Biology subjects

Lam, M. M. C.

Publications and source records attributed to Lam, M. M. C..

12 recordsLinked to original sources

bioRxiv2025

The acquisition of rmpADC can increase virulence of classical Klebsiella pneumoniae in the absence of other hypervirulence-associated genes

Klebsiella pneumoniae is one of the most common causes of nosocomial infections, and the rise of drug-resistant K. pneumoniae strains is complicating treatment and contributing to a mounting global health crisis. K. pneumoniae has two pathotypes, classical (cKp) and hypervirulent (hvKp). CKp typically cause opportunistic infections in immunocompromised individuals in healthcare settings and often are multi-drug resistant. HvKp can be community acquired and cause high-mortality infections in immunocompetent individuals. Concerningly, antibiotic-resistant cKp strains with hypervirulence-associated genes and traits have recently emerged. Determining if and how hv-associated genes contribute to increased virulence of cKp strains is essential to addressing this growing threat. The rmpADC operon is an hv-associated locus that confers hypermucoviscosity (HMV), a key virulence phenotype, and rmp genes are often found in convergent strains. In this study, we aimed to determine if the rmp genes alone could increase the virulence of classical strains in the absence of other hv-associated genes. We introduced genetically distinct rmp loci from different lineages into a broad array of cKp isolates and found that, while many isolates became HMV positive, only a subset of these strains showed an increase in virulence in a mouse model of pneumonia. Sequence type and capsule type were not predictive of how rmp acquisition impacted the clinical isolates. Our results indicate that HMV is likely necessary but not sufficient for hypervirulence and that rmp sequence can influence virulence potential in classical strains. IMPORTANCEKlebsiella pneumoniae is a global pathogen, and gene exchange between hypervirulent (hvKp) and classical (cKp) strains is a rising threat. It is essential to understand how hvKp genes impact virulence phenotypes and identify the cKp strain backgrounds most amenable to enhanced virulence. Hypermucoviscosity (HMV) is a critical virulence factor in hypervirulent K. pneumoniae, conferred by the rmpADC locus. The rmp genes are encoded on mobile genetic elements and have been detected in convergent antibiotic-resistant K. pneumoniae strains of concern. In this study, we explored the impact of rmp acquisition in a broad set of classical clinical isolates. We observed that HMV appears necessary, but not sufficient, for increased virulence. Sequence type, capsule type, and HMV capacity could not predict which classical isolates gain an rmp-dependent colonization benefit. These insights increase our understanding of the distinctions between cKp and hvKp and further our ability to identify and treat new strains of concern.

microbiology↗

bioRxiv2025

Simple Sequence Repeats Mediate Phase Variation of the Mucoid Phenotype in Hypervirulent Klebsiella pneumoniae

Hypervirulent Klebsiella pneumoniae (HVKp) express a thick mucoid capsular polysaccharide which is essential for virulence and survival in the bloodstream but inhibits epithelial adhesion and invasion. The molecular mechanisms regulating capsule expression to rapidly adapt to these distinct niches are unknown. Here, we show that high frequency mutations in a poly-G repeat in the regulator of mucoid phenotype gene, rmpA, mediates reversible ON/OFF phase variation of the mucoid phenotype. We find that these mutations generate subpopulations of bacteria with reduced capsule expression and mucoidy. In vitro and in vivo infection models reveal that phase variation to the OFF state facilitates epithelial cell infection while ON switching enhances resistance to the bactericidal activity of human serum and systemic spread to the liver and spleen in a murine infection model. Genomic analysis reveals that the phase variation mechanism is a conserved feature of all HVKp and that additional novel DNA repeats in rmpD and rmpC drive different combinations of capsule mucoidy and hyperexpression phenotypes. These findings establish a mechanistic basis for how HVKp occupy such a diverse array of niches during infection, with important implications for the design and implementation of Kp-specific vaccines and therapies.

microbiology↗

bioRxiv2024

A genome-wide One Health study of Klebsiella pneumoniae in Norway reveals overlapping populations but few recent transmission events across reservoirs

