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. 2021 Nov 17;9(3):e01980-21. doi: 10.1128/Spectrum.01980-21

Antimicrobial Resistance in Enterococcus Spp. Isolated from a Beef Processing Plant and Retail Ground Beef

Devin B Holman a,, Cassidy L Klima b,*, Katherine E Gzyl a, Rahat Zaheer b, Cara Service a, Tineke H Jones a, Tim A McAllister b,
Editor: Sophia Johlerc
PMCID: PMC8597637  PMID: 34787441

ABSTRACT

Antimicrobial use in food-producing animals has come under increasing scrutiny due to its potential association with antimicrobial resistance (AMR). Monitoring of AMR in indicator microorganisms such as Enterococcus spp. in meat production facilities and retail meat products can provide important information on the dynamics and prevalence of AMR in these environments. In this study, swabs or samples were obtained from various locations in a commercial beef packing operation (n = 600) and from retail ground beef (n = 60) over a 19-month period. All samples/swabs were enriched for Enterococcus spp., and suspected enterococci isolates were identified using species-specific PCR primers. Enterococcus faecalis was the most frequently isolated species, followed by Enterococcus hirae, which was found mostly on post-hide removal carcasses and in ground beef. Enterococcus faecium (n = 9) and E. faecalis (n = 120) isolates were further characterized for AMR. Twenty-one unique AMR profiles were identified, with 90% of isolates resistant to at least two antimicrobials and two that were resistant to nine antimicrobials. Tetracycline resistance was observed most often in E. faecalis (28.8%) and was likely mediated by tet(M). Genomic analysis of selected E. faecalis and E. faecium isolates revealed that many of the isolates in this study clustered with other publicly available genomes from ground beef, suggesting that these strains are well adapted to the beef processing environment.

IMPORTANCE Antimicrobial resistance (AMR) is a serious challenge facing the agricultural industry. Understanding the flow of antimicrobial-resistant bacteria through the beef fabrication process and into ground beef is an important step in identifying intervention points for reducing AMR. In this study, we used enterococci as indicator bacteria for monitoring AMR in a commercial beef packaging facility and in retail ground beef over a 19-month period. Although washing of carcasses post-hide removal reduced the isolation frequency of Enterococcus spp., a number of antimicrobial-resistant Enterococcus faecalis isolates were recovered from ground beef produced in the packaging plant. Genome analysis showed that several E. faecalis isolates were genetically similar to publicly available isolates recovered from retail ground beef in the United States.

KEYWORDS: Enterococcus, beef, antimicrobial resistance, abattoir, multidrug resistance

INTRODUCTION

Enterococcus spp. are often used as indicators of fecal contamination due to their association with the mammalian gastrointestinal tract and persistence in the environment (1). The concentration of enterococci in the feces of cattle varies but is typically around 104 to 105 CFU g−1 (2, 3), and microbial contamination of beef carcasses can happen during hide removal and evisceration in beef processing facilities (4). Previous studies have reported that Enterococcus spp. are prevalent in ground beef samples in North America (58), but less information is available regarding the prevalence of enterococci in beef processing environments.

Presently, there are more than 60 species of Enterococcus and two subspecies (LPSN; http://www.bacterio.net), with Enterococcus faecalis and Enterococcus faecium associated most frequently with ground beef (5, 6). These species are considered commensal microorganisms in humans; however, certain E. faecalis and E. faecium strains are responsible for serious nosocomial infections and vancomycin-resistant enterococci (VRE) strains are particularly difficult to treat (9, 10) due to limited antimicrobial treatment options. Many enterococci are intrinsically resistant to several antimicrobials and can also acquire resistance through horizontal gene transfer and point mutations (11, 12).

Feedlots in North America have traditionally administered antimicrobials to cattle to prevent and treat disease (13). This includes classes of antimicrobials that are also used in human medicine, such as β-lactams, fluoroquinolones, macrolides, and tetracyclines (14, 15). There is concern that the use of antimicrobials in food-producing animals selects for antimicrobial-resistant bacteria that may be disseminated to humans through consumption of food and the environment (16). Additionally, antimicrobial-resistant strains of E. faecium isolated from meat have transiently colonized the human gastrointestinal tract when consumed in challenge experiments (17), and transfer of the tetracycline resistance gene, tet(M), from an E. faecium strain of meat origin to human clinical enterococci isolates has been demonstrated in vitro (18). The culturability and ubiquity of Enterococcus spp. in cattle make them ideal for monitoring antimicrobial resistance (AMR) in beef processing facilities and retail products.

Therefore, in this study we isolated enterococci from samples taken from a commercial beef processing facility over a 19-month period and from retail ground beef in Alberta. The objective was to determine the prevalence of enterococci on pre- and postwashed carcasses, on the conveyor belt area transporting beef cuts, and in ground beef produced within the beef plant and to characterize AMR in E. faecalis and E. faecium isolates recovered from these samples. We also wanted to assess how related certain E. faecalis and E. faecium isolates from this study were to each other and to a selection of publicly available E. faecalis and E. faecium genomes from various sources.

RESULTS

Enterococcus species distribution and prevalence.

Ten different Enterococcus species were isolated from swabs and ground beef samples, with E. faecalis, Enterococcus hirae, and E. faecium recovered most frequently (Table 1). Within the beef processing facility, the carcasses after hide removal and the ground beef yielded the greatest number of samples positive for enterococci. E. faecalis was the only species from all five sampling locations. The number of positive samples collected during the 15 different visits to the processing facility varied as well (Table S1). In 6 samples (out of 660), more than one Enterococcus sp. was identified (data not shown). Overall, enterococci were recovered from 39.0% of all samples from the facility using nonselective media, but on three separate sampling dates less than 20% of samples were positive. Only 14.2% of beef plant samples were positive for enterococci when grown on Enterococcosel agar supplemented with 8 μg erythromycin mL−1 (Table S1). Among these isolates from the selective media, E. hirae was predominant.

TABLE 1.

Distribution and prevalence of Enterococcus spp. in swabs and samples from four different locations in a beef processing facility (n = 150) and in retail ground beef (n = 60); values represent the number of positive swabs or samples from nonselective media, and numbers in parentheses indicate the number of positive samples from selective (erythromycin) media

Species No. positive swabs/samples from nonselective media (no. from selective media):
After hide removal After final washing Conveyor belt Ground beef from processing facility Ground beef from retail
Enterococcus faecalis 31 (1) 11 11 117 (2) 42 (1)
Enterococcus hirae 40 (38) 0 (3) 0 1 (30) 7 (10)
Enterococcus faecium 2 (2) 1 (1) 0 0 (5) 5 (2)
Enterococcus raffinosus 0 0 1 0 (1) 0
Enterococcus malodoratus 2 2 2 0 0
Enterococcus durans 5 (2) 0 0 0 0
Enterococcus gallinarum 0 (1) 0 0 0 1
Enterococcus casseliflavus 3 0 0 0 0
Enterococcus avium 0 0 0 0 1

The frequency of detection of enterococci on antibiotic-free Enterococcosel agar was similar for ground beef from the processing facility and that from retail locations (P > 0.05). Postwashed carcasses and the conveyor belt also did not differ in detection frequency (P > 0.05). The proportion of post-hide removal carcass samples positive for Enterococcus spp. was significantly higher than that of the postwashed carcasses and conveyor belt samples positive for Enterococcus spp. but also significantly lower than that of ground beef from the processing facility and retail locations positive for Enterococcus spp. (P < 0.05). However, on media supplemented with erythromycin, the frequency of enterococci isolation was similar among the ground beef samples and post-hide removal carcass swabs (P < 0.05). Recovery of enterococci from the postwash carcasses and conveyor belt was significantly less frequent on antibiotic-selective media than recovery of those from the other three sample types (P < 0.05) (Table S1).

