , Almuhairi, S , Behravesh, CB , Bilivogui, P , Bukachi, SA, et al. One health: a new definition for a sustainable and healthy future. PLoS Pathog. (2022) 18:e1010537. doi: 10.1371/journal.ppat.1010537,

Crossref Full Text | Google Scholar

8. McEwen, SA , and Collignon, PJ . Antimicrobial resistance: a one health perspective. Microbiol Spectr. (2018) 6:ARBA-0009-2017. doi: 10.1128/microbiolspec.ARBA-0009-2017

Crossref Full Text | Google Scholar

9. Aslam, B , Khurshid, M , Arshad, MI , Muzammil, S , Rasool, M , Yasmeen, N, et al. Antibiotic resistance: one health one world outlook. Front Cell Infect Microbiol. (2021) 11:771510. doi: 10.3389/fcimb.2021.771510/full

Crossref Full Text | Google Scholar

10. Cao, G , Zhao, S , Kuang, D , Hsu, CH , Yin, L , Luo, Y, et al. Geography shapes the genomics and antimicrobial resistance of Salmonella enterica Serovar Enteritidis isolated from humans. Sci Rep. (2023) 13, 13:1331. doi: 10.1038/s41598-022-24150-4

Crossref Full Text | Google Scholar

11. McDermott, PF , Zhao, S , and Tate, H . Antimicrobial Resistance in Nontyphoidal Salmonella. FM Aarestrup, S Schwarz, J Shen, and L Cavaco Microbiol Spectr. (2018). 6:ARBA-0014-2017. doi: 10.1128/microbiolspec.ARBA-0014-2017

Crossref Full Text | Google Scholar

12. National Antimicrobial Resistance Monitoring System for Enteric Bacteria (NARMS): 2019 Annual Human Isolates Report. Centers for Disease Control and Prevention (U.S.); Available at: https://www.fda.gov/animal-veterinary/national-antimicrobial-resistance-monitoring-system/2019-narms-update-integrated-report-summary-interactive-version (Accessed April 28, 2023).

Google Scholar

13. CDC. NARMS 2014 Human Isolates Surveillance Report [Internet]. Atlanta, Georgia: U.S Department of Health and Human Services. pp. 83. Available from: https://www.cdc.gov/narms/pdf/2014-Annual-Report-narms-508c.pdf (Accessed April 28, 2023).

Google Scholar

14. CDC. NARMS 2015 Human Isolates Surveillance Report [Internet]. Atlanta, Georgia: U.S Department of Health and Human Services. pp. 84. Available from: https://www.cdc.gov/narms/pdf/2015-NARMS-Annual-Report-cleared_508.pdf (Accessed April 28, 2023).

Google Scholar

15. Centers for Disease Control and Prevention (U.S.). Antibiotic resistance threats in the United States, 2019. Centers for Disease Control and Prevention (U.S.); (2019). Available at: https://stacks.cdc.gov/view/cdc/82532 (Accessed September 25, 2023).

Google Scholar

16. U.S Food & Drug Administration (FDA). NARMS Now: Integrated Data [Internet]. Rockville, MD: U.S. Department of Health and Human Services. Available from: https://www.fda.gov/animal-veterinary/national-antimicrobial-resistance-monitoring-system/narms-now-integrated-data (Accessed April 28, 2023).

Google Scholar

17. Judd, MC , Hoekstra, RM , Mahon, BE , Fields, PI , and Wong, KK . Epidemiologic patterns of human Salmonella serotype diversity in the USA, 1996–2016. Epidemiol Infect. (2019) 147:e187. doi: 10.1017/S0950268819000724

PubMed Abstract | Crossref Full Text | Google Scholar

18. Ferrari, RG , Rosario, DKA , Cunha-Neto, A , Mano, SB , Figueiredo, EES , and Conte-Junior, CA . Worldwide epidemiology of Salmonella Serovars in animal-based foods: a Meta-analysis. Appl Environ Microbiol. (2019) 85:e00591–19. doi: 10.1128/AEM.00591-19

Crossref Full Text | Google Scholar

19. Lamas, A , Miranda, JM , Regal, P , Vázquez, B , Franco, CM , and Cepeda, A . A comprehensive review of non-enterica subspecies of Salmonella enterica. Microbiol Res. (2018) 206:60–73. doi: 10.1016/j.micres.2017.09.010

PubMed Abstract | Crossref Full Text | Google Scholar

20. Card, RM , Chisnall, T , Begum, R , Sarker, MS , Hossain, MS , Sagor, MS, et al. Multidrug-resistant non-typhoidal Salmonella of public health significance recovered from migratory birds in Bangladesh. Front Microbiol. (2023) 14:1162657. doi: 10.3389/fmicb.2023.1162657

PubMed Abstract | Crossref Full Text | Google Scholar

21. State of Public Health in the Caribbean Region 2014-2016 . Building resilience to immediate and increasing threats: Vector-borne diseases and childhood obesity. Caribbean Public Health Agency ; Available at: https://carpha.org/Portals/0/Publications/State-of-Public-Health-in-the-Caribbean-2014-2016.pdf (Accessed April 28, 2023).

Google Scholar

22. Guerra, MMM , de Almeida, AM , and Willingham, AL . An overview of food safety and bacterial foodborne zoonoses in food production animals in the Caribbean region. Trop Anim Health Prod. (2016) 48:1095–108. doi: 10.1007/s11250-016-1082-x

Crossref Full Text | Google Scholar

23. Prud’homme, Y , Burton, FJ , McClave, C , and Calle, PP . Prevalence, incidence, and identification of Salmonella enterica from wild and captive grand Cayman iguanas (Cyclura lewisi). J Zoo Wildl Med. (2018) 49:959–66. doi: 10.1638/2017-0234.1

PubMed Abstract | Crossref Full Text | Google Scholar

24. Sylvester, WRB , Amadi, V , Pinckney, R , Macpherson, CNL , McKibben, JS , Bruhl-Day, R, et al. Prevalence, Serovars and antimicrobial susceptibility of Salmonella spp. from wild and domestic green iguanas (Iguana iguana) in Grenada, West Indies. Zoonoses Public Health. (2014) 61:436–41. doi: 10.1111/zph.12093

PubMed Abstract | Crossref Full Text | Google Scholar

25. Rhynd, KJR , Leighton, PA , Elcock, DA , Whitehall, PJ , Rycroft, A , and Macgregor, SK . Prevalence of Salmonella spp. and thermophilic Campylobacter spp. in the small Asian mongoose (Herpestes javanicus) in Barbados, West Indies. J Zoo Wildl Med. (2014) 45:911–4. doi: 10.1638/2012-0250.1

PubMed Abstract | Crossref Full Text | Google Scholar

26. Miller, S , Amadi, V , Stone, D , Johnson, R , Hariharan, H , and Zieger, U . Prevalence and antimicrobial susceptibility of Salmonella spp. in small Indian mongooses (Herpestes auropunctatus) in Grenada, West Indies. Comp Immunol Microbiol Infect Dis. (2014) 37:205–10. doi: 10.1016/j.cimid.2014.05.003

Crossref Full Text | Google Scholar

27. Drake, M , Amadi, V , Zieger, U , Johnson, R , and Hariharan, H . Prevalence of Salmonella spp. in cane toads (Bufo marinus) from Grenada, West Indies, and their antimicrobial susceptibility. Zoonoses Public Health. (2013) 60:437–41. doi: 10.1111/zph.12018

PubMed Abstract | Crossref Full Text | Google Scholar

28. Peterson, R , Hariharan, H , Matthew, V , Chappell, S , Davies, R , Parker, R, et al. Prevalence, serovars, and antimicrobial susceptibility of Salmonella isolated from blue land crabs (Cardisoma guanhumi) in Grenada. West Indies J Food Prot. (2013) 76:1270–3. doi: 10.4315/0362-028X.JFP-12-515

