Abstract
The emergence of extended-spectrum β-lactamase (ESBL) and AmpC β-lactamase producing Escherichia coli represent a contemporary public health threat. ESBL and AmpC β-lactamase genes translocate between chromosomes and plasmids, facilitating rapid spread throughout the environment. In this study, ESBL/AmpC producing bacteria were isolated from beef cattle farms with seldom antibiotic use. Eleven farms out of 17 tested, had ESBL/AmpC producing E. coli in animals, soil, and forage samples. Fifty-nine CTX-M or CMY-2 positive E. coli isolates were further characterized with whole-genome sequencing. The isolates commonly carried CMY-2, TEM, or CTX-M genes, and over half encoded both CTX-M and TEM genes. Using comparative genomics, antimicrobial resistance genes from 12 classes of antimicrobial were identified and confirmed by antibiotic susceptibility test, revealing multidrug resistance against multiple classes of antibiotics. Virulence factors related to adherence, invasion, iron uptake, and bacterial secretion systems were shared by all isolates; some of which were identified as enteropathogenic E. coli. Phylogenetic analyses revealed a pattern of close genetic relatedness, suggesting that ESBL/AmpC producing E. coli were transmitted among farms as well as independent evolution within farms. Our results indicate that ESBL and AmpC β-lactamases prevail in food animal production system regardless antibiotic use and have the characteristics for zoonotic transmission.
Keywords: E. coli, ESBL, AmpC, antibiotic resistance, grazing beef cattle
Introduction
Extended-spectrum β-lactamase (ESBL) and AmpC β-lactamase have become prevalent in Enterobacteriaceae, representing a contemporary public health threat (Rawat and Nair, 2010). ESBL or overexpressed AmpC β-lactamases allow bacteria such as Escherichia coli to survive from treatment with most broad-spectrum β-lactams, thereby limiting their efficacy in medicine (Horton et al., 2011; Doi et al., 2013). ESBL/AmpC producing E. coli were mainly associated with hospital infections, and those β-lactamase genes were originally located in chromosomal DNA of Kluyvera spp. and Citrobacter spp., respectively (Jacoby, 2009; Verdet et al., 2009). Due to the increased use of β-lactams and subsequent relocation of ESBL and AmpC β-lactamase genes to plasmids, ESBL/AmpC producing E. coli are widely disseminated into the environment and into the food-producing animals (Blaak et al., 2014; Ma et al., 2018, 2019). This allows for zoonotic transmission to humans through contaminated food products, creating a feedback loop for evolution and positive selection of new resistance genes (Ewers et al., 2012; Ibrahim et al., 2016). Thus, the emergence of β-lactam resistant bacteria in food-producing animals represents both a challenge to global health and a potential critical control point (Doi et al., 2013; Petty et al., 2014).
Although the awareness of ESBL/AmpC producing bacteria in food animals has increased, much work has focused on confined animal feeding operations with extensive antibiotic supplementation in feedstocks (Cottell et al., 2013). More recently, a high prevalence of cefotaxime resistant bacteria (CRB) was identified in beef cattle on cow/calf operations, where the grazing animals were not supplemented with antibiotics except medical necessity to treat sporadic infections (Markland et al., 2019). Additionally, soil samples from the environment contained high concentrations of CRB, raising a question whether the soil was merely contaminated by feces shed by the cattle, or it was the origin of the CRB identified in the cattle. Given the multiple evidences of existing natural antibiotic resistomes (Wellington et al., 2013), we hypothesized that ESBL/AmpC producing E. coli isolates in commercial beef farms were acquired through outside sources and spread among farms, as well as independent evolution in farms. To investigate the origins of multi-drug resistant bacteria isolated from food animals raised without antibiotic supplementation as growth promoters, a sample of ESBL/AmpC producing E. coli were further characterized via comparative genomics with whole genome sequencing. Additionally, phenotypic characteristics were studied with antibiotic susceptibility testing and functional genomics, to evaluate mechanisms of antimicrobial resistance and the potential for zoonotic transmission from animals to humans and between other bacteria via plasmid exchange.
Materials and Methods
Isolation of CTX-M/CMY-2 Producing Bacteria and E. coli
Samples (n = 1,098) including animal feces (n = 840) and environmental samples (forage: 93, soil: 77, and water: 88) were collected from 17 commercial beef cattle farms in Florida (Figure 1A) between February and June 2016 and plated on MacConkey agar containing cefotaxime (4 μg/mL). CRB colonies from each sample were screened for the CTX-M and CMY-2 genes using a polymerase chain reaction (PCR) assay as previously described (Edelstein et al., 2003). If a sample contained less than 10 colonies, we screened all the colonies. If CRB colonies were more than 10 colonies per sample, we randomly selected ten CRB colonies with different morphologies for the screening. The PCR conditions were as follows: 94°C for 5 min, 35 cycles at 94°C for 30 s, 52°C for 30 s, 72°C for 1 min and 72°C for 10 min for a final extension. The primer sets used to screen the CTX-M and CMY-2 genes: KCP685 (5′-TTTGCGATGTGCAGTACCAGTAA-3′) and KCP686 (5′-CGATATCGTTGGTGGTGCCATA-3′) for the CTX-M gene and KCP556 (5′-ATGATGAAAAAATCGTTATGC-3′) and KCP557 (5′-TTGCAGCTTTTCAAGAATGCGC-3′) for the CMY-2 gene (Mir et al., 2016). E. coli were selected on CHROMagar E. coli (CHROMagar, France) after overnight incubation at 37°C. The concentration of CTX-M or CMY-2 encoding CRB in each sample was calculated by multiplying the percentage of CTX-M/CMY-2 encoding CRB in 10 isolates with the concentration of CRB in the sample.
Whole Genome Sequencing and Phylogeny Analysis
Genomic DNA of 59 ESBL/AmpC producing E. coli isolates were extracted with the DNeasy blood and tissue kit (Qiagen, United States) prior to DNA library construction with Nextera XT sample preparation kit (Illumina, United States). Strains were sequenced using an Illumina MiSeq with cartridges providing 2 × 250 paired-end read coverage. Sequencing reads were trimmed using Sickle (Joshi and Fass, 2011) followed by de novo assembly with SPAdes 3.0 (Bankevich et al., 2012). All of the assembled contigs from 59 isolates were reordered based on the whole genome sequences of Sakai (NC_002695.1) as the reference using Mauve (Rissman et al., 2009). Parsnp software of Harvest suite (v1.2) (Treangen et al., 2014) was applied to generate maximum likelihood phylogenetic trees based on core-genome single nucleotide polymorphism (SNP). Recombination within assembled sequences was detected with PhiPack (Bruen et al., 2006), and the phylogenetic tree was generated with FastTree (Price et al., 2010) using 1,000 bootstrap replicates embedded in Parsnp software. Final tree annotations were modified using FigTree1. All of the reference genomes were downloaded from Enterobase2, and Parsnp program was also used to generate the phylogenetic trees based on the sequencing type (ST).
Minimum Inhibitory Concentration and Antimicrobial Susceptibility Test
The antibiotic resistance of 59 ESBL/AmpC producing E. coli isolates was evaluated by minimum inhibitory concentration (MIC) of cefotaxime and antimicrobial susceptibility test (AST). MIC testing was performed using a micro-broth dilution method that followed the Clinical and Laboratory Standards Institute (CLSI) guidelines (CLSI, 2015, 2016). The concentration of cefotaxime was serially diluted with Mueller Hinton Broth (MHB) from 0 to 256 μg/mL with the MIC defined by the highest concentration among three replicates. The ESBL-producing strain KCJ1409 was used as a positive control, and DH5α as a negative control (Mir et al., 2016). The standard Kirby Bauer disk diffusion method on Mueller Hinton Agar (MHA) was used to test susceptibility against the following 13 antibiotics: amikacin (30 μg), ampicillin (10 μg), amoxicillin/clavulanic acid (30 μg), sulfisoxazole (250 μg), ceftiofur (30 μg), chloramphenicol (30 μg), cephalothin (30 μg), gentamicin (10 μg), nalidixic acid (30 μg), streptomycin (10 μg), sulfamethoxazole/trimethoprim (23.75 μg/1.25 μg), tetracycline (30 μg), and colistin (10 μg) (BD, United States). E. coli (ATCC 35401), Staphylococcus aureus (ATCC 25923), and Pseudomonas aeruginosa (ATCC 27853) were used as controls.
Genetic Characterization of ESBL/AmpC Producing E. coli
The Center for Genomic Epidemiology (CGE) database was used to identify bacterial species, β-lactamase genes, multi locus sequence types (MLST), serotypes, plasmid replicon types, and plasmid MLST (pMLST) of each isolate with the de novo assembled contigs (Zankari et al., 2012). Phylogenetic groups were generated in silico based on the presence of chuA, yjaA, and TSPE4.C2 genes as previously described (Clermont et al., 2000). The Resistance Gene Identifier (RGI) in Comprehensive Antibiotic Resistance Database (CARD) (version 1.2.1) was used to create antimicrobial resistance gene (ARG) profiles for each isolate based on homology and SNP models (Jia et al., 2017). To investigate virulence genes, whole genome sequence of the isolates was compared to the reference sequences of virulence genes in Virulence Factors Database (VFDB) (last update: October 2017) by BLAST (Chen et al., 2016). Only genes with query and subject coverage higher than 50%, were considered present. To investigate whether CTX-M and CMY-2 genes were located in plasmid or chromosome, the contigs containing the CTX-M and CMY-2 genes were blasted to the NCBI database using BLASTn, and the location of the CTX-M and CMY-2 genes were determined along with any insertion sequences (IS). The genetic environments of CTX-M and CMY-2 genes were compared with GenBank files of sequenced strains and visualized by the Easyfig tool (Sullivan et al., 2011).
Comparison of Genome Function
To investigate the functional genomic differences between the isolates, the functional modules of the isolates were reconstructed and compared using Kyoto Encyclopedia of Genes and Genomes (KEGG) (Kanehisa et al., 2016a, b). The annotated amino acid sequences were submitted to BlastKOALA (Kanehisa et al., 2016b) to receive corresponding KEGG Orthology (KO) numbers of the coding sequences (CDS) prior to reconstruction of the functional modules using KO numbers of each isolate. Orthologous proteins were identified and compared using InParanoid standalone version 4.1 program as previously described (Sonnhammer and Ostlund, 2015). Translated CDS of each isolate were downloaded from NCBI and used as the input file. The output files of InParanoid program were further processed with in-house developed Python scripts to distinguish between core and unique proteins.
Epithelial Cell Adherence Assay
The ability of the ESBL/AmpC producing E. coli to adhere to human intestinal epithelial cells evaluated via the following protocol. Caco-2 cells were maintained in Dulbecco’s modified Eagle medium (DMEM; Corning Inc., United States) supplemented with 20% fetal bovine serum (FBS; Hyclone, United States) at 37°C and 5% CO2. Caco-2 cells were seeded on a 24-well polystyrene plate with approximately 105 cells/well and grown to 90% confluence. Overnight culture of bacteria was seeded to new LB media (1:250) and cultured at 37°C for 8 h with shaking. The bacterial cells washed three times with sterile phosphate buffered saline (PBS). Approximately 106 bacterial cells were resuspended in 500 μL DMEM, inoculated into the wells containing Caco-2 cells (a multiplicity of infection; MOI of 10), and incubated for 3 h. After first incubation, all the wells were replaced by fresh DMEM followed by another incubation for 3 h. After 6 h incubation in total, the media was removed from each well, and Caco-2 cells washed three times with sterile PBS to eliminate unattached bacterial cells. Caco-2 cells were lysed and adhered bacterial cells were detached by adding 1 mL of 1% Triton X-100 and pipetting. Serial dilutions of the suspensions were spread on LB and colonies on the agar plates were enumerated after overnight incubation at 37°C. Each experiment was conducted twice in duplicate with EDL933 and DH5α as positive and negative controls, respectively. Statistical differences were analyzed by the one-way analysis of variance (ANOVA) followed by Tukey’s test (α = 0.05).
Results
Prevalence and Concentration of ESBL and AmpC Producing E. coli
Of the 17 commercial farms (Figure 1A), 16 farms contained CTX-M positive bacteria with the prevalence ranging from 2.3 to 25.0% (average = 9.44%; Figure 1B). CMY-2 positive bacteria were identified from eight farms with the prevalence ranging from 1.2 to 6.17% (average = 3.02%; Figure 1B), and three farms had bacteria with both CTX-M and CMY-2 genes (Figure 1B). The concentration of CTX-M and CMY-2 positive bacteria were variable among farms with an average of 1.53 log CFU/g of feces (Table 1). Approximately 53% (9/17) of farms had CTX-M positive E. coli, 35% of the farms (6/17) contained CMY-2 positive E. coli, and 18% of the farms (3/17) carried E. coli with both CTX-M and CMY-2 genes (Figure 1C). The average prevalence of E. coli isolates with CTX-M, CMY-2, or both genes on farms was 5.66, 2.62, and 5.96%, respectively (Figure 1C). The average concentration of CTX-M or CMY-2 encoding E. coli among the farms was 1.49 and 1.51 log CFU/g of feces, respectively (Table 1).
TABLE 1.
Farm |
CTX-M positive |
CMY-2 positive |
||||||
Bacteria |
E. coli |
Bacteria |
E. coli |
|||||
Concentration (LogCFU/g) | SDb | Concentration (LogCFU/g) | SD | Concentration (LogCFU/g) | SD | Concentration (LogCFU/g) | SD | |
1 | –a | – | – | – | 1.10 | – | 1.10 | – |
2 | 1.59 | 0.31 | – | – | 1.80 | – | 1.80 | – |
3 | 2.57 | 0.61 | 2.33 | 0.34 | – | – | – | – |
4 | 1.51 | 0.42 | 1.30 | – | – | – | – | – |
5 | 1.68 | 0.78 | – | – | – | – | – | – |
6 | 1.14 | – | – | – | – | – | – | – |
7 | 1.38 | 0.34 | – | – | – | – | – | – |
9 | 1.46 | 0.40 | 1.49 | 0.42 | 1.17 | 0.17 | 1.31 | 0.19 |
10 | 1.70 | 0.63 | 1.61 | 0.53 | 3.21 | – | – | – |
11 | 1.29 | 0.24 | 1.49 | 0.12 | 1.30 | 0.17 | 1.30 | 0.17 |
12 | 1.10 | – | 1.01 | – | – | – | – | – |
13 | 1.22 | 0.24 | – | – | – | – | – | – |
15 | 1.29 | 0.34 | – | – | – | – | – | – |
16 | 1.10 | – | – | – | 1.10 | – | – | – |
17 | 1.18 | – | 1.18 | – | 1.80 | – | 1.80 | – |
18 | 1.63 | 1.07 | 1.63 | 1.07 | 1.76 | 1.14 | 1.76 | 1.14 |
19 | 1.17 | 0.12 | 1.35 | – | – | – | – | – |
Average | 1.44 | 0.36 | 1.49 | 0.37 | 1.66 | 0.70 | 1.51 | 0.31 |
aThe number of positive sample is zero or one. bSD, standard deviation.
As potential routes, antibiotic resistant bacteria can be transferred to animals through the environment, without the exposure of antibiotics before (Mir et al., 2016, 2018; Teng et al., 2019). To understand whether farm environment could be outside sources of antibiotic resistant bacteria in animals, and to identify which environmental factors are mostly critical to the animals, the prevalence and concentration of CTX-M and CMY-2 positive isolates were compared based on the sample types. The prevalence of CTX-M producing bacteria in fecal, soil, forage, and water samples were 8.9, 18.1, 17.2, and 5.6%, respectively (Figure 1D). CMY-2 producing bacteria were found in 1.5 and 2.5% of fecal and soil samples, respectively (Figure 1D). The prevalence of CTX-M and CMY-2 producing bacteria were higher in soil (20.78%) and forage samples (17.2%) than fecal samples (11.7%), and only fecal samples contained bacteria with both CTX-M and CMY-2 genes (1.19%) (Figure 1D). In contrast, the prevalence of CTX-M or CMY-2 producing E. coli in cattle on farms positive with these bacteria was higher than environmental samples, where the prevalence was 5.49% in feces, 3.89% in soil, and 1.07% in forage (Figure 1E). The concentrations of CTX-M/CMY-2 producing bacteria and E. coli were higher in environmental samples compared to animal samples (Table 2).
TABLE 2.
CTX-M positive |
||||||
Bacteria |
E. coli |
|||||
Sample type | Positive samples (n) | Concentration (logCFU/g or L) | SDb | Positive samples (n) | Concentration (logCFU/g or L) | SD |
Fecal | 85 | 1.53 | 0.60 | 39 | 1.59 | 0.67 |
Forage | 16 | 4.90 | 1.54 | 1 | 2.27 | –a |
Soil | 14 | 4.31 | 0.78 | 3 | 4.78 | 0.40 |
Water | 5 | –1.01 | 0.51 | 0 | – | – |
CMY-2 positive |
||||||
Bacteria |
E. coli |
|||||
Sample type | Positive samples (n) | Concentration (logCFU/g or L) | SD | Positive samples (n) | Concentration (logCFU/g or L) | SD |
Fecal | 23 | 1.52 | 0.80 | 17 | 1.56 | 0.80 |
Forage | 0 | – | – | 0 | – | – |
Soil | 2 | 4.04 | 0.37 | 0 | – | – |
Water | 0 | – | – | 0 | – | – |
aThe number of positive sample is zero or one. bSD, standard deviation.
Genetic Relationship Within Commercial Farms Isolates
Genetic relatedness among commercial farm isolates was investigated to understand the transmission of ESBL/AmpC producing E. coli among commercial farms, including 56 strains from feces (calf: 45 and cow: 11), and three environmental strains (one from forage and two from soil). Seventeen sequencing types were shown in our isolates, and the predominant MLST was ST10 (n = 11) (Table 3). As the other sequencing types, there are ST5727 (n = 10), ST1266 (n = 1), ST4086 (n = 4), ST906 (n = 2), ST744 (n = 8), ST4086 (n = 2), ST6353 (n = 1), ST685 (n = 1), ST101 (n = 1), ST6416 (n = 2), ST1121 (n = 2), ST1674 (n = 1), ST2509 (n = 1), ST1172 (n = 6), ST6465 (n = 3), ST6466 (n = 1), and ST20 (n = 2) (Table 3). Most of the isolates had same sequencing types if the strains were isolated from the same farm with a few exceptions. Forty-four percent (26/59) of the isolates were allocated to phylogroup A, 34% (20/59) to phylogroup B1, 18% (11/59) to phylogroup B2, and only two isolates were belonged to phylogroup D (Table 3).
TABLE 3.
Strain | Species | Source (Farm#/Source) | β-lactamase genes | MLST | Serotype | Phylo-groups | Location of β-lactamase | Predicted plasmids | pMLST |
KCJK9a | E. coli | 1/Calf feces | CMY-2 | 1266 | O161:H34 | B2 | Plasmid | IncX, IncP | NAb |
KCJK326a | E. coli | 2/Calf feces | CMY-2 | 4086 | :H10 | B1 | Plasmid | Col156, IncA/C2, ColRNAI | NA |
KCJK327 | E. coli | 2/Calf feces | CMY-2 | 4086 | :H10 | B1 | Plasmid | Col156, IncA/C2, ColRNAI | NA |
KCJK328 | E. coli | 2/Calf feces | CMY-2 | 4086 | :H10 | B1 | Plasmid | Col156, IncA/C2, ColRNAI | NA |
KCJK329 | E. coli | 2/Calf feces | CMY-2 | 4086 | :H10 | B1 | Plasmid | Col156, IncA/C2, ColRNAI | NA |
KCJK330 | E. coli | 2/Calf feces | CMY-2 | 4086 | :H10 | B1 | Plasmid | Col156, IncA/C2, ColRNAI | NA |
KCJK467a | E. coli | 2/Forage | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK500 | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK501a | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK502 | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK506 | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK507a | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK511 | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK512 | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK513 | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK514a | E. coli | 3/Calf feces | CTX-M-1, TEM-1A | 5727 | O27:H9 | B2 | Plasmid | IncY, IncR, ColRNAI | NA |
KCJK2721a | E. coli | 4/Calf feces | CTX-M-1 | 906 | O150:H8 | B1 | Plasmid | IncF, IncHI, IncQ, ColRNAI | F-:A8:B24, HI1:ST-2 |
KCJK2722a | E. coli | 4/Calf feces | CTX-M-1 | 906 | O150:H8 | B1 | Plasmid | IncF, IncHI, IncQ, ColRNAI | F-:A8:B24, HI1:ST-2 |
KCJK3864a | E. coli | 9/Calf feces | CTX-M-1, TEM-1A | 744 | O89:H9 | A | Plasmid | IncF, IncR, IncQ, ColRNAI, ColMG828 | F14:A6:B45 |
KCJK3886a | E. coli | 9/Calf feces | CTX-M-1, TEM-1A | 744 | O89:H9 | A | Plasmid | IncF, IncR, IncQ, ColRNAI, ColMG828 | F14:A6:B45 |
KCJK3889 | E. coli | 9/Calf feces | CTX-M-1, TEM-1A | 744 | O89:H9 | A | Plasmid | IncF, IncR, IncQ, ColRNAI, ColMG828 | F14:A6:B45 |
KCJK3893 | E. coli | 9/Calf feces | CTX-M-1, TEM-1A | 744 | O89:H9 | A | Plasmid | IncF, IncR, IncQ, ColRNAI, ColMG828 | F14:A6:B45 |
KCJK3909a | E. coli | 9/Calf feces | CTX-M-1, TEM-1A | 744 | O89:H9 | A | Plasmid | IncF, IncR, IncQ, ColRNAI, ColMG828 | F14:A6:B45 |
KCJK3910 | E. coli | 9/Calf feces | CTX-M-1, TEM-1A | 744 | O89:H9 | A | Plasmid | IncF, IncR, IncQ, ColRNAI, ColMG828 | F14:A6:B45 |
KCJK3915a | E. coli | 9/Calf feces | CMY-2 | 4086 | O53:H10 | B1 | Plasmid | IncF, IncA/C, ColMG828 | C1:A-:B16 |
KCJK3920 | E. coli | 9/Calf feces | CTX-M-1, TEM-1A | 744 | O89:H9 | A | Plasmid | IncF, IncR, IncQ1, ColRNAI, ColMG828 | F14:A6:B45 |
KCJK3945a | E. coli | 9/Calf feces | CMY-2 | 6353 | O132:H18 | B1 | Plasmid | IncHI, IncF, ColRNAI, IncB/O/K/Z | F6:A-:B, HI1:Unknown |
KCJK4127a | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | D | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4137 | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4139 | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR, ColpVC | F2:A-:B- |
KCJK4140a | E. coli | 10/Cow feces | CTX-M-32, TEM-1A | 685 | O123:H32 | A | Chromosome | IncX | NA |
KCJK4144 | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR, ColRNAI | F2:A-:B- |
KCJK4148 | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4158 | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4162a | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4166 | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4176 | E. coli | 10/Cow feces | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR, ColpVC | F2:A-:B- |
KCJK4181a | E. coli | 10/Soil | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4201 | E. coli | 10/Soil | CTX-M-27, TEM-1A | 10 | :H32 | A | Plasmid | IncF, IncR | F2:A-:B- |
KCJK4405a | E. coli | 12/Cow feces | CTX-M-1 | 101 | :H40 | B1 | Plasmid | IncF | F19:A-:B38 |
KCJK4726a | E. coli | 11/Calf feces | CTX-M-1, TEM-1A | 6416 | O108:H29 | B1 | Plasmid | IncY, IncR | NA |
KCJK4727a | E. coli | 11/Calf feces | CMY-2 | 1121 | :H48 | A | Plasmid | IncF, IncA/C2 | C1:A6:B16 |
KCJK4729a | E. coli | 11/Calf feces | CTX-M-1, TEM-1A | 6416 | O108:H29 | B1 | Plasmid | IncY, IncR | NA |
KCJK4744a | E. coli | 11/Calf feces | CMY-2 | 1121 | :H48 | A | Plasmid | IncF, IncA/C2 | C1:A6:B16 |
KCJK4934a | E. coli | 17/Calf feces | CMY-2 | 1674 | O11:H25 | D | Plasmid | IncI1 | I1:ST-2 |
KCJK4935a | E. coli | 17/Calf feces | CMY-2 | 2509 | :H23 | A | Plasmid | IncA/C2 | NA |
KCJK4937a | E. coli | 17/Calf feces | CTX-M-55 | 744 | O89:H9 | A | Plasmid | IncF, IncQ, ColRNAI | F18:A-:B1 |
KCJK5106a | E. coli | 18/Calf feces | CMY-2 | 1172 | O184:H48 | B1 | Plasmid | IncF, IncA/C2, ColRNAI | F16:A-:B23 |
KCJK5108a | E. coli | 18/Calf feces | CMY-2 | 1172 | O184:H48 | B1 | Plasmid | IncF, IncA/C2, ColRNAI | F16:A-:B23 |
KCJK5139 | E. coli | 18/Calf feces | CTX-M-32 | 6465 | :H9 | A | Chromosome | NA | NA |
KCJK5142a | E. coli | 18/Calf feces | CTX-M-32 | 6465 | :H9 | A | Chromosome | NA | NA |
KCJK5143a | E. coli | 18/Calf feces | CTX-M-15, TEM-1B | 6466 | O127:H36 | A | Plasmid | IncF | F-:A-:B53 |
KCJK5144a | E. coli | 18/Calf feces | CMY-2 | 20 | :H2 | B1 | Plasmid | IncF, IncHI, IncA/C2 | F2:A8:B12, HI1:Unknown |
KCJK5146a | E. coli | 18/Calf feces | CMY-2 | 20 | O128ac:H2 | B1 | Plasmid | IncF, IncHI, IncA/C2 | F2:A8:B12, HI1:ST-2 |
KCJK5148a | E. coli | 18/Calf feces | CMY-2 | 1172 | O184:H48 | B1 | Plasmid | IncF, IncA/C2, ColRNAI | F16:A-:B23 |
KCJK5158a | E. coli | 18/Calf feces | CMY-2 | 1172 | O184:H48 | B1 | Plasmid | IncF, IncA/C2, ColRNAI | F16:A-:B23 |
KCJK5161 | E. coli | 18/Calf feces | CMY-2 | 1172 | O184:H48 | B1 | Plasmid | IncF, IncA/C2, ColRNAI | F16:A-:B23 |
KCJK5162 | E. coli | 18/Calf feces | CMY-2 | 1172 | O184:H48 | B1 | Plasmid | IncF, IncA/C2, ColRNAI | F16:A-:B23 |
KCJK5395a | E. coli | 19/Calf feces | CTX-M-32 | 6465 | :H9 | A | Chromosome | NA | NA |
aThe isolates are representative isolates to further analyze. bNA, not available.
Through the phylogeny analysis based on core-genome SNPs, fifty-nine CTX-M/CMY-2 positive E. coli isolates were grouped into 17 clades, consistent with their MLST (Figure 2 and Table 3). Most of the isolates were clustered specifically based on farm location (Figure 2), showing farm specificity. However, some clusters contained strains from different farms. For example, KCJK467, which was isolated from a forage sample in farm 2, was clustered with cattle isolates from farm 3. In addition, KCJK5139 and KCJK5142 were located in the same cluster with KCJK5395, even though they were isolated from different farms, farm 18 and 19, respectively (Figure 2). This suggests that there are carriers outside beef farms, which can cause the transmission of ESBL/AmpC producing E. coli between farms.
Antimicrobial Susceptibility Test
All of the isolates showed a MIC of cefotaxime equal or greater than 16 μg/mL, and most of the isolates harboring the CTX-M gene had higher MIC than the isolates with CMY-2 gene (Figure 3 and Table 3). Ten isolates (16.4%) required more than 256 μg/mL of cefotaxime to be inhibited their growth. Antibiotic susceptibility patterns with 13 different antibiotics revealed multi-drug resistance against 4 to 12 different antibiotics. All tested strains were resistant to sulfisoxazole, ampicillin, and cephalothin. Apart from gentamicin, nalidixic acid, amikacin, amoxicillin/clavulanic acid, and colistin, more than 70% of the isolates showed antibiotic resistance against other 8 antibiotics (sulfisoxazole: 100%, tetracycline: 84%, sulfamethoxazole/trimethoprim: 96%, chloramphenicol: 79%, streptomycin: 84%, ampicillin: 100%, cephalothin: 100%, and ceftiofur: 96%) (Figure 3). Notably, KCJK5143 strain was one of the isolates having a MIC of cefotaxime higher than 256 μg/mL, and KCJK5106 isolate was resistant to all antibiotics except colistin. Both two strains were isolated from the farm 18, where the farm indicated the highest prevalence of CTX-M/CMY-2 producing E. coli (Figure 1C).
Identification of Antimicrobial Resistance Genes and Virulence Profiles
Out of 59 isolates, we selected 34 representative isolates for further studies based on the similarity of genome structure, originated farms and sample types (Figure 2 and Supplementary Figure S1). The profile of ARGs indicated that the representative isolates harbored multiple ARGs, which consisted 12 classes of ARGs (i.e., aminoglycoside, polymyxin, peptide antibiotics, phenicol, β-lactam, diaminopyrimidine, lincosamide, macrolide, streptogramin, fosfomycin, fluoroquinolone, and sulfonamide) and efflux pump complex. Isolates with same ST indicated similar ARG profiles, and all of the isolates contained polymyxin (arnA, pmrC, and pmrF), peptide antibiotics (bacA), fluoroquinolone (mfd) resistance genes, and efflux pump systems as well as β-lactamase genes (CMY-2, CTX-M, or TEM), regardless of their ST (Figure 4), coinciding with the AST result, which showed that all isolates were multidrug resistant.
In addition to the ability of antibiotic resistance, the isolates had versatile virulence factors (VFs). VFs associated with adherence, chemotaxis, iron uptake, type II (T2SS) and III (T3SS) secretion systems, invasion, and toxin were identified (Figure 5). Notably, adherence (flagella; flgCGH, fliGMP and curli; csgBFG), chemotaxis (cheBWY), and iron uptake (enterobactin; entABCDEFS, fepABCDG) VFs were common across all the representative isolates (Figure 5). The number of VFs ranged from 35 to 100. Mostly, phylogroup B2 and D had higher number of VFs compared to A and B1 groups with a few exceptions as previously reported (Salipante et al., 2015). Some isolates (KCJK5144, KCJK5146, and KCJK3945) were belonging to phylogroup B1, but it showed higher number of VFs unlike other phylogroup B1 strains. In particular, VFs associated with extraintestinal pathogenic E. coli (ExPEC) were found from our isolates (Pitout, 2012), including fimH (type I fimbriae: adhesins), kpsM (capsule), iutA (siderophore receptor), fyuA (siderophore receptor), and hlyD (hemolysin: toxin), even though the isolate with all above VFs at the same time was not identified. KCJK5144 and KCJK5146 encoded T3SS and effector proteins containing Tir (translocated intimin receptor), Nle (non−LEE encoded effectors), EspG (Escherichia secretion protein), and Cif (cycle inhibiting factor). KCJK5144 and KCJK5146 strains contained 95 and 100 VFs respectively, which were the highest number of VFs among the 34 representative isolates (Figure 5).
Adhesion of CTX-M and CMY-2 Producing E. coli to Human Cells
We found all of the ESBL and AmpC producing E. coli isolates shared VFs associated with adherence through in silico analysis (Figure 5). To evaluate adhesion property of CTX-M and CMY-2 positive E. coli isolates with in vitro biochemical assays, adherence assay was conducted with human colon carcinoma cell line (Caco-2). The adherence ability of the representative strains from animal sources was compared with EDL933 as a positive control and DH5α as a negative control (Figure 6). Out of 32 isolates, seven and six isolates showed significantly high and low adhesion respectively, compared to EDL933 (P < 0.05) (Figure 6). Most of the isolates (59%, 19/32) were comparable with EDL933, but significantly higher than DH5α (P < 0.05). Notably, KCJK5106, KCJK5148, and KCJK5158, which showed higher adherence ability, were harboring more adherence VFs such as papD, pefC, and pefD (Figures 5, 6). KCJK4726, KCJK4729, KCJK5142, and KCJK5395 strains, which showed lower adherence, did not contain fimbriae genes (fimABCDEFGHI) and E. coli common pilus (ECP) genes (ecpABCDE), both of them are necessary for the effective adhesion (Figures 5, 6) (Alcántar-Curiel et al., 2013; Li et al., 2018).
Functional Genomic Analysis
To investigate potential differences of functional capability between fecal and environmental isolates, we identified and compared the KEGG functional modules of the 19 isolates from 17 different STs, including the isolates from the cattle feces, forage, and soil. The KEGG functional modules were classified into four catagories, including complete module, module with one block missing, module with two blocks missing, and incomplete module. A total of 346 functional modules were identified. Among these modules, 278 modules were conserved in all isolates, while the other 68 modules were different among the isolates (Figure 7A). KCJK467, the forage isolate, and KCJK501, the fecal isolate, harbored almost identical functional modules, except for the module related to erythritol transport system (M00590). Similarly, KCJK4181, the soil isolate, and KCJK4162, the fecal isolate, carried highly similar functional modules with only the difference in tetrahydrofolate biosynthesis (M00126 and M00841).
To further investigate the similarity of these two pairs of isolates, we compared individual proteins in each isolates by identifying orthologous proteins. A total of 4,904 CDS were identified as orthologous proteins shared by KCJK467 and KCJK501, while 18 and 17 CDS were unique in KCJK467 and KCJK501, respectively (Figure 7B). These unique CDS were mostly related to hypothetical proteins (Supplementary Table S1). KCJK4162 and KCJK4181 had 4,798 common CDS, as well as 74 and 69 unique CDS, respectively (Figure 7B). The functions of the unique CDS were hypothetical proteins and IS1 family transposase (Supplementary Table S2). The comparison result of CDS between fecal and environmental isolates are concordant to the comparison result of the KEGG functional modules that fecal and environmental isolates are quite similar, underlining the capability of ESBL-producing E. coli to be transmitted between different niches.
Characterization of CTX-M and CMY-2 Genes on E. coli
All sequenced E. coli isolates had either CMY-2, CTX-M, or TEM types of β-lactamase genes (Table 3). The most prevalent gene type was CTX-M (39/59; 66.10%), and the CTX-M types included CTX-M-1 (n = 22), CTX-M-15 (n = 1), CTX-M-27 (n = 12), CTX-M-32 (n = 3), and CTX-M-55 (n = 1). CMY-2 was present in 33.89% of the isolates (20/59), and 54.23% (32/59) isolates encoded TEM-1A or TEM-1B genes. Especially, the isolates with TEM gene co-harbored CTX-M gene (Table 3). Most of them encoded β-lactamase genes in their plasmid, and only four isolates (6.7%) included the genes in their chromosomal DNA. All of the four isolates had same ESBL gene type as CTX-M-32 (Table 3). The most prevalent plasmid type in all isolates was IncF and IncR groups, and other Inc groups, including IncX, IncP, IncA/C2, IncY, IncHI, IncQ, IncI, and IncB/O/K/Z, were also found. As another plasmid type, there were Col156, ColRNAI, ColMG828, and ColpVC (Table 3).
Interestingly, genetic environment of β-lactamase genes showed high similarity between isolates, even though the isolates were isolated from different farms (Figure 8 and Supplementary Figures S2A–E). Depending on their β-lactamase gene types, we divided the isolates into different groups (Figures 8A–D) and compared the contigs harboring β-lactamase genes (Supplementary Figures S2A–E). Regardless of their sources, genetic environment of β-lactamase genes showed the high homology if the isolates had same β-lactamase gene type (Figure 8 and Supplementary Figures S2A–E). Although the isolates in CTX-M-1 group were not identified any IS due to the short length of contigs (Figure 8B), most isolates in other groups, such as CMY-2, CTX-M-27, CTX-M-32, CTX-M-15, and CTX-M-55, carried IS1380 family insertion sequences in common, and the IS1380 element was located upstream of CTX-M and CMY-2 genes (Figures 8A,C,D). In particular, the isolates encoding CMY-2 gene harbored IS in the upstream and sugE gene in the downstream as previously reported (Singh et al., 2018). Furthermore, the set of tra genes related to conjugal transfer system was co-identified in the isolates with CMY-2 (Figure 8A). Other virulence genes associated with ARGs and toxins were located near β-lactamase genes as well. These results suggest that wide spread of β-lactamase genes may be caused by the existence of IS and conjugation systems, and additional virulence genes could be acquired at the same time when β-lactamase genes are transferred to others through horizontal gene transfer (Yamashita et al., 2014).
Global Transmission of Commercial Farm Isolates
To compare genetic relationship between our isolates and global strains from diverse sources, a phylogenetic tree was analyzed to understand the originated sources. Depending on the MLST, we generated phylogenetic trees with relevant strains available on Enterobase, a database of E. coli with metadata and genotypes based on whole genome assemblies (Figure 9 and Supplementary Figures S3A–O) (Tagini and Greub, 2017). Out of 17 different ST, ST6465 included only our isolates, thus, we excluded ST6465 to generate a phylogenetic tree. Other 16 ST contained the isolates originated from diverse sources (i.e., human, cattle, swine, wild animals, food, and environment) and countries. The isolates used in this study were closely clustered with the reference strains, however, they were not clonal variants (Supplementary Figures S3A–O). Some isolates had relatively small number of SNPs, indicating that the isolates may have a same ancestor strain experiencing spontaneous genetic changes, gene transfer, or evolutionary processes in different areas (Guenther et al., 2012; Livermore, 2012; Watson et al., 2012). For instance, there were 2,283 SNPs between KCJK5144, isolated from cattle in this study, and 158903 that was originated from human in the United Kingdom (Figure 9). Furthermore, KCJK5144 strain showed close genetic distances with cattle and environmental strains from other countries as well, suggesting the isolate could be transmitted from outside sources through migrated birds or direct human contacts.
Discussion
All commercial cow/calf operations tested in this study contained either CTX-M or CMY-2 positive bacteria, and more than half of the farms carried both CTX-M and CMY-2 producing E. coli. The prevalence and concentration of CTX-M or CMY-2 genes were high in environmental samples, and environmental isolates were closely related to isolates from cattle feces. By comparing genome sequences, it was more likely that these bacteria were transmitted between farms in North Central Florida, as well as arising independently as clones within farms. In general, antibiotic use in animals is known to accelerate the advent of antibiotic resistant bacteria (Smith et al., 2002). In addition to antibiotic usage, the selection pressure during the process of evolution in microbial communities could be another reason for naturally occurring antibiotic resistant bacteria. Recent studies suggested that genomic breed composition of cattle was also associated with different gut microbiota structure (Fan et al., 2019a) that affects the colonization of antibiotic resistant bacteria (Fan et al., 2019b). In these cases, the prevalence of antibiotic resistant bacteria might not be directly correlated with antibiotic usage, and even farms without antibiotic supplementation contained ESBL and AmpC producing bacteria in both environmental and fecal samples (Mir et al., 2016, 2018; Teng et al., 2019), coinciding with the results of our study (Figures 1B,D). Remarkably, some farms evaluated in this study did not have CTX-M or CMY-2 producing E. coli (i.e., farm 5, 6, 7, 13, 15, and 16), even though these farms were geographically adjacent to the farms carried CTX-M or CMY-2 producing E. coli (Figure 1). Given the antibiotic resistance mitigation strategies suggested by Ma et al. (2019), it is plausible that farm managements such as animal herd size, feeding practices, and farm hygiene might have resulted the differences in the prevalence of CTX-M/CMY-2 producing E. coli in these farms. Further investigation seeking the factors that reduce the prevalence of CTX-M/CMY-2 producing E. coli will be needed to develop effective mitigating strategies for antimicrobial resistance.
Most ESBL and AmpC β-lactamase genes are carried through plasmid DNA, thus, the genes can be easily acquired, deleted, and evolved between bacteria through horizontal gene transfer. Except for CTX-M-32, other ESBL genes were encoded in plasmid, and IncF and IncR were the major identified plasmids across the isolates. IncF has been reported that it carries various resistance genes of aminoglycoside, quinolone, and efflux pumps (Carattoli, 2009), and IncR plasmid also harbors resistant genes to many antibiotics including β-lactams, sulfonamides, quinolones, aminoglycosides, tetracyclines, chloramphenicol, and trimethoprim (Rozwandowicz et al., 2018). Our results also showed resistance ability of CTX-M and CMY-2 producing E. coli against clinically important antibiotics, which consisted of the class of aminoglycoside, penicillin, polypeptide, quinolone, sulfonamide, tetracycline, and cephalosporin. This suggests that the E. coli encoding CTX-M and CMY-2 genes isolated from food animals could pose a risk to humans if zoonotic transmission occurs (Nikaido and Pagès, 2012; Wellington et al., 2013).
Among many types of CTX-M genes, CTX-M-15-producing ST131 E. coli is known as one of the most widely disseminated strains, and these strains have become a major problem causing many human cases of infections (Petty et al., 2014). These isolates are multidrug resistant and have virulence determinants with a high potential virulence compared to other CTX-M types of E. coli (Coque et al., 2008b; Coelho et al., 2011). The strain KCJK5143 was identified as CTX-M-15-producing E. coli and was assigned to ST6466. The strain had MIC of 256 μg/mL against cefotaxime which is far greater than the clinically permitted concentration of cefotaxime (64 μg/mL). In addition to E. coli with CTX-M-15, more than half of the isolates had higher MIC of cefotaxime than 64 μg/mL.
Most of the studies related to MLST of ESBL-producing E. coli have focused on the specific sequencing type (i.e., ST131), limited ESBL genes such as CTX-M-15, or focuses on clinical isolates, whereas the genomic characteristics of animal strains are studied less often. Non-biased studies are required to demonstrate the relatedness between human and animal isolates and to understand the genetic characteristics of ESBL-producing E. coli isolated from diverse hosts (Oteo et al., 2009). CTX-M-1 was the major type of CTX-M gene in this study. However, except for CTX-M-1, the distribution of other CTX-M types was not overlapped with Europe and Asia, showing that the distribution of CTX-M genes in E. coli is dependent on geographical areas (Brigante et al., 2005). ST10 was the predominant MLST, and ST10 has been reported from clinical samples indicating the ST10 isolates can colonize in humans as well as animal (Wang et al., 2016). Recent study also found that ESBL-producing E. coli ST10 occurred in both humans and cattle, and CTX-M-14 was the predominant CTX-M type among the bovine isolates (Day et al., 2019). In the central area of Spain, ESBL-producing E. coli ST10 was disseminated carrying CTX-M-14 (Coque et al., 2008a), and another study showed that ST10 E. coli carried CTX-M-14, SHV-12, CTX-M-9, CTX-M-15, and CTX-M-32 (Oteo et al., 2009). In our study, strains with ST10 harbored CTX-M-27 and TEM-1A, showing that sequencing types are associated with many ESBL genes not only a specific gene.
All isolates contained various VFs linked with adherence, chemotaxis, iron uptake, and bacterial secretion systems, and most of them have adhesion ability to human cells comparable to EDL933 that uses high adherence ability to cause diseases in host (Figures 5, 6). In particular, some isolates (KCJK5144 and KCJK5146) carried a pathogenicity island, the locus of enterocyte effacement (LEE) harboring the gene clusters of T3SS, adhesion, intimin, the translocated intimin receptor, and secreted effector proteins, showing the characteristics of enteropathogenic E. coli (EPEC) (Wong et al., 2011). Serotype of KCJK5146 was O128ac:H2 which is known as one of the most frequent serotypes of atypical EPEC (Alonso et al., 2016). Furthermore, KCJK5144 and KCJK5146 strains were clustered with human isolate having a small number of SNPs (Figure 9), suggesting that these ESBL/AmpC producing E. coli isolated from food animals could cause human diseases that would be resistant to multiple antibiotics. We can also identify VFs related to ExPEC strain from our isolates. Although most of ExPEC strains are limited to phylogroups B2 and D (Dale and Woodford, 2015), our isolates containing VFs related to ExPEC strains were not allocated as B2 or D only. Phylogroup A and B1 E. coli isolates also contained VFs associated with ExPEC, as previously reported (Valat et al., 2012).
ESBL/AmpC producing E. coli isolates were closely clustered with other global strains, showing the isolated strains in this study were not raised within specific area. Even though we cannot find clonal variants from reference sequences available on Enterobase, our isolates made mixed clusters with the reference strains, showing the genetic similarity between animal and clinical isolates (Platell et al., 2011). It is still challenging to identify vehicles and transmission routes despite the findings of transmission of ESBL/AmpC producing E. coli between farms (Wu et al., 2013). Controlled experiments to verify the transmission are necessary to understand the possible transmission routes mitigating rapid dissemination of ESBL/AmpC producing E. coli. In addition, plasmid transmission among different reservoirs has been reported with high level of similarity and small number of SNPs between plasmids from animal and clinical isolates (de Been et al., 2014). In our study, similar genetic environment of CTX-M and CMY-2 producing E. coli isolates regardless of the originated farms also supported that horizontal gene transfer between bacteria had occurred, and plasmid transmission is likely to happen causing the widespread of ESBL genes. From plasmid typing results, we can find that plasmid types were overlapped within farm area (Table 3). For further studies, plasmid sequences of ESBL/AmpC producing E. coli isolates could be analyzed to verify the relationship of plasmids among different isolates and the distribution of other ARGs located in plasmids.
In the current study, we investigated the presence of multi-drug resistant bacteria among cattle and the environment using whole genome sequencing and traditional techniques to identify both genotypic and phenotypic characteristics. Our research provides a detailed understanding of CTX-M and CMY-2 producing E. coli isolated from beef cow/calf production systems where animals are raised without antibiotic supplementation. This study demonstrates that even farm animals with seldom use of antibiotics serve as reservoirs of ESBL/AmpC producing bacteria and provide a possible zoonotic transmission into human populations. Our research highlights the need for further investigation of ESBL/AmpC producing E. coli in beef cattle and the implementation of diverse monitoring and control strategies in an effort to mitigate the global transmission of such genes to humans and health care systems.
Data Availability Statement
The datasets generated for this study can be found in the NCBI database under the BioProject PRJNA298331.
Ethics Statement
The animal study was reviewed and approved by the University of Florida, Institutional Animal Care and Use Committee (IACUC protocol #201308027).
Author Contributions
SL, LT, ND, TW, and KJ designed the study and drafted the manuscript. SL, LT, ND, and KJ collected the samples. SL and LT analyzed the data. SL and KJ finalized this manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding. This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under the award number 2015-68003-22971 to KJ.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2019.03076/full#supplementary-material
References
- Alcántar-Curiel M. D., Blackburn D., Saldaña Z., Gayosso-Vázquez C., Iovine N., De la Cruz M. A., et al. (2013). Multi-functional analysis of Klebsiella pneumoniae fimbrial types in adherence and biofilm formation. Virulence 4 129–138. 10.4161/viru.22974 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alonso M. Z., Sanz M. E., Irino K., Kruger A., Lucchesi P. M., Padola N. L. (2016). Isolation of atypical enteropathogenic Escherichia coli from chicken and chicken-derived products. Br. Poult. Sci. 57 161–164. 10.1080/00071668.2015.1135502 [DOI] [PubMed] [Google Scholar]
- Bankevich A., Nurk S., Antipov D., Gurevich A. A., Dvorkin M., Kulikov A. S., et al. (2012). SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J. Bioinform. Comput. Biol. 19 455–477. 10.1089/cmb.2012.0021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blaak H., Hamidjaja R. A., van Hoek A. H., de Heer L., de Roda Husman A. M., Schets F. M. (2014). Detection of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli on flies at poultry farms. Appl. Environ. Microbiol. 80 239–246. 10.1128/AEM.02616-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brigante G., Luzzaro F., Perilli M., Lombardi G., Colì A., Rossolini G. M., et al. (2005). Evolution of CTX-M-type β-lactamases in isolates of Escherichia coli infecting hospital and community patients. Int. J. Antimicrob. Agents 25 157–162. 10.1016/j.ijantimicag.2004.09.013 [DOI] [PubMed] [Google Scholar]
- Bruen T. C., Philippe H., Bryant D. (2006). A simple and robust statistical test for detecting the presence of recombination. Genetics 172 2665–2681. 10.1534/genetics.105.048975 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carattoli A. (2009). Resistance plasmid families in Enterobacteriaceae. Antimicrob. Agents Chemother. 53 2227–2238. 10.1128/aac.01707-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen L., Zheng D., Liu B., Yang J., Jin Q. (2016). VFDB 2016: hierarchical and refined dataset for big data analysis—10 years on. Nucleic Acids Res. 44 D694–D697. 10.1093/nar/gkv1239 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clermont O., Bonacorsi S., Bingen E. (2000). Rapid and simple determination of the Escherichia coli phylogenetic group. Appl. Environ. Microbiol. 66 4555–4558. 10.1128/aem.66.10.4555-4558.2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- CLSI, (2016). M100-S26 Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Sixth Informational Supplement. Wayne, PA: Clinical and Laboratory Standards Institute. [Google Scholar]
- CLSI, (2015). M100-S25 Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Fifth Informational Supplement. Wayne, PA: Clinical and Laboratory Standards Institute. [Google Scholar]
- Coelho A., Mora A., Mamani R., López C., González-López J. J., Larrosa M. N., et al. (2011). Spread of Escherichia coli O25b: H4-B2-ST131 producing CTX-M-15 and SHV-12 with high virulence gene content in Barcelona (Spain). J. Antimicrob. Chemother. 66 517–526. 10.1093/jac/dkq491 [DOI] [PubMed] [Google Scholar]
- Coque T. M., Baquero F., Canton R. (2008a). Increasing prevalence of ESBL-producing Enterobacteriaceae in Europe. Euro. Surveill. 13 1–11. [PubMed] [Google Scholar]
- Coque T. M., Novais Â, Carattoli A., Poirel L., Pitout J., Peixe L., et al. (2008b). Dissemination of clonally related Escherichia coli strains expressing extended-spectrum beta-lactamase CTX-M-15. Emerg. Infect. Dis. 14 195–200. 10.3201/eid1402.070350 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cottell J. L., Kanwar N., Castillo-Courtade L., Chalmers G., Scott H. M., Norby B., et al. (2013). blaCTX-M-32 on an IncN plasmid in Escherichia coli from beef cattle in the United States. Antimicrob. Agents Chemother. 57 1096–1097. 10.1128/aac.01750-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dale A. P., Woodford N. (2015). Extra-intestinal pathogenic Escherichia coli (ExPEC): disease, carriage and clones. J. Infect. 71 615–626. 10.1016/j.jinf.2015.09.009 [DOI] [PubMed] [Google Scholar]
- Day M. J., Hopkins K. L., Wareham D. W., Toleman M. A., Elviss N., Randall L., et al. (2019). Extended-spectrum β-lactamase-producing Escherichia coli in human-derived and foodchain-derived samples from England, Wales, and Scotland: an epidemiological surveillance and typing study. Lancet Infect. Dis. 19 1325–1335. 10.1016/s1473-3099(19)30273-7 [DOI] [PubMed] [Google Scholar]
- de Been M., Lanza V. F., de Toro M., Scharringa J., Dohmen W., Du Y., et al. (2014). Dissemination of cephalosporin resistance genes between Escherichia coli strains from farm animals and humans by specific plasmid lineages. PLoS Genet. 10:e1004776. 10.1371/journal.pgen.1004776 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Doi Y., Park Y. S., Rivera J. I., Adams-Haduch J. M., Hingwe A., Sordillo E. M., et al. (2013). Community-associated extended-spectrum beta-lactamase-producing Escherichia coli infection in the United States. Clin. Infect. Dis. 56 641–648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Edelstein M., Pimkin M., Palagin I., Edelstein I., Stratchounski L. (2003). Prevalence and molecular epidemiology of CTX-M extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella pneumoniae in Russian hospitals. Antimicrob. Agents Chemother. 47 3724–3732. 10.1128/aac.47.12.3724-3732.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ewers C., Bethe A., Semmler T., Guenther S., Wieler L. (2012). Extended-spectrum β-lactamase-producing and AmpC-producing Escherichia coli from livestock and companion animals, and their putative impact on public health: a global perspective. Clin. Microbiol. Infect. 18 646–655. 10.1111/j.1469-0691.2012.03850.x [DOI] [PubMed] [Google Scholar]
- Fan P., Bian B., Teng L., Nelson C. D., Driver J., Elzo M. A., et al. (2019a). Host genetic effects upon the early gut microbiota in a bovine model with graduated spectrum of genetic variation. ISME J. 14 302–317. 10.1038/s41396-019-0529-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fan P., Nelson C., Driver J., Elzo M. A., Jeong K. C. (2019b). Animal breed composition is associated with the hindgut microbiota structure and β-lactam resistance in the multibreed Angus-Brahman herd. Front. Microbiol. 10:1846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guenther S., Aschenbrenner K., Stamm I., Bethe A., Semmler T., Stubbe A., et al. (2012). Comparable high rates of extended-spectrum-beta-lactamase-producing Escherichia coli in birds of prey from Germany and Mongolia. PLoS One 7:e53039. 10.1371/journal.pone.0053039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Horton R. A., Randall L. P., Snary E. L., Cockrem H., Lotz S., Wearing H., et al. (2011). Fecal carriage and shedding density of CTX-M extended-spectrum β-lactamase-producing Escherichia coli in cattle, chickens, and pigs: implications for environmental contamination and food production. Appl. Environ. Microbiol. 77 3715–3719. 10.1128/AEM.02831-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ibrahim D. R., Dodd C. E., Stekel D. J., Ramsden S. J., Hobman J. L. (2016). Multidrug resistant, extended spectrum beta-lactamase (ESBL)-producing Escherichia coli isolated from a dairy farm. FEMS Microbiol. Ecol. 92:fiw013. 10.1093/femsec/fiw013 [DOI] [PubMed] [Google Scholar]
- Jacoby G. A. (2009). AmpC β-lactamases. Clin. Microbiol. Rev. 22 161–182. 10.1128/cmr.00036-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jia B., Raphenya A. R., Alcock B., Waglechner N., Guo P., Tsang K. K., et al. (2017). CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database. Nucleic Acids Res. 45 D566–D573. 10.1093/nar/gkw1004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Joshi N., Fass J. (2011). Sickle: a Sliding-Window, Adaptive, Quality-Based Trimming Tool for FastQ Files (Version 1.33). [Google Scholar]
- Kanehisa M., Sato Y., Kawashima M., Furumichi M., Tanabe M. (2016a). KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 44 D457–D462. 10.1093/nar/gkv1070 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kanehisa M., Sato Y., Morishima K. (2016b). BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428 726–731. 10.1016/j.jmb.2015.11.006 [DOI] [PubMed] [Google Scholar]
- Li X., Sun L., Zhu Y., Shen M., Tu Y. (2018). Draft genome sequence of Escherichia coli ST977: a clinical multidrug-resistant strain harbouring blaNDM-3 isolated from a bloodstream infection. J. Glob. Antimicrob. Resist. 13 121–122. 10.1016/j.jgar.2018.04.005 [DOI] [PubMed] [Google Scholar]
- Livermore D. M. (2012). Current epidemiology and growing resistance of Gram-negative pathogens. Korean J. Intern. Med. 27 128–142. 10.3904/kjim.2012.27.2.128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ma Z., Ginn A., Kang M., Galvao K., Jeong K. C. (2018). Genomic and virulence characterization of intrauterine pathogenic Escherichia coli with multi-drug resistance isolated from cow uteri with metritis. Front. Microbiol. 9:3137. 10.3389/fmicb.2018.03137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ma Z., Lee S., Jeong K. C. (2019). Mitigating antibiotic resistance at the livestock-environment interface: a review. J. Microbiol. Biotechnol. 29 1683–1692. 10.4014/jmb.1909.09030 [DOI] [PubMed] [Google Scholar]
- Markland S., Weppelmann T. A., Ma Z., Lee S., Mir R., Teng L., et al. (2019). High Prevalence of cefotaxime resistant bacteria in grazing beef cattle: a cross sectional study. Front. Microbiol. 10:176. 10.3389/fmicb.2019.00176 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mir R. A., Weppelmann T. A., Johnson J. A., Archer D., Morris J. G., Jr., Jeong K. C. (2016). Identification and characterization of cefotaxime resistant bacteria in beef cattle. PLoS One 11:e0163279. 10.1371/journal.pone.0163279 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mir R. A., Weppelmann T. A., Teng L., Kirpich A., Elzo M. A., Driver J. D., et al. (2018). Colonization dynamics of cefotaxime resistant bacteria in beef cattle raised without cephalosporin antibiotics. Front. Microbiol. 9:500. 10.3389/fmicb.2018.00500 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nikaido H., Pagès J. M. (2012). Broad-specificity efflux pumps and their role in multidrug resistance of Gram-negative bacteria. FEMS Microbiol. Rev. 36 340–363. 10.1111/j.1574-6976.2011.00290.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oteo J., Diestra K., Juan C., Bautista V., Novais Â, Pérez-Vázquez M. (2009). Extended-spectrum β-lactamase-producing Escherichia coli in Spain belong to a large variety of multilocus sequence typing types, including ST10 complex/A, ST23 complex/A and ST131/B2. Int. J. Antimicrob. Agents 34 173–176. 10.1016/j.ijantimicag.2009.03.006 [DOI] [PubMed] [Google Scholar]
- Petty N. K., Zakour N. L. B., Stanton-Cook M., Skippington E., Totsika M., Forde B. M., et al. (2014). Global dissemination of a multidrug resistant Escherichia coli clone. Proc. Natl. Acad. Sci. U.S.A. 111 5694–5699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pitout J. D. (2012). Extraintestinal pathogenic Escherichia coli: a combination of virulence with antibiotic resistance. Front. Microbiol. 3:9. 10.3389/fmicb.2012.00009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Platell J. L., Johnson J. R., Cobbold R. N., Trott D. J. (2011). Multidrug-resistant extraintestinal pathogenic Escherichia coli of sequence type ST131 in animals and foods. Vet. Microbiol. 153 99–108. 10.1016/j.vetmic.2011.05.007 [DOI] [PubMed] [Google Scholar]
- Price M. N., Dehal P. S., Arkin A. P. (2010). FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS One 5:e9490. 10.1371/journal.pone.0009490 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rawat D., Nair D. (2010). Extended-spectrum β-lactamases in Gram negative bacteria. J. Glob. Infect. Dis. 2 263–274. 10.4103/0974-777X.68531 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rissman A. I., Mau B., Biehl B. S., Darling A. E., Glasner J. D., Perna N. T. (2009). Reordering contigs of draft genomes using the Mauve Aligner. Bioinformatics 25 2071–2073. 10.1093/bioinformatics/btp356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rozwandowicz M., Brouwer M. S. M., Fischer J., Wagenaar J. A., Gonzalez-Zorn B., Guerra B., et al. (2018). Plasmids carrying antimicrobial resistance genes in Enterobacteriaceae. J. Antimicrob. Chemother. 73 1121–1137. 10.1093/jac/dkx488 [DOI] [PubMed] [Google Scholar]
- Salipante S. J., Roach D. J., Kitzman J. O., Snyder M. W., Stackhouse B., Butler-Wu S. M., et al. (2015). Large-scale genomic sequencing of extraintestinal pathogenic Escherichia coli strains. Genome Res. 25 119–128. 10.1101/gr.180190.114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Singh N. S., Singhal N., Virdi J. S. (2018). Genetic environment of blaTEM-1, blaCTX-M-15, blaCMY-42 and characterization of integrons of Escherichia coli isolated from an Indian urban aquatic environment. Front. Microbiol. 9:382. 10.3389/fmicb.2018.00382 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smith D. L., Harris A. D., Johnson J. A., Silbergeld E. K., Morris J. G. (2002). Animal antibiotic use has an early but important impact on the emergence of antibiotic resistance in human commensal bacteria. Proc. Natl. Acad. Sci. U.S.A. 99 6434–6439. 10.1073/pnas.082188899 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sonnhammer E. L., Ostlund G. (2015). InParanoid 8: orthology analysis between 273 proteomes, mostly eukaryotic. Nucleic Acids Res. 43 D234–D239. 10.1093/nar/gku1203 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sullivan M. J., Petty N. K., Beatson S. A. (2011). Easyfig: a genome comparison visualizer. Bioinformatics 27 1009–1010. 10.1093/bioinformatics/btr039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tagini F., Greub G. (2017). Bacterial genome sequencing in clinical microbiology: a pathogen-oriented review. Eur. J. Clin. Microbiol. Infect. Dis. 36 2007–2020. 10.1007/s10096-017-3024-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Teng L., Lee S., Ginn A., Markland S. M., Mir R. A., DiLorenzo N., et al. (2019). Genomic comparison reveals natural occurrence of clinically relevant multidrug-resistant extended-spectrum-β-lactamase-producing Escherichia coli strains. Appl. Environ. Microbiol. 85:e3030-18. 10.1128/AEM.03030-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Treangen T. J., Ondov B. D., Koren S., Phillippy A. M. (2014). The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol. 15:524. 10.1186/preaccept-2573980311437212 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valat C., Auvray F., Forest K., Métayer V., Gay E., de Garam C. P., et al. (2012). Phylogenetic grouping and virulence potential of extended-spectrum β-lactamase-producing Escherichia coli in cattle. Appl. Environ. Microbiol. 78 4677–4682. 10.1128/AEM.00351-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verdet C., Gautier V., Chachaty E., Ronco E., Hidri N., Decré D., et al. (2009). Genetic context of plasmid-carried blaCMY-2-like genes in Enterobacteriaceae. Antimicrob. Agents Chemother. 53 4002–4006. 10.1128/AAC.00753-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang J., Gibbons J. F., McGrath K., Bai L., Li F., Leonard F. C., et al. (2016). Molecular characterization of bla ESBL-producing Escherichia coli cultured from pig farms in Ireland. J. Antimicrob. Chemother. 71 3062–3065. [DOI] [PubMed] [Google Scholar]
- Watson E., Jeckel S., Snow L., Stubbs R., Teale C., Wearing H., et al. (2012). Epidemiology of extended spectrum beta-lactamase E. coli (CTX-M-15) on a commercial dairy farm. Vet. Microbiol. 154 339–346. 10.1016/j.vetmic.2011.07.020 [DOI] [PubMed] [Google Scholar]
- Wellington E. M., Boxall A. B., Cross P., Feil E. J., Gaze W. H., Hawkey P. M., et al. (2013). The role of the natural environment in the emergence of antibiotic resistance in Gram-negative bacteria. Lancet Infect. Dis. 13 155–165. 10.1016/S1473-3099(12)70317-1 [DOI] [PubMed] [Google Scholar]
- Wong A. R., Pearson J. S., Bright M. D., Munera D., Robinson K. S., Lee S. F., et al. (2011). Enteropathogenic and enterohaemorrhagic Escherichia coli: even more subversive elements. Mol. Microbiol. 80 1420–1438. 10.1111/j.1365-2958.2011.07661.x [DOI] [PubMed] [Google Scholar]
- Wu G., Day M. J., Mafura M. T., Nunez-Garcia J., Fenner J. J., Sharma M., et al. (2013). Comparative analysis of ESBL-positive Escherichia coli isolates from animals and humans from the UK, The Netherlands and Germany. PLoS One 8:e75392. 10.1371/journal.pone.0075392 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yamashita A., Sekizuka T., Kuroda M. (2014). Characterization of antimicrobial resistance dissemination across plasmid communities classified by network analysis. Pathogens 3 356–376. 10.3390/pathogens3020356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zankari E., Hasman H., Cosentino S., Vestergaard M., Rasmussen S., Lund O., et al. (2012). Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 67 2640–2644. 10.1093/jac/dks261 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated for this study can be found in the NCBI database under the BioProject PRJNA298331.