Literature DB >> 32282829

Whole genome sequencing characterization of Slovenian carbapenem-resistant Klebsiella pneumoniae, including OXA-48 and NDM-1 producing outbreak isolates.

Katarina Benulič1, Mateja Pirš1, Natacha Couto2, Monika Chlebowicz2, John W A Rossen2, Tomaž Mark Zorec1, Katja Seme1, Mario Poljak1, Tatjana Lejko Zupanc3, Eva Ružić-Sabljić1, Tjaša Cerar1.   

Abstract

OBJECTIVES: The first hospital outbreak of carbapenemase-producing Enterobacteriaceae in Slovenia occurred in 2014-2016. Whole genome sequencing was used to analyse the population of carbapenem-resistant Klebsiella pneumoniae collected in Slovenia in 2014-2017, including OXA-48 and/or NDM-1 producing strains from the outbreak.
METHODS: A total of 32 K. pneumoniae isolates were analysed using short-read sequencing. Multi-locus sequence typing and core genome multi-locus sequence typing were used to infer genetic relatedness. Antimicrobial resistance markers, virulence factors, plasmid content and wzi types were determined. Long-read sequencing was used for six isolates for detailed analysis of plasmids and their possible transmission.
RESULTS: Overall, we detected 10 different sequence types (STs), the most common being ST437 (40.6%). Isolates from the initial outbreak belonged to ST437 (12/16) and ST147 (4/16). A second outbreak of four ST15 isolates was discovered. A new ST (ST3390) and two new wzi types (wzi-556, wzi-559) were identified. blaOXA-48 was found in 17 (53.1%) isolates, blaNDM-1 in five (15.6%), and a combination of blaOXA-48/NDM-1 in seven (21.9%) isolates. Identical plasmids carrying blaOXA-48 were found in outbreak isolates sequenced with long-read sequencing technology.
CONCLUSIONS: Whole genome sequencing of Slovenian carbapenem-resistant K. pneumoniae isolates revealed multiple clusters of STs, two of which were involved in the first hospital outbreak of carbapenem producing K. pneumoniae in Slovenia. Transmission of the plasmid carrying blaOXA-48 between two STs was likely to have occurred. A previously unidentified second outbreak was also discovered, highlighting the importance of whole genome sequencing in detection and/or characterization of hospital outbreaks and surveillance of drug-resistant bacterial clones.

Entities:  

Year:  2020        PMID: 32282829      PMCID: PMC7153892          DOI: 10.1371/journal.pone.0231503

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Antimicrobial resistance is a matter of concern worldwide and carbapenemase-producing Enterobacteriaceae (CPE) pose a major threat to human health. Resistance to carbapenems can be caused by production of carbapenemases (KPC, NDM, OXA-48, VIM), spreading mainly due to acquired plasmids or other mobile elements, and permeability alterations caused by the loss of porins and overexpressed efflux system [1,2]. In recent years, increased resistance to carbapenems in Klebsiella pneumoniae has been reported in several European countries, with variable distribution of predominant types of carbapenemases [1,3,4]. The most common K. pneumoniae clonal groups (CGs), as defined by multi-locus sequence typing (MLST), which are associated with outbreaks, are CG258 (sequence type (ST) 258 and its derivatives, including ST11, ST340 and ST437), CG14/15, CG17/20, CG43 (including ST101) and ST147 [5]. A recent study shows that the most common clonal lineages in Europe are indeed ST11, ST15, ST101, ST258 and their derivatives [4], and also an emerging high-risk clone ST307 [6,7]. High-risk clones ST258, ST14, ST37, ST147 and ST101 are associated with carbapenemase resistance, while ST15 and ST17 usually carry extended spectrum beta-lactamases [8]. In Slovenia, a small Central European country with 2 million inhabitants, systematic laboratory surveillance of carbapenem-resistant (CR) Enterobacteriaceae began in the second half of 2010. Until late 2014, only sporadic cases of CPE were detected (up to 10 patients with CPE per year), isolated mainly from surveillance samples. Colonization and/or infection with such strains was most frequently associated with previous hospitalization abroad, notably Serbia [9]. Slovenia lies at the eastern border of Italy and northern border of the Balkans, where the epidemiological situation has been worsening for years, with most countries reporting at least sporadic hospital outbreaks and two countries reporting interregional spread [10,11]. The worst affected country in the Balkans is Serbia with high incidence of CR-K. pneumoniae [10], mainly NDM-1 and OXA-48 producers [3,12]. Italy is also an endemic country with predominately KPC carbapenemases [3,4,11], which has recently also experienced a significant NDM outbreak [13]. In Slovenia, as elsewhere, K. pneumoniae was the most frequently isolated CPE species (50%), followed by Enterobacter spp. (25%) and Escherichia coli (17%) [6,9,14]. During the period 2014–2017, a total of 91 patients with CP-K. pneumoniae were identified, almost half of those were part of the first Slovenian hospital outbreak of CPE which began at the end of October 2014 in the largest tertiary teaching hospital, lasting until February 2016. A total of 40 patients were affected: OXA-48- and/or NDM-producing K. pneumoniae were isolated from 31 patients, CP-K. pneumoniae and CP-E. coli producing OXA-48 and/or NDM-1 were simultaneously present in a further seven patients, and OXA48-producing E. coli alone was detected in two. Two patients had also other CPE in combination with CP-K. pneumoniae. The outbreak was investigated with classic epidemiological investigation and genotyping of the isolates was performed using pulse-field gel electrophoresis and MLST determination [15]. While data obtained using classical approach can provide a general overview of the situation, data obtained using whole genome sequencing (WGS) gives much more detailed and relatively rapid insight into the situation as WGS not only has much higher discriminatory power than PFGE [16], but also allows simultaneous detection of antimicrobial resistance genes, plasmids and virulence factors. We have thus used WGS to assess the population structure of CR-K. pneumoniae between 2014 and 2017, and to further elucidate the first hospital CPE outbreak with OXA-48 and NDM-1 carbapenemases. We analysed the genomes of selected K. pneumoniae isolates to determine their relatedness and to detect possible high-risk clones, antimicrobial resistance markers, virulence factors and plasmid content. We used long-read sequencing on selected outbreak isolates to look for horizontal spread of a transmissible plasmid between these isolates.

Materials and methods

Selection of isolates

A total of 32 K. pneumoniae isolates were included in this study. Outbreak isolates were selected based on PFGE profiles [15]. The remaining isolates were selected to reflect the Slovenian population of carbapenemases. All were chosen from the laboratory collection of Institute of Microbiology and Immunology in Ljubljana, which serves as the Slovenian national expert laboratory, between 2014 and 2017 (S1 Table). Our selection included 16 CP-K. pneumoniae isolates obtained during the hospital outbreak and 16 CP-K. pneumoniae isolates unrelated to the outbreak. Six isolates were selected for long-read sequencing, five for the analysis of the blaOXA-48 plasmid and one for the confirmation of the blaLEN gene (S1 File).

Routine bacterial identification and antimicrobial susceptibility testing

MALDI-TOF mass spectrometry (Microflex LT with regularly updated Brucker MS library Brucker Daltonics, Bremen, Germany) was used for identification of organisms. Disk diffusion was used for antimicrobial susceptibility testing according to contemporary EUCAST guidelines (www.eucast.org), 2014–2017, with the ending of the isolate name denoting the year of isolation.

Molecular detection of blaNDM, blaKPC, blaOXA-48-like, blaIMP and blaVIM

Multiplex real-time PCR targeting the genes blaNDM, blaKPC, blaOXA-48-like, blaIMP and blaVIM was performed using the LightMix Modular Carbapenemase kits (TIB Molbiol, Berlin, Germany) [15].

Short-read whole-genome sequencing

QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) was used to extract genomic DNA for short-read WGS. Fourteen libraries were prepared using the Nextera XT DNA Library Prep Kit (Illumina, San Diego, CA, USA). A further 18 libraries were prepared using the Nextera DNA Flex Library Prep Kit (Illumina, San Diego, CA, USA). Sequencing was performed on the Illumina MiSeq Platform (2 x 300 bp). FastQC 0.11.8 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) was used for quality control of raw reads. Default settings for trimming were used in Ridom SeqSphere 5.1.0. (Ridom, GmbH, Munster, Germany). Briefly, trimming was performed on both ends of the reads until the average base quality was > 30 in a window of 20 bases. Reads were subsequently assembled de novo using the Velvet assembly tool in Ridom SeqSphere 5.1.0. (Ridom GmbH, Münster, Germany) with default settings [17]. Assembly quality check was performed by Ridom SeqSphere and Quast programme [18] (S1 Table).

Long-read whole genome sequencing using Oxford tanopore technologies

DNA for long-read sequencing by Oxford Nanopore Technologies (ONT, Oxford, UK) was isolated using the PureLink Genomic DNA Mini Kit (Invitrogen, Thermo Fisher Scientific, Carlsbad, CA, USA), following the manufacturer's instructions. Libraries were prepared using Native Barcoding (EXP-NBD104) and Ligation Sequencing Kits (SQK-LSK109) (ONT). DNA products were sequenced in a GridION X5 system (ONT) on a FLO-MIN106 flow cell for 48 h. Basecalling was conducted using Guppy v2.0.5 (ONT), and Porechop v0.2.3_seqan2.1.1 was used for sequence trimming and to demultiplex the dataset (https://github.com/rrwick/Porechop). Original Illumina reads were trimmed with Trimomatic v0.39 [19]. Hybrid de novo sequence assemblies were obtained using Unicycler v0.4.7 [20].