PubMed Abstract | Crossref Full Text | Google Scholar

29. Ives, AK , Antaki, E , Stewart, K , Francis, S , Jay-Russell, MT , Sithole, F, et al. Detection of Salmonella enterica Serovar Montevideo and Newport in Free-Ranging Sea turtles and beach sand in the Caribbean and persistence in sand and seawater microcosms. Zoonoses Public Health. (2017) 64:450–9. doi: 10.1111/zph.12324

PubMed Abstract | Crossref Full Text | Google Scholar

30. Dutton, CS , Revan, F , Wang, C , Xu, C , Norton, TM , Stewart, KM, et al. Salmonella enterica prevalence in leatherback sea turtles (Dermochelys coriacea) in St. Kitts, West Indies. J Zoo Wildl Med. (2013) 44:765–8. doi: 10.1638/2012-0216R1.1

Crossref Full Text | Google Scholar

31. Edwards, JJ , Amadi, VA , Soto, E , Jay-Russel, MT , Aminabadi, P , Kenelty, K, et al. Prevalence and phenotypic characterization of Salmonella enterica isolates from three species of wild marine turtles in Grenada. West Indies Vet World. (2021) 14:222–9. doi: 10.14202/vetworld.2021.222-229

PubMed Abstract | Crossref Full Text | Google Scholar

32. Rush, EM , Amadi, VA , Johnson, R , Lonce, N , and Hariharan, H . Salmonella serovars associated with Grenadian tree boa (Corallus grenadensis) and their antimicrobial susceptibility. Vet Med Sci. (2020) 6:565–9. doi: 10.1002/vms3.234

PubMed Abstract | Crossref Full Text | Google Scholar

33. Adesiyun, A , Webb, L , Musai, L , Louison, B , Joseph, G , Stewart-Johnson, A, et al. Survey of Salmonella contamination in chicken layer farms in three Caribbean countries. J Food Prot. (2014) 77:1471–80. doi: 10.4315/0362-028X.JFP-14-021

Crossref Full Text | Google Scholar

34. Butaye, P , Halliday-Simmonds, I , and Van Sauers, A . Salmonella in pig farms and on pig meat in Suriname. Antibiotics. (2021) 10:1495. doi: 10.3390/antibiotics10121495

Crossref Full Text | Google Scholar

35. Bolfa, P , Callanan, JJ , Ketzis, J , Marchi, S , Cheng, T , Huynh, H, et al. Infections and pathology of free-roaming backyard chickens on St. Kitts, West Indies. J VET Diagn Invest. (2019) 31:343–9. Available at:. doi: 10.1177/1040638719843638

PubMed Abstract | Crossref Full Text | Google Scholar

36. Khan, AS , Georges, K , Rahaman, S , Abdela, W , and Adesiyun, AA . Prevalence and serotypes of Salmonella spp. on chickens sold at retail outlets in Trinidad. PLoS One. (2018) 13:e0202108. doi: 10.1371/journal.pone.0202108

Crossref Full Text | Google Scholar

37. Kumar, N , Mohan, K , Georges, K , Dziva, F , and Adesiyun, AA . Prevalence, Serovars, and antimicrobial resistance of Salmonella in Cecal samples of chickens slaughtered in pluck shops in Trinidad. J Food Prot. (2019) 82:1560–7. doi: 10.4315/0362-028X.JFP-18-553

PubMed Abstract | Crossref Full Text | Google Scholar

38. Kumar, N , Mohan, K , Georges, K , Dziva, F , and Adesiyun, AA . Occurrence of virulence and resistance genes in Salmonella in cloacae of slaughtered chickens and ducks at pluck shops in Trinidad. J Food Prot. (2021) 84:39–46. doi: 10.4315/JFP-20-203