Antimicrobial susceptibility and detection of antimicrobial resistance genes.

Antimicrobial susceptibility testing was done on 120 E. faecalis and 9 E. faecium isolates using 16 different antimicrobials (Table S2). These isolates were randomly chosen to ensure that all location/sample types and sampling dates were covered and included isolates from Enterococcosel agar supplemented with erythromycin, as well. Nearly all E. faecalis isolates (erythromycin-supplemented and erythromycin-free media) were resistant to lincomycin (97.4%) and quinupristin-dalfopristin (93.2%) (Table 2; Table S2). Phenotypic resistance to ciprofloxacin (11.1%), erythromycin (12.8%), tetracycline (31.6%), and tylosin (6.8%) was also noted in several E. faecalis isolates. Although there were fewer E. faecium isolates available for testing, the AMR phenotypes were similar to E. faecalis with the exception of ciprofloxacin resistance, which was not observed in any of the E. faecium strains (Table S2). Two E. faecalis isolates (H11 and H22) from the carcasses after hide removal were resistant to nine antimicrobials, and one (G69E) from ground beef was resistant to six. Only one Enterococcus isolate was susceptible to all 16 antimicrobials tested, with no resistance recorded for linezolid, penicillin, or vancomycin in any of the isolates.

TABLE 2.

Antimicrobial susceptibility for E. faecalis (n = 111) isolated on nonselective media by antimicrobial and isolation sourcea

Antimicrobial class Percentage of resistant isolates (total no. of isolates):
Antimicrobialb After hide removal (H) After final washing (W) Conveyor belt (C) Ground beef from processing facility (G) Ground beef from retail (R) Total
Aminoglycosides GEN 11.1% (2) 0 0 0 0 1.8% (2)
KAN 11.1% (2) 0 0 0 0 1.8% (2)
STR 11.1% (2) 0 0 0 0 1.8% (2)
Fluoroquinolones CIP 5.6% (1) 0 28.6% (2) 11.8% (4) 11.6% (5) 10.8% (12)
Lincosamides LIN 100% (18) 100% (9) 100% (7) 94.1% (32) 97.7% (42) 97.3% (108)
Lipopeptides DAP 0 0 0 5.9% (2) 0 1.8% (2)
Macrolides ERY 11.1% (2) 11.1% (1) 0 14.7% (5) 4.6% (2) 9.0% (10)
TYL 11.1% (2) 0 0 2.9% (1) 2.3% (1) 3.6% (4)
Phenicols CHL 11.1% (2) 0 0 0 0 1.8% (2)
Streptogramins SYN 94.4% (17) 77.7% (7) 100% (7) 94.1% (32) 93.0% (40) 92.8% (103)
Tetracyclines TET 11.1% (2) 11.1% (1) 14.3% (1) 50.0% (17) 25.6% (11) 28.8% (32)
a

Values represent percentage of isolates that are resistant and numbers in parentheses indicate total number of isolates. None of the isolates were resistant to linezolid, nitrofurantoin, penicillin, tigecycline, or vancomycin.

b

CHL, chloramphenicol; CIP, ciprofloxacin; DAP, daptomycin; ERY, erythromycin; GEN, gentamicin; KAN, kanamycin; LIN, lincomycin; STR, streptomycin; SYN, quinupristin-dalfopristin; TET, tetracycline; TYL, tylosin.

Among the 119 E. faecalis and 9 E. faecium isolates displaying phenotypic resistance to at least one antimicrobial, there were 21 unique AMR profiles (Table S3). The most common AMR profiles included resistance to quinupristin-dalfopristin and lincomycin (52.3%; 67) and quinupristin-dalfopristin, lincomycin, and tetracycline (20.3%; 26). The E. faecalis and E. faecium isolates were also screened for the presence of erm(B), msrC, tet(B), tet(C), tet(L), tet(M), vanA, vanB, and vanC1 via PCR. The tet(M) (26.5%) and erm(B) (7.7%) genes were detected most frequently in E. faecalis and msrC (75.0%) and erm(B) (16.7%) in E. faecium. None of the van genes or tet(C) were found among these isolates. Of those E. faecalis isolates with phenotypic resistance to either erythromycin or tylosin, 47% carried the erm(B) gene, and the tet(L) or tet(M) genes were detected in 89% of those resistant to tetracycline (Table S2). In only one E. faecalis isolate was erm(B), tet(L), or tet(M) detected without corresponding phenotypic resistance.

Genome analysis.

Forty-seven E. faecalis and eight E. faecium isolates were selected for whole-genome sequencing based on their AMR profiles and sample origin. The assembly statistics for these sequenced genomes are reported in Holman et al. (19) and Table S4. The size of the E. faecalis and E. faecium genomes ranged from 2,647,103 to 3,246,301 bp and 2,507,908 to 2,761,265 bp, respectively.

Antimicrobial resistance genes within genome assemblies.

We screened the E. faecalis and E. faecium assemblies for antimicrobial resistance genes (ARGs) using the CARD RGI (Comprehensive Antibiotic Resistance Database Resistance Gene Identifier) and identified 15 different ARGs conferring resistance to 8 different antimicrobial classes. Similar to the PCR-based screening of select ARGs, tet(M) (31.9%) and erm(B) (8.5%) were found most often within E. faecalis genomes (Table 3). The genes efrA, efrB, emeA, and lsa(A), which encode multidrug efflux pumps (20, 21), were identified in all E. faecalis genomes, as was dfrE, a dihydrofolate reductase gene conferring resistance to diaminopyrimidine. Although the efrAB and emeA genes have been reported to increase the MIC of ciprofloxacin in transformed Escherichia coli strains (21, 22), the MIC values in those studies were well below the 4 μg mL−1 MIC breakpoint for resistance. Therefore, it appears unlikely that these genes contribute to clinical resistance to ciprofloxacin or any of the other antimicrobials tested against E. faecalis.

TABLE 3.

Antimicrobial resistance genes identified in sequenced Enterococcus faecalis (n = 47) and Enterococcus faecium (n = 8) genomes

Gene Product Target Percentage (no. genomes):
E. faecalis E. faecium
aac(6′)-Ii Acetyltransferase Aminoglycosides 0 100% (8)
ant(6)-Ia Nucleotidyltransferase Aminoglycosides 4.3% (2) 0
ant(9)-Ia Nucleotidyltransferase Aminoglycosides 0 12.5% (1)
aph(3′)-IIIa Phosphotransferase Aminoglycosides 4.3% (2) 0
lnuG Nucleotidyltransferase Lincosamides 2.1% (1) 0
msrC ABC transporter Macrolides 0 100% (8)
erm(A) 23S rRNA methyltransferase Macrolides 0 12.5% (1)
erm(B) 23S rRNA methyltransferase Macrolides 8.5% (4) 12.5% (1)
optrA ABC transporter Oxazolidinones 0 12.5% (1)
lpsB Intrinsic peptidentibiotic-resistant LPS Peptides 2.1% (1) 0
catA8 Chloramphenicol acetyltransferase Phenicols 2.1% (1) 0
lsa(E) ABC transporter Multiple drugs 4.3% (2) 0
sat4 Acetyltransferase Streptothricins 4.3% (2) 0
tet(45) Efflux protein Tetracyclines 2.1% (1) 12.5% (1)
tet(M) Ribosomal protection protein Tetracyclines 31.9% (15) 37.5% (3)

All sequenced E. faecium genomes carried the aac(6′)-Ii and msrC genes conferring resistance to aminoglycosides and macrolides-lincosamides-streptogramin B, respectively. The efmA gene, which encodes a multidrug efflux pump (23), was found in all but one of the E. faecium genomes. The aac(6′)-Ii, efmA, and msrC genes are considered to be intrinsic within E. faecium (11). One E. faecalis strain (H11) that had been isolated from a carcass after hide removal but prior to washing carried 9 additional ARGs: aac(6′)-Ie-aph(2′')-Ia, aad(6), ant(6)-Ia, aph(3′)-IIIa, catA8, erm(B), lsaE, sat4, and tet(M). A different E. faecalis strain (H22) also from a carcass post-hide removal had six additional ARGs: aad(6), ant(6)-Ia, aph(3′)-IIIa, lsaE, sat4, and tet(M). These two isolates were phenotypically resistant to nine different antimicrobials and had the same multilocus sequence typing (MLST) profile but were collected 3 months apart. The only other isolate with more than two additional ARGs, E. faecalis H96E, was also collected from carcasses after removal of the hide.

Three E. faecalis (H11, H22, and H96E) and two E. faecium (H112E and H134E) isolates with multidrug resistance (presence of ARGs conferring resistance to three or more antimicrobial classes) profiles of interest were examined further to determine the genetic context of the ARGs detected. All five multidrug-resistant strains contained an insertion sequence harboring tet(M) (Fig. 1A) that had high sequence similarity (>80% identity and >70% coverage when aligned using E. faecium H134E) to integrative and conjugative elements found in Streptococcus suis (ICESsu05SC260, GenBank KX077888.1; ICESsuJH1308-2, GenBank KX077884.1). Alignment of this region in all five isolates showed 85% pairwise identity and revealed two variants with similarity in gene arrangements within E. faecalis H11, E. faecalis H22, and E. faecium H112E and between E. faecium H134E and E. faecalis H96E. Differences between the variants occurred on the left flank and included genes associated with integration and the presence of tet(L) [designated tet(45) by the CARD RGI] adjacent to tet(M) in H96E and H143E but not in H11, H22, and H112E. Despite complementarity, there were a significant number of point mutations in this region between H11, H22, and H112E (88% pairwise identify) that could reflect differences in the residence time of this gene region within each strain.

FIG 1.

FIG 1

Location of antimicrobial resistance genes (ARGs) within indicated Enterococcus faecalis and Enterococcus faecium strains. The ARGs are displayed in yellow, non-ARGs genes are blue, and hypothetical proteins are colored gray.

In E. faecalis H96E, a tetronasin resistance gene was identified approximately 60 kb upstream of tet(M), along with erm(B), a tet(R) gene, a transposase, a toxin-antitoxin system, and other genes associated with transcriptional regulation (Fig. 1B). The erm(B) gene was also present in E. faecalis H11 but was assembled as a single gene contig, and therefore its location within the genome could not be ascertained. The lsa(E) gene in E. faecalis H11 and H22 was found on contigs with identical gene arrangements that were truncated at the same location on the left and right flanks (Fig. 1C). In addition to lsa(E), these contigs also contained an unnamed streptomycin 3′-adenylyltransferase and a lincosamide and streptogramin A transport system ATP-binding/permease gene. The E. faecalis H11 and H22 assemblies also had contigs carrying the aad(6), sat4, aph(3′)-IIIa, and ant(6)-Ia genes. Based on alignment against multiple Enterococcus strains in NCBI, the sat4 gene-containing contig was adjacent on the chromosome to the contig carrying lsa(E), with the streptomycin 3′′-adenylyltransferase and aad(6) genes adjacent to each other. As with other ARG regions found in these isolates, strong pairwise identity was observed between parts of these contigs and similar cassettes found in Staphylococcus aureus strains (S. aureus BA01611, RefSeq NC_007795.1; S. aureus MRSA_S3, RefSeq NC_007795.1).

The aminoglycoside resistance genes aac(6′)-Ie-aph(2″)-Ia and ant(6)-Ia were found adjacent to one another, comprising a single contig in strain H11 (Fig. 1D). This couplet of ARGs is present in many E. faecium and E. faecalis strains in NCBI but can also be found in Staphylococcus spp., Clostridium spp., and Campylobacter coli strains. E. faecium H112E contained a gene region harboring the oxazolidinone resistance gene optrA in close proximity to the macrolide resistance gene erm(A), ant(9)-Ia (aminoglycoside resistance), and xerC, a tyrosine recombinase gene (Fig. 1E). This gene region aligned with complete coverage and greater than 99% identity to a plasmid in E. faecalis (GenBank CP042214.1) and an optrA gene cluster in E. faecium (GenBank MK251151.1), suggesting that this gene array could have originally been a plasmid that integrated into the chromosome of E. faecium H112E. Other ARGs present that assembled into single either gene contigs or gene regions lacking other ARGs were the lincosamide resistance gene lunG in E. faecalis H96E, the chloramphenicol resistance gene catA, and msrC in E. faecium H134E and H112E.

Virulence genes.

Genome assemblies were also screened for virulence genes using the VirulenceFinder Enterococcus database. The virulence genes ace (collagen adhesin), camE, cCF10, cOB1 (sex pheromones), ebpA, ebpB, ebpC (pili proteins), efaAfs (adhesion), elrA (enterococcal leucine rich protein A), srtA (sortase), and tpx (thiol peroxidase) were found in all E. faecalis genomes (Table S5). The gelatinase-encoding gelE and hyaluronidase genes hylA and hylB were also detected in 74.5%, 68.8%, and 83.0% of E. faecalis genomes, respectively. Only two E. faecalis genomes carried the cytolysin genes cylABLM and the extracellular surface protein (eps) gene, but notably, these were also the strains that had the greatest number of ARGs, H11 and H22. These genes were also detected only in the selected publicly available genomes that were isolated from humans. The efaAfm gene, which encodes a cell wall adhesin, was found in all eight E. faecium assemblies. The acm gene (collagen-binding protein) was the only other virulence gene detected in the E. faecium genomes (75%).