MLST genotyping, wzi typing, virulence genes, resistance genes and plasmid detection

MLST [21], wzi typing and detection of genes encoding virulence factors were achieved by uploading contigs to the Pasteur Institute website (http://bigsdb.pasteur.fr) [22-24]. Virulence score was calculated according to Kleborate software (https://github.com/katholt/Kleborate). Determination of resistance genes, detection of plasmids and pMLST were performed with default settings using ResFinder 3.1 [25], PlasmidFinder 2.0 and pMLST 1.4 (https://cge.cbs.dtu.dk/services/) [26], respectively. New ST and wzi types were submitted to the Pasteur Institute website, where new identification numbers were assigned. Six isolates sequenced using ONT were also analysed using ResFinder 3.1 [25], PlasmidFinder 2.0 and pMLST 2.0 [26]. The Bandage programme was used for identification of carbapenemase genes [27]. Plasmids of five isolates positive for blaOXA-48, which were sequenced using ONT, and a reference plasmid from the Kp11978 strain [28,29], were compared and visualized using the BLAST Ring Image Generator (BRIG) [30]. The plasmid was annotated using Geneious 8.1.8 (Biomatters, Ltd., Auckland, New Zealand) and annotations were additionally compared to non-redundant protein sequences database using blastx at NCBI (http://blast.ncbi.nlm.nih.gov). Our five aforementioned isolates were also compared in EasyFig [31].

Nucleotide sequence accession number

Sequencing data have been submitted to the European Nucleotide Archive (study accession number PRJEB32863).

Results

Real-time PCR to detect AMR genes

According to real-time PCR, the genes blaOXA-48-like and blaNDM-1 were the most commonly determined, found in 17/32 (53.1%) and 5/32 (15.6%) isolates, respectively (Table 1). Seven out of thirty-two (21.9%) isolates carried both genes. blaKPC-2 and blaVIM-1 genes were found in one isolate each.
Table 1

WGS characterization of K. pneumoniae isolates (n = 32), carbapenem-resistance and wzi typing.

IsolateSTwzi typingblaKPC-2blaVIM -1blaNDM-1blaOXA-48blaOXA-181
BR318-141524  +  
BM670-161524  +  
BM367-171524  +  
BR402-1415447  +  
BM433-163537    +
BR406-153783   + 
BR4-14101137  ++ 
BR605-15101137   + 
BR615-16101137   + 
BM679-17101137  +  
BR370-14a14764   + 
BR387-14a14764   + 
BR328-14a14764   + 
BR319-14a14764   + 
BR193-1714799   + 
BM230-1725829+    
BR470-1526895   + 
BR321-14a437109   + 
BR329-14a437109   + 
BR38-15a437109   + 
BR103-15a437109   + 
BR179-15a437109  ++ 
BR194-15a437109  ++ 
BR211-15a437109  ++ 
BR247-15a437109   + 
BR252-15b437109  ++ 
BR254-15a437109  ++ 
BR76-16a437109   + 
BR282-16a437109   + 
BR207-15a437109  ++ 
BR380-152384559 +   
BR737-163390556   + 

a outbreak isolates

b additionally determined outbreak isolate

a outbreak isolates b additionally determined outbreak isolate

Detection of beta-lactamase genes in WGS data

Overall, we detected 30 different beta-lactam resistance genes using WGS (Table 1, S2 Table). The majority of beta-lactamase genes were rare, with 16 genes being present in one isolate each. The most commonly detected was blaCTX-M-15, which was found in 27/32 (84.4%) isolates. In one K. pneumoniae isolate, blaLEN gene was detected. Carbapenemase genes detected with WGS were concordant with the results of the real-time PCR.

Multi-locus sequence typing

Based on short-read WGS data, we detected 10 different STs (Table 1, Fig 1). The most frequent type was ST437 (13/32; 40.6%). Outbreak isolates belonged to ST437 (12/16) and ST147 (4/16). One of the ST437 isolates (marked in yellow, Fig 1) was initially considered as unrelated to the outbreak according to the epidemiological data, though it clustered together with other ST437 isolates from the outbreak. The four ST147 outbreak isolates did not cluster with the rest of the outbreak isolates and the fifth ST147 isolate was not related to the outbreak. Interestingly, a second outbreak of four closely related isolates of ST15 was discovered. Further four isolates belonged to ST101 but were not closely related to each other. The remaining isolates (6/32) were assigned to different STs, one of which was new, namely ST3390 (gapA:2; infB:1; mdh:1; pgi:1; phoE:361; rpoB:1; tonB:14).
Fig 1

cgMLST minimum spanning tree of 32 Slovenian K. pneumoniae isolates, calculated in Ridom SeqSphere and based on comparing 2365 alleles, ignoring pairwise missing values.

Each node is labelled with an ST and carbapenemase gene. Grey nodes represent isolates not related to the outbreak. Red nodes are epidemiologically confirmed outbreak isolates. The yellow node is an additionally determined outbreak isolate by WGS. Green node represents newly determined ST. Lines indicate the number of allelic differences.

cgMLST minimum spanning tree of 32 Slovenian K. pneumoniae isolates, calculated in Ridom SeqSphere and based on comparing 2365 alleles, ignoring pairwise missing values.

Each node is labelled with an ST and carbapenemase gene. Grey nodes represent isolates not related to the outbreak. Red nodes are epidemiologically confirmed outbreak isolates. The yellow node is an additionally determined outbreak isolate by WGS. Green node represents newly determined ST. Lines indicate the number of allelic differences.

Virulence factors

Complete mrk clusters were detected in 24/32 (75.0%) isolates (S2 Table). All 32 isolates carried mrkB, mrkC, mrkF and mrkJ. Complete ybt (yersiniabactin) cluster was detected in 5 isolates, for which a virulence score 1 was calculated. Complete iuc (aerobactin) locus was detected in four isolates, three of them belonging to the outbreak. Colibactin and salmochelin coding loci were not detected among our isolates. In 27/32 (84.4%) isolates, including all outbreak isolates, we calculated a virulence score 0. Interestingly, ST437 and ST147 outbreak isolates possessed a maximum of 11 virulence genes, with the majority carrying eight genes.

Wzi typing

Overall, 12 different wzi types were identified, two of them being new variants, namely wzi-556 and wzi-559. The most frequently detected was wzi-109, which was assigned to all (13/13) ST437 isolates (Table 1). Four of five closely related ST147 isolates shared an identical wzi-64 type; the fifth isolate was wzi-99.

Plasmid content

Plasmid analysis revealed a high diversity of incompatibility (Inc) groups (n = 23) (S2 Table). The most frequent was IncL/M (pOXA-48), detected in 23/32 (71.9%) isolates. IncL/M (pOXA-48) was not detected in two of 24 blaOXA-48-positive isolates. All but one (11/12) NDM-1-positive isolates had detectable IncA/C2, although other plasmid groups were also detected, e.g. IncFII(K), IncFIB(K), IncHI1B (S2 Table). Plasmid analysis of five outbreak isolates sequenced with ONT revealed an almost identical plasmid in the Kp11978 reference and all five isolates (ST437, ST147) with a blaOXA-48 gene detected (Fig 2). The blaOXA-48 gene, along with the gene for acetyl CoA carboxylase and transcription regulator lysR was embedded between the two IS1999. The only difference between our isolates was present in isolate BR38, which had a mucAB region inserted (S1 Fig). In one of the aforementioned five ONT sequenced isolates, blaNDM-1 carrying plasmid was also detected besides blaOXA-48 plasmid. In the sixth isolate neither of the two plasmids was detected, nor the blaLEN gene, which was detected with Illumina sequencing.
Fig 2

BRIG-generated schematic representation of the plasmid encoding blaOXA-48 (marked in blue), sequenced using hybrid assemblies of five Klebsiella pneumoniae isolates and a reference plasmid from Kp11978 isolate [28,29].

Discussion

The most represented ST in CP-K. pneumoniae from this study was ST437, a single locus variant of ST258 from the widely distributed clonal group CG258 [32]. This is due to the first hospital outbreak with aforementioned ST437 and ST147, that occurred in 2014–2016 [15], with OXA-48- and/or NDM-1-producing K. pneumoniae. Almost identical plasmid was confirmed in different outbreak isolates belonging to the two STs suggesting plasmid-mediated spread of blaOXA-48 resistance genes. This is in concordance with initial molecular analysis of the outbreak where PFGE demonstrated oligoclonal structure in epidemiologically clearly linked patients [15]. A recent study shows that the most common and high-risk clonal lineages in Europe are ST11, ST15, ST101 and ST258 and their derivatives [4], of which STs 15, 101 and 258 were also detected among our isolates. ST307, the cause of the recent outbreak with OXA-48/NDM-1 producing and colistin-resistant K. pneumoniae in Germany [7], was not found among our isolates. WGS analysis revealed an additional outbreak isolate (BR252-15). Epidemiological investigation did not establish any connection between the patient, from whom this K. pneumoniae ST437 was isolated, and the wards where other infected patients were hospitalized, whereas our WGS data suggested that this isolate was part of the same outbreak, clustering together with the rest of ST437 outbreak isolates based on core genome MLST. It was also confirmed that the same plasmid, carrying blaOXA-48, was present in the patient's isolate and other outbreak isolates showing the potential of WGS to enhance conventional epidemiologic investigation and allow a more accurate control of an outbreak [33]. We detected a combination of three different beta-lactamase genes blaOXA-48, blaNDM-1 and blaCTX-M-15 in six ST437 isolates (BR179-15, BR194-15, BR207-15, BR211-15, BR254-15, BR252-15), which to our knowledge is the first described combination of these genes in ST437. Co-existence of genes for CTX-M-15 and OXA-48 has been observed in K. pneumoniae isolate from our source patient (BR329-14) as well as in ST437 isolates in Serbia [12], where this patient was previously hospitalized [15]. We did not detect blaNDM-1in K. pneumoniae isolates of the source patient, we did however detect it in E. coli and Proteus mirabilis isolate that were isolated from the same surveillance sample which was presumably the source for blaNDM-1 in K. pneumoniae outbreak isolates [15]. Five ST147 isolates, a clone associated with KPC, VIM, NDM, OXA-48-like and CTX-M-15 producers and a common ST in Europe, with prevalence in the Mediterranean basin, including North African countries [34,35], were detected. Four of them, closely related to each other according to WGS, were epidemiologically confirmed outbreak isolates and clustered together with only one allelic mismatch. Moreover, four isolates of ST15, a pandemic clone [36], also detected in our neighbouring countries Croatia, Austria, and Hungary and associated with OXA-48, NDM-1 and CTX-M-15 producers [37-39], were detected in our selection, forming an unexpected outbreak. All four isolates shared the same beta-lactamase resistance pattern; however, additional epidemiological investigations have failed to reveal any clear connection. Although it is one of the most commonly identified STs around the world and in Europe [4,40], ST258 was found in only one patient in our study which is to be expected as this ST is frequently associated with KPC carbapenemase, which is rare in Slovenia (less than 10% of CP-K. pneumoniae, Pirs M, personal communication). ST11, one of the most frequently detected STs in Europe [4,41], remained undetected among our isolates. In the majority of European K. pneumoniae isolates that carried more than one carbapenemase gene, the blaOXA-48-like and blaNDM-like combination was reported to be the most common [4,7], and it is also the only combination detected in our K. pneumoniae isolates. Although blaLEN was observed in ST258 isolate identified as K. pneumoniae according to short-read assembly, analysis of the hybrid assembly did not show the gene. However, K. pneumoniae belonging to ST258 and carrying blaLEN has already been described [42]. This discordance of results could be due to use of the two assemblers, which use different algorithms for assembly: Velvet assembler for the short-reads assembly and SPAdes for the hybrid-assembly [8,43]. It has been previously reported that outbreak isolates can have enhanced virulence potential [44], though our findings suggest that the virulence genes alone were not responsible for the successful spread of our outbreak clones, since they had a virulence score 0 and possessed a maximum of 11 virulence genes, whereas other isolates had a detected maximum of 26 genes, which is in accordance with some other studies [45,46]. A complete mrk cluster, coding type-3 fimbriae [22], was detected in majority of our isolates. We did not further investigate the missing genes in the mrk cluster in some isolates, although it has been reported that they could be interrupted by insertion sequences, which results in impaired detection [47]. A complete locus of an alternative siderophore-coding yersiniabactin was detected in few isolates, but none of them was an outbreak isolate. The yersiniabactin locus is often found in CP-K. pneumoniae and is strongly associated with isolates from the respiratory tract, including CP ST258 [48]. Our results are in concordance with this association, as all eleven genes of the locus were detected in our ST258 CP isolate. The aerobactin (iuc) locus, which consists of iucA-D and iutA genes, has been known for its connection with virulence, and it was suggested its role in virulence is the most crucial among siderophore-coding loci [49]. We detected iuc locus in few of the outbreak isolates, which were without detected ybt locus. All of our outbreak isolates were therefore scored by virulence score 0, including majority of the remaining isolates, so our findings show that successful CP-K. pneumoniae clones present in Slovenia were not very virulent. All of our isolates belonging to the largest cluster ST437 were assigned wzi-109, a combination that has been previously reported [50]. The wzi gene is a part of the cps locus responsible for synthesis of capsule polysaccharide and associated with virulence and capsular switching, important for escaping the host immune response [22,51]. The gene can thus be used for characterization and typing of K. pneumoniae isolates. Previous studies report a possible exchange of the cps locus, including wzi genes, between K. pneumoniae strains, although it is not clear if horizontal exchange and capsular switching is equally common in all clonal groups and STs [5,51]. Some correlation has been reported between certain wzi types and carbapenem-resistance genes, namely KPC-2, ST258 and wzi-29 [40,47]. wzi-29 was indeed detected in one of our isolates belonging to this well-known clone, which was positive for blaKPC-2. We detected two new wzi types. IncL/M (pOXA-48), an epidemic plasmid connected with the worldwide dissemination of blaOXA-48 [29], was detected in our blaOXA-48 positive isolates, suggesting it could be responsible for the carbapenem resistance in K. pneumoniae isolates in Slovenian hospital. The genetic environment of blaOXA-48 was consistent with previous work [29]. Our findings regarding IncA/C plasmids could be compatible with Hancock et al. [52], highlighting an association with blaNDM, although this gene can also be associated with a number of other plasmids [53,54]. However, assembly of plasmids is difficult to achieve with short reads generated with Illumina Miseq [55], so further analysis is needed for determination of the plasmid responsible for acquired resistance determinants in our isolates. With long-read sequencing of five outbreak isolates, we confirmed almost exactly the same plasmid present in all five isolates (ST437 and ST147) positive for blaOXA-48, suggesting the plasmid-mediated spread of carbapenem-resistance among different STs and showing the importance of WGS in identifying and characterizing outbreaks.

Conclusions

Whole-genome sequencing of a selection of Slovenian CR-K. pneumoniae isolates revealed multiple clusters of sequence types, of which two were involved in the single hospital outbreak of CP-K. pneumoniae in Slovenia. A further isolate belonging to the outbreak was identified and transmission of the blaOXA-48-carrying plasmid was confirmed, highlighting the importance of WGS in detecting and/or characterizing hospital outbreaks. A previously unidentified outbreak of ST15 isolates was unexpectedly discovered, a finding demonstrating the need for better surveillance of drug-resistant bacterial clones.

Quast and SeqSphere assembly quality report.

(XLS) Click here for additional data file.

K. pneumoniae isolates (n = 32) characterization inlcuding resistance, plasmid and virulence profiles by WGS.

(XLS) Click here for additional data file.

Methods.

Six isolates were analysed using ONT GridIon. Four sequenced isolates were part of a confirmed outbreak: two belonged to the main cluster of ST437, the other two were selected as the only representatives of ST147 in order to confirm transmission of a plasmid with the blaOXA-48 resistance gene among different clones in the outbreak. One isolate of ST437 was previously classified as unrelated to the outbreak according to epidemiological data but clustered together with the outbreak isolates; therefore, we wanted to confirm it as part of the outbreak. The sixth isolate was sequenced because we detected blaLEN in K. pneumoniae belonging to ST258 and we wanted to confirm the presence of that gene. (DOC) Click here for additional data file.

EasyFig-generated schematic representation of blaOXA-48 encoding plasmids detected with long-read whole genome sequencing.

Black lines represent plasmids from five K. pneumoniae isolates positive for blaOXA-48 in PCR and short-read whole-genome sequencing. Coloured bars represent shared parts of genome between plasmids. An insertion was detected in isolate BR38 (white triangular insert in the bottom two coloured bars). (TIF) Click here for additional data file. 8 Jan 2020 PONE-D-19-32138 Whole genome sequencing characterization of Slovenian carbapenem-resistant Klebsiella pneumoniae, including OXA-48 and NDM-1 producing outbreak isolates PLOS ONE Dear Dr. Benuli, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. We would appreciate receiving your revised manuscript by Feb 22 2020 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. To enhance the reproducibility of your results, we recommend that if applicable you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). This letter should be uploaded as separate file and labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. This file should be uploaded as separate file and labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. This file should be uploaded as separate file and labeled 'Manuscript'. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out. We look forward to receiving your revised manuscript. Kind regards, Rosa del Campo Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements: 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at http://www.plosone.org/attachments/PLOSOne_formatting_sample_main_body.pdf and http://www.plosone.org/attachments/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. We note that you are reporting an analysis of a microarray, next-generation sequencing, or deep sequencing data set. PLOS requires that authors comply with field-specific standards for preparation, recording, and deposition of data in repositories appropriate to their field. Please upload these data to a stable, public repository (such as ArrayExpress, Gene Expression Omnibus (GEO), DNA Data Bank of Japan (DDBJ), NCBI GenBank, NCBI Sequence Read Archive, or EMBL Nucleotide Sequence Database (ENA)). In your revised cover letter, please provide the relevant accession numbers that may be used to access these data. For a full list of recommended repositories, see http://journals.plos.org/plosone/s/data-availability#loc-omics or http://journals.plos.org/plosone/s/data-availability#loc-sequencing. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: N/A Reviewer #2: N/A ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: In the present study, the authors describe the characterization of carbapenemase-producing Enterobacterales isolates recovered during two outbreaks in Slovenia (2014-2017) using whole genome sequencing. The introduction and Materials sections are well organized and presented, but the results section is very summarized and the discussion includes important results not previously mentioned in the results section. Moreover, a more rigorous analysis of plasmids must be done. I have some major questions: Line 120- Quality control and filtering of sequences have been performed?? Authors should make ensure that the sequences have enough quality to do the subsequent bioinformatics analysis. In the same way, they should include a quality assembly report (QUAST report or similar with N50, L50, number of contigs, length of genomes, etc.) that allows readers to know the quality of the draft genomes obtained after the assembly. Line 208-210- A reference plasmid has not been represented along with plasmids identified during this study. To understand the epidemiological relevance of these OXA-48-encoding plasmids and their transmission in this country, they should be compared with the reference plasmids more closely related (for example the worldwide disseminated pOXA-48a described by Poirel in 2012). Alike, plasmid representation should be annotated (the genetic environment of carbapenemase genes plays an important role in the dissemination of these genes and should be represented in the figure 2). Line 211- Plasmids with OXA-48 and NDM-1 were different? Information about this strain and both plasmids is not included in the study. Has the OXA-48-encoding plasmid been compared with the other 5 sequenced plasmids? These data must be included in the study. Line 236- In the discussion, authors say that the combination blaOXA-48, blaNDM-1 and blaCTX-M-15 of genes is firstly detected in the ST437 clone. CTX-M enzymes has not been previously mentioned in the results section. If authors consider that this is an important finding, they should be included the result in the paragraph “Detection of beta-lactamase genes in WGS data” (not only in the table of supplementary material). The same in lines 238-240. Line 262- Alike, blaLEN results have been firstly commented in the discussion and non-mention has been previously made in the Results. Lines 295-301- These results should be better explained in the results section and then express a more general idea in the discussion. Minor questions: Line 58 and 224 - Authors comment that most frequent clones in Europe are ST11, ST15, ST101 and…ST285. With the latter the author must refer to clone ST258. Line 59 - Authors should use “present simple” form throughout all the sentence (…ST101 are associated with carbapenemase….ST17 usually carry extended spectrum…) Line 108 – Which are the breakpoints used for the antimicrobial susceptibility study? (EUCAST-2019 or 2018 or 2017??). Lines 116-118 – Kits for library preparations are indicated in this section, but not the sequencing platform used (Illumina HiSeq? NovaSeq?) Reviewer #2: This is a very interesting article presenting an outbreak caused by carbapenem resistant Klebsiella pneumoniae in Slovenia using WGS. Antimicrobial resistance markers, virulence factors, plasmid content and wzi types were determined with this teqnique which was not so accessible and possible in such a depth. This knowledge might be very helpful in future for possible surveillance and infectious control reasons especially for highly pathogenic bacteria such as K. pneumoniae. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 3 Mar 2020 Line 120- Quality control and filtering of sequences have been performed?? Authors should make ensure that the sequences have enough quality to do the subsequent bioinformatics analysis. In the same way, they should include a quality assembly report (QUAST report or similar with N50, L50, number of contigs, length of genomes, etc.) that allows readers to know the quality of the draft genomes obtained after the assembly. We have included the information in the revised version of the article. Please see lines 121-127 and S1 Table. Line 208-210- A reference plasmid has not been represented along with plasmids identified during this study. To understand the epidemiological relevance of these OXA-48-encoding plasmids and their transmission in this country, they should be compared with the reference plasmids more closely related (for example the worldwide disseminated pOXA-48a described by Poirel in 2012). Alike, plasmid representation should be annotated (the genetic environment of carbapenemase genes plays an important role in the dissemination of these genes and should be represented in the figure 2). Our five ONT sequenced pOXA-48 positive isolates are now annotated and compared to the reference plasmid described by Poirel et al. (2012). Please see lines 149-155, 224-227, line 321 and Figure 2. Line 211- Plasmids with OXA-48 and NDM-1 were different? Information about this strain and both plasmids is not included in the study. Has the OXA-48-encoding plasmid been compared with the other 5 sequenced plasmids? These data must be included in the study. Thank you for your comment. In the strain with both, OXA-48 and NDM-1 plasmid (BR252-15), OXA-48 plasmid was compared to four other sequenced plasmids and the comparison is seen in the Figure 2. In the 6th ONT sequenced isolate, as expected, we did not detect OXA-48 or NDM-1 plasmid. Please see lines 102-104 and also lines 229-232. Line 236- In the discussion, authors say that the combination blaOXA-48, blaNDM-1 and blaCTX-M-15 of genes is firstly detected in the ST437 clone. CTX-M enzymes has not been previously mentioned in the results section. If authors consider that this is an important finding, they should be included the result in the paragraph “Detection of beta-lactamase genes in WGS data” (not only in the table of supplementary material). The same in lines 238-240. Thank you for your comment. The information was added, please see lines 178-180. Line 262- Alike, blaLEN results have been firstly commented in the discussion and non-mention has been previously made in the Results. The information was added, please see lines 178-180. Lines 295-301- These results should be better explained in the results section and then express a more general idea in the discussion. Changes were made to the results and discussion sections regarding the plasmids. Please see lines 220-222 and also lines 317-324. Line 58 and 224 - Authors comment that most frequent clones in Europe are ST11, ST15, ST101 and…ST285. With the latter the author must refer to clone ST258. The mistake was corrected. Line 59 - Authors should use “present simple” form throughout all the sentence (…ST101 are associated with carbapenemase….ST17 usually carry extended spectrum…) The sentence was corrected. Line 108 – Which are the breakpoints used for the antimicrobial susceptibility study? (EUCAST-2019 or 2018 or 2017??). For AST with disk diffusion contemporary EUCAST guidelines were used (with the ending of the isolate name denoting the year of isolation). The information was added to lines 109-110. Lines 116-118 – Kits for library preparations are indicated in this section, but not the sequencing platform used (Illumina HiSeq? NovaSeq?) The information regarding sequencing platform was added. Please see lines 120-121. Please note: There was a minor change to S1_File_Methods. Figure S2, which was not referred to in the manuscript and not intended for publication, was accidentally included in the previous submitted version. It has been removed from the current submission. Submitted filename: Response to Reviewers.docx Click here for additional data file. 25 Mar 2020 Whole genome sequencing characterization of Slovenian carbapenem-resistant Klebsiella pneumoniae, including OXA-48 and NDM-1 producing outbreak isolates PONE-D-19-32138R1 Dear Dr. Benulic, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Rosa del Campo Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 26 Mar 2020 PONE-D-19-32138R1 Whole genome sequencing characterization of Slovenian carbapenem-resistant Klebsiella pneumoniae, including OXA-48 and NDM-1 producing outbreak isolates Dear Dr. Benulic: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Rosa del Campo Academic Editor PLOS ONE
  49 in total

Review 1.  Plasmids and the spread of resistance.

Authors:  Alessandra Carattoli
Journal:  Int J Med Microbiol       Date:  2013-03-14       Impact factor: 3.473

2.  Klebsiella pneumoniae yersiniabactin promotes respiratory tract infection through evasion of lipocalin 2.

Authors:  Michael A Bachman; Jennifer E Oyler; Samuel H Burns; Mélissa Caza; François Lépine; Charles M Dozois; Jeffrey N Weiser
Journal:  Infect Immun       Date:  2011-05-16       Impact factor: 3.441

Review 3.  Klebsiella pneumoniae Population Genomics and Antimicrobial-Resistant Clones.

Authors:  Kelly L Wyres; Kathryn E Holt
Journal:  Trends Microbiol       Date:  2016-10-11       Impact factor: 17.079

4.  BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons.

Authors:  Nabil-Fareed Alikhan; Nicola K Petty; Nouri L Ben Zakour; Scott A Beatson
Journal:  BMC Genomics       Date:  2011-08-08       Impact factor: 3.969

Review 5.  Carbapenemase-Producing Klebsiella pneumoniae, a Key Pathogen Set for Global Nosocomial Dominance.

Authors:  Johann D D Pitout; Patrice Nordmann; Laurent Poirel
Journal:  Antimicrob Agents Chemother       Date:  2015-07-13       Impact factor: 5.191

6.  KPC-2 and OXA-48 carbapenemase-harbouring Enterobacteriaceae detected in an Austrian wastewater treatment plant.

Authors:  H Galler; G Feierl; C Petternel; F F Reinthaler; D Haas; A J Grisold; J Luxner; G Zarfel
Journal:  Clin Microbiol Infect       Date:  2013-08-30       Impact factor: 8.067

7.  Identification of IncA/C Plasmid Replication and Maintenance Genes and Development of a Plasmid Multilocus Sequence Typing Scheme.

Authors:  Steven J Hancock; Minh-Duy Phan; Kate M Peters; Brian M Forde; Teik Min Chong; Wai-Fong Yin; Kok-Gan Chan; David L Paterson; Timothy R Walsh; Scott A Beatson; Mark A Schembri
Journal:  Antimicrob Agents Chemother       Date:  2017-01-24       Impact factor: 5.191

8.  Identification of acquired antimicrobial resistance genes.

Authors:  Ea Zankari; Henrik Hasman; Salvatore Cosentino; Martin Vestergaard; Simon Rasmussen; Ole Lund; Frank M Aarestrup; Mette Voldby Larsen
Journal:  J Antimicrob Chemother       Date:  2012-07-10       Impact factor: 5.790

9.  Bandage: interactive visualization of de novo genome assemblies.

Authors:  Ryan R Wick; Mark B Schultz; Justin Zobel; Kathryn E Holt
Journal:  Bioinformatics       Date:  2015-06-22       Impact factor: 6.937

10.  National survey of colistin resistance among carbapenemase-producing Enterobacteriaceae and outbreak caused by colistin-resistant OXA-48-producing Klebsiella pneumoniae, France, 2014.

Authors:  Aurélie Jayol; Laurent Poirel; Laurent Dortet; Patrice Nordmann
Journal:  Euro Surveill       Date:  2016-09-15
View more
  4 in total

1.  Whole Genome Characterization of the High-Risk Clone ST383 Klebsiella pneumoniae with a Simultaneous Carriage of blaCTX-M-14 on IncL/M Plasmid and blaCTX-M-15 on Convergent IncHI1B/IncFIB Plasmid from Egypt.

Authors:  Eva A Edward; Nelly M Mohamed; Azza S Zakaria
Journal:  Microorganisms       Date:  2022-05-26

2.  Epidemiology, Environmental Risks, Virulence, and Resistance Determinants of Klebsiella pneumoniae From Dairy Cows in Hubei, China.

Authors:  Xiangyun Wu; Jiayi Liu; Jiawei Feng; Muhammad Abu Bakr Shabbir; Yali Feng; Rui Guo; Meifang Zhou; Sulin Hou; Guiqiang Wang; Haihong Hao; Guyue Cheng; Yulian Wang
Journal:  Front Microbiol       Date:  2022-05-04       Impact factor: 6.064

3.  Using Whole Genome Sequencing to Trace, Control and Characterize a Hospital Infection of IMP-4-Producing Klebsiella pneumoniae ST2253 in a Neonatal Unit in a Tertiary Hospital, China.

Authors:  Yuanyuan Bai; Chunhong Shao; Yingying Hao; Yueling Wang; Yan Jin
Journal:  Front Public Health       Date:  2021-12-15

Review 4.  NGSocomial Infections: High-Resolution Views of Hospital-Acquired Infections Through Genomic Epidemiology.

Authors:  Alexander L Greninger; Danielle M Zerr
Journal:  J Pediatric Infect Dis Soc       Date:  2021-12-24       Impact factor: 3.164

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.