Abstract
Salmonella is an important cause of foodborne illness; however, quickly identifying the source of these infections can be difficult, and source identification is a crucial step in preventing additional illnesses. Although most infections are self-limited, invasive salmonellosis may require antimicrobial treatment. Ceftriaxone, an extended-spectrum cephalosporin, is commonly used for treatment of salmonellosis. Previous studies have identified a correlation between the food animal/retail meat source of ceftriaxone-resistant Salmonella and the type of resistance gene and plasmid it carries. In this study, we examined seven outbreaks of ceftriaxone-resistant Salmonella infections, caused by serotypes Typhimurium, Newport, Heidelberg, and Infantis. All isolates were positive for a plasmid-encoded blaCMY gene. Plasmid incompatibility typing identified five IncI1 and two IncA/C plasmids. Both outbreaks containing blaCMY-IncA/C plasmids were linked to consumption of cattle products. Three of five outbreaks with blaCMY-IncI1 (ST12) plasmids were linked to a poultry source. The remaining IncI1 outbreaks were associated with ground beef (ST20) and tomatoes (ST12). Additionally, we examined isolates from five unsolved clusters of ceftriaxone-resistant Salmonella infections and used our plasmid encoded gene findings to predict the source. Overall, we identified a likely association between the source of ceftriaxone-resistant Salmonella outbreaks and the type of resistance gene/plasmid it carries.
Introduction
Salmonella is estimated to be the leading cause of bacterial foodborne illness and outbreaks in the United States (1, 2). Infections are commonly due to the consumption of contaminated food (3). However, identifying the source of these infections can be difficult. This is especially important during outbreak investigations where rapid source identification is crucial for preventing additional illnesses. Although most infections are self-limited, invasive salmonellosis may require antimicrobial treatment (3). Ceftriaxone, an extended-spectrum cephalosporin, is commonly used for treatment of salmonellosis in both adults and children, and considerable research has been performed to identify the mechanisms of cephalosporin resistance in Salmonella (4).
In the U.S., cephalosporin resistance in Salmonella is mainly mediated by AmpC β-lactamases, encoded by blaCMY genes (5). These genes are commonly carried on various types of plasmids, which can be characterized by their incompatibility type. Previous work identified that CMY β-lactamase-encoding plasmids in Salmonella isolated from humans in the U.S. tended to be large multidrug-resistant (MDR) IncA/C plasmids or single resistance determinant IncI1 plasmids (6). More importantly, blaCMY-IncI1 plasmids were much more common among Salmonella serotypes commonly associated with poultry, for example serotype Heidelberg, while blaCMY-IncA/C plasmids were more likely to be identified among cattle/beef associated serotypes, for example serotype Newport (7). A follow up study examined blaCMY plasmid types among Salmonella ser. Typhimurium, a serotype found among diverse sources including poultry and cattle (6). This study found a strong correlation between blaCMY plasmid type and the source of Typhimurium isolates, suggesting that blaCMY plasmid type may be a useful indicator of possible source of infection during outbreaks.
In the U.S., clusters of human infections caused by enteric bacteria are detected through PulseNet, the national molecular subtyping network, coordinated by the U.S. Centers for Disease Control and Prevention (CDC). Local, state, and federal partners identify the common source of infections for these clusters based on epidemiologic and laboratory investigations. CDC’s National Antimicrobial Resistance Monitoring System (NARMS) receives clinical isolates from public health laboratories for antimicrobial susceptibility testing. In this study, we examined clinical isolates from seven outbreaks and five clusters of ceftriaxone-resistant Salmonella infections in the United States during 2011–2012 and characterized the ceftriaxone resistance genes and their corresponding plasmids.
Methods
Epidemiologic data source
We defined a cluster as human infections caused by enteric bacteria with matching pulsed-field gel electrophoresis (PFGE) patterns which are more than would be expected during a given time period and geographic area. PulseNet assigns a standardized code to isolates that are associated with each cluster. State and local public health officials interview case-patients with standard questionnaires to collect information regarding the source of their infections. CDC’s Outbreak Response and Prevention Branch (ORPB) enteric disease cluster management database was used to find additional information for clusters. We defined an outbreak as the occurrence of two or more cases of a similar illness resulting from a common source. Enteric disease outbreaks are notifiable events that should be reported to the National Outbreak Reporting System (NORS), which is a web-based platform used by local, state, and territorial health departments in the United States to report all foodborne and waterborne disease outbreaks and enteric disease outbreaks transmitted by contact with environmental sources, and infected persons or animals to CDC. Outbreak reports submitted to NORS include information on the implicated source of infection.
Isolate collection and testing
During January 2011–June 2011, CDC asked state public health laboratories to submit representative clinical isolates from single-state outbreaks caused by Salmonella serotypes Enteritidis, Newport, and Typhimurium to NARMS. Additionally, the ten participating health departments in CDC’s Foodborne Diseases Active Surveillance Network (FoodNet) were asked to submit isolates from single-state outbreaks caused by any Salmonella serotype (8). Beginning in July 2011, CDC asked all participating public health laboratories to submit isolates from single-state outbreaks of all Salmonella serotypes. For multistate outbreaks, CDC contacted states involved to request isolates. The PulseNet-assigned standardized code for each isolate was used to link to epidemiologic data collected in NORS and to resistance data collected in NARMS.
Antimicrobial susceptibility testing was performed by broth microdilution (Sensititre®, Cleveland, Ohio) and used to determine minimum inhibitory concentrations for 15 antimicrobial agents; ampicillin, amoxicillin-clavulanic acid, azithromycin, cefoxitin, ceftiofur, ceftriaxone, chloramphenicol, ciprofloxacin, gentamicin, kanamycin, nalidixic acid, streptomycin, sulfisoxazole, tetracycline, and trimethoprim-sulfamethoxazole (9). Resistance was defined by the Clinical and Laboratory Standards Institute (CLSI) interpretive standards, when available (10). For streptomycin, where no CLSI interpretive criteria for human isolates exist, resistance was defined as ≥64 mg/L. Testing was performed according to the manufacturer’s instructions and the following quality control strains; E. coli ATCC 25922, Staphylococcus aureus ATCC 29213, Enterococcus faecalis ATCC 29212, and Pseudomonas aeruginosa ATCC 27853.
Two enzyme (XbaI and BlnI) PFGE was performed according to the CDC PulseNet protocol.(11) Isolates were grown overnight on Trypticase Soy Agar with 5% defibrinated sheep blood (TSA-SB) (Becton Dickinson Biosciences). Bacterial cell concentration was adjusted by diluting with sterile cell suspension buffer (100 mM Tris, 100 mM EDTA, pH 8.0) to a turbidity measurement of 0.48–0.52 (Dade Microscan Tubidity Meter). Agarose-embedded cells were lysed by proteinase K treatment and extensively washed. Agarose plugs containing genomic DNA were digested with 50U of XbaI and BlnI restriction enzymes (New England Biolabs, Ipswich, MA) and incubated at 37°C for 2 hours. The fragments were then separated by PFGE using a CHEF Mapper (Bio-Rad Laboratories) with the following conditions and reagents: 1% SeaKem Gold agarose in 0.5% TBE buffer, voltage at 6 V/cm, run time at 18 hours with switch times ranging from 2.16 to 63.8 seconds, temperature at 14°C. Salmonella enterica ser. Braenderup H9812 was used as a molecular reference marker. PFGE profiles generated were submitted to the PulseNet national database administered by CDC. Gel images were captured using the GelDoc XR system (Bio-Rad Laboratories) and Quantity One 1-D analysis software (Bio-Rad Laboratories). Pattern analysis and UPGMA dendrogram generation were performed using BioNumerics software (Applied Maths, Saint-Martens-Latem, Belgium) with the Dice coefficient and tolerance of 1.5%.
Isolate selection
We selected one representative isolate from each cluster or outbreak of ceftriaxone-resistant Salmonella from 2011 and 2012, based on the PulseNet-assigned standardized code. After these isolates were further characterized, we queried NORS to determine the source of the outbreak associated with each and the enteric disease cluster management database to determine suspected sources.
PCR amplification of blaCMY
For each isolate, DNA template for PCR was prepared by lysing the bacteria at 95°C and collecting the supernatant following centrifugation for 10 min at 20,000 g (Sorvall RC5B Plus, SS-34 rotor, Thermo Fischer Scientific Inc., Waltham, MA). PCR reactions contained 2x HotStar PCR Master Mix (Qiagen Inc., Valencia, CA), 0.4μM of each primer, 5μl template DNA and sterile PCR water to a final volume of 50μl. Thermal cycling was performed using the following conditions: 15 min at 95˚C, followed by 30 cycles of 95˚C for 30 s, 56˚C for 30 s and 72˚C for 90 s. To determine the presence of blaCMY genes, primers ampC1 (5′-ATGATGAAAAAATCGTTATGC-3′) and ampC2 (5′-TTGCAGCTTTTCAAGAATGCGC-3′) were used (5). PCR products were electrophoresed and visualized in 1.5% agarose gels containing 2.5% GelRed (Biotium Inc., Hayward, CA). Gel images were captured using the GelDoc XR system (Bio-Rad Laboratories) and Quantity one 1-D analysis software (Bio-Rad Laboratories).
Plasmid purification and characterization
Purified plasmid DNA was used to transform laboratory Escherichia coli, in order to separate the blaCMY plasmids from other plasmid types prior to replicon typing, and for plasmid multi-locus sequence typing (pMLST). Plasmids were purified using the QiaFilter Midi kit (Qiagen Inc.), following a modified manufacturer’s protocol (12). Electroporation of each plasmid into E. coli DH10B Electromax competent cells (Invitrogen, Carlsbad, CA) was performed as previously described (7). Cells were plated on LB agar plates containing 100 mg/L of ampicillin or 4 mg/L ceftriaxone (Sigma-Aldrich, St. Louis, MO). Plasmids were re-purified from a single blaCMY PCR-positive transformant to isolate a single plasmid from each isolate. Purification was performed as described above with the additional modification of growing the cells overnight in 25 ml of LB broth with 100 mg/L of ampicillin or 4 mg/L ceftriaxone. Antimicrobial susceptibility of transformants was performed as described above. Plasmid PCR-based replicon typing (PBRT) was performed as previously described (13). Plasmid multi-locus sequence typing was performed on IncI1 plasmids as previously described (14). Sequencing was performed using Big Dye version 3.1 (Applied Biosystems, Foster City, CA) and sequence reactions were cleaned with Centri-sep plates (Princeton Separations, Adelphia, NJ). The reactions were electrophoresed through POP-7 polymer (Applied Biosystems) on a 3730 DNA Analyzer (Applied Biosystems) equipped with a 48-capillary, 50 cm array. Sequence analysis was performed using Lasergene 8 software (DNASTAR Inc, Madison, WI). Sequences were submitted to the plasmid multi locus sequence type (pMLST) web page (http://pubmlst.org/plasmid/) and the sequence type (ST) was determined.
Results
From 2011–2012, we tested isolates from 114 Salmonella clusters or outbreaks, 12 (10.5%) of which were resistant to ceftriaxone. Among these 12, seven met the definition of an outbreak (Table 1) and five were clusters with an unknown source (Table 2).
Table 1.
Characterization of the blaCMY plasmids identified among Salmonella outbreak isolates
Representative isolate | State/year | Serotype | Source of infectiona | Plasmid type | Antimicrobial resistanceb | Sequence type |
---|---|---|---|---|---|---|
2011K-1273 | CA/2011 | Typhimurium | Beef carne asada | IncA/C | AMC AMP AXO FOX TIO CHL FIS STR TET | - |
2012K-1456 | CA/2012 | Typhimurium | Beef stew | IncA/C | AMC AMP AXO FOX TIO CHL FIS STR TET | - |
2012K-1420 | WA/2012 | Heidelberg | Chicken | IncI1 | AMC AMP AXO FOX TIO | ST12 |
2011K-1230 | NY/2011 | Heidelberg | Chicken livers | IncI1 | AMC AMP AXO FOX TIO | ST12 |
2012K-0593 | SD/2012 | Infantis | Live Poultry | IncI1 | AMC AMP AXO FOX TIO | ST12 |
2011K-1828 | VT/2011 | Typhimurium | Ground Beef | IncI1 | AMC AMP AXO FOX TIO | ST20 |
2012K-0781 | PA/2012 | Newport | Tomatoes | IncI1 | AMC AMP AXO FOX TIO | ST12 |
Source of infection reported to NORS
Resistance conferred by the plasmids. AMC, amoxicillin/clavulanic acid; AMP, ampicillin; AXO, ceftriaxone; FOX, cefoxitin; TIO, ceftiofur; CHL, chloramphenicol; FIS, sulfisoxazole; KAN, kanamycin; STR, streptomycin; TET, tetracycline. Additionally, all transformants were resistant to streptomycin due to the natural resistance of DH10B cells.
Table 2.
Characterization of blaCMY plasmids identified among isolates from clusters of Salmonella infections
Representative isolate | State/year | Serotype | Source of infectiona | Plasmid type | Antimicrobial resistanceb | Sequence type |
---|---|---|---|---|---|---|
2012K-0664 | CA/2012 | Newport | Unknown | IncA/C | AMC AMP AXO FOX TIO CHL FIS STR TET | - |
2012K-0135 | UT/2012 | Newport | Unknown | IncA/C | AMC AMP AXO FOX TIO CHL FIS STR TET | - |
2012K-0505 | CA/2012 | Typhimurium | Unknown | IncA/C | AMC AMP AXO FOX TIO CHL FIS STR TET | - |
2012K-0725 | IA/2012 | Thompson | Unknown | IncI1 | AMC AMP AXO FOX TIO | ST12 |
2012K-0283 | MA/2012 | Enteritidis | Unknown | IncK/B | AMC AMP AXO FOX TIO | - |
Epidemiologic investigations were unable to implicate a source of infection
Resistance conferred by the plasmids. AMC, amoxicillin/clavulanic acid; AMP, ampicillin; AXO, ceftriaxone; FOX, cefoxitin; TIO, ceftiofur; CHL, chloramphenicol; FIS, sulfisoxazole; KAN, kanamycin; STR, streptomycin; TET, tetracycline. Additionally, all transformants were resistant to streptomycin due to the natural resistance of DH10B cells.
Of the 7 ceftriaxone-resistant Salmonella outbreaks, four serotypes were identified, including Heidelberg, Infantis, Newport, and Typhimurium. All seven isolates were PCR-positive for a blaCMY gene, which confers resistance to ceftriaxone (and additional β-lactams) and all seven blaCMY genes were plasmid-encoded (Table 1). Plasmid incompatibility typing of purified blaCMY-plasmids identified five IncI1 plasmids and two IncA/C plasmids. Antimicrobial susceptibility testing of the transformants showed that all of the blaCMY-IncA/C plasmids conferred an MDR phenotype, with additional resistance to chloramphenicol, sulfisoxazole, and tetracycline (and possibly streptomycin). In all seven isolates, phenotypic resistance was conferred by the blaCMY-encoding plasmids. Plasmid type was not restricted to serotype, as serotype Typhimurium had representatives that contained IncA/C or IncI1 plasmid types. Among five IncI1 positive outbreaks, consumption of poultry products or contact with live poultry was implicated in three (60%); all three IncI1 plasmids were ST12. The remaining two IncI1 outbreaks were associated with beef (ST20) and tomatoes (ST12). Of the two blaCMY-IncA/C positive outbreaks, both implicated cattle products (beef). All of the blaCMY-IncI1 plasmids conferred only the blaCMY-associated resistance phenotype, suggesting it was the only antimicrobial resistance determinant located on the plasmids.
Among the five unsolved clusters of ceftriaxone-resistant Salmonella infections (Table 2), four serotypes were identified, including Enteritidis, Newport, Thompson, and Typhimurium. All five representative isolates from these clusters were PCR-positive for a blaCMY gene and all were plasmid-encoded. Plasmid incompatibility typing of purified blaCMY-plasmids identified three IncA/C plasmids, one IncI1 plasmid, and one IncK/B plasmid. The blaCMY-IncI plasmid (ST12) and the blaCMY-IncK/B conferred only the blaCMY-associated resistance phenotype, suggesting it was the only antimicrobial resistance determinant located on the plasmids. Antimicrobial susceptibility testing of the transformants showed that all blaCMY-IncA/C plasmids conferred an MDR phenotype. All five isolates all phenotypic resistance observed was conferred by the blaCMY-encoded plasmids.
Discussion
The identification and characterization of resistance determinants and the plasmids which carry them may be an additional tool in identifying the source of Salmonella outbreaks and particularly helpful in unsolved clusters. For the seven solved ceftriaxone-resistant Salmonella outbreaks, we found a correlation of resistance determinants and plasmids with the source of the outbreaks (i.e. blaCMY-IncA/C with beef and blaCMY-IncI1 with poultry). For the five clusters, we were able to predict a source of infection, based on the resistance determinants and plasmids that were identified, but this is impossible to confirm without additional epidemiological data.
Of the two ceftriaxone-resistant Salmonella outbreaks containing blaCMY-IncA/C plasmids, both were linked to consumption of cattle products (beef). Two clusters of an unknown source were serotype Newport, and had the plasmid type (IncA/C) and the resistance phenotype (AmpC-ACSSuT) that are indicative of an MDR-AmpC Newport strain, which has been common among cattle and outbreaks associated with consumption of beef products (15, 16). Another cluster of an unknown source was serotype Typhimurium, a serotype associated with multiple food and environmental sources, but this isolate contained the same blaCMY-IncA/C plasmid and AmpC-ACSSuT phenotype, which has commonly been linked to consumption of beef or exposure to cattle (6).
Three of the outbreaks linked to poultry sources had isolates with blaCMY-IncI1 (ST12) plasmids, which are common to poultry; as did one cluster of an unknown source (17). Moreover, this cluster was caused by serotype Thompson, a serotype that is commonly found among poultry. Given this plasmid/sequence type and serotype combination, it suggests a poultry vehicle (18). The outbreak due to serotype Newport that was linked to tomatoes also contained a blaCMY-IncI1 (ST12) plasmid. While serotype Newport is commonly associated with cattle, this plasmid type and resistance pattern is not typical of Newport from cattle (MDR-AmpC). Serotype Newport has also been found in previous outbreaks linked to tomatoes (19). These Newport outbreaks due to tomatoes may be caused by on farm contamination, with diverse sources of environmental Salmonella, including wild birds (19). Most of the previous Salmonella Newport outbreak isolates linked to tomatoes have been susceptible to cephalosporins; however the Newport from this outbreak was drug-resistant (19). Another outbreak, caused by serotype Typhimurium from ground beef, contained isolates which had a blaCMY-IncI1 plasmid. This does not correlate with previous studies which show that this plasmid type is usually associated with poultry (6). However, the blaCMY-IncI1 plasmid was ST20, which is not a common ST for IncI1 plasmids from poultry. In fact, we have only seen this ST once previously and it was a blaCMY-IncI1 plasmid from a clinical isolate of E. coli O157:H7 (20). The epidemiologic investigation of this outbreak identified the food vehicle as ground beef from a specific grocery store. However, the store in question was grinding a variety of meat (not only beef) on the premises and grind/cleaning records were incomplete. It is possible that the Salmonella serotype Typhimurium may have come from cross-contamination from another source or may have acquired the blaCMY-IncI1 plasmid from another Enterobacteriaceae in the meat, possibly an E. coli. Lastly, one cluster of unknown source was serotype Enteritidis and contained a blaCMY-IncK/B plasmid. This was the first time we have observed a blaCMY-IncK/B plasmid among U.S. Salmonella, making it impossible for us to predict a source. However, blaCMY-IncK/B plasmids have been observed among E. coli in Canada from both clinical and environmental sources (beaches and drinking water), suggesting that it may not be linked to a specific source (21, 22).
Overall, we identified concordance between the source of infection in ceftriaxone-resistant Salmonella outbreaks and the type of resistance gene/plasmid. IncA/C plasmids tend to indicate a cattle source and IncI1 plasmids tend to indicate a poultry source, but sequence types of IncI1 other than ST12 may indicate sources other than poultry. While this supports our hypothesis from our previous studies, we were limited by only being able to examine a small number of outbreaks. We used resistance determinants and plasmids to predict the source of the five unsolved clusters. It should also be noted that while this investigation utilized more traditional molecular techniques (e.g. antimicrobial susceptibility testing, PCR, plasmid purification and plasmid incompatibility typing), these methods tend to be more labor intensive than the newer next generation sequencing technologies and whole genome sequencing (WGS) analysis, which could have generated data quicker. Both CDC-PulseNet and some local and state health departments are beginning to perform WGS of Salmonella in real-time which will allow for more rapid molecular investigation of outbreaks. This will help public health and regulatory agencies to quickly identify the sources of antimicrobial resistant outbreaks so that rapid action can be taken to prevent additional infections. While a specific antimicrobial resistance gene and plasmid type may be useful to help identify food sources in future antimicrobial resistant Salmonella outbreaks, it is only one aspect of an outbreak investigation. For each outbreak, many facets need to be considered including patient exposure and other epidemiologic data, serotype, PFGE analysis, antimicrobial resistance data, and resistance gene/plasmid type.
Acknowledgments
We thank the NARMS participating public health laboratories for submitting the isolates and PulseNet for identifying outbreaks. We also thank Matt Wise and Kelly Walsh for their assistance in providing the outbreak data. This work was partially supported by an interagency agreement between CDC, USDA, and the FDA Center for Veterinary Medicine.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the CDC.
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