Acquisition of resistance to carbapenem and macrolide-mediated quorum sensing inhibition by Pseudomonas aeruginosa via ICETn43716385


Pseudomonas aeruginosa can cause life-threatening infections in immunocompromised patients. The first-line agents to treat P. aeruginosa infections are carbapenems. However, the emergence of carbapenem-resistant P. aeruginosa strains greatly compromised the effectiveness of carbapenem treatment, which makes the surveillance on their spreading and transmission important. Here we characterized the full-length genomes of two carbapenem-resistant P. aeruginosa clinical isolates that are capable of producing New Delhi metallo-β-lactamase-1 (NDM-1). We show that blaNDM-1 is carried by a novel integrative and conjugative element (ICE) ICETn43716385, which also carries the macrolide resistance gene msr(E) and the florfenicol resistance gene floR. By exogenously expressing msr(E) in P. aeruginosa laboratory strains, we show that Msr(E) can abolish azithromycin-mediated quorum sensing inhibition in vitro and anti-Pseudomonas effect in vivo. We conclude that ICEs are important in transmitting carbapenem resistance, and that anti-virulence treatment of P. aeruginosa infections using sub-inhibitory concentrations of macrolides can be challenged by horizontal gene transfer.


Pseudomonas aeruginosa is an opportunistic pathogen which can cause life-threatening infections in immunocompromised patients1. It is also responsible for chronic wound infections, ventilator-associated pneumonia and chronic airway infections in cystic fibrosis and chronic obstructive pulmonary disease patients2,3,4,5,6. These infections are usually very difficult to eradicate and associated with high mortality rates3,7.

Carbapenems such as imipenem and meropenem are the first-line agents for treating P. aeruginosa infections and the last-resort drugs for severe infections caused by other susceptible Gram-negative pathogens8. However, the clinical efficacy of carbapenems has been greatly compromised by the spreading of the carbapenemase New Delhi metallo-β-lactamase-1 (NDM-1), which is usually encoded and transmitted by broad-host self-conjugative plasmids in Enterobacteriaceae spp. and Acinetobacter baumannii9. It was later reported that blaNDM-1 was identified in P. aeruginosa isolated from North America, Europe and Asia, suggesting their prevalence worldwide10,11,12,13,14,15,16. The NDM-1-producing P. aeruginosa strains usually have high resistance to carbapenems, as well as multidrug resistance to other antibiotics, which leaves only a handful of antibiotics effective to treat their infections in clinical practice10,11,12,13,14,15,16. Therefore, it is important to develop novel treatment strategies for P. aeruginosa infections.

One strategy to treat P. aeruginosa infections is by inhibiting the production of virulence factors, which are essential for its pathogenesis. For instance, the type III secretion system and the secreted products such as elastase and exotoxin A were shown to play important roles during the colonization of P. aeruginosa in human airways17,18. The secreted detergent rhamnolipid causes rapid necrosis of the host immune cells and protects bacterial cells from immune attack to facilitate the establishment of infections19. In P. aeruginosa, the expression of many virulence factors is under tight control of its quorum sensing systems, which can be potential targets for the design of anti-virulence drugs20,21. Although several anti-quorum sensing compounds have been identified in the past, none of them has so far entered clinical trial21,22,23. On the other hand, the macrolide antibiotics such as erythromycin, azithromycin (AZM) and clarithromycin were shown to have a promising anti-quorum sensing activity, which makes them ideal anti-virulence drugs for treating P. aeruginosa infections21. It was reported that macrolides can repress the synthesis of quorum sensing signaling molecules by interfering with the signaling pathways of RsmZ and RsmY through yet-to-be identified targets, thereby inhibiting the production of quorum sensing-regulated virulence products such as rhamnolipids and elastase in P. aeruginosa24. The use of macrolides as quorum sensing inhibitors has expanded our antimicrobial arsenal against P. aeruginosa infections until new and more efficient anti-virulence drugs become clinically available.

Although NDM-1-producing P. aeruginosa strains have been reported worldwide10,11,12,13,14,15,16, their complete genome information is still lacking. In this study, we sequenced the complete genomes of two NDM-producing P. aeruginosa strains. Comparative genomic analysis showed that blaNDM-1 is carried by a novel Tn4371 family integrative and conjugative element (ICE), which is a class of mobile genetic element present in genomes of a broad range of β- and γ-proteobacteria25. In addition to blaNDM-1, this element also carries the macrolide resistance gene msr(E) and the florfenicol resistance gene floR. We show that the expression of msr(E) in P. aeruginosa can abolish AZM-mediated quorum sensing inhibition in vitro and anti-Pseudomonas effect of AZM in vivo.


Identification of a novel NDM-1-producing PASGNDM group

Eleven multidrug-resistant P. aeruginosa strains were previously isolated from patients in a hospital in Singapore. These strains are resistant to carbapenems, cephalosporins, aminoglycosides and fluoroquinolones, whereas they remained sensitive to polymyxin B (Supplementary Table 1). To characterize the resistance mechanisms and the epidemiological link among these isolates, we sequenced their draft genomes on an Illumina MiSeq platform. We found that the 11 genomes are highly similar to each other as shown by multiple genome alignment (Supplementary Fig. 1) and carried the same sets of antibiotic resistance genes, suggesting that the 11 NDM-1-producing P. aeruginosa strains isolated in this outbreak belong to the same phylogenetic group. We therefore named this closely related P. aeruginosa group PASGNDM.

To better understand the detailed features of the PASGNDM genomes and the transmission of blaNDM-1, we further sequenced PASGNDM345 and PASGNDM699 genomes on a Pacific Biosciences RS II platform. The PacBio sequencing reads achieved 163- and 161-fold coverages for PASGNDM345 and PASGNDM699 genomes respectively and were successfully assembled into two full-length genomes. Construction of phylogenetic tree with PASGNDM345 and PASGNDM699 genomes and other 21 P. aeruginosa full-length genomes showed that the two PASGNDM strains formed a monophyletic group (Fig. 1). The closest genome to the PASGNDM group in the phylogenetic tree is PA_D1 (NZ_CP012585), which belongs to a group of P. aeruginosa strains isolated from ventilator-associated pneumonia patients in China6.

Fig. 1

Phylogenetic tree of PASGNDM345 and PASGNDM699 with 21 P. aeruginosa genomes. PASGNDM345 and PASGNDM699 genomes (indicated with *) were compared with 21 other P. aeruginosa genomes. Phylogenetic tree was constructed based on detected variant sites of core-genome alignment using the approximate maximum likelihood algorithm, with clade confidence estimated with SH-like support values. The scale bar shows substitutions per core-genome site. Accession numbers of genomes used to construct the phylogenetic tree are listed in Supplementary Table 2

Characterizations of PASGNDM345 and PASGNDM699 genomes

The genome of PASGNDM345 consists of a circular chromosome of 6,893,164 bp with an average GC content of 66.1%, whereas the PASGNDM699 genome is 6,985,102 bp with an average GC content of 66.0%. In total, 6503 and 6589 genes were predicted from PASGNDM345 and PASGNDM699 genomes, respectively. It was also noted that PASGNDM699 harbored several genomic islands that are not present in PASGNDM345 or the draft genomes of the other 9 PASGNDM strains (Fig. 2, Supplementary Fig. 1, and Supplementary Data 1).

Fig. 2

Sequence conservation among PASGNDM699, PASGNDM345 and six other P. aeruginosa genomes. From the innermost to outermost: circle 1, PASGNDM699; circle 2, PASGNDM345; circle 3, PA_D1; circle 4, PA14; circle 5, NCGM2.S1; circle 6, MTB-1; circle 7, B136-33; circle 8, VRFPA04. circle 9, Genomic islands present in PASGNDM699 and PASGNDM345. Blocks in black indicate genomic islands present in both PASGNDM699 and PASGNDM345, whereas blocks in gray indicate genomic islands only present in PASGNDM699. Circle 10, predicted antibiotic resistance genes present in PASGNDM699 and PASGNDM345 genomes: black: intrinsic antibiotic resistance genes in P. aeruginosa genomes; blue: acquired antibiotic resistance genes. Accession numbers of the genomes are listed in Supplementary Table 2, and the detailed information on the predicted genomic islands is listed in Supplementary Data 1 and 2

To identify the strain-specific regions in the PASGNDM genomes, the complete genomes of PASGNDM699 and PASGNDM345 were compared with the six genomes clustered in the same clade in the phylogenetic tree (Fig. 1). Genome alignment result showed that the two PASGNDM genomes possess several regions with low sequence identity to the other six genomes (Fig. 2). In addition, we also predicted the genomic islands in the two PASGNDM genomes by using the Island Viewer 3 server26. A total of 41 and 47 genomic islands were predicted from the PASGNDM345 and PASGNDM699 genomes, respectively, which correlate well with the strain-specific regions (Fig. 2, and Supplementary Data 1 and 2). Most of the genes located in the genomic islands encode transposons, efflux pumps and multidrug resistance determinants (Supplementary Data 1 and 2), which may be important for the survival and nosocomial spread of the PASGNDM strains. In addition, all the nine acquired antibiotic resistance genes including blaNDM-1 are embedded in the genomic islands of PASGNDM699 and PASGNDM345 genomes (Fig. 2), suggesting the importance of mobile genetic elements in the acquisition of antibiotic resistance by the PASGNDM isolates. These acquired antibiotic resistance genes are related to resistance to aminoglycosides (strA, strB and aac(3)-Id), quinolone (qnrVC1), sulfoxides (sul2), trimethoprim (dfrB5), β-lactams (blaNDM-1), florfenicol (floR) and macrolides (msr(E)) (Fig. 2). The presence of the acquired antibiotic resistance genes can largely explain the multidrug resistance of the PASGNDM strains (Supplementary Table 1).

Identification of a novel ICETn4371 6385

It was noted that blaNDM-1 is clustered together with msr(E) and floR in the same genomic island (Fig. 2), suggesting that the three antibiotic resistance genes might be co-transferred into the PASGNDM genomes. Further sequence analysis revealed that the three genes are embedded in a 74.2 kb ICE-like element located between the exoY (PA2191) and hcnA (PA2193) genes in the PASGNDM699 and PASGNDM345 genomes (Fig. 3). Both ends of this element are flanked by a 5′-TTTTTTGT-3′ sequence, which resembles the conserved attB site of almost all Tn4371 family ICEs25. It also contains the core genes conserved among the Tn4371 family ICEs, including an int integrase gene, the parB, repA and parA genes of the ICE stabilization system, and homologs to the DNA conjugative transfer machineries such as traI and traG (Fig. 3)25. In addition, the integrase encoded by the int gene shared 71% identity with IntTn4371 (AJ536756), which further proved that the ICE identified here should be a member of the Tn4371 family ICEs as suggested by Ryan et al.25. We therefore named this element ICETn43716385 following the nomenclature system proposed by Roberts et al.27.

Fig. 3

Comparison between ICETn43716385 and the Tn4371-like element in P. fluorescens UK4 genome. The 74 genes encoded by ICETn43716385 are shown in arrows with different colors to annotate their functional classes. The length of each arrow is to the scale of the gene size, whereas the arrow direction indicates the transcriptional direction of the gene. The 13.7 kb fragment containing three antibiotic resistance genes are between two direct repeats (indicated by thin blue arrows) in ICETn43716385. The shades between the two elements indicate the sequence identity between the linked regions

We searched the ICETn43716385 sequence in GenBank and found that it showed similarity to a 56.4 kb ICE-like element present in Pseudomonas fluorescens UK4 genome (CP008896). Comparative sequence analysis showed that they share a common Tn4371 ICE core gene scaffold25, whereas their major differences are the unique accessory gene cluster following the int gene, and a 13.7 kb fragment carrying the three antibiotic resistance genes in ICETn43716385 (Fig. 3). This 13.7 kb fragment is immediately flanked by 695 bp direct repeats, which share 99.87% identity (694/695) (Fig. 3). Interestingly, this direct repeat sequence was also present in the ICE-like element in the P. fluorescens UK4 genome (Fig. 3), whereas it showed no similarity to the existing insertion sequence elements as shown by ISfinder28. It is possible that the direct repeat sequences in ICETn43716385 were the result of homologous recombination between the ancestor of ICETn43716385 and a multidrug resistance plasmid, which lead to the acquisition of the 13.7 kb fragment by ICETn43716385.

We therefore present here a novel ICETn43716385 element identified in the PASGNDM genomes. ICETn43716385 carries three antibiotic resistance genes, which are blaNDM-1, msr(E) and floR. To investigate whether blaNDM-1 is functional in P. aeruginosa, we cloned blaNDM-1 with its promoter sequence into a pME6031 vector to construct a pME6031-NDM plasmid. Transformation of pME6031-NDM into PAO1 and PA14 increases their meropenem minimal inhibitory concentration (MIC) from 1 μg/mL and 0.25 μg/mL to > 64 μg/mL, suggesting that acquisition of blaNDM-1 by the PASGNDM strains causes their extreme resistance to carbapenems (Supplementary Table 1). Of note, the ICETn43716385 sequence is also present in the 9 PASGNDM draft genomes as shown in multiple genome alignment (Supplementary Fig. 1). It was also noted that ICETn43716385 has partial homologous sequences in the other genomes (Fig. 2). Further sequence comparison revealed that Tn4371-like elements are also present in PA14, MTB-1 and NCGM2.S1 genomes (Supplementary Fig. 2), whereas none of these elements carry any antibiotic resistance genes.

Msr(E) relieves AZM-mediated quorum sensing inhibition in P. aeruginosa

Previous studies reported that sub-MIC concentrations of AZM could suppress the expression of several quorum sensing-regulated virulence factors such as elastase and rhamnolipids and the swarming motility of P. aeruginosa, probably by inhibiting its quorum sensing systems24,29,30. We therefore hypothesized that acquisition of msr(E) by P. aeruginosa could counteract the quorum sensing inhibition effect of AZM. However, to investigate the functions of msr(E) in the PASGNDM strains by gene deletion is difficult due to their multidrug resistance; hence, an alternative approach by exogenously expressing msr(E) in laboratory strains of P. aeruginosa was adopted for this purpose. We amplified the msr(E) gene together with its putative promoter region from PASGNDM699 genome and inserted the entire fragment into a pUCP18 vector to construct a pUCP18::msr(E) plasmid, in which the expression of msr(E) is solely controlled by its promoter. Transformation of pUCP18::msr(E) into P. aeruginosa strains PAO1 and PA14 increased their resistance to AZM by more than 8-fold (from 256 μg/mL to >2048 μg/mL), indicating that msr(E) can be expressed from its own promoter and is functional in P. aeruginosa.

We then performed elastase production, rhamnolipid quantification and swarming motility assays with PAO1/pUCP18::msr(E) and PA14/pUCP18::msr(E) strains. The results showed that 8 μg/mL of AZM (1/32 of the AZM MIC of PAO1) reduced elastase production in both wildtype PAO1 and vector-carrying strain PAO1/pUCP18 by at least 40%, whereas the elastase produced by PAO1/pUCP18::msr(E) was not significantly affected upon AZM treatment (Fig. 4a). We also found that 8 μg/mL of AZM reduced rhamnolipid production in both PAO1 and PAO1/pUCP18 by at least 60%, whereas PAO1/pUCP18::msr(E) produced similar levels of rhamnolipids in the presence and absence of AZM (Fig. 4c). In addition, the swarming motilities of PAO1 and PAO1/pUCP18 were inhibited by 4 μg/mL of AZM, under which PAO1/pUCP18::msr(E) exhibited a normal swarming phenotype (Fig. 5). Similar results were also obtained in the PA14 strains (Figs. 4b, d and 5), suggesting that the resistance to AZM-mediated quorum sensing inhibition by Msr(E) is not strain specific. Taken together, these results clearly showed that the acquisition of msr(E) could protect P. aeruginosa from AZM-mediated quorum sensing inhibition.

Fig. 4

The effect of Msr(E) expression on elastase and rhamnolipid production by PAO1 and PA14 under 8 μg/mL of azithromycin (AZM). Elastase production was inhibited in wildtype and vector-carrying strains of PAO1 (a) and PA14 (b) under 8 μg/mL AZM, whereas no inhibition was observed in PAO1/pUCP18::msr(E) or PA14/pUCP18::msr(E) that express Msr(E). Similarly, rhamnolipid production was inhibited in wildtype and vector-carrying strains of PAO1 (c) and PA14 (d) under 8 μg/mL AZM, whereas no inhibition was observed in PAO1/pUCP18::msr(E) or PA14/pUCP18::msr(E). The figure shows relative fluorescence units (RFU) or optical density at 421nm (OD421) of the bacterial culture supernatant normalised to optical density at 600 nm (OD600) of the bacterial culture. The measurements are taken from distinct samples and mean ± standard deviation is shown in the bar charts, with individual measurement for each sample represented by orange circles. Two-tailed Student’s t-test was performed for all the control and treatment groups; n = 3 for elastase production assay (a, b) and n = 5 for rhamnolipid quantification assay (c, d). (**P < 0.01, ****P < 0.0001, ns P > 0.05)

Fig. 5

Effect of Msr(E) expression on the swarming motilities of PAO1 and PA14 under 4 μg/mL of azithromycin (AZM). The swarming motility of wildtype and vector-carrying strains of PAO1 and PA14 were inhibited by the addition of 4 μg/mL of AZM, whereas the exogenous expression of Msr(E) in both strains restored the AZM-mediated inhibition on swarming motilities. AZM did not inhibit the swarming motility of PASGNDM699 which harbors msr(E). Figure shows the composite of multiple images

Msr(E) restores AZM-affected P. aeruginosa transcriptome

AZM was previously reported to affect the transcriptome of P. aeruginosa using microarray analysis30. To better show the effect of Msr(E) on the AZM-affected transcriptome of P. aeruginosa, we compared the gene expression profiles of PAO1/pUCP18::msr(E) in the presence and absence of 8 μg/mL AZM by total RNA sequencing. In PAO1, a total of 550 genes (~10% of PAO1 genome) were differentially expressed upon AZM treatment, of which 305 were upregulated and 245 were downregulated by more than 4-fold (Supplementary Data 3, and Fig. 6). We found that the upregulated genes are enriched in genes encoding ribosomal proteins, the type III secretion pathway apparatus and other defense mechanisms against AZM (infA and efp), whereas the downregulated genes include rsmY and rsmZ, the non-coding RNA products of which positively regulate quorum sensing by sequestering the translational inhibitor RsmA, pslE-I of the Psl synthesis operon, lasI of the LasI/LasR quorum sensing system, and the flgK gene the expression of which is essential for swarming motility31 (Supplementary Data 3). These results are consistent with findings in previous studies21,24,29,30,32 and can explain the quorum sensing inhibition effect of AZM on PAO1 (Figs. 4 and 5). Surprisingly, the transcriptome of PAO1/pUCP18::msr(E) was almost not affected by AZM, for which only 6 genes were differentially expressed upon AZM treatment by more than 4-fold (Supplementary Data 4). These results showed that Msr(E) can protect P. aeruginosa from AZM-mediated quorum sensing inhibition by restoring the AZM-affected transcriptome.

Fig. 6

Heatmap of 550 genes that are differentially expressed between the azithromycin (AZM)-treated and non-treated PAO1, and their behaviors in the AZM-treated and non-treated PAO1/pUCP18::msr(E). The differentially expressed genes (fold change >4, P value < 0.05) between the AZM-treated and non-treated PAO1 cells were identified by performing a negative binomial test using the DESeq 2 package of R/Bioconductor (n = 3). Such changes in the gene expression profiles were not observed between PAO1/pUCP18::msr(E)-treated and non-treated with AZM. The complete lists of differentially expressed genes between AZM-treated and non-treated PAO1 and between AZM-treated and non-treated PAO1/pUCP18::msr(E) can be found in Supplementary Data 3 and 4

Msr(E) abolished anti-Pseudomonas effect of AZM in vivo

Macrolide antibiotics such as erythromycin and clarithromycin were previously shown to enhance the clearance of P. aeruginosa at the infection sites in a murine implant infection model and a murine lung infection model33,34. To investigate if the expression of msr(E) in P. aeruginosa can affect the anti-Pseudomonas activity of AZM in vivo, we used the murine implant model to compare the effect of AZM treatment on PAO1 and PAO1/pUCP18::msr(E) infections. Briefly, silicone implants pre-colonized with PAO1 or PAO1/pUCP18::msr(E) were inserted into the peritoneal cavity of mouse. After 12 h of incubation, mice were treated with AZM by injecting AZM solution into the peritoneal cavity, whereas the control mice were injected with the same amount of saline. The silicone implants and mice spleens were harvested at 24 h post infection to enumerate colony-forming units (CFUs) of P. aeruginosa, which were used to indicate the clearance of bacteria at infection site and the spreading of infection to other organs according to previous studies34,35. We found that AZM treatment could reduce the CFUs of PAO1 residing on the silicone implants and in the mice spleens by 2.0-log and 3.8-log, respectively (Fig. 7). By contrast, AZM treatment did not significantly affect the CFU of PAO1/pUCP18::msr(E) recovered from either the silicone implants or the mice spleens (Fig. 7). These results indicated that Msr(E) could confer resistance against the anti-Pseudomonas activity of AZM in vivo on P. aeruginosa.

Fig. 7

The effect of azithromycin (AZM) treatment on PAO1 and PAO1/pUCP18::msr(E) in an in vivo murine infection model. The silicone implants pre-incubated with PAO1 and PAO1/pUCP18::msr(E) were inserted into the peritoneal cavity of mice by surgery. AZM treatment at 10 mg per mouse significantly reduced the PAO1 CFU recovered from the silicone implants by 2.0-log (a) and the PAO1 CFU recovered from the mouse spleens by 3.8-log (b), whereas such reduction was not observed in PAO1/pUCP18::msr(E) recovered either from the silicone implants (a) or the mice spleens (b). Results are shown as log CFU per silicone implant and log CFU per mouse spleen, respectively (n = 6; **P < 0.01; ns P > 0.05; Mann–Whitney test, two-sided)


Tn4371 family ICEs have been previously described in a broad range of β- and γ-proteobacteria isolated from both environmental and clinical settings and confer their host adaptive functions such as multidrug and heavy metal resistance, as well as the ability to metabolize specific carbon sources25. In addition, a Tn4371-like element from P. aeruginosa genomes has recently been characterized to carry blaSPM-1 and bcr1, suggesting that the Tn4371 family ICE is an important source of carbapenem resistance in P. aeruginosa36. In the current work, we identified a novel ICETn43716385 from PASGNDM genomes isolated from clinical sources. This element carries three antibiotic resistance genes including blaNDM-1, msr(E) and floR, and retains the machinery for conjugative transfer (Fig. 3), suggesting that it is responsible for the transmission of these resistance genes into the PASGNDM genomes25,37. However, the conjugative transfer of ICETn43716385 was not observed in mating experiments between PASGNDM699 and PAO1 or PA14 strains on agar plates (Methods). It is possible that the conjugation has extremely low efficiencies that is below our detection limit or requires specific inductive conditions37,38. To the best of our knowledge, this is the first description of blaNDM-1 to be carried by ICEs.

The macrolide resistance gene msr(E) were mainly identified from Gram-negative bacteria such as Enterobacteriaceae spp., Pasteurella multocida and A. baumannii39,40,41, but has not been described in P. aeruginosa before. Hence, the transmission of msr(E) by ICETn43716385 into the PASGNDM genomes led us to investigate its functional roles in P. aeruginosa. Our in vitro assays clearly showed that the exogenous expression of msr(E) in P. aeruginosa abolishes the quorum sensing inhibition activity of AZM in vitro, which in turn rescued the inhibition of elastase production, rhamnolipid production and swarming motility by sub-MIC levels of AZM (Figs. 4 and 5). In addition, the acquisition of msr(E) by PAO1 almost completely restored the AZM-affected transcriptome and abolished the anti-Pseudomonas activity of AZM in a murine infection model (Figs. 6 and 7, Supplementary Data 3 and 4). These results demonstrate that Msr(E) could confer P. aeruginosa with resistance to AZM-mediated quorum sensing inhibition, which is an important treatment strategy for P. aeruginosa infections42. The transmission of msr(E) into this organism will greatly challenge the use of AZM in treating infections caused by P. aeruginosa.

While we showed that Msr(E) can abolish the quorum sensing inhibition effect of AZM, the mechanism behind remains elusive. The 491-amino acid protein Msr(E) is a member of the ABC-F subfamily of adenosine triphosphate (ATP)-binding cassette proteins, which are characterized by two ATP-binding cassette domains connected by an ~80 amino acid linker sequence43,44. It was shown that members of the ABC-F proteins can displace antibiotics from ribosomes in vitro, which rescued translation from antibiotic-mediated inhibition44. In addition, ribosomal protection was shown to be sufficient to prevent AZM-mediated quorum sensing inhibition in P. aeruginosa in a previous study45. We therefore propose that Msr(E) can inhibit the binding of AZM with ribosomes, thereby indirectly restoring AZM-mediated quorum sensing inhibition. We are currently investigating on the mechanisms of Msr(E)-mediated macrolide resistance through structural biology approaches.

The third antibiotic resistance gene carried by ICETn43716385 is floR, which encodes an efflux pump and is the determinant for florfenicol resistance46. This gene was first identified in Salmonella typhimurium DT104 in 1999 and has ever since been detected in Escherichia coli and P. multocida isolated from livestock and aquaculture settings47,48,49,50. It is possible that the emergence and spreading of floR is due to the selection by florfenicol, since this antibiotic has been extensively used in veterinary medicine, especially in aquaculture settings49,51. Therefore, the carriage of floR by ICETn43716385 may associate with survival advantages under environmental conditions where florfenicol may be present51,52, and hence facilitate the transmission and dissemination of blaNDM-1 and msr(E).

In conclusion, we characterized the full-length genomes of two NDM-1-producing P. aeruginosa clinical isolates, from which we identified a novel ICETn43716385 element encoding three antibiotic resistance genes. Among them, the blaNDM-1 gene is responsible for extreme resistance to carbapenems, whereas msr(E) can restore AZM-mediated quorum sensing inhibition, and floR may enhance the survival of host bacteria under florfenicol exposure. To our knowledge, we present the first description of blaNDM-1 to be carried by ICEs, and the first evidence that Msr(E) confers resistance to macrolide-mediated quorum sensing inhibition on P. aeruginosa. Our findings highlight the importance of ICEs in transmitting antibiotic resistance, and that anti-virulence treatment of P. aeruginosa infections by targeting quorum sensing through sub-inhibitory concentrations of macrolide antibiotics can be challenged by horizontal gene transfer.


Bacterial strains and plasmids

All the strains were routinely grown in Lysogeny broth (LB) or on LB plates with 1.5% agar at 37 °C. The msr(E) gene with its putative promoter were amplified from PASGNDM699 genome using primers 5′-ACCGGCCAAGATAGTTGACG-3′ and 5′-AGGAAGTTCAACCGCCCTTT-3′ and ligated into the smaI site of pUCP1853 to construct a pUCP18::msr(E) plasmid, in which msr(E) is upstream to the lac promoter of pUCP18. Similarly, blaNDM-1 and the 120 bp upstream sequence containing the promoter54 was amplified using primers 5'-ATCTATCGATGCATGCCATGCTGTCGCACCTCATGTTT-3' and 5'- ATGACGTCGACGCGTCTGCAAGCCCAGCTTCGCATAA-3'. The PCR product was ligated in between NcoI and PstI sites of a pME6031 vector55 to construct a pME6031-NDM plasmid, in which the expression of blaNDM-1 is solely controlled by its own promoter. Plasmids were transformed into PAO1 and PA14 by electroporation, and the transformants were selected and grown in LB supplemented with appropriate antibiotics.

Sequencing and annotation

Genomic DNA was purified using Blood and Cell Culture DNA Midi Kit (Qiagen) and sequenced on an Illumina MiSeq platform or a PacBio RS II system. The full-length genomes of PASGNDM345 and PASGNDM699 were assembled from long reads obtained from the PacBio RS II system using HGAP2 pipeline assisted with manual curation to resolve repetitive region in the assembly. The ICETn43716385 sequence and ICE-like element from P. fluorescens UK4 were uploaded to the Rapid Annotations using Subsystem Technology (RAST) server56 for gene prediction and annotation, assisted with manual BLASTp search. Comparison of the two sequences was done by BLASTn search using EasyFig v2.2.257.

Phylogenetic and comparative genomic analysis

Core-genome alignment of the P. aeruginosa genomes was performed using Parsnp v1.1.258. The phylogenetic inference was carried out on the variant sites using approximate maximum likelihood algorithm by using FastTree 2 integrated in Parsnp59, with clade confidence estimated with SH-like supporting values. The branch length in the phylogenetic tree represent substitutions per core-genome site. Genomic islands of PASGNDM699 and PASGNDM345 were predicted by the IslandViewer 3 server60, and antibiotic resistance genes were predicted using the ResFinder 2.1 server61. Comparison of PASGNDM699 and PASGNDM345 genomes with six other full-length P. aeruginosa genomes was done by BLASTn search using BLAST Ring Image Generator v0.9562, with genomic islands and antibiotic resistance genes labeled in their respective locations. Multiple sequence alignment analysis was performed by using ProgressiveMauve integrated in Mauve v2.463.

Elastase and rhamnolipid quantification

Bacterial strains were grown in ABT minimal medium64 supplemented with 5 g/L glucose and 2 g/L casamino acids (ABTGC), with or without addition of 8 μg/mL AZM (Spectrum). The supernatants of overnight culture were filter sterilized before quantification of elastase and rhamnolipid production. Elastase activity was measured using EnzCheck Elastase Assay Kit (Thermo Fisher Scientific) according to the manufacturer’s instructions. The quantification of rhamnolipid was performed as previously described65 with modifications. Briefly, rhamnolipid was extracted from 1 mL of filtered supernatants with 2 mL of diethyl ether. Then, 1 mL of the diethyl ether extract was collected, vacuum dried and re-dissolved in 50 μL of deionized water. The solution was added with 450 μL of 0.19% (w/v) orcinol dissolved in 53% H2SO4, followed by heating at 80 °C for 30 min. The elastase activity and rhamnolipid production were quantified by measuring emission at 530 nm upon excitation at 485 nm and absorbance at 421 nm by using an Infinite 200 PRO system (Tecan), respectively. The results were normalized with optical density at 600 nm (OD600) of the bacterial culture. Both elastase and rhamnolipid quantification assays were successfully replicated for at least three times, with measurements from distinct samples shown in the figure.

Swarming motility assay

The swarming motility of each strain was measured on 0.5% agar plates containing 8 g/L nutrient broth (Oxoid) and 5 g/L glucose66. Then, 1 μL of bacterial overnight culture (adjusted to OD600 = 1) was inoculated onto the center of the plate, followed by incubation at 37 °C for 12 h. The images were taken using a Gel Doc XR+ System (Bio-Rad). This experiment was successfully replicated for three times.

Transcriptomic analysis

Strains were grown in ABTGC medium at 37 °C with 200 rpm shaking. Cells were harvested at mid-log phase (OD600 = 0.6), and the total RNA was extracted using RNeasy Mini Kit (Qiagen). RNA sequencing was performed on an Illumina HiSeq 2500 platform to generate paired-end reads of 100 nt, which were trimmed and mapped to PAO1 genome (NC_002516.2) by using CLC Genomics Workbench 9.0 (Qiagen). The transcript count table was analyzed by DESeq 2 package of the R/Bioconductor by performing negative binomial test67. Hierarchical clustering analysis was performed to produce the heatmap for the differentially expressed genes with statistical significance (fold change>4, P < 0.05) using heatmap.2 package of the R/Bioconductor68.

Animal model

A murine silicone implant model was used to evaluate effects of in vivo AZM treatment on the two strains as previously described with modifications35. Briefly, bacterial cells were re-suspended in 0.9% NaCl to an OD600 of 0.01. Bacteria cells were allowed to attach onto sterilized silicone tubes (length, 3 mm; inner diameter, 4 mm; outer diameter, 6 mm; Ole Dich) by incubation at 37 °C, with 110 rpm shaking for 18 h, after which the silicone tubes coated with bacteria were implanted into mouse peritoneal cavity by surgery. Treatment with AZM (10 mg per mouse, dissolved in 0.2 mL of 0.9% saline) or saline was performed by injection into the mouse peritoneal cavity 12 h after surgery. Mice were killed 24 h after surgery. Bacterial cells residing on the silicone tube and in the mouse spleen were suspended into 0.9% NaCl solution by sonication using an Elmasonic P120H (Elma, Germany; power = 50% and frequency = 37 KHz) and homogenization using a Bio-Gen PRO200 Homogenizer (Pro Scientific), respectively. CFU was quantified by serial dilution and plating on LB agar plates, and the results were shown in log CFU.

Mating experiment

The mating experiment between PASGNDM699 and both PAO1 and PA14 was performed to investigate if ICETn43716385 can transfer into other P. aeruginosa strains by conjugation. The recipient strains PAO1 and PA14 were transformed with pME6031 vector by electroporation to confer tetracycline resistance for selection. The donor and recipient strains were mixed in a 1:1 ratio and spotted onto a sterilized filter paper placed on agar plates. Conjugation experiments were performed on both rich medium (LB) and minimal medium (ABTG), and at both 25 °C and 37 °C. Transconjugants were selected on LB agar plates containing tetracycline (60 μg/mL) and meropenem (5 μg/mL).


The use of clinical specimen samples was approved by Department of Laboratory Medicine, National University Hospital, Singapore, registered under the reference 2016/00856. The animal model protocols were approved by the Institutional Animal Care and Use Committee of the Nanyang Technological University, under the permit number A-0191 AZ. Animal experiments were performed in accordance to the NACLAR (National Advisory Committee for Laboratory Animal Research) Guidelines of Animal and Birds (Care and Use of Animals for Scientific Purposes) Rules by Agri-Food & Authority of Singapore (AVA).


All experiments were performed in at least three biologically independent replicates, with numbers of replicates indicated with “n” in figure legends. The statistical significance test method used for each experiment is also indicated in respective figure legend.

Data availability

The draft and complete genome sequences have been deposited in GenBank ( under BioProject PRJNA381838. The complete genomes of PASGNDM699 and PASGNDM345 are CP020704 and CP020703, respectively. The genome sequencing and RNA-Seq raw reads are deposited in the NCBI Short Read Archive database ( with the accession codes SRP103165 and SRP103155, respectively. All other relevant data are available from the authors upon reasonable request.


  1. 1.

    Bodey, G. P., Bolivar, R., Fainstein, V. & Jadeja, L. Infections caused by Pseudomonas aeruginosa. Rev. Infect. Dis. 5, 279–313 (1983).

    Article  PubMed  CAS  Google Scholar 

  2. 2.

    Fazli, M. et al. Nonrandom distribution of Pseudomonas aeruginosa and Staphylococcus aureus in chronic wounds. J. Clin. Microbiol. 47, 4084–4089 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Fagon, J.-Y. et al. Nosocomial pneumonia in ventilated patients: a cohort study evaluating attributable mortality and hospital stay. Am. J. Med. 94, 281–288 (1993).

    Article  PubMed  CAS  Google Scholar 

  4. 4.

    Vincent, J.-L. et al. The prevalence of nosocomial infection in intensive care units in Europe: results of the European Prevalence of Infection in Intensive Care (EPIC) Study. JAMA 274, 639–644 (1995).

    Article  PubMed  CAS  Google Scholar 

  5. 5.

    Garcia-Vidal, C. et al. Pseudomonas aeruginosa in patients hospitalised for COPD exacerbation: a prospective study. Eur. Respir. J. 34, 1072–1078 (2009).

    Article  PubMed  CAS  Google Scholar 

  6. 6.

    Wang, K. et al. The rapid in vivo evolution of Pseudomonas aeruginosa in ventilator-associated pneumonia patients leads to attenuated virulence. Open Biol. 7, pii: 170029 (2017).

    Article  Google Scholar 

  7. 7.

    Kang, C.-I. et al. Pseudomonas aeruginosa bacteremia: risk factors for mortality and influence of delayed receipt of effective antimicrobial therapy on clinical outcome. Clin. Infect. Dis. 37, 745–751 (2003).

    Article  PubMed  Google Scholar 

  8. 8.

    Bradley, J. et al. Carbapenems in clinical practice: a guide to their use in serious infection. Int. J. Antimicrob. Agents 11, 93–100 (1999).

    Article  PubMed  CAS  Google Scholar 

  9. 9.

    Rolain, J., Parola, P. & Cornaglia, G. New Delhi metallo‐beta‐lactamase (NDM‐1): towards a new pandemia? Clin. Microbiol. Infect. 16, 1699–1701 (2010).

    Article  PubMed  CAS  Google Scholar 

  10. 10.

    Flateau, C. et al. Recurrent pyelonephritis due to NDM-1 metallo-beta-lactamase producing Pseudomonas aeruginosa in a patient returning from Serbia, France, 2012. Eur. Surveill. 17, 20311 (2012).

    Google Scholar 

  11. 11.

    Jovcic, B. et al. Emergence of NDM-1 metallo-β-lactamase in Pseudomonas aeruginosa clinical isolates from Serbia. Antimicrob. Agents Chemother. 55, 3929–3931 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. 12.

    Shanthi, M., Sekar, U., Kamalanathan, A. & Sekar, B. Detection of New Delhi metallo beta lactamase-1 (NDM-1) carbapenemase in Pseudomonas aeruginosa in a single centre in southern India. Indian J. Med. Res. 140, 546 (2014).

    PubMed  PubMed Central  CAS  Google Scholar 

  13. 13.

    Janvier, F. et al. Molecular characterization of bla NDM-1 in a sequence type 235 Pseudomonas aeruginosa isolate from France. Antimicrob. Agents Chemother. 57, 3408–3411 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. 14.

    Teo, J. W., La, M.-V., Jureen, R. & Lin, R. T. Emergence of a New Delhi metallo-β-lactamase-1-producing Pseudomonas aeruginosa in Singapore. Emerg. Microbes Infect. 4, e72 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. 15.

    Mataseje, L. et al. Colistin-nonsusceptible Pseudomonas aeruginosa sequence type 654 with bla NDM-1 arrives in North America. Antimicrob. Agents Chemother. 60, 1794–1800 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. 16.

    Wang, M., Borris, L., Aarestrup, F. M. & Hasman, H. Identification of a Pseudomonas aeruginosa co-producing NDM-1, VIM-5 and VIM-6 metallo-β-lactamases in Denmark using whole-genome sequencing. Int. J. Antimicrob. Agents 45, 324–325 (2015).

    Article  PubMed  CAS  Google Scholar 

  17. 17.

    Woods, D. E., Cryz, S. J., Friedman, R. L. & Iglewski, B. Contribution of toxin A and elastase to virulence of Pseudomonas aeruginosa in chronic lung infections of rats. Infect. Immun. 36, 1223–1228 (1982).

    PubMed  PubMed Central  CAS  Google Scholar 

  18. 18.

    Roy-Burman, A. et al. Type III protein secretion is associated with death in lower respiratory and systemic Pseudomonas aeruginosa infections. J. Infect. Dis. 183, 1767–1774 (2001).

    Article  PubMed  CAS  Google Scholar 

  19. 19.

    Jensen, P. Ø. et al. Rapid necrotic killing of polymorphonuclear leukocytes is caused by quorum-sensing-controlled production of rhamnolipid by Pseudomonas aeruginosa. Microbiology 153, 1329–1338 (2007).

    Article  PubMed  CAS  Google Scholar 

  20. 20.

    Pearson, J. P., Pesci, E. C. & Iglewski, B. H. Roles of Pseudomonas aeruginosa las and rhl quorum-sensing systems in control of elastase and rhamnolipid biosynthesis genes. J. Bacteriol. 179, 5756–5767 (1997).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. 21.

    Imperi, F., Leoni, L. & Visca, P. Antivirulence activity of azithromycin in Pseudomona aeruginosa. Front. Microbiol. 5, 178 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Hentzer, M. et al. Attenuation of Pseudomonas aeruginosa virulence by quorum sensing inhibitors. EMBO J. 22, 3803–3815 (2003).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. 23.

    Hentzer, M. et al. Inhibition of quorum sensing in Pseudomonas aeruginosa biofilm bacteria by a halogenated furanone compound. Microbiology 148, 87–102 (2002).

    Article  PubMed  CAS  Google Scholar 

  24. 24.

    Pérez-Martínez, I. & Haas, D. Azithromycin inhibits expression of the GacA-dependent small RNAs RsmY and RsmZ in Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 55, 3399–3405 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. 25.

    Ryan, M. P., Pembroke, J. T. & Adley, C. C. Novel Tn 4371-ICE like element in Ralstonia pickettii and genome mining for comparative elements. BMC Microbiol. 9, 242 (2009).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. 26.

    Dhillon, B. K. et al. IslandViewer 3: more flexible, interactive genomic island discovery, visualization and analysis. Nucleic Acids Res. 43, W104–W108 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. 27.

    Roberts, A. P. et al. Revised nomenclature for transposable genetic elements. Plasmid 60, 167–173 (2008).

    Article  PubMed  CAS  Google Scholar 

  28. 28.

    Siguier, P., Perochon, J., Lestrade, L., Mahillon, J. & Chandler, M. ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res 34, D32–D36 (2006).

    Article  PubMed  CAS  Google Scholar 

  29. 29.

    Tateda, K. et al. Azithromycin inhibits quorum sensing in Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 45, 1930–1933 (2001).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. 30.

    Nalca, Y. et al. Quorum-sensing antagonistic activities of azithromycin in Pseudomonas aeruginosa PAO1: a global approach. Antimicrob. Agents Chemother. 50, 1680–1688 (2006).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. 31.

    Caiazza, N. C., Shanks, R. M. & O’Toole, G. A. Rhamnolipids modulate swarming motility patterns of Pseudomonas aeruginosa. J. Bacteriol. 187, 7351–7361 (2005).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. 32.

    Favre-Bonté, S., Köhler, T. & Van Delden, C. Biofilm formation by Pseudomonas aeruginosa: role of the C4-HSL cell-to-cell signal and inhibition by azithromycin. J. Antimicrob. Chemother. 52, 598–604 (2003).

    Article  PubMed  CAS  Google Scholar 

  33. 33.

    Tsai, W. C., Hershenson, M. B., Zhou, Y. & Sajjan, U. Azithromycin increases survival and reduces lung inflammation in cystic fibrosis mice. Inflamm. Res. 58, 491–501 (2009).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. 34.

    Chua, S. L. et al. Selective labelling and eradication of antibiotic-tolerant bacterial populations in Pseudomonas aeruginosa biofilms. Nat. Commun. 7, 10750 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. 35.

    Christensen, L. D. et al. Clearance of Pseudomonas aeruginosa foreign-body biofilm infections through reduction of the cyclic di-GMP level in the bacteria. Infect. Immun. 81, 2705–2713 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. 36.

    Fonseca, E. L., Marin, M. A., Encinas, F., & Vicente, A. C. P. Full characterization of the integrative and conjugative element carrying the metallo-β-lactamase blaSPM-1 and bicyclomycin bcr1 resistance genes found in the pandemic Pseudomonas aeruginosa clone SP/ST277. J. Antimicrob. Chemother. 70, 2547–2550 (2015).

    Article  PubMed  CAS  Google Scholar 

  37. 37.

    Ohtsubo, Y. et al. Conjugal transfer of polychlorinated biphenyl/biphenyl degradation genes in Acidovorax sp. strain KKS102, which are located on an integrative and conjugative element. J. Bacteriol. 194, 4237–4248 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. 38.

    Wozniak, R. A. & Waldor, M. K. Integrative and conjugative elements: mosaic mobile genetic elements enabling dynamic lateral gene flow. Nat. Rev. Microbiol. 8, 552–563 (2010).

    Article  PubMed  CAS  Google Scholar 

  39. 39.

    Michael, G. B. et al. Increased MICs of gamithromycin and tildipirosin in the presence of the genes erm(42) and msr(E)-mph(E) for bovine Pasteurella multocida and Mannheimia haemolytica. J. Antimicrob. Chemother. 67, 1555–1557 (2012).

    Article  PubMed  CAS  Google Scholar 

  40. 40.

    Roberts, M. C. et al. Nomenclature for macrolide and macrolide-lincosamide-streptogramin B resistance determinants. Antimicrob. Agents Chemother. 43, 2823–2830 (1999).

    PubMed  PubMed Central  CAS  Article  Google Scholar 

  41. 41.

    Jones, L. S. et al. Characterization of plasmids in extensively drug-resistant Acinetobacter strains isolated in India and Pakistan. Antimicrob. Agents Chemother. 59, 923–929 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. 42.

    Saiman, L. et al. Azithromycin in patients with cystic fibrosis chronically infected with Pseudomonas aeruginosa - A randomized controlled trial. JAMA 290, 1749–1756 (2003).

    Article  PubMed  CAS  Google Scholar 

  43. 43.

    Kerr, I. D. Sequence analysis of twin ATP binding cassette proteins involved in translational control, antibiotic resistance, and ribonuclease L inhibition. Biochem. Biophys. Res. Commun. 315, 166–173 (2004).

    Article  PubMed  CAS  Google Scholar 

  44. 44.

    Sharkey, L. K., Edwards, T. A. & O’Neill, A. J. ABC-F proteins mediate antibiotic resistance through ribosomal protection. MBio 7, e01975–e01915 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. 45.

    Köhler, T., Dumas, J.-L. & Van Delden, C. Ribosome protection prevents azithromycin-mediated quorum-sensing modulation and stationary-phase killing of Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 51, 4243–4248 (2007).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. 46.

    Bottomley, M. J., Muraglia, E., Bazzo, R. & Carfì, A. Molecular insights into quorum sensing in the human pathogen Pseudomonas aeruginosa from the structure of the virulence regulator LasR bound to its autoinducer. J. Biol. Chem. 282, 13592–13600 (2007).

    Article  PubMed  CAS  Google Scholar 

  47. 47.

    Arcangioli, M.-A., Leroy-Sétrin, S., Martel, J.-L. & Chaslus-Dancla, E. A new chloramphenicol and florfenicol resistance gene flanked by two integron structures in Salmonella typhimurium DT104. FEMS Microbiol. Lett. 174, 327–332 (1999).

    Article  PubMed  CAS  Google Scholar 

  48. 48.

    Fernández‐Alarcón, C. et al. Detection of the floR gene in a diversity of florfenicol resistant gram‐negative bacilli from freshwater salmon farms in Chile. Zoonoses Public Health 57, 181–188 (2010).

    Article  PubMed  CAS  Google Scholar 

  49. 49.

    Meunier, D. et al. Plasmid-borne florfenicol and ceftiofur resistance encoded by the floR and bla CMY-2 genes in Escherichia coli isolates from diseased cattle in France. J. Med. Microbiol. 59, 467–471 (2010).

    Article  PubMed  CAS  Google Scholar 

  50. 50.

    Kehrenberg, C. & Schwarz, S. Plasmid-borne florfenicol resistance in Pasteurella multocida. J. Antimicrob. Chemother. 55, 773–775 (2005).

    Article  PubMed  CAS  Google Scholar 

  51. 51.

    Cabello, F. C. Heavy use of prophylactic antibiotics in aquaculture: a growing problem for human and animal health and for the environment. Environ. Microbiol. 8, 1137–1144 (2006).

    Article  PubMed  CAS  Google Scholar 

  52. 52.

    Pouliquen, H. & Morvan, M. Determination of florfenicol in freshwater, sediments and bryophyte Fontinalis antipyretica by HPLC with fluorescence detection. Chromatographia 62, 225–231 (2005).

    Article  CAS  Google Scholar 

  53. 53.

    Olsen, R. H., DeBusscher, G. & McCOMBIE, W. R. Development of broad-host-range vectors and gene banks: self-cloning of the Pseudomonas aeruginosa PAO chromosome. J. Bacteriol. 150, 60–69 (1982).

    PubMed  PubMed Central  CAS  Google Scholar 

  54. 54.

    Poirel, L., Bonnin, R. A. & Nordmann, P. Analysis of the resistome of a multidrug-resistant NDM-1-producing Escherichia coli strain by high-throughput genome sequencing. Antimicrob. Agents Chemother. 55, 4224–4229 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  55. 55.

    Heeb, S. et al. Small, stable shuttle vectors based on the minimal pVS1 replicon for use in gram-negative, plant-associated bacteria. Mol. Plant Microbe Interact. 13, 232–237 (2000).

    Article  PubMed  CAS  Google Scholar 

  56. 56.

    Aziz, R. K. et al. The RAST Server: rapid annotations using subsystems technology. BMC Genom. 9, 75 (2008).

    Article  CAS  Google Scholar 

  57. 57.

    Sullivan, M. J., Petty, N. K. & Beatson, S. A. Easyfig: a genome comparison visualizer. Bioinformatics 27, 1009–1010 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. 58.

    Treangen, T. J., Ondov, B. D., Koren, S. & Phillippy, A. M. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol. 15, 1 (2014).

    Article  CAS  Google Scholar 

  59. 59.

    Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2 - approximately maximum-likelihood trees for large alignments. PLoS One 5, e9490 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  60. 60.

    Langille, M. G. & Brinkman, F. S. IslandViewer: an integrated interface for computational identification and visualization of genomic islands. Bioinformatics 25, 664–665 (2009).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  61. 61.

    Zankari, E. et al. Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 67, 2640–2644 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  62. 62.

    Alikhan, N.-F., Petty, N. K., Zakour, N. L. B. & Beatson, S. A. BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons. BMC Genom. 12, 402 (2011).

    Article  CAS  Google Scholar 

  63. 63.

    Darling, Mau, & Perna, N. T. progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PLoS One 5, e11147 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  64. 64.

    Joseph Clark, D. & Maaløe, O. DNA replication and the division cycle in Escherichia coli. J. Mol. Biol. 23, 99–112 (1967).

    Article  Google Scholar 

  65. 65.

    Koch, A. K., Käppeli, O., Fiechter, A. & Reiser, J. Hydrocarbon assimilation and biosurfactant production in Pseudomonas aeruginosa mutants. J. Bacteriol. 173, 4212–4219 (1991).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  66. 66.

    O’May, C. & Tufenkji, N. The swarming motility of Pseudomonas aeruginosa is blocked by cranberry proanthocyanidins and other tannin-containing materials. Appl. Environ. Microbiol. 77, 3061–3067 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  67. 67.

    Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. 68.

    Gentleman, R. C. et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 5, R80 (2004).

    Article  PubMed  PubMed Central  Google Scholar 

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This work was supported by the National Research Foundation and Ministry of Education Singapore under its Research Centre of Excellence Program and AcRF Tier 2 (MOE2016-T2-1-010) from the Ministry of Education, Singapore. We thank Ms Zi Jing Seng for her help in RNA extraction and Dr. Li Yingying for her help in molecular cloning.

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Y.D. and L.Y. designed the experiments; J.W.P.T. collected and identified the clinical samples; S.C.S. and D.I.D.-M. designed and performed RNA sequencing; Y.D. analyzed sequencing data, carried out experiments, animal work, interpreted results and wrote the manuscript; J.W.P.T., L.Y., and M.G. read and commented on the manuscript.

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Correspondence to Yichen Ding or Liang Yang.

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Ding, Y., Teo, J.W.P., Drautz-Moses, D.I. et al. Acquisition of resistance to carbapenem and macrolide-mediated quorum sensing inhibition by Pseudomonas aeruginosa via ICETn43716385. Commun Biol 1, 57 (2018).

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