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Forde, B. M.

Publications and source records attributed to Forde, B. M..

16 recordsLinked to original sources

Disruption of cAMP Signalling and RNA Regulation Confers Cefiderocol Resistance in Acinetobacter baumannii

Cefiderocol is a siderophore-conjugated cephalosporin used to treat severe multidrug-resistant Gram-negative infections. Its recent prioritisation for US national preparedness underscores its clinical importance, yet resistance can emerge despite apparent in vitro susceptibility. Here, we identify two regulatory routes to cefiderocol resistance in carbapenem-resistant Acinetobacter baumannii (CRAB): mutation of the cAMP-producing adenylate cyclase CavA and truncation of the glycine-rich RNA-binding domain of the post-transcriptional regulator Hfq. These variants occurred in contemporary clinical isolates, conferred resistance in a murine CRAB lung-infection model and imposed minimal fitness costs. In Escherichia coli, deletion of the CavA orthologue cyaA increased competitive fitness during sub-inhibitory cefiderocol exposure. Hfq-CLASH and integrated omics revealed Hfq-dependent regulation of Fur-associated iron homeostasis in A. baumannii. Under iron limitation, truncated-Hfq induced a defence-primed state that attenuated siderophore uptake and reduced cefiderocol activity. These findings identify bacterial regulatory state and iron availability as determinants of cefiderocol susceptibility, with implications for resistance surveillance and susceptibility testing.

microbiology↗

Cross-species convergence of surface polysaccharides shapes the virulence of an atypical carbapenem resistant uropathogenic Escherichia coli clone

Carbapenem-resistant Escherichia coli (CREC) is an emerging global health threat associated with limited treatment options and increased mortality. Here, analysis of 20,331 E. coli genomes from urinary tract infection (UTI) and urine samples identifies phylogroup A sequence type 361 (ST361) as an emerging CREC clone associated with UTI. Phylogenetic and phylodynamic analyses reveal two dominant ST361 clades that emerged in Asia around 2006 and subsequently disseminated intercontinentally. ST361 exhibits near pan-drug resistance, with blaNDM-5 conferring carbapenem resistance. In silico capsule and O-antigen typing reveals a highly conserved Klebsiella-like surface polysaccharide serotype in 95.9% of ST361 genomes, which we show contributes to virulence in UTI and catheter-associated UTI mouse models. Analysis of the mobile genetic elements harbouring blaNDM-5 in ST361 and other CREC further reveals a dynamic interplay between plasmid transfer and insertion elements that contributes to blaNDM-5 dissemination. Together, these findings identify ST361 as an emerging UTI-associated CREC clone and reveal the convergence of clonal expansion, virulence-associated surface architecture and mobile genetic elements in its spread.

microbiology↗

SeaB is a conserved Salmonella enterica extracellular matrix binding protein involved in biofilm formation and infection

Salmonella enterica is a leading cause of gastroenteritis worldwide. Exacerbating this issue is the emergence of multi-drug-resistant strains, posing a major threat to human health. Type 5 secretion system proteins play a major role in virulence and are viable vaccine targets. However, only a limited number of these proteins have been functionally characterized to date. In this study, we characterized SeaB, which belongs to the Type 5a secretion system. We demonstrated that SeaB is localized to the cell surface and is involved in binding to the extracellular matrix. Our results indicate that SeaB is involved in aggregation, biofilm formation and contributes to virulence. Furthermore, immunization with SeaB elicits antibodies and provides protection against Salmonella challenge in a mouse model of infection.

microbiology↗

Ciprofloxacin resistance in Klebsiella pneumoniae: phenotype prediction from genotype and global distribution of resistance determinants

