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Journal of Antimicrobial Chemotherapy logoLink to Journal of Antimicrobial Chemotherapy
. 2022 Apr 13;77(7):1873–1882. doi: 10.1093/jac/dkac114

Population structure of blaKPC-harbouring IncN plasmids at a New York City medical centre and evidence for multi-species horizontal transmission

Angela Gomez-Simmonds 1, Medini K Annavajhala 2, Nina Tang 3, Felix D Rozenberg 4, Mehrose Ahmad 5, Heekuk Park 6, Allison J Lopatkin 7,8, Anne Catrin Uhlemann 9,
PMCID: PMC9633718  PMID: 35412609

Abstract

Background

Carbapenem-resistant Enterobacterales (CRE) are highly concerning MDR pathogens. Horizontal transfer of broad-host-range IncN plasmids may contribute to the dissemination of the Klebsiella pneumoniae carbapenemase (KPC), spreading carbapenem resistance among unrelated bacteria. However, the population structure and genetic diversity of IncN plasmids has not been fully elucidated.

Objectives

We reconstructed blaKPC-harbouring IncN plasmid genomes to characterize shared gene content, structural variability, and putative horizontal transfer within and across patients and diverse bacterial clones.

Methods

We performed short- and long-read sequencing and hybrid assembly on 45 CRE isolates with blaKPC-harbouring IncN plasmids. Eight serial isolates from two patients were included to assess intra-patient plasmid dynamics. Comparative genomic analysis was performed to assess structural and sequence similarity across plasmids. Within IncN sublineages defined by plasmid MLST and kmer-based clustering, phylogenetic analysis was used to identify closely related plasmids.

Results

Comparative analysis of IncN plasmid genomes revealed substantial heterogeneity including large rearrangements in serial patient plasmids and differences in structure and content across plasmid clusters. Within plasmid sublineages, core genome content and resistance gene regions were largely conserved. Closely related plasmids (≤1 SNP) were found in highly diverse isolates, including ten pST6 plasmids found in eight bacterial clones from three different species.

Conclusions

Genomic analysis of blaKPC-harbouring IncN plasmids revealed the presence of several distinct sublineages as well as substantial host diversity within plasmid clusters suggestive of frequent mobilization. This study reveals complex plasmid dynamics within a single plasmid family, highlighting the challenge of tracking plasmid-mediated transmission of blaKPC in clinical settings.

Introduction

Carbapenem-resistant Enterobacterales (CRE) are highly concerning MDR pathogens that were identified as an urgent antibiotic threat by CDC in 2019.1 Included among their concerns was the potential for mobile genetic elements (MGEs) encoding carbapenemases to spread readily between different bacteria. Production of the Klebsiella pneumoniae carbapenemase (KPC) has emerged as a leading mechanism for carbapenem resistance in Enterobacteriaceae worldwide, detected in >50% of CRE isolates in a large global epidemiologic study.2  blaKPC and other clinically prominent carbapenemases including blaNDM, blaVIM, blaIMP, and blaOXA-48 are commonly found on plasmids in Enterobacteriaceae, often within transposons or other MGEs, providing multiple potential mechanisms for their dissemination.3–7 Recent studies have shown that within clinical settings, multiple different bacterial species and blaKPC-harbouring plasmids may be present, contributing to complex patterns of both clonal and multi-species CRE dissemination.5,7–9 Advances in next-generation sequencing technology have enabled increasingly comprehensive genomic surveillance of CRE, including detailed characterization of evolution and transmission mechanisms.

Here we aimed to characterize blaKPC-producing IncN plasmids from clinical CRE isolates, which we and others previously found to be present in CRE isolates belonging to different bacterial species and sequence types (STs), suggestive of horizontal plasmid transfer among unrelated bacteria.10–15 We took advantage of single molecule, long-range sequencing, which has been shown to efficiently resolve complex and repetitive genetic structures often found on plasmids to enable detailed analysis of plasmid structures.16–18  De novo assembly of plasmid genomes using a hybrid assembly pipeline enabled comprehensive analysis of plasmid genomes including identification of conserved genes and structural changes in isolates from both serial and unique patient samples. In addition to elucidating their genomic diversity, we sought to further corroborate IncN plasmid transmissibility by assessing plasmid relatedness in diverse bacterial hosts and measuring in vitro conjugation efficiencies.

Materials and methods

Isolate selection

CRE isolates included in this collection were derived from retrospectively collected and catalogued meropenem-resistant clinical cultures (meropenem MIC >2 mg/L) from the clinical microbiology laboratory at a New York City medical centre. As a part of ongoing genomic surveillance efforts,14,19–21 CRE isolates collected at our institution underwent WGS on an Illumina platform followed by determination of the isolate MLST and antibiotic resistance gene (ARG) carriage using SRST2.22–24 For the purposes of this study, the first CRE isolate harbouring blaKPC collected from each patient between 2012–15 was screened for the presence of an IncN plasmid allele using the PlasmidFinder25 database. In an attempt to include consecutive blaKPC-harbouring IncN plasmids in this study, all available isolates with a detectable IncN rep gene underwent long-range sequencing and hybrid assembly as described below; isolates found to have blaKPC located on an IncN plasmid were included in the analysis. To investigate within-patient plasmid variability, we also sequenced six additional CRE isolates collected longitudinally from two different patients. From among three K. pneumoniae ST258 isolates with available long-range sequencing data, three isolates with blaKPC-harbouring IncF plasmids were randomly selected for inclusion in conjugation studies (see below).

Ethics

Study procedures were approved by the Columbia University IRB (protocol #AAAP3617).