Phylogeny of enterococcal strains.

Phylogenetic relationships among the 47 E. faecalis and 8 E. faecium strains from this study and 29 E. faecalis and 19 E. faecium genomes that were publicly available were determined using the core genes within each species. These additional E. faecalis and E. faecium genomes included all publicly available isolates from ground beef and several randomly selected human and cattle fecal isolates also from Alberta (24). The core genome of the 76 E. faecalis genomes contained 1,325 genes and the pan-genome had 9,558 genes. Among the 27 E. faecium genomes included for analysis, there were 1,417 genes in the core genome and 7,848 genes in the pan-genome.

E. faecalis strains clustered by MLST type (Fig. 2). Among the 23 E. faecalis sequenced isolates from within the processing facility that could be assigned to a particular MLST profile, there were 12 unique MLST profiles. Interestingly, certain E. faecalis strains that had been collected from retail ground beef in the United States had an MLST profile (ST192, ST228, and ST260) that was shared with strains isolated from the conveyor belt, carcasses after final washing, and retail ground beef in the present study. Six of the E. faecalis isolates (G92, G127E, G149, H4, W97, and W133) had the same MLST profile as one of the Alberta human isolates (HC_NS0077). However, it should be noted that this human isolate carried tet(M) and an additional virulence gene which was absent in the six isolates from this study.

FIG 2.

FIG 2

Maximum likelihood phylogeny of 47 Enterococcus faecalis isolates from the current study and selected publicly available E. faecalis genomes from cattle feces (n = 10), ground beef (n = 7), and humans (n = 12). Phylogeny was inferred from the alignment of 1,325 core genes using RAxML. Scale bar represents substitutions per nucleotide.

E. faecium isolates also clustered by MLST (Fig. 3). Three E. faecium isolates from retail ground beef along with two isolates from the postwash carcasses and one from U.S. ground beef had the same MLST (ST76). Unlike the E. faecalis genomes, there also appeared to be two distinct clades of E. faecium with the two post-hide removal isolates (H134E and H112E) in a separate clade from the other E. faecium isolates examined.

FIG 3.

FIG 3

Maximum likelihood phylogeny of 8 Enterococcus faecium isolates and selected publicly available E. faecium genomes from cattle feces (n = 5), ground beef (n = 7), and humans (n = 7). Phylogeny was inferred from the alignment of 1,417 core genes using RAxML. Scale bar represents substitutions per nucleotide.

DISCUSSION

AMR continues to be a serious public health threat, and there are concerns that antimicrobial-resistant bacteria in food-producing animals may be transferred to humans through the food production system. In this study, we used culturing and whole-genome sequencing to monitor AMR and enterococci distribution in a beef processing facility and in retail ground beef over a 19-month period. Although 10 different Enterococcus spp. were isolated at least once during the study, only E. faecalis was found in all sampling locations. This is consistent with previous surveys that sampled from beef plants (5) or retail ground beef (6). E. hirae was the species isolated most frequently from carcasses post-hide removal, which was expected given that E. hirae has been reported to be the most prevalent Enterococcus sp. in cattle feces (2, 24, 25) and there is greater likelihood of contamination from feces at the hide removal step (26). Notably, E. hirae was recovered more frequently from media supplemented with 8 μg erythromycin mL−1, likely in part due to the suppression of E. faecalis by erythromycin. Additionally, a study by Beukers et al. (2) reported that 42.9% of E. hirae isolates from cattle feces were resistant to erythromycin, as drugs of the macrolide class are frequently used to prevent and treat infectious disease in feedlot cattle.

The number of enterococcus-positive samples recovered from the carcasses postwashing and the conveyor belts was substantially lower than that from any other sample type. Carcasses are subjected to washing with hot water and spraying with organic acids after hide removal, which reduces the microbial load on the carcasses. The proportion of enterococci isolated from the conveyor belts was lower than that in an earlier study (10.7% versus 48%) (5). This may represent differences in sanitation or sampling methods within the conveyor area. However, 82.7% of the ground beef produced within the plant was positive for Enterococcus spp., most of which were E. faecalis, suggesting that the conveyor area is not a reflection of the prevalence of enterococci in the ground beef produced. The source of enterococci in the ground beef is unknown, but microbial contamination of ground beef can happen during the trimming and grinding processes from equipment surfaces, workers, and the environment. In the current study, this contamination may have occurred within either processing or retail environments. Enterococci were also isolated from the majority of ground beef samples taken from retail stores in Alberta, which was similar to previous surveys of enterococci in retail ground beef in Alberta (65%) (5) and the United States (92.7%) (6).

We subjected 120 of the E. faecalis and 9 of the E. faecium isolates to antimicrobial susceptibility testing, as these two species are opportunistic pathogens in humans. Of the antimicrobials classified by the World Health Organization (WHO) as critically important in human medicine (27), infrequent resistance to ciprofloxacin, daptomycin, erythromycin, gentamicin, kanamycin, and tigecycline was noted. None of the isolates were resistant to vancomycin or linezolid, which are antimicrobials often used to treat VRE strains (28). Resistance to lincomycin and quinupristin-dalfopristin is intrinsic in E. faecalis and mediated by the chromosomally carried lsa(A) gene (29), thus explaining the widespread resistance of E. faecalis to these antimicrobials. Tetracycline resistance was observed in 28.8% of E. faecalis isolates from erythromycin-free media and was likely mediated by the tet(M) gene, which encodes a ribosomal protection protein and was detected in 83.3% of tetracycline-resistant E. faecalis isolates and absent in tetracycline-susceptible ones. This finding is similar to previous reports of tet(M) in E. faecalis from beef and other foods (5, 30). Feedlot cattle in Western Canada have historically received tetracyclines such as chlortetracycline and oxytetracycline in feed or via injection for treatment and prevention of disease, possibly accounting for the prevalence of tetracycline resistance noted here (14).

Of the 47 E. faecalis genomes that were sequenced here, 31.9% also carried the tet(M) gene, as did 3 of the 8 E. faecium genomes sequenced. In Enterococcus spp., tet(M) is typically found within the Tn916-Tn1545 family of conjugative transposons (31, 32). In this study, we examined the genetic context of the tet(M) gene and other ARGs in the isolates with phenotypic resistance to the greatest number of antimicrobials. In these isolates, tet(M) also appeared to be adjacent to transposases, as did erm(B) in E. faecalis strain H96E. Interestingly, the erm(B) gene in this particular isolate was found on the same contig as a tetronasin resistance gene. Tetronasin is an ionophore: a class of antimicrobials that is widely used in livestock production to prevent coccidiosis and promote growth (14). However, because ionophores are employed only in veterinary medicine, it is assumed that their use does not affect human health (33). To date, several studies have examined ionophore resistance in Enterococcus spp. but have reported little or no concern for its development (34). If any degree of resistance was observed, it was attributed to thickening of the cell wall or glycocalyx, traits that were considered to be genetically unstable and reversible upon removal of selective pressure (35).

An isolate from the current study was found to harbor the erm(B) gene near a tetronasin resistance gene. Linkages between ionophore resistance and ARGs from other drug classes are not unprecedented, with enterococci isolated from various locations around the world and from both humans and animals having been found to contain putative narasin resistance ABC transporters and vanA genes (33). It is important to note that vanA was not detected in any of the isolates in the present study and no isolates displayed phenotypic resistance to vancomycin. Furthermore, ionophore resistance was not phenotypically confirmed in this single isolate and further work would be required to determine if the use of ionophores could coselect for macrolide resistance in this strain. A large portion of the ARG cassettes examined here are also found in Streptococcus, Staphylococcus, and Campylobacter spp. in the NCBI nucleotide database. Future research that examines the rates of prevalence and transmissibility of these mobile regions between and among these species could be of considerable value in limiting the spread of AMR in bacteria of importance in human disease.

Several of the E. faecalis and E. faecium isolates from the postwashed carcasses, conveyor belt area, and ground beef from the plant and retail locations were genetically very similar to publicly available isolates from ground beef in the United States, suggesting that these particular strains are well adapted to the beef processing environment or possibly cattle. These may be strains that are transferred during beef processing or a result of cross-contamination of ground beef from equipment, workers, and/or the environment within the plant. The cytolysin and extracellular surface protein genes are virulence genes often associated with human clinical strains and increased toxicity (36, 37). Here, only two isolates, both from the carcasses after hide removal (E. faecalis H11 and H22), carried either of these genes, although these were also the strains that were resistant to the greatest number of antimicrobials. A low prevalence of these virulence genes in enterococci from retail ground beef in Alberta has also been reported previously (38). Of the 12 human-derived E. faecalis genomes included in this analysis, only one (HC_NS0077) appeared to be closely related to any of the E. faecalis isolates sequenced here. One E. faecium isolate from a carcass after hide removal was also genetically similar to a human E. faecium isolate (HC_NS0120), but this in itself does not constitute evidence of directional transfer.

In summary, longitudinal sampling from a commercial beef packaging facility revealed the presence of E. faecalis in all sample types (carcasses, conveyor belt, and ground beef), with the greatest prevalence found in ground beef produced in the plant. Whole-genome sequencing of selected E. faecalis and E. faecium isolates showed that certain isolates from different sample types were genetically very similar, suggesting a common origin, although that origin is unknown. Several multidrug-resistant isolates were recovered, including two E. faecalis isolates from carcasses post-hide removal which were resistant to nine different antimicrobials and carried a number of ARGs on potentially mobile elements. However, the risk that such strains found on the carcasses post-hide removal may pose to the food production system is unknown, as they were not isolated in the downstream processing environment.

MATERIALS AND METHODS

Sampling and isolation of Enterococcus spp.

Samples were collected a total of 15 times from July 2014 through February 2016 from a commercial beef processing facility in Alberta, Canada. During each visit, 10 samples were obtained from each of four different areas within the plant: carcasses after hide removal (H), carcasses after final washing and evisceration (W), conveyer belts (C), and the ground beef product (G). A 2 cm by 2 cm gauze swab was used to sample a randomly selected 10 cm by 10 cm area on the surface of the carcasses and conveyor belts. Conveyor belt swabs were taken while the conveyor was in use and transporting cuts of meat. In total, 150 samples were obtained from each sample type or location. During the same time period, 60 samples of retail ground beef (R) were collected from various retail locations in Alberta, which may or may not have arisen from the processing plant, as the origin of these retail ground beef samples was unknown. All samples were transported to the lab on ice and processed immediately. The swabs and 25 g of each ground product and retail ground beef sample were transferred to a stomacher bag for homogenization and preenrichment with 10 mL (swabs) or 225 mL (ground product/beef) of buffered peptone water. These samples were then stomached at 260 rpm for 2 min in a Stomacher 400 circulator (Seward, Norfolk, UK) and incubated overnight at 37°C.

One milliliter of this mixture was then added to 9 mL of Enterococcosel broth (BD, Mississauga, ON, Canada) with and without 8 μg erythromycin mL−1 (Sigma-Aldrich Canada, Oakville, ON, USA) and incubated overnight at 37°C for the enrichment of enterococci. Erythromycin was chosen since macrolides are important in human and veterinary medicine and enterococci are not intrinsically resistant to this antimicrobial. Enterococcosel broth tubes displaying evidence of esculin hydrolysis (black) were streaked onto Enterococcosel agar (BD) with and without 8 μg erythromycin mL−1 and incubated at 37°C. After 48 h, the plates were examined for colonies with black zones (esculin hydrolysis) and three colonies from each plate were restreaked onto Enterococcosel agar and incubated for 48 h at 37°C. Each positive colony was then transferred to 1 mL of brain heart infusion (BHI) broth (Dalynn Biologicals, Calgary, AB, Canada) containing 15% glycerol and stored at −80°C. Confirmation and species identification of presumptive enterococci isolates were done via PCR with the Ent-ES-211-233-F and Ent-EL-74-95-R primers (39) to amplify the groES-EL spacer region as described previously (2). Enterococcus hirae isolates were identified using primers mur2h-F 5′-TATGGATACACTCGAATATCTT-3′ and 5′-ATTATTCCATTCGATTAACTGC-3′ to target the muramidase (mur-2) gene of E. hirae as per Zaheer et al. (24). The groES-EL amplicon from non-E. hirae isolates was sequenced on an ABI Prism 3130xl genetic analyzer (Thermo Fisher Scientific Inc., Mississauga, ON, Canada) to differentiate Enterococcus spp. A two-tailed Fisher’s exact test was used in R v. 4.0.3 to compare the frequency of Enterococcus-positive samples by sample location for isolates from Enterococcosel agar with and without erythromycin. P values were corrected for multiple comparisons using the Benjamini-Hochberg method.

Antimicrobial resistance screening of enterococci isolates.

Due to their well-documented use as indicator bacterial species, a random selection of isolates within each location and sample type and with a groES-EL spacer region that was 100% identical to E. faecalis or E. faecium were screened for ARGs and antimicrobial sensitivity. Broth microdilution with the Sensititre NARMS (National Antimicrobial Resistance Monitoring System) Gram-positive CMV3AGPF AST plate (Trek Diagnostics, Independence, OH, USA) was used to determine the susceptibility of 120 E. faecalis and 9 E. faecium isolates to 16 different antimicrobials. For antimicrobials in the panel, MIC breakpoints for Enterococcus spp. established by the Clinical and Laboratory Standards Institute (CLSI), European Committee on Antimicrobial Susceptibility Testing (EUCAST), or NARMS were used to interpret the results (Table S6). These isolates were also screened via PCR for the presence of the ARGs erm(B), msrC, tet(B), tet(C), tet(L), tet(M), vanA, vanB, and vanC1 as described in Beukers et al. (2) (Table S7).

