Group B Streptococcus (GBS) causes various infections in adults, including urinary tract infection (UTI) and asymptomatic bacteriuria (ABU). Some bacteria that cause ABU can utilize urine as a substrate for growth, which can promote asymptomatic colonization in the host. An analysis of diverse GBS isolates associated with ABU and UTI for growth in human urine has not been undertaken. Here, we examined a large collection of clinical urinary GBS isolates from individuals with acute UTI (n=62), and ABU with bacteriuria ≥104 c.f.u. ml−1 (n=206) or <104 c.f.u. ml−1 (n=90) for their ability to grow in human urine. Among all 358 GBS isolates analysed, 40 exhibited robust growth in urine in contrast to 25 that were unable to grow and non-culturable after incubation in urine. Growth phenotypes were disproportionately represented among the different groups of isolates, whereby robust growth was significantly more likely to be associated with high-grade ABU versus low-grade ABU or acute UTI (38/40 vs. 11/25; odds ratio 4.6, 95% CI, 1.5–14.8). Growth of bacteria in urine can depend on iron bioavailability, and we therefore performed growth assays using urine supplemented with 2,2-dipyridyl to chelate iron. In contrast to a control strain of ABU Escherichia coli, for which iron limitation significantly attenuated growth, iron sequestration had no significant attenuation effect on the growth of ABU GBS strain 834 in urine. Despite this finding, PCR confirmed the presence of several known growth-associated genes in GBS 834, including fhuD for iron uptake. We conclude that GBS adaptation for growth in human urine is more likely to be associated with high-grade ABU than acute UTI, and for GBS 834, this growth trait is not significantly constrained by conditions of iron sequestration.
We conducted a prospective cohort study of patients with newly acquired extended-spectrum beta-lactamase-producing Enterobacterales (ESBLPE) intestinal colonisation (termed “ESBLPE colonisation”) in two public hospitals between January 2013 and October 2016. We evaluated the duration of ESBLPE colonisation and the impact of selected factors on this duration. Patient data and faeces samples were collected on enrolment and three monthly for 2 years. Standard laboratory methods were used for ESBLPE identification and susceptibility testing. Whole-genome sequencing of isolates was performed determining sequence type, plasmid replicons, antimicrobial resistance genes, virulence factor genes and phylogenetic relationships. The median duration of ESBLPE colonisation for the 102 patients was 544 days (range 77–730 days, interquartile range 220–730 days). After one year and at the end of follow up, 61
Escherichia coli exhibit extensive genetic diversity at the genome level, particularly within their accessory genome. The tRNA integrated genomic islands (GIs), a part of the E. coli accessory genome, play an important role in pathogenicity. However, studies examining the evolution of GIs have been challenging due to their large size, considerable gene content variation and fragmented assembly in draft genomes. Here we examined the evolution of the GI integrated at pheV-tRNA (GI-pheV), with a primary focus on uropathogenic E. coli (UPEC) and the globally disseminated multidrug resistant ST131 clone. We show the gene content of GI-pheV is highly diverse and arranged in a modular configuration, with the P4 integrase encoding gene intP4 the only conserved gene. Despite this diversity, the GI-pheV gene content displayed conserved features among strains from the same pathotype. In ST131, GI-pheV corresponding to the reference strain EC958 (EC958_GI-pheV) was found in ~90% of strains. Phylogenetic analyses suggested that GI-pheV in ST131 has evolved together with the core genome, with the loss/gain of specific modules (or the entire GI) linked to strain specific events. Overall, we show GI-pheV exhibits a dynamic evolutionary pathway, in which modules and genes have evolved through multiple events including insertions, deletions and recombination.