Complete plasmid sequencing

Our Illumina sequencing approach has been described previously.20 For long-range sequencing, genomic DNA was manually extracted using the QIAamp DNA Blood Mini Kit (Qiagen) with modifications to reduce shearing. The Rapid Barcoding Kit (RBK004) was used to prepare DNA libraries for nanopore sequencing using the MinION (Oxford Nanopore Technologies). Base-calling and demultiplexing were performed by MinKNOW; reads then underwent additional trimming and filtering using Porechop and Mothur, respectively.26,27 We generated hybrid assemblies from Illumina and Nanopore reads using Unicycler,28 which uses long reads to correct and bridge short-read assemblies followed by additional polishing with accurate Illumina reads. Resulting assembly graphs were visually reviewed using Bandage,29 including use of integrated BLAST searches to identify nodes co-harbouring plasmid replicon genes and blaKPC.30 If necessary, isolates were re-sequenced to achieve assemblies with closed, circular blaKPC-harbouring plasmid sequences without ambiguities. At a minimum, average Illumina read depths of ≥20× for housekeeping genes and ≥10 000 MinION reads with mean lengths of ∼5 kb were targeted to achieve adequate assemblies. Predicted coding regions were annotated using Prokka.31 Transposable elements (IS and transposons) were identified and annotated from ISfinder output.32 Genomes were deposited in Genbank (https://www.ncbi.nlm.nih.gov/genbank/) under BioProject number PRJNA759273.

Plasmid clustering and comparative sequence analysis

To characterize differences across blaKPC-harbouring plasmid genomes, sequences were first aligned and visually compared using ProgressiveMauve33 in Geneious (Biomatters). For plasmids derived from same-patient cultures, we also compared percentage identity across collinear regions using MUMmer4,34 where plasmid genomes were mapped against the earliest available isolate. IncN plasmids from both serial and different patient isolates were genotyped using plasmid MLST typing (pMLST)35 and subdivided into similarity groups using MOB-cluster from the MOB-suite.36 Within each MOB-cluster, SNPs were identified and aligned using Snippy,37 where the earliest available plasmid was used as the reference sequence. Maximum likelihood trees were generated from concatenated SNPs using RAxML v8.2.11 with GTR-GAMMA-based likelihood estimation38 and rooted to the reference plasmid. Support for nodes was assessed using 100 rapid bootstrap inferences and thereafter by searching for best-scoring maximum-likelihood trees. After assessing genetic differences across same-patient plasmids, the presence of ≤1 SNP in shared gene alignments was used to define relatedness in plasmids derived from different patients.

Conjugation analysis

We performed conjugation assays to compare conjugation efficiencies among IncN plasmids from the same patient, among IncN plasmids belonging to different plasmid STs (pSTs), and to clinical blaKPC-harbouring IncF plasmids. IncF plasmids were selected for this analysis because of their frequent association with blaKPC carriage, in particular in isolates belonging to the epidemic clone K. pneumoniae ST258.39 IncN and IncF-carrying CRE donors and rifampicin-resistant Escherichia coli recipients were streaked onto LB agar plates with antibiotic selection (carbenicillin and rifampicin, respectively) and grown overnight at 37°C; single colonies were then used to inoculate 2 mL of LB broth and placed in a shaking incubator for 16 h at 37°C. Cells were collected and resuspended in M9 media (M9CA with 0.4% glucose), combined in a 1:1 mixture, and incubated at 25°C for 1 h. To quantify transconjugants, serial 10-fold dilutions of the cell mixture was plated onto LB agar plates with dual carbenicillin and rifampicin selection. Parent densities were also determined by plating serial 10-fold dilutions of liquid culture onto respective single selective media. Conjugation efficiencies were calculated by dividing the number of transconjugants [colony-forming units (cfu)/mL] by the number of recipients (cfu/mL) times the number of donors (cfu/mL). All experiments were performed in quadruplicate and mean values were compared using one-way ANOVA for individual plasmid means and t-tests for group comparisons in GraphPad Prism v9.0.2.

Results

Characteristics of IncN plasmids and host bacteria

Among 73 unique patient CRE isolates with a detectable IncN allele, 39 isolates were found to have blaKPC encoded by an IncN plasmid and were included in the analysis (Table 1). This represents 14% of 279 patients with blaKPC-positive CRE clinical isolates collected between 2012–15 that were available for Illumina sequencing. We also identified and included six additional isolates from two of these patients with serial isolates (Patients A and B; Table 2). This collection of 45 CRE isolates was highly diverse, comprising 25 different sequence types (STs) from five different bacterial species [K. pneumoniae (n = 30), Enterobacter cloacae complex (n = 8), E. coli (n = 4), Klebsiella oxytoca (n = 2), and Enterobacter asburiae (n = 1)] collected from a variety of culture sites (Tables 1 and 2). Both patients with serial isolates had IncN plasmids identified in at least two different bacterial species. Only six STs included two or more isolates, K. pneumoniae ST17 (n = 4), E. cloacae ST78 (n = 2), E. cloacae ST133 (n = 2), K. pneumoniae ST258 (n = 13), E. coli ST617 (n = 2), and K. pneumoniae ST1471 (n = 4, all isolated from the same patient).

Table 1.

