Skip to main content
NCBI home page
mSystems logoLink to mSystems
. 2021 Nov 2;6(6):e00787-21. doi: 10.1128/mSystems.00787-21

Emergence of Ceftazidime- and Avibactam-Resistant Klebsiella pneumoniae Carbapenemase-Producing Pseudomonas aeruginosa in China

Yiwei Zhu a,b,c, Jie Chen a,b,c,*, Han Shen d, Zhongju Chen e, Qi-wen Yang f,g, Jin Zhu h, Xi Li i, Qing Yang j, Feng Zhao k, Jingshu Ji k, Heng Cai a,b,c, Yue Li a,b,c, Linghong Zhang a,b,c, Sebastian Leptihn a, Xiaoting Hua a,b,c,✉, Yunsong Yu a,b,c,✉
Editor: Charles R Langelierl
PMCID: PMC8562488  PMID: 34726488

ABSTRACT

Klebsiella pneumoniae carbapenemase (KPC)-producing Pseudomonas aeruginosa (KPC-PA) has been reported sporadically. However, epidemiological and antimicrobial susceptibility data specific for KPC-PA are lacking. We collected 374 carbapenem-resistant P. aeruginosa (CRPA) isolates from seven hospitals in China from June 2016 to February 2019 and identified the blaKPC-2 gene in 40.4% (n = 151/374) of the isolates. Approximately one-half of all KPC-PA isolates (n = 76/151; 50.3%) were resistant to ceftazidime-avibactam (CAZ-AVI). Combining Kraken2 taxonomy identification and Nanopore sequencing, we identified eight plasmid types, five of which carried blaKPC-2, and 13 combination patterns of these plasmid types. In addition, we identified IS26-ΔTn6296 and Tn1403-like–ΔTn6296 as the two mobile genetic elements that mediated blaKPC-2 transmission. blaKPC-2 plasmid curing in 28 strains restored CAZ-AVI susceptibility, suggesting that blaKPC-2 was the mediator of CAZ-AVI resistance. Furthermore, the blaKPC-2 copy number was found to correlate with KPC expression and, therefore, CAZ-AVI resistance. Taken together, our results suggest that KPC-PA is becoming a clinical threat and that using CAZ-AVI to treat this specific pathogen should be done with caution.

IMPORTANCE Previous research has reported several cases of KPC-PA strains and three KPC-encoding P. aeruginosa plasmid types in China. However, the prevalence and clinical significance of KPC-PA are not available. In addition, the susceptibility of the strains to CAZ-AVI remains unknown. Samples in this study were collected from seven tertiary hospitals prior to CAZ-AVI clinical approval in China. Therefore, our results represent a retrospective study establishing the baseline efficacy of the novel β-lactam/β-lactamase combination agent for treating KPC-PA infections. The observed correlation between the blaKPC copy number and CAZ-AVI resistance suggests that close monitoring of the susceptibility of the strain during treatment is required. It would also be beneficial to screen for the blaKPC gene in CRPA strains for antimicrobial surveillance purposes.

KEYWORDS: carbapenem-resistant Pseudomonas aeruginosa, bla KPC-2 , ceftazidime-avibactam, Pseudomonas aeruginosa

INTRODUCTION

Pseudomonas aeruginosa belongs to the most common opportunistic pathogens. Increasing numbers of clinical isolates show resistance to antibiotics, including carbapenems. Although carbapenems are still among the first-line therapeutics for infections caused by multidrug-resistant (MDR) P. aeruginosa strains, carbapenem-resistant P. aeruginosa (CRPA) strains are increasingly being observed in the clinic. CRPA belongs to the pathogens listed by the World Health Organization (WHO) that are considered of high relevance for human health and for which new antibiotics or clinical strategies are urgently needed (1).

Approved by the U.S. Food and Drug Administration (FDA) in 2015, ceftazidime-avibactam (CAZ-AVI), a novel β-lactam/β-lactamase inhibitor (BLBLI) combination agent, has been deployed in the clinic for complicated intra-abdominal infections and hospital-acquired pneumonia caused by multidrug-resistant Enterobacteriaceae and P. aeruginosa (2). The inhibition spectrum of avibactam includes the Klebsiella pneumoniae carbapenemase (KPC) family (3). According to International Network for Optimal Resistance Monitoring (INFORM) global surveillance programs (4–6), CAZ-AVI susceptibility rates are between 84 and 90% to CRPA strains that do not express metallo-β-lactamase (MBL). However, currently, no study has detailed the CAZ-AVI susceptibility of KPC-producing P. aeruginosa (KPC-PA) as a single group and investigated resistance mechanisms, possibly due to its relatively lower prevalence than its counterpart in carbapenem-resistant Enterobacteriaceae (CRE) (7), although the last decade has witnessed an increasing number of blaKPC genes detected in clinical P. aeruginosa isolates (8–13).

The antibiotic resistance gene (ARG) blaKPC is most commonly plasmid borne (14–17). The NCBI GenBank database lists 17 complete KPC-encoding P. aeruginosa plasmids, among which 3 plasmid types have been reported in China (see Table S1 in the supplemental material). The first type was identified recently in East China and has not been assigned to any IncP type yet (15, 16). The second type belongs to a megaplasmid family associated with multiple ARGs, spreading widely around the world (17). The third type is an IncP-6 plasmid with a novel blaKPC-adjacent region (18). However, most of these studies were case reports and focused on the description of blaKPC and its adjacent sequences. Therefore, the distribution of KPC-encoding P. aeruginosa plasmids remains unclear.

TABLE S1

KPC-encoded P. aeruginosa replicons in the NCBI database. Download Table S1, DOCX file, 0.01 MB (13.8KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

In this study, we analyzed the prevalence of KPC-PA strains from seven hospitals in China from June 2016 to February 2019 and tested in vitro antimicrobial susceptibility. We used Illumina and Nanopore sequencing to elucidate the molecular epidemiology and genetic characteristics of the KPC-PA strains. Our data revealed a high rate of resistance (50.3%) to CAZ-AVI of KPC-PA in China. In addition, we deciphered the plasmidome of KPA-PA and identified five KPC-carrying plasmid types. Furthermore, we found that the blaKPC-2 copy number correlated with CAZ-AVI resistance.

RESULTS

Geographic distribution, antimicrobial susceptibility, and clinical data.