Sequencing of selected Enterococcus faecalis and Enterococcus faecium isolates.

Forty-seven E. faecalis and eight E. faecium isolates were selected for whole-genome sequencing based on their AMR profiles and sample origin. Briefly, the isolates were recultured from the frozen glycerol on Enterococcosel agar and incubated for 24 h at 37°C to obtain isolated colonies with typical morphology and color. A single colony was then streaked onto BHI agar (Dalynn Biologicals) and grown overnight at 37°C, and colonies from this plate were suspended in 10 mM Tris-1mM EDTA (TE; pH 8.0) buffer to obtain an optical density at 600 nm (OD600) of 2.0 (2 × 109 cells mL−1). One milliliter of this suspension was pelleted via centrifugation at 14,000 × g for 2 min. Genomic DNA was extracted from the pellet using the DNeasy blood and tissue kit (Qiagen, Mississauga, ON, Canada) with the modification that cells were incubated with agitation (150 rpm) for 45 min at 37°C in 280 μL of lysis buffer (20 mM Tris-HCl [pH 8.0], 2 mM sodium EDTA, 1.2% Triton X-100, and 20 mg mL−1 lysozyme) (Sigma-Aldrich Canada) prior to the addition of proteinase K and 5 μL of 100 mg mL−1 RNase A (Qiagen). The DNA concentration was determined using a Qubit fluorometer (Thermo Fisher Scientific, Mississauga, ON, Canada). The Nextera XT DNA library preparation kit (Illumina Inc., San Diego, CA, USA) was used to prepare sequencing libraries that were sequenced on a MiSeq instrument (Illumina Inc.) with the MiSeq reagent kit v3 (Illumina Inc.; 600 cycles) or on a NovaSeq 6000 machine (Illumina Inc.) with an SP flow cell (300 cycles).

Genomic analysis of Enterococcus faecalis and Enterococcus faecium isolates.

Trimmomatic v. 0.39 (40) was used to remove sequencing adapters, reads with a quality score of less than 15 over a 4-bp sliding window, and reads that were less than 50 bp long. Genomes were assembled with SPAdes v. 3.15.1 (41) in “isolate mode,” and the quality of the assemblies was assessed with QUAST v. 5.0.2 (42). Potential contamination within each assembly was determined using Kraken 2 v. 2.1.1 and the minikraken2 database v. 2 (43) as well as CheckM v. 1.1.3 (44). GTDB-tk v. 1.3.0 (45) was also used to confirm the taxonomic assignments of the assemblies, and Prokka v. 1.14.6 (46) was used to annotate the assemblies. Determination of MLST was done on the assembled genomes using the E. faecalis (https://pubmlst.org/efaecalis) and E. faecium (https://pubmlst.org/efaecium/) MLST databases (47, 48).

The accessory, core, and pan-genome of the E. faecalis and E. faecium genomes were identified using Roary v. 3.13.0 (49) with a BLASTp identity cutoff of ≥95%. The core genome is defined as genes present in ≥99% of genomes. The core genes for both species were aligned in Roary using MAFFT v. 7.475 (50), and a maximum likelihood phylogenetic tree was inferred from this alignment using RAxML v. 8.2.12 (51) and viewed with ggtree v. 2.4.1 (52) in R. Several publicly available E. faecalis and E. faecium assemblies from various isolation sources, including humans and cattle in Alberta, were also included in the core and pan-genome analysis as listed in Table S8. The genome assemblies were also screened for virulence genes using the VirulenceFinder 2.0 database (53) and BLASTn (≥90% identity) and for ARGs using the CARD v. 3.0.9 (54) Resistance Gene Identifier (RGI). The depicted gene regions containing ARGs were constructed and validated using contig alignments in Geneious v. 11.0.9. BLAST was used to identify highly similar regions with >80% pairwise identity in bacterial strains present in NCBI.

ACKNOWLEDGMENTS

This project was financially supported by the Beef Cattle Research Council and Agriculture and Agri-Food Canada, the Genomics Research and Development Initiative, and the Antimicrobial Resistance – One Health Consortium of the Alberta Government Major Innovation Fund. We thank Brent Avery, Ruth Barbieri, Scott Hrycauk, Nicole Lassel, TingTing Liu, and Victoria Muehlhauser for their valuable technical assistance.

Footnotes

Supplemental material is available online only.

SUPPLEMENTAL FILE 1
Supplemental material. Download SPECTRUM01980-21_Supp_1_seq4.xlsx, XLSX file, 0.05 MB (51.6KB, xlsx)
SUPPLEMENTAL FILE 2
Supplemental material. Download SPECTRUM01980-21_Supp_2_seq5.pdf, PDF file, 0.1 MB (127.6KB, pdf)

Contributor Information

Devin B. Holman, Email: devin.holman@agr.gc.ca.

Tim A. McAllister, Email: tim.mcallister@canada.ca.

Sophia Johler, Vetsuisse Faculty University of Zurich.

REFERENCES

  • 1.Boehm AB, Sassoubre LM. 2014. Enterococci as indicators of environmental fecal contamination. In Gilmore MS, Clewell DB, Ike Y, Shankar N (ed) Enterococci: from commensals to leading causes of drug resistant infection. Massachusetts Eye and Ear Infirmary, Boston, MA. [PubMed] [Google Scholar]
  • 2.Beukers AG, Zaheer R, Cook SR, Stanford K, Chaves AV, Ward MP, McAllister TA. 2015. Effect of in-feed administration and withdrawal of tylosin phosphate on antibiotic resistance in enterococci isolated from feedlot steers. Front Microbiol 6:483. doi: 10.3389/fmicb.2015.00483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Farnleitner AH, Ryzinska-Paier G, Reischer GH, Burtscher MM, Knetsch S, Kirschner AK, Dirnbock T, Kuschnig G, Mach RL, Sommer R. 2010. Escherichia coli and enterococci are sensitive and reliable indicators for human, livestock and wildlife faecal pollution in alpine mountainous water resources. J Appl Microbiol 109:1599–1608. doi: 10.1111/j.1365-2672.2010.04788.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Cernicchiaro N, Oliveira ARS, Hoehn A, Cull CA, Noll LW, Shridhar PB, Nagaraja TG, Ives SE, Renter DG, Sanderson MW. 2019. Quantification of bacteria indicative of fecal and environmental contamination from hides to carcasses. Foodborne Pathog Dis 16:844–855. doi: 10.1089/fpd.2019.2656. [DOI] [PubMed] [Google Scholar]
  • 5.Aslam M, Diarra MS, Service C, Rempel H. 2010. Characterization of antimicrobial resistance in Enterococcus spp. recovered from a commercial beef processing plant. Foodborne Pathog Dis 7:235–241. doi: 10.1089/fpd.2009.0380. [DOI] [PubMed] [Google Scholar]
  • 6.Tyson GH, Nyirabahizi E, Crarey E, Kabera C, Lam C, Rice-Trujillo C, McDermott PF, Tate H. 2018. Prevalence and antimicrobial resistance of enterococci isolated from retail meats in the United States, 2002 to 2014. Appl Environ Microbiol 84:e01902-17. doi: 10.1128/AEM.01902-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hayes JR, English LL, Carter PJ, Proescholdt T, Lee KY, Wagner DD, White DG. 2003. Prevalence and antimicrobial resistance of Enterococcus species isolated from retail meats. Appl Environ Microbiol 69:7153–7160. doi: 10.1128/AEM.69.12.7153-7160.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Schmidt JW, Vikram A, Doster E, Thomas K, Weinroth MD, Parker J, Hanes A, Geornaras I, Morley PS, Belk KE, Wheeler TL, Arthur TM. 2021. Antimicrobial resistance in U.S. retail ground beef with and without label claims regarding antibiotic use. J Food Prot 84:827–842. doi: 10.4315/JFP-20-376. [DOI] [PubMed] [Google Scholar]
  • 9.Simner PJ, Adam H, Baxter M, McCracken M, Golding G, Karlowsky JA, Nichol K, Lagace-Wiens P, Gilmour MW, Canadian Antimicrobial Resistance A, Hoban DJ, Zhanel GG, Canadian Antimicrobial Resistance Alliance (CARA). 2015. Epidemiology of vancomycin-resistant enterococci in Canadian hospitals (CANWARD study, 2007 to 2013). Antimicrob Agents Chemother 59:4315–4317. doi: 10.1128/AAC.00384-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Higuita NIA, Huycke MM. 2014. Enterococcal disease, epidemiology, and implications for treatment. In Gilmore MS, Clewell DB, Ike Y, Shankar N (ed) Enterococci: from commensals to leading causes of drug resistant infection. Massachusetts Eye and Ear Infirmary, Boston, MA. [PubMed] [Google Scholar]
  • 11.Hollenbeck BL, Rice LB. 2012. Intrinsic and acquired resistance mechanisms in enterococcus. Virulence 3:421–433. doi: 10.4161/viru.21282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Arias CA, Murray BE. 2012. The rise of the Enterococcus: beyond vancomycin resistance. Nat Rev Microbiol 10:266–278. doi: 10.1038/nrmicro2761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Cameron A, McAllister TA. 2016. Antimicrobial usage and resistance in beef production. J Anim Sci Biotechnol 7:68. doi: 10.1186/s40104-016-0127-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Brault SA, Hannon SJ, Gow SP, Warr BN, Withell J, Song J, Williams CM, Otto SJG, Booker CW, Morley PS. 2019. Antimicrobial use on 36 beef feedlots in Western Canada: 2008–2012. Front Vet Sci 6:329. doi: 10.3389/fvets.2019.00329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.USDA. 2019. Antimicrobial use and stewardship on U.S. feedlots, 2017. https://www.aphis.usda.gov/animal_health/nahms/amr/downloads/amu-feedlots_1.pdf.
  • 16.Van Boeckel TP, Brower C, Gilbert M, Grenfell BT, Levin SA, Robinson TP, Teillant A, Laxminarayan R. 2015. Global trends in antimicrobial use in food animals. Proc Natl Acad Sci USA 112:5649–5654. doi: 10.1073/pnas.1503141112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Sorensen TL, Blom M, Monnet DL, Frimodt-Moller N, Poulsen RL, Espersen F. 2001. Transient intestinal carriage after ingestion of antibiotic-resistant Enterococcus faecium from chicken and pork. N Engl J Med 345:1161–1166. doi: 10.1056/NEJMoa010692. [DOI] [PubMed] [Google Scholar]
  • 18.Jahan M, Zhanel GG, Sparling R, Holley RA. 2015. Horizontal transfer of antibiotic resistance from Enterococcus faecium of fermented meat origin to clinical isolates of E. faecium and Enterococcus faecalis. Int J Food Microbiol 199:78–85. doi: 10.1016/j.ijfoodmicro.2015.01.013. [DOI] [PubMed] [Google Scholar]
  • 19.Holman DB, Gzyl KE, Zaheer R, Jones TH, McAllister TA. 2019. Draft genome sequences of 43 Enterococcus faecalis and Enterococcus faecium isolates from a commercial beef processing plant and retail ground beef. Microbiol Resour Announc 8:e00974-19. doi: 10.1128/MRA.00974-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Jonas BM, Murray BE, Weinstock GM. 2001. Characterization of emeA, a NorA homolog and multidrug resistance efflux pump, in Enterococcus faecalis. Antimicrob Agents Chemother 45:3574–3579. doi: 10.1128/AAC.45.12.3574-3579.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lee EW, Huda MN, Kuroda T, Mizushima T, Tsuchiya T. 2003. EfrAB, an ABC multidrug efflux pump in Enterococcus faecalis. Antimicrob Agents Chemother 47:3733–3738. doi: 10.1128/AAC.47.12.3733-3738.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lee E-W, Chen J, Huda MN, Kuroda T, Mizushima T, Tsuchiya TJB, Bulletin P. 2003. Functional cloning and expression of emeA, and characterization of EmeA, a multidrug efflux pump from Enterococcus faecalis. Biol Pharm Bull 26:266–270. doi: 10.1248/bpb.26.266. [DOI] [PubMed] [Google Scholar]
  • 23.Nishioka T, Ogawa W, Kuroda T, Katsu T, Tsuchiya T. 2009. Gene cloning and characterization of EfmA, a multidrug efflux pump, from Enterococcus faecium. Biol Pharm Bull 32:483–488. doi: 10.1248/bpb.32.483. [DOI] [PubMed] [Google Scholar]
  • 24.Zaheer R, Cook SR, Barbieri R, Goji N, Cameron A, Petkau A, Polo RO, Tymensen L, Stamm C, Song J, Hannon S, Jones T, Church D, Booker CW, Amoako K, Van Domselaar G, Read RR, McAllister TA. 2020. Surveillance of Enterococcus spp. reveals distinct species and antimicrobial resistance diversity across a One-Health continuum. Sci Rep 10:3937. doi: 10.1038/s41598-020-61002-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Zaheer R, Cook SR, Klima CL, Stanford K, Alexander T, Topp E, Read RR, McAllister TA. 2013. Effect of subtherapeutic vs. therapeutic administration of macrolides on antimicrobial resistance in Mannheimia haemolytica and enterococci isolated from beef cattle. Front Microbiol 4:133. doi: 10.3389/fmicb.2013.00133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Fluckey WM, Loneragan GH, Warner RD, Echeverry A, Brashears MM. 2009. Diversity and susceptibility of Enterococcus isolated from cattle before and after harvest. J Food Prot 72:766–774. doi: 10.4315/0362-028X-72.4.766. [DOI] [PubMed] [Google Scholar]
  • 27.World Health Organization. 2018. Critically important antimicrobials for human medicine: ranking of antimicrobial agents for risk management of antimicrobial resistance due to non-human use. https://www.who.int/publications/i/item/9789241515528.
  • 28.Balli EP, Venetis CA, Miyakis S. 2014. Systematic review and meta-analysis of linezolid versus daptomycin for treatment of vancomycin-resistant enterococcal bacteremia. Antimicrob Agents Chemother 58:734–739. doi: 10.1128/AAC.01289-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Singh KV, Weinstock GM, Murray BE. 2002. An Enterococcus faecalis ABC homologue (Lsa) is required for the resistance of this species to clindamycin and quinupristin-dalfopristin. Antimicrob Agents Chemother 46:1845–1850. doi: 10.1128/AAC.46.6.1845-1850.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Huys G, D'Haene K, Collard J-M, Swings J. 2004. Prevalence and molecular characterization of tetracycline resistance in Enterococcus isolates from food. Appl Environ Microbiol 70:1555–1562. doi: 10.1128/AEM.70.3.1555-1562.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Rizzotti L, La Gioia F, Dellaglio F, Torriani S. 2009. Molecular diversity and transferability of the tetracycline resistance gene tet (M), carried on Tn 916–1545 family transposons, in enterococci from a total food chain. Antonie Van Leeuwenhoek 96:43–52. doi: 10.1007/s10482-009-9334-7. [DOI] [PubMed] [Google Scholar]
  • 32.Chajęcka‐Wierzchowska W, Zadernowska A, Łaniewska‐Trokenheim Ł. 2016. Diversity of antibiotic resistance genes in Enterococcus strains isolated from ready‐to‐eat meat products. J Food Sci 81:M2799–M2807. doi: 10.1111/1750-3841.13523. [DOI] [PubMed] [Google Scholar]
  • 33.Wong A. 2019. Unknown risk on the farm: does agricultural use of ionophores contribute to the burden of antimicrobial resistance? mSphere 4:e00433-19. doi: 10.1128/mSphere.00433-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Nisbet DJ, Callaway TR, Edrington TS, Anderson RC, Poole TL. 2008. Effects of ionophores on Enterococcus faecalis and E. faecium growth in pure and mixed ruminal culture. Foodborne Pathog Dis 5:193–198. doi: 10.1089/fpd.2007.0058. [DOI] [PubMed] [Google Scholar]
  • 35.Simjee S, Heffron AL, Pridmore A, Shryock TR. 2012. Reversible monensin adaptation in Enterococcus faecium, Enterococcus faecalis and Clostridium perfringens of cattle origin: potential impact on human food safety. J Antimicrob Chemother 67:2388–2395. doi: 10.1093/jac/dks236. [DOI] [PubMed] [Google Scholar]
  • 36.Van Tyne D, Martin MJ, Gilmore MSJT. 2013. Structure, function, and biology of the Enterococcus faecalis cytolysin. Toxins (Basel) 5:895–911. doi: 10.3390/toxins5050895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Rathnayake I, Hargreaves M, Huygens FJS, Microbiology A. 2012. Antibiotic resistance and virulence traits in clinical and environmental Enterococcus faecalis and Enterococcus faecium isolates. Syst Appl Microbiol 35:326–333. doi: 10.1016/j.syapm.2012.05.004. [DOI] [PubMed] [Google Scholar]
  • 38.Aslam M, Diarra MS, Checkley S, Bohaychuk V, Masson L. 2012. Characterization of antimicrobial resistance and virulence genes in Enterococcus spp. isolated from retail meats in Alberta, Canada. Int J Food Microbiol 156:222–230. doi: 10.1016/j.ijfoodmicro.2012.03.026. [DOI] [PubMed] [Google Scholar]
  • 39.Zaheer R, Yanke LJ, Church D, Topp E, Read RR, McAllister TA. 2012. High-throughput species identification of enterococci using pyrosequencing. J Microbiol Methods 89:174–178. doi: 10.1016/j.mimet.2012.03.012. [DOI] [PubMed] [Google Scholar]
  • 40.Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi: 10.1093/bioinformatics/btt086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wood DE, Lu J, Langmead B. 2019. Improved metagenomic analysis with Kraken 2. Genome Biol 20:257. doi: 10.1186/s13059-019-1891-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi: 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Chaumeil PA, Mussig AJ, Hugenholtz P, Parks DH. 2019. GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics 36:1925–1927. doi: 10.1093/bioinformatics/btz848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 47.Ruiz-Garbajosa P, Bonten MJ, Robinson DA, Top J, Nallapareddy SR, Torres C, Coque TM, Canton R, Baquero F, Murray BE, del Campo R, Willems RJ. 2006. Multilocus sequence typing scheme for Enterococcus faecalis reveals hospital-adapted genetic complexes in a background of high rates of recombination. J Clin Microbiol 44:2220–2228. doi: 10.1128/JCM.02596-05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Homan WL, Tribe D, Poznanski S, Li M, Hogg G, Spalburg E, Van Embden JD, Willems RJ. 2002. Multilocus sequence typing scheme for Enterococcus faecium. J Clin Microbiol 40:1963–1971. doi: 10.1128/JCM.40.6.1963-1971.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, Holden MT, Fookes M, Falush D, Keane JA, Parkhill J. 2015. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 31:3691–3693. doi: 10.1093/bioinformatics/btv421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Katoh K, Standley DM. 2013. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 30:772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Stamatakis A. 2014. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30:1312–1313. doi: 10.1093/bioinformatics/btu033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Yu G, Smith DK, Zhu H, Guan Y, Lam TTY. 2017. ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods Ecol Evol 8:28–36. doi: 10.1111/2041-210X.12628. [DOI] [Google Scholar]
  • 53.Joensen KG, Scheutz F, Lund O, Hasman H, Kaas RS, Nielsen EM, Aarestrup FM. 2014. Real-time whole-genome sequencing for routine typing, surveillance, and outbreak detection of verotoxigenic Escherichia coli. J Clin Microbiol 52:1501–1510. doi: 10.1128/JCM.03617-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Alcock BP, Raphenya AR, Lau TTY, Tsang KK, Bouchard M, Edalatmand A, Huynh W, Nguyen AV, Cheng AA, Liu S, Min SY, Miroshnichenko A, Tran HK, Werfalli RE, Nasir JA, Oloni M, Speicher DJ, Florescu A, Singh B, Faltyn M, Hernandez-Koutoucheva A, Sharma AN, Bordeleau E, Pawlowski AC, Zubyk HL, Dooley D, Griffiths E, Maguire F, Winsor GL, Beiko RG, Brinkman FSL, Hsiao WWL, Domselaar GV, McArthur AG. 2020. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res 48:D517–D525. doi: 10.1093/nar/gkz935. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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Supplementary Materials

SUPPLEMENTAL FILE 1

Supplemental material. Download SPECTRUM01980-21_Supp_1_seq4.xlsx, XLSX file, 0.05 MB (51.6KB, xlsx)

SUPPLEMENTAL FILE 2

Supplemental material. Download SPECTRUM01980-21_Supp_2_seq5.pdf, PDF file, 0.1 MB (127.6KB, pdf)


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