PubMed Abstract | Crossref Full Text | Google Scholar

39. Khan, AS , Georges, K , Rahaman, S , Abebe, W , and Adesiyun, AA . Characterization of Salmonella isolates recovered from stages of the processing lines at four broiler processing plants in Trinidad and Tobago. Microorganisms. (2021) 9:1048. doi: 10.3390/microorganisms9051048

Crossref Full Text | Google Scholar

40. Khan, AS , Georges, K , Rahaman, S , Abebe, W , and Adesiyun, AA . Occurrence, risk factors, serotypes, and antimicrobial resistance of Salmonella strains isolated from imported fertile hatching eggs, hatcheries, and broiler farms in Trinidad and Tobago. J Food Prot. 85:266–77. doi: 10.4315/JFP-21-236

PubMed Abstract | Crossref Full Text | Google Scholar

41. EUR-Lex: EU law Commission Regulation (EU). No 517/2011 of 25 May 2011 implementing Regulation (EC) No 2160/2003 of the European Parliament and of the Council as regards a Union target for the reduction of the prevalence of certain Salmonella serotypes in laying hens of Gallus gallus and amending Regulation (EC) No 2160/2003 and Commission Regulation (EU) No 200/2010. No 517/2011 May 25, 2011. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32011R0517

Google Scholar

42. EN ISO 6579-1:2017- Microbiology of the food chain — Horizontal method for the detection, enumeration and serotyping of Salmonella — Part 1: Detection of Salmonella spp. [Internet]. International Organization for Standardizaiton. (2017). Available from: https://www.iso.org/home.html (Accessed April 28, 2023).

Google Scholar

43. Souvorov, A , Agarwala, R , and Lipman, DJ . SKESA: strategic k-mer extension for scrupulous assemblies. Genome Biol. (2018) 19:153. doi: 10.1186/s13059-018-1540-z

Crossref Full Text | Google Scholar

44. Seemann, T . Prokka: rapid prokaryotic genome annotation. Bioinformatics. (2014) 30:2068–9. doi: 10.1093/bioinformatics/btu153

PubMed Abstract | Crossref Full Text | Google Scholar

45. Zhang, S , Yin, Y , Jones, MB , Zhang, Z , Deatherage Kaiser, BL , Dinsmore, BA, et al. Salmonella serotype determination utilizing high-throughput genome sequencing data. J Clin Microbiol. (2015) 53:1685–92. doi: 10.1128/JCM.00323-15

PubMed Abstract | Crossref Full Text | Google Scholar

46. Yoshida, CE , Kruczkiewicz, P , Laing, CR , Lingohr, EJ , Gannon, VPJ , Nash, JHE, et al. The Salmonella in silico typing resource (SISTR): an open web-accessible tool for rapidly typing and subtyping draft Salmonella genome assemblies. PLoS One. (2016) 11:e0147101. doi: 10.1371/journal.pone.0147101

PubMed Abstract | Crossref Full Text | Google Scholar

47. Maiden, MCJ , Jansen van Rensburg, MJ , Bray, JE , Earle, SG , Ford, SA , Jolley, KA, et al. MLST revisited: the gene-by-gene approach to bacterial genomics. Nat Rev Microbiol. (2013) 11:728–36. doi: 10.1038/nrmicro3093

PubMed Abstract | Crossref Full Text | Google Scholar

48. Davis, JJ , Wattam, AR , Aziz, RK , Brettin, T , Butler, R , Butler, RM, et al. The PATRIC bioinformatics resource center: expanding data and analysis capabilities. Nucleic Acids Res. (2020) 48:D606–12. doi: 10.1093/nar/gkz943

PubMed Abstract | Crossref Full Text | Google Scholar

49. Ahrenfeldt, J , Skaarup, C , Hasman, H , Pedersen, AG , Aarestrup, FM , and Lund, O . Bacterial whole genome-based phylogeny: construction of a new benchmarking dataset and assessment of some existing methods. BMC Genomics. (2017) 18:19. doi: 10.1186/s12864-016-3407-6

PubMed Abstract | Crossref Full Text | Google Scholar

50. Bortolaia, V , Kaas, RS , Ruppe, E , Roberts, MC , Schwarz, S , Cattoir, V, et al. ResFinder 4.0 for predictions of phenotypes from genotypes. J Antimicrob Chemother. (2020) 75:3491–500. doi: 10.1093/jac/dkaa345

PubMed Abstract | Crossref Full Text | Google Scholar

51. Magiorakos, AP , Srinivasan, A , Carey, RB , Carmeli, Y , Falagas, ME , Giske, CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. (2012) 18:268–81. doi: 10.1111/j.1469-0691.2011.03570.x

PubMed Abstract | Crossref Full Text | Google Scholar

52. Carattoli, A , Zankari, E , García-Fernández, A , Voldby Larsen, M , Lund, O , Villa, L, et al. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother. (2014) 58:7, 3895–3903. doi: 10.1128/AAC.02412-14

Crossref Full Text | Google Scholar

53. Zhou, Y , Liang, Y , Lynch, KH , Dennis, JJ , and Wishart, DS . PHAST: a fast phage search tool. Nucleic Acids Res. (2011) 39:W347–52. doi: 10.1093/nar/gkr485

PubMed Abstract | Crossref Full Text | Google Scholar

54. Arndt, D , Grant, JR , Marcu, A , Sajed, T , Pon, A , Liang, Y, et al. PHASTER: a better, faster version of the PHAST phage search tool. Nucleic Acids Res. (2016) 44:W16–21. doi: 10.1093/nar/gkw387

PubMed Abstract | Crossref Full Text | Google Scholar

55. Chen, L . VFDB: a reference database for bacterial virulence factors. Nucleic Acids Res. (2004) 33:D325–8. doi: 10.1093/nar/gki008

PubMed Abstract | Crossref Full Text | Google Scholar

56. Roer, L , Hendriksen, RS , Leekitcharoenphon, P , Lukjancenko, O , Kaas, RS , Hasman, H, et al. Is the evolution of Salmonella enterica subsp. enterica linked to restriction-modification systems? mSystems. (2016) 1:e00009–16. doi: 10.1128/mSystems.00009-16

PubMed Abstract | Crossref Full Text | Google Scholar

57. Khan, AS , Pierneef, RE , Gonzalez-Escalona, N , Maguire, M , Li, C , Tyson, GH, et al. Molecular characterization of Salmonella detected along the broiler production chain in Trinidad and Tobago. Microorganisms. (2022) 10:570. doi: 10.3390/microorganisms10030570

Crossref Full Text | Google Scholar

58. Johnson, TJ , Thorsness, JL , Anderson, CP , Lynne, AM , Foley, SL , Han, J, et al. Horizontal gene transfer of a ColV plasmid has resulted in a dominant avian clonal type of Salmonella enterica serovar Kentucky. PLoS One. (2010) 5:e15524. doi: 10.1371/journal.pone.0015524

PubMed Abstract | Crossref Full Text | Google Scholar

59. Haley, BJ , Kim, SW , Pettengill, J , Luo, Y , Karns, JS , and JAS, VK . Genomic and evolutionary analysis of two Salmonella enterica Serovar Kentucky sequence types isolated from bovine and poultry sources in North America. PLoS ONE. (2016) 11:e0161225. doi: 10.1371/journal.pone.0161225

PubMed Abstract | Crossref Full Text | Google Scholar

60. Barton Behravesh, C , Mody, RK , Jungk, J , Gaul, L , Redd, JT , Chen, S, et al. 2008 outbreak of Salmonella Saintpaul infections associated with raw produce. N Engl J Med. (2011) 364:918–27. doi: 10.1056/NEJMoa1005741

Crossref Full Text | Google Scholar

61. Zheng, J , Allard, S , Reynolds, S , Millner, P , Arce, G , Blodgett, RJ, et al. Colonization and internalization of Salmonella enterica in tomato plants. Appl Environ Microbiol. (2013) 79:2494–502. doi: 10.1128/AEM.03704-12

Crossref Full Text | Google Scholar

62. Beatty, ME , LaPorte, TN , Phan, Q , Van Duyne, SV , and Braden, C . A multistate outbreak of Salmonella enterica serotype Saintpaul infections linked to mango consumption: a recurrent theme. Clin Infect Dis. (2004) 38:1337–8. doi: 10.1086/383156

PubMed Abstract | Crossref Full Text | Google Scholar

63. Andruzzi, MN , Krath, ML , Lawhon, SD , and Boudreau, B . Salmonella enterica subspecies houtenae as an opportunistic pathogen in a case of meningoencephalomyelitis and bacteriuria in a dog. BMC Vet Res. (2020) 16, 16:437. doi: 10.1186/s12917-020-02652-5

Crossref Full Text | Google Scholar

64. Lourenço, MCS , Reis, EFMdos , Valls, R , Asensi, MD , and Hofer, E . Salmonella enterica subsp houtenae serogroup O:16 in a HIV positive patient: case report. Rev Inst Med Trop S Paulo. (2004) 46:169–170. doi: 10.1590/s0036-46652004000300009

Crossref Full Text | Google Scholar

65. Teklemariam, AD , Al-Hindi, RR , Albiheyri, RS , Alharbi, MG , Alghamdi, MA , Filimban, AAR, et al. Human salmonellosis: a continuous global threat in the farm-to-fork food safety continuum. Foods. (2023) 12:1756. doi: 10.3390/foods12091756

Crossref Full Text | Google Scholar

66. Adesiyun, A , Stewart-Jo, A , and Rodrigo, S . Questionnaire survey on salmonellosis and the egg industry in the English-speaking Caribbean. Int J Poul Sci. (2019) 18:334–9. doi: 10.3923/ijps.2019.334.339

Crossref Full Text | Google Scholar

67. Khan, AS , Pierneef, RE , Gonzalez-Escalona, N , Maguire, M , Georges, K , Abebe, W, et al. Phylogenetic analyses of Salmonella detected along the broiler production chain in Trinidad and Tobago. Poul Sci. (2023) 102, 102:102322:102322. doi: 10.1016/j.psj.2022.102322

PubMed Abstract | Crossref Full Text | Google Scholar

68. Magnet, S , Courvalin, P , and Lambert, T . Activation of the cryptic aac(6′)-Iy aminoglycoside resistance gene of Salmonella by a chromosomal deletion generating a transcriptional fusion. J Bacteriol. (1999) 181:6650–5. doi: 10.1128/JB.181.21.6650-6655.1999

PubMed Abstract | Crossref Full Text | Google Scholar

69. Pavelquesi, SLS , de Oliveira Ferreira, ACA , Rodrigues, ARM , de Souza Silva, CM , Orsi, DC , and da Silva, ICR . Presence of tetracycline and sulfonamide resistance genes in Salmonella spp. Lit Rev Antib. (2021) 10:1314. doi: 10.3390/antibiotics10111314

Crossref Full Text | Google Scholar

70. Hansen, KH , Bortolaia, V , Nielsen, CA , Nielsen, JB , Schønning, K , Agersø, Y, et al. Host-specific patterns of genetic diversity among IncI1-Iγ and IncK plasmids encoding CMY-2 β-lactamase in Escherichia coli isolates from humans, poultry meat, poultry, and dogs in Denmark. Appl Environ Microbiol. (2016) 82:4705–14. doi: 10.1128/AEM.00495-16

Crossref Full Text | Google Scholar

71. Neuert, S , Nair, S , Day, MR , Doumith, M , Ashton, PM , Mellor, KC, et al. Prediction of phenotypic antimicrobial resistance profiles from whole genome sequences of non-typhoidal Salmonella enterica. Front Microbiol. (2018) 9:592. doi: 10.3389/fmicb.2018.00592/full

Crossref Full Text | Google Scholar

72. Fricke, WF , McDermott, PF , Mammel, MK , Zhao, S , Johnson, TJ , Rasko, DA, et al. Antimicrobial resistance-conferring plasmids with similarity to virulence plasmids from avian pathogenic Escherichia coli strains in Salmonella enterica Serovar Kentucky isolates from poultry. Appl Environ Microbiol. (2009) 75:5963–71. doi: 10.1128/AEM.00786-09

PubMed Abstract | Crossref Full Text | Google Scholar

73. Jacoby, GA . AmpC β-Lactamases. Clin Microbiol Rev. (2009) 22:161–82. doi: 10.1128/CMR.00036-08

PubMed Abstract | Crossref Full Text | Google Scholar

74. Carattoli, A , Villa, L , Fortini, D , and García-Fernández, A . Contemporary IncI1 plasmids involved in the transmission and spread of antimicrobial resistance in Enterobacteriaceae. Plasmid. (2021) 118:102392. doi: 10.1016/j.plasmid.2018.12.001

Crossref Full Text | Google Scholar

75. Rehman, MA , Yin, X , Persaud-Lachhman, MG , and Diarra, MS . First detection of a Fosfomycin resistance gene, fosA7, in Salmonella enterica Serovar Heidelberg isolated from broiler chickens. Antimicrob Agents Chemother. (2017) 61:e00410-17. doi: 10.1128/AAC.00410-17

Crossref Full Text | Google Scholar

76. Agga, GE , Silva, PJ , and Martin, RS . Prevalence, Serotypes, and antimicrobial resistance of Salmonella from mink feces and feed in the United States. Foodborne Pathogens Dis. (2022) 19:45–55. Available at:. doi: 10.1089/fpd.2021.0037

PubMed Abstract | Crossref Full Text | Google Scholar

77. Wang, D , Fang, LX , Jiang, YW , Wu, DS , Jiang, Q , Sun, RY, et al. Comparison of the prevalence and molecular characteristics of fosA3 and fosA7 among Salmonella isolates from food animals in China. J Antimicrobial Chemother. (2022) 77:1286–95. doi: 10.1093/jac/dkac061

PubMed Abstract | Crossref Full Text | Google Scholar

78. Jibril, AH , Okeke, IN , Dalsgaard, A , and Olsen, JE . Prevalence and whole genome phylogenetic analysis reveal genetic relatedness between antibiotic resistance Salmonella in hatchlings and older chickens from farms in Nigeria. Poul Sci. (2023) 102:102427. doi: 10.1016/j.psj.2022.102427

PubMed Abstract | Crossref Full Text | Google Scholar

79. Kipper, D , Orsi, RH , Carroll, LM , Mascitti, AK , Streck, AF , Fonseca, ASK, et al. Recent evolution and genomic profile of Salmonella enterica Serovar Heidelberg isolates from poultry flocks in Brazil. Appl Environ Microbiol. (2021) 87:e01036-21. doi: 10.1128/AEM.01036-21

Crossref Full Text | Google Scholar

80. Ladely, SR , Meinersmann, RJ , Ball, TA , and Fedorka-Cray, PJ . Antimicrobial susceptibility and plasmid replicon typing of Salmonella enterica Serovar Kentucky isolates recovered from broilers. Foodborne Pathogens Dis. (2016) 13:309–15. doi: 10.1089/fpd.2015.2102

PubMed Abstract | Crossref Full Text | Google Scholar

81. Rozwandowicz, M , Brouwer, MSM , Fischer, J , Wagenaar, JA , Gonzalez-Zorn, B , Guerra, B, et al. Plasmids carrying antimicrobial resistance genes in Enterobacteriaceae. J Antimicro Chemother. (2018) 73:1121–37. doi: 10.1093/jac/dkx488

Crossref Full Text | Google Scholar

82. Li, Y , Kang, X , Ed-Dra, A , Zhou, X , Jia, C , Müller, A, et al. Genome-based assessment of antimicrobial resistance and virulence potential of isolates of non-Pullorum/Gallinarum Salmonella Serovars recovered from dead poultry in China. Microbiol Spectr. (2022) 10:e0096522. doi: 10.1128/spectrum.00965-22

PubMed Abstract | Crossref Full Text | Google Scholar

83. Tang, B , Elbediwi, M , Nambiar, RB , Yang, H , Lin, J , and Yue, M . Genomic characterization of antimicrobial-resistant Salmonella enterica in duck, chicken, and pig farms and retail Markets in Eastern China. Microbiol Spectr. (2022) 10:e0125722. doi: 10.1128/spectrum.01257-22

PubMed Abstract | Crossref Full Text | Google Scholar

84. Soltys, RC , Sakomoto, CK , Oltean, HN , Guard, J , Haley, BJ , and Shah, DH . High-resolution comparative genomics of Salmonella Kentucky aids source tracing and detection of ST198 and ST152 lineage-specific mutations. Front Sustain Food Syst. (2021) 5:695368. Available at:. doi: 10.3389/fsufs.2021.695368/full

Crossref Full Text | Google Scholar

85. Mottawea, W , Duceppe, MO , Dupras, AA , Usongo, V , Jeukens, J , Freschi, L, et al. Salmonella enterica prophage sequence profiles reflect genome diversity and can be used for high discrimination subtyping. Front Microbiol. (2018) 9:836. doi: 10.3389/fmicb.2018.00836/full

Crossref Full Text | Google Scholar

86. Mirold, S , Rabsch, W , Tschäpe, H , and Hardt, WD . Transfer of the Salmonella type III effector sopE between unrelated phage families. J Mol Biol. (2001) 312:7–16. doi: 10.1006/jmbi.2001.4950

Crossref Full Text | Google Scholar

87. Humphreys, D , Davidson, A , Hume, PJ , and Koronakis, V . Salmonella virulence effector SopE and host GEF ARNO cooperate to recruit and activate WAVE to trigger bacterial invasion. Cell Host Microbe. (2012) 11:129–39. doi: 10.1016/j.chom.2012.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

88. Wahl, A , Battesti, A , and Ansaldi, M . Prophages in Salmonella enterica: a driving force in reshaping the genome and physiology of their bacterial host? Mol Microbiol. (2019) 111:303–16. doi: 10.1111/mmi.14167

Crossref Full Text | Google Scholar

89. Zhou, Z , Alikhan, NF , Mohamed, K , Fan, Y , and the Agama Study GroupAchtman, M . The EnteroBase user’s guide, with case studies on Salmonella transmissions, Yersinia pestis phylogeny, and Escherichia core genomic diversity. Genome Res. (2020) 30:138–52. doi: 10.1101/gr.251678.119

PubMed Abstract | Crossref Full Text | Google Scholar

90. Collins, JP , Shah, HJ , Weller, DL , Ray, LC , Smith, K , McGuire, S, et al. Preliminary incidence and trends of infections caused by pathogens transmitted commonly through food — foodborne diseases active surveillance network, 10 U.S. sites, 2016–2021. MMWR Morb Mortal Wkly Rep. (2022) 71:1260–4. doi: 10.15585/mmwr.mm7140a2

Crossref Full Text | Google Scholar

Keywords: Salmonella enterica, poultry, Cayman Islands, whole genome sequencing, public health, non-typhoidal salmonella

Citation: Watler S, Toka FN, Lardé H, Johnson A and Butaye P (2024) Epidemiology of Salmonella enterica subspecies enterica serotypes, isolated from imported, farmed and feral poultry in the Cayman Islands. Front. Vet. Sci. 11:1331916. doi: 10.3389/fvets.2024.1331916

Received: 02 November 2023; Accepted: 18 January 2024;
Published: 09 February 2024.

Edited by:

Javier Caballero Gómez, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Spain

Reviewed by:

Mihaela Niculae, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, Romania
Min Yue, Zhejiang University, China

Copyright © 2024 Watler, Toka, Lardé, Johnson and Butaye. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Patrick Butaye, pabutaye@cityU.edu.hk

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