Neonatal meningitis is a devastating disease associated with high mortality and neurological sequelae. Escherichia coli is the second most common cause of neonatal meningitis in full-term infants (herein NMEC) and the most common cause of meningitis in preterm neonates. Here, we investigated the genomic relatedness of a collection of 58 NMEC isolates spanning 1974–2020 and isolated from seven different geographic regions. We show NMEC are comprised of diverse sequence types (STs), with ST95 (34.5%) and ST1193 (15.5%) the most common. No single virulence gene profile was conserved in all isolates; however, genes encoding fimbrial adhesins, iron acquisition systems, the K1 capsule, and O antigen types O18, O75, and O2 were most prevalent. Antibiotic resistance genes occurred infrequently in our collection. We also monitored the infection dynamics in three patients that suffered recrudescent invasive infection caused by the original infecting isolate despite appropriate antibiotic treatment based on antibiogram profile and resistance genotype. These patients exhibited severe gut dysbiosis. In one patient, the causative NMEC isolate was also detected in the fecal flora at the time of the second infection episode and after treatment. Thus, although antibiotics are the standard of care for NMEC treatment, our data suggest that failure to eliminate the causative NMEC that resides intestinally can lead to the existence of a refractory reservoir that may seed recrudescent infection.
Existing tools for phylogeographic and epidemiological visualisation primarily provide a macro-geographic view of epidemic and pandemic transmission events but offer little support for detailed investigation of outbreaks in healthcare settings. Here, we present HAIviz, an interactive web-based application designed for integrating and visualising genomic epidemiological information to improve the tracking of healthcare-associated infections (HAIs). HAIviz displays and links the outbreak timeline, building map, phylogenetic tree, patient bed movements, and transmission network on a single interactive dashboard. HAIviz has been developed for bacterial outbreak investigations but can be utilised for general epidemiological investigations focused on built environments for which visualisation to customised maps is required. This paper describes and demonstrates the application of HAIviz for HAI outbreak investigations.
Antibiotic resistance is a significant global public health concern. Uropathogenic Escherichia coli sequence type (ST)131, a widely prevalent multidrug-resistant clone, is frequently associated with bacteraemia. This study investigates third-generation cephalosporin resistance in bloodstream infections caused by E. coli ST131. From 2013-2014 blood culture surveillance in Wales, 142 E. coli ST131 genomes were studied alongside global data. All three major ST131 clades were represented across Wales, with clade C/ H 30 predominant ( n = 102/142, 71.8%). Consistent with global findings, Welsh strains of clade C/ H 30 contain β -lactamase genes from the bla CTX-M-1 group ( n = 65/102, 63.7%), which confer resistance to third-generation cephalosporins. Most Welsh clade C/ H 30 genomes belonged to sub-clade C2/ H 30Rx (58.3%). A Wales-specific sub-lineage, named GB-WLS.C2, diverged around 1996-2000. An introduction to North Wales around 2002 led to a localised cluster by 2009, depicting limited genomic diversity within North Wales. This investigation emphasises the value of genomic epidemiology, allowing the detection of genetically similar strains in local areas, enabling targeted and timely public health interventions.
Virulence and metabolism are often interlinked to control the expression of essential colonisation factors in response to host-associated signals. Here, we identified an uncharacterised transporter of the dietary monosaccharide ʟ-arabinose that is widely encoded by the zoonotic pathogen enterohaemorrhagic Escherichia coli (EHEC), required for full competitive fitness in the mouse gut and highly expressed during human infection. Discovery of this transporter suggested that EHEC strains have an enhanced ability to scavenge ʟ-arabinose and therefore prompted us to investigate the impact of this nutrient on pathogenesis. Accordingly, we discovered that ʟ-arabinose enhances expression of the EHEC type 3 secretion system, increasing its ability to colonise host cells, and that the underlying mechanism is dependent on products of its catabolism rather than the sensing of ʟ-arabinose as a signal. Furthermore, using the murine pathogen Citrobacter rodentium, we show that ʟ-arabinose metabolism provides a fitness benefit during infection via virulence factor regulation, as opposed to supporting pathogen growth. Finally, we show that this mechanism is not restricted to ʟ-arabinose and extends to other pentose sugars with a similar metabolic fate. This work highlights the importance integrating central metabolism with virulence regulation in order to maximise competitive fitness of enteric pathogens within the host-niche.
Streptococcus dysgalactiae subsp. equisimilis (SDSE) is an emerging cause of human infection with invasive disease incidence and clinical manifestations comparable to the closely related species, Streptococcus pyogenes . Through systematic genomic analyses of 501 disseminated SDSE strains, we demonstrate extensive overlap between the genomes of SDSE and S. pyogenes . More than 75% of core genes are shared between the two species with one third demonstrating evidence of cross-species recombination. Twenty-five percent of mobile genetic element (MGE) clusters and 16 of 55 SDSE MGE insertion regions were shared across species. Assessing potential cross-protection from leading S. pyogenes vaccine candidates on SDSE, 12/34 preclinical vaccine antigen genes were shown to be present in >99% of isolates of both species. Relevant to possible vaccine evasion, six vaccine candidate genes demonstrated evidence of inter-species recombination. These findings demonstrate previously unappreciated levels of genomic overlap between these closely related pathogens with implications for streptococcal pathobiology, disease surveillance and prevention.
Fluoroquinolone-resistant Escherichia coli sequence type (ST)1193 is a profound, emerging lineage associated with systemic, urinary tract, and neonatal infections. Humans, companion animals, and the environment are reservoirs for ST1193, which has been disseminated globally. Following its detection in 2007, ST1193 has been identified repeatedly amongst fluoroquinolone-resistant clones in Australia. However, despite the growing importance of ST1193, only three complete genomes are published in the literature, none of which are from Australia. Here we expand on the available ST1193 resources with the complete genomes of five ST1193 strains sequenced using Oxford Nanopore Technologies and Illumina. Using in silico genotyping, we found that all strains were multi-drug resistant, including resistances to fluoroquinolones and cephalosporins. In vitro antibiotic susceptibility testing mostly correlated with individual genotypes. The exception was MS8320, which had additional in vitro resistance to piperacillin/tazobactam, ampicillin/sulbactam, cefazolin and doripenem (carbapenem). Further investigation identified seven additional copies of an IS26 transposable unit carrying a blaTEM-1B beta-lactamase gene, suggesting this tandem amplification is associated with extended resistance phenotypes. Uropathogenicity factors, including three separate siderophore-encoding loci, were conserved in chromosomal and plasmid regions. Using all complete genomes, we further elucidated the recombination events surrounding the previously described K5/K1 capsular loci switch. Phenotypic confirmation of differing capsules in Australian ST1193 strains, coupled with genetic analysis revealing insertions downstream of the capsular locus, underscored the genetic distinctions between K5 and K1 capsule encoding strains. This study provides five new reference ST1193 genomes from Australia. These include the earliest complete K5-capsule ST1193 genomes on record (collected 2007), alongside our reference genome (MS10858); a clinical isolate obtained early during the ST1193 expansion and representative of the predominant K1-associated clade. These findings lay the foundations for further genomic and molecular analyses that may help understand the underlying reasons for the rapid global expansion of ST1193.
Fluoroquinolone-resistant Escherichia coli sequence type (ST)1193 is a profound, emerging lineage associated with systemic, urinary tract, and neonatal infections. Humans, companion animals, and the environment are reservoirs for ST1193, which has been disseminated globally. Following its detection in 2007, ST1193 has been identified repeatedly amongst fluoroquinolone-resistant clones in Australia. However, despite the growing importance of ST1193, only three complete genomes are published in the literature, none of which are from Australia. Here we expand on the available ST1193 resources with the complete genomes of five ST1193 strains sequenced using Oxford Nanopore Technologies and Illumina. Using in silico genotyping, we found that all strains were multi-drug resistant, including resistances to fluoroquinolones and cephalosporins. In vitro antibiotic susceptibility testing mostly correlated with individual genotypes. The exception was MS8320, which had additional in vitro resistance to piperacillin/tazobactam, ampicillin/sulbactam, cefazolin and doripenem (carbapenem). Further investigation identified seven additional copies of an IS26 transposable unit carrying a blaTEM-1B beta-lactamase gene, suggesting this tandem amplification is associated with extended resistance phenotypes. Uropathogenicity factors, including three separate siderophore-encoding loci, were conserved in chromosomal and plasmid regions. Using all complete genomes, we further elucidated the recombination events surrounding the previously described K5/K1 capsular loci switch. Phenotypic confirmation of differing capsules in Australian ST1193 strains, coupled with genetic analysis revealing insertions downstream of the capsular locus, underscored the genetic distinctions between K5 and K1 capsule encoding strains. This study provides five new reference ST1193 genomes from Australia. These include the earliest complete K5-capsule ST1193 genomes on record (collected 2007), alongside our reference genome (MS10858); a clinical isolate obtained early during the ST1193 expansion and representative of the predominant K1-associated clade. These findings lay the foundations for further genomic and molecular analyses that may help understand the underlying reasons for the rapid global expansion of ST1193.