BACKGROUNDCiprofloxacin resistant Klebsiella pneumoniae is common or emerging in many geographies, and knowledge of local resistance rates is important for empirical therapy. Whilst there are known K. pneumoniae ciprofloxacin resistance determinants, there is a lack of systematic data on the effect of determinants, alone and in combination, and there are no publicly accessible tools for predicting resistance from whole genome sequence data. METHODSThe KlebNET-GSP AMR Genotype-Phenotype Group aggregated a matched genotype-phenotype dataset of n=12,167 K. pneumoniae species complex (KpSC) isolates from 27 countries between 2001-2021. We developed a rules-based classifier to predict ciprofloxacin resistance by categorizing the number of quinolone resistance determining regions mutations in gyrA and parC, the number of plasmid-mediated quinolone resistance genes, and the presence/absence of aac(6')-Ib-cr (which can acetylate ciprofloxacin). Predictive performance was assessed using the discovery dataset, for which we re-phenotyped discrepant isolates; and validated using externally contributed datasets (n=7,030 KpSC isolates). RESULTSThe rules-based classifier predicted R vs S/I with categorical agreement, sensitivity, and specificity >96%, and major/very major error rates <4%. Performance was similar across diverse KpSC sources (human, animal, other), species, and intra-species lineages. External validation of the classifier yielded overall 93.12% categorical agreement [95% confidence interval (CI), 92.50-93.74%], 8.65% major errors [95% CI, 7.34-9.97%], and 6.20% very major errors [95% CI, 5.51-6.90%]. We implemented the classifier in Kleborate, a command-line tool that is integrated into the Pathogenwatch web platform. Using this to assess the global distribution of ciprofloxacin resistance determinants in KpSC genomes available in Pathogenwatch (n=31,319, from 109 countries between years 2000-2023), we observed a significant positive association between national quinolone consumption rates and predicted ciprofloxacin resistance (R2=0.20, p=0.004). CONCLUSIONS Ciprofloxacin resistance phenotypes can be reasonably predicted from genotypes, which is sufficient for informing surveillance. However, unexplained resistance remains and accuracy is insufficient for clinical applications. We demonstrate the value of aggregating genotype-phenotype data to explore resistance mechanisms and develop predictors, but highlight complexities in combining phenotype data from different assays and standards.

genomics↗

Interactive data analysis and reporting with SCIFR: A Single-File SPA Approach

The increasing complexity and scale of genomics data demand reporting solutions that are both interactive and easy to share. Here, we present SCIFR, a framework for creating self-contained, single-file interactive reports. SCIFR merges template-based flexibility with web app interactivity. Demonstrated with BLITSFR (comparative genomics) and METAXSFR (metagenomics), SCIFR outperforms established frameworks in efficiency and usability. The platform and tools are openly available, enabling next-generation, shareable reporting across diverse applications.

bioinformatics↗

Identification of new genes on a whole genome scale using saturated reporter transposon mutagenesis

Small or overlapping genes are prevalent across all domains of life but are often overlooked for annotation and function because of challenges in their detection. The advent of high-density mutagenesis and data-mining studies suggest the existence of further coding potential within bacterial genomes. To overcome limitations in existing protein detection methods, we applied a genetics-based approach. We combined transposon insertion sequencing with a translation reporter to identify translated open reading frames throughout the genome at scale, independent of genome annotation. We applied our method to the well-characterised species Escherichia coli and identified [~]200 putative novel protein coding sequences (CDS). These are mostly short CDSs (<50 amino acids) and in some cases highly conserved. We validated the expression of selected CDSs demonstrating the utility of this approach. Despite the extensive study of E. coli, this method revealed proteins that have not been described previously, including proteins that are conserved and neighbour functionally important genes, suggesting significant functional roles of these small proteins. We present this as a complementary method to whole cell proteomics and ribosome trapping for condition-dependent identification of protein CDSs, and as a high-throughput method for testing conditional gene expression. We anticipate this technique will be a starting point for future high-throughput genetics investigations to determine the existence of unannotated genes in multiple bacterial species.

microbiology↗

Misregulation of mitochondrial 6mA promotes the propagation of mutant mtDNA and causes aging in C. elegans

In virtually all eukaryotes, the mitochondrial genome (mitochondrial DNA, mtDNA) encodes proteins necessary for oxidative phosphorylation (OXPHOS) and the RNA machinery required for their synthesis inside the mitochondria. Appropriate regulation of mtDNA copy number and expression is essential for ensuring the correct stoichiometric formation of OXPHOS complexes assembled from both nuclear- and mtDNA-encoded subunits. The mechanisms of mtDNA regulation are not completely understood but are essential to organismal viability and lifespan. Here, using multiple approaches, we identify the presence of N6-methylation (6mA) on the mtDNA of diverse animal and plant species. Importantly, we also demonstrate that this modification is regulated in C. elegans by the DNA methyltransferase DAMT-1, and DNA demethylase ALKB-1, which localize to mitochondria. Misregulation of mtDNA 6mA through targeted overexpression of these enzymatic activities inappropriately alters mtDNA copy number and expression, impairing OXPHOS function and producing increased oxidative stress, as well as a shortened lifespan. Compounding defects in mtDNA regulation, reductions in mtDNA 6mA methylation promote the propagation of a deleterious mitochondrial genome across generations. Together, these results reveal that mtDNA 6mA is highly conserved among eukaryotes and regulates lifespan by influencing mtDNA copy number, expression, and heritable mutation levels in vivo.