bla KPC-harbouring IncN plasmid characteristics

Isolate number Year Organism Culture type MLST rep gene allele bla KPC subtype Tn4401 subtype pMLST MOB-clustera
pKP0011 2012 K. pneumoniae Blood 1224 IncN1 KPC-2 Tn4401b 6 1
pKP0028 2012 K. pneumoniae Blood 17 IncN1 KPC-2 Tn4401a 9 5
pNR5436 2012 K. pneumoniae Respiratory 258 IncN1/R KPC-2 Tn4401a 9 4
pKP0063 2012 K. pneumoniae Blood 36 IncN1 KPC-3 Tn4401bb 6 1
pKP0925 2012 E. cloacae Blood 93 IncN1 KPC-3 Tn4401b 6 1
pKP0177 2012 K. pneumoniae Blood 258 IncN1/R KPC-2 Tn4401a 9 4
pNR5451 2012 K. pneumoniae Abdominal fluid 258 IncN1/R KPC-2 Tn4401a 9-like 6
pKP0222 2012 K. pneumoniae Blood 1495 IncN1/R KPC-2 Tn4401b 6 S
pKP0247 2013 K. pneumoniae Abdominal fluid 258 IncN1 KPC-2 Tn4401a 9 5
pKP0265 2013 K. pneumoniae Blood 17 IncN1 KPC-2 Tn4401a 9 5
pNR5466 2013 K. pneumoniae Respiratory 258 IncN1/R KPC-2 Tn4401a 9-like 6
pKP0713 2013 K. pneumoniae Blood 258 IncN1/R KPC-2 Tn4401a 9-like S
pNR3086 2013 E. cloacae Urine 78 IncN1 KPC-3 Tn4401b 6 1
pNR0242 2014 E. cloacae Respiratory 269 IncN1 KPC-3 Tn4401b 6 1
pNR0276 2014 E. cloacae Respiratory 78 IncN1 KPC-3 Tn4401bb 6 1
pNR0421 2014 E. coli Urine 617 IncN1 KPC-2 Tn4401bc 6 1
pNR0411 2014 E. coli Urine 617 IncN1 KPC-2 Tn4401bc 6 1
pNR0694 2014 K. pneumoniae Urine 2054 IncN1 KPC-3 Tn4401bb 6 1
pNR0704 2014 K. pneumoniae Rectal swab 841 IncN1 KPC-3 Tn4401b 6 1
pNR0791 2014 E. cloacae Wound 252 IncN1 KPC-3 Tn4401b 7 2
pNR0852 2014 E. cloacae Wound 133 IncN1 KPC-3 Tn4401b 6 1
pNR0976 2014 K. pneumoniae Respiratory 3375 IncN1 KPC-3 Tn4401b 6 1
pNR0970 2014 K. pneumoniae Respiratory 307 IncN1 KPC-3 Tn4401b 7 2
pNR1202 2015 K. pneumoniae Urine 258 IncFIB(pQil)/FII/N1 KPC-3 Tn4401a 9 3
pNR1246 2015 K. pneumoniae Rectal swab 17 IncN1 KPC-3 Tn4401b 7 2
pNR1295 2015 K. oxytoca Urine 363 IncFIB(pQil)/N2 KPC-3 Tn4401bc NA S
pNR1597 2015 K. pneumoniae Urine 17 IncN1 KPC-3 Tn4401b 7 2
pNR1633 2015 K. pneumoniae Urine 340 IncFIB/FII/N1 KPC-3 Tn4401a 9 S
pNR1686 2015 K. pneumoniae Respiratory 258 IncN1 KPC-3 Tn4401a 9 5
pKP1676 2015 K. pneumoniae Blood 258 IncN1 KPC-3 Tn4401a 9 5
pNR1932 2015 K. pneumoniae Urine 42 IncFII/N1 KPC-2 Tn4401b 9 3
pNR2074 2015 K. pneumoniae Urine 258 IncN1 KPC-3 Tn4401a 9 5
pNR2064 2015 E. cloacae Respiratory 133 IncN1 KPC-3 Tn4401b 6 1
pNR2144 2015 K. oxytoca Urine 138 IncN1 KPC-3 Tn4401b 6 1
pNR2679 2015 K. pneumoniae Respiratory 111 IncN1 KPC-3 Tn4401b 6 1
pNR2956 2015 E. coli Respiratory 3168 IncN1 KPC-2 Tn4401a 9-like S
pNR3568 2015 E. coli Wound 4110 IncN1 KPC-3 Tn4401b 6 1
pNR3537 2015 K. pneumoniae Respiratory 76 IncA/C/N1 KPC-3 Tn4401b 6 S
pNR4047 2015 K. pneumoniae Urine 258 IncN1 KPC-2 Tn4401a 9 5

Abbreviations: MLST, multilocus sequence type; kb, kilobases; pMLST, plasmid multilocus sequence type; S, singleton.

a

Refers to plasmid similarity groups determined using MOB-cluster.36

b

210 bp deletion in tnpA.

c

Two copies of Tn4401b present.

Table 2.

IncN plasmids from serial patient isolates

Isolate number Patient Culture site Collection month/year Organism MLST rep gene type bla KPC subtype Tn4401 subtype Plasmid assembly length (kb)
pNR2064 A Respiratory May 2015 E. cloacae 133 IncN1 KPC-3 Tn4401b 70.8
pNR2296 A Respiratory June 2015 K. pneumoniae 1471 IncN1 KPC-3 Tn4401b 71.1
pNR2767 A Pleural fluid June 2015 K. pneumoniae 1471 IncN1 KPC-3 Tn4401b 72.2
pKP1700 A Blood June 2015 K. pneumoniae 1471 IncN1 KPC-3 Tn4401b 60.9
pNR4045 A Respiratory November 2015 K. pneumoniae 1471 IncN1 KPC-3 Tn4401b 72.3
pNR1246 B Rectal swaba January 2015 K. pneumoniae 17 IncN1 KPC-3 Tn4401b 60.6
pNR1247 B Rectal swaba January 2015 E. cloacae 454 IncN1 KPC-3 Tn4401b 60.5
pNR1280 B Respiratory January 2015 E. asburiae 252 IncN1 KPC-3 Tn4401b 59.7

Abbreviations: MLST, multilocus sequence type; kb, kilobases.

a

Host bacteria were isolated from the same culture.

All 45 isolates underwent short- and long-read sequencing and de novo hybrid assembly. The resulting assemblies were highly contiguous and consisted of 2–26 contigs (mean 7.5, SD 4.8). All IncN plasmids were successfully reconstructed into single, circular contigs and had no structural ambiguities seen on assembly graphs. As described further below, they varied substantially in length (54.1–222.1 kb) and structure; 10/45 plasmids harboured additional rep genes identified as IncR (n = 6/10), IncF (n = 3/10), or IncA/C (n = 1/10) replicons. Most plasmids harboured blaKPC-3 (n = 30/45, 63%), which was primarily associated with Tn4401b, although blaKPC-2 and other Tn4401 subtypes were also detected (Tables 1 and 2). IncN plasmids from two E. coli ST617 isolates encoded two complete copies of Tn4401b. In addition to the IncN plasmid, most isolates harboured between one and seven additional plasmids from diverse plasmid families, including IncA/C, IncF, IncHI2/HI2A, IncL/M, IncR, IncY, and Col.

To confirm the reproducibility of our sequencing and assembly approach, one randomly selected isolate from this collection (KP0925) underwent repeat long-read sequencing. De novo assemblies of KP0925 sequences from independent runs showed similar chromosome length (4 829 373 bp versus 4 829 368) and had no structural differences. KP0925 IncN plasmids also had identical length (69 239 bp) and structure, and differed only by one SNP in an intergenic region, supporting high reproducibility of hybrid assemblies.

IncN population structure and shared genome content

To better understand IncN plasmid and host diversity, we analysed the 39 blaKPC-harbouring IncN plasmid genomes found in CRE isolates collected from different patients (for patients with multiple plasmids, only the first plasmid was considered; see Table 1). Almost all plasmids (38/39) harboured the AY046276 repA allele consistent with the IncN1 subgroup whereas one plasmid belonged to the IncN2 subgroup (JF785549 allele).25 Further genotyping of IncN1 plasmids using the pMLST scheme further subdivided them into three main plasmid sequence types (pSTs), pST6 (n = 18), pST7 (n = 4), and pST9 (n = 12) (Table 1). Four additional plasmids lacked at least one complete pMLST allele but were most similar to ST9 plasmids. The IncN2 plasmid backbone lacks sequence homology with IncN1 plasmids and cannot be typed using pMLST.

To define and compare shared regions across groups of IncN1 plasmids, we identified genes common to all plasmid sequences using comparative sequence analysis (Figure 1a). In addition to repE, almost all IncN1 plasmids had an intact tra gene locus, which encodes the conjugal transfer system.40 Additional genes shared by IncN1 plasmids are thought to be involved in plasmid stability and included genes encoding the anti-restriction proteins ardA and ardB;41 the stbA, stbB, and stbC genes thought to promote efficient partitioning;42 the umuC and umuD genes encoding subunits of the error-prone DNA polymerase V;43 a recD2-like helicase which may participate in double-stranded DNA break repair and homologous recombination;44 and dcm and ecoRII, genes encoding a DNA methyltransferase and restriction enzyme comprising a type II restriction-modification system (Figure 1a).45 For most plasmids, these genes were subdivided into two main regions largely comprising the plasmid backbone, although overall plasmid structure varied across pST types. Notably, the tra gene locus was absent in 3/6 IncN1/R plasmids, one of which (pKP0713) also lacked many other backbone genes, including ardA and ardB, stbABC, and recD2.

Figure 1.

Figure 1.

Comparative genomic analysis of IncN plasmids to identify related clusters. (a) In comparing the annotated genome of the first plasmid to be collected belonging to each pMLST in this collection, differences in overall plasmid structure were noted, although core plasmid regions were highly conserved. (b) pST6 plasmids shared a large transposon-rich region harbouring multiple ARGs conferring resistance to multiple drug classes, shown in detail here for representative plasmid pNR2064 (outlined in light orange). This figure appears in colour in the online version of JAC and in black and white in the print version of JAC.

In IncN plasmids belonging to all pST types, conserved loci were interspersed with variable transposon-rich regions such as the ARG-encoding region including Tn4401. Overall, the number of ARGs varied across pST, including differences in the number of additional β-lactamase genes and genes conferring resistance to other drug classes. pST6 plasmids had the highest number of ARGs, with most clustered in an approximately 12 kb region immediately downstream of Tn4401 encompassing a portion of the Tn1331 transposon, in which Tn4401 was embedded,46 and Tn5393 (Figure 2b). Both pST6 and pST7 plasmids encoded the trimethoprim resistance gene dfr; pST7 and pST9 plasmids lacked additional ARGs.

Figure 2.

Figure 2.

Comparative alignment of patient A and B IncN plasmids. Five IncN plasmids ranging in length from 60.9–72.3 kb were isolated from serial blaKPC-producing Enterobacterales isolates collected from patient A. (a) A linear alignment of four patient A IncN plasmid sequences compared with the initial available plasmid, pNR2064, was generated using MUMmer4 to highlight structural differences. Aligned forward sequences are shown in pink and inversions in blue. Resulting plots demonstrated large inversions (shown in blue) in pKP1700 and pNR4045. (b) In contrast, three IncN plasmids from patient B were similar in size (59.7–60.6 kb) and demonstrated similar structure. Serial plasmids from both patients were found in more than one bacterial species. This figure appears in colour in the online version of JAC and in black and white in the print version of JAC.

IncN plasmids from serial patient isolates

To investigate within-patient plasmid variability, we characterized serial blaKPC-harbouring IncN plasmids isolated from two different patients. IncN plasmids were identified in five clinical CRE isolates that were collected from Patient A over the course of 6 months and belonged to two different bacterial species (K. pneumoniae, n = 4; E. cloacae, n = 1; Table 2). These five plasmids had highly similar sequences over aligned regions spanning most of the plasmid genomes (99.4%–99.5% identity and 99.5%–100% coverage compared with the first available isolate, pNR2064). Very few SNPs were observed within protein coding regions including none in genes involved in plasmid stability and conjugation (see above). However, alignment of plasmid genomes revealed deletions as well as large structural rearrangements (Figure 2a) resulting in differences in plasmid sizes, which ranged from 60.9–72.3 kb. Notably, large inversions in pKP1700 and pNR4045 were flanked by transposon-rich regions. Patient B had IncN plasmids in three isolates belonging to three different bacterial species (K. pneumoniae, E. cloacae, and E. asburiae; Table 2). Two of these plasmids were derived from the same rectal swab culture, and the third isolate was collected 11 days later. These plasmids were similar in size (59.7–60.6 kb) and had high pairwise identity (98.4%–99.8% identity, 100% coverage compared with pNR1246). One plasmid (pNR1280) had a 411 bp deletion in an intergenic region as well as several smaller deletions in a hypothetical protein-coding region immediately downstream of repE. Alignment of plasmid genomes demonstrated similar structure with no large genomic rearrangements (Figure 2b). Taken together, these results support the potential for horizontal transmission to occur within single patients leading to multispecies transmission of blaKPC. We also found that large rearrangements leading to structural changes in plasmid genomes may also occur in this setting.

Phylogenetic analysis of IncN plasmid clusters

To better assess plasmid relatedness, we further subdivided IncN1 plasmids into similarity groups using MOB-cluster and performed phylogenetic analysis within each group (here referred to as MOB-clusters, see Table 1). Serial patient plasmids were included in phylogenetic analyses to corroborate our comparative sequence analysis and define criteria for plasmid relatedness. Overall, we identified six different MOB-clusters largely corresponding to pST types. Most pST6 and pST7 plasmids each formed a single cluster while pST9 and pST9-like plasmids comprised four clusters including two or more plasmids. Plasmids from all six MOB-clusters were found in multiple different clonal backgrounds. Five additional plasmids, including three multireplicon plasmids and the IncN2 plasmid pNR1295, did not cluster with other plasmids and were termed singletons.

The largest MOB-cluster (MOB-cluster 1) consisted of 20/22 pST6 plasmids including five patient A plasmids (Figure 3a). MOB-cluster 1 plasmids were highly similar, differing by 0–6 core genome SNPs, and may have recently diverged from a shared ancestor. Many of these SNPs occurred in non-coding regions or hypothetical proteins (7/13, 54%); within plasmid backbone genes, SNPs were limited to 1–2 plasmids (ecoRII, n = 1; dcm, n = 2; ardB, n = 1). Interestingly, three MOB-cluster 1 plasmids had an SNP detected in the blaKPC gene conferring a change in blaKPC subtype from blaKPC-3 to blaKPC-2. Conversely, host bacteria were highly diverse, comprising 14 different STs and four bacterial species. Phylogenetic analysis of MOB-cluster 1 plasmid genomes revealed the presence one dominant sublineage of 13 closely related plasmids, including all serial Patient A plasmids (≤1 SNP; Figure 3a), which likely belonged to the same transmission network. These plasmids were found in three different bacterial species and eight STs, supporting high transmissibility among unrelated bacteria. Interestingly, BLAST analysis of MOB-cluster 1 plasmid genomes against the NCBI non-redundant nucleotide database showed the best hit as a blaKPC-3-harbouring IncN plasmid from K. pneumoniae S12 collected at the same New York City medical centre in 2003 (GenBank accession FJ223605.1).47 Alignment of the first available MOB-cluster 1 plasmid (pKP0011) with the S12 plasmid demonstrated similar plasmid structure and high sequence identity (Figure 3b). MOB-cluster 1 also consisted of two additional pairs of closely related plasmids (Figure 3b). One pair was composed of plasmids from two E. coli ST617 isolates, suggesting clonal spread. The second pair were derived from unrelated hosts, potentially reflecting a second horizontal transfer event.

Figure 3.

Figure 3.

Phylogenetic analysis of Group 1 IncN plasmids and comparison with a historical plasmid. (a) Phylogenetic analysis of largest cluster of plasmids (MOB-Cluster 1) within pST6 showed a dominant group of closely related plasmids derived from unrelated bacteria, corroborating transmission of the IncN plasmid among multiple unrelated bacterial clones. (b) Comparison of a MOB-Cluster 1 plasmid (pKP0011) with a plasmid derived from K. pneumoniae S12 (here designated pS12), a blaKPC-harbouring plasmid collected at the same New York City medical centre in 2003 (GenBank accession FJ223605.1), demonstrated similar structure and high sequence identity. Differences in plasmid length were primarily due to insertion of an arsenic resistance cassette and associated transposases in the tra gene locus of pS12 and other smaller insertions (denoted by grey triangles). Interestingly, an SNP in the blaKPC gene conferred differences in subtype; however, there was otherwise no evidence that Tn4401 underwent independent targeted insertions into this region. This figure appears in colour in the online version of JAC and in black and white in the print version of JAC.

All pST7 plasmids belonged to the same cluster (MOB-cluster 2, n = 6), which differed by 0–15 SNPs. Phylogenetic analysis revealed one branch of closely related plasmids (≤1 SNP; n = 4) consisting of Patient B IncN plasmids and one additional plasmid found in the same clonal background as a Patient B plasmid. Conversely, pST9 and pST9-like plasmid consisted of four different MOB-clusters. Only one cluster of pST9 plasmids (MOB-cluster 5) included two or more plasmids (n = 7). Overall, MOB-cluster 5 plasmid genomes differed by 0–25 SNPs. Within MOB-cluster 5, we identified two sublineages each consisting of three plasmids differing by ≤1 SNP. One of these branches was limited to K. pneumoniae ST258 and may represent clonal spread, while the other was derived from two K. pneumoniae ST258 isolates and one K. pneumoniae ST17 isolate. Taken together, our findings supported the potential for IncN plasmids to spread by horizontal transfer within and between patients, although this seemed to vary across IncN clusters and subsequent clonal spread seemed to be limited.

IncN plasmid conjugation efficiencies

To further assess plasmid transmissibility, we determined conjugative transfer efficiencies of ten different IncN plasmids including five plasmids from patient A and other representative plasmids from pST6 (including an additional plasmid from MOB-cluster 1), pST7, and pST9 (Figure 4a). Mean conjugation efficiencies ranged from 1.79 × 10−14 (SD 1.31 × 10−14) to 8.61 × 10−13 (SD 1.08 × 10−12) for 9/10 isolates. One patient A IncN plasmid (pKP1700) demonstrated substantially lower transferability (mean conjugation efficiency 1.32 × 10−17, SD 9.33 × 10−18). Analysis of the pKP1700 plasmid genome revealed the presence of a large genetic rearrangement leading to deletion of multiple genes from the tra gene locus required for conjugation (Figure 4b). While other large rearrangements were seen in other patient A-derived plasmids, e.g. NR4045, this did not result in loss of genes in this region. Conjugation efficiencies were also compared with those of three randomly selected IncF plasmids from clinical K. pneumoniae ST258 isolates harbouring blaKPC. These IncF plasmids had different genotypes based on rep gene typing as well as demonstrating differences in size and genetic structure [NR5461, IncFIB(K)/FII(K), 229.561 kb; NR5462, IncFIB(pQil)/FII(K), 113.640 kb; NR5486, IncFII(pBK30683), 174.666 kb]; however all were predicted to be conjugative by MOB-typer36 and appeared to have intact tra gene loci. Compared with IncN plasmids with the exception of pKP1700, IncF plasmids demonstrated lower conjugation efficiencies (Figure 4a). Overall, a statistically significant difference in mean conjugation efficiency was detected across all plasmids using one-way ANOVA (F = 3.24, DF = 12, P = 0.003); after adjusting for multiple comparisons only the individual mean differences in conjugation efficiency between the MOB-cluster 1 IncN plasmid pNR0276 and pKP1700 as well as between pNR0276 and the IncF plasmids pNR5461, pNR5462, and pNR5486 were statistically significant (P = 0.04 for all four comparisons). Using a t-test, the mean difference in conjugation efficiency between IncN and IncF plasmids was also statistically significant (2.92 × 10−13 versus 4.05 × 10−16, P = 0.02). These studies support the potential for highly efficient plasmid transfer among IncN plasmids in this collection with intact transfer gene regions.