Bacteria adapt to selective pressure in their immediate environment in multiple ways. One mechanism involves the acquisition of independent mutations that disable or modify a key pathway, providing a signature of adaptation via convergent evolution. Extra-intestinal pathogenic Escherichia coli (ExPEC) belonging to sequence type 95 (ST95) represent a global clone frequently associated with severe human infections including acute pyelonephritis, sepsis, and neonatal meningitis. Here, we analysed a publicly available dataset of 613 ST95 genomes and identified a series of loss-of-function mutations that disrupt cellulose production or its modification in 55.3% of strains. We show the inability to produce cellulose significantly enhances ST95 invasive infection in a rat model of neonatal meningitis, leading to the disruption of intestinal barrier integrity in newborn pups and enhanced dissemination to the liver, spleen and brain. Consistent with these observations, disruption of cellulose production in ST95 augmented innate immune signalling and tissue neutrophil infiltration in a mouse model of urinary tract infection. Mutations that disrupt cellulose production were also identified in other virulent ExPEC STs, Shigella and Salmonella , suggesting a correlative association with many Enterobacteriaceae that cause severe human infection. Together, our findings provide an explanation for the emergence of hypervirulent Enterobacteriaceae clones.
Vancomycin-resistant Enterococcus faecium (VREfm) is a leading cause of health care-associated infections (HAIs) globally. In Australia, the spread of hospital-adapted VREfm is largely driven by a single clonal group (clonal complex [CC]), CC17, to which the lineage ST78 belongs.
Background: Cluster and transmission analysis utilising pairwise SNP distance are increasingly used in genomic epidemiological studies. However, current methods are often challenging to install and use, and lack interactive functionalities for easy data exploration.Results: GraphSNP is an interactive visualisation tool running in a web browser that allows users to rapidly generate pairwise SNP distance networks, investigate SNP distance distributions, identify clusters of related organisms, and reconstruct transmission routes. The functionality of GraphSNP is demonstrated using examples from recent multi-drug resistant bacterial outbreaks in healthcare settings. Conclusions: GraphSNP is freely available at https://github.com/nalarbp/graphsnp. An online version of GraphSNP, including demonstration datasets, input templates, and quick start guide is available for use at https://graphsnp.fordelab.com.
Background Carbapenem resistant Acinetobacter baumannii (CRAb) is categorised by the World Health Organization (WHO) as a pathogen of critical concern. However, little is known about CRAb transmission within the Oceania region. This study addresses this knowledge gap by using molecular epidemiology to characterise the phylogenetic relationships of CRAb isolated in hospitals in Fiji, Samoa, and other countries within the Oceania region including Australia and New Zealand, and India from South Asia.Methods In this multicountry cohort study, we analysed clinical isolates of CRAb collected from the Colonial War Memorial Hospital (CWMH) in Fiji from January through December 2019 (n = 64) and Tupua Tamasese Mea'ole Hospital (TTMH) in Samoa from November 2017 through June 2021 (n = 32). All isolates were characterised using mass spectrometry, antimicrobial susceptibility testing, and whole-genome sequencing. For CWMH, data were collected on clinical and demographic characteristics of patients with