A total of 374 CRPA clinical isolates were collected from seven hospitals in China (Sir Run Run Shaw Hospital [SRRSH], n = 86 [23.0%]; First Affiliated Hospital of Zhejiang University [FAHZU], n = 71 [19.0%]; Wuhan Tongji Hospital [WTJH], n = 50 [13.4%]; Peking Union Medical College Hospital [PUMCH], n = 50 [13.4%]; Nanjing Drum Tower Hospital [NDTH], n = 44 [11.8%]; Provincial People’s Hospital of Zhejiang [ZPPH], n = 38 [10.2%]; Quzhou People’s Hospital [QZPH], n = 35 [9.4%]). A total of 151 (40.4%) strains were blaKPC positive based on PCR screens. All blaKPC genes were blaKPC-2. blaKPC-2 genes were detected in CRPA isolates from all hospitals with the exception of PUMCH. The percentage of blaKPC-2-positive strains of CRPA varied among hospitals from 11.9% (NDTH) to 92.1% (ZPPH) (Fig. 1A). Antimicrobial susceptibility tests of the 151 KPC-PA isolates revealed high-level (>90%) resistance to all β-lactams except CAZ-AVI and fluoroquinolones (Table 1). Most isolates (n = 141/151; 93.4%) met the criteria of difficult-to-treat resistance (19). Half of the isolates (n = 76/151; 50.3%) were resistant to CAZ-AVI. The CAZ-AVI resistance rate of KPC-PA in each hospital varied substantially (Fig. 1B). The aminoglycoside resistance rates were low, ranging from 4.0% to 8.6%. No strain was resistant to colistin. Three strains from NDTH were extensively drug resistant and susceptible only to colistin. Complete results are shown in Table S2 in the supplemental material.

FIG 1.

FIG 1

Open in a new tab

Geographic distribution of strains in this study. (A) Percentages represent the ratios of KPC-PA isolates of CRPA strains from each hospital. (B) Percentages represent the ratios of CAZ-AVI-resistant P. aeruginosa isolates of KPC-PA strains from each hospital. PUMCH, Peking Union Medical College Hospital; WTJH, Wuhan Tongji Hospital; NDTH, Nanjing Drum Tower Hospital; FAHZU, First Affiliated Hospital of Zhejiang University; SRRSH, Sir Run Run Shaw Hospital; ZPPH, Provincial People’s Hospital of Zhejiang; QZPH, Quzhou People’s Hospital; R, resistant; S, susceptible. The maps were drawn using the R package mapchina (https://github.com/xmc811/mapchina), and the data source was derived from https://www.openstreetmap.org.

TABLE 1.

In vitro antimicrobial susceptibility tests of KPC-producing P. aeruginosa strains from 6 hospitals in Chinaa

Antibiotic MIC (mg/liter)
 %
resistance		 CLSI
cutoff
(mg/liter)
MIC50 MIC90 MIC range
TZP >256/4 >256/4 16/4 to >256/4 99.34 128/4
CAZ 128 256 32 to >256 100.00 32
FEP >256 >256 16 to >256 99.34 32
IPM >128 >128 32 to >128 100.00 8
MEM >128 >128 16 to >128 100.00 8
ATM >128 >128 32 to >128 100.00 32
CAZ-AVI 16/4 32/4 2/4 to >64/4 50.33 16/4
AK 4 16 1 to >64 3.97 64
CN 4 8 0.25 to >64 8.61 16
TOB 1 2 0.25 to >64 3.97 16
CIP >16 >16 0.12 to >16 94.04 2
LEV >32 >32 0.5 to >32 93.38 4
CO 0.5 0.5 <0.03 to 2 0.00 4
Open in a new tab
a

TZP, piperacillin-tazobactam; CAZ, ceftazidime; FEP, cefepime; IPM, imipenem; MEM, meropenem; ATM, aztreonam; CAZ-AVI, ceftazidime-avibactam; AK, amikacin; CN, gentamicin; TOB, tobramycin; CIP, ciprofloxacin; LEV, levofloxacin; CO, colistin.

TABLE S2

Antimicrobial susceptibility and antimicrobial resistance genes. Download Table S2, XLSX file, 0.1 MB (116.3KB, xlsx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

Most of the CRPA samples were collected from intensive care units (ICUs) (n = 115; 30.7%) and general surgery departments (n = 85; 22.7%). There was no statistically significant difference in the distributions of KPC-PA and non-KPC-PA isolates among clinical departments. Of note, KPC-PA was strongly associated with urine and abdominal drainage samples (Fisher exact odds ratios [ORs] [95% confidence intervals {CIs}] were 7.48 [3.25 to 19.35] and 3.29 [1.63 to 6.87] [adjusted P < 0.0001]) (Table S3). The high carriage rate of blaKPC genes in P. aeruginosa from these samples endorsed the role of novel class A carbapenemase inhibitors in the treatment of intra-abdominal infection and urinary tract infection as the indications for CAZ-AVI.

TABLE S3

Statistical analysis of metadata. Download Table S3, DOCX file, 0.02 MB (23.6KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

Molecular epidemiology.

Making use of Illumina sequencing data available for 151 KPC-PA strains, we found that multilocus sequence typing (MLST) indicated three main KPC-PA sequence types (STs), ST463 (n = 107; 70.9%), ST485 (n = 14; 9.3%), and ST1212 (n = 12; 7.9%), dominating in different geographic regions (Fig. 2). ST463 was mainly found in cities in East China (Nanjing [n = 5/5; 100%], Hangzhou [n = 85/113; 75.2%], and Quzhou [n = 17/19; 89.5%]), while ST485 (n = 14/14; 100%) is the main KPC-PA ST of Wuhan in Central China.

FIG 2.

FIG 2

Open in a new tab

Core-genome phylogenetic tree and plasmid patterns. The innermost layer is a maximum likelihood phylogenetic tree of KPC-PA strains. The colors of the tip labels indicate sequence types (ST). The second ring indicates cities where the strains were isolated. The third ring represents the classification of the plasmid composition in each strain. The outer heat map represents plasmid types resident in each strain.

Kraken2-based plasmid contig classification of the P. aeruginosa plasmidome.

Eight plasmid types were identified in the CRPA strains. According to their combination in each strain (plasmid pattern), we assigned all the strains to 13 groups named patterns A to M (Fig. 2 and Table 2). Pattern A (n = 100; 66.2%) and pattern B (n = 19; 12.6%) were the major plasmid patterns, representing strains harboring only type I and II plasmids, respectively. Twenty-one isolates of five plasmid patterns contained more than one plasmid type individually. An association of some plasmid types with STs was observed. The type I plasmids were mainly found in ST463 and ST1212 strains. The type II plasmids were most commonly encountered in ST485 and ST463 strains, and the type VIII plasmids were exclusively carried by ST1212 strains. We selected representatives from each plasmid pattern for Nanopore long-read sequencing. Five KPC-encoding plasmid types were obtained (Fig. 3; a detailed description of each plasmid type can be found in the supplemental information text and Fig. S1 to S5 at https://doi.org/10.6084/m9.figshare.14802648.v6).