Figure 4.

Figure 4.

In vitro conjugation of IncN and IncF plasmids into an E. coli recipient. (a) Conjugation efficiencies of blaKPC-harbouring plasmids into a rifampicin-resistant E. coli recipient were compared for ten IncN plasmids, including five plasmids derived from patient A isolates and representative plasmids from other pSTs, as well as three IncF plasmids from K. pneumoniae ST258 isolates. Mean conjugation efficiencies for IncN plasmids were statistically significantly higher than those of IncF plasmids (2.93 × 10−13 versus 4.05 × 10−16, P = 0.02; statistical significance is denoted with an asterisk). The mean conjugation efficiency was notably diminished for pKP1700. Comparative analysis of pST6 plasmid genomes (b) revealed that pKP1700 had a large structural rearrangement resulting in the deletion of multiple tra genes, which are required for conjugation, as shown in a Mauve alignment. Inversion of a large region of the plasmid genome (shown in green) resulted in an approximately 11 kb deletion in pKP1700 resulting in loss of most of the tra gene locus (shown in yellow; the junction at which the deletion occurred is indicated by a red arrow). This figure appears in colour in the online version of JAC and in black and white in the print version of JAC.

Discussion

Taking advantage of long-range sequencing, we were able to comprehensively characterize plasmid genomes from clinical CRE isolates including consecutive plasmids from the broad-host-range IncN plasmid family in order to assess their genomic contents and diversity. Overall, IncN plasmids belonged to six different MOB-clusters distributed among three pST types. Substantial differences in genome organization and content were seen across plasmid sublineages, while a set of core genes appeared to be highly stable across all plasmids. Moreover, IncN plasmid genomes demonstrated the potential for structural heterogeneity, including large genetic rearrangements affecting conserved plasmid regions and transmissibility. Within plasmid clusters, phylogenetic analysis provided evidence for plasmid transmission within single patients as well as across highly diverse Enterobacterales. Taken together, our findings support a need to further investigate multispecies spread of blaKPC and other ARGs while highlighting the challenge of determining plasmid relatedness given their genetic diversity and plasticity.

In several recent genomic studies, IncN plasmids were identified as important drivers for multispecies transmission of blaKPC, with evidence for transmission found between bacteria co-colonizing individual patients and environmental surfaces.10–13,15 While the most common host species was K. pneumoniae, they also appear be important contributors to the spread of blaKPC among diverse carbapenem-resistant E. cloacae.14 This included its acquisition by the widespread ESBL clone ST78, with evidence for subsequent clonal spread. However, unlike the relationship between K. pneumoniae ST258 and blaKPC-harbouring IncF plasmids,48 IncN plasmids have not been consistently associated with specific CRE clones in prior studies. Here we found that most IncN bacterial hosts did not belong to established MDR clones, with E. cloacae ST78 and K. pneumoniae ST258 and ST17 each representing a small proportion of overall bacterial isolates, suggesting limited ongoing propagation of the blaKPC-harbouring IncN plasmid in these lineages. Remarkably, plasmids from MOB-cluster 1, which were identified among multiple unrelated bacteria, shared high sequence identity with an IncN plasmid first isolated and characterized at our institution in 2003.47 These findings suggests that these plasmids may be able to persist without being closely associated with a successful clonal lineage.

In the subset of IncN plasmids tested here and found to have an intact tra gene locus, in vitro conjugation frequencies were relatively high in IncN plasmids, supporting efficient transmission. Although host bacteria may have a variety of mechanisms that allow them to resist uptake of plasmids, we also identified several genes present in all or almost all IncN genomes including across different sublineages that may further facilitate their dissemination, such ardA and ardB encoding anti-restriction proteins and genes that may encode a type II restriction-modification system. Finally, we hypothesize that plasmid plasticity including structural changes seen in some plasmids may contribute to rapid adaptation to different hosts. In IncN plasmids, we identified ubiquitous genes such as umuC and umuD and recD, which may play a role in promoting stress-related mutagenesis and contribute to double-stranded DNA break repair and homologous recombination, respectively. Additional functional studies are needed to further explore the relationship between these genes and plasmid uptake and adaption to different bacterial hosts.

Our study adds to recent literature demonstrating substantial diversity of blaKPC genetic backgrounds using long-range sequencing. While plasmid typing approaches may be used for tracking of other ARGs with more consistent genetic backbones,7,49 we and others found hybrid assembly essential for correctly assigning blaKPC to the correct plasmid backbone while maintaining high fidelity.8,9 Here we were able to not only fully characterize blaKPC genetic context but also assess plasmid relationships. By first assessing intra-patient plasmid dynamics, we were able to determine the amount of genetic diversity that would be expected to accumulate as a result of transmission between different bacterial hosts and culture sites and over time, better informing our assessments of inter-patient plasmid relatedness. Using the SNP distance between plasmids from the same patient as a conservative threshold cutoff for defining plasmid relatedness, we felt we were able to identify plasmids belonging to the same MOB group that were most likely to belong to the same transmission network, although further epidemiological analysis would be needed to confirm recent transmission. Many additional gaps in knowledge regarding mechanisms of plasmid evolution and transmission remain. Our study was limited to a collection of plasmids belonging to a single family and resistance gene profile with very limited comparison with other plasmid types. While we found evidence for both long-term stability of specific plasmid backgrounds and short-term potential for rapid plasmid evolution, the dynamics of plasmid genome plasticity and stability in nosocomial settings and with respect to different host populations remain largely unknown.

