Abstract
Resistance to piperacillin/tazobactam (TZP) in Escherichia coli has predominantly been associated with mechanisms that confer resistance to third-generation cephalosporins. Recent reports have identified E. coli strains with phenotypic resistance to piperacillin/tazobactam but susceptibility to third-generation cephalosporins (TZP-R/3GC-S). In this study we sought to determine the genetic diversity of this phenotype in E. coli (n=58) isolated between 2014–2017 at a single tertiary hospital in Liverpool, UK, as well as the associated resistance mechanisms. We compare our findings to a UK-wide collection of invasive E. coli isolates (n=1509) with publicly available phenotypic and genotypic data. These data sets included the TZP-R/3GC-S phenotype (n=68), and piperacillin/tazobactam and third-generation cephalosporin-susceptible (TZP-S/3GC-S, n=1271) phenotypes. The TZP-R/3GC-S phenotype was displayed in a broad range of sequence types, which was mirrored in the same phenotype from the UK-wide collection, and the overall diversity of invasive E. coli isolates. The TZP-R/3GC-S isolates contained a diverse range of plasmids, indicating multiple acquisition events of TZP resistance mechanisms rather than clonal expansion of a particular plasmid or sequence type. The putative resistance mechanisms were equally diverse, including hyperproduction of TEM-1, either via strong promoters or gene amplification, carriage of inhibitor-resistant β-lactamases, and an S133G bla CTX-M-15 mutation detected for the first time in clinical isolates. Several of these mechanisms were present at a lower abundance in the TZP-S/3GC-S isolates from the UK-wide collection, but without the associated phenotypic resistance to TZP. Eleven (19%) of the isolates had no putative mechanism identified from the genomic data. Our findings highlight the complexity of this cryptic phenotype and the need for continued phenotypic monitoring, as well as further investigation to improve detection and prediction of the TZP-R/3GC-S phenotype from genomic data.
Keywords: piperacillin/tazobactam, resistance, AMR, Escherichia coli, bloodstream infection
Data Summary
Impact Statement.
Piperacillin/tazobactam (TZP) is an important first-line antibiotic used for treating serious bacterial infections such as sepsis. The pairing of a penicillin antibiotic with tazobactam, an inhibitor of class A β-lactamase enzymes, blocks the major mechanism of penicillin resistance, providing wide organism coverage. Most isolates of Escherichia coli resistant to TZP are also resistant to third generation cephalosporins (3GC), however a phenotype of E. coli resistant to TZP but susceptible to 3GC (TZP-R/3GC-S) has recently emerged, and the diversity of resistant mechanisms and population structure of this phenotype remains unknown. In this study, we show that this phenotype is present in diverse sequence types, and found a variety of predicted resistance mechanisms including the hyperproduction of class A β-lactamase enzymes via copy number increases or strong promoters, carriage of inhibitor-resistant β-lactamases, and an S133G bla CTX-M-15 mutation known to cause TZP resistance. This data shows that the phenotype has emerged in a wide variety of E. coli sequence types rather than a result of clonal expansion or horizontal gene-transfer-dependant dissemination. This study represents a significant improvement to our understanding of the TZP-R/3GC-S phenotype, and associated genotypes, in E. coli .
Raw read data and assemblies are available at the European Nucleotide Archive (ENA; www.ebi.ac.uk/ena) under BioProject ID PRJNA644114. Previously published sequencing reads used to construct wider phylogenies are also available at ENA under Bioproject PRJEB4681. Detailed per-strain information on accession numbers, resistance profiles, resistance gene predictions and sequence types (STs) are given in Table S2 (available in the online version of this article).
Introduction
Escherichia coli is the most common cause of bacterial bloodstream infections globally [1], accounting for 27 % of all bacteraemic episodes, with a case fatality rate of 12 % [2], and causing 78.8 bloodstream infections per 100 000 people in the UK in 2014 [3]. Antimicrobial resistance (AMR) in E. coli is increasingly prevalent [4–6] and extended spectrum β-lactamase (ESBL) production, mediating resistance to third-generation cephalosporins (3GCs) and other β-lactam antibiotics [7], is of particular concern. ESBLs were recorded in approximately 11 % of E. coli isolated from bloodstream infections in the UK in 2018 [8].
One strategy to provide therapeutic options for antimicrobial-resistant infections has been the combined use of β-lactamase inhibitors with β-lactam antibiotics to block the activity of β-lactamase enzymes, rendering the bacteria de facto susceptible [9]. The inhibitor tazobactam, which inhibits class A β-lactamases and includes most ESBL enzymes, is commonly utilized in combination with the penicillin class antibiotic piperacillin [10]. Tazobactam is a ‘suicide inhibitor’, as it irreversibly binds to β-lactamases, inactivating the enzyme [11]. Piperacillin/tazobactam (TZP) has broad spectrum activity against Gram-negative and -positive bacteria [12], is well tolerated [13], available for paediatric use, and utilized in the UK as a first-line empirical agent for serious infections, including pneumonia and intra-abdominal infections [14]. Its broad spectrum makes it an important agent for reducing the usage of carbapenem drugs, which are globally important last-line antibiotics. Limiting carbapenem use is a critical element of antimicrobial stewardship and essential for preventing the spread of resistance [15]. Treatment options for carbapenem-resistant bacteria are often limited to poorly tolerated drugs (e.g. colistin or tigecycline) [16]. Whilst TZP does possess in vitro activity against ESBLs, the MERINO trial did not demonstrate non-inferiority of TZP to meropenem in treating patients with ESBL E. coli and K. pneumoniae bloodstream infections [17]. Carbapenems are therefore now recommended for this patient group [18].
In 2018, resistance to TZP occurred in 9.1 % of invasive E. coli isolates in the UK [3]. This can be caused by the production of carbapenemase enzymes [19], multiple β-lactamases [20] or ESBLs in combination with increased efflux or porin loss [21], which can also provide resistance to 3GCs. Recently, a phenotype of resistance to TZP with susceptibility to 3GCs (TZP-R/3GC-S) emerged in E. coli and Klebsiella pneumoniae , indicating the possibility of alternative resistance mechanisms. The major cause of this phenotype is the hyperproduction of class A or D β-lactamases such as TEM-1 [22, 23]. Increased production of β-lactamase overcomes the inhibitive effect of tazobactam, ostensibly through saturation of the inhibitor, allowing the excess enzyme to hydrolyse and degrade piperacillin [24]. β-lactamase hyperproduction can occur via increased gene expression modulated by a stronger promoter [25], or an increase in gene copy number mediated by insertion sequences [26, 27] or plasmids [23]. Other mechanisms have also been identified, including production of OXA-1 [24], inhibitor-resistant enzymes such as bla TEM-33 (11), and a single nucleotide polymorphism (SNP) at position S133G in bla CTX-M-15 found in vitro via random mutagenesis/error prone PCR but not yet found in clinical isolates [28].
Routine blood-culture surveillance identified the occurrence of this phenotype in E. coli at the Royal Liverpool University Hospital (RLUH), Liverpool, UK, between 2014 and 2017. We sought to identify the diversity of E. coli strains and distribution of known mechanisms of TZP in our study isolates. We compared our collection to the findings of a UK-wide collection of invasive E. coli isolates (n=1509) with publicly available phenotypic and genotypic data. This data set included the TZP-R/3GC-S phenotype as well as a piperacillin/tazobactam and third-generation cephalosporin-susceptible (TZP-S/3GC-S) phenotype
Methods
Study setting
The RLUH is a city centre located hospital in Liverpool, UK, providing secondary and tertiary care, with a catchment area of >2 million people in Merseyside, Cheshire, North Wales, and the Isle of Man. In 2019 the hospital recorded over 587 000 outpatient appointments and 95 000 daily inpatients.
Surveillance data at RLUH and identification of TZP-R/3GC-S isolates
Bloodstream bacterial pathogens were isolated using the BacTAlert 3D blood-culture system (bioMérieux, France) and identified to a species level using MALDI-TOF (Bruker, USA). Antimicrobial susceptibility testing (AST) was carried out using disc-diffusion-based testing according to the British Society of Antimicrobial Chemotherapy guidelines [29] between 1st January 2014 and 7 August 2017, after which these were replaced by the European Committee for Antimicrobial Susceptibility Testing (EUCAST) guidelines [30]. In 2014 ceftazidime was used as the indicator 3GC, which was changed to cefpodoxime between 2015 and 2017. Isolate details and AST results were recorded in the Laboratory Information System (Telepath, CSC, USA). All isolates were retained in glycerol stocks at −80 °C in the RLUH Biobank. Data for the study was extracted into a database, including susceptibility data for ampicillin, cefpodoxime/ceftazidime, TZP, meropenem, ertapenem, cefoxitin, ciprofloxacin, gentamycin, amikacin, amoxicillin/clavulanic acid, tigecycline and cefalexin. The data was used to estimate the proportion of E. coli isolates per year with TZP resistance, with and without associated 3GC resistance. Intermediate TZP resistance was determined according to the EUCAST guidelines during the study period, with isolates with zone diameters of 20–21 mm during disc-diffusion testing falling into that category. Susceptibility or resistance was only recorded in the case of a test result; isolates without a result to a particular antibiotic were not included in the proportional analysis of resistance to that antibiotic. In cases where multiple isolates were obtained from a single infectious episode, only the first isolate was included for further investigation and sequencing, to avoid duplication. Isolates that were TZP-R/3GC-S were retrieved from the Biobank and resurrected from glycerol stocks using Luria–Bertani agar (Oxoid, UK) and incubated at 37 °C for 18 h.
Confirmation of antimicrobial susceptibility
MIC for the isolates were obtained using the E-TEST method (Biomerieux, France) [31] according to EUCAST guidelines [30]. MICs were determined for TZP and the 3GC ceftriaxone (CTX). Isolates were not phenotypically screened for ampC β-lactamase.
DNA extraction and sequencing
Isolates were subcultured onto Luria–Bertani agar and incubated at 37 °C. Genomic DNA was extracted from single colonies using the PureGene Yeast/Bacteria Kit (Qiagen, Germany), following the manufacturer’s instructions for Gram-negative bacteria. Genome sequencing of 65 isolates was performed by MicrobesNG (http://www.microbesng.uk), using 2×250 bp short-read sequencing on the Illumina MiSeq (lllumina, US) (Table S1).
Genome analysis, sequence typing and AMR gene prediction
All genomes were de novo assembled and annotated using SPAdes version 3.7 [32], and Prokka 1.11 [33], respectively, by MicrobesNG. Trimmed and quality-filtered sequencing reads were also provided, using the in-house methodology (adapter trimming with Trimmomatic v0.30, with a sliding window quality score cutoff value of Q15, and quality assessed using FastQC 0.11). The presence and copy number of AMR genes was determined using ARIBA [34], with the SRST2 database [35]. In silico multi locus sequence typing (MLST), and plasmid replicon typing were carried out using ARIBA and the MLSTFinder [36] and PlasmidFinder [37] databases, respectively. β-lactamase promoters were identified by constructing databases with promoter sequences for bla TEM-1 [25] and screening the genomes for these sequences using ARIBA . Copy numbers were estimated by dividing the sequencing coverage of β-lactamase genes by the coverage of the chromosomal single-copy gene ampH.
Phylogenetic analysis of study isolates
A pan-genome analysis of all sequences was generated using Roary [38], and the core gene alignment was used as input for snp-sites [39] to extract ACGT-only SNPs (-c option). A maximum-likelihood tree was produced using iqtree [40], with the general time reversible (GTR) model and gamma correction using ASC ascertainment bias correction (ASC) for SNPs-only alignments (-m GTR +G+ ASC) and 1000 bootstrap replicates (-bb 1000). Phylogenetic trees were annotated using the Interactive Tree of Life [41] (https://itol.embl.de/). Core-genome trees for sequence types ST131 and ST73 were generated by mapping the sequencing reads from each study isolate in the STs against the reference chromosomes of E. coli strains EC958 (HG941718.1) and CFT073 (AE014075.1), respectively, using snippy (https://github.com/tseemann/snippy). Recombination blocks were removed with Gubbins [42], and extraction of SNPs-only of the recombination-free alignment, and tree calculation, were performed as described above, using SNP-sites and IQ-TREE.
To investigate the relation of the study isolates to the whole UK hospital E. coli population, the sequences from a large UK-wide comparative analysis were included (PRJEB4681 [43]). These sequences included 1094 isolates submitted to the UK-wide Bacteraemia Resistance Surveillance Programme (www.bsacsurv.org) between 2001–2011 by 11 hospitals across England, and 415 isolates provided by the Cambridge University Hospitals NHS Foundation Trust, Cambridge.
A core-gene alignment and phylogenetic tree were constructed. Isolates from the UK-wide collection with the same phenotype of TZP resistance/3GC susceptibility (defined as susceptibility to both ceftazidime and cefotaxime, or either compound if only one was tested) were identified from the phenotypic AMR data [43], and highlighted alongside study isolates.
Data availability
Raw read data and assemblies were submitted under BioProject ID PRJNA644114. Detailed per-strain information on accession numbers, resistance profiles, resistance gene predictions and STs are given in Table S2.