TABLE 2.

Plasmid patterns and types defined by Kraken2 taxonomy classification

Plasmid
pattern		 Plasmid
type(s)		 No. of
strains		 Representative
strain
A I 100 SRRSH1002
B II 19 WTJH12
C III 1 FAHZU40
D IV 1 QZPH41
E V 1 FAHZU31
F VI 2 SRRSH1521
G No plasmid 5 SRRSH15
H I, II 1 ZPPH8
I I, VII 7 SRRSH2790
J I, VIII 5 ZPPH2
K II, VII 2 ZPPH29
L I, VII, VIII 6 ZPPH1
M I, IV, VII, VIII 1 ZPPH33
Open in a new tab

FIG 3.

FIG 3

Open in a new tab

Five KPC-encoding plasmids identified in this study. For each plasmid plot, the innermost ring represents the GC skew, where sky blue means a skew to A and T and orange means a skew to G and C. The second ring from the innermost ring represents the GC content, where light green represents a percent GC content higher than the median and dark pink represents a percent GC content lower than the median (sliding window of 500 bp). The third ring shows the backbone (gray) and insertion region (black) of the plasmid. The outmost ring shows genes on representatives of each plasmid type (GenBank accession number): type I, pZPPH1-KPC (CP077990); type II, pWTJH12-KPC (CP064404); type III, pFAHZU40-KPC (CP078008); type IV, pQZPH41-KPC (CP064400); type V, pFAHZU31-KPC (CP078010). 5′CS, 5′ common sequence; PRTRC, ParB-related, ThiF-related cassette; T2SS, type II secretion system; SAM, S-adenosylmethionine.

Analysis of each of the plasmid types revealed several common features of these plasmids. First, despite the diversity of plasmid types, the core blaKPC-2 genetic platform ISKpn27-blaKPC-2-ISKpn6 remained identical in almost all samples. There were two prototypes of blaKPC-2-associated mobile genetic elements, IS26-ΔTn6296 and Tn1403-like–ΔTn6296 (see Fig. S1B and Fig. S6 at https://doi.org/10.6084/m9.figshare.14802648.v6), both of which belonged to the Tn21 subfamily of the Tn3 family of transposons (20). The identical core blaKPC-2 platform indicated that the promoter region variation probably did not contribute to KPC overexpression and CAZ-AVI resistance. Novel promoter regions were detected only in strains FAHZU40 and NDTH9845 (see Fig. S3C and Fig. S7 at https://doi.org/10.6084/m9.figshare.14802648.v6). Second, the blaKPC-2-adjacent region beyond the core platform varied by multiple IS26-mediated inversion or duplication events, amplifying the blaKPC-2 gene dosage. It could be supported by the comparison of plasmids pSRRSH1002-KPC and pSRRSH1408-KPC (see Fig. S1C at https://doi.org/10.6084/m9.figshare.14802648.v6). In addition, aside from plasmids, the integration of blaKPC-2-associated mobile genetic elements (MGEs) into the chromosome also participated in reshaping the chromosome structure. For instance, on the strain NDTH10366 chromosome, the three tandem repeats of the blaKPC-2-associated MGE array promoted two large chromosome segment translocations (see Fig. S8 at https://doi.org/10.6084/m9.figshare.14802648.v6).

CRISPR/Cas9-based plasmid curing facilitates the identification of blaKPC-2-associated MGE locations and their impact on CAZ-AVI susceptibility.

As described above, blaKPC-2 was located in a transposon like Tn6296, which made it difficult to identify its location unambiguously based on short-read mapping. Although we selected representatives of each plasmid pattern to perform Nanopore long-read sequencing, it was still uncertain to infer the blaKPC-2 location in the remaining strains. To address this problem, we implemented a CRISPR/Cas9-based plasmid-curing system. As an example, we took the type I plasmid. It was reasonable to conclude that the blaKPC-2 gene was located only on the type I plasmid if the gene was not detected by PCR after the plasmid had been removed; otherwise, the gene might additionally be located on the chromosome or other coexisting plasmids. With this high-throughput method, we successfully cured the type I plasmids in 28 strains. The blaKPC-2 gene was still detected in four strains after type I plasmid curing, indicating that it had transposed to other replicons. The successful curing of blaKPC-carrying plasmids was further demonstrated by the restoration of CAZ-AVI susceptibility (Table 3). Our results supported the conclusion that in most scenarios, the blaKPC-2 genes were located in only one replicon and that transposition to other sites was less frequent. After curing type I plasmids, all the isolates (n = 28) turned susceptible to CAZ-AVI, including the strains harboring blaKPC-2 at other locations (chromosome and/or other plasmids). This indicated that multiple blaKPC-2 copies were the major mechanisms for CAZ-AVI resistance in P. aeruginosa. Reducing the copy number and not necessarily eliminating all blaKPC-2 copies might also mitigate CAZ-AVI resistance.

TABLE 3.

Antimicrobial susceptibilities before and after type I plasmid curinga

Antibiotic Before curing
 After curing
MIC50
(mg/liter)		 MIC90
(mg/liter)		 MIC50
(mg/liter)		 MIC90
(mg/liter)
IPM >128 >128 8 >128
MEM >128 >128 64 >128
CAZ 256 256 2 32
CAZ-AVI 16/4 64/4 2/4 4/4
Open in a new tab
a

IPM, imipenem; MEM, meropenem; CAZ, ceftazidime; CAZ-AVI, ceftazidime-avibactam.

blaKPC-2 copy number correlated with CAZ-AVI resistance.

CAZ-AVI is a comparably new β-lactam/β-lactamase inhibitor (BLBLI) playing an important role in treating infections caused by KPC-producing organisms. In our samples, almost all KPC-PA strains exhibited high-level resistance to carbapenems (>128 mg/liter), while the susceptibility to CAZ-AVI varied in a large range (2/4 to 512/4 mg/liter). Based on the results described above, we further investigated the correlation between blaKPC-2 copy numbers and CAZ-AVI MIC values. Two strains containing MBLs (NDTH9845 and NDTH10366) were excluded since avibactam had no inhibitory effect on MBLs. We found a clear correlation of the blaKPC-2 gene copy numbers with the CAZ-AVI MIC values (Spearman rank correlation [ρ] = 0.491; P < 0.0001). Statistically significant differences in the blaKPC-2 gene copy numbers were observed among CAZ-AVI MIC groups (2/4 to 32/4 mg/liter) (Fig. 4A). However, when high levels of resistance (≥64/4 mg/liter) were observed, the relationship was less obvious, possibly due to the comparably few strains exhibiting high-level resistance to CAZ-AVI (n = 6).

FIG 4.

FIG 4

Open in a new tab

Correlation among blaKPC-2 copy numbers, expression levels, and CAZ-AVI MICs. (A) blaKPC-2 gene copy number comparison among strains (n = 149) in different CAZ-AVI MIC groups. *, **, and *** represent adjusted P values of <0.05, <0.01, and <0.001, respectively, as determined by a Dunn test. (B) blaKPC-2 transcription comparison between susceptible (n = 4) and resistant (n = 6) strains (Wilcoxon rank sum exact test W = 60; P < 0.01). (C) Correlation between blaKPC-2 copy numbers and KPC transcription levels (n = 10) (Spearman ρ = 0.58; P < 0.001). (D) Correlation between CAZ-AVI MICs and KPC transcription levels (n = 10) (Spearman ρ = 0.67; P < 0.0001). Box plots indicate data from biological triplicates for each strain. Cq, quantification cycle.

We further quantified KPC expression in 10 selected strains. We found that the blaKPC-2 expression level was significantly higher in the CAZ-AVI-resistant group than in the susceptible group (P < 0.001 by a Wilcoxon rank sum test) (Fig. 4B). The blaKPC-2 expression level correlated with its gene copy number (Spearman ρ = 0.58; P < 0.001) (Fig. 4C) and also the CAZ-AVI MIC (Spearman ρ = 0.67; P < 0.0001) (Fig. 4D). This supported a gene dosage effect with multiple gene copies increasing the level of gene expression.

Impact of other AMR mechanisms on CAZ-AVI resistance.

Besides blaKPC-2, other chromosomal ARGs had also been linked to CAZ-AVI resistance, including those encoding the Pseudomonas-derived cephalosporinase (PDC), the efflux pump MexAB-OprM, and penicillin-binding protein 3 (PBP3) (2). Overexpression of PDC and its variants that could contribute to CAZ-AVI resistance was not detected. The overexpression of the efflux pump MexAB-OprM and the F533L mutation in PBP3 might contribute to CAZ-AVI resistance (see Fig. S9 at https://doi.org/10.6084/m9.figshare.14802648.v6; see also Table S2 in the supplemental material). However, restoring CAZ-AVI susceptibility after curing KPC-encoding plasmids indicated that these ARG effects were minor.

DISCUSSION

In this study, we focused on a specific subpopulation of CRPA: KPC-PA. At the point of time when the bacteria were isolated, the KPC-PA strains showed moderate susceptibility (50.3%) to CAZ-AVI. The MICs of approximately 70% of strains were at the breakpoint margin (8/4 to 16/4 mg/liter). Deploying Kraken2 taxonomy classification and Nanopore long-read sequencing, we were able to decipher the plasmidome of KPC-PA and identify five KPC-encoding plasmid types. We found that the blaKPC-2 copy number variation was caused by mobile genetic elements, in particular IS26-mediated transposition. Combining sequencing depth calculation, plasmid curing, and gene expression measurement, we revealed that the blaKPC-2 copy number correlated with CAZ-AVI resistance.

Previous epidemiological surveillance studies had focused on CRPA. One of the largest studies performed in China reported that rates of resistance of CRPA to CAZ-AVI were 34.3% in 2017 (21) and 35.7% in 2018 (22). The strains investigated in our study were collected around the same period. Therefore, we inferred that KPC-PA exhibited a higher CAZ-AVI resistance rate than the overall CRPA population. No screening was performed regarding the blaKPC-2 gene in these surveillance studies, which reflected the unawareness of which important role this ARG played in P. aeruginosa.

The origin of the blaKPC-2 gene in P. aeruginosa is probably an interspecies transmission event between P. aeruginosa and K. pneumoniae, as the blaKPC-2-associated MGEs were nearly identical (23). A previous study (24) indicated that 65% of carbapenem-resistant K. pneumoniae isolates in China carried the blaKPC-2 gene, which made it the most prevalent carbapenemase in this species and might have been horizontally transferred to P. aeruginosa. It should also be noted that most KPC-encoding plasmid types have not yet been found in Enterobacteriaceae. It is possible that the transfer of enterobacterial plasmids to P. aeruginosa, in which they cannot replicate and be maintained, still gives the blaKPC-2-associated MGEs on them an opportunity to transpose onto resident plasmids or the chromosome (20). The emergence of the predominant ST463 clone is worrisome. It is possible that capturing the KPC-encoding plasmid allows it to survive in clinical environments where the antibiotic pressure is high (25). Such specific associations between plasmid types and bacterial clones have been observed in previous studies (26). It leaves for future investigation why the specific combination of a type I plasmid and an ST463 strain is so successful in the clinic.

Our study found a correlation between blaKPC-2 copy number variation and CAZ-AVI resistance. Previous studies had demonstrated that β-lactamase gene amplification correlated with susceptibility to β-lactam/β-lactamase inhibitor combination agents (27–29). Our results showing that insertion sequence (IS)-mediated gene amplification contributes to CAZ-AVI MIC elevations support these conclusions.

The CAZ-AVI resistance mechanisms have been explored in previous studies. As for KPC-producing organisms, the most common mechanisms were substitutions in KPC, especially in the Ω-loop (2). In our study, KPC variants were not identified. CAZ-AVI-resistant KPC variants in P. aeruginosa were sparsely reported (30). In P. aeruginosa, CAZ-AVI-resistant PDC variants (e.g., ΔD217-Y221 and ΔR210-E219) have been identified (31). The overexpression of blaPDC and an efflux pump and decreased membrane permeability had been reported to be associated with CAZ-AVI resistance (24, 32–34). However, experiments in PAO1 indicated that this issue remains controversial (31). Promoter region variation could also affect gene expression. A previous study in Enterobacteriaceae indicated that there were three promoters between ISKpn27 and blaKPC-2 and that the promoter PY is of the utmost importance (35). Since almost all of the blaKPC-2 genes are located in the core ΔTn6296 platform and the promoter region sequences were identical to the prototype sequence, we argued that promoter variation was unlikely to interfere with blaKPC-2 expression in our samples.

There are some limitations of our study. One is that the sampling hospitals are limited and mainly in East China. Therefore, the actual prevalence of KPC-PA across the whole country remains uncertain. As discussed above, our investigation could be seen as a pilot study, and thus, we highly recommend screening for blaKPC genes in nationwide antimicrobial surveillance studies. The other potential limitation is that the Kraken2 taxonomy identifier cannot identify integrative and conjugative elements (ICEs) and prophages that either stay independent (like a plasmid) or integrate onto the chromosome. In addition, we selected contigs whose lengths were >8 kb, which might exclude smaller plasmid contigs. As a consequence, we supposed that strain ZPPH1 harbored type I, VII, and VIII plasmids, but Nanopore sequencing indicated that it harbored two more circularized replicons, a prophage and a 3-kb-long plasmid. We found this small plasmid in 20 strains. However, we believe that this technical limitation does not substantially change the main results of our study.

Conclusions.

Our study clearly shows that KPC-PA represents a threat to the health care system in China. Therefore, we propose to screen for blaKPC genes in CRPA isolates in nationwide surveillance projects. We believe that such studies are able to guide the therapeutic deployment of CAZ-AVI for the treatment of KPC-PA infections.

MATERIALS AND METHODS

Additional details are provided in the supplemental material at https://doi.org/10.6084/m9.figshare.14802648.v6.

Sample collection and antimicrobial susceptibility tests.

Clinical CRPA isolates were collected from seven hospitals around China, including Sir Run Run Shaw Hospital (SRRSH), the First Affiliated Hospital of Zhejiang University (FAHZU), the Provincial People’s Hospital of Zhejiang (ZPPH), Quzhou People’s Hospital (QZPH), Nanjing Drum Tower Hospital (NDTH), Wuhan Tongji Hospital (WTJH), and the Peking Union Medical College Hospital (PUMCH). The blaKPC gene was screened by PCR with primers KPC-2_FW and KPC-2_RV (see Table S4 in the supplemental material).

TABLE S4

Primers used in this study. Download Table S4, DOCX file, 0.01 MB (14.8KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

In vitro antibiotic susceptibilities were determined by broth microdilution or agar dilution methods. Breakpoints were determined according to Clinical and Laboratory Standards Institute (CLSI) document M100, 30th ed. (36). The definition of CRPA is a P. aeruginosa strain that exhibits MICs of either imipenem or meropenem of ≥8 mg/liter. P. aeruginosa strain ATCC 27853 and K. pneumoniae strain ATCC 700603 were used as the quality controls.

Whole-genome sequencing and de novo assembly.

For 151 KPC-PA strains, genomic DNA was extracted using a QIAamp DNA minikit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. Libraries were prepared using the TruePrep DNA library prep kit V2 for Illumina (Vazyme Biotech, Nanjing, China). Sequencing was performed on an Illumina X Ten platform (Illumina Inc., CA, USA). The 150-bp paired-end reads were generated and de novo assembled using shovill v1.1.0 (37) with the options “–mincov 10 –minlen 200 –trim.” SPAdes v.3.13-v.3.14 (38) was used for assembly.

Pseudomonas plasmid sequence identification.

The Illumina short reads were mapped onto three representative plasmid sequences (GenBank accession numbers KY296095.1, MN433457.1, and KU578314.1) using bwa-mem v.0.7.17 (39). The plasmids were categorized into three types based on sequencing coverage (with a 50% cutoff). A Kraken2-based method as described in a recent study (40) was implemented to identify plasmid contigs. A customized Kraken2 library was built using 233 complete chromosomes and 97 circular Pseudomonas aeruginosa plasmids from the Pseudomonas Genome Database (version 20.2) and the NCBI database, respectively (Table S5). Contigs that potentially belonged to pseudomonal plasmids were extracted using the Kraken2 taxonomy identifier (41, 42). Contigs belonging to two main plasmid types (types I and II) were filtered out by mummer (43). The criterion was a ratio of the matched length to the contig length of >50%. The remaining contigs, longer than 8 kb and potentially other uncharacterized plasmids, were clustered by CD-HIT-EST v.4.8.1 with the options “-c 0.9 -A 0.9” (44), and their plasmid derivation was obtained by BLAST analysis (45) of the NCBI database. The plasmid composition of each strain, defined as the plasmid pattern, was preliminarily inferred.

TABLE S5

GenBank accession numbers of 233 chromosomes and 97 plasmids to construct a customized Kraken2 library. Download Table S5, DOCX file, 0.01 MB (15.9KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

Nanopore long-read sequencing and hybrid assembly.

Representative strains of each plasmid pattern (n = 22) were selected for Nanopore MinION long-read sequencing (Oxford Nanopore Technologies, Oxford, UK). Nanopore long reads of each sample were hybrid assembled with the corresponding Illumina short reads via Unicycler v.0.4.8 (46) or first assembled by canu v.2.0 (47) and further polished using Illumina short reads.

Sequencing depth measurement.

To estimate the mean sequencing depth of each strain, Illumina short reads were realigned to draft genomes using bwa-mem v.0.7.17 (39). To assess the chromosome sequencing depth, single-copy gene regions were selected to calculate their average depth using samtools v.1.11 (48) with the option “depth -aa.” The blaKPC-2 gene copy number was represented by the ratio of the sequencing depth of the gene to that of the chromosome.

Phylogenetic tree construction.

The maximum likelihood phylogenetic tree was generated by RAxML-NG v.1.0.1 (49) with 100 tree searches (50 random and 50 parsimony-based starting trees) and bootstrap replicates (autoMRE criterion). A circular tree layout with an associated heat map was constructed by the R package ggtree v.2.2.4 (50).

Reverse transcription-quantitative PCR.

Relative KPC expression was measured in 10 strains at the mid-exponential phase (optical density at 600 nm [OD600] of ∼0.4 to 0.8). Total RNAs were extracted using E.Z.N.A. total RNA kit I (Omega Bio-Tek, GA, USA). Reverse transcription and quantitative PCR (qPCR) were performed using the PrimeScript RT reagent kit with gDNA Eraser and TB green premix ExTaq (TaKaRa, Beijing, China). Specific qPCR primers were designed (Table S4).

KPC-encoding plasmid curing.

A CRISPR/Cas9-based plasmid-curing method was used to batch cure plasmids. A single-plasmid tool, pCasCurePA, was developed from a previously reported pseudomonal CRISPR/Cas9 gene-editing two-plasmid system (51). The spacer sequence (GCCACGGACCCGTGCAAGCA) was designed in the replicate protein repA gene region using sgRNAcas9 v3.0.5 (52). The CRISPR/Cas plasmid curing system was induced by l-arabinose according to a previous study (53).

Statistical analysis.

All statistical analyses were performed using built-in methods (shapiro.test, dunn.test, fisher.test, cor.test, and p.adjust) in R v.4.0.0-v.4.0.2 and Rstudio v.1.2.5001.

Ethics approval and consent to participate.

Approval was obtained from the Ethics Committee of Sir Run Run Shaw Hospital (approval/reference number 20201118-49). This study was not considered a human research study. Therefore, no informed consent to participate was required. This study conformed to the principles of the Declaration of Helsinki.

Data availability.

All the sequence data were deposited in the DDBJ/ENA/GenBank database under BioProject accession number PRJNA672835. The genome sequences of strains NDTH10366 and NDTH9845 have been submitted to GenBank under the following accession numbers: CP064401 (NDTH10366 chromosome), CP064402 (NDTH10366 plasmid), CP073080 (NDTH9845 chromosome), and CP073081 (NDTH9845 plasmid).

Supplementary Material

Reviewer comments
reviewer-comments.pdf (1.1MB, pdf)

ACKNOWLEDGMENTS

We thank Quanjiang Ji of ShanghaiTech University for kindly giving us the CRISPR/Cas9 gene-editing tools as a courtesy.

Y.Y. conceived, designed, and coordinated this study. H.S., Z.C., Q.Y., J.Z., X.L., Q.Y., and F.Z. collected the isolates from the respective hospitals. Y.Z. and J.C. performed the microbiological cultures of the isolates, antimicrobial susceptibility tests, plasmid curing, and gene expression measurement. J.J., H.C., Y.L., and L.Z. provided help to extract genomic DNA and perform genome sequencing. Y.Z. and X.H. analyzed the genome sequencing data. Y.Z. wrote the initial version of the manuscript. X.H., S.L., and Y.Y. revised the manuscript. All authors read and approved the final manuscript.

This study is supported by the National Natural Science Foundation of China (grant number 81830069).

We declare that we have no competing interests.

Contributor Information

Xiaoting Hua, Email: xiaotinghua@zju.edu.cn.

Yunsong Yu, Email: yvys119@zju.edu.cn.

Charles R. Langelier, University of California, San Francisco

REFERENCES

  • 1.Tacconelli E, Carrara E, Savoldi A, Harbarth S, Mendelson M, Monnet DL, Pulcini C, Kahlmeter G, Kluytmans J, Carmeli Y, Ouellette M, Outterson K, Patel J, Cavaleri M, Cox EM, Houchens CR, Grayson ML, Hansen P, Singh N, Theuretzbacher U, Magrini N, WHO Pathogens Priority List Working Group. 2018. Discovery, research, and development of new antibiotics: the WHO priority list of antibiotic-resistant bacteria and tuberculosis. Lancet Infect Dis 18:318–327. doi: 10.1016/S1473-3099(17)30753-3. [DOI] [PubMed] [Google Scholar]
  • 2.Papp-Wallace KM, Mack AR, Taracila MA, Bonomo RA. 2020. Resistance to novel β-lactam-β-lactamase inhibitor combinations. Infect Dis Clin North Am 34:773–819. doi: 10.1016/j.idc.2020.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.van Duin D, Bonomo RA. 2016. Ceftazidime/avibactam and ceftolozane/tazobactam: second-generation β-lactam/β-lactamase inhibitor combinations. Clin Infect Dis 63:234–241. doi: 10.1093/cid/ciw243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Karlowsky JA, Kazmierczak KM, Bouchillon SK, de Jonge B, Stone GG, Sahm DF. 2019. In vitro activity of ceftazidime-avibactam against clinical isolates of Enterobacteriaceae and Pseudomonas aeruginosa collected in Latin American countries: results from the Inform Global Surveillance Program, 2012 to 2015. Antimicrob Agents Chemother 63:e01814-18. doi: 10.1128/AAC.01814-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Karlowsky JA, Kazmierczak KM, Bouchillon SK, de Jonge B, Stone GG, Sahm DF. 2018. In vitro activity of ceftazidime-avibactam against clinical isolates of Enterobacteriaceae and Pseudomonas aeruginosa collected in Asia-Pacific countries: results from the Inform Global Surveillance Program, 2012 to 2015. Antimicrob Agents Chemother 62:e02569-17. doi: 10.1128/AAC.02569-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kazmierczak KM, de Jonge B, Stone GG, Sahm DF. 2018. In vitro activity of ceftazidime/avibactam against isolates of Pseudomonas aeruginosa collected in European countries: Inform Global Surveillance 2012-15. J Antimicrob Chemother 73:2777–2781. doi: 10.1093/jac/dky267. [DOI] [PubMed] [Google Scholar]
  • 7.Horcajada JP, Montero M, Oliver A, Sorlí L, Luque S, Gómez-Zorrilla S, Benito N, Grau S. 2019. Epidemiology and treatment of multidrug-resistant and extensively drug-resistant Pseudomonas aeruginosa infections. Clin Microbiol Rev 32:e00031-19. doi: 10.1128/CMR.00031-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Villegas MV, Lolans K, Correa A, Kattan JN, Lopez JA, Quinn JP, Colombian Nosocomial Resistance Study Group. 2007. First identification of Pseudomonas aeruginosa isolates producing a KPC-type carbapenem-hydrolyzing beta-lactamase. Antimicrob Agents Chemother 51:1553–1555. doi: 10.1128/AAC.01405-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Naas T, Cuzon G, Villegas MV, Lartigue MF, Quinn JP, Nordmann P. 2008. Genetic structures at the origin of acquisition of the beta-lactamase blaKPC gene. Antimicrob Agents Chemother 52:1257–1263. doi: 10.1128/AAC.01451-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Poirel L, Nordmann P, Lagrutta E, Cleary T, Munoz-Price LS. 2010. Emergence of KPC-producing Pseudomonas aeruginosa in the United States. Antimicrob Agents Chemother 54:3072. doi: 10.1128/AAC.00513-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Castanheira M, Mills JC, Farrell DJ, Jones RN. 2014. Mutation-driven β-lactam resistance mechanisms among contemporary ceftazidime-nonsusceptible Pseudomonas aeruginosa isolates from U.S. hospitals. Antimicrob Agents Chemother 58:6844–6850. doi: 10.1128/AAC.03681-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Hagemann JB, Pfennigwerth N, Gatermann SG, von Baum H, Essig A. 2018. KPC-2 carbapenemase-producing Pseudomonas aeruginosa reaching Germany. J Antimicrob Chemother 73:1812–1814. doi: 10.1093/jac/dky105. [DOI] [PubMed] [Google Scholar]
  • 13.Galetti R, Andrade LN, Varani AM, Darini ALC. 2019. A phage-like plasmid carrying blaKPC-2 gene in carbapenem-resistant Pseudomonas aeruginosa. Front Microbiol 10:572. doi: 10.3389/fmicb.2019.00572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Naas T, Bonnin RA, Cuzon G, Villegas MV, Nordmann P. 2013. Complete sequence of two KPC-harbouring plasmids from Pseudomonas aeruginosa. J Antimicrob Chemother 68:1757–1762. doi: 10.1093/jac/dkt094. [DOI] [PubMed] [Google Scholar]
  • 15.Shi L, Liang Q, Feng J, Zhan Z, Zhao Y, Yang W, Yang H, Chen Y, Huang M, Tong Y, Li X, Yin Z, Wang J, Zhou D. 2018. Coexistence of two novel resistance plasmids, blaKPC-2-carrying p14057a and tetA(A)-carrying p14057b, in Pseudomonas aeruginosa. Virulence 9:306–311. doi: 10.1080/21505594.2017.1372082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hu Y, Wang Q, Sun Q, Chen G, Zhang R. 2019. A novel plasmid carrying carbapenem-resistant gene blaKPC-2 in Pseudomonas aeruginosa. Infect Drug Resist 12:1285–1288. doi: 10.2147/IDR.S196390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Li Z, Cai Z, Cai Z, Zhang Y, Fu T, Jin Y, Cheng Z, Jin S, Wu W, Yang L, Bai F. 2020. Molecular genetic analysis of an XDR Pseudomonas aeruginosa ST664 clone carrying multiple conjugal plasmids. J Antimicrob Chemother 75:1443–1452. doi: 10.1093/jac/dkaa063. [DOI] [PubMed] [Google Scholar]
  • 18.Dai X, Zhou D, Xiong W, Feng J, Luo W, Luo G, Wang H, Sun F, Zhou X. 2016. The IncP-6 plasmid p10265-KPC from Pseudomonas aeruginosa carries a novel ΔISEc33-associated blaKPC-2 gene cluster. Front Microbiol 7:310. doi: 10.3389/fmicb.2016.00310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Tamma PD, Aitken SL, Bonomo RA, Mathers AJ, van Duin D, Clancy CJ. 2021. Infectious Diseases Society of America guidance on the treatment of extended-spectrum β-lactamase producing Enterobacterales (ESBL-E), carbapenem-resistant Enterobacterales (CRE), and Pseudomonas aeruginosa with difficult-to-treat resistance (DTR-P. aeruginosa). Clin Infect Dis 72:e169–e183. doi: 10.1093/cid/ciaa1478. [DOI] [PubMed] [Google Scholar]
  • 20.Partridge SR, Kwong SM, Firth N, Jensen SO. 2018. Mobile genetic elements associated with antimicrobial resistance. Clin Microbiol Rev 31:e00088-17. doi: 10.1128/CMR.00088-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Yin D, Wu S, Yang Y, Shi Q, Dong D, Zhu D, Hu F. 2019. Results from the China Antimicrobial Surveillance Network (CHINET) in 2017 of the in vitro activities of ceftazidime-avibactam and ceftolozane-tazobactam against clinical isolates of Enterobacteriaceae and Pseudomonas aeruginosa. Antimicrob Agents Chemother 63:e02431-18. doi: 10.1128/AAC.02431-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yang Y, Guo Y, Yin D, Zheng Y, Wu S, Zhu D, Hu F. 2021. In vitro activity of cefepime-zidebactam, ceftazidime-avibactam, and other comparators against clinical isolates of Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii: results from China Antimicrobial Surveillance Network (CHINET) in 2018. Antimicrob Agents Chemother 65:e01726-20. doi: 10.1128/AAC.01726-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Shen P, Wei Z, Jiang Y, Du X, Ji S, Yu Y, Li L. 2009. Novel genetic environment of the carbapenem-hydrolyzing beta-lactamase KPC-2 among Enterobacteriaceae in China. Antimicrob Agents Chemother 53:4333–4338. doi: 10.1128/AAC.00260-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Han R, Shi Q, Wu S, Yin D, Peng M, Dong D, Zheng Y, Guo Y, Zhang R, Hu F, China Antimicrobial Surveillance Network (CHINET) Study Group. 2020. Dissemination of carbapenemases (KPC, NDM, OXA-48, IMP, and VIM) among carbapenem-resistant Enterobacteriaceae isolated from adult and children patients in China. Front Cell Infect Microbiol 10:314. doi: 10.3389/fcimb.2020.00314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Zhao H, Wei L, Li H, Zhang M, Cao B, Bian J, Zhan S. 2021. Appropriateness of antibiotic prescriptions in ambulatory care in China: a nationwide descriptive database study. Lancet Infect Dis 21:847–857. doi: 10.1016/S1473-3099(20)30596-X. [DOI] [PubMed] [Google Scholar]
  • 26.San MA, Maclean RC. 2017. Fitness costs of plasmids: a limit to plasmid transmission. Microbiol Spectr 5:MTBP-0016-2017. doi: 10.1128/microbiolspec.MTBP-0016-2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Sun D, Rubio-Aparicio D, Nelson K, Dudley MN, Lomovskaya O. 2017. Meropenem-vaborbactam resistance selection, resistance prevention, and molecular mechanisms in mutants of KPC-producing Klebsiella pneumoniae. Antimicrob Agents Chemother 61:e01694-17. doi: 10.1128/AAC.01694-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Schechter LM, Creely DP, Garner CD, Shortridge D, Nguyen H, Chen L, Hanson BM, Sodergren E, Weinstock GM, Dunne WM, van Belkum A, Leopold SR. 2018. Extensive gene amplification as a mechanism for piperacillin-tazobactam resistance in Escherichia coli. mBio 9:e00583-18. doi: 10.1128/mBio.00583-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Coppi M, Di Pilato V, Monaco F, Giani T, Conaldi PG, Rossolini GM. 2020. Ceftazidime-avibactam resistance associated with increased blaKPC-3 gene copy number mediated by pKPQIL plasmid derivatives in sequence type 258 Klebsiella pneumoniae. Antimicrob Agents Chemother 64:e01816-19. doi: 10.1128/AAC.01816-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Wozniak A, Paillavil B, Legarraga P, Zumarán C, Prado S, García P. 2019. Evaluation of a rapid immunochromatographic test for detection of KPC in clinical isolates of Enterobacteriaceae and Pseudomonas species. Diagn Microbiol Infect Dis 95:131–133. doi: 10.1016/j.diagmicrobio.2019.05.009. [DOI] [PubMed] [Google Scholar]
  • 31.Lahiri SD, Walkup GK, Whiteaker JD, Palmer T, McCormack K, Tanudra MA, Nash TJ, Thresher J, Johnstone MR, Hajec L, Livchak S, McLaughlin RE, Alm RA. 2015. Selection and molecular characterization of ceftazidime/avibactam-resistant mutants in Pseudomonas aeruginosa strains containing derepressed AmpC. J Antimicrob Chemother 70:1650–1658. doi: 10.1093/jac/dkv004. [DOI] [PubMed] [Google Scholar]
  • 32.Chalhoub H, Sáenz Y, Nichols WW, Tulkens PM, Van Bambeke F. 2018. Loss of activity of ceftazidime-avibactam due to MexAB-OprM efflux and overproduction of AmpC cephalosporinase in Pseudomonas aeruginosa isolated from patients suffering from cystic fibrosis. Int J Antimicrob Agents 52:697–701. doi: 10.1016/j.ijantimicag.2018.07.027. [DOI] [PubMed] [Google Scholar]
  • 33.Torrens G, Cabot G, Ocampo-Sosa AA, Conejo MC, Zamorano L, Navarro F, Pascual Á, Martínez-Martínez L, Oliver A. 2016. Activity of ceftazidime-avibactam against clinical and isogenic laboratory Pseudomonas aeruginosa isolates expressing combinations of most relevant beta-lactam resistance mechanisms. Antimicrob Agents Chemother 60:6407–6410. doi: 10.1128/AAC.01282-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Winkler ML, Papp-Wallace KM, Hujer AM, Domitrovic TN, Hujer KM, Hurless KN, Tuohy M, Hall G, Bonomo RA. 2015. Unexpected challenges in treating multidrug-resistant Gram-negative bacteria: resistance to ceftazidime-avibactam in archived isolates of Pseudomonas aeruginosa. Antimicrob Agents Chemother 59:1020–1029. doi: 10.1128/AAC.04238-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Huang J, Hu X, Zhao Y, Shi Y, Ding H, Xv J, Ren J, Wu R, Zhao Z. 2020. Genetic factors associated with enhanced blaKPC expression in Tn3/Tn4401 chimeras. Antimicrob Agents Chemother 64:e01836-19. doi: 10.1128/AAC.01836-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Clinical and Laboratory Standards Institute. 2020. Performance standards for antimicrobial susceptibility testing. CLSI supplement M100, 30th ed. Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
  • 37.Seemann T. 2020. Shovill. https://github.com/tseemann/shovill.
  • 38.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. Spades: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Heng L. 2013. Aligning sequence reads, clone sequences and assembly contigs with bwa-mem. arXiv 1303.3997v2.
  • 40.Gomi R, Wyres KL, Holt KE. 2021. Detection of plasmid contigs in draft genome assemblies using customized Kraken databases. Microb Genom 7:000550. doi: 10.1099/mgen.0.000550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Wood DE, Lu J, Langmead B. 2019. Improved metagenomic analysis with Kraken 2. Genome Biol 20:257. doi: 10.1186/s13059-019-1891-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Wood DE, Salzberg SL. 2014. Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biol 15:R46. doi: 10.1186/gb-2014-15-3-r46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Marcais G, Delcher AL, Phillippy AM, Coston R, Salzberg SL, Zimin A. 2018. MUMmer4: a fast and versatile genome alignment system. PLoS Comput Biol 14:e1005944. doi: 10.1371/journal.pcbi.1005944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Fu L, Niu B, Zhu Z, Wu S, Li W. 2012. CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 28:3150–3152. doi: 10.1093/bioinformatics/bts565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Wick RR, Judd LM, Gorrie CL, Holt KE. 2017. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 13:e1005595. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Koren S, Walenz BP, Berlin K, Miller JR, Bergman NH, Phillippy AM. 2017. Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res 27:722–736. doi: 10.1101/gr.215087.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup. 2009. The sequence alignment/map format and SAMtools. Bioinformatics 25:2078–2079. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A. 2019. RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics 35:4453–4455. doi: 10.1093/bioinformatics/btz305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Yu G, Smith DK, Zhu H, Guan Y, Lam TT. 2017. Ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods Ecol Evol 8:28–36. doi: 10.1111/2041-210X.12628. [DOI] [Google Scholar]
  • 51.Chen W, Zhang Y, Zhang Y, Pi Y, Gu T, Song L, Wang Y, Ji Q. 2018. CRISPR/Cas9-based genome editing in Pseudomonas aeruginosa and cytidine deaminase-mediated base editing in Pseudomonas species. iScience 6:222–231. doi: 10.1016/j.isci.2018.07.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Xie S, Shen B, Zhang C, Huang X, Zhang Y. 2014. SgRNAcas9: a software package for designing CRISPR sgRNA and evaluating potential off-target cleavage sites. PLoS One 9:e100448. doi: 10.1371/journal.pone.0100448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Hao M, He Y, Zhang H, Liao X-P, Liu Y-H, Sun J, Du H, Kreiswirth BN, Chen L. 2020. CRISPR-Cas9-mediated carbapenemase gene and plasmid curing in carbapenem-resistant Enterobacteriaceae. Antimicrob Agents Chemother 64:e00843-20. doi: 10.1128/AAC.00843-20. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

TABLE S1

KPC-encoded P. aeruginosa replicons in the NCBI database. Download Table S1, DOCX file, 0.01 MB (13.8KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

TABLE S2

Antimicrobial susceptibility and antimicrobial resistance genes. Download Table S2, XLSX file, 0.1 MB (116.3KB, xlsx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

TABLE S3

Statistical analysis of metadata. Download Table S3, DOCX file, 0.02 MB (23.6KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

TABLE S4

Primers used in this study. Download Table S4, DOCX file, 0.01 MB (14.8KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

TABLE S5

GenBank accession numbers of 233 chromosomes and 97 plasmids to construct a customized Kraken2 library. Download Table S5, DOCX file, 0.01 MB (15.9KB, docx) .

Copyright © 2021 Zhu et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

Reviewer comments
reviewer-comments.pdf (1.1MB, pdf)

Data Availability Statement

All the sequence data were deposited in the DDBJ/ENA/GenBank database under BioProject accession number PRJNA672835. The genome sequences of strains NDTH10366 and NDTH9845 have been submitted to GenBank under the following accession numbers: CP064401 (NDTH10366 chromosome), CP064402 (NDTH10366 plasmid), CP073080 (NDTH9845 chromosome), and CP073081 (NDTH9845 plasmid).

Articles from mSystems are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES