Next Article in Journal
Dermanyssosis in the Urban Context: When the One Health Paradigm Is Put into Practice
Previous Article in Journal
Comparative Animal Models of Human Viral Infections
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Pathogens
Volume 11
Issue 12
10.3390/pathogens11121394
pathogens-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Comprehensive Genomic Analysis of the Emergent Klebsiella pneumoniae ST16 Lineage: Virulence, Antimicrobial Resistance and a Comparison with the Clinically Relevant ST11 Strain

by
Romário Oliveira de Sales
,
Laura Leaden
,
Letícia Busato Migliorini
and
Patricia Severino
*
Albert Einstein Research and Education Institute, Hospital Israelita Albert Einstein, Sao Paulo 05652-900, Brazil
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(12), 1394; https://doi.org/10.3390/pathogens11121394
Submission received: 13 October 2022 / Revised: 4 November 2022 / Accepted: 10 November 2022 / Published: 22 November 2022
(This article belongs to the Section Bacterial Pathogens)
Browse Figures
Versions Notes

Abstract

:
Klebsiella pneumoniae is considered an opportunistic pathogen frequently involved with healthcare-associated infections. The genome of K. pneumoniae is versatile, harbors diverse virulence factors and easily acquires and exchanges resistance plasmids, facilitating the emergence of new threatening clones. In the last years, ST16 has been described as an emergent, clinically relevant strain, increasingly associated with outbreaks, and carrying virulence factors (such as ICEKp, iuc, rmpADC/2) and a diversity of resistance genes. However, a far-reaching phylogenetic study of ST16, including geographically, clinically and temporally distributed isolates is not available. In this work, we analyzed all publicly available ST16 K. pneumoniae genomes in terms of virulence factors, including capsular lipopolysaccharide and polysaccharide diversity, plasmids and antimicrobial resistance genes. A core genome SNP analysis shows that less than 1% of studied sites were variant sites, with a median pairwise single nucleotide polymorphism difference of 87 SNPs. The number and diversity of antimicrobial resistance genes, but not of virulence-related genes, increased consistently in ST16 strains during the studied period. A genomic comparison between ST16 and the high-risk clone ST11 K. pneumoniae, showed great similarities in their capacity to acquire resistance and virulence markers, differing mostly in the great diversity of capsular lipopolysaccharide and polysaccharide types in ST11, in comparison with ST16. While virulence and antimicrobial resistance scores indicated that ST11 might still constitute a more difficult-to-manage strain, results presented here demonstrate the great potential of the ST16 clone becoming critical in public health.

1. Introduction

The Gram-negative bacterium, Klebsiella pneumoniae, is considered an opportunistic pathogen associated with infections in hospitalized or otherwise immunocompromised individuals [1,2,3]. K. pneumoniae contains a core genome, and a large and variable accessory genome harboring virulence factors and antimicrobial resistance genes associated with hospital-acquired infections [2]. Among the most important virulence factors, lipopolysaccharides and polysaccharide capsule that help to evade the immune system, and iron-chelating siderophores, such as yersiniabactin (ybt) and colibactin (clb), are located on integrative conjugative elements (ICEKp), and aerobactin and salmochelin are plasmid encoded [3,4,5]. Other important virulence mechanisms are associated with the hypermucoviscous phenotype and the presence of the capsular regulator genes rmpA, rmpA2 and magA that up regulate capsule production [2,3,6]. The hypervirulent (hv) phenotype of K. pneumoniae is strongly associated with the presence of capsular regulator genes and siderophores [3,7]. The accessory genome is also central to antibiotic resistance in K. pneumoniae [2]. Resistance to carbapenems is mainly attributed to the presence of carbapenemases, including K. pneumoniae carbapenemase (KPC), Oxacilinases (OXA) and New Delhi metallo-betalactamase (NDM) [3,8,9]. Due to the versatility of acquiring and exchanging resistance plasmids of K. pneumoniae, nosocomial infection surveillance is necessary to collect genomic data and identify new and emerging clones [3,10].
Genomic surveillance is being used increasingly to monitor hypervirulence and carbapenemase genes in K. pneumoniae isolates [2,3]. The well-characterized high-risk clonal complex (CC), 258 (ST11, ST258, ST512 and ST437), is frequently associated with Klebsiella carbapenemase KPC, and harbors numerous other acquired resistance genes [3,11]. ST11 K. pneumoniae is an extensively drug-resistant clone, disseminated worldwide [3,12,13]. The infections caused by XDR K. pneumoniae decrease the clinical therapeutic options [12]. The convergence of hypervirulence and the presence of carbapenemase genes have become a threat to public health [2,7]. Recently, a fatal outbreak caused by a hypervirulent carbapenem-resistant ST11 isolate was reported in China; no antibiotics were effective in treating the infections caused by these strains [14].
K. pneumoniae genotypes that do not belong to CC258, among which ST16, have emerged as clinically relevant [15,16]. Increased worldwide dissemination, its association with nosocomial outbreaks, as well as increased virulence of ST16 when compared to ST258 or ST11 in Galleria mellonella pathogenicity models [15,16,17], suggest that this clone possesses acquired molecular characteristics worth investigation.
Since 2008, numerous hospital surveillance programs from different countries reported ST16 carrying multiple carbapenemases. In Denmark, CTX-M-15 and SHV-1-producing ST16, and ST16 harboring NDM-5 were reported in 2008 and 2015, respectively [18,19]. ST16 associated with CTX-M-15 caused infections in a hospital in France, and in Italy a carbapenem-resistant ST16 clone co-producing NDM-1 and OXA-232 was also reported [20,21]. Furthermore, ST16 carrying NDM-1 was reported in the United Kingdom, Ireland, Taiwan, Croatia, Bulgaria and Canada [22,23,24,25,26,27]. In Vietnam, ST16 isolates harboring OXA-48 or NDM-4 have been reported, and NDM-4 was also observed in Egypt [28,29]. In Brazil, resistance surveillance programs have reported KPC-producing ST16 isolates and isolates harboring OXA-370 [15,30,31,32].
ST16 has become a worrisome clone to public health but a comprehensive phylogenetic study of ST16, including geographically, clinically and temporally diverse isolates is not available. In this work, we provide an in-depth genomic analysis of ST16 isolates and we propose an extensive genomic comparison between ST16 and the well-known high-risk clone ST11. ST11 is a diverse clade from which ST258 derived by recombination. ST11 represents ~12% of carbapenem-resistant K. pneumoniae across Europe and is much more broadly distributed than ST258 or ST512.

2. Materials and Methods

2.1. K. pneumoniae ST16 Genomes

All genome sequences (complete genomes, contigs, scaffolds, or chromosome level genome sequences) of K. pneumoniae publicly available at the Genbank (https://www.ncbi.nlm.nih.gov/assembly, accessed on 5 May 2022) were considered for this study. This dataset consisted of 1434 complete genomes, 196 chromosome level genomes, 30,000 contigs and 5782 scaffolds. Associated metadata (date of isolation, host, and geographic location) were collected from NCBI (https://www.ncbi.nlm.nih.gov, accessed on 5 May 2022) when available. All 37,412 selected sequences were submitted to in silico Multilocus Sequence Typing (MLST) (https://github.com/tseemann/mlst, created by Torsten Seemann, Victoria, Melbourne, Australia, accessed on 5 May 2022) for the identification of ST16 isolates. This script implements the Pasteur Institute MLST scheme for K. pneumoniae [33]. In total, 2.3% (861/37412) sequences from GenBank were considered ST16 and included in this work.
A second set of 454 K. pneumoniae genomes from Pathogenwatch (https://pathogen.watch/, accessed on 10 May 2022) were available in May 2022, and recently described by Argimón et al. [10]. When genomes were found in both Pathogenwatch and Genbank, only the Genbank genome was maintained, and 96 genomes available only in Pathogenwatch were kept for this study.
In summary, 957 ST16 K. pneumoniae genome sequences were analyzed in this study.

2.2. In Silico K:O Typing

Capsule polysaccharide (K-type) and lipopolysaccharide (O-type) serotypes were determined using Kleborate v2.2.0 (https://github.com/katholt/Kleborate, created by Ryan Wick, Victoria, Melbourne, Australia, accessed on 5 May 2022) using default parameters with confidence levels of “good” or above [34,35].

2.3. Resistome, Virulome and Mobilome

The resistome was determined using the NCBI Antimicrobial Resistance Gene Finder Plus (AMRFinderPlus) v.3.10.24 (https://github.com/ncbi/amr, created by Michael Feldgarden, Bethesda, Maryland, United States, accessed on 5 May 2022) with the database “Core” and “Plus”, and the microorganism Klebsiella as previously described [36]. The resistome data was used to evaluate changes in resistance patterns during the studied period. Results are shown in percentages representing the number of AMR genes or AMR gene variants identified per year over the total number of AMR genes or AMR gene variants identified in all ST16 genomes. Additionally, Kleborate v2.2.0 (https://github.com/katholt/Kleborate, created by Ryan Wick, Victoria, Melbourne, Australia, accessed on 5 May 2022) was used to determine the following resistance scores to ST16 isolates: 0 = no ESBL or carbapenemase; 1 = ESBL without carbapenemase (regardless of colistin resistance); 2 = carbapenamase without colistin resistance (regardless of ESBL); 3 = carbapenemase with colistin resistance (regardless of ESBL).
The ABRIcate v.1.0.1 tool (https://github.com/tseemann/abricate/, created by Torsten Seemann, Melbourne, Australia, accessed on 5 May 2022) was used for the identification of virulence genes and plasmid incompatibility groups through the screening of the virulence database VFDB and PlasmidFinder, respectively [37,38]. Genes were considered present if there was 90% coverage at 90% nucleotide identity [14,39].
As a complementary approach, Kleborate v2.2.0 identified integrating conjugative elements (ICEKp), iuc (aerobactin), iro (salmochelin), the genotoxin locus clb (colibactin), and plasmid-associated virulence loci [34]. Virulence scores were assigned using Kleborate v2.2.0 (https://github.com/katholt/Kleborate, created by Ryan Wick, Victoria, Melbourne, Australia, accessed on 5 May 2022) based on the presence of ybt, clb and iuc (Score 0 = none present; 1 = ybt only; 2 = clb without iuc (regardless of ybt;); 3 = iuc only; 4 = iuc and ybt without clb; and 5 = all three genes present).
Mobile Genetic Elements (MGEs) were identified using MobileElementFinder v1.0.5 default parameters available at (https://pypi.org/project/MobileElementFinder/, created by Markus Johansson, Lyngby, Denmark, accessed on 5 May 2022) [40].
Finally, AMR-virulence convergence in ST16 was analyzed based on resistance and virulence scores (convergence defined as virulence score ≥3 and resistance score ≥1) generated using Kleborate as described by Lam et al. [15].

2.4. Pan Genome Analysis

All 957 ST16 K. pneumoniae genomes were annotated using prokaryotic genome annotation pipeline, with default parameters Prokka v1.14.6 [41]. Roary v3.13.0 was used to generate the pan genome profile with a 95% BLAST v2.10.1 identity threshold using the MAFFT v7.475 (https://mafft.cbrc.jp/alignment/software/, created by Kazutaka Katoh, Suita, Osaka, Japan, accessed on 5 May 2022) setting. The core genome was defined as “genes present in at least 99% of genomes” using the 957 gff3 files obtained with Prokka v1.14.6 as previuously described [42]. Recombination sequences were identified and removed from the global core genome alignment with fastGEAR software v.1.0 (https://users.ics.aalto.fi/~pemartti/fastGEAR/, created by Rafal Mostowy, London, United Kingdom, accessed on 5 May 2022) [43,44]. Snp-dists (https://github.com/tseemann/snp-dists, created by Torsten Seemann, Melbourne, Australia, accessed on 5 May 2022) was used to create a pairwise SNP distance matrix from the core gene alignment. The median nucleotide divergence of core genes analyzed was calculated by taking median pairwise SNP differences and dividing by total length of the core genome minus ambiguous characters [45]. IQ-TREE-v2.2.0 (http://www.iqtree.org/, created by Bui Quang Minh, Vienna, Austria, accessed on 5 May 2022) was used to create a Maximum likelihood based on the core genome defined using Roary [46]. ModelFinder identified the best nucleotide substitution (GTR+F+I+I+R5 model with a rate heterogeneity ‘FreeRate’ (http://www.iqtree.org/, created by Subha Kalyaanamoorthy, Edmonton, Alberta, Canada, accessed on 5 May 2022) [47]. Bootstrapping was done 1000 times with ultrafast bootstrap (UFBoot) (http://www.iqtree.org/, created by Diep Thi Hoang, Hanoi, Vietnam, accessed on 5 May 2022). The tree was visualized using Microreact v.218 (https://microreact.org/, created by Silvia Argimón, Hinxton CB10 1SA, United Kingdom, accessed on 5 May 2022) [48].

2.5. Genome Comparison of ST16 and ST11 K. pneumoniae

Due to the clinical importance and worldwide spread of ST11, we compared the genomic characteristics of ST11 and ST16 K. pneumoniae genomes. The 1247 ST11 genomes recently analyzed by Argimón et al. [10] (ciab784_suppl_Supplementary_Table_3 and ciab784_suppl_Supplementary_Table_6) and all ST16 genomes selected in this study were used for these comparisons.

3. Results

3.1. Characterization of ST16 Dataset

ST16 isolates analyzed in this study were mostly collected from human hosts over a period of 19 years (2003 to 2022) worldwide: Asia (468/957; 48.9%), North America (206/957; 21.53%), Europe (138/957; 14.42%), South America (51/957; 5.33%), Oceania (44/957; 4.6%), Africa (4/957; 0.42%) and Central America (1/957; 0.1%) (Figure 1).

3.2. Antimicrobial Resistance (AMR) Genes in ST16 K. pneumoniae Genomes

AMR genes identified in ST16 isolates were associated with resistance to the following 13 classes of antimicrobials: aminoglycoside, beta-lactam, colistin, quinolone, bleomycin, fosfomycin, macrolide, phenicol, rifamycin, streptothricin, sulfonamide, tetracycline and trimethoprim (Table S1). Most ST16 isolates carried genes associated with carbapenem resistance (734/957; 76.69%), extended-spectrum beta-lactamase (ESBL) genes (956/957; 99.89%), or both (733/957; 76.59%). Few isolates carried no genes associated with carbapenem resistance (223/957; 23.30%), and only one isolate carried no ESBL gene (1/957; 0.10%).
Currently, K. pneumoniae shows high resistance to beta-lactam antibiotics, fluoroquinolones and aminoglycosides [49,50,51], and mobilized colistin resistance (MCR) genes are becoming an important health care threat [52]. For these reasons, we highlight AMR genes conferring resistance to these four classes of antimicrobials. Thirty one different genes associated with aminoglycoside susceptibility were identified, with aadA2 (693/957; 72.41%), aac(6′)-Ib-cr5 (419/957; 43.78%), aac(6′)-Ib (364/957; 38.03%), aadA1 (328/957; 34.27%) and aph(3′)-Ia (225/957; 23.51%) being the most commonly found. Noteworthy was the presence of genes related to enzymatic target site modification by 16S rRNA methyltransferases (RMTs), rmtB1 (77/957; 8.04%) and rmtF1 (50/957; 5.22%), and the aminoglycoside-modifying enzyme armA (16/957; 1.67%), leading to higher drug resistance levels [53]. Concerning resistance to β-lactam antibiotics, including ESBL, 48 different genes were identified. The blaSHV-1 gene was the most prevalent ESBL gene (919/957; 96.02%), followed by blaCTX-M-15 (821/957; 85.78%) and blaTEM-1 (646/957; 67.50%).
K. pneumoniae carbapenemase (KPC) encoding genes were identified in 11.59% of the isolates (n = 111), with blaKPC-2 (52/957; 5.43%) and blaKPC-3 (43/957; 4.49%) being the most common variants. Considering prevalence and geographical distribution, blaKPC-2 was mostly reported in Brazil (31/52; 59.61%), and blaKPC-3 was mainly found in the United States (41/43, 95.34%). Both countries accounted for 78.37% (87/111) of KPC encoding genes reported for ST16.
The New Delhi metallo-β-lactamase 1 (NDM-1) was identified in 37.90% of the isolates (334/957), most of which were from Thailand (275/334; 88.33%). The blaOXA-1 β-lactamase gene (class D) was detected in 40.33% (386/957) of the isolates. Additionally, 8.35% (80/957) of the 957 genomes carried the blaOXA−48 gene, mostly reported in the Netherlands (19/80; 23.75%), Singapore (13/80; 16.25%), Spain (13/80; 16.25%) and Turkey (11/80; 13.75%). Other carbapenemase encoding genes, such as blaKPC-14, blaNDM-4, blaNDM-5, blaNDM-7, blaVIM-1, blaIMP-1 and blaIMP-6 were also detected (Table S1).
Fluoroquinolone resistance genes belonging to the core genome were identified in almost all ST16 K. pneumoniae genomes: oqxA (949/957; 99.16%) and oqxB32 (916/957; 95.71%) [54]. However, acquired resistance to fluoroquinolone was represented mostly by qnrS1 (97/957; 10.13%), qnrB1 (45/957; 4.70%) and qnrB6 (36/957; 3.76%). These genes may be carried by plasmids [55,56,57].
Finally, MCR encoding genes were identified in 0.73% (7/957) of ST16 K. pneumoniae genomes and reported only in Asia and Europe: the mcr-1 gene in Thailand (4/5; 80%) and Vietnam (1/5; 20%), and mcr-9 in Romania (2/2; 100%).
In order to understand how AMR genes are distributed in ST16 isolates worldwide, and if resistance patterns changed in time, we analyzed 912 isolates for which information about the location for sampling was available. A heatmap illustrating the number of antimicrobial resistance genes found per location is presented in Figure 2. According to reported data, the average of number of AMR genes was lower in Pakistan and Hong Kong (≤10) and higher numbers were found in Myanmar, Denmark and Honduras (>20) (Figure 2). For a total of 853 genomes (89.13%) the year of isolation was available, the first ST16 genome having been reported in 2003 and the last one in 2022. A diverse set of AMR genes (Figure 3A) and a significant increase in maximum AMR gene numbers per genome per year were observed (p < 0.0001, R2 = 0.7740) (Figure 3B). On the other hand, the maximum number of virulence genes per genome did not increase over time (R2 = 0.3472) (Figure 3C).

3.3. Plasmid Incompatibility Groups and Transposons

Fifty-nine different plasmid incompatibility groups were detected, with almost 100% of isolates harboring at least one of such structures (949 out of 957 isolates). The most common Inc groups were Col(pHAD28) (673/949; 70.91%), Col440II (971/949; 70.70%), IncFIB(K) (443/949; 46.68%), IncFIA (375/949; 39.51%), ColKP3 (373/949; 39.30%), IncFIB(AP001918) (370/949; 39.98%), Col440I (359/949; 37.82%) and IncFIB(pQil) (355/949; 37.40%) (Figure 4).
Tn4401 is the most common transposon associated with KPC encoding genes [58,59]. In ST16 isolates harboring KPC encoding genes (111/957; 11.59%) transposons Tn4401-like was found in almost every isolate (106/111; 95.49%). NTE (non-Tn4401) group NTEKPC-Inc were found in two isolates, and the other three genomes harbored structures that could not be characterized (Tn3-Tn3-IS481(ISKpn7)-KPC-ISKpn6 (n = 1), KPC-IS1182 family transposase (n = 1), and ISKpn6-KPC-IS21-IS21 (n = 1).

3.4. Virulence Factors and Heavy Metal Resistance

Capsular polysaccharide (K antigen) and lipopolysaccharide (O antigen) are important virulence factors in K. pneumoniae, with clinical and epidemiological importance including the identification of hypervirulent strains [54,60]. More than 138 combinations of K-locus are currently known [54]. In this study, 10 different K-types were identified (Table S2), with KL51 being the most prevalent (759/957; 79.31%). Six different O-types were found, with O3b as the most prevalent (886/957; 92.58%) (Table S2).
Chromosomally inserted ICEKp with an associated yersiniabactin gene (ybt) cluster, known to contribute to hypervirulence [4,45], was found in 63.21% (605/957) of the isolates (Table S2). Seven distinct types of ICEKp were identified (Figure 5), the most commonly found ICEKp was ICEKp3-ybt9 (460/605; 76.03%), followed by ICEKp4-ybt10 (119/605; 19.66%). In this dataset ICEKp was first identified in an isolate from 2012 (Figure 5). ICEKp was mostly identified in isolates from Thailand, between 2014 and 2018, corresponding to 54.04% (327/605) ICEKp-harboring isolates. Even though this country contributed with 34.90% (334/957) of the isolates included in this study, this high prevalence is very different from results from the United States which contributed with the second highest number of isolates (198/957); only 4.70% (45/198) of isolates from this country harbored ICEKp.
A combination of ICEKp10 and of colibactin (clb3), which induces DNA damage in eukaryotic cells [54], was detected in four genomes, two of them isolated in the United States and two in Brazil. Besides clb3, other markers of hypervirulence were detected in ST16 genomes: rmpADC and/or rmpA2 in 11 genomes (1.14%), aerobactin in 26 genomes (2.71%), and salmochelin in 2 genomes (0.20%).
AMR and virulence genes used to be segregated in non-overlapping K. pneumoniae populations, but recent reports highlight the convergence of AMR-virulent strains which have the potential to cause difficult-to-treat infections [34]. In 25 genomes evaluated in this study, AMR-virulence convergence was detected, a result that highlights the need to monitor the dissemination of ST16, especially in Australia, India and the United States, where these isolates were reported.
Resistance to heavy metal may contribute to the selection and dissemination of MDR strain [61]. Genes associated with heavy metal resistance were identified in 50.47% of isolates (483/957) (Table S3), the most prevalent ones being operon pcoABCDERS, associated with resistance to copper [62], detected in 44.30% of isolates (424/957), and silABCEFPRS, associated with resistance to silver [63], and detected in 43.57% of isolates (417/957). Other important findings were: genes associated with resistance to arsenic (436/957; 45.55%) including arsenical pump-driving ATPase (arsA), and arsB, arsC, arsD, arsR [64], resistance to mercury (mer) (81/957; 8.46%) [65], tellurium resistance (ter) (25/957; 2.61%) and nickel resistance (ncrABY) (13/957; 1.35%). Despite the fact that Thailand contributed with the highest number of genomes to this study (334/957; 34.90%), only 6.88% (23/334) of them carried genes associated with resistance to heavy metal; contrasting with the United States, the second country in number of isolates (198), of which 80.80% (160/198) harbored at least 1 gene associated with resistance to heavy metal.

3.5. Genetic Diversity of ST16 Genomes

Considering the 957 ST16 isolates analyzed in this study, the pan genome consisted of 29,510 genes, of which 3761 (12.74%) made up the core genome (i.e., genes found in 99% of full genomes). The accessory genome, 25,749 genes, consisted of 23,601 uncommon genes, present in ≤15% of the isolates (cloud genes) and 1495 shell genes, present in <95% of the isolates.
Normalized polymorphism counts were used as a measure of genetic variation within the population, and we found the overall species median nucleotide divergence to be 0.003356% (median pairwise single nucleotide polymorphism [SNP] difference = 87 SNPs), suggesting that less than one percent of the core genome nucleotide sites were variant sites. This nucleotide diversity is comparable to previously shown measures of genetic variation of core genome alignment of K. pneumoniae clonal group CG23 [66].
In order to determine the phylogeny of the 957 ST16 isolates, a maximum-likelihood tree was inferred from the aligned core genomes by roary (Figure 6, which is also available for interactive viewing at https://microreact.org/project/drXbkjrfrVUP6TiEQAVh7r-tree-phylogenetic-kp-st16, accessed on 5 May 2022. Two major groups were identified, one consisting of 47.23% (452/957) of the isolates (Figure 6, which is also available for interactive viewing at https://microreact.org/project/56YFd6ALYc1eLHMzjX6wJa-tree-phylogenetic-kp-st16-group-1, accessed on 5 May 2022), and one by 35.94% (344/957) (Figure 6, which is also available for interactive viewing at https://microreact.org/project/kFHeSw2Qr9cecxdgX7oSnt-tree-phylogenetic-kp-st16-group-2, accessed on 5 May 2022). The first group included isolates from 37 of the 40 countries that reported ST16 isolates, contrasting with the second group that depicted isolates from only 8 countries. The majority of samples from the second group originated from Thailand (89.53% [308/344]), corresponding to 92.21% (308/334) of the genomes reported by this country.
ICEKp was detected in 30.75% (139/452) of isolates from group 1, where the most diversity of ICEKp was also found (ICEKp 1, 2, 3, 4, 10, and 12); only ICEKp11 was not found in this group (Figure 6, which is also available for interactive viewing at https://microreact.org/project/qrmdyoehcemjUDndtbnE4A-tree-phylogenetic-kp-st16-icekp-type, accessed on 5 May 2022), but ICEKp11 was identified in a single isolate from Australia (2019), and this isolate did not cluster in either of the two groups.
Due to the over-representation of isolates from Thailand in group 2 (92.21%, 308/334 isolates) we investigated their origin in more detail. The genomes derive from 8 distinct NCBI Bioprojects (PRJNA389557, PRJNA414481, PRJNA497260, PRJNA532291, PRJNA717739, PRJDB5929, PRJNA644880 and PRJEB19226), 75% of them were reported in Bangkok between 2015 and 2018. The second largest dataset came from the province of Surat Thani (10.38%, 32/308 isolates). Taken together, the data suggest that isolates from Thailand do not correspond to a restricted location and represent the diversity of ST16 found in the country.
A total of 161 isolates did not cluster within groups 1 or 2. Interestingly, 72.04% (116/161) of these isolates carried ICEKp4, and this structure was only found in three isolates (3/452) belonging to group 1. Even though all these 116 isolates harbored ICEKp4, the isolates were significantly distinct in their core genome, distributed in 5 continents (Asia, Central America, Europe, North America and Oceania), and found in a total of 18 countries between 2012 and 2020.

3.6. Major Similarities and Differences between ST16 and ST11

Carbapenem resistance among ST11 isolates is usually associated with the dissemination of the blaKPC-2 gene [10,14,32,67,68]. Here, ST16 isolates were also found to carry the blaKPC (111/957; 11.59%), with blaKPC-2 (52/957; 5.43%) and blaKPC-3 (43/957; 4.49%) being the most frequently found variants. However, blaNDM-1 was the most prevalent variant among ST16 isolates (334/957; 37.90%) (Table 1), differently from previous reports for ST11 (4.67–15.1%) [10,14].
The most common gene encoding a carbapenemase among ST16 isolates was blaOXA-232, present in 38.24% of ST16 isolates (Table 1). The blaOXA-232 gene was found in ST16 isolates from 13 countries (Thailand, Unknown, Australia, UK, USA, Netherlands, France, Canada, India, Switzerland, Italy, Qatar, Sri Lanka and Turkey), but most frequently found in isolates from Thailand (81.96%) (300 out of 366 isolates from Thailand carried this gene). Due to the high contribution of isolates from Thailand, we reevaluated the data considering only isolates from the other 12 locations, finding that 10.04% of the remaining ST16 isolates (66/657) carried blaOXA-232. Argimón et al. [10] found blaOXA-232 in 2.16% (27/1247) of the evaluated ST11 isolates, mostly reported in Oman (18/27; 66.66%), Thailand (8/27; 29.62%) and India (1/27; 3.70%).
CTX-M-15 is the most prevalent ESBL type in Europe, having also been found in North America and Asia more recently [14]. This gene was detected in 85.78% of the ST16 isolates (Table 1), against 12.08 to 41.9% reported for ST11 [10,14]. On the other hand, blaCTX-M-65 is prevalent in ST11 isolates (28.9 to 59.61%) [10,14], but not found in ST16 isolates (Table S1). OXA-48 was similarly found in both STs, in 12.5% of ST11 [10] and 8.35% of ST16 (Table 1). In our study, blaOXA-1 was found in 40.33% ST16 (Table S1), against 12.08% reported for ST11 [14].
CPS is a key virulence determinant in K. pneumoniae [14,69]. Twenty-eight different K-types have been described for ST11 isolates (Table 1), with four predominant K-types (KL105, KL24, KL47 and KL64) [10]. This characteristic contrasts with a single K-type (KL51) seen in 80% of ST16 isolates (Table 1). Similarly, three major O-types (O2v1, O2v2, OL101) have been described for ST11 [10], while over 90% of O-types in ST16 were O3b (Table 1).
Yersiniabactin was one of the most common virulence-associated factors detected in both strains, 83.80% in ST11 [10] and 63.21% for ST16, both also sharing ICEKp3 e ICEKp4 as the most prevalent (Table 1). Aerobactin, salmochelin, rmpADC and rmpA2 were found in isolates reported in China: aerobactin (n = 35), salmochelin (n = 1), rmpADC (n = 10) and rmpA2 (n = 31) [10]. These markers are, however, more widespread among ST16 isolates: aerobactin (n = 26) reported in Australia (n = 9), United States (n = 16) and India (n = 1); salmochelin (n = 2) reported in the United States (n = 1) and one of unknown origin (n = 1); rmpADC (n = 10) reported in Australia (n = 9) and the United States (n = 1); and rmpA2 (n = 6) reported in Australia (n = 5) and India (n = 1) (Table S2).
Kleborate virulence scores capture the hierarchy of virulence-associated loci that have emerged over the last two decades according to the literature [34]. The score considers the presence of ybt, clb and iuc, and is interpreted as follows: score 0 = none present, 1 = yersiniabactin only, 2 = colibactin without aerobactin (regardless of yersiniabactin, however, ybt is almost always present when clb is), 3 = aerobactin only, 4 = aerobactin and yersiniabactin without colibactin, and 5 = all three present. Yersiniabactin facilitates immune escape and has been shown to increase virulence in various strains [34,70]. The presence of the genotoxin clb together with ybt may increase virulence due to clb’s genotoxic activity in mammalian cells [34,71], but limited evidence indicates increased virulence in the absence of the virulence plasmid [34]. The iuc is related to sepsis since it promotes bacterial growth in blood via the acquisition of iron from transferrin [34,72,73]. Taken together, there is limited data assessing the individual contributions of ybt, clb and the virulence plasmid when present in combination, but it is logical to score iuc + ybt with higher virulence than iuc without ybt [34]. The combination of iuc (virulence plasmid) + ybt + clb as the highest score, is associated with hypervirulent strains in liver abscesses documented worldwide (CG23-I) [34]. Kleborate showed similar results for ST11 and ST16, although more ST11 isolates showed Score 2 (7.1%) and isolates showed Score 4 (2.8%) (Figure 7A).
The resistome of ST16 is also alarmingly similar to ST11, as confirmed by the Kleborate score (Figure 7B), although more ST16 isolates belonged to Score 1 (ESBL+ and Carb-) (see Section 2.“Material and Methods”) when compared to ST11.
Kleborate resistance scores do not include the presence of intrinsic variants of oqxAB, chromosomal fosA and ampH since they are not associated with clinical resistance in K. pneumoniae species complex (KpSC) [34].

4. Discussion

K. pneumoniae belonging to ST16 is an important emergent lineage that can carry determinants to carbapenem resistance and is believed to have an enhanced virulence potential, as observed by patient survival analysis and in vitro studies [15,16,74].
According to the core SNP analysis of 957 ST16 genomes, two major groups comprised over 80% of all reported isolates (796/957; 83.17%), with the major group including globally distributed isolates reported in Africa, Asia, Europe, North America, South America and Oceania.
This study showed a significant increase in the maximum number of AMR genes in a genome per year (Figure 3B; p < 0.0001), a finding that highlights the importance of monitoring the emergence of extremely drug-resistant (XDR) ST16 isolates, already reported in several locations with distinct antimicrobial resistance profiles and clear evidence of horizontal gene transfers [19,20,75,76,77]. Forty-eight different AMR genes associated with resistance to β-lactam antibiotics, including ESBL, were identified, with a drastic increase in the number of AMR genes per genome since 2012: between 2003 and 2011, four to eight AMR genes or gene variants were found; and between 2012 and 2021, 11 to 28 AMR genes or variants associated with resistance to β-lactam antibiotics, including ESBL, were identified. These finding demonstrate that ST16 isolates have been acquiring different AMR genes and that many of these genes are now widespread among ST16 isolates. The increasing incidence of ESBL and carbapenem resistant of ST16 isolates, coupled with their increasing global distribution, also emphasizes their potential contribution for rapid dissemination of AMR genes to other highly-virulent pathogens [78].
A similar scenario was observed for aminoglycosides, with numbers between 2003 and 2011 varying from two to six genes or variants, and between 2012 and 2021 increasing to 10-18. Thirty-one genes associated with this type of resistance were found, the most common being aac(6′)-Ib-cr5 encoding an aminoglycoside acetyltransferase that also has activity against fluoroquinolones [79,80]. The aac(3)-IVa (n = 10 genomes) and aph(4)-Ia (n = 10 genomes) were identified exclusively in the United States. For quinolones, there was no significant increase in the number of AMR in time, with two to nine genes or variants identified per genome per year during the studied period. Noteworthy was the presence of qnrE1, reported in five isolates from Brazil in 2018. This gene was originally found in a conjugative plasmid in a clinical K. pneumoniae isolate [81]. Also noteworthy are reports of qnrB1 since 2012 in 13 countries but mostly prevalent in the United States (18/45; 40%), and qnrS1, reported since 2013 in 19 different countries but most prevalent in the United States, Australia and Thailand (19/97; 19.58%), (17/97; 17.52%) and (14/97; 14.43%), respectively. Both genes have been found in plasmids [55,56].
The contribution of horizontal gene transfer to the spread of AMR genes could be clearly illustrated by the widespread distribution of ICEKp and plasmids. Seven types of ICEKp (1, 2, 3, 4, 10, 11 and 12) were identified, found in 63.21% (605/957) of the evaluated isolates, similar to a previous report that found ICEKp in 61.04% of the evaluated ST16 genomes [10].
A direct link between AMR genes and plasmids is not always possible with short-read assemblies, but their central role in the dissemination of AMR genes, and importance for epidemiological discussions, is well known [10,82,83]. The two plasmid replicons were widespread in the United States and identified exclusively in this country: FII(pBK30683) (n = 17) and pKPC-CAV1193 (n = 37). The analysis of 334 ST16 isolates from Thailand identified replicons ColKP3 and IncFIA/B, present in 90.11% (301/334) and 92.21% (308/334) of isolates, respectively, corroborating with findings by Abe et al. [84]. These replicons have been associated with the dissemination of blaNDM-1 and blaOXA-232 in Thailand and Canada [84], and ColKP3-harboring blaOXA-232 was also reported by Argimón et al. [10,85]. K. pneumoniae ST16 co-carrying blaNDM-1 and blaOXA-232 is considered a successful clone in Thailand, a characteristic they fund to be exclusive to ST16 isolates among 43 STs classifying 577 carbapenem-resistant K. pneumoniae isolates in a nationwide surveillance study carried out in the country [86]. Here, we found 286 isolates carrying this combination of genes, 90.20% of which (258/286) were from Thailand.
KPC-encoding genes are often found in transposons, with Tn4401 being the most prominent transposon type associated with KPC-2 [58]. Accordingly, 95.49% (106/111) of isolates that carried KPC in this study also harbored a Tn4401-like transposon. KPC was mostly detected in Brazil and the United States, which together accounted for 78.37% (87/111) of cases. The first report of an ST16 isolate in Brazil harboring KPC-2 occurred in 2008 [30]. Since then, this clone has been often associated with KPC-2, nowadays endemic both in Brazil and the United States [15,16,32,68,87]. The inconsistent carriage of KPC-2 within the ST16 clone suggests the KPC enzyme was acquired through the horizontal transfer of plasmids after the divergence of the ST16 lineage rather than vertical gene transfer among the entire lineage [60].
Differently from AMR genes, the number of virulence genes detected per genome did not increase in the studied period (Figure 3C; R squared = 0.3472). Numerous genetic factors contribute to the ability of K. pneumoniae strains to cause disease in humans [54], and we found genomic features that may provide ST16 with an advantage for adaptation within a hospital environment: (1) the majority of ST16 isolates harbored wzi50 (887/957; 92.68%), a characteristic associated with increased virulence [74], (2) ST16 shared various virulence-determinant genes (ybt-irp-fyuA, entA-F, fimA-H, mrkA-J, clb3 and KL51 type for CPS), (3) hypervirulence markers such as aerobactin, salmochelin, rmpADC and rmpA2, and (4) the locus ybt within ICEKp, a virulence factor that directly influences the pathogenicity of K. pneumoniae [4,34,70].
K. pneumoniae isolates may belong to high-risk clonal groups: hyper-virulent clonal complexes (CCs), mostly responsible for community-acquired invasive infections, and multidrug-resistant CCs, mostly involved in health-care associated infections [60,88,89]. The majority of ST16 isolates investigated here belong to multidrug-resistant CCs, in agreement with previous reports [17,19,76]. Worth noting is that recent studies have shown increased mortality associated with ST16 but have not found specific characteristics of ST16 that justified this association [15,17]. Our results corroborate with these reports since less than 3% of ST16 harbored markers of hyper-virulence, highlighting the need for a deeper understanding of genetic features of ST16.
Finally, due to the clinical importance of K. pneumoniae clone ST11 [14,34], we investigated similarities and differences between ST16 and ST11. CPS and LPS O antigen is a key virulence determinant in K. pneumoniae. The great diversity of CPS and adjacent LPS O antigen of ST11 is associated with a recombination hotspot at the biosynthesis loci [29,90,91]. In ST16 strains, this hotspot in the biosynthesis loci has not been described, and the ST16 isolates investigated here showed a reduced variability of CPS and LPS, withKL51 and O3b the predominant serotypes.
Although ST11 and ST16 showed similar virulence scores, ST11 has been more studied and associated with hyper-virulence, such as the ST11-KL64 strain reported in China, carrying rmpA/rmpA2, iucABCD and iutA genes [29]. Given the global success of ST11 and similarities with ST16 in terms of virulence and antibiotic resistance, this emerging clone has the potential to become a global epidemic dual-risk clone and a major public health threat.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/pathogens11121394/s1, Table S1: Antimicrobial resistance (AMR) genes identified in the ST16 genomes of Klebsiella pneumoniae; Table S2: Kleborate results for typing Klebsiella pneumoniae ST16 genomes; Table S3: Metal resistance genes identified in Klebsiella pneumoniae ST16 genomes.

Author Contributions

Conceptualization: R.O.d.S., L.B.M. and P.S.; methodology: R.O.d.S., L.L., L.B.M. and P.S.; formal analysis: R.O.d.S.; writing—original draft preparation: R.O.d.S., L.L. and P.S.; writing—review and editing: P.S.; supervision and funding acquisition: P.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fundaçao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) grant number 2018/19243-4, R.O.d.S. is supported by FAPESP grant number 2022/03596-0, L.L. is a post-doctoral fellow supported by Sociedade Beneficente Israelita Brasileira Albert Einstein (SBIBAE), L.B.M. was supported by a CAPES fellowship.

Institutional Review Board Statement

This work has been approved by the Institutional Review Board.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable here.

Acknowledgments

The authors thank the Clinical Laboratory team and the Infection Control team for their consistent support and fruitful discussions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Centers for Disease Control and Prevention (CDC). Antibiotic Resistance Threats in the United States. United States CDC (U.S). 2019. Available online: www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf (accessed on 22 November 2021).
  2. Martin, R.M.; Bachman, M.A. Colonization, Infection, and the Accessory Genome of Klebsiella pneumoniae. Front. Cell. Infect. Microbiol. 2018, 8, 4. [Google Scholar] [CrossRef] [Green Version]
  3. Holt, K.E.; Wertheim, H.; Zadoks, R.N.; Baker, S.; Whitehouse, C.A.; Dance, D.; Jenney, A.; Connor, T.R.; Hsu, L.Y.; Severin, J.; et al. Genomic analysis of diversity, population structure, virulence, and antimicrobial resistance in Klebsiella pneumoniae, an urgent threat to public health. Proc. Natl. Acad. Sci. USA 2015, 112, E3574–E3581. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Lam, M.M.C.; Wick, R.R.; Wyres, K.L.; Gorrie, C.L.; Judd, L.M.; Jenney, A.W.J.; Brisse, S.; Holt, K.E. Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations. Microb. Genom. 2018, 4. [Google Scholar] [CrossRef] [PubMed]
  5. Wang, G.; Zhao, G.; Chao, X.; Xie, L.; Wang, H. The Characteristic of Virulence, Biofilm and Antibiotic Resistance of Klebsiella pneumoniae. Int. J. Environ. Res. Public Health 2020, 17, 6278. [Google Scholar] [CrossRef]
  6. Broberg, C.A.; Palacios, M.; Miller, V.L. Klebsiella: A long way to go towards understanding this enigmatic jet-setter. F1000prime Rep. 2014, 6, 64. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Gu, D.; Dong, N.; Zheng, Z.; Lin, D.; Huang, M.; Wang, L.; Chan, E.W.-C.; Shu, L.; Yu, J.; Zhang, R.; et al. A fatal outbreak of ST11 carbapenem-resistant hypervirulent Klebsiella pneumoniae in a Chinese hospital: A molecular epidemiological study. Lancet Infect. Dis. 2018, 18, 37–46. [Google Scholar] [CrossRef]
  8. Nordmann, P.; Dortet, L.; Poirel, L. Carbapenem resistance in Enterobacteriaceae: Here is the storm! Trends Mol. Med. 2012, 18, 263–272. [Google Scholar] [CrossRef]
  9. Queenan, A.M.; Bush, K. Carbapenemases: The versatile beta-lactamases. Clin. Microbiol. Rev. 2007, 20, 440–458. [Google Scholar] [CrossRef] [Green Version]
  10. Argimón, S.; David, S.; Underwood, A.; Abrudan, M.; Wheeler, N.E.; Kekre, M.; Abudahab, K.; Yeats, C.A.; Goater, R.; Taylor, B.; et al. Rapid Genomic Characterization and Global Surveillance of Klebsiella Using Pathogenwatch. Clin. Infect. Dis. 2021, 73, S325–S335. [Google Scholar] [CrossRef]
  11. Munoz-Price, L.S.; Poirel, L.; Bonomo, R.A.; Schwaber, M.J.; Daikos, G.L.; Cormican, M.; Cornaglia, G.; Garau, J.; Gniadkowski, M.; Hayden, M.K.; et al. Clinical epidemiology of the global expansion of Klebsiella pneumoniae carbapenemases. Lancet Infect. Dis. 2013, 13, 785–796. [Google Scholar] [CrossRef]
  12. Bi, W.; Liu, H.; Dunstan, R.A.; Li, B.; Torres, V.V.L.; Cao, J.; Chen, L.; Wilksch, J.J.; Strugnell, R.A.; Lithgow, T.; et al. Extensively Drug-Resistant Klebsiella pneumoniae Causing Nosocomial Bloodstream Infections in China: Molecular Investigation of Antibiotic Resistance Determinants, Informing Therapy, and Clinical Outcomes. Front. Microbiol. 2017, 8, 1230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Bialek-Davenet, S.; Criscuolo, A.; Ailloud, F.; Passet, V.; Jones, L.; Delannoy-Vieillard, A.S.; Garin, B.; Le Hello, S.; Arlet, G.; Nicolas-Chanoine, M.H.; et al. Genomic definition of hypervirulent and multidrug-resistant Klebsiella pneumoniae clonal groups. Emerg. Infect. Dis. 2014, 20, 1812–1820. [Google Scholar] [CrossRef] [PubMed]
  14. Zhao, J.; Liu, C.; Liu, Y.; Zhang, Y.; Xiong, Z.; Fan, Y.; Zou, X.; Lu, B.; Cao, B. Genomic characteristics of clinically important ST11 Klebsiella pneumoniae strains worldwide. J. Glob. Antimicrob. Resist. 2020, 22, 519–526. [Google Scholar] [CrossRef] [PubMed]
  15. Andrey, D.O.; Dantas, P.P.; Martins, W.B.S.; Marques De Carvalho, F.; Almeida, L.G.P.; Sands, K.; Portal, E.; Sauser, J.; Cayô, R.; Nicolas, M.F.; et al. An Emerging Clone, Klebsiellapneumoniae Carbapenemase 2-Producing K. pneumoniae Sequence Type 16, Associated With High Mortality Rates in a CC258-Endemic Setting. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2020, 71, e141–e150. [Google Scholar] [CrossRef]
  16. Boff, L.; de Sousa Duarte, H.; Kraychete, G.B.; de Castro Santos, M.G.; Vommaro, R.C.; Lima, C.O.G.X.; Lima-Morales, D.; Wink, P.L.; de Oliveira Ferreira, E.; Picao, R.C.; et al. Characterization of an emergent high-risk KPC-producing Klebsiella pneumoniae lineage causing a fatal wound infection after spine surgery. Infect. Genet. Evol. 2021, 96, 105122. [Google Scholar] [CrossRef]
  17. Nguyen, T.N.T.; Nguyen, P.L.N.; Le, N.T.Q.; Nguyen, L.P.H.; Duong, T.B.; Ho, N.D.T.; Nguyen, Q.P.N.; Pham, T.D.; Tran, A.T.; The, H.C.; et al. Emerging carbapenem-resistant Klebsiella pneumoniae sequence type 16 causing multiple outbreaks in a tertiary hospital in southern Vietnam. Microb. Genom. 2021, 7, 000519. [Google Scholar] [CrossRef]
  18. Nielsen, J.B.; Skov, M.N.; Jørgensen, R.L.; Heltberg, O.; Hansen, D.S.; Schønning, K. Identification of CTX-M15-, SHV-28-producing Klebsiella pneumoniae ST15 as an epidemic clone in the Copenhagen area using a semi-automated Rep-PCR typing assay. Eur. J. Clin. Microbiol. Infect. Dis. Off. Publ. Eur. Soc. Clin. Microbiol. 2011, 30, 773–778. [Google Scholar] [CrossRef] [Green Version]
  19. Bathoorn, E.; Rossen, J.W.; Lokate, M.; Friedrich, A.W.; Hammerum, A.M. Isolation of an NDM-5-producing ST16 Klebsiella pneumoniae from a Dutch patient without travel history abroad, August 2015. Eurosurveill 2015, 20, 30040. [Google Scholar] [CrossRef] [Green Version]
  20. Avolio, M.; Vignaroli, C.; Crapis, M.; Camporese, A. Co-production of NDM-1 and OXA-232 by ST16 Klebsiella pneumoniae, Italy, 2016. Future Med. 2017, 12, 1119–1122. [Google Scholar] [CrossRef]
  21. Marcade, G.; Brisse, S.; Bialek, S.; Marcon, E.; Leflon-Guibout, V.; Passet, V.; Moreau, R.; Nicolas-Chanoine, M.H. The emergence of multidrug-resistant Klebsiella pneumoniae of international clones ST13, ST16, ST35, ST48 and ST101 in a teaching hospital in the Paris region. Epidemiol. Infect. 2013, 141, 1705–1712. [Google Scholar] [CrossRef]
  22. Moradigaravand, D.; Martin, V.; Peacock, S.J.; Parkhill, J. Evolution and Epidemiology of Multidrug-Resistant Klebsiella pneumoniae in the United Kingdom and Ireland. mBio 2017, 8, e01976-16. [Google Scholar] [CrossRef] [Green Version]
  23. Kocsis, E.; Gužvinec, M.; Butić, I.; Krešić, S.; Crnek, S.; Tambić, A.; Cornaglia, G.; Mazzariol, A. blaNDM-1 Carriage on IncR Plasmid in Enterobacteriaceae Strains. Microb. Drug Resist. 2016, 22, 123–128. [Google Scholar] [CrossRef]
  24. Savov, E.; Politi, L.; Spanakis, N.; Trifonova, A.; Kioseva, E.; Tsakris, A. NDM-1 Hazard in the Balkan States: Evidence of the First Outbreak of NDM-1-Producing Klebsiella pneumoniae in Bulgaria. Microb. Drug Resist. 2018, 24, 253–259. [Google Scholar] [CrossRef] [PubMed]
  25. Peirano, G.; Ahmed-Bentley, J.; Fuller, J.; Rubin, J.E.; Pitout, J.D. Travel-related carbapenemase-producing Gram-negative bacteria in Alberta, Canada: The first 3 years. J. Clin. Microbiol. 2014, 52, 1575–1581. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Mulvey, M.R.; Grant, J.M.; Plewes, K.; Roscoe, D.; Boyd, D.A. New Delhi metallo-β-lactamase in Klebsiella pneumoniae and Escherichia coli, Canada. Emerg. Infect. Dis. 2011, 17, 103–106. [Google Scholar] [CrossRef]
  27. Boonyasiri, A.; Jauneikaite, E.; Brinkac, L.M.; Greco, C.; Lerdlamyong, K.; Tangkoskul, T.; Nguyen, K.; Thamlikitkul, V.; Fouts, D.E. Genomic and clinical characterisation of multidrug-resistant carbapenemase-producing ST231 and ST16 Klebsiella pneumoniae isolates colonising patients at Siriraj hospital, Bangkok, Thailand from 2015 to 2017. BMC Infect. Dis. 2021, 21, 142. [Google Scholar] [CrossRef]
  28. Tada, T.; Tsuchiya, M.; Shimada, K.; Nga, T.T.T.; Thu, L.T.A.; Phu, T.T.; Ohmagari, N.; Kirikae, T. Dissemination of Carbapenem-resistant Klebsiella pneumoniae clinical isolates with various combinations of Carbapenemases (KPC-2, NDM-1, NDM-4, and OXA-48) and 16S rRNA Methylases (RmtB and RmtC) in Vietnam. BMC Infect. Dis. 2017, 17, 467. [Google Scholar] [CrossRef] [PubMed]
  29. Zhang, B.; Hu, R.; Liang, Q.; Liang, S.; Li, Q.; Bai, J.; Ding, M.; Zhang, F.; Zhou, Y. Comparison of Two Distinct Subpopulations of Klebsiella pneumoniae ST16 Co-Occurring in a Single Patient. Microbiol. Spectr. 2022, 10, e0262421. [Google Scholar] [CrossRef]
  30. Seki, L.M.; Pereira, P.S.; de Souza, M.d.P.A.H.; Conceição, M.d.S.; Marques, E.A.; Porto, C.O.; Colnago, E.M.L.; Alves, C.d.F.M.; Gomes, D.; Assef, A.P.D.A.C.; et al. Molecular epidemiology of KPC-2- producing Klebsiella pneumoniae isolates in Brazil: The predominance of sequence type 437. Diagn. Microbiol. Infect. Dis. 2011, 70, 274–277. [Google Scholar] [CrossRef]
  31. Pereira, P.S.; Borghi, M.; de Araújo, C.F.; Aires, C.A.; Oliveira, J.C.; Asensi, M.D.; Carvalho-Assef, A.P. Clonal Dissemination of OXA-370-Producing Klebsiella pneumoniae in Rio de Janeiro, Brazil. Antimicrob. Agents Chemother. 2015, 59, 4453–4456. [Google Scholar] [CrossRef]
  32. Pereira, P.S.; de Araujo, C.F.M.; Seki, L.M.; Zahner, V.; Carvalho-Assef, A.P.D.A.; Asensi, M.D. Update of the molecular epidemiology of KPC-2-producing Klebsiella pneumoniae in Brazil: Spread of clonal complex 11 (ST11, ST437 and ST340). J. Antimicrob. Chemother. 2012, 68, 312–316. [Google Scholar] [CrossRef]
  33. Diancourt, L.; Passet, V.; Verhoef, J.; Grimont, P.A.; Brisse, S. Multilocus sequence typing of Klebsiella pneumoniae nosocomial isolates. J. Clin. Microbiol. 2005, 43, 4178–4182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Lam, M.M.C.; Wick, R.R.; Watts, S.C.; Cerdeira, L.T.; Wyres, K.L.; Holt, K.E. A genomic surveillance framework and genotyping tool for Klebsiella pneumoniae and its related species complex. Nat. Commun. 2021, 12, 4188. [Google Scholar] [CrossRef]
  35. Wyres, K.L.; Wick, R.R.; Gorrie, C.; Jenney, A.; Follador, R.; Thomson, N.R.; Holt, K.E. Identification of Klebsiella capsule synthesis loci from whole genome data. Microb. Genom. 2016, 2, e000102. [Google Scholar] [CrossRef] [PubMed]
  36. Feldgarden, M.; Brover, V.; Gonzalez-Escalona, N.; Frye, J.G.; Haendiges, J.; Haft, D.H.; Hoffmann, M.; Pettengill, J.B.; Prasad, A.B.; Tillman, G.E.; et al. AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence. Sci. Rep. 2021, 11, 12728. [Google Scholar] [CrossRef]
  37. Chen, L.; Zheng, D.; Liu, B.; Yang, J.; Jin, Q. VFDB 2016: Hierarchical and refined dataset for big data analysis—10 years on. Nucleic Acids Res. 2015, 44, D694–D697. [Google Scholar] [CrossRef] [PubMed]
  38. Carattoli, A.; Zankari, E.; García-Fernández, A.; Voldby Larsen, M.; Lund, O.; Villa, L.; Møller Aarestrup, F.; Hasman, H. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob. Agents Chemother. 2014, 58, 3895–3903. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Silveira, M.C.; Rocha-de-Souza, C.M.; de Oliveira Santos, I.C.; Pontes, L.d.S.; Oliveira, T.R.T.e.; Tavares-Teixeira, C.B.; Cossatis, N.d.A.; Pereira, N.F.; da Conceição-Neto, O.C.; da Costa, B.S.; et al. Genetic Basis of Antimicrobial Resistant Gram-Negative Bacteria Isolated From Bloodstream in Brazil. Front. Med. 2021, 8, 635206. [Google Scholar] [CrossRef]
  40. Johansson, M.H.K.; Bortolaia, V.; Tansirichaiya, S.; Aarestrup, F.M.; Roberts, A.P.; Petersen, T.N. Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder. J. Antimicrob. Chemother. 2020, 76, 101–109. [Google Scholar] [CrossRef]
  41. Seemann, T. Prokka: Rapid prokaryotic genome annotation. Bioinformatics 2014, 30, 2068–2069. [Google Scholar] [CrossRef] [Green Version]
  42. Page, A.J.; Cummins, C.A.; Hunt, M.; Wong, V.K.; Reuter, S.; Holden, M.T.G.; Fookes, M.; Falush, D.; Keane, J.A.; Parkhill, J. Roary: Rapid large-scale prokaryote pan genome analysis. Bioinformatics 2015, 31, 3691–3693. [Google Scholar] [CrossRef] [Green Version]
  43. Mostowy, R.; Croucher, N.J.; Andam, C.P.; Corander, J.; Hanage, W.P.; Marttinen, P. Efficient Inference of Recent and Ancestral Recombination within Bacterial Populations. Mol. Biol. Evol. 2017, 34, 1167–1182. [Google Scholar] [CrossRef] [Green Version]
  44. Guyomard-Rabenirina, S.; Reynaud, Y.; Pot, M.; Albina, E.; Couvin, D.; Ducat, C.; Gruel, G.; Ferdinand, S.; Legreneur, P.; Le Hello, S.; et al. Antimicrobial Resistance in Wildlife in Guadeloupe (French West Indies): Distribution of a Single blaCTX–M–1/IncI1/ST3 Plasmid Among Humans and Wild Animals. Front. Microbiol. 2020, 11, 1524. [Google Scholar] [CrossRef] [PubMed]
  45. Shropshire, W.C.; Dinh, A.Q.; Earley, M.; Komarow, L.; Panesso, D.; Rydell, K.; Gómez-Villegas, S.I.; Miao, H.; Hill, C.; Chen, L.; et al. Accessory Genomes Drive Independent Spread of Carbapenem-Resistant Klebsiella pneumoniae Clonal Groups 258 and 307 in Houston, TX. mBio 2022, 13, e00497-22. [Google Scholar] [CrossRef] [PubMed]
  46. Minh, B.Q.; Schmidt, H.A.; Chernomor, O.; Schrempf, D.; Woodhams, M.D.; von Haeseler, A.; Lanfear, R. IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era. Mol. Biol. Evol. 2020, 37, 1530–1534. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Kalyaanamoorthy, S.; Minh, B.Q.; Wong, T.K.F.; von Haeseler, A.; Jermiin, L.S. ModelFinder: Fast model selection for accurate phylogenetic estimates. Nat. Methods 2017, 14, 587–589. [Google Scholar] [CrossRef] [Green Version]
  48. Argimón, S.; Abudahab, K.; Goater, R.J.E.; Fedosejev, A.; Bhai, J.; Glasner, C.; Feil, E.J.; Holden, M.T.G.; Yeats, C.A.; Grundmann, H.; et al. Microreact: Visualizing and sharing data for genomic epidemiology and phylogeography. Microb. Genom. 2016, 2, e000093. [Google Scholar] [CrossRef] [Green Version]
  49. Fair, R.J.; Tor, Y. Antibiotics and Bacterial Resistance in the 21st Century. Perspect. Med. Chem. 2014, 6, 25–64. [Google Scholar] [CrossRef] [Green Version]
  50. Dsouza, R.; Pinto, N.A.; Hwang, I.; Cho, Y.; Yong, D.; Choi, J.; Lee, K.; Chong, Y. Panel strain of Klebsiella pneumoniae for beta-lactam antibiotic evaluation: Their phenotypic and genotypic characterization. PeerJ 2017, 5, e2896. [Google Scholar] [CrossRef] [Green Version]
  51. Ferreira, R.L.; da Silva, B.C.M.; Rezende, G.S.; Nakamura-Silva, R.; Pitondo-Silva, A.; Campanini, E.B.; Brito, M.C.A.; da Silva, E.M.L.; Freire, C.C.d.M.; Cunha, A.F.d.; et al. High Prevalence of Multidrug-Resistant Klebsiella pneumoniae Harboring Several Virulence and β-Lactamase Encoding Genes in a Brazilian Intensive Care Unit. Front. Microbiol. 2019, 9, 3198. [Google Scholar] [CrossRef]
  52. Mendes, A.C.; Novais, Â.; Campos, J.; Rodrigues, C.; Santos, C.; Antunes, P.; Ramos, H.; Peixe, L. mcr-1 in Carbapenemase-Producing Klebsiella pneumoniae with Hospitalized Patients, Portugal, 2016–2017. Emerg. Infect. Dis. 2018, 24, 762–766. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Roch, M.; Sierra, R.; Sands, K.; Martins, W.M.B.S.; Schrenzel, J.; Walsh, T.R.; Gales, A.C.; Andrey, D.O. Vertical and horizontal dissemination of an IncC plasmid harbouring rmtB 16S rRNA methylase gene, conferring resistance to plazomicin, among invasive ST258 and ST16 KPC-producing Klebsiella pneumoniae. J. Glob. Antimicrob. Resist. 2021, 24, 183–189. [Google Scholar] [CrossRef] [PubMed]
  54. Wyres, K.L.; Lam, M.M.C.; Holt, K.E. Population genomics of Klebsiella pneumoniae. Nat. Rev. Microbiol. 2020, 18, 344–359. [Google Scholar] [CrossRef] [PubMed]
  55. Hu, F.-P.; Xu, X.-G.; Zhu, D.-M.; Wang, M.-G. Coexistence of qnrB4 and qnrS1 in a clinical strain of Klebsiella pneumoniae. Acta Pharmacol. Sin. 2008, 29, 320–324. [Google Scholar] [CrossRef] [Green Version]
  56. Vetting, M.W.; Hegde, S.S.; Wang, M.; Jacoby, G.A.; Hooper, D.C.; Blanchard, J.S. Structure of QnrB1, a plasmid-mediated fluoroquinolone resistance factor. J. Biol. Chem. 2011, 286, 25265–25273. [Google Scholar] [CrossRef] [Green Version]
  57. Perdigão, J.; Caneiras, C.; Elias, R.; Modesto, A.; Spadar, A.; Phelan, J.; Campino, S.; Clark, T.G.; Costa, E.; Saavedra, M.J.; et al. Genomic Epidemiology of Carbapenemase Producing Klebsiella pneumoniae Strains at a Northern Portuguese Hospital Enables the Detection of a Misidentified Klebsiella variicola KPC-3 Producing Strain. Microorganisms 2020, 8, 1986. [Google Scholar] [CrossRef]
  58. Brandt, C.; Viehweger, A.; Singh, A.; Pletz, M.W.; Wibberg, D.; Kalinowski, J.; Lerch, S.; Müller, B.; Makarewicz, O. Assessing genetic diversity and similarity of 435 KPC-carrying plasmids. Sci. Rep. 2019, 9, 11223. [Google Scholar] [CrossRef] [Green Version]
  59. Cheruvanky, A.; Stoesser, N.; Sheppard Anna, E.; Crook Derrick, W.; Hoffman Paul, S.; Weddle, E.; Carroll, J.; Sifri Costi, D.; Chai, W.; Barry, K.; et al. Enhanced Klebsiella pneumoniae Carbapenemase Expression from a Novel Tn4401 Deletion. Antimicrob. Agents Chemother. 2017, 61, e00025-17. [Google Scholar] [CrossRef] [Green Version]
  60. Roe, C.C.; Vazquez, A.J.; Esposito, E.P.; Zarrilli, R.; Sahl, J.W. Diversity, Virulence, and Antimicrobial Resistance in Isolates From the Newly Emerging Klebsiella pneumoniae ST101 Lineage. Front. Microbiol. 2019, 10, 542. [Google Scholar] [CrossRef] [Green Version]
  61. Andrade, L.N.; Siqueira, T.E.S.; Martinez, R.; Darini, A.L.C. Multidrug-Resistant CTX-M-(15, 9, 2)- and KPC-2-Producing Enterobacter hormaechei and Enterobacter asburiae Isolates Possessed a Set of Acquired Heavy Metal Tolerance Genes Including a Chromosomal sil Operon (for Acquired Silver Resistance). Front. Microbiol. 2018, 9, 539. [Google Scholar] [CrossRef]
  62. Cooksey, D.A. Molecular mechanisms of copper resistance and accumulation in bacteria. FEMS Microbiol. Rev. 1994, 14, 381–386. [Google Scholar] [CrossRef] [PubMed]
  63. Silver, S. Bacterial silver resistance: Molecular biology and uses and misuses of silver compounds. FEMS Microbiol. Rev. 2003, 27, 341–353. [Google Scholar] [CrossRef] [Green Version]
  64. Cervantes, C.; Ji, G.; Ramírez, J.L.; Silver, S. Resistance to arsenic compounds in microorganisms. FEMS Microbiol. Rev. 1994, 15, 355–367. [Google Scholar] [CrossRef] [PubMed]
  65. Liebert, C.A.; Wireman, J.; Smith, T.; Summers, A.O. Phylogeny of mercury resistance (mer) operons of gram-negative bacteria isolated from the fecal flora of primates. Appl. Environ. Microbiol. 1997, 63, 1066–1076. [Google Scholar] [CrossRef] [Green Version]
  66. Lam, M.M.C.; Wyres, K.L.; Duchêne, S.; Wick, R.R.; Judd, L.M.; Gan, Y.H.; Hoh, C.H.; Archuleta, S.; Molton, J.S.; Kalimuddin, S.; et al. Population genomics of hypervirulent Klebsiella pneumoniae clonal-group 23 reveals early emergence and rapid global dissemination. Nat. Commun. 2018, 9, 2703. [Google Scholar] [CrossRef] [Green Version]
  67. Zhang, R.; Liu, L.; Zhou, H.; Chan, E.W.; Li, J.; Fang, Y.; Li, Y.; Liao, K.; Chen, S. Nationwide Surveillance of Clinical Carbapenem-resistant Enterobacteriaceae (CRE) Strains in China. EBioMedicine 2017, 19, 98–106. [Google Scholar] [CrossRef] [Green Version]
  68. Migliorini, L.B.; de Sales, R.O.; Koga, P.C.M.; Doi, A.M.; Poehlein, A.; Toniolo, A.R.; Menezes, F.G.; Martino, M.D.V.; Gales, A.C.; Brüggemann, H.; et al. Prevalence of bla(KPC-2), bla(KPC-3) and bla(KPC-30)-Carrying Plasmids in Klebsiella pneumoniae Isolated in a Brazilian Hospital. Pathogens 2021, 10, 332. [Google Scholar] [CrossRef]
  69. Paczosa, M.K.; Mecsas, J. Klebsiella pneumoniae: Going on the Offense with a Strong Defense. Microbiol. Mol. Biol. Rev. 2016, 80, 629–661. [Google Scholar] [CrossRef] [Green Version]
  70. Bachman, M.A.; Oyler, J.E.; Burns, S.H.; Caza, M.; Lépine, F.; Dozois, C.M.; Weiser, J.N. Klebsiella pneumoniae yersiniabactin promotes respiratory tract infection through evasion of lipocalin 2. Infect. Immun. 2011, 79, 3309–3316. [Google Scholar] [CrossRef] [Green Version]
  71. Nougayrède, J.P.; Homburg, S.; Taieb, F.; Boury, M.; Brzuszkiewicz, E.; Gottschalk, G.; Buchrieser, C.; Hacker, J.; Dobrindt, U.; Oswald, E. Escherichia coli induces DNA double-strand breaks in eukaryotic cells. Science 2006, 313, 848–851. [Google Scholar] [CrossRef]
  72. Russo, T.A.; Olson, R.; MacDonald, U.; Beanan, J.; Davidson, B.A. Aerobactin, but not yersiniabactin, salmochelin, or enterobactin, enables the growth/survival of hypervirulent (hypermucoviscous) Klebsiella pneumoniae ex vivo and in vivo. Infect. Immun. 2015, 83, 3325–3333. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Konopka, K.; Bindereif, A.; Neilands, J.B. Aerobactin-mediated utilization of transferrin iron. Biochemistry 1982, 21, 6503–6508. [Google Scholar] [CrossRef]
  74. Diago-Navarro, E.; Chen, L.; Passet, V.; Burack, S.; Ulacia-Hernando, A.; Kodiyanplakkal, R.P.; Levi, M.H.; Brisse, S.; Kreiswirth, B.N.; Fries, B.C. Carbapenem-Resistant Klebsiella pneumoniae Exhibit Variability in Capsular Polysaccharide and Capsule Associated Virulence Traits. J. Infect. Dis. 2014, 210, 803–813. [Google Scholar] [CrossRef] [PubMed]
  75. Lester, C.H.; Olsen, S.S.; Jakobsen, L.; Arpi, M.; Fuursted, K.; Hansen, D.S.; Heltberg, O.; Holm, A.; Højbjerg, T.; Jensen, K.T.; et al. Emergence of extended-spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae in Danish hospitals; this is in part explained by spread of two CTX-M-15 clones with multilocus sequence types 15 and 16 in Zealand. Int. J. Antimicrob. Agents 2011, 38, 180–182. [Google Scholar] [CrossRef] [PubMed]
  76. Espinal, P.; Nucleo, E.; Caltagirone, M.; Mattioni Marchetti, V.; Fernandes, M.R.; Biscaro, V.; Rigoli, R.; Carattoli, A.; Migliavacca, R.; Villa, L. Genomics of Klebsiella pneumoniae ST16 producing NDM-1, CTX-M-15, and OXA-232. Clin. Microbiol. Infect. Off. Publ. Eur. Soc. Clin. Microbiol. Infect. Dis. 2019, 25, 385.e1–385.e5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Martins, W.; Li, M.; Sands, K.; Lenzi, M.H.; Portal, E.; Mathias, J.; Dantas, P.P.; Migliavacca, R.; Hunter, J.R.; Medeiros, E.A.; et al. Effective phage cocktail to combat the rising incidence of extensively drug-resistant Klebsiella pneumoniae sequence type 16. Emerg. Microbes Infect. 2022, 11, 1015–1023. [Google Scholar] [CrossRef]
  78. Ventola, C.L. The antibiotic resistance crisis: Part 1: Causes and threats. P&T Peer-Rev. J. Formul. Manag. 2015, 40, 277–283. [Google Scholar]
  79. Vornhagen, J.; Roberts, E.K.; Unverdorben, L.; Mason, S.; Patel, A.; Crawford, R.; Holmes, C.L.; Sun, Y.; Teodorescu, A.; Snitkin, E.S.; et al. Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection. Nat. Commun. 2022, 13, 4459. [Google Scholar] [CrossRef]
  80. Robicsek, A.; Strahilevitz, J.; Jacoby, G.A.; Macielag, M.; Abbanat, D.; Park, C.H.; Bush, K.; Hooper, D.C. Fluoroquinolone-modifying enzyme: A new adaptation of a common aminoglycoside acetyltransferase. Nat. Med. 2006, 12, 83–88. [Google Scholar] [CrossRef] [PubMed]
  81. Albornoz, E.; Tijet, N.; De Belder, D.; Gomez, S.; Martino, F.; Corso, A.; Melano, R.G.; Petroni, A. qnrE1, a Member of a New Family of Plasmid-Located Quinolone Resistance Genes, Originated from the Chromosome of Enterobacter Species. Antimicrob. Agents Chemother. 2017, 61, e02555-16. [Google Scholar] [CrossRef] [Green Version]
  82. Che, Y.; Yang, Y.; Xu, X.; Břinda, K.; Polz, M.F.; Hanage, W.P.; Zhang, T. Conjugative plasmids interact with insertion sequences to shape the horizontal transfer of antimicrobial resistance genes. Proc. Natl. Acad. Sci. USA 2021, 118, e2008731118. [Google Scholar] [CrossRef]
  83. San Millan, A. Evolution of Plasmid-Mediated Antibiotic Resistance in the Clinical Context. Trends Microbiol. 2018, 26, 978–985. [Google Scholar] [CrossRef] [Green Version]
  84. Abe, R.; Akeda, Y.; Takeuchi, D.; Sakamoto, N.; Sugawara, Y.; Yamamoto, N.; Kerdsin, A.; Matsumoto, Y.; Motooka, D.; Leolerd, W.; et al. Clonal dissemination of carbapenem-resistant Klebsiella pneumoniae ST16 co-producing NDM-1 and OXA-232 in Thailand. JAC-Antimicrob. Resist. 2022, 4, dlac084. [Google Scholar] [CrossRef] [PubMed]
  85. Potron, A.; Rondinaud, E.; Poirel, L.; Belmonte, O.; Boyer, S.; Camiade, S.; Nordmann, P. Genetic and biochemical characterisation of OXA-232, a carbapenem-hydrolysing class D β-lactamase from Enterobacteriaceae. Int. J. Antimicrob. Agents 2013, 41, 325–329. [Google Scholar] [CrossRef] [PubMed]
  86. Takeuchi, D.; Kerdsin, A.; Akeda, Y.; Sugawara, Y.; Sakamoto, N.; Matsumoto, Y.; Motooka, D.; Ishihara, T.; Nishi, I.; Laolerd, W.; et al. Nationwide surveillance in Thailand revealed genotype-dependent dissemination of carbapenem-resistant Enterobacterales. Microb. Genom. 2022, 8, 000797. [Google Scholar] [CrossRef] [PubMed]
  87. Lee, C.-R.; Lee, J.H.; Park, K.S.; Kim, Y.B.; Jeong, B.C.; Lee, S.H. Global Dissemination of Carbapenemase-Producing Klebsiella pneumoniae: Epidemiology, Genetic Context, Treatment Options, and Detection Methods. Front. Microbiol. 2016, 7, 895. [Google Scholar] [CrossRef] [Green Version]
  88. Struve, C.; Roe, C.C.; Stegger, M.; Stahlhut, S.G.; Hansen, D.S.; Engelthaler, D.M.; Andersen, P.S.; Driebe, E.M.; Keim, P.; Krogfelt, K.A. Mapping the Evolution of Hypervirulent Klebsiella pneumoniae. mBio 2015, 6, e00630-15. [Google Scholar] [CrossRef] [Green Version]
  89. Cerqueira, G.C.; Earl, A.M.; Ernst, C.M.; Grad, Y.H.; Dekker, J.P.; Feldgarden, M.; Chapman, S.B.; Reis-Cunha, J.L.; Shea, T.P.; Young, S.; et al. Multi-institute analysis of carbapenem resistance reveals remarkable diversity, unexplained mechanisms, and limited clonal outbreaks. Proc. Natl. Acad. Sci. USA 2017, 114, 1135–1140. [Google Scholar] [CrossRef] [Green Version]
  90. Wyres, K.L.; Wick, R.R.; Judd, L.M.; Froumine, R.; Tokolyi, A.; Gorrie, C.L.; Lam, M.M.C.; Duchêne, S.; Jenney, A.; Holt, K.E. Distinct evolutionary dynamics of horizontal gene transfer in drug resistant and virulent clones of Klebsiella pneumoniae. PLoS Genet. 2019, 15, e1008114. [Google Scholar] [CrossRef] [Green Version]
  91. Wyres, K.L.; Gorrie, C.; Edwards, D.J.; Wertheim, H.F.; Hsu, L.Y.; Van Kinh, N.; Zadoks, R.; Baker, S.; Holt, K.E. Extensive Capsule Locus Variation and Large-Scale Genomic Recombination within the Klebsiella pneumoniae Clonal Group 258. Genome Biol. Evol. 2015, 7, 1267–1279. [Google Scholar] [CrossRef]
Pathogens 11 01394 g001 550
Figure 1. Diversity of K. pneumoniae ST16 isolates included in this study. (A) Distribution by geographic region. (B) Distribution by country of the available genomes. (C) Temporal distribution of isolates. * Others: comprise isolates reported between 2003 and 2022. (D) Hosts or sites of sampling.
Figure 1. Diversity of K. pneumoniae ST16 isolates included in this study. (A) Distribution by geographic region. (B) Distribution by country of the available genomes. (C) Temporal distribution of isolates. * Others: comprise isolates reported between 2003 and 2022. (D) Hosts or sites of sampling.
Pathogens 11 01394 g001
Pathogens 11 01394 g002 550
Figure 2. Heatmap illustrating the number of antimicrobial resistance genes per location. Gray: location with no ST16 isolates reported in NCBI. This figure was made using MapChart (https://www.mapchart.net/world.html; accessed on 5 May 2022) and data from 912 isolates for which sampling location was available.
Figure 2. Heatmap illustrating the number of antimicrobial resistance genes per location. Gray: location with no ST16 isolates reported in NCBI. This figure was made using MapChart (https://www.mapchart.net/world.html; accessed on 5 May 2022) and data from 912 isolates for which sampling location was available.
Pathogens 11 01394 g002
Pathogens 11 01394 g003a 550Pathogens 11 01394 g003b 550
Figure 3. (A) Distribution of 132 AMR genes reported in 853 genomes of K. pneumoniae ST16. (B) Distribution of the maximum number of AMR genes or AMR gene variants per genome per year. (C) Distribution of the maximum number of virulence genes per genome per year.
Figure 3. (A) Distribution of 132 AMR genes reported in 853 genomes of K. pneumoniae ST16. (B) Distribution of the maximum number of AMR genes or AMR gene variants per genome per year. (C) Distribution of the maximum number of virulence genes per genome per year.
Pathogens 11 01394 g003aPathogens 11 01394 g003b
Pathogens 11 01394 g004 550
Figure 4. Plasmid replicon screening. PlasmidFinder was used to screen the genomes of ST16 K. pneumoniae. Only plasmid replicons found in ≥10 isolates are reported in this figure.
Figure 4. Plasmid replicon screening. PlasmidFinder was used to screen the genomes of ST16 K. pneumoniae. Only plasmid replicons found in ≥10 isolates are reported in this figure.
Pathogens 11 01394 g004
Pathogens 11 01394 g005 550
Figure 5. Prevalence of Integrative Conjugative Elements de K. pneumoniae (ICEKp).
Figure 5. Prevalence of Integrative Conjugative Elements de K. pneumoniae (ICEKp).
Pathogens 11 01394 g005
Pathogens 11 01394 g006 550
Figure 6. Maximum-likelihood phylogeny of the 957 Klebsiella pneumoniae ST16 was inferred from aligned core genomes by roary. (-) ICEKp or K-type were not identified based on the threshold defined in methods. Data available for interactive viewing are available at https://microreact.org/project/drXbkjrfrVUP6TiEQAVh7r-tree-phylogenetic-kp-st16, accessed on 5 May 2022. The greater diversity of ICEKp within group 1 reflects the geographic diversity of this group (37 countries). Almost all isolates from group 2 harbored ICEKp3 (343/344; 99.70%) (Figure 6, which is also available for interactive viewing at https://microreact.org/project/kFHeSw2Qr9cecxdgX7oSnt-tree-phylogenetic-kp-st16-group-2, accessed on 5 May 2022), with the exception of one isolate, also from Thailand, reported in 2017. Despite the widespread of ICEKp3 within this group, 111/452 (24.55%) of isolates from group 1 also harbored ICEKp3.
Figure 6. Maximum-likelihood phylogeny of the 957 Klebsiella pneumoniae ST16 was inferred from aligned core genomes by roary. (-) ICEKp or K-type were not identified based on the threshold defined in methods. Data available for interactive viewing are available at https://microreact.org/project/drXbkjrfrVUP6TiEQAVh7r-tree-phylogenetic-kp-st16, accessed on 5 May 2022. The greater diversity of ICEKp within group 1 reflects the geographic diversity of this group (37 countries). Almost all isolates from group 2 harbored ICEKp3 (343/344; 99.70%) (Figure 6, which is also available for interactive viewing at https://microreact.org/project/kFHeSw2Qr9cecxdgX7oSnt-tree-phylogenetic-kp-st16-group-2, accessed on 5 May 2022), with the exception of one isolate, also from Thailand, reported in 2017. Despite the widespread of ICEKp3 within this group, 111/452 (24.55%) of isolates from group 1 also harbored ICEKp3.
Pathogens 11 01394 g006
Pathogens 11 01394 g007 550
Figure 7. Distribution of (A) virulence and (B) resistance scores among genomes belonging to ST11 and ST16. Ybt: yersiniabactin, clb: colibactin, iuc: aerobactin, VP: virulence plasmid, ESBL: Extended Spectrum-β-Lactamase, Carb: carbapenemase, Col: colistin resistance determinant.
Figure 7. Distribution of (A) virulence and (B) resistance scores among genomes belonging to ST11 and ST16. Ybt: yersiniabactin, clb: colibactin, iuc: aerobactin, VP: virulence plasmid, ESBL: Extended Spectrum-β-Lactamase, Carb: carbapenemase, Col: colistin resistance determinant.
Pathogens 11 01394 g007
Table
Table 1. Main characteristics observed between Klebsiella pneumoniae ST11 and ST16.
Table 1. Main characteristics observed between Klebsiella pneumoniae ST11 and ST16.
STNo. of Genomes in Public CollectionTotal No. of CountriesRegion Most Prevalent Genomes ≥10% Isolates)Countries Most Prevalent Genomes ≥10% Isolates)Total No. of K-Types (and Types With ≥10% Isolates)Total No. of O-Types (and Types With ≥10% Isolates)Number Isolates with YersiniabactinICEKp ≥10% IsolatesMedian No. of Virulence Determinants per Genome (Range)Most Frequently Observed ESBLs (≥10% Isolates)Most Frequently Observed Carbapenemases (≥10% Isolates)
11124750Asia, (49.87%);China (456; 36.56%)28 (KL64, 27.9%;8 (O2v1, 46.83%;1045 (83.80%)8 (ICEKp3, 52.34%;1 (0–5)CTX-M-15-523 (41.9%);KPC-2-605 (48.5%);
Europe, (28.46%);Spain (149; 11.94%)KL24, 16.4%;O2v2, 20.16%; ICEKp4, 31.1%) CTX-M-65-360 (28.9%)NDM-1-188 (15.1%);
South America, (12.34%) KL105, 16.2%;OL101, 13.24%) OXA-48-156 (12.5%)
KL47, 14.8%)
1695740Asia, (48.90%);Thailand (334, 34.90%);10 (KL51, 79.31%)6 (O3b, 92.58%)605 (63.21%)7 (ICEKp3, 48.06%;0.71 (0–5)CTX-M-15-821 (85.78%);OXA-232-366 (38.24%);
North America, (21.52%);United States (198; 20.69%) ICEKp4, 12.43%) NDM-1-344 (34.90%)
Europe, (14.42%)
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

de Sales, R.O.; Leaden, L.; Migliorini, L.B.; Severino, P. A Comprehensive Genomic Analysis of the Emergent Klebsiella pneumoniae ST16 Lineage: Virulence, Antimicrobial Resistance and a Comparison with the Clinically Relevant ST11 Strain. Pathogens 2022, 11, 1394. https://doi.org/10.3390/pathogens11121394

AMA Style

de Sales RO, Leaden L, Migliorini LB, Severino P. A Comprehensive Genomic Analysis of the Emergent Klebsiella pneumoniae ST16 Lineage: Virulence, Antimicrobial Resistance and a Comparison with the Clinically Relevant ST11 Strain. Pathogens. 2022; 11(12):1394. https://doi.org/10.3390/pathogens11121394

Chicago/Turabian Style

de Sales, Romário Oliveira, Laura Leaden, Letícia Busato Migliorini, and Patricia Severino. 2022. "A Comprehensive Genomic Analysis of the Emergent Klebsiella pneumoniae ST16 Lineage: Virulence, Antimicrobial Resistance and a Comparison with the Clinically Relevant ST11 Strain" Pathogens 11, no. 12: 1394. https://doi.org/10.3390/pathogens11121394

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop