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Article

Prevalence Estimation, Antimicrobial Susceptibility, and Serotyping of Salmonella enterica Recovered from New World Non-Human Primates (Platyrrhini), Feed, and Environmental Surfaces from Wildlife Centers in Costa Rica

by
Ernesto Rojas-Sánchez
1,2,*,
Mauricio Jiménez-Soto
2,
Elias Barquero-Calvo
3,
Francisco Duarte-Martínez
4,
Dixie F. Mollenkopf
5,
Thomas E. Wittum
5 and
Lohendy Muñoz-Vargas
1,*
1
Laboratorio de Salud Pública e Inocuidad de Alimentos, Programa de Investigación en Enfermedades Tropicales (PIET), Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
2
Hospital de Especies Menores y Silvestres, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
3
Laboratorio de Bacteriología, Programa de Investigación en Enfermedades Tropicales (PIET), Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
4
Laboratorio de Genómica y Biología Molecular, Centro Nacional de Referencia de Inocuidad Microbiológica de Alimentos, Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud, Cartago 30301, Costa Rica
5
Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH 43210, USA
*
Authors to whom correspondence should be addressed.
Antibiotics 2023, 12(5), 844; https://doi.org/10.3390/antibiotics12050844
Submission received: 31 March 2023 / Revised: 20 April 2023 / Accepted: 26 April 2023 / Published: 2 May 2023
(This article belongs to the Special Issue Antibiotics Resistance in Animals and the Environment)

Abstract

:
Concern about zoonoses and wildlife has increased. Few studies described the role of wild mammals and environments in the epidemiology of Salmonella. Antimicrobial resistance is a growing problem associated with Salmonella that threatens global health, food security, the economy, and development in the 21st century. The aim of this study is to estimate the prevalence and identify antibiotic susceptibility profiles and serotypes of non-typhoidal Salmonella enterica recovered from non-human primate feces, feed offered, and surfaces in wildlife centers in Costa Rica. A total of 180 fecal samples, 133 environmental, and 43 feed samples from 10 wildlife centers were evaluated. We recovered Salmonella from 13.9% of feces samples, 11.3% of environmental, and 2.3% of feed samples. Non-susceptibility profiles included six isolates from feces (14.6%): four non-susceptible isolates (9.8%) to ciprofloxacin, one (2.4%) to nitrofurantoin, and one to both ciprofloxacin and nitrofurantoin (2.4%). Regarding the environmental samples, one profile was non-susceptible to ciprofloxacin (2.4%) and two to nitrofurantoin (4.8%). The serotypes identified included Typhimurium/I4,[5],12:i:-, S. Braenderup/Ohio, S. Newport, S. Anatum/Saintpaul, and S. Westhampton. The epidemiological surveillance of Salmonella and antimicrobial resistance can serve in the creation of strategies for the prevention of the disease and its dissemination throughout the One Health approach.

1. Introduction

In Costa Rica (CR), protected terrestrial areas represent 25.44% of the 51,110 km2 territory [1]. The country is recognized worldwide for its biodiversity, with non-human primates (NHPs) being one of the main attractions. The common practice of people, residents, and tourists having close proximity and direct contact with wildlife is considered a risk factor for pathogen transmission [2]. Four NHP species live in the country: spider monkeys (Ateles geoffroyi), Central American squirrel monkeys (Saimiri oerstedii), howler monkeys (Alouatta palliata), and white-faced capuchin monkeys (Cebus imitator). According to the International Union for the Conservation of Nature (IUCN), spider and squirrel monkeys are considered endangered, while howlers and capuchins are in the category of vulnerable [3]. Injured wildlife are usually taken to private rescue centers distributed throughout Costa Rica. Wildlife attended in rescue centers with a medical, physical, or behavioral condition that does not allow them to return to the wild can be kept in zoos, sanctuaries, rescue centers, or wildlife exhibits with the corresponding government permits. Among the leading causes of NHP income to these sites are electrocutions, car hits, dog and cat attacks, destruction and fragmentation of habitats, hunting, extensive agriculture, and seizures for illegal possession of wildlife [4].
Concern about zoonoses and wildlife has increased due to the growing proximity of wildlife to humans as a result of human expansion, globalization, climate change, and alterations to the ecosystem [5]. Wildlife can serve as a reservoir of zoonoses, constituting a challenge for public health [6]. Most emerging and re-emerging infectious diseases are zoonotic and include some type of wild reservoir [5,7]. There is a high potential for zoonoses and anthropozoonoses between humans and NHPs [8,9,10,11]. Few studies described the role of wild mammals and environments in the epidemiology of Salmonella. This is important since direct exposure to Salmonella carriers represents a health risk in ex situ places handling and caring for wildlife [12,13]. Salmonella is a Gram-negative, rod-shaped enterobacteria, distributed worldwide, and responsible for causing disease in humans and animals [14,15]. Its extensive distribution, ability to survive under multiple adverse environmental conditions, wide range of hosts, and multiple transmission routes are characteristics that favor infection [12,13,16]. Salmonella often occurs asymptomatically in animals [17]; however, clinical signs include acute or chronic diarrhea, enteritis, septicemia, and even abortions [18]. Changes in the eco-epidemiology of Salmonella and zoonoses in wildlife have been classified as natural or anthropogenic [19], including human expansion, changes in natural habitats, changes in agricultural activities, globalization of trade, translocation of wildlife, bushmeat markets, consumption of exotic foods, development of ecotourism, access to zoos that allow contact with animals, and possession of wild pets at domestic level [20]. Salmonella prevalence in wildlife is variable and not well known. Some studies have reported its isolation from centers dedicated to wildlife management under human care, including serovars with public health importance such as S. Typhimurium, I4,[5],12:i:- monophasic variant, Newport, Montevideo, Kentucky, and Heidelberg, among others [14,15,21,22,23,24,25,26]. Studies suggest that the main source of transmission to these animals occurs through the consumption of contaminated water, feed, and surfaces that come into contact with other reservoirs [21,22,25]. Animals under human care can serve as asymptomatic carriers intermittently excreting Salmonella. Clinical signs often appear in conjunction with stressful processes, causing a fatal fulminant infection and excreting a large number of bacteria during the course of the disease [11,26,27]. Personnel who work at wildlife centers, visitors, and other animals in the facilities are populations at risk of contagion [14,15,26]. Epidemiological data related to clinical cases and transmission of diseases through indirect contact with animals is limited and usually not considered in the study and approach to infectious disease outbreaks [28,29].
Additionally, antimicrobial resistance is a growing complex health issue associated with Salmonella that threatens global health, food security, the economy, and development in the 21st century [30]. This is a natural phenomenon that is constantly expanding and requires a One Health approach to fight [30,31]. In CR, Salmonella clinical isolates are mostly pan-susceptible; however, multi-resistant strains of veterinary origin circulate with decreased sensitivity to ciprofloxacin and nalidixic acid [32,33]. Naturally, wildlife does not come into undue contact with antimicrobials [34,35]; however, proximity to urban areas and contact with polluted environments is an important source of resistant bacteria that could be transferred to wildlife populations. Wildlife colonized with antimicrobial-resistant bacteria can act as reservoirs, vectors, bioindicators of antibacterial resistance, and genetic determinants of antibacterial resistance in the environment [34], representing a health risk factor per se [36]. Wildlife under human care can harbor resistant genes and microorganisms due to the dissemination of bacteria and antibiotic wastes in the environment [12,23,25]. However, no previous research related to Salmonella and antimicrobial resistance in wildlife under human care in Costa Rica has been performed, including multiple wildlife centers and primate species. Therefore, the aim of this study was to estimate the prevalence and identify antibiotic susceptibility profiles and serotypes of non-typhoidal Salmonella enterica recovered from non-human primate feces, feed, and surfaces in wildlife centers in Costa Rica. Understanding the epidemiology of Salmonella in these places facilitates the development of control strategies and interventions to protect wildlife conservation and public health.

2. Results

Salmonella prevalence. In total, 180 fecal samples from 10 management sites, 133 surfaces, and 43 feed samples were evaluated for Salmonella enterica. All Salmonella isolates were confirmed by biochemical assays, with a VITEK system and PCR-targeting hilA gene, for which all of them were hilA positive. From feces, 54 samples belonged to A. palliata, 45 to A. geoffroyi, 50 to C. imitator, and 31 to S. oerstedii (Table 1). The estimated prevalence for A. palliata was 12.9%, for A. geoffroyi 15.5%, for C. imitator 16%, and 9.6% for S. oerstedii. Prevalences among species were not statistically significant (p = 0.852). Environmental samples were distributed in 49 Animal Contact, 45 Human Contact, and 35 Animal–Human Mixed Contact Surfaces (Table 2) with prevalences of 17%, 3.8%, and 10.3%, respectively. Prevalence among surfaces type tended to be significant (p = 0.065). Animal Contact and Human Contact prevalences had a significant difference (p = 0.027). Eleven samples corresponded to feeds of animal origin, 31 of vegetable origin, and 1 of mixed origin (Table 3) with prevalences of 0%, 3.22%, and 0%. No significant differences were identified among population variables (Table 4). Among the centers willing to participate, we recovered Salmonella from feces at 70% (7/10) of the locations, surfaces at 50% (5/10) of the sites, and 10% (1/10) from feed samples. Positive feed samples included a pool of cucumber, tree leaves, and watermelon.
Antibiotic Susceptibility Profile. A high percentage of Salmonella isolates were considered pansusceptible (78.0% (32/41)), and 22.0% (9/41) were resistant to at least one antibiotic tested. No multi-resistant isolates were recovered in the present study (resistant to at least three families of antibiotics). Resistant profiles included six isolates from feces (14.6%): four non-susceptible isolates (9.8%) to CIP, one (2.4%) to FM, and one to CIP-FM (2.4%). Regarding environments, one profile was non-susceptible to CIP (2.4%), and two to FM (4.8%) (Table 5). One colistin isolated from an environmental sample showed a MIC of 8 μg/mL for colistin. A total of 10 μL of DNA (69.4 ng/mL) from this isolate was sent to The National Bacteriology Reference Center (INCIENSA) to confirm or rule out the presence of the mcr-1 gene by PCR. The result was negative. The only isolate from feed was pansusceptible.
Serotype Characterization. Of the isolates from feces, 16% (4/25) coincided with serotypes Typhimurium/I4,[5],12:i:-, S. Braenderup/Ohio, S. Newport, and S. Anatum/Saintpaul. S. Westhampton was isolated from 13.3% (2/15) of surfaces and 100% (1/1) of feed isolates; 83% (34/41) of isolates obtained a pattern that did not coincide with the reference [38].

3. Discussion

Due to zoonotic potential and the threat to wildlife conservation, Salmonella has a direct impact on human, animal, and environmental health. Its prevention and control strategies must be addressed from the One Health perspective [29,30,39]. Transdisciplinary work should focus on developing solutions, identifying reservoirs, and reducing cases through biosecurity, personal hygiene, and sanitary food handling practices. In Latin America, there is a lack of information regarding Salmonella and NHP, ex situ facilities where they are kept, and the feeds they consume, at least to the authors’ knowledge. In Colombia, Salmonella prevalence (80%, n = 10) was higher than at any of the participating centers in our study. Authors attribute the high prevalence to a possible outbreak of Salmonella at the time of sampling [40]. Other Latin-American groups reported primates suffering from clinical salmonellosis [41,42] and isolates from other wild animals under human care [21,25].
One of the largest primate studies at the National Primate Research Center in California reported a prevalence of 12% (n = 5076) [43]. This prevalence is similar to our study (13.89%). Primate research centers are sites where hygiene and biosecurity measures are strict and conditions are highly controlled. Likewise, Good et al. suggest that Salmonella colonization in primates is rarely associated with clinical symptoms, an observation that coincides with our results (Table 4) in which there is no significant difference in Salmonella isolation in relation to abnormal stool consistency (p = 0.879). The pressure on animal welfare, better hygiene, and biosecurity conditions has led to the benefit of the management and control of infectious diseases. There was no difference between variables such as life stage, sex, and time under human care for the isolation of Salmonella (Table 4). Pathogen prevalence in wildlife may impact the frequency of salmonellosis cases in humans and other animals [23]. Salmonella outbreaks in wildlife management sites are infrequent, poorly reported, and unknown in many cases. Visitors and workers pose an increased health risk from direct and indirect contact with asymptomatic animals [22].
Salmonella in wildlife management site surfaces is rarely reported. Transmission from surfaces is unknown in many cases and underestimated [12]. The presence of Salmonella in feces and environments could suggest environmental contamination from primates. However, environments are open, and the presence of potential vectors such as rodents, birds, insects, fomites, and people were observed, so there may be multiple origins. The environment can serve as a reservoir for Salmonella, favoring the colonization of multiple hosts [44]. To determine if the environmental and fecal strains are the same, molecular techniques are needed. However, when wildlife and environments are studied, it is very difficult to conclude in which direction the transmission occurs [45]. In Ohio, the prevalence from environmental samples (10.7%) [12] is similar compared to ours (11.3%). However, among the centers involved in this study, variations in frequencies between 0 and 26% were observed (Table 2), which could be attributed to different environmental conditions, the presence of vectors, hygiene, and biosafety measures. In this study, these characteristics were not included as analysis variables. The prevalence of Salmonella on animal contact and human–animal interface surfaces was significantly higher than on surfaces restricted to human contact where cleaning measures are more stringent (Table 2). This could influence the results, as there was a higher frequency of Salmonella in animal contact spaces than in areas restricted to human contact (p = 0.027).
Feeds included fruits, vegetables, eggs, chicken meat, beef, insects, dry dog feed, wet cat feed, and dairy products; all have been described as sources of Salmonella [46,47]. Feeds for wildlife are rarely microbiologically tested even though gastrointestinal disturbances occur frequently [48] and play a key role in transmission due to poor handling and inadequate hygiene measures. In Ohio, the prevalence of Salmonella in feed was 15.8% (6/38) [12], which is higher than our study. In India, 3.8% (1/26) of feeds tested were positive, similar to ours. In Mexico, 22 feed samples offered to wildlife were evaluated, all of them negatively [25] coinciding with the result obtained from most centers (9/10) (Table 3). Salmonella sampling in feed is important since it can be a source of transmission for wildlife in captivity. Concern has grown around Salmonella due to the increased reports of disease outbreaks associated with feed [49]. One of the described mechanisms that favor transmission is that pathogenic bacteria use their fimbriae and cellulose to attach to the surface of plants, which allows them to remain on these feeds [50]. Although quantification of Salmonella was not performed on the positive feed samples, it is described that a very low quantity of microorganisms (1 × 101–1 × 105) is required to cause disease [51]. Even in the multiple feed sources included in the composite samples, the Salmonella prevalence obtained was relatively low.
Environmental microbiological contamination represents a current challenge, as it is a means of contamination for feed offered to animals [50]. It was common for a primate to take freshly served feed, not finish it, and another primate (or the same) consume it later. This behavior occurs mainly in captivity, where there is limited space, and feeding and deposition of their excreta occur in the same area. This can favor the transmission of diseases between individuals in the same enclosure if an animal is brought into the enclosure and no stool tests are performed to determine its status.
In our study, 78.0% (32/41) of isolates were pansusceptible, while the remaining 22.2% (9/41) were resistant to at least one antibiotic; no multiresistance profiles were found. This matches with previous wildlife studies where the frequency of antibiotic use is low compared to livestock and healthcare settings [13]. Although wildlife is unlikely to be treated with antibiotic therapy, when they enter one of these rescue sites, it is mostly because they have a health condition, which may require the use of antibiotics [52]. The prevalence of resistant profiles found is still significant and matches with resistant profiles found in wildlife and human isolates in Costa Rica.
The antibiotic with the highest number of resistant isolates was ciprofloxacin (CIP) (Table 5), which, problematically, is one of the first treatment options for salmonellosis in humans [53]. The U.S. National Antimicrobial Resistance Monitoring System (NARMS) and the European Committee for Antimicrobial Susceptibility Assessment (EUCAST) reported an increase in non-susceptible Salmonella isolates [54,55]. WHO assigned it as one of the high-priority pathogens for research [56]. In CR, fluoroquinolones such as enrofloxacin are widely used in veterinary medicine as first-line treatment options and prophylactically in primates and domestic animals. Likewise, worldwide, there is high use of fluoroquinolones, including ciprofloxacin, although it is not a first-line choice [57]. Non-susceptible Salmonella strains to fluoroquinolones have also been isolated from farm animals [58,59,60,61] as well as raccoons [32] in CR. The surveillance report from CR during the study period reports 7.7% (19/248) of Salmonella isolates as not susceptible to ciprofloxacin [62]. The increase in these isolates requires an approach from the One Health perspective to monitor where they are being created and how they spread and determine contagion niches [56].
Nitrofurantoin has been used in veterinary medicine mainly as a growth promoter in livestock. It is banned for growth promotion in Europe [63], as well as in CR. In CR, this drug is registered for use in humans [64]. The Veterinary Drug System does not contain any record of the molecule. Off-label use of this drug in Costa Rica occurs in the veterinary field. In Europe, despite its long-standing ban, nitrofurantoin resistance in Salmonella is being maintained over time, mainly by the genes nfsA and nfsB [63]. Two presumed scenarios that could explain resistant isolates that come from animals with no previous history of using this type of antibiotic are that resistance has been maintained over time in environments and spread through water, feed, or the environment. Another possibility is that it has passed from humans or another animal carrier, through direct or indirect contact. However, establishing the timing of the infection and dissemination of Salmonella resistant to nitrofurantoin in these scenarios remains to be studied in greater depth in future studies.
The result of the PCR for the identification of the mcr-1 gene was negative, which rules out this mechanism. Different mcr genes may be involved in the resistance mechanism. According to INCIENSA, it has been difficult to obtain positive controls for other mcr genes. Other mechanisms of colistin resistance in Gram-negative bacteria include chromosomal mutations [65]. The confirmation of resistance to colistin, regardless of the mechanism of resistance to this antibiotic, is through phenotypic methods such as microdilution in broth, a reference methodology recommended by CLSI [37].
In CR, clinical Salmonella isolates are mostly pan-susceptible; however, multi-resistant strains circulate with decreased sensitivity to CIP. A similar situation occurs in isolates of veterinary origin [32,33,57,58,59,60,61]. These data agree with the findings found in our study, where 14.6% of the isolates have decreased sensitivity to ciprofloxacin. It should be noted that the selection of antibiotics focused on determining the antibiotic susceptibility to infections by Salmonella spp. in possible cases of infection in people. Furthermore, since there are no reference MIC values for primates, using the One Health approach to establish the responsible use of antibiotics, hygiene, and biosafety measures could slow antimicrobial resistance due to the selection pressure exerted by antibiotics on bacteria, as well as due to the horizontal transfer of mobile genetic elements.
All the serotypes identified have been associated with human clinical conditions, causing disease outbreaks and contaminating feed. Salmonella Typhimurium and its monophasic variant I4,[5],12:i:-represent the first- and second-most prevalent serotypes identified in CR [33,61], with similar situations in Europe [66], USA [67], and Australia [68]. The monophasic variant I4,[5],12:i:-is strongly associated with the feed industry [66,69]. These serovars are generating increasing concern due to the increase in multi-resistant isolates that compromise global health, increasing morbidity and mortality [70]. In CR, isolates with extended-spectrum B-lactamases (ESBL) are already reported [33], which represents a threat to Costa Rican and global public health. S. Typhimurium has been identified in primates, causing diarrhea [71] and asymptomatically [27]. It has also been isolated from wildlife in captivity [12,13,24,26] as well as the caretakers of the collection [13]. Variant I4,[5],12:i:- has been reported in captive animals without causing disease [24,26]. To the author’s knowledge, this serovar has not been reported in wild animals in Costa Rica. S. Westhampton is a rare serotype [72,73,74]. In CR, this serotype has not been reported [33]. It has been mainly associated with environments where there are animals [72,73,74]. In our study, the samples corresponding to this serotype coincide with what was reported when found in environments and feeds, all belonging to the same management site (Table 2 and Table 3). At this site, the samples from primates do not belong to this serotype, which suggests that the S. Westhampton reservoir may be the environment or an unidentified animal. An isolate from feces shared a pattern with two serovars: Braenderup and Ohio, which are indistinguishable by this method [38]. In CR, two Braenderup cases of human origin in 2018 were reported [62]. Worldwide there is a wide description of outbreaks associated with S. Braenderup from foods [75,76,77,78,79] and also reports of this serovar in wild birds in captivity [23,26,80]. This serovar has already been isolated from primates [41]. S. Ohio is a rare serovar usually acquired from food [81]. However, its reservoirs and routes of transmission through food are often unknown and difficult to establish [81,82]. In CR, this serovar has not been reported according to the reference center [62]. In California, S. Ohio has been reported in captive wild birds [26]. Regarding the Newport serotype, in CR, it occupies the eighth place [62]. In recent years, multi-resistant isolates of S. Newport have increased, which has generated concern about the spread of these strains [83,84]. S. Newport has been isolated from foods that have caused outbreaks [83,85,86,87], as well as from wild environments and animals [26,83], including primates [41]. S. Anatum has been isolated from foods [88,89,90,91] associated with improper handling [90,92]. It also behaves as a causal agent of nosocomial disease [93], which would represent a risk for conservation and collection if adequate biosecurity measures are not in place. According to the CR Salmonella report, a case of unknown origin is recorded [62]. S. Saintpaul has been isolated from captive wildlife [26]. For CR, two human cases are reported, one from Heredia and another with unknown origin [62]. The Anatum and Saintpaul serotypes are indistinguishable according to the methodology used [38]. Two primates from this collection (Table 4) were positive for the Newport and Anatum/Saintpaul serotypes. The isolation of these serotypes was unique, suggesting that the animals possibly acquired the bacteria at different times. These animals did not share an enclosure.
The PCR methodology was a limitation in identifying the serotypes from this study. More specialized techniques, such as Whole Genome Sequencing or conventional serotyping, are necessary to identify these serotypes. A cross-sectional observational sampling was carried out, so there could be an underestimation of the prevalence if, at that time, the animal(s) did not excrete the microorganism. The study did not intend to determine the causes of colonization, but rather to estimate the prevalence of Salmonella from different matrices and their characterization of resistance and serotype. When apparently healthy populations are sampled, there are often false negatives due to intermittent shedding and low shedding load. The effect of these two previously described factors can be counteracted by using feces (as was done) in the culture instead of rectal swabs. Another important aspect that could reduce these false negatives is serial sampling (at least three days) [94]. However, due to the logistics discussed with the management sites and previous experiences in the collection of non-invasive samples, this could not have occurred with all the primates. Further research directions include whole genome sequencing of the isolates, Salmonella studies in situ wildlife populations, longitudinal research studies, and risk factor assessment for the isolation of Salmonella in the three study matrices.

4. Materials and Methods

This cross-sectional study aimed to estimate the prevalence of Salmonella enterica in the feces of New World non-human primates under human care in Costa Rica, feed offered to them, and surrounding surfaces that they inhabit at wildlife centers. Centers officially registered at the Ministry of Environment and Energy and willing to participate were included in the study. Sample size (n) was obtained using the WinEpi program [95] considering a population of 250 (N) primates [96], an expected prevalence of Salmonella spp. in feces of 5%, a confidence level of 97.5% and a margin of error of 2%, resulting in a total of 180 primates. The inclusion criteria considered apparently healthy primates from ten centers, free of any antibiotic therapy during the last week. From those primates, fresh fecal samples, feed (animal and vegetable sources), and three types of surfaces (human contact, animal contact, and human–animal mixed contact surfaces) were sampled in each involved center.

4.1. Sample Collection

Stool. Approximately 4 g of fresh feces was collected from primates restricted in previously cleaned containment traps. Each primate was expected to defecate there, and the fecal sample was immediately taken aseptically from the top using a sterile spatula contained in the lid of a sterile collection jar (Nipro Medical, Bridgewater, NJ, USA). The samples were identified, stored, and transported at 4 °C to the laboratory.
Contact surfaces. Surface samples were aseptically retrieved using personal protective equipment. Sterile gauze pads (Ambiderm, Heredia, Costa Rica) soaked in 10 mL of sterile buffered peptone water (BPW) (Difco®, Le Pont de Claix, France) were dragged over the study surfaces and individually placed in sterile bags (Whirl-Pak®, Madison, WI, USA). All samples were transported as described above.
Feeds. Prepared feeds provided to primates were aseptically collected in sterile bags (Whirl-Pak®, Madison, WI, USA) and transported as described above.

4.2. Sample Processing

Salmonella isolation from fecal samples. A previously standardized culture protocol was performed for Salmonella identification [97]. Four grams of feces was homogenized and enriched in 36 mL of Tetrathionate broth (TTB) (BD Co., Spark, MD, USA) to which iodine was added in a ratio of 1:20, followed by incubation for 18–24 h in a water bath at 37 °C. Following, 0.1 mL of the inoculum was placed in 10 mL of Rappaport-Vassiliadis (RV) broth (BD Co., Spark, MD, USA) and incubated in a water bath at 42°C. After 24 h, inoculum was plated on Xylose-Lysine-Tergitol-4 (XLT-4) agar (Remel, Lenexa, KS, USA) and incubated for 18–24 h at 37 °C. S. Abaetetuba (ATCC 35640), H2S(+) was used as a positive control, S. Cholerasuis (ATCC 10708), H2S(−), and Escherichia coli (ATCC 25922) were used as a negative control. A single colony per plate, black or black in the center with a yellow periphery, compatible with Salmonella, was transferred to MacConkey (Mck) agar (BD Co., Spark, MD, USA).
Salmonella isolation from environment and feed. A total of 100 mL of BPW was added to each sterile bag containing gauze pads and then incubated for 24 h at 37 °C. Then, 1 mL was inoculated to RV broth and incubated in a water bath at 42 °C for 24 h to later be inoculated in XLT-4 and incubated for 24 h at 37 °C. A negative control (sterile gauze) and a positive control (sample inoculated with the Salmonella control strain) were included. A single colony per plate, black or black in the center with yellow periphery, compatible with Salmonella, was transferred to Mck agar (BD Co., Spark, MD, USA).
Phenotypic Confirmation. Lactose-negative colonies with morphologic characteristics compatible with Salmonella were placed in test tubes containing 5 mL of Triple-Iron-Sugar agar (TSI) (BD™, Le Pont de Claix, France) and Lysine-Sugar Iron Agar (LIA) (Sigma-Aldrich, St. Louis, MO, USA), and incubated at 37 °C for 24 h. Samples that generate a positive reaction in TSI agar, positive reaction to LIA, and visual glass agglutination test using a polyvalent Salmonella antiserum (Denka Seiken Ltd., Tokyo, Japan) were considered as Salmonella spp.
Antibiotic susceptibility test. The antibiotic susceptibility profiles were obtained using Minimum Inhibitory Concentrations with VITEK®2 AST-N279 cards (BioMérieux, Craponne, France). The antibiotics tested were the following: Ampicillin (AM), Ampicillin/Sulbactam (SAM), Piperacillin/Tazobactam (TZP), Cephalothin (CF), Cefotaxime (CTX), Ceftazidime (CAZ), Cefepime (FEP), Imipenem (IPM), Meropenem (MEM), Amikacin (AN), Gentamicin (GM), Nalidixic Acid (NA), Ciprofloxacin (CIP), Nitrofurantoin (FM), Colistin (CL), and Trimethoprim/Sulfamethoxazole (SXT). A bacterial concentration of 0.5 according to the McFarland standard in 3 mL of 0.85% sterile saline (Prelab, San José, Costa Rica) was prepared, followed by a transfer of 145 μL of this solution to 3 mL of sterile 0.45% saline (BioMérieux, France). This second solution was used to obtain the susceptibility profile. Resistance profiles were obtained according to the Clinical and Laboratory Standards Institute [37]. Isolates were classified by their Minimum Inhibitory Concentration (MIC) as susceptible and non-susceptible. Intermediate breakpoints were interpreted as non-susceptible.
Genotypic confirmation by hilA gene. All Salmonella isolates were tested by PCR reaction targeting the hilA promoter gene located in Salmonella pathogenicity island I [98]. DNA extraction, purification, and quantification were performed according to a standard protocol [99]. DNA was obtained using a DNeasy Blood and Tissue Extraction Kit (QIAGEN, Hilden, Germany). PCR primers were synthesized using the following sequences: 3′-AGCGTATWGATAATAATCCGGGAT-5′ and 5′-RTTCCACATTTTCTCGGCAATAG-3′ (88 bp). The reactions consisted of a final volume of 22 µL containing 2 µL of the extracted and purified DNA, 10 µL of Master Mix Platinum™ Hot Start PCR (Thermo Fisher, Waltham, MA, USA), 1 µL of primer F, 1 µL of primer R, 4 µL of enhancer (Thermo Fisher, Waltham, MA, USA), and 6 µL of H2O (Thermo Fisher, Waltham, MA, USA). The thermocycling conditions included: 1 initial denaturation cycle of 94 °C/15 min, 45 cycles for denaturation and alignment of 95 °C/1 min, 55 °C/1 min, 72 °C/1 min, followed by an extension temperature of 72 °C/10 min. This amplification protocol was carried out in a SimpliAmp thermocycler (Applied Biosystems, Foster City, CA, USA), followed by visualization of the amplicons using the QIAxcel Advanced System technology (QIAGEN, Hilden, Germany). Bands compatible with the expected molecular weights of 88 bp were identified and classified as positive. S. Typhimurium reference strain was used as positive control [100].
Serotype Identification of Recovered Isolates. A PCR protocol previously described was carried out for serotype identification [38,101]. Briefly, two multiplex PCR with five primer pairs and one multiplex PCR with two primer pairs were performed. Reactions consisted of a final volume of 25 µL containing 2 µL of extracted and purified DNA, 0.2 mM deoxynucleoside triphosphate, 2 mM MgCl2, 5 mM of each primer, and 3.5 units of Taq polymerase contained in Master Mix Platinum™ Hot Start PCR (Thermo Fisher, Waltham, MA, USA). The thermocycling conditions were the same for all reactions: 1 cycle of 94 °C/5 min, followed by 40 cycles of 94 °C/30 s, 56 °C/30 s, 72 °C/1 min, and a temperature extension at 72 °C/5 min, carried out in the SimpliAmp thermocycler (Applied Biosystems, Foster City, CA, USA). The amplicons were observed under the technology of the QIAxcel Advanced System (QIAGEN, Hilden, Germany).
Statistical Analysis. Descriptive statistical analysis of Salmonella prevalence in feces, feed, surfaces, and susceptibility profiles, was performed. Through a logistic regression analysis, the significance of the Salmonella presence (dichotomous response: positive or negative) in feces was evaluated using ANOVA test, considering variables such as primate species, years under human care, age, sex, presence of diarrhea, feces consistency, species, and management center using Minitab19® [102]. Age was determined according to morphological characteristics and records, following a categorization as infant, juvenile, or adult. Four species were considered: S. oerstedii, C. imitator, A. geoffroyi, and A. palliata. Sex included female and male. Variables related to feces included diarrhea presence or absence with diarrhea defined as liquid or loose stools with a frequency of three or more times per day and stool consistency defined as normal if stools were firm with a semi-solid consistency and a greenish-brown color and abnormal if stools deviated from the normal description. Time under human care was sorted into four categories: ≤1 year, >1 year–≤5 years, >5 years–≤ 10 years, and >10 years. p-values of <0.05 were considered significant in all models.

5. Conclusions

Pathogen transmission between humans and non-human primates is arguably one of the most dangerous outcomes of human–wildlife interactions. Based on the results of this study, we can conclude that captive non-human primates in Costa Rica can excrete Salmonella asymptomatically. The presence of Salmonella on surfaces in primate environments is an important finding for public health, mainly for people in contact with these primates due to their work duties. The epidemiological surveillance of Salmonella and other zoonotic agents at these sites and in wild animals, as well as the patterns of transmission, can favor the creation of strategies for the prevention of the disease and its dissemination.
Salmonella was isolated from the three study matrices (feces–environment–feed), and a higher prevalence than expected, based on previous studies, was observed. Significant differences in prevalence were observed between Animal Contact and Human Contact samples. Among recovered isolates, the frequency of ciprofloxacin and nitrofurantoin resistance was considerable. However, no multidrug-resistant isolates were identified.
It was possible to identify the serotype of some of the isolates, and those that were identified have been associated with clinical cases in people and some in primates, representing a risk to public health and wildlife conservation. The variety of characteristics among serotypes makes it likely that the main source of transmission to these animals is through the consumption of contaminated water or feed and surfaces that come into contact with rodents, birds, insects, or other reservoirs of the microorganism. The control of Salmonella in these places represents a challenge due to the variety of wildlife species living in proximity—not only primates—which can act as asymptomatic carriers and the working dynamics in these wildlife centers. Sanitary feed handling, constant cleaning, disinfection, and application of biosecurity measures are essential for the control of Salmonella in this type of population to avoid clinical cases and to prevent its spread between environments, animals, and people.

Author Contributions

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

Funding

This project was funded by Project: SIA-UNA 0123-19, Prevalence, genomic characterization, and antimicrobial resistance of Salmonella enterica recovered from New World non-human primates, feed, and environment in wildlife centers Costa Rica and SIA-UNA 0648-19: Genomic diversity of Salmonella enterica and antimicrobial resistance genes in human populations, animal, and feed in Costa Rica, both in charge of Lohendy Muñoz Vargas. Some of the materials used in this project were donated by the Department of Preventive and Comparative Medicine of the Ohio State University and SIA-UNA 0048-18, Diagnosis, Disease Control, and Management of Wild Animals project of the Hospital de Especies Menores y Silvestres, UNA. There was access to the facilities, equipment, and materials of the Bacteriology Laboratory and the Immunology/Biochemistry Laboratory of the EMV, UNA, for processing samples and respective analysis. The PCR-based serotyping of the isolates was carried out at INCIENSA. Financial aid was obtained from the Competitive Fund for Strengthening Student Capacities (FOCAES) of the Universidad Nacional de Costa Rica (UNA), and Vicerrectoria de Investigación, UNA, for the publication fees.

Institutional Review Board Statement

This study was approved by the Animal Welfare and Bioethics Board, School of Veterinary Medicine (EMV), Universidad Nacional (UNA), Costa Rica (UNA-EMV-CBBA-OFIC-002-2019), and The National Commission for Biodiversity Management (CONAGEBIO), (R-CM-UNA-007-2021-OT-CONAGEBIO, R-CM-UNA-006-2021-OT-CONAGEBIO). Centers included in the study were under the supervision of the Ministry of Environment and Energy from Costa Rica (MINAE). The centers made their participation conditional on the names being kept confidential for the study.

Informed Consent Statement

Informed consent was obtained from all centers involved in the study. They were shared and reviewed by National Commission for Biodiversity Management.

Data Availability Statement

Not applicable.

Acknowledgments

This study was made possible with the assistance and with support from Sistema Nacional de Areas de Conservación (SINAC), Comisión Nacional de la Biodiversidad (CONAGEBIO), and the wildlife centers and their staff.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sistema Nacional de Areas de Conservacion (SINAC). SEMEC 2018 Annual Statistics Report: SINAC in Numbers; Comp. B Pavlotsky: San José, Costa Rica, 2019; 82p. [Google Scholar]
  2. Muehlenbein, M.P.; Wallis, J. Considering risks of pathogen transmission associated with primate-based tourism. In Primate Tourism: A Tool for Conservation? Russon, A.E., Wallis, J., Eds.; Cambridge University Press: Cambridge, UK, 2014. [Google Scholar]
  3. The IUCN Red List of Threatened Species. Available online: https://www.iucnredlist.org (accessed on 3 August 2022).
  4. Jimenez-Soto, M.; Blanco, K.; Hagnauer, I.; Vega-Benavides, K. Centros de acopio de animales silvestres y su relación con la salud pública. Revista. Ambientico. 2013, 239, 38. [Google Scholar]
  5. Woods, R.; Reiss, A.; Cox-Witton, K.; Grillo, T.; Peters, A. The Importance of Wildlife Disease Monitoring as Part of Global Surveillance for Zoonotic Diseases: The Role of Australia. Trop. Med. Infect. Dis. 2019, 4, 29. [Google Scholar] [CrossRef]
  6. Daszak, P.; Cunningham, A.A.; Hyatt, A.D. Anthropogenic environmental change and the emergence of infectious diseases in wildlife. Acta Trop. 2001, 78, 103–116. [Google Scholar] [CrossRef] [PubMed]
  7. Bird, B.H.; Mazet, J.A.K. Detection of Emerging Zoonotic Pathogens: An Integrated One Health Approach. Annu. Rev. Anim. Biosci. 2018, 6, 121–139. [Google Scholar] [CrossRef]
  8. Carrillo-Bilbao, G.; Martin-Solano, S.; Saegerman, C. Zoonotic Blood-Borne Pathogens in Non-Human Primates in the Neotropical Region: A Systematic Review. Pathogens. 2021, 10, 1009. [Google Scholar] [CrossRef]
  9. Dong, H.; Li, J.; Qi, M.; Wang, R.; Yu, F.; Jian, F.; Ning, C.; Zhang, L. Prevalence, molecular epidemiology, and zoonotic potential of Entamoeba spp. In nonhuman primates in China. Infect. Genet. Evol. 2017, 54, 216–220. [Google Scholar] [CrossRef]
  10. Li, H.; Chen, Y.; Machalaba, C.C.; Tang, H.; Chmura, A.A.; Fielder, M.D.; Daszak, P. Wild animal and zoonotic disease risk management and regulation in China: Examining gaps and One Health opportunities in scope, mandates, and monitoring systems. One Health 2021, 13, 100301. [Google Scholar] [CrossRef]
  11. Miller, E.R.; Fowler, M.E. Fowler’s Zoo and Wild Animal Medicine; Elsevier Health Sciences: St. Louis, MO, USA, 2014; Volume 8. [Google Scholar]
  12. Farias, L.F.P.; Oliveira, C.J.B.; Medardus, J.J.; Molla, B.Z.; Wolfe, B.A.; Gebreyes, W.A. Phenotypic and Genotypic Characterization of Salmonella enterica in Captive Wildlife and Exotic Animal Species in Ohio, USA. Zoonoses Public Health 2015, 62, 438–444. [Google Scholar] [CrossRef]
  13. Milton, A.A.P.; Agarwal, R.K.; Priya, G.B.; Athira, C.K.; Saminathan, M.; Reddy, A.; Aravind, M.; Kumar, A. Occurrence, antimicrobial susceptibility patterns and genotypic relatedness of Salmonella spp. isolates from captive wildlife, their caretakers, feed and water in India. Epidemiol. Infect. 2018, 146, 1543–1549. [Google Scholar] [CrossRef]
  14. Brenner, F.W.; Villar, R.G.; Angulo, F.J.; Tauxe, R.; Swaminathan, B. Salmonella Nomenclature. J. Clin. Microbiol. 2000, 38, 2465–2467. [Google Scholar] [CrossRef] [PubMed]
  15. Ryan, M.P.; O′Dwyer, J.; Adley, C.C. Evaluation of the Complex Nomenclature of the Clinically and Veterinary Significant Pathogen Salmonella. BioMed. Res. Int. 2017, 2017, 3782182. [Google Scholar] [CrossRef] [PubMed]
  16. Pires, S.M.; Vieira, A.R.; Hald, T.; Cole, D. Source Attribution of Human Salmonellosis: An Overview of Methods and Estimates. Foodborne Pathog. Dis. 2014, 11, 667–676. [Google Scholar] [CrossRef]
  17. Spickler, A.R.; Leedom Larson, K. Salmonellosis. 2013. Available online: http://www.cfsph.iastate.edu/DiseaseInfo/factsheets.php (accessed on 3 August 2022).
  18. Zachary, J.F.; McGavin, M.D. Pathologic Basis of Veterinary Disease; Elsevier Health Sciences: London, UK; Elsevier Inc.: St. Louis, MO, USA, 2016. [Google Scholar]
  19. Kruse, H.; Kirkemo, A.-M.; Handeland, K. Wildlife as source of zoonotic infections. Emerg. Infect. Dis. 2004, 10, 2067–2072. [Google Scholar] [CrossRef]
  20. Chomel, B.B.; Belotto, A.; Meslin, F.X. Wildlife, exotic pets, and emerging zoonoses. Emerg. Infect. Dis. 2007, 13, 6–11. [Google Scholar] [CrossRef] [PubMed]
  21. Gopee, N.V.; Adesiyun, A.A.; Caesar, K. Retrospective And Longitudinal Study Of Salmonellosis In Captive Wildlife In Trinidad. J. Wildl. Dis. 2000, 36, 284–293. [Google Scholar] [CrossRef]
  22. Jang, Y.H.; Lee, S.J.; Lim, J.G.; Lee, H.S.; Kim, T.J.; Park, J.H.; Chung, B.H.; Choe, N.H. The rate of Salmonella spp. Infection in zoo animals at Seoul Grand Park, Korea. J. Vet. Sci. 2008, 9, 177–181. [Google Scholar] [CrossRef]
  23. Jijón, S.; Wetzel, A.; LeJeune, J. Salmonella enterica isolated from wildlife at two Ohio rehabilitation centers. J. Zoo Wildl. Med. 2007, 38, 409–413. [Google Scholar] [CrossRef]
  24. Molina-López, R.A.; Vidal, A.; Obón, E.; Martín, M.; Darwich, L. Multidrug-resistant Salmonella enterica Serovar Typhimurium Monophasic Variant 4,12:i:- Isolated from Asymptomatic Wildlife in a Catalonian Wildlife Rehabilitation Center, Spain. J. Wildl. Dis. 2015, 51, 759–763. [Google Scholar] [CrossRef] [PubMed]
  25. Silva-Hidalgo, G.; Ortiz-Navarrete, V.F.; Alpuche-Aranda, C.M.; Rendón-Maldonado, J.G.; López-Valenzuela, M.; Juárez-Barranco, F.; López-Moreno, H.S. Non-typhi Salmonella serovars found in Mexican zoo animals. Res. Vet. Sci. 2012, 93, 1132–1135. [Google Scholar] [CrossRef] [PubMed]
  26. Smith, W.A.; Mazet, J.A.K.; Hirsh, D.C. Salmonella in California Wildlife Species: Prevalence in Rehabilitation Centers and Characterization of Isolates. J. Zoo Wildl. Med. 2002, 33, 228–235. [Google Scholar]
  27. Renquist, D.M.; Whitney, R.A. Zoonoses acquired from pet primates. Vet. Clin. North Am. Small Anim. Pract. 1987, 17, 219–240. [Google Scholar] [CrossRef] [PubMed]
  28. Dolejska, M.; Literak, I. Wildlife Is Overlooked in the Epidemiology of Medically Important Antibiotic-Resistant Bacteria. Antimicrob. Agents Chemother. 2019, 63, e01167-19. [Google Scholar] [CrossRef]
  29. Hoelzer, K.; Moreno Switt, A.I.; Wiedmann, M. Animal contact as a source of human non-typhoidal salmonellosis. Vet. Res. 2011, 42, 34. [Google Scholar] [CrossRef]
  30. Gebreyes, W.A.; Dupouy-Camet, J.; Newport, M.J.; Oliveira, C.J.B.; Schlesinger, L.S.; Saif, Y.M.; Kariuki, S.; Saif, L.J.; Saville, W.; Wittum, T.; et al. The Global One Health Paradigm: Challenges and Opportunities for Tackling Infectious Diseases at the Human, Animal, and Environment Interface in Low-Resource Settings. PLoS Negl. Trop. Dis. 2014, 8, e3257. [Google Scholar] [CrossRef]
  31. Ferri, M.; Ranucci, E.; Romagnoli, P.; Giaccone, V. Antimicrobial resistance: A global emerging threat to public health systems. Crit. Rev. Food Sci. Nutr. 2017, 57, 2857–2876. [Google Scholar] [CrossRef]
  32. Baldi, M.; Barquero Calvo, E.; Hutter, S.E.; Walzer, C. Salmonellosis detection and evidence of antibiotic resistance in an urban raccoon population in a highly populated area, Costa Rica. Zoonoses Public Health 2019, 66, 852–860. [Google Scholar] [CrossRef] [PubMed]
  33. Bolaños, H.M.; Acuña, M.T.; Tijerino, A.; Jiménez, A.; Duarte, F.; Sánchez, L.M.; Dittel, I.; Vargas, J.L.; Campos, E. Red Nacional de Laboratorios de Bacteriología. Informe de Vigilancia Basada en Laboratorio: “Vigilancia Basada en Laboratorio de Salmonella, Costa Rica, 2013”; Inciensa: Tres Ríos, Costa Rica, 2014. [Google Scholar]
  34. Carroll, D.; Wang, J.; Fanning, S.; McMahon, B.J. Antimicrobial Resistance in Wildlife: Implications for Public Health. Zoonoses Public Health 2015, 62, 534–542. [Google Scholar] [CrossRef]
  35. Guenther, S.; Ewers, C.; Wieler, L.H. Extended-Spectrum Beta-Lactamases Producing, E. coli in Wildlife, yet Another Form of Environmental Pollution? Front. Microbiol. 2011, 2, 246. [Google Scholar] [CrossRef]
  36. Arnold, K.E.; Williams, N.J.; Bennett, M. Disperse abroad in the land’: The role of wildlife in the dissemination of antimicrobial resistance. Biol. Lett. 2016, 12, 20160137. [Google Scholar] [CrossRef]
  37. Clinical and Laboratory Standards Institute (CLSI). CLSI M100-ED32 Performance Standards for Antimicrobial Susceptibility Testing. 2022. Available online: http://em100.edaptivedocs.net/GetDoc.aspx?doc=CLSI%20M100%20ED32:2022&scope=user (accessed on 3 August 2022).
  38. Kim, S.; Frye, J.G.; Hu, J.; Fedorka-Cray, P.J.; Gautom, R.; Boyle, D.S. Multiplex PCR-Based Method for Identification of Common Clinical Serotypes of Salmonella enterica subsp. enterica. J. Clin. Microbiol. 2006, 44, 3608–3615. [Google Scholar] [CrossRef] [PubMed]
  39. Nizeyi, J.B.; Innocent, R.B.; Erume, J.; Kalema, G.R.; Cranfield, M.R.; Graczyk, T.K. Campylobacteriosis, salmonellosis, and shigellosis in free-ranging human-habituated mountain gorillas of Uganda. J. Wildl. Dis. 2001, 37, 239–244. [Google Scholar] [CrossRef] [PubMed]
  40. Calderón, L.G.R.; Ortegón, L.H.; Cely, G.E.E.; Granja, Y.T.; Nuñez, J.M. Aislamiento, identificación y patrón de sensibilidad antimicrobiana de Salmonella spp. en primates en cautiverio. Rev. Colomb. Cienc. Animal 2013, 5, 131–144. [Google Scholar]
  41. Knöbl, T.; Rocha, L.T.; Menão, M.C.; Igayara, C.A.S.; Paixão, R.; Moreno, A.M. Salmonella Yoruba infection in white-tufted-ear marmoset (Callithrix jacchus). Pesqui. Veterinária Bras. 2011, 31, 707–710. [Google Scholar] [CrossRef]
  42. Kourany, M.; Rossan, R.N. A subcutaneous abscess associated with Salmonella typhimurium in a black howler monkey (Alouatta villosa). Lab. Anim. Sci. 1971, 21, 412–414. [Google Scholar] [PubMed]
  43. Good, R.C.; May, B.D.; Kawatomari, T. Enteric pathogens in monkeys. J. Bacteriol. 1969, 97, 1048–1055. [Google Scholar] [CrossRef] [PubMed]
  44. MacKenzie, K.D.; Palmer, M.B.; Köster, W.L.; White, A.P. Examining the Link between Biofilm Formation and the Ability of Pathogenic Salmonella Strains to Colonize Multiple Host Species. Front. Vet. Sci. 2017, 4, 138. [Google Scholar] [CrossRef]
  45. Vittecoq, M.; Godreuil, S.; Prugnolle, F.; Durand, P.; Brazier, L.; Renaud, N.; Arnal, A.; Aberkane, S.; Jean-Pierre, H.; Gauthier-Clerc, M.; et al. Antimicrobial resistance in wildlife. J. Appl. Ecol. 2006, 53, 519–529. [Google Scholar] [CrossRef]
  46. Almeida, C.; Cerqueira, L.; Azevedo, N.F.; Vieira, M.J. Detection of Salmonella enterica serovar Enteritidis using real time PCR, immunocapture assay, PNA FISH and standard culture methods in different types of food samples. Int. J. Food Microbiol. 2013, 161, 16–22. [Google Scholar] [CrossRef]
  47. Molina, A.; Granados-Chinchilla, F.; Jiménez, M.; Acuña-Calvo, M.T.; Alfaro, M.; Chavarría, G. Vigilance for Salmonella in Feedstuffs Available in Costa Rica: Prevalence, Serotyping and Tetracycline Resistance of Isolates Obtained from 2009 to 2014. Foodborne Pathog. Dis. 2016, 13, 119–127. [Google Scholar] [CrossRef]
  48. Richter, E.R.; al-Sheddy, I. Microbiological quality and safety of zoo food. Appl. Env. Microbiol. 1990, 56, 877–880. [Google Scholar] [CrossRef]
  49. Lenzi, A.; Marvasi, M.; Baldi, A. Agronomic practices to limit pre- and post-harvest contamination and proliferation of human pathogenic Enterobacteriaceae in vegetable produce. Food Control. 2020, 119, 107486. [Google Scholar] [CrossRef]
  50. Bintsis, T. Microbial pollution and food safety. AIMS Microbiol. 2018, 4, 377–396. [Google Scholar] [CrossRef] [PubMed]
  51. Bell, R.L.; Jarvis, K.G.; Ottesen, A.R.; McFarland, M.A.; Brown, E.W. Recent and emerging innovations in Salmonella detection: A food and environmental perspective. Microb. Biotechnol. 2016, 9, 279–292. [Google Scholar] [CrossRef] [PubMed]
  52. Plaza-Rodríguez, C.; Alt, K.; Grobbel, M.; Hammerl, J.A.; Irrgang, A.; Szabo, I.; Stingl, K.; Schuh, E.; Wiehle, L.; Pfefferkorn, B.; et al. Wildlife as Sentinels of Antimicrobial Resistance in Germany? Front. Vet. Sci. 2021, 7, 627821. [Google Scholar] [CrossRef]
  53. Shane, A.L.; Mody, R.K.; Crump, J.A.; Tarr, P.I.; Steiner, T.S.; Kotloff, K.; Langley, J.M.; Wanke, C.; Warren, C.A.; Cheng, A.C.; et al. Infectious Diseases Society of America Clinical Practice Guidelines for the Diagnosis and Management of Infectious Diarrhea. Clin. Infect. Dis. 2017, 65, e45–e80. [Google Scholar] [CrossRef] [PubMed]
  54. Fang, F.C. Fluoroquinolone Resistance in Salmonella and the Utility of Perfloxacin Disk Diffusion. J. Clin. Microbiol. 2015, 53, 3401–3404. [Google Scholar] [CrossRef]
  55. Karp, B.E.; Tate, H.; Plumblee, J.R.; Dessai, U.; Whichard, J.M.; Thacker, E.L.; Hale, K.R.; Wilson, W.; Friedman, C.R.; Griffin, P.M.; et al. National Antimicrobial Resistance Monitoring System: Two Decades of Advancing Public Health Through Integrated Surveillance of Antimicrobial Resistance. Foodborne Pathog. Dis. 2017, 14, 545–557. [Google Scholar] [CrossRef]
  56. Cuypers, W.L.; Jacobs, J.; Wong, V.; Klemm, E.J.; Deborggraeve, S.; Van Puyvelde, S. Fluoroquinolone resistance in Salmonella: Insights by whole-genome sequencing. Microb. Genom. 2018, 4, e000195. [Google Scholar] [CrossRef] [PubMed]
  57. Redgrave, L.S.; Sutton, S.B.; Webber, M.A.; Piddock, L.J.V. Fluoroquinolone resistance: Mechanisms, impact on bacteria, and role in evolutionary success. Trends Microbiol. 2014, 22, 438–445. [Google Scholar] [CrossRef]
  58. Hernandez Rojas, R. Determination of antibiotic susceptibility profiles and blaCMY-2 and blaCTX-M genes in bacteria of the genus Salmonella isolated from three matrices of the Costa Rican poultry production chain. Licentiate Thesis, Universidad Nacional, Heredia, Costa Rica, 2022. [Google Scholar]
  59. Huertas Sánchez, G. Descriptive analysis of the prevalence and antimicrobial resistance of non-typhoid Salmonella enterica during the postpartum period of dairy cows in the Central and North Region of Costa Rica. Licentiate Thesis, Universidad Nacional, Heredia, Costa Rica, 2020. [Google Scholar]
  60. Ismael-Acle Esquivel, F. Prevalence of non-typhoidal Salmonella enterica in feces and lymphatic tissues of calves for human consumption in two harvest plants in Costa Rica. Licentiate Thesis, Universidad Nacional, Heredia, Costa Rica, 2020. [Google Scholar]
  61. Jimenez Madrigal, L. Prevalence and determination of antibiotic resistance profiles of non-typhoidal Salmonella enterica in the production chain of pigs for human consumption in Costa Rica. Licentiate Thesis, Universidad Nacional, Heredia, Costa Rica, 2022. [Google Scholar]
  62. Tijerino Ayala, A.; Oropeza Barrios, G.; Sanchez Salazar, L.M.; Vargas Morales, J.L.; Duarte Martinez, F.; Bolaños Acuña, H.M. Red Nacional de Laboratorios de Bacteriología. Informe de vigilancia basada en laboratorio: Salmonella spp.; Costa Rica. 2018. Available online: https://www.inciensa.sa.cr/vigilancia_epidemiologica/informes_vigilancia/2020/CNRB/Vigilancia%20de%20laboratorio%20de%20Salmonella%20spp.,%20Costa%20Rica%202018.pdf (accessed on 3 August 2022).
  63. García, V.; Montero, I.; Bances, M.; Rodicio, R.; Rodicio, M.R. Incidence and Genetic Bases of Nitrofurantoin Resistance in Clinical Isolates of Two Successful Multidrug-Resistant Clones of Salmonella enterica Serovar Typhimurium: Pandemic “DT 104” and pUO-StVR2. Microb. Drug Resist. 2017, 23, 405–412. [Google Scholar] [CrossRef]
  64. Ministerio de Salud de Costa Rica (MINSA). Consultation of Products Registered on the Platform (Nitrofurantoin). Available online: https://registrelo.go.cr/cfmx/ms/consultasPublicas/productos_Registrados/reporte.cfm (accessed on 4 April 2022).
  65. Lentz, S.A.M.; Dalmolin, T.V.; Barth, A.L.; Martins, A.F. Mcr-1 Gene in Latin America: How Is It Disseminated Among Humans, Animals, and the Environment? Front. Public Health 2021, 9, 222. [Google Scholar] [CrossRef]
  66. D’Incau, M.; Salogni, C.; Giovannini, S.; Ruggeri, J.; Scali, F.; Tonni, M.; Formenti, N.; Guarneri, F.; Pasquali, P.; Alborali, G.L. Occurrence of Salmonella Typhimurium and its monophasic variant (4, [5],12:i:-) in healthy and clinically ill pigs in northern Italy. Porc. Health Manag. 2021, 7, 34. [Google Scholar] [CrossRef] [PubMed]
  67. Centers for Disease Control and Prevention (CDC). National Salmonella Surveillance Annual Report, 2016; US Department of Health and Human Services, CDC.: Atlanta, GA, USA, 2018. Available online: https://www.cdc.gov/nationalsurveillance/pdfs/2016-Salmonella-report-508.pdf (accessed on 22 September 2022).
  68. Simpson, K.M.J.; Hill-Cawthorne, G.A.; Ward, M.P.; Mor, S.M. Diversity of Salmonella serotypes from humans, food, domestic animals and wildlife in New South Wales, Australia. BMC Infect. Dis. 2018, 18, 623. [Google Scholar] [CrossRef]
  69. Soyer, Y.; Switt, A.M.; Davis, M.A.; Maurer, J.; McDonough, P.L.; Schoonmaker-Bopp, D.J.; Dumas, N.B.; Root, T.; Warnick, L.D.; Gröhn, Y.T.; et al. Salmonella enterica Serotype 4,5,12:i:−, an Emerging Salmonella Serotype That Represents Multiple Distinct Clones. J. Clin. Microbiol. 2009, 47, 3546–3556. [Google Scholar] [CrossRef]
  70. Xiang, Y.; Li, F.; Dong, N.; Tian, S.; Zhang, H.; Du, X.; Zhou, X.; Xu, X.; Yang, H.; Xie, J.; et al. Investigation of a Salmonellosis Outbreak Caused by Multidrug Resistant Salmonella Typhimurium in China. Front. Microbiol. 2020, 11, 801. [Google Scholar] [CrossRef]
  71. McClure, H.M.; Brodie, A.R.; Anderson, D.C.; Brent Swenson, R. Bacterial Infections of Nonhuman Primates. In Primates: The Road to Self-Sustaining Populations; Benirschke, K., Ed.; Springer: New York, NY, USA, 1986; pp. 531–556. [Google Scholar]
  72. Anselmo, R.J.; Viora, S.; Barrios, H.; Terragno, R.; Alcaín, A.; Caffer, M.I. Serotypes of Salmonella isolated from the Luján River, Argentina. Rev. Lat. Microbiol. 1999, 41, 77–82. [Google Scholar]
  73. Kidie, D.H.; Bae, D.H.; Lee, Y.J. Prevalence and antimicrobial resistance of Salmonella isolated from poultry slaughterhouses in Korea. Jpn. J. Vet. Res. 2013, 61, 129–136. [Google Scholar] [PubMed]
  74. Raufu, I.A.; Odetokun, I.A.; Oladunni, F.S.; Adam, M.; Kolapo, U.T.; Akorede, G.J.; Ghali, I.M.; Ameh, J.A.; Ambali, A. Serotypes, antimicrobial profiles, and public health significance of Salmonella from camels slaughtered in Maiduguri central abattoir, Nigeria. Vet. World 2015, 8, 1068–1072. [Google Scholar] [CrossRef] [PubMed]
  75. Motsoela, C.; Collison, E.K.; Gashe, B.A. Prevalence of Salmonella in two Botswana abattoir environments. J. Food Prot. 2002, 65, 1869–1872. [Google Scholar] [CrossRef]
  76. Centers for Disease Control and Prevention (CDC). Multistate Outbreak of Salmonella Braenderup Infections Associated with Mangoes (Final Update). 2012. Available online: https://www.cdc.gov/Salmonella/braenderup-08-12/index.html#:~:text=CDC%20is%20collaborating%20with%20public,likely%20source%20of%20this%20outbreak (accessed on 3 August 2022).
  77. European Centre for Disease Prevention and Control (ECDC). Rapid Outbreak Assessment: Multi-Country Outbreak of Salmonella Braenderup ST22, Presumed to Be Linked to Imported Melons; European Centre for Disease Prevention and Control (ECDC): Solna, Sweden, 2021; Available online: https://www.ecdc.europa.eu/en/publications-data/rapid-outbreak-assessment-multi-country-outbreak-Salmonella-braenderup-st22 (accessed on 3 August 2022).
  78. Gajraj, R.; Pooransingh, S.; Hawker, J.I.; Olowokure, B. Multiple outbreaks of Salmonella braenderup associated with consumption of iceberg lettuce. Int. J. Environ. Health Res. 2012, 22, 150–155. [Google Scholar] [CrossRef]
  79. Gupta, S.K.; Nalluswami, K.; Snider, C.; Perch, M.; Balasegaram, M.; Burmeister, D.; Lockett, J.; Sandt, C.; Hoekstra, R.M.; Montgomery, S. Outbreak of Salmonella Braenderup infections associated with Roma tomatoes, northeastern United States, 2004: A useful method for subtyping exposures in field investigations. Epidemiol. Infect. 2007, 135, 1165–1173. [Google Scholar] [CrossRef]
  80. Reche, M.P.; Jiménez, P.A.; Alvarez, F.; García de los Rios, J.E.; Rojas, A.M.; de Pedro, P. Incidence of Salmonellae in captive and wild free-living raptorial birds in central Spain. J. Vet. Med. B Infect Dis. Vet. Public Health 2003, 50, 42–44. [Google Scholar] [CrossRef]
  81. Bertrand, S.; Dierick, K.; Heylen, K.; de Baere, T.; Pochet, B.; Robesyn, E.; Lokietek, S.; Van Meervenne, E.; Imberechts, H.; Zutter, L.; et al. Lessons Learned from the Management of a National Outbreak of Salmonella Ohio Linked to Pork Meat Processing and Distribution. J. Food Prot. 2010, 73, 529–534. [Google Scholar] [CrossRef] [PubMed]
  82. Soto, S.M.; Martínez, N.; Guerra, B.; González-Hevia, M.A.; Mendoza, M.C. Usefulness of genetic typing methods to trace epidemiologically Salmonella serotype Ohio. Epidemiol. Infect. 2000, 125, 481–489. [Google Scholar] [CrossRef] [PubMed]
  83. Poppe, C.; Martin, L.; Muckle, A.; Archambault, M.; McEwen, S.; Weir, E. Characterization of antimicrobial resistance of Salmonella Newport isolated from animals, the environment, and animal food products in Canada. Can. J. Vet. Res. 2006, 70, 105–114. [Google Scholar] [PubMed]
  84. Varma, J.K.; Marcus, R.; Stenzel, S.A.; Hanna, S.S.; Gettner, S.; Anderson, B.J.; Hayes, T.; Shiferaw, B.; Crume, T.L.; Joyce, K.; et al. Highly Resistant Salmonella Newport-MDRAmpC Transmitted through the Domestic US Food Supply: A FoodNet Case-Control Study of Sporadic Salmonella Newport Infections, 2002–2003. J. Infect. Dis. 2006, 194, 222–230. [Google Scholar] [CrossRef]
  85. Angelo, K.M.; Chu, A.; Anand, M.; Nguyen, T.-A.; Bottichio, L.; Wise, M.; Williams, I.; Seelman, S.; Bell, R.; Fatica, M.; et al. Outbreak of Salmonella Newport Infections Linked to Cucumbers—United States, 2014. MMWR Morb. Mortal. Wkly. Rep. 2015, 64, 144–147. [Google Scholar]
  86. Espié, E.; De Valk, H.; Vaillant, V.; Quelquejeu, N.; Le Querrec, F.; Weill, F.X. An outbreak of multidrug-resistant Salmonella enterica serotype Newport infections linked to the consumption of imported horse meat in France. Epidemiol. Infect. 2005, 133, 373–376. [Google Scholar] [CrossRef]
  87. Greene, S.K.; Daly, E.R.; Talbot, E.A.; Demma, L.J.; Holzbauer, S.; Patel, N.J.; Hill, T.A.; Walderhaug, M.O.; Hoekstra, R.M.; Lynch, M.F.; et al. Recurrent multistate outbreak of Salmonella Newport associated with tomatoes from contaminated fields, 2005. Epidemiol. Infect. 2008, 136, 157–165. [Google Scholar] [CrossRef]
  88. da Cunha-Neto, A.; Carvalho, L.A.; Castro, V.S.; Barcelos, F.G.; Carvalho, R.C.T.; Rodrigues, D.d.P.; Conte-Junior, C.A.; Figueiredo, E.E.d.S. Salmonella Anatum, S. Infantis and S. Schwarzengrund in Brazilian Cheeses: Occurrence and antibiotic resistance profiles. Int. J. Dairy Technol. 2020, 73, 296–300. [Google Scholar] [CrossRef]
  89. Hassan, R.; Rounds, J.; Sorenson, A.; Leos, G.; Concepción-Acevedo, J.; Griswold, T.; Tesfai, A.; Blessington, T.; Hardy, C.; Basler, C. Multistate Outbreak of Salmonella Anatum Infections Linked to Imported Hot Peppers—United States, May–July 2016. MMWR Morb. Mortal. Wkly. Rep. 2017, 66, 663–667. [Google Scholar] [CrossRef] [PubMed]
  90. Pakalniskiene, J.; Falkenhorst, G.; Lisby, M.; Madsen, S.B.; Olsen, K.E.P.; Nielsen, E.M.; Mygh, A.; Boel, J.; Mølbak, K. A foodborne outbreak of enterotoxigenic E. coli and Salmonella Anatum infection after a high-school dinner in Denmark. Epidemiol. Infect. 2006, 137, 396–401. [Google Scholar] [CrossRef] [PubMed]
  91. Quiroz-Santiago, C.; Rodas-Suárez, O.; Vázquez, Q.; Fernández, F.; Quiñones-Ramírez, E.; Vázquez-Salinas, C. Prevalence of Salmonella in Vegetables from Mexico. J. Food Prot. 2009, 72, 1279–1282. [Google Scholar] [CrossRef] [PubMed]
  92. Feng, Y.; Chang, Y.J.; Pan, S.C.; Su, L.H.; Li, H.C.; Yang, H.P.; Yu, M.J.; Chiu, C.H. Characterization and Source Investigation of Multidrug-Resistant Salmonella Anatum from a Sustained Outbreak, Taiwan. Emerg. Infect. Dis. J. 2020, 26, 2951–2955. [Google Scholar] [CrossRef]
  93. Dargatz, D.A.; Traub-Dargatz, J.L. Multidrug-resistant Salmonella and nosocomial infections. Vet. Clin. Equine Pract. 2004, 20, 587–600. [Google Scholar] [CrossRef]
  94. Balansard, I.; Cleverley, L.; Cutler, K.L.; Spångberg, M.G.; Thibault-Duprey, K.; Langermans, J.A. Revised recommendations for health monitoring of non-human primate colonies (2018): FELASA Working Group Report. Lab. Anime. 2019, 53, 429–446. [Google Scholar] [CrossRef]
  95. de Blas, I. inWpi: Working in Epidemiology. 2006. Available online: http://www.winepi.net (accessed on 3 October 2019).
  96. Fuentes, A. Detección molecular de especies de Plasmodium y bacterias del complejo Mycobacterium tuberculosis en primates no humanos en cautiverio de Costa Rica. Master’s Thesis, Universidad Nacional, Heredia, Costa Rica, April 2016. [Google Scholar]
  97. Muñoz-Vargas, L.; Finney, S.K.; Hutchinson, H.; Masterson, M.A.; Habing, G. Impact of Clinical Salmonellosis in Veal Calves on the Recovery of Salmonella in Lymph Nodes at Harvest. Foodborne Pathog. Dis. 2017, 14, 678–685. [Google Scholar] [CrossRef]
  98. Cardona-Castro, N.; Restrepo-Pineda, E.; Correa-Ochoa, M. Detection of hilA gene sequences in serovars of Salmonella enterica sufigbspecies enterica. Mem. Inst. Oswaldo. Cruz. 2002, 97, 1153–1156. [Google Scholar] [CrossRef]
  99. Centers for Disease Control and Prevention (CDC). Laboratory Standard Operating Procedure for PulseNet NexTera XT Library Prep and Run Setup for the Illumina MiSeq.:46. 2016. Available online: https://www.cdc.gov/pulsenet/pdf/pnl32-miseq-nextera-xt.pdf (accessed on 13 June 2022).
  100. Wellcome Trust. Genomic and Epidemiological Surveillance of Bacterial Pathogens Course Manual; Wellcome Trust: San Jose, Costa Rica, 2015. [Google Scholar]
  101. Jean-Gilles Beaubrun, J.; Cheng, C.M.; Chen, K.S.; Ewing, L.; Wang, H.; Agpaoa, M.C.; Huang, M.C.J.; Dickey, E.; Du, J.M.; Williams-Hill, D.M.; et al. The evaluation of a PCR-based method for identification of Salmonella enterica serotypes from environmental samples and various food matrices. Food Microbiol. 2012, 31, 199–209. [Google Scholar] [CrossRef] [PubMed]
  102. Minitab 19 Statistical Software (2022); Minitab, Inc.: State College, PA, USA, 2022; Available online: www.minitab.com (accessed on 2 May 2022).
Table 1. Frequency of Salmonella enterica recovered from non-human primate fecal samples in 10 wildlife centers in Costa Rica.
Table 1. Frequency of Salmonella enterica recovered from non-human primate fecal samples in 10 wildlife centers in Costa Rica.
Wildlife Center
Primate Species1 *234 *56789 *10Total
(%)
A. palliata--1/52/310/1--1/33/130/17/54 (12.9)
A. geoffroyi2/50/13/9-0/20/10/61/40/51/127/45 (15.5)
C. imitator-0/40/6-0/10/102/93/100/33/78/50 (16)
S. oerstedii1/20/5------2/24-3/31 (9.6)
Total (%)3/70/104/202/310/40/112/155/175/454/1925/180
(42.9)(0)(20)(6.5)(0)(0)(13.3)(29.7)(11.1)(21)(13.89)
A p-value ≤ 0.05 was considered significant in all comparisons. ANOVA test was used for comparisons between species (p = 0.855) and centers (p = 0.5). * Significant differences were observed between sites 1 and 4 (p = 0.024), 1 and 9 (p = 0.024), 4 and 9 (p = 0.047).
Table 2. Frequency of Salmonella enterica recovered from environmental surfaces in 10 wildlife centers.
Table 2. Frequency of Salmonella enterica recovered from environmental surfaces in 10 wildlife centers.
Wildlife Center
Surface Type12345678910Total
(% by Group)
1. Animal Contact *0/20/31/70/40/10/20/40/44/73/78/41 (19.5)
2. Human Contact *0/20/51/70/50/40/40/60/20/91/92/53 (3.8)
3. Mixed Contact1/30/40/30/20/40/30/11/42/71/85/39 (12.8)
Total (% Prevalence
per site)
1/70/122/170/110/90/90/111/106/235/2415/133
(14.3)(0)(11.8)(0)(0)(0)(0)(10)(26)(20.8)(11.27)
A p-value ≤ 0.05 was considered significant in all comparisons. ANOVA test was used for comparisons between surface type (p = 0.08) and centers (p = 0.09).* Significant difference was observed between Human Contact and Animal Contact (p = 0.027).
Table 3. Frequency of Salmonella enterica recovered from primate feed samples collected from CR wildlife centers.
Table 3. Frequency of Salmonella enterica recovered from primate feed samples collected from CR wildlife centers.
Wildlife Center
Feed Source Protein Type12345678910Total (% per Protein Type)
(p = 0.898)
Vegetable0/20/31/40/20/40/50/30/20/20/41/31 (3.22)
Animal
Mixed
0/20/20/10/2-0/20/1-0/2
0/1
-0/11 (0)
0/1 (0)
Total (% by site)
(p = 0.938)
0/40/51/50/40/40/70/40/20/51/41/43
(0)(0)(20)(0)(0)(0)(0)(0)(0)(0)(2.32)
Table 4. Characteristics of the population of 180 non-human primates included in the study.
Table 4. Characteristics of the population of 180 non-human primates included in the study.
VariableClassificationn(%)Positives (%)p-Value
SexFemale9150.5612 (48%)0.967
Male8949.4413 (52%)
Life stageInfant1810.002 (8%)
Youth2011.111 (4%)0.972
Adult14278.8922 (88%)
Stool consistencyNormal15586.1122 (88%)0.879
Abnormal2513.893 (12%)
Time under human care≤1 year3620.004 (16%)
>1 year–≤ 5 year4022.238 (32%)0.832
>5 year–≤ 10 year5329.448 (32%)
>10 year5128.335 (20%)
A p-value ≤ 0.05 was considered significant in all comparisons using ANOVA test.
Table 5. Frequency of susceptibility profiles based on minimum inhibitory concentration (MIC) values of 41 Salmonella isolates recovered from feces, feed, and environment.
Table 5. Frequency of susceptibility profiles based on minimum inhibitory concentration (MIC) values of 41 Salmonella isolates recovered from feces, feed, and environment.
Class(g/mL)0.10.30.60.120.250.512481620326476128256512
Antimicrobial
Beta-LactamsAmpicillin 41
Ampicillin sulbactam 41
Piperacillin/Tazobactam 41
Cefotaxime 41
Ceftazidime 41
Cefepime 41
Imipenem 41
Meropenem 41
AminoglycosidesAmikacin 39 2
Gentamicin 41
QuinolonesNalidixic acid 7313
Ciprofloxacin 356
NitrofuranNitrofurantoin 16 214
PolymyxinColistin 40 1
Folate AntagonistTrimethoprim sulfamethoxazole 41
The number in the table represents the number of isolates according to their MIC for each antibiotic. Vertical black lines represent the cut-off point for the characterization of susceptibility—susceptible to the left and non-susceptible to the right. Green color represents susceptible isolates, and gray represents non-susceptibles. Colistin has no color and no breakpoint line due to missing data [37].
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Rojas-Sánchez, E.; Jiménez-Soto, M.; Barquero-Calvo, E.; Duarte-Martínez, F.; Mollenkopf, D.F.; Wittum, T.E.; Muñoz-Vargas, L. Prevalence Estimation, Antimicrobial Susceptibility, and Serotyping of Salmonella enterica Recovered from New World Non-Human Primates (Platyrrhini), Feed, and Environmental Surfaces from Wildlife Centers in Costa Rica. Antibiotics 2023, 12, 844. https://doi.org/10.3390/antibiotics12050844

AMA Style

Rojas-Sánchez E, Jiménez-Soto M, Barquero-Calvo E, Duarte-Martínez F, Mollenkopf DF, Wittum TE, Muñoz-Vargas L. Prevalence Estimation, Antimicrobial Susceptibility, and Serotyping of Salmonella enterica Recovered from New World Non-Human Primates (Platyrrhini), Feed, and Environmental Surfaces from Wildlife Centers in Costa Rica. Antibiotics. 2023; 12(5):844. https://doi.org/10.3390/antibiotics12050844

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Rojas-Sánchez, Ernesto, Mauricio Jiménez-Soto, Elias Barquero-Calvo, Francisco Duarte-Martínez, Dixie F. Mollenkopf, Thomas E. Wittum, and Lohendy Muñoz-Vargas. 2023. "Prevalence Estimation, Antimicrobial Susceptibility, and Serotyping of Salmonella enterica Recovered from New World Non-Human Primates (Platyrrhini), Feed, and Environmental Surfaces from Wildlife Centers in Costa Rica" Antibiotics 12, no. 5: 844. https://doi.org/10.3390/antibiotics12050844

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