molecular biology↗

An optimised method for bacterial nucleic acid extraction from positive blood culture broths for whole genome sequencing, resistance phenotype prediction and downstream molecular applications

BackgroundA prerequisite to rapid molecular detection of pathogens causing bloodstream infections is an efficient, cost effective and robust DNA extraction solution. We describe methods for microbial DNA extraction direct from positive blood culture broths, suitable for metagenomic sequencing and the application of machine-learning based tools to predict antimicrobial susceptibility. MethodsProspectively collected culture-positive blood culture broths with Gram-negative bacteria, were directly extracted using various commercially available kits. We compared methods for efficient inhibitor removal, avoidance of DNA shearing or degradation, to achieve DNA of high quality and purity. Bacterial species identified via whole-genome metagenomic sequencing (Illumina, MiniSeq) from blood culture extracts were compared to conventional methods from cultured isolates (Vitek MS). A machine-learning algorithm (AREScloud) was used to predict susceptibility against commercially available antibiotics, compared to susceptibility testing (Vitek 2) and other commercially available rapid diagnostic instruments (Accelerate Pheno and BCID). ResultsA two-kit method using a modified MolYsis Basic kit (for host DNA depletion) and extraction using Qiagen DNeasy UltraClean microbial kits resulted in optimal extractions appropriate for multiple molecular applications, including PCR, short-read and long-read sequencing. DNA extracts from 40 blood culture broths were included. Taxonomic profiling by direct metagenomic sequencing matched species identification by conventional methods in 38/40 (95%) of samples, with two showing agreement to genus level. In two polymicrobial samples, a second organism was missed by sequencing. Whole genome sequencing antimicrobial susceptibility testing (WGS-AST) models were able to accurately infer profiles for 6 common pathogens against 17 antibiotics. Overall categorical agreement (CA) was 95%, with 11% very major errors (VME) and 3.9% major errors (ME). CA for WGS-AST was >95% for 5/6 of the most common pathogens (E. coli, K. pneumoniae, P. mirabilis, P. aeruginosa and C. jejuni) while it was lower for K. oxytoca (66.7%), likely due to the presence of inducible cephalosporinases. Performance of WGS-AST was sub-optimal for uncommon pathogens (e.g. Elizabethkingia) and some combination antibiotic compounds (e.g. ticarcillin-clavulanate). Time to pathogen identification and resistance gene detection was fastest with BCID (1 h from blood culture positivity). Accelerate Pheno provided a rapid MIC result in approximately 8 h. While Illumina based direct metagenomic sequencing did not result in faster turn-around times compared conventional methods, use of real-time nanopore sequencing may allow faster data acquisition. ConclusionsThe application of direct metagenomic sequencing from positive blood culture broths is a feasible approach and solves some of the challenges of sequencing from low-bacterial load samples. Machine-learning based algorithms are also accurate for common pathogen / drug combinations, although additional work is required to optimise algorithms for uncommon species and more complex resistance genotypes, as well as streamlining methods to provide more rapid sequencing results.

microbiology↗

MicroPIPE: An end-to-end solution for high-quality complete bacterial genome construction

Oxford Nanopore Technology (ONT) long-read sequencing has become a popular platform for microbial researchers; however, easy and automated construction of high-quality bacterial genomes remains challenging. Here we present MicroPIPE: a reproducible end-to-end bacterial genome assembly pipeline for ONT and Illumina sequencing. To construct MicroPIPE, we evaluated the performance of several tools for genome reconstruction and assessed overall genome accuracy using ONT both natively and with Illumina. Further validation of MicroPIPE was carried out using 11 sequence type (ST)131 Escherichia coli and eight publicly available Gram-negative and Gram-positive bacterial isolates. MicroPIPE uses Singularity containers and the workflow manager Nextflow and is available at https://github.com/BeatsonLab-MicrobialGenomics/micropipe.

bioinformatics↗

Strain and lineage-level methylome heterogeneity in the multi-drug resistant pathogenic Escherichia coli ST101 clone

Escherichia coli Sequence Type (ST)101 is an emerging, multi-drug resistant lineage associated with carbapenem resistance. We recently completed a comprehensive genomics study on mobile genetic elements (MGEs) and their role in blaNDM-1 dissemination within the ST101 lineage. DNA methyltransferases (MTases) are also frequently associated with MGEs, with DNA methylation guiding numerous biological processes including genomic defence against foreign DNA and regulation of gene expression. The availability of Pacific Biosciences Single Molecule Real Time Sequencing data for seven ST101 strains enabled us to investigate the role of DNA methylation on a genome-wide scale (methylome). We defined the methylome of two complete (MS6192 and MS6193) and five draft (MS6194, MS6201, MS6203, MS6204, MS6207) ST101 genomes. Our analysis identified 14 putative MTases and eight N6-methyladenine DNA recognition sites, with one site that has not been described previously. Furthermore, we identified a Type I MTase encoded within a Transposon 7-like Transposon and show its acquisition leads to differences in the methylome between two almost identical isolates. Genomic comparisons with 13 previously published ST101 draft genomes identified variations in MTase distribution, consistent with MGE differences between genomes, highlighting the diversity of active MTases within strains of a single E. coli lineage. It is well established that MGEs can contribute to the evolution of E. coli due to their virulence and resistance gene repertoires. This study emphasises the potential for mobile genetic elements to also enable highly similar bacterial strains to rapidly acquire genome-wide functional differences via changes to the methylome. Impact StatementEscherichia coli ST101 is an emerging human pathogen frequently associated with carbapenem resistance. E. coli ST101 strains carry numerous mobile genetic elements that encode virulence determinants, antimicrobial resistance, and DNA methyltransferases (MTases). In this study we provide the first comprehensive analysis of the genome-wide complement of DNA methylation (methylome) in seven E. coli ST101 genomes. We identified a Transposon carrying a Type I restriction modification system that may lead to functional differences between two almost identical genomes and showed how small recombination events at a single genomic region can lead to global methylome changes across the lineage. We also showed that the distribution of MTases throughout the ST101 lineage was consistent with the presence or absence of mobile genetic elements on which they are encoded. This study shows the diversity of MTases within a single bacterial lineage and shows how strain and lineage-specific methylomes may drive host adaptation. Data SummarySequence data including reads, assemblies and motif summaries have previously been submitted to the National Center for Biotechnology Information (https://www.ncbi.nlm.nih.gov) under the BioProject Accessions: PRJNA580334, PRJNA580336, PRJNA580337, PRJNA580338, PRJNA580339, PRJNA580341 and PRJNA580340 for MS6192, MS6193, MS6194, MS6201, MS6203, MS6204 and MS6207 respectively. All supporting data, code, accessions, and protocols have been provided within the article or through supplementary data files.

genomics↗

Complete genome sequence and comparative genomics of the fish pathogen Streptococcus iniae QMA0248

Fish mortality caused by Streptococcus iniae is a major economic problem in fish aquaculture in warm and temperate regions globally. There is also risk of zoonotic infection by S. iniae through handling of contaminated fish. In this study, we present the complete genome sequence of S. iniae strain QMA0248, isolated from farmed barramundi in South Australia. The 2.12 Mb genome of S. iniae QMA0248 carries a 32 Kb prophage, a 12 Kb genomic island, and 92 discrete insertion sequence (IS) elements. These include 9 novel IS types that belong mostly to the IS3 family. Comparative and phylogenetic analysis between S. iniae QMA0248 and publicly available complete S. iniae genomes revealed discrepancies that are likely due to misassembly in the genomes of isolates ISET0901 and ISNO. We also determined by long-range PCR that a tandem duplication of an rRNA region in the PacBio assembly of QMA0248 was an assembly error. A similar rRNA duplication in the PacBio genome of S. iniae 89353 may also be a misassembly. Our study not only highlights assembly problems in existing genomes, but provides a high quality reference genome for S. iniae QMA0248, including manually curated mobile genetic elements, that will assist future S. iniae comparative genomic and evolutionary studies.

microbiology↗

Intensive infection control responses and whole genome sequencing to interrupt and resolve widespread transmission of OXA-181 Escherichia coli in a hospital setting

BackgroundOXA-48-like carbapenemases have become increasingly prevalent in healthcare settings worldwide. Their low-level activity against carbapenems makes them difficult to identify, causing problems for infection control. Here we present an outbreak of Escherichia coli producing OXA-181 (part of the OXA-48 family of carbapenemases) in a Queensland Hospital, and describe how we used whole genome sequencing (WGS) to identify the outbreak strain, determine the extent of transmission within the hospital and support infection control responses. Methods116 isolates were collected and sequenced on an Illumina NextSeq to determine species, sequence type (ST) and presence of resistance genes. Core single nucleotide polymorphisms were used to determine strain relatedness. Three isolates were also sequenced on an Oxford Nanopore MinION to determine the context of the resistance genes. ResultsOf 116 isolates, 85 (84 E. coli and one K. pneumoniae) from 78 patients (and two environmental sources) were related to the ongoing outbreak. The outbreak E. coli strain was found to be ST38 and carried blaOXA-181, blaCTX-M-15 and qnrS1 genes. Long read sequencing revealed blaOXA-181 to be carried on an IncX3 plasmid with qnrS1. blaCTX-M-15 was chromosomally integrated (via ISEcp1 insertion) in close proximity to a second qnrS1 gene. A search of the laboratory database identified an isolate with an identical unusual antibiogram from a patient recently admitted to a hospital in Vietnam, suggesting that the strain was introduced to the hospital. This conclusion was supported by WGS, as comparison of the strain to public data identified a close match to an E. coli recovered from Vietnam in 2011. ConclusionA blaOXA-181-carrying E. coli ST38 strain was introduced to a Brisbane hospital and spread undetected throughout multiple wards over several months. Using WGS, we characterized the outbreak strain and unambiguously detected its presence throughout the hospital. We show how both WGS and infection control measures can be utilized to effectively terminate widespread transmission of an elusory pathogen.

microbiology↗

Genomic characterisation and context of the blaNDM-1 carbapenemase in Escherichia coli ST101.

Carbapenems are last-resort antibiotics; however, the spread of plasmid-encoded carbapenemases such as the New Delhi metallo-{beta}-lactamase 1 (NDM-1) challenges their effectiveness. The rise of NDM-1 has coincided with the emergence of extensively multidrug resistant (MDR) lineages such as Escherichia coli ST101. Here we present a comprehensive genomic analysis of seven E. coli ST101 isolates that carry the blaNDM-1 gene. We determined the complete genomes of two isolates and the draft genomes of five isolates, enabling complete resolution of the plasmid context of blaNDM-1. Comparisons with thirteen previously published ST101 genomes revealed a monophyletic lineage within the B1 phylogroup forming two clades (designated Clade 1 and Clade 2). Most Clade 1 strains are MDR, encoding resistance to at least 9 different antimicrobial classes, including extended spectrum cephalosporins. Additionally, we characterised different pathways for blaNDM-1 carriage and persistence in the ST101 lineage. For IncC plasmids, carriage was associated with recombination and local transposition events within the antibiotic resistance island. In contrast, we revealed recent transfer of a large blaNDM-1 resistance island between F-type plasmids. The complex acquisition pathways characterised here highlight the benefits of long-read Single Molecule Real Time sequencing in revealing evolutionary events that would not be apparent by short-read sequencing alone. These high-quality E. coli ST101 genomes will provide an important reference for further analysis of the role of mobile genetic elements in this emerging multidrug resistant lineage. ImportanceCarbapenem resistant Escherichia coli are urgent priority organisms as they are resistant to our drugs of last resort. E. coli ST101 have been reported as carriers of the New Delhi Metallo-beta-Lactamase 1 gene (blaNDM-1), conferring resistance to carbapenems, however there is limited genomic information available for this lineage. In this study we used long-read genome sequencing to characterise the complete genomes of two E. coli ST101 strains and determine the carriage of blaNDM-1 in a collection of E. coli ST101 strains. We showed that carriage of blaNDM-1 and resistance determinants to eight other antimicrobial classes was confined to a single clade. We also showed two different pathways for the carriage of blaNDM-1, which was dependent on the type of plasmid. Long-read sequencing allowed us to show the full complexities of these resistance regions and highlighted how strains from an emerging E. coli lineage have become resistant to nearly all available antimicrobials.

genomics↗

The evolution of nitroimidazole antibiotic resistance in Mycobacterium tuberculosis

Our inability to predict whether certain mutations will confer antibiotic resistance has made it difficult to rapidly detect the emergence of resistance, identify pre-existing resistant populations and manage our use of antibiotics to effective treat patients and prevent or slow the spread of resistance. Here we investigated the potential for resistance against the new antitubercular nitroimidazole prodrugs pretomanid and delamanid to emerge in Mycobacterium tuberculosis, the causative agent of tuberculosis (TB). Deazaflavin-dependent nitroreductase (Ddn) is the only identified enzyme within M. tuberculosis that activates these prodrugs, via an F420H2-dependent reaction. We show that the native menaquinone-reductase activity of Ddn is important in aerobic respiration and essential for emergence from dormancy, which suggests that for resistance to spread and pose a threat to human health, the native activity of Ddn must be at least partially retained. We tested 75 unique mutations, including all known sequence polymorphisms identified among ~15,000 sequenced M. tuberculosis genomes. Several mutations abolished pretomanid activation in vitro, without causing complete loss of the native activity. We confirmed that a transmissible M. tuberculosis isolate from the hypervirulent Beijing family already possesses one such mutation and is resistant to pretomanid, even though it was never exposed to pretomanid. Notably, delamanid was still effective against this strain, which is consistent with structural analysis that indicates delamanid and pretomanid bind to Ddn differently. We suggest that the mutations identified in this work be monitored for informed use of delamanid and pretomanid treatment and to slow the emergence of resistance.

molecular biology↗

SMRT sequencing reveals differential patterns of methylation in two O111:H- Shiga toxigenic Escherichia coli isolates from a historic hemolytic uremic syndrome outbreak in Australia

Shiga toxigenic Escherichia coli (STEC) are important food-borne pathogens and a major cause of haemorrhagic colitis and haemolytic-uremic syndrome (HUS) worldwide. In 1995 a severe HUS outbreak in Adelaide occurred. A recent genomic analysis of STEC O111:H-strains 95JB1 and 95NR1 from this outbreak found that the more virulent isolate, 95NR1, harboured two additional copies of the Shiga toxin 2 (Stx2) genes although the structure of the Stx2-converting prophages could not be fully resolved due to the fragmented assembly. In this study we have used Pacific Biosciences (PacBio) single molecule real-time (SMRT) long read sequencing to characterise the complete epigenome (genome and methylome) of 95JB1 and 95NR1. Using long reads we completely resolved the structure of two, tandemly inserted, stx2-converting phage in 95NR1. Our analysis of the methylome of 95NR1 and 95JB1 identified hemi-methylation of a novel motif (5-CTGCm6AG-3) in more than 4000 sites in the 95NR1 genome. These sites were entirely unmethalyted in the 95JB1, including at least 180 potential promoter regions that could explain regulatory differences between the strains. We identified a Type IIG methyltransferase encoded in both genomes in association with three additional genes in an operon-like arrangement. IS1203 mediated disruption of this operon in 95JB1 is the likely cause of the observed differential patterns of methylation between 95NR1 and 95JB1. This study demonstrates the enormous potential of PacBio SMRT sequencing to resolve complex prophage regions and reveal the genetic and epigenetic heterogeneity within a clonal population of bacteria.

genomics↗

Genomic investigation of an outbreak of carbapenemase-producing Enterobacter cloacae: long-read sequencing reveals the context of blaIMP4 on a widely distributed IncHI2 plasmid

Carbapenem-resistant Enterobacteriaceae (CRE) represent one of the most urgent threats to human health posed by antibiotic resistant bacteria. Enterobacter hormaechei and other members of the Enterobacter cloacae complex are the most commonly encountered Enterobacter spp. within clinical settings, responsible for numerous outbreaks and ultimately poorer patient outcomes. Here we applied three complementary whole genome sequencing (WGS) technologies to characterise a hospital cluster of blaIMP-4 carbapenemase-producing E. hormaechei.\n\nIn response to a suspected CRE outbreak in 2015 within an Intensive Care Unit (ICU)/Burns Unit in a Brisbane tertiary referral hospital we used Illumina sequencing to determine that all outbreak isolates were sequence type (ST)90 and near-identical at the core genome level. Comparison to publicly available data unequivocally linked all 10 isolates to a 2013 isolate from the same ward, confirming the hospital environment as the most likely original source of infection in the 2015 cases. No clonal relationship was found to IMP-4-producing isolates identified from other local hospitals. However, using Pacific Biosciences long-read sequencing we were able to resolve the complete context of the blaIMP-4 gene, which was found to be on a large IncHI2 plasmid carried by all IMP-4-producing isolates. Continued surveillance of the hospital environment was carried out using Oxford Nanopore long-read sequencing, which was able to rapidly resolve the true relationship of subsequent isolates to the initial outbreak. Shotgun metagenomic sequencing of environmental samples also found evidence of ST90 E. hormaechei and the IncHI2 plasmid within the hospital plumbing.\n\nOverall, our strategic application of three WGS technologies provided an in-depth analysis of the outbreak, including the transmission dynamics of a carbapenemase-producing E. hormaechei cluster, identification of possible hospital reservoirs and the full context of blaIMP-4 on a multidrug resistant IncHI2 plasmid that appears to be widely distributed in Australia.

genomics↗