Members of the Klebsiella pneumoniae species complex (KpSC) are opportunistic pathogens that cause severe and difficult-to-treat infections. KpSC are common in non-human niches, but the clinical relevance of these populations is disputed. Utilising 3,255 whole-genome sequenced isolates from human, animal and marine sources collected during 2001-2020 in Norway, we showed the KpSC populations in different niches were distinct but overlapping. Notably, human infection isolates showed greatest connectivity with each other, followed by isolates from human carriage, pigs, and bivalves. Nearly 5% of human infection isolates had close relatives ([≤]22 substitutions) amongst animal and marine isolates, despite temporally and geographically distant sampling of these sources. Infection prevention measures are essential to limit transmission within human clinical settings and reduce disease burden. However, as colonisation often precedes infection, preventing transmission that leads to colonisation, e.g. transmission between animals and humans in the community, and in the food chain, could also be beneficial.

microbiology↗

bioRxiv2024

Diversity, functional classification and genotyping of SHV β-lactamases in Klebsiella pneumoniae

Interpreting phenotypes of blaSHV alleles in Klebsiella pneumoniae genomes is complex. While all strains are expected to carry a chromosomal copy conferring resistance to ampicillin, they may also carry mutations in chromosomal blaSHV alleles or additional plasmid-borne blaSHV alleles that have extended-spectrum {beta}-lactamase (ESBL) activity and/or {beta}-lactamase inhibitor (BLI) resistance activity. In addition, the role of individual mutations/amino acid changes is not completely documented or understood. This has led to confusion in the literature and in antimicrobial resistance (AMR) gene databases (e.g., NCBIs Reference Gene Catalog and the {beta}-lactamase database (BLDB)) over the specific functionality of individual SHV protein variants. Therefore, identification of ESBL-producing strains from K. pneumoniae genome data is complicated. Here, we reviewed the experimental evidence for the expansion of SHV enzyme function associated with specific amino-acid substitutions. We then systematically assigned SHV alleles to functional classes (wildtype, ESBL, BLI-resistant) based on the presence of these mutations. This resulted in the re-classification of 37 SHV alleles compared with current assignments in NCBIs Reference Gene Catalog and/or BLDB (21 to wildtype, 12 to ESBL, 4 to BLI-resistant). Phylogenetic and comparative genomic analyses support that; i) SHV-1 (encoded by blaSHV-1) is the ancestral chromosomal variant; ii) ESBL and BLI-resistant variants have evolved multiple times through parallel substitution mutations; iii) ESBL variants are mostly mobilised to plasmids; iv) BLI-resistant variants mostly result from mutations in chromosomal blaSHV. We used matched genome-phenotype data from the KlebNET-GSP Genotype-Phenotype Group to identify 3,999 K. pneumoniae isolates carrying one or more blaSHV alleles but no other acquired {beta}-lactamases, with which we assessed genotype-phenotype relationships for blaSHV. This collection includes human, animal, and environmental isolates collected between 2001 to 2021 from 24 countries across six continents. Our analysis supports that mutations at Ambler sites 238 and 179 confer ESBL activity, while most omega-loop substitutions do not. Our data also provide direct support for wildtype assignment of 67 protein variants, including eight that were noted in public databases as ESBL. We reclassified these eight variants as wildtype, because they lack ESBL-associated mutations, and our phenotype data support susceptibility to 3GCs (SHV-27, SHV-38, SHV-40, SHV-41, SHV-42, SHV-65, SHV-164, SHV-187). The approach and results outlined here have been implemented in Kleborate v2.4.1 (a software tool for genotyping K. pneumoniae from genome assemblies), whereby known and novel blaSHV alleles are classified based on causative mutations. Kleborate v2.4.1 was also updated to include ten novel protein variants from the KlebNET-GSP dataset and all alleles in public databases as of November 2023. This study demonstrates the power of sharing AMR phenotypes alongside genome data to improve understanding of resistance mechanisms. Impact statementSince every K. pneumoniae genome has an intrinsic SHV {beta}-lactamase and may also carry additional mobile forms, the correct interpretation of blaSHV genes detected in genome data can be challenging and can lead to K. pneumoniae being misclassified as ESBL-producing. Here, we use matched K. pneumoniae genome and drug susceptibility data contributed from dozens of studies, together with systematic literature review of experimental evidence, to improve our understanding of blaSHV allele variation and mapping of genotype to phenotype. This study shows the value of coordinated data sharing, in this case via the KlebNET-GSP Genotype-Phenotype Group, to improve our understanding of the evolutionary history and functionality of blaSHV genes. The results are captured in an open-source AMR dictionary utilised by the Kleborate genotyping tool, that could easily be incorporated into or used to update other tools and AMR gene databases. This work is part of the wider efforts of the KlebNET-GSP group to develop and support a unified platform tailored for the analysis and interpretation of K. pneumoniae genomes by a wide range of stakeholders. Data summaryBlaSHV allele sequences and class assignments are distributed with Kleborate, v2.4.1, DOI:10.5281/zenodo.10469001. Table S1 provides a summary of blaSHV alleles, including primary accessions, class-modifying mutations, and supporting evidence for class assignments that differ from NCBIs Reference Gene Catalog or BLDB. Whole genome sequence data are publicly available as reads and/or assemblies, individual accessions are given in Table S2; corresponding genotypes and antibiotic susceptibility phenotypes and measurements are available in Tables S3 and S4, respectively.

genomics↗

bioRxiv2024

Bacterial strain nomenclature in the genomic era: Life Identification Numbers using a gene-by-gene approach

Unified strain taxonomies are needed for the epidemiological surveillance of bacterial pathogens and international communication in microbiological research. Core genome multilocus sequence typing (cgMLST) holds great promise for standardized high-resolution strain genotyping. However, this approach faces challenges including classification instability and disconnection of new nomenclature from widely adopted classical MLST identifiers. This essay discusses the cgMLST-based Life Identification Number (LIN) method, recently proposed as a stable multilevel strain taxonomy system applicable to most bacterial pathogens. We describe how LIN codes are implemented and used in practice for precise strain definitions and epidemiological tracking. Glossary Multilocus sequence typing (MLST)A genotyping method applied mostly to microbial strains to study population structure and epidemiology, based on comparing the nucleotide sequences of a small number (typically seven) of housekeeping protein-coding genes. In MLST, allele numbers are assigned to each sequence variant (allele) of a given gene. The MLST genotype of a bacterial strain is defined by the combination of the allele numbers observed at the genes that are included in the genotyping scheme. A sequence type (ST) is assigned to each unique combination of alleles, called an MLST profile. MLST was invented in 1998 and became a de-facto standard taxonomy of bacterial strains, albeit at low resolution. Core genome MLSTAn extension of MLST that analyzes sequence variation across hundreds to thousands of conserved (core) genes, shared by all strains of a species, providing higher resolution typing for genomic epidemiology and evolutionary studies. cgMLST schemes typically comprise 2000 to 4000 genes, depending on the genome size and genetic variation (in terms of presence/absence of genes) within bacterial species. A core genome sequence type (cgST) can be assigned to unique cgMLST profiles, i.e., a unique combination of cgMLST allelic numbers. Whole Genome Sequencing (WGS)A method that determines the complete DNA sequence of an organisms genome in a single process, providing comprehensive information for comparative genetic analyses based on cgMLST or other analytic methods. Single Nucleotide Polymorphisms (SNPs)Variations at a single base position in the DNA sequence among individuals isolates, strains or species, used as genetic markers for studying for example, evolutionary relationships or strain identity. Average nucleotide identity (ANI)A measure of genomic similarity between two organisms, calculated as the average percentage of identical nucleotides in orthologous genomic regions; commonly used to assess species-level relatedness in prokaryotes. TaxonomyHere, we apply the word taxonomy to bacterial strains as a system of classifying, naming and identifying strains based on shared genetic characteristics as defined by e.g., cgMLST.

microbiology↗

bioRxiv2023

Examining the role of Acinetobacter baumannii Plasmid Types in Disseminating Antimicrobial Resistance

Acinetobacter baumannii is a Gram-negative pathogen responsible for hospital-acquired infections with high levels of antimicrobial resistance (AMR). The spread of multidrug-resistant A. baumannii strains, particularly those resistant to carbapenems, has become a global concern. Spread of AMR in A. baumannii is primarily mediated by the acquisition of AMR genes through mobile genetic elements, such as plasmids. Thus, a comprehensive understanding of the role of different plasmid types in disseminating AMR genes is essential. In this study, we analysed the distribution of plasmid types, sampling sources, geographic locations, and AMR genes carried on A. baumannii plasmids. A collection of 814 complete plasmid entries was collated and analysed. Most plasmids were identified in clinical isolates from East Asia, North America, South Asia, West Europe, and Australia. We previously devised an Acinetobacter Plasmid Typing (APT) scheme where rep/Rep types were defined using 95% nucleotide identity and updated the scheme in this study by adding 13 novel rep/Rep types (93 types total). The APT scheme now includes 178 Rep variants belonging to three families: R1, R3, and RP. R1-type plasmids were mainly associated with global clone 1 strains, while R3-type plasmids were highly diverse and carried a variety of AMR determinants including carbapenem, aminoglycoside and colistin resistance genes. Similarly, RP-type and rep-less plasmids were also identified as important carriers of aminoglycoside and carbapenem resistance genes. This study provides a comprehensive overview of the distribution and characteristics of A. baumannii plasmids, shedding light on their role in the dissemination of AMR genes. The updated APT scheme and novel findings enhance our understanding of the molecular epidemiology of A. baumannii and provide valuable insights for surveillance and control strategies. IMPORTANCEA. baumannii has emerged as a major cause of nosocomial infections, particularly in intensive care units, posing a substantial challenge to patient safety and healthcare systems. Plasmids, which carry antimicrobial resistance (AMR) genes, play a crucial role in the multidrug resistance exhibited by A. baumannii strains, necessitating a comprehensive understanding of plasmid spread, and how to track them. This study provides important insights into A. baumannii plasmid epidemiology, and the extent of their role in spreading clinically significant AMR genes and how they are differentially distributed across different clones i.e. sequence types (STs) and geographical regions. These insights are important for identifying high-risk areas or clones implicated in plasmid transmission, in the context of the spread of multidrug-resistant A. baumannii strains. It also highlights the involvement of R3-type, RP-type and rep-less plasmids in the acquisition and spread of significant AMR genes including those conferring resistance to carbapenems, aminoglycosides and colistin.

microbiology↗

bioRxiv2022

Nanopore-only assemblies for genomic surveillance of the global priority drug-resistant pathogen, Klebsiella pneumoniae

BackgroundOxford Nanopore Technologies (ONT) sequencing has rich potential for genomic epidemiology and public health investigations of bacterial pathogens, particularly in low-resource settings and at the point of care, due to its portability and affordability. However, low base-call accuracy has limited the reliability of ONT data for critical tasks such as antimicrobial resistance (AMR) and virulence gene detection and typing, serotype prediction and cluster identification. Thus, Illumina sequencing remains the standard for genomic surveillance despite higher capital and running costs. MethodsWe tested the accuracy of ONT-only assemblies for common applied bacterial genomics tasks (genotyping and cluster detection, implemented via Kleborate, Kaptive and Pathogenwatch), using data from 54 unique Klebsiella pneumoniae isolates. ONT reads generated via MinION with R9.4 flowcells were basecalled using three alternative models (Fast, High-accuracy (HAC) and Super-accuracy (SUP), available within ONTs Guppy software), assembled with Flye and polished using Medaka. Accuracy of typing using ONT-only assemblies was compared with that of Illumina-only and hybrid ONT+Illumina assemblies, constructed from the same isolates as reference standards. ResultsThe most resource-intensive ONT-assembly approach (SUP basecalling, with or without Medaka polishing) performed best, yielding reliable capsule (K) type calls for all strains (100% exact or best matching locus), reliable multi-locus sequence type (MLST) assignment (98.3% exact match or single-locus variants), and good detection of acquired AMR genes and mutations (88% - 100% correct identification across the various drug classes). Distance-based trees generated from SUP+Medaka assemblies accurately reflected overall genetic relationships between isolates; however, the definition of outbreak clusters from ONT-only assemblies was problematic. HAC basecalling + Medaka polishing performed similarly to SUP basecalling without polishing, and polishing introduced errors into HAC- or Fast-basecalled assemblies. Therefore, we recommend investing compute resources into basecalling (SUP model) over polishing, where compute resources and/or time are limiting. ConclusionsOverall, our results show that MLST, K type and AMR determinants can be reliably identified with ONT-only data. However, cluster detection remains challenging with this technology.

genomics↗

bioRxiv2021

Kaptive 2.0: updated capsule and LPS locus typing for the Klebsiella pneumoniae species complex

The outer polysaccharide capsule and lipopolysaccharide antigens are key targets for novel control strategies targeting Klebsiella pneumoniae and related taxa from the K. pneumoniae species complex (KpSC), including vaccines, phage and monoclonal antibody therapies. Given the importance and growing interest in these highly diverse surface antigens, we had previously developed Kaptive, a tool for rapidly identifying and typing capsule (K) and outer lipopolysaccharide (O) loci from whole genome sequence data. Here, we report two significant updates, now freely available in Kaptive 2.0 (github.com/katholt/kaptive); i) the addition of 16 novel K locus sequences to the K locus reference database following an extensive search of >17,000 KpSC genomes; and ii) enhanced O locus typing to enable prediction of the clinically relevant O2 antigen (sub)types, for which the genetic determinants have been recently described. We applied Kaptive 2.0 to a curated dataset of >12,000 public KpSC genomes to explore for the first time the distribution of predicted O (sub)types across species, sampling niches and clones, which highlighted key differences in the distributions that warrant further investigation. As the uptake of genomic surveillance approaches continues to expand globally, the application of Kaptive 2.0 will generate novel insights essential for the design of effective KpSC control strategies. Significance as a BioResource to the communityKlebsiella pneumoniae is a major cause of bacterial healthcare associated infections globally, with increasing rates of antimicrobial resistance, including strains with resistance to the drugs of last resort. The latter have therefore been flagged as priority pathogens for the development of novel control strategies. K. pneumoniae produce two key surface antigen sugars (capsular polysaccharide and lipopolysaccharide (LPS)) that are immunogenic and targets for novel controls such as a vaccines and phage therapy. However, there is substantial antigenic diversity in the population and relatively little is understood about the distribution of antigen types geographically and among strains causing different types of infections. Whereas laboratory-based antigen typing is difficult and rarely performed, information about the relevant synthesis loci can be readily extracted from whole genome sequence data. We have previously developed Kaptive, a freely available tool for rapid typing of Klebsiella capsule and LPS loci from genome sequences. Kaptive is now used widely in the global research community and has facilitated new insights into Klebsiella capsule and LPS diversity. Here we present an update to Kaptive facilitating i) the identification of 16 additional novel capsule loci, and ii) the prediction of immunologically relevant LPS O2 antigen subtypes. These updates will enable enhanced sero-epidemiological surveillance for K. pneumoniae, to inform the design of vaccines and other novel Klebsiella control strategies. Data summaryO_LIThe updated code and reference databases for Kaptive are available at https://github.com/katholt/Kaptive C_LIO_LIGenome accessions from which reference sequences of novel K loci were defined are listed in Supplementary Table 1, and genomes from which these loci were detected (along with the corresponding Kaptive output) are listed in Supplementary Table 2. C_LIO_LIAccessions for the genomes screened for O types/subtypes (along with the corresponding Kaptive output) are listed in Supplementary Table 3. C_LI The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files. Repositories1.1 RepositoriesGenome sequence from which the novel K locus KL182 was defined has been deposited under the accession JAJHNT000000000.

genomics↗

bioRxiv2018

Yersiniabactin, Colibactin and Wider Resistome Contribute to Enhanced Virulence and Persistence of KPC-2-Producing Klebsiella pneumoniae CG258 in South America

The emergence and dissemination of carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKp) is a worrisome public health issue compromising the treatment and outcome of infections caused by this pathogen. We performed a detailed virulome and resistome analysis of representative KPC- and/or CTX-M-producing K. pneumoniae belonging to clonal group (CG) 258 (sequence types ST11, ST258, ST340, ST437), circulating in Argentina, Brazil, Chile, Colombia and Peru; with further evaluation of the virulence behavior using the Galleria mellonella infection model. Genomic analysis of K. pneumoniae strains recovered from the human-animal-environment interface revealed a wide resistome characterized by the presence of genes and mutations conferring resistance to human and veterinary antibiotics, quaternary ammonium compounds (QACs) and heavy metals. Plasmid Inc typing revealed the presence of a wide diversity of replicon types with IncF, IncN, IncR and Col-like being frequently detected. Moreover, KPC-2-producing K. pneumoniae belonging to ST11 (KL-64 andKL-105) and ST340 (KL-15) carried multiple variants of distinct yersiniabactin siderophore (ybt) and/or genotoxic colibactin (clb) genes. In this regard, ICEKp3, ICEKp4 and ICEKp12 were identified in strains belonging to ST11 and ST340, recovered from Argentina, Brazil, Chile and Colombia; whereas ybt 17 and a novel ybt sequence type (YbST346) were identified together with clb in ICEKp10 structures from ST11 and ST258, from Brazil and Colombia, respectively. K. pneumoniae ST11 (ICEKp10/YbST346 and ICEKp4/ybt 10) strains killed 100% of wax moth larvae, in a similar way to hypervirulent K1/ST23 strain (ybt- and clb-negative) carrying the pLVPK-like plasmid, indicating enhanced virulence. In summary, our results indicate that yersiniabactin, colibactin and an expanded resistome have contributed to enhanced virulence and persistence of KPC-2-producing K. pneumoniae CG258 in South America. Therefore, active surveillance of hospital-associated lineages of K. pneumoniae should not only focus on clonal origin and antimicrobial resistance, but also on the virulence factors ybt and clb.

microbiology↗

bioRxiv2018

Distinct evolutionary dynamics of horizontal gene transfer in drug resistant and virulent clones of Klebsiella pneumoniae

Klebsiella pneumoniae (Kp) has emerged as an important cause of two distinct public health threats: multidrug resistant (MDR) healthcare-associated infections1 and community-acquired invasive infections, particularly pyogenic liver abscess2. The majority of MDR hospital outbreaks are caused by a subset of Kp clones with a high prevalence of acquired antimicrobial resistance (AMR) genes, while the majority of community-acquired invasive infections are caused by hypervirulent clones that rarely harbour acquired AMR genes but have high prevalence of key virulence loci3-5. Worryingly, the last few years have seen increasing reports of convergence of MDR and the key virulence genes within individual Kp strains6, but it is not yet clear whether these represent a transient phenomenon or a significant ongoing threat. Here we perform comparative genomic analyses for 28 distinct Kp clones, including 6 hypervirulent and 8 MDR, to better understand their evolutionary histories and the risks of convergence. We show that MDR clones are highly diverse with frequent chromosomal recombination and gene content variability that far exceeds that of the hypervirulent clones. Consequently, we predict a much greater risk of virulence gene acquisition by MDR Kp clones than of resistance gene acquisition by hypervirulent clones.

microbiology↗

bioRxiv2018

Tracking key virulence loci encoding aerobactin and salmochelin siderophore synthesis in Klebsiella pneumoniae

BackgroundKlebsiella pneumoniae is a recognised agent of multidrug-resistant (MDR) healthcare-associated infections, however individual strains vary in their virulence potential due to the presence of mobile accessory genes. In particular, gene clusters encoding the biosynthesis of siderophores aerobactin (iuc) and salmochelin (iro) are associated with invasive disease and are common amongst hypervirulent K. pneumoniae clones that cause severe community-associated infections such as liver abscess and pneumonia. Concerningly iuc has also been reported in MDR strains in the hospital setting, where it was associated with increased mortality, highlighting the need to understand, detect and track the mobility of these virulence loci in the K. pneumoniae population.\n\nMethodsHere we examined the genetic diversity, distribution and mobilisation of iuc and iro loci among 2503 K. pneumoniae genomes using comparative genomics approaches, and developed tools for tracking them via genomic surveillance.\n\nResultsIro and iuc were detected at low prevalence (<10%). Considerable genetic diversity was observed, resolving into five iro and six iuc lineages that show distinct patterns of mobilisation and dissemination in the K. pneumoniae population. The major burden of iuc and iro amongst the genomes analysed was due to two linked lineages (iuc1/iro1, 74% and iuc2/iro2, 14%), each carried by a distinct non-self-transmissible IncFIBK virulence plasmid type that we designate KpVP-1 and KpVP-2. These dominant types also carry hypermucoidy (rmpA) determinants and include all previously described virulence plasmids of K. pneumoniae. The other iuc and iro lineages were associated with diverse plasmids, including some carrying FII conjugative transfer regions and some imported from E. coli; the exceptions were iro3(mobilised by ICEKp1), and iuc4 (fixed in the chromosome of K. pneumoniae subspecies rhinoscleromatis). Iro/iuc MGEs appear to be stably maintained at high frequency within known hypervirulent strains (ST23, ST86, etc), but were also detected at low prevalence in others such as MDR strain ST258.\n\nConclusionsIuc and iro are mobilised in K. pneumoniae via a limited number of MGEs. This study provides a framework for identifying and tracking these important virulence loci, which will be important for genomic surveillance efforts including monitoring for the emergence of hypervirulent MDR K. pneumoniae strains.

genomics↗

bioRxiv2017

Frequent emergence of pathogenic lineages of Klebsiella pneumoniae viamobilisation of yersiniabactin and colibactin

Mobile genetic elements (MGEs) that frequently transfer within and between bacterial species play a critical role in bacterial evolution, and often carry key accessory genes that associate with a bacterias ability to cause disease. MGEs carrying antimicrobial resistance (AMR) and/or virulence determinants are common in opportunistic pathogen Klebsiella pneumoniae, which are a leading cause of highly drug-resistant infections in hospitals. Well-characterised virulence determinants in K. pneumoniae include the polyketide synthesis loci ybt and clb (also known as pks), encoding the iron-scavenging siderophore yersiniabactin and genotoxin colibactin respectively. These loci are located within an MGE called ICEKp, which is the most common virulence-associated MGE of K. pneumoniae, providing a mechanism for these virulence factors to spread within the population.\n\nHere we apply population genomics to investigate the prevalence, evolution and mobility of ybt and clb in K. pneumoniae populations through comparative analysis of 2,498 whole genome sequences. The ybt locus was detected in 40% of K. pneumoniae genomes, particularly amongst those associated with invasive infections. We identified 17 distinct ybt lineages and 3 clb lineages, each associated with one of 14 different structural variants of ICEKp. Comparison with the wider Enterobacteriaceae population showed occasional ICEKp acquisition by other members. The clb locus was present in 14% of all K. pneumoniae and 38.4% of ybt+ genomes. Hundreds of independent ICEKp integration events were detected affecting hundreds of phylogenetically distinct K. pneumoniae lineages, including [≥]19 in the globally-disseminated carbapenem-resistant clone CG258. A novel plasmid-encoded form of ybt was also identified, representing a new mechanism for ybt dispersal in K. pneumoniae populations. These data show that MGEs carrying ybt and clb circulate freely in the K. pneumoniae population, including among multidrug-resistant strains, and should be considered a target for genomic surveillance along with AMR determinants.\n\nAUTHOR SUMMARYKlebsiella pneumoniae infections are becoming increasingly difficult to treat with antibiotics. Some K. pneumoniae strains also carry extra genes that allow them to synthesise yersiniabactin, an iron-scavenging molecule, which enhances their ability to cause disease. These genes are located on a genetic element that can easily transfer between strains. Here, we screened 2498 K. pneumoniae genome sequences and found substantial diversity in the yersiniabactin genes and the associated genetic elements, including a novel mechanism of transfer, and detected hundreds of distinct yersiniabactin acquisition events between K. pneumoniae strains. We show that these yersiniabactin mobile genetic elements are specifically adapted to the K. pneumoniae population but also occasionally acquired by other bacterial members belonging to the Enterobacteriaceae family such as E. coli. These insights into the movement and genetics of yersiniabactin genes allow tracking of the evolution and spread of yersiniabactin in global K. pneumoniae populations and monitoring for acquisition of yersiniabactin in antibiotic-resistant strains.

microbiology↗