Results
Isolate collection and antimicrobial susceptibility testing
The RLUH recorded 1472 BSI E. coli isolates between 2014 and 2017 and antimicrobial susceptibility testing showed 172 isolates (11.8 %) were resistant to TZP (Fig. S1). The proportion of E. coli resistant to TZP declined between 2014 (21 %) and 2017 (9 %, Fig. 1c). Of the 1258 TZP-susceptible isolates, the majority (1129, 89.7 %) were susceptible to 3GC, while 129 (10.3 %) were 3GC non-susceptible. In contrast, 86/172 (50 %) TZP-resistant isolates were non-susceptible and 86/172 (50 %) were susceptible to 3GC in our setting (Fig. 1a).
Fig. 1.
(a) Proportion of TZP susceptible (TZP S), intermediate (TZP I) and resistant (TZP R) isolates that are third-generation cephalosporin susceptible (3GC S), intermediate (3GC I) and resistant (3GC R). (b) Antimicrobial susceptibilities of E. coli isolates from the RLUH, grouped by their susceptibility to piperacillin/tazobactam (TZP) and third-generation cephalosporins (3GC). Susceptibility data is shown for isolates that are TZP susceptible and 3GC susceptible (TZP S, 3GC R). TZP resistant and 3GC resistant (TZP R, 3GC R), and TZP resistant and 3GC susceptible (TZP R, 3GC S), for the antibiotics ampicillin (AMP), cefpodoxime/ceftazidime (CPD/CAZ), piperacillin/tazobactam (TZP), meropenem (MER), ertapenem (ETP), cefoxitin (FOX), ciprofloxacin (CIP), gentamycin (CN), amikacin (AK), amoxicillin/clavulanic acid (AMC), tigecycline (TGC), and cefalexin (CL). (c) Trends in non-susceptibility to CPD/CAZ, TZP, MER, CIP and CN between 2014 and 2017 at RLUH.
Resistance to carbapenems was only seen in the TZP-resistant/3GC-resistant isolates, with 3.9 % resistant to meropenem and 5.3 % to ertapenem. A higher proportion of the TZP-R/3GC-S isolates were resistant to amoxicillin/clavulanic acid in comparison with TZP-resistant/3GC-resistant isolates (96.4 vs 81.1 %) (Fig. 1b). Overall, aside from the penicillin class antibiotics, a high proportion of the TZP-R/3GC-S phenotype were susceptible to the antimicrobials tested.
Of the 86 isolates with the TZP-R/3GC-S phenotype, 14 had been derived from repeated sampling of long-term patients and were excluded, resulting in 72 isolates derived from unique patients. These isolates were reduced to 66 after excluding TZP MICs under the EUCAST breakpoint for susceptibility. A further isolate was considered a contaminant ( Staphylococcus aureus ) based on colony morphology, which was confirmed by 16S PCR. After whole-genome sequencing, two of the 65 isolates were removed as they contained more than one E. coli genome, either due to mixed infections or contamination (assembly sizes were 9 602 556 bp and 9 552 068 bp, respectively), leaving 63 isolates for further analysis.
The MICs of TZP as assessed by the E-TEST ranged from 12 to 256 mg l−1. All 63 isolates had MICs over the EUCAST breakpoint for resistance (8 mg l−1), with five within the EUCAST area of technical uncertainty (ATU) >8 mg l−1 to 16 mg l−1 (previously to 2020 these MICs were scored as intermediate). As these isolates fell within the ATU they were discontinued from further analysis. The CTX MICs ranged between 0.016 and 0.25 mg l−1, all below the breakpoint for resistance (2 mg l−1), confirming the TZP-R/3GC-S phenotype.
Resistance and plasmid profile of TZP-resistant/3GC-susceptible population
The AMR genotypes (Fig. S2) correlated well with the phenotypic data obtained by disc testing, with most isolates susceptible to ciprofloxacin and gentamicin. The 58 TZP-R/3GC-S isolates harboured a variety of β-lactamase genes, including TEM-type (n=44; bla TEM-1 [41], bla TEM-33 [2], bla TEM-148 [1], bla SHV-1 [n=9], bla CTX-M-15 [n=4] and bla OXA-1 [n=3]).The presence of β-lactamase genes correlated with resistance to ampicillin and TZP, whilst resistance to ciprofloxacin in 17/58 isolates (29 %) was accounted for by gyrA mutations D87N (10/17, 59 %) and S83L (12/17, 71 %), and parC S80I mutation (10/17, 59 %). Aminoglycoside resistance was explained by the O-adenylyltransferases aadA (6/6, 100 %), in combination with the genes aac [3]-IIa or aadB (3/6, 50 %). Additionally, all isolates carried the chromosomal bla AmpC1, which is constitutively expressed at a low level [44], and 51/58 of the isolates carried bla AmpC2. A single isolate (169961) had a coding mutation in a penicillin-binding protein, with an A37T mutation in mrdA encoding penicillin-binding protein 2, in combination with the inhibitor-resistant bla TEM-33 and strong Pa/Pb promoter.
Replicons usually associated with large resistance plasmids, such as IncFIA and IncFIB, IncFIA and IncFIIA, were detected in 19 % of the study isolates (Fig. 2), reflecting the low proportion of isolates with multiple resistance genes and the unusual resistance profile characteristic of the TZP-R/3GC-S phenotype.
Fig. 2.
Maximum likelihood phylogeny of the study isolates from RLUH. The colour strips, from left to right, show the MLST classification (MLST), β-lactamase gene carriage (bla genes). The heat maps show phenotypic resistance to piperacillin/tazobactam (TZP), meropenem (MER), cefoxitin (FOX), cefpodoxime/ceftazidime (CPD/CAZ), ampicillin (AMP), ciprofloxacin (CP), and gentamycin (CN), and the plasmid replicon repertoire.
Population structure of the TZP-resistant/3GC-susceptible population within the nationwide context
Phylogenetic analysis revealed the TZP-R/3GC-S phenotype occurred in a diverse number of sequence types (Fig. 2). The 58 TZP-R/3GC-S isolates represented 16 STs. The most representative were ST131 (36.2 %), ST73 (19 %) and ST12 (6.9 %). The TZP-R/3GC-S phenotype in the UK-wide collection was similarly diverse to the RLUH collection with ST131 (22.1 %) the most represented, followed by ST73 (16.2 %) and ST95 (14.7 %, Fig. 3). This diversity was also reflected in the TZP-S/3GC-S phenotype; ST73 (16.8 %), ST131 (14.3 %) and ST95 (10.6 %). When placing the RLUH isolates into the phylogenetic context of the UK-wide bloodstream isolates collected from 2001 to 2011, it was apparent that they reflected the overall E. coli population structure (Fig. 4). This indicates that the TZP-R/3GC-S phenotype is not driven by a clonal outbreak within this single hospital setting, but rather by multiple acquisitions of resistance mechanisms in the circulating population of hospital strains. The AMR gene profile of the RLUH isolates varied between STs (Fig. S3), with ST131 carrying more AMR genes than the other major STs, as previously reported [45]. To get a higher-resolution insight into the within-ST diversity of the isolates, we calculated core-genome trees of the main STs by mapping the reads against selected reference genomes and extracting the conserved, non-recombinant SNPs (Figs S4 and S5). The acquisition of the phenotype was not a single event even in these closely related organisms, as it occurred on several occasions for both main sequence types, with no (ST73) or very few (ST131) isolates closely related, which may indicate within-hospital transmission.
Fig. 3.
Bar chart showing the proportion of isolates belonging to common sequence types in the RLUH study isolates in comparison with those in the collection of 1509 isolates taken from a UK-wide study [43].
Fig. 4.
Circular maximum-likelihood core-genome phylogenetic tree of the 68 study isolates in combination with 1509 UK-wide study isolates. The ring indicates the ten most commonly encountered STs. Dots at the terminus of branches indicate study isolates, UK-wide isolates with the TZP resistant/3GC susceptible phenotype (TZP-R/3GC -S) or isolates from the UK-wide collection missing sufficient phenotypic data to assign an accurate AMR phenotype.
Varied putative genetic determinants of the TZP-resistant/3GC-susceptible phenotype
We sought to identify previously published putative resistance mechanisms associated with the TZP-R/3GC-S phenotype in the 58 isolates from RLUH (Fig. 5a). No carbapenemase genes were predicted to be present, although four ST131 isolates harboured the ESBL bla CTX-M-15 gene, normally associated with 3GC resistance. However, three isolates carried a SNP resulting in the non-synonymous amino acid change from serine to glycine at position 133. This amino acid change is reported to result in a non-ESBL phenotype with increased TZP resistance. However the S133G mutation was only identified through random mutagenesis/error prone PCR in vitro [28]. In the remaining isolate with bla CTX-M-15 the promoter sequence was deleted and therefore presumably not expressed (Fig. S6). However, the isolate also carried bla OXA-1. In all three isolates carrying bla OXA-1, it was either the sole β-lactamase or it was carried with a second β-lactamase. Of the isolates with bla TEM-1, 25 had the weak P3 promoter, four had the strong promoter P4 and 12 contained the strong, overlapping promoter Pa/Pb. The P4 and Pa/Pb promoter have previously been linked to hyperproduction of TEM-1 [25]. The TZP-R/3GC-S phenotype has previously been associated with increases in the copy number of bla TEM-1 via gene amplification, resulting in hyperproduction of the TEM-1 enzyme [22, 26]. The copy numbers of bla TEM-1, as estimated by sequencing coverage, for those isolates within the RLUH collection with a weak P3 promoter varied between 3 and 186 copies, and a mean of 44 copies (Fig. 5b).
Fig. 5.
Proportion of isolates of each phenotype identified in the RLUH and BSAC collections with identifiable putative TZP resistance mechanisms (IR; inhibitor resistance) (a), and the copy number of bla TEM-1 genes found in isolates belonging to each phenotype (b), with significance determined by Dunn’s multiple comparison test.
We identified inhibitor resistant β-lactamases (3; 4%), bla OXA-1 (10, 14.7%) and bla TEM-1 promoter region mutations (18; 26%) in the 68 TZP-R/3GC-S isolates from the UK-wide collection (Fig. 5a). However, we also identified these mechanisms, although at a lower incidence (inhibitor resistant β-lactamase; 2 [0.2 %], bla OXA-1 24 [1.8 %] promoter region mutations; 89 [7 %]), in the TZP-S/3GC-S phenotype in the same collection. In total a putative mechanism was found in 27 of the 58 isolates.
The copy number of bla TEM-1 was also elevated in both the TZP-R/3GC-S (min-max of 0.5 and 129 copies, mean 16 copies) and TZP-S/3GC-S (min-max of 0.02 and 68 copies, mean three copies) from the UK-wide collection (Fig. 5b). Despite this, there was a significant difference in copy number between the TZP-S/3GC-S vs UK-wide TZP-R/3GC-S phenotypes (P value <0.001; Dunn’s multiple comparison test) and the TZP-S/3GC-S vs TZP-R/3GC-S phenotypes from RLUH (P value <0.001; Dunn’s multiple comparison Test). This indicates that although an increase in copy number of bla TEM-1 may not always be predictive of TZP-R/3GC-S, it is associated with the phenotype.
Discussion
This phylogenetic analysis of the TZP-R/3GC-S phenotype in E. coli from RLUH demonstrates that this phenotype derives from repeated, multiple acquisition events. Our comparison of the RLUH isolates with a large UK-wide collection [43] shows that this is not unique to our study site, but broadly reflective of the phenotype from multiple sites across the UK. As the TZP-R/3GC-S phenotype also reflects the overall UK population structure of E. coli bacteraemia isolates, this is suggestive of the impact of repeated or sustained antimicrobial pressure, rather than fixation in a certain lineage and subsequent spread. The phenotype was encountered in the typically drug-resistant ST131 [46], and the often highly virulent but drug-susceptible ST73 [47], reflecting the overall dominance of these STs, and was not associated with an overall increase in carriage of genes conferring resistance to other classes of antibiotics. We also were unable to identify the presence of a common plasmid replicon, further highlighting the diversity of the phenotype. The 3GC-S phenotype was common amongst TZP-R isolates at our setting, and also occurred in 81 % of TZP-R isolates in the larger UK-wide collection.
Strategies to increase the effectiveness of TZP include increasing dosage, which in one study increased the coverage of TZP from 83.2–93 % of bacterial bloodstream pathogens [48]. Increasing the concentration of tazobactam alongside a fixed dose of piperacillin has also rescued TZP effectiveness against TEM-1 hyperproducers in a neutropenic mouse model [24], and could be a viable strategy to protect its future effectiveness. It is worth noting observational clinical data [49], and in vivo experimental data [50], suggesting TZP may be effective against some organisms with in vitro phenotypic resistance to TZP. In 2020 EUCAST updated their guidelines to reclassify isolates with TZP MICs between 8 and 16 mg l−1 from intermediate to ‘Susceptible, increased exposure’ (I). The aim of this change was to indicate that in some infection sites it may be possible to successfully use an increased dose for isolates with MICs within this range.
The rapid identification of the TZP-R/3GC-S phenotype could potentially enable de-escalation from TZP to a 3GC [51], both reducing the likelihood of treatment failure, and preventing overuse of carbapenems, which is key for antimicrobial stewardship [52]. However, care must be taken in this approach to reduce the risk of treatment failure, as it is unknown whether the mechanisms of TZP-R may readily evolve to confer resistance to 3GCs due to selection pressure during antimicrobial therapy. The isolates were also mostly susceptible to ciprofloxacin, gentamicin and amikacin, providing further de-escalation opportunities. There was also a major difference in cefalexin resistance, with 6.5 % of the TZP-R/3GC-S isolates resistant to cefalexin, in comparison with 96.3 % of the TZP-R/3GC-R isolates. Molecular diagnostics and whole-genome sequencing can be used to rapidly detect AMR genes to predict AMR phenotype [53, 54]. However, it is essential to match the phenotypic resistance to the genotypic mechanisms. The majority of TZP-R/3GC-S isolates in this study hyperproduced the class A β-lactamase enzymes bla TEM-1, which can hydrolyse piperacillin but not 3GCs, and is inhibited by tazobactam. Hyperproduction can occur via gene amplification, in which tandem repeats of AMR genes are generated, for example via the IS26-mediated amplification of pseudo-compound transposons [26, 55], or the transfer of β-lactamase genes to high copy AMR plasmids [23]. A number of the isolates were lacking a detectable increase in gene copy number, but had a potential route to hyperproduction via a strong promoter of bla TEM-1 [25]. Hyperproduction is thought to overcome the inhibitory effect of tazobactam, by saturating the inhibitor and allowing for the hydrolysis of the antibiotic. It is unclear what level of copy number or hyperproduction is required to cause resistance, and this likely differs between E. coli strains, dependent on genetic background. Further studies are required to better understand the effect of bla gene copy number on resistance to β-lactam/inhibitor combinations, especially for predicting resistance from sequencing data.
We also detected bla TEM-33, encoding an inhibitor resistant variant of TEM-1B [56], and bla OXA-1, either as the only β-lactamase or in combination with bla TEM-1. OXA-1 is poorly inhibited by tazobactam [57] but has been associated with the TZP-R/3GC-S phenotype [58], while a recent UK study identified bla OXA-1 as a major contributor to TZP resistance amongst ESBL E. coli [58]. However, the carriage of bla OXA-1 does not always confer resistance to TZP, which appears to depend on the genetic background of the strain. The risk ratio of bla OXA-1 being associated with TZP resistance in ESBL E. coli is higher in ST131 strains (12.1) compared with ESBL E. coli as a whole (6.49) [58]. One isolate carrying the OXA-1 β-lactamase gene, as well as bla CTX-M-15 lacking a promoter, belonged to ST131.
Three out of four detected bla CTX-M-15 encoded the S133G mutation, which increases TZP MIC ten-fold, whilst reducing the 3GC MIC by the same margin in a strain harbouring a random mutagenesis/error prone PCR derived bla CTX-M-15 [28]. To our knowledge this is the first report of this bla CTX-M-15 variant in clinical isolates. The S133G mutation in bla CTX-M-15 was associated with 5 % of TZP-R/3GC-S in our setting and only in ST131. The mutation of bla CTX-M genes to better hydrolyse mecillinam has been reported during urinary tract infection treatment [59], but not for TZP or other β-lactam/inhibitor combinations. The circulation of bla CTX-M variants that do not confer the ESBL phenotype but provide resistance to TZP, has implications for molecular testing for ESBL organisms [60], as it would misclassify the isolates as 3GC-resistant and lead to unnecessary use of carbapenems. We found that 9 of 58 isolates, all without a putative resistant mechanism, harboured blaSHV-48. Hyperproduction of this enzyme has been shown to lead to the TZP-R/3GC-S phenotype in K. pneumoniae [61].
All the putative mechanisms of TZP-R/3GC-S found in the isolates from RLUH have been previously published and widely associated with this phenotype. However, also we found evidence of bla TEM-1 promoter region mutations, inhibitor resistance enzymes and increased bla TEM-1 copy number in the TZP-S/3GC-S phenotype. The only putative mechanism, which was not found in the TZP-S/3GC-S phenotype, was the S133G mutation in bla CTX-M-15. This mutation was not found in any of the TZP-R/3GC-S phenotype isolates from the UK-wide collection, which may indicate low incidence or a localized emergence in our hospital. The diverse putative mechanisms of TZP-R/3GC-S and phenotype-genotype discordance, as seen in TZP-S/3GC-S, would compromise current molecular or genomic detection of this phenotype. Further studies are required to experimentally validate the effect of these putative mechanisms on TZP resistance to improve our understanding of this phenotype, particularly in clinical isolates.
The main limitation of this study was that only TZP-R/3GC-S isolates from the RLUH were sequenced, and the relatively small population size. We utilized a large and UK-wide collection of isolates for comparison, which were similarly diverse and reflected the overall population structure [43]. Additionally, we relied on the routine AST carried out in the hospital to classify the isolates and did not carry out confirmatory MIC determination using ceftriaxone/cefpodoxime. In 2014 ceftazidime was the indicator cephalosporin used, which is insensitive for identifying CTX-M producers. This may have caused us to overestimate 3GC-S isolates during this year, however only a single TZP-R/3GC-S isolate from this year was found to have a bla CTX-M, which carried the S133G mutation, showing we did not erroneously include CTX-M producers likely to be 3GC-R. The lack of inclusion of patient-level treatment data means that we cannot link infections with E. coli isolates displaying the TZP-R/3GC-S phenotype to a particular treatment regimen. For our description of the hospital surveillance data, we used the routine AST at RLUH to determine the portion of isolates susceptible or non-susceptible to TZP, 3GC and other antibiotics. Subsequent assessment of isolates displaying the TZP-R/3GC-S phenotype found that a subset had to be discounted from further analysis due to factors including contamination, TZP susceptibility and mixed samples. We did not retroactively remove these isolates from the analysis as we could not be certain when contamination, mixing of samples or loss of resistance occurred.
This work highlights the phylogenetic diversity of the TZP-R/3GC-S phenotype in E. coli and the variety of the putative resistance mechanisms involved, including β-lactamase hyperproduction via gene amplification and promoter mutations, inhibitor-resistant TEM-1 and CTX-M-15 variants. However, the presence of these mechanisms at a lower incidence with the TZP-S isolates highlights that a greater understanding of the evolution of TZP resistance and the resistance mechanisms of the TZP-R/3GC-S phenotype would be fundamental to improve the prediction of TZP-R/3GC-S E. coli . Until such time, phenotypic monitoring of this phenotype is essential to prevent treatment failure.
Supplementary Data
Funding information
This work was supported by the LSTM Director’s Catalyst Fund, separately awarded to T.E. and A.T.M.H. E.H. acknowledges support from a Wellcome SEED Award (217303/Z/19/Z). A.P.R. would like to acknowledge funding from the AMR Cross-Council Initiative through a grant from the Medical Research Council, a Council of UK Research and Innovation (Grant Number; MR/S004793/1), and the National Institute for Health Research (Grant number; NIHR200632).
Acknowledgements
We acknowledge the technical staff in the diagnostic microbiology laboratories in the RLUH and expert informatics support from the Pathogen Informatics team at the Wellcome Sanger Institute.
Author contributions
T.E., E.H., J.M., C.M.P. and A.T.M.H. conceptualized the study. Jv.A., A.H. P.R., C.C., C.M.P., J.M. and A.H. collated isolate metadata, and clinical antimicrobial susceptibility testing data. T.E., E.H., E.R.A., A.P.R., L.E.C. and A.T.M.H. contributed to the experimental design and data analysis. Bioinformatic analysis was carried out by T.E. and E.H. T.E., Jv.A., C.T.W., A.J.F., I.B. and A.T.M.H. carried out microbiological experiments. T.E., E.H. and A.T.M.H. wrote the first draft of the manuscript. All authors reviewed and edited the final manuscript.
Conflicts of interest
The authors declare that there are no conflicts of interest.
Ethical statement
The study utilized bacterial isolates collected by the RLUH for standard diagnostic purposes. All isolates were anonymized and de-linked from patient data. As no human samples or patient data were utilized in the study, ethical approval was not required. This was confirmed using the online NHS REC review tool http://www.hra-decisiontools.org.uk/ethics/.
Footnotes
Abbreviations: AK, amikacin; AMC, amoxicillin/clavulanic acid; AMR, antimicrobial resistance; CAZ, ceftazidime; CIP, ciprofloxacin; CL, Cefalexin; CN, gentamycin; CPD, cefpodoxime; ENA, European Nucleic Acid Archive; ESBL, Extended spectrum beta-lactamase; ETP, ertapenem; EUCAST, European Committee for Antimicrobial Susceptibility Testing; FOX, cefoxitin; 3GC, 3rd generation cephalosporin; IS, insertion sequence; MER, meropenem; MIC, minimum inhibitory concentration; MLST, multilocus sequence typing; NHS, national health service; PCR, polymerase chain reaction; RLUH, Royal Liverpool University Hospital; SNP, single nucleotide polymorphism; ST, sequence type; TGC, tigecycline; TZP, piperacillin/tazobactam.
All supporting data, code and protocols have been provided within the article or through supplementary data files. Six supplementary figures and two supplementary tables are available with the online version of this article.
References
- 1.Laupland KB. Incidence of bloodstream infection: a review of population-based studies. Clin Microbiol Infect. 2013;19:492–500. doi: 10.1111/1469-0691.12144. [DOI] [PubMed] [Google Scholar]
- 2.Bonten M, Johnson JR, van den Biggelaar AHJ, Georgalis L, Geurtsen J, et al. Epidemiology of Escherichia coli bacteremia: a systematic literature review. Clin Infect Dis. 2021;72:1211–1219. doi: 10.1093/cid/ciaa210. [DOI] [PubMed] [Google Scholar]
- 3.Public Health England Laboratory surveillance of Escherichia coli bacteraemia in England, Wales and Northern Ireland. Health Protection Report. 2018;13:37. [Google Scholar]
- 4.World Health Organization Global priority list of antibiotic-resistant bacteria to guide research, discovery, and development of new antibiotics. 2017
- 5.Tacconelli E, Carrara E, Savoldi A, Harbarth S, Mendelson M, et al. Discovery, research, and development of new antibiotics: the WHO priority list of antibiotic-resistant bacteria and tuberculosis. Lancet Infect Dis. 2018;18:318–327. doi: 10.1016/S1473-3099(17)30753-3. [DOI] [PubMed] [Google Scholar]
- 6.World Health Organization Landscape of diagnostics against antibacterial resistance, gaps and priorities. 2019.
- 7.Temkin E, Fallach N, Almagor J, Gladstone BP, Tacconelli E, et al. Estimating the number of infections caused by antibiotic-resistant Escherichia coli and Klebsiella pneumoniae in 2014: a modelling study. Lancet Glob Health. 2018;6:e969–e979. doi: 10.1016/S2214-109X(18)30278-X. [DOI] [PubMed] [Google Scholar]
- 8.European Centre for Disease Prevention and Control Surveillance of antimicrobial resistance in Europe. 2018
- 9.Tooke CL, Hinchliffe P, Bragginton EC, Colenso CK, Hirvonen VHA, et al. β-Lactamases and β-Lactamase Inhibitors in the 21st Century. J Mol Biol. 2019;431:3472–3500. doi: 10.1016/j.jmb.2019.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Gin A, Dilay L, Karlowsky JA, Walkty A, Rubinstein E, et al. Piperacillin-tazobactam: a beta-lactam/beta-lactamase inhibitor combination. Expert Rev Anti Infect Ther. 2007;5:365–383. doi: 10.1586/14787210.5.3.365. [DOI] [PubMed] [Google Scholar]
- 11.Drawz SM, Bonomo RA. Three decades of beta-lactamase inhibitors. Clin Microbiol Rev. 2010;23:160–201. doi: 10.1128/CMR.00037-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Johnson DM, Biedenbach DJ, Jones RN. Potency and antimicrobial spectrum update for piperacillin/tazobactam (2000): emphasis on its activity against resistant organism populations and generally untested species causing community-acquired respiratory tract infections. Diagn Microbiol Infect Dis. 2002;43:49–60. doi: 10.1016/s0732-8893(02)00358-9. [DOI] [PubMed] [Google Scholar]
- 13.Kim M-K, Xuan D, Quintiliani R, Nightingale CH, Nicolau DP. Pharmacokinetic and pharmacodynamic profile of high dose extended interval piperacillin-tazobactam. J Antimicrob Chemother. 2001;48:259–267. doi: 10.1093/jac/48.2.259. [DOI] [PubMed] [Google Scholar]
- 14.Barton GJ, Morecroft CW, Henney NC. A survey of antibiotic administration practices involving patients with sepsis in UK critical care units. Int J Clin Pharm. 2020;42:65–71. doi: 10.1007/s11096-019-00938-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wilson APR. Sparing carbapenem usage. J Antimicrob Chemother. 2017;72:2410–2417. doi: 10.1093/jac/dkx181. [DOI] [PubMed] [Google Scholar]
- 16.Morrill HJ, Pogue JM, Kaye KS, LaPlante KL. Treatment options for carbapenem-resistant Enterobacteriaceae infections. Open Forum Infect Dis. 2015;2:ofv050. doi: 10.1093/ofid/ofv050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Harris PNA, Tambyah PA, Lye DC, Mo Y, Lee TH, et al. Effect of piperacillin-tazobactam vs meropenem on 30-day mortality for patients with E coli or Klebsiella pneumoniae bloodstream infection and ceftriaxone resistance: a randomized clinical trial. JAMA. 2018;320:984–994. doi: 10.1001/jama.2018.12163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gutiérrez-Gutiérrez B, Rodríguez-Baño J. Current options for the treatment of infections due to extended-spectrum beta-lactamase-producing Enterobacteriaceae in different groups of patients. Clinical Microbiology and Infection. 2019;25:932–942. doi: 10.1016/j.cmi.2019.03.030. [DOI] [PubMed] [Google Scholar]
- 19.van Duin D, Bonomo RA. Ceftazidime/avibactam and ceftolozane/tazobactam: second-generation β-lactam/β-lactamase inhibitor combinations. Clin Infect Dis. 2016;63:234–241. doi: 10.1093/cid/ciw243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee J, Oh CE, Choi EH, Lee HJ. The impact of the increased use of piperacillin/tazobactam on the selection of antibiotic resistance among invasive Escherichia coli and Klebsiella pneumoniae isolates. Int J Infect Dis. 2013;17:e638–43. doi: 10.1016/j.ijid.2013.01.030. [DOI] [PubMed] [Google Scholar]
- 21.Suzuki Y, Sato T, Fukushima Y, Nakajima C, Suzuki Y, et al. Contribution of β-lactamase and efflux pump overproduction to tazobactam-piperacillin resistance in clinical isolates of Escherichia coli . Int J Antimicrob Agents. 2020;55:105919. doi: 10.1016/j.ijantimicag.2020.105919. [DOI] [PubMed] [Google Scholar]
- 22.Schechter LM, Creely DP, Garner CD, Shortridge D, Nguyen H, et al. Extensive gene amplification as a mechanism for piperacillin-tazobactam resistance in Escherichia coli . mBio. 2018;9:e00583-18. doi: 10.1128/mBio.00583-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Rodríguez-Villodres Á, Gil-Marqués ML, Álvarez-Marín R, Bonnin RA, Pachón-Ibáñez ME, et al. Extended-spectrum resistance to β-lactams/β-lactamase inhibitors (ESRI) evolved from low-level resistant Escherichia coli . J Antimicrob Chemother. 2020;75:77–85. doi: 10.1093/jac/dkz393. [DOI] [PubMed] [Google Scholar]
- 24.Abdelraouf K, Chavda KD, Satlin MJ, Jenkins SG, Kreiswirth BN, et al. Piperacillin-tazobactam-resistant/third-generation cephalosporin-susceptible Escherichia coli and Klebsiella pneumoniae isolates: resistance mechanisms and in vitro-in vivo discordance. Int J Antimicrob Agents. 2020;55:105885. doi: 10.1016/j.ijantimicag.2020.105885. [DOI] [PubMed] [Google Scholar]
- 25.Zhou K, Tao Y, Han L, Ni Y, Sun J. Piperacillin-Tazobactam (TZP) resistance in Escherichia coli due to hyperproduction of TEM-1 β-lactamase mediated by the promoter Pa/Pb. Front Microbiol. 2019;10:833. doi: 10.3389/fmicb.2019.00833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hubbard ATM, Mason J, Roberts P, Parry CM, Corless C, et al. Piperacillin/tazobactam resistance in a clinical isolate of Escherichia coli due to IS26-mediated amplification of blaTEM-1B . Nat Commun. 2020;11:4915. doi: 10.1038/s41467-020-18668-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hansen KH, Andreasen MR, Pedersen MS, Westh H, Jelsbak L, et al. Resistance to piperacillin/tazobactam in Escherichia coli resulting from extensive IS26-associated gene amplification of blaTEM-1. J Antimicrob Chemother. 2019;74:3179–3183. doi: 10.1093/jac/dkz349. [DOI] [PubMed] [Google Scholar]
- 28.Rosenkilde CEH, Munck C, Porse A, Linkevicius M, Andersson DI, et al. Collateral sensitivity constrains resistance evolution of the CTX-M-15 β-lactamase. Nat Commun. 2019;10:618. doi: 10.1038/s41467-019-08529-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Andrews JM, Howe RA, BSAC Working Party on Susceptibility Testing BSAC standardized disc susceptibility testing method (version 10) J Antimicrob Chemother. 2011;66:2726–2757. doi: 10.1093/jac/dkr359. [DOI] [PubMed] [Google Scholar]
- 30.The European Committee on Antimicrobial Susceptibility Testing Breakpoint tables for interpretation of MICs and zone diameters. Version 10.0. 2020. http://www.eucast.org
- 31.García-Fernández S, Bala Y, Armstrong T, García-Castillo M, Burnham CA, et al. Multicenter evaluation of the new etest gradient diffusion method for piperacillin-tazobactam susceptibility testing of Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii complex. J Clin Microbiol. 2020;58:e01042-19. doi: 10.1128/JCM.01042-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 2012;19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
- 34.Hunt M, Mather AE, Sánchez-Busó L, Page AJ, Parkhill J, et al. ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads. Microb Genom. 2017;3:10. doi: 10.1099/mgen.0.000131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Inouye M, Dashnow H, Raven L-A, Schultz MB, Pope BJ, et al. SRST2: Rapid genomic surveillance for public health and hospital microbiology labs. Genome Med. 2014;6:11. doi: 10.1186/s13073-014-0090-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Larsen MV, Cosentino S, Rasmussen S, Friis C, Hasman H, et al. Multilocus sequence typing of total-genome-sequenced bacteria. J Clin Microbiol. 2012;50:1355–1361. doi: 10.1128/JCM.06094-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Carattoli A, Zankari E, García-Fernández A, Voldby Larsen M, Lund O, et al. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother. 2014;58:3895–3903. doi: 10.1128/AAC.02412-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics. 2015;31:3691–3693. doi: 10.1093/bioinformatics/btv421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Page AJ, Taylor B, Delaney AJ, Soares J, Seemann T, et al. SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microb Genom. 2016;2:e000056. doi: 10.1099/mgen.0.000056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32:268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Letunic I, Bork P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016;44:W242–5. doi: 10.1093/nar/gkw290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Croucher NJ, Page AJ, Connor TR, Delaney AJ, Keane JA, et al. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acids Res. 2015;43:e15. doi: 10.1093/nar/gku1196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kallonen T, Brodrick HJ, Harris SR, Corander J, Brown NM, et al. Systematic longitudinal survey of invasive Escherichia coli in England demonstrates a stable population structure only transiently disturbed by the emergence of ST131. Genome Res. 2017;27:1437–1449. doi: 10.1101/gr.216606.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Peter-Getzlaff S, Polsfuss S, Poledica M, Hombach M, Giger J, et al. Detection of AmpC beta-lactamase in Escherichia coli: comparison of three phenotypic confirmation assays and genetic analysis. J Clin Microbiol. 2011;49:2924–2932. doi: 10.1128/JCM.00091-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.McNally A, Kallonen T, Connor C, Abudahab K, Aanensen DM, et al. Diversification of colonization factors in a multidrug-resistant Escherichia coli lineage evolving under negative frequency-dependent selection. mBio. 2019;10:e00644-19. doi: 10.1128/mBio.00644-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Whitmer GR, Moorthy G, Arshad M. The pandemic Escherichia coli sequence type 131 strain is acquired even in the absence of antibiotic exposure. PLOS Pathog. 2019;15:e1008162. doi: 10.1371/journal.ppat.1008162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Cunha MPV, Saidenberg AB, Moreno AM, Ferreira AJP, Vieira MAM, et al. Pandemic extra-intestinal pathogenic Escherichia coli (ExPEC) clonal group O6-B2-ST73 as a cause of avian colibacillosis in Brazil. PLOS ONE. 2017;12:e0178970. doi: 10.1371/journal.pone.0178970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Rothe K, Wantia N, Spinner CD, Schneider J, Lahmer T, et al. Antimicrobial resistance of bacteraemia in the emergency department of a German university hospital (2013-2018): potential carbapenem-sparing empiric treatment options in light of the new EUCAST recommendations. BMC Infect Dis. 2019;19:1091. doi: 10.1186/s12879-019-4721-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Baker TM, Rogers W, Chavda KD, Westblade LF, Jenkins SG, et al. Epidemiology of bloodstream infections caused by Escherichia coli and Klebsiella pneumoniae that are piperacillin-tazobactam-nonsusceptible but ceftriaxone-susceptible. Open Forum Infect Dis. 2018;5:ofy300. doi: 10.1093/ofid/ofy300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Stainton SM, Monogue ML, Nicolau DP. In Vitro-In Vivo Discordance with Humanized Piperacillin-Tazobactam Exposures against Piperacillin-Tazobactam-Resistant/Pan-β-Lactam-Susceptible Klebsiella pneumoniae Strains. Antimicrob Agents Chemother. 2017;61:e00491-17. doi: 10.1128/AAC.00491-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Carlisle L, Justo JA, Al-Hasan MN. Bloodstream infection due to piperacillin/tazobactam non-susceptible, cephalosporin-susceptible Escherichia coli: a missed opportunity for de-escalation of therapy. Antibiotics (Basel) 2018;7:E104. doi: 10.3390/antibiotics7040104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Robson SE, Cockburn A, Sneddon J, Mohana A, Bennie M, et al. Optimizing carbapenem use through a national quality improvement programme. J Antimicrob Chemother. 2018;73:2223–2230. doi: 10.1093/jac/dky171. [DOI] [PubMed] [Google Scholar]
- 53.Williams CT, Musicha P, Feasey NA, Adams ER, Edwards T. ChloS-HRM, a novel assay to identify chloramphenicol-susceptible Escherichia coli and Klebsiella pneumoniae in Malawi. J Antimicrob Chemother. 2019;74:1212–1217. doi: 10.1093/jac/dky563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Charalampous T, Kay GL, Richardson H, Aydin A, Baldan R, et al. Nanopore metagenomics enables rapid clinical diagnosis of bacterial lower respiratory infection. Nat Biotechnol. 2019;37:783–792. doi: 10.1038/s41587-019-0156-5. [DOI] [PubMed] [Google Scholar]
- 55.Harmer CJ, Pong CH, Hall RM. Structures bounded by directly-oriented members of the IS26 family are pseudo-compound transposons. Plasmid. 2020;111:102530. doi: 10.1016/j.plasmid.2020.102530. [DOI] [PubMed] [Google Scholar]
- 56.Sirot D, Chanal C, Bonnet R, De Champs C, Bret L. Inhibitor-resistant TEM-33 beta-lactamase in a Shigella sonnei isolate. Antimicrob Agents Chemother. 2001;45:2179–2180. doi: 10.1128/AAC.45.7.2179-2180.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Che T, Bethel CR, Pusztai-Carey M, Bonomo RA, Carey PR. The different inhibition mechanisms of OXA-1 and OXA-24 β-lactamases are determined by the stability of active site carboxylated lysine. J Biol Chem. 2014;289:6152–6164. doi: 10.1074/jbc.M113.533562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Livermore DM, Day M, Cleary P, Hopkins KL, Toleman MA, et al. OXA-1 β-lactamase and non-susceptibility to penicillin/β-lactamase inhibitor combinations among ESBL-producing Escherichia coli . J Antimicrob Chemother. 2019;74:326–333. doi: 10.1093/jac/dky453. [DOI] [PubMed] [Google Scholar]
- 59.Nielsen KL, Hansen KH, Nielsen JB, Knudsen JD, Schønning K, et al. Mutational change of CTX-M-15 to CTX-M-127 resulting in mecillinam resistant Escherichia coli during pivmecillinam treatment of a patient. Microbiologyopen. 2019;8:e941. doi: 10.1002/mbo3.941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Edwards T, Williams C, Teethaisong Y, Sealey J, Sasaki S, et al. A highly multiplexed melt-curve assay for detecting the most prevalent carbapenemase, ESBL, and AmpC genes. Diagn Microbiol Infect Dis. 2020;97:115076. doi: 10.1016/j.diagmicrobio.2020.115076. [DOI] [PubMed] [Google Scholar]
- 61.Han MS, Park KS, Jeon JH, Lee JK, Lee JH, et al. SHV hyperproduction as a mechanism for piperacillin-tazobactam resistance in extended-spectrum cephalosporin-susceptible Klebsiella pneumoniae . Microb Drug Resist. 2020;26:334–340. doi: 10.1089/mdr.2019.0079. [DOI] [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
Raw read data and assemblies were submitted under BioProject ID PRJNA644114. Detailed per-strain information on accession numbers, resistance profiles, resistance gene predictions and STs are given in Table S2.