In summary, in this collection of CRE isolates from a single hospital, we found evidence for both substantial heterogeneity among blaKPC-harbouring IncN plasmid backbones as well as potential for high transmissibility among diverse bacterial hosts. While this genetic plasticity adds substantial complexity to the detection of plasmid-mediated spread of ARGs, next-generation sequencing technologies are increasingly enabling comparative plasmid genomic studies. Novel tools will be needed to streamline assessments of plasmid transmission in hospitals leading to the spread of blaKPC and other ARGs among unrelated bacteria.

Acknowledgements

We thank the Clinical Microbiology Laboratory at Columbia University Irving Medical Center for assistance obtaining clinical isolates.

Contributor Information

Angela Gomez-Simmonds, Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, 630 W 168th St, New York NY 10032, USA.

Medini K Annavajhala, Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, 630 W 168th St, New York NY 10032, USA.

Nina Tang, Barnard College, Columbia University, 3009 Broadway, New York NY 10027, USA.

Felix D Rozenberg, Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, 630 W 168th St, New York NY 10032, USA.

Mehrose Ahmad, Barnard College, Columbia University, 3009 Broadway, New York NY 10027, USA.

Heekuk Park, Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, 630 W 168th St, New York NY 10032, USA.

Allison J Lopatkin, Barnard College, Columbia University, 3009 Broadway, New York NY 10027, USA; Data Science Institute, Columbia University, 550 W 120th St, New York NY 10027, USA.

Anne Catrin Uhlemann, Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, 630 W 168th St, New York NY 10032, USA.

Funding

This study was supported by the National Institute of Allergy and Infectious Diseases at the National Institutes of Health (RO1 AI116939 to A.C.U. and K23 AI137316 to A.G.S.), the National Institute of General Medical Sciences (R15 1R15GM143694-01 to A.J.L.), and the National Sciences Foundation (2040697 to A.J.L.). The funders of the study had no role in the study design, data collection, data analysis, data interpretation, or writing of the report.

Transparency declarations

A.C.U. has received research funding from Merck unrelated to the current study. All other authors have none to declare.

References

  • 1. CDC . Antibiotic resistance threats in the United States. 2019. https://www.cdc.gov/drugresistance/biggest_threats.html.
  • 2. Castanheira  M, Deshpande  LM, Mendes  RE  et al.  Variations in the occurrence of resistance phenotypes and carbapenemase genes among Enterobacteriaceae isolates in 20 Years of the SENTRY antimicrobial surveillance program. Open Forum Infect Dis  2019; 6: S23–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Poirel  L, Dortet  L, Bernabeu  S  et al.  Genetic features of blaNDM-1-positive Enterobacteriaceae. Antimicrob Agents Chemother  2011; 55: 5403–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Poirel  L, Bonnin  RA, Nordmann  P. Genetic features of the widespread plasmid coding for the carbapenemase OXA-48. Antimicrob Agents Chemother  2012; 56: 559–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Cerqueira  GC, Earl  AM, Ernst  CM  et al.  Multi-institute analysis of carbapenem resistance reveals remarkable diversity, unexplained mechanisms, and limited clonal outbreaks. Proc Natl Acad Sci U S A  2017; 114: 1135–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Matsumura  Y, Peirano  G, Bradford  PA  et al.  Genomic characterization of IMP and VIM carbapenemase-encoding transferable plasmids of Enterobacteriaceae. J Antimicrob Chemother  2018; 73: 3034–8. [DOI] [PubMed] [Google Scholar]
  • 7. David  S, Cohen  V, Reuter  S  et al.  Integrated chromosomal and plasmid sequence analyses reveal diverse modes of carbapenemase gene spread among Klebsiella pneumoniae. Proc Natl Acad Sci  2020; 117: 25043–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Sheppard  AE, Stoesser  N, Wilson  DJ  et al.  Nested Russian doll-like genetic mobility drives rapid dissemination of the carbapenem resistance gene blaKPC. Antimicrob Agents Chemother  2016; 60: 3767–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Stoesser  N, Sheppard  AE, Peirano  G  et al.  Genomic epidemiology of global Klebsiella pneumoniae carbapenemase (KPC)-producing Escherichia coli. Sci Rep  2017; 7: 5917. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Conlan  S, Thomas  PJ, Deming  C  et al.  Single-molecule sequencing to track plasmid diversity of hospital-associated carbapenemase-producing Enterobacteriaceae. Sci Transl Med  2014; 6: 254ra126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Adler  A, Khabra  E, Paikin  S  et al.  Dissemination of the blaKPC gene by clonal spread and horizontal gene transfer: comparative study of incidence and molecular mechanisms. J Antimicrob Chemother  2016; 71: 2143–6. [DOI] [PubMed] [Google Scholar]
  • 12. Navon-Venezia  S, Kondratyeva  K, Carattoli  A. Klebsiella pneumoniae: a major worldwide source and shuttle for antibiotic resistance. FEMS Microbiol Rev  2017; 41: 252–75. [DOI] [PubMed] [Google Scholar]
  • 13. Weingarten  RA, Johnson  RC, Conlan  S  et al.  Genomic analysis of hospital plumbing reveals diverse reservoir of bacterial plasmids conferring carbapenem resistance. MBio  2018; 9: 1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Gomez-Simmonds  A, Annavajhala  MK, Wang  Z  et al.  Genomic and geographic context for the evolution of high-risk carbapenem-resistant Enterobacter cloacae complex clones ST171 and ST78. MBio  2018; 9: e00542-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Hazen  TH, Mettus  R, McElheny  CL  et al.  Diversity among blaKPC-containing plasmids in Escherichia coli and other bacterial species isolated from the same patients. Sci Rep  2018; 8: 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. George  S, Pankhurst  L, Hubbard  A  et al.  Resolving plasmid structures in Enterobacteriaceae using the MinION nanopore sequencer: Assessment of MinION and MinION/Illumina hybrid data assembly approaches. Microb Genomics  2017; 3: 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Li  R, Xie  M, Dong  N  et al.  Efficient generation of complete sequences of MDR-encoding plasmids by rapid assembly of MinION barcoding sequencing data. Gigascience  2018; 7: 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. He  S, Chandler  M, Varani  AM  et al.  Mechanisms of evolution in high-consequence drug resistance plasmids. MBio  2016; 7: e01987-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Macesic  N, Gomez-Simmonds  A, Sullivan  SB  et al.  Genomic surveillance reveals diversity of multi-drug resistant organism colonization and infection: a prospective cohort study in liver transplant recipients. Clin Infect Dis  2018; 67: 905–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Gomez-Simmonds  A, Stump  S, Giddins  MJ  et al.  Clonal background, resistance gene profile, and porin gene mutations modulate in vitro susceptibility to imipenem-relebactam in diverse Enterobacteriaceae. Antimicrob Agents Chemother  2018; 62: e00573-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Macesic  N, Nelson  B, Mcconville  TH  et al.  Emergence of polymyxin resistance in clinical Klebsiella pneumoniae through diverse genetic adaptations: a genomic, retrospective cohort study. Clin Infect Dis  2020; 70: 2084–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Larsen  MV, Cosentino  S, Rasmussen  S  et al.  Multilocus sequence typing of total-genome-sequenced bacteria. J Clin Microbiol  2012; 50: 1355–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Gupta  SK, Padmanabhan  BR, Diene  SM  et al.  ARG-ANNOT, a new bioinformatic tool to discover antibiotic resistance genes in bacterial genomes. Antimicrob Agents Chemother  2014; 58: 212–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Inouye  M, Dashnow  H, Raven  L-A  et al.  SRST2: Rapid genomic surveillance for public health and hospital microbiology labs. Genome Med  2014; 6: 90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Carattoli  A, Zankari  E, García-Fernández  A  et al.  In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother  2014; 58: 3895–903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Wick  RR, Judd  LM, Gorrie  CL  et al.  Completing bacterial genome assemblies with multiplex MinION sequencing. Microb Genomics  2017; 3: e000132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Schloss  PD, Westcott  SL, Ryabin  T  et al.  Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol  2009; 75: 7537–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Wick  RR, Judd  LM, Gorrie  CL  et al.  Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol  2017; 13: e1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Wick  RR, Schultz  MB, Zobel  J  et al.  Bandage: interactive visualization of de novo genome assemblies. Bioinformatics  2015; 31: 3350–2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Camacho  C, Coulouris  G, Avagyan  V  et al.  BLAST+: architecture and applications. BMC Bioinformatics  2009; 10: 421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Seemann  T. Prokka: rapid prokaryotic genome annotation. Bioinformatics  2014; 30: 2068–9. [DOI] [PubMed] [Google Scholar]
  • 32. Siguier  P. ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res  2006; 34: D32–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Darling  AE, Mau  B, Perna  NT. progressiveMauve: Multiple genome alignment with gene gain, loss and rearrangement. PLoS One  2010; 5: e11147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Marçais  G, Delcher  AL, Phillippy  AM  et al.  MUMmer4: A fast and versatile genome alignment system. PLOS Comput Biol  2018; 14: e1005944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. García-Fernández  A, Villa  L, Moodley  A  et al.  Multilocus sequence typing of IncN plasmids. J Antimicrob Chemother  2011; 66: 1987–91. [DOI] [PubMed] [Google Scholar]
  • 36. Robertson  J, Nash  JHE. MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies. Microb Genomics  2018; 4: e000206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Seemann  T. Snippy: fast bacterial variant calling from NGS reads. 2015. https://github.com/tseemann/snippy.
  • 38. Stamatakis  A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics  2014; 30: 1312–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Doumith  M, Findlay  J, Hirani  H  et al.  Major role of pKpQIL-like plasmids in the early dissemination of KPC-type carbapenemases in the UK. J Antimicrob Chemother  2017; 72: 2241–8. [DOI] [PubMed] [Google Scholar]
  • 40. Winans  SC, Walker  GC. Conjugal transfer system of the IncN plasmid pKM101. J Bacteriol  1985; 161: 402–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Belogurov  AA, Delver  EP, Rodzevich  OV. Plasmid pKM101 encodes two nonhomologous antirestriction proteins (ArdA and ArdB) whose expression is controlled by homologous regulatory sequences. J Bacteriol  1993; 175: 4843–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Paterson  ES, Moré  MI, Pillay  G  et al.  Genetic analysis of the mobilization and leading regions of the IncN plasmids pKM101 and pCU1. J Bacteriol  1999; 181: 2572–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Maslowska  KH, Makiela-Dzbenska  K, Fijalkowska  IJ. The SOS system: A complex and tightly regulated response to DNA damage. Environ Mol Mutagen  2019; 60: 368–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Dillingham  MS, Kowalczykowski  SC. RecBCD enzyme and the repair of double-stranded DNA breaks. Microbiol Mol Biol Rev  2008; 72: 642–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Ohno  S, Handa  N, Watanabe-Matsui  M  et al.  Maintenance forced by a restriction-modification system can be modulated by a region in its modification enzyme not essential for methyltransferase activity. J Bacteriol  2008; 190: 2039–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Chen  L, Chavda  KD, Al Laham  N  et al.  Complete nucleotide sequence of a blaKPC-harboring IncI2 plasmid and its dissemination in New Jersey and New York hospitals. Antimicrob Agents Chemother  2013; 57: 5019–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Gootz  TD, Lescoe  MK, Dib-Hajj  F  et al.  Genetic organization of transposase regions surrounding blaKPC carbapenemase genes on plasmids from Klebsiella strains isolated in a New York City Hospital. Antimicrob Agents Chemother  2009; 53: 1998–2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Mathers  AJ, Peirano  G, Pitout  JDD. The role of epidemic resistance plasmids and international high-risk clones in the spread of multidrug-resistant Enterobacteriaceae. Clin Microbiol Rev  2015; 28: 565–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Brehony  C, McGrath  E, Brennan  W  et al.  An MLST approach to support tracking of plasmids carrying OXA-48-like carbapenemase. J Antimicrob Chemother  2019; 74: 1856–62. [DOI] [PMC free article] [PubMed] [Google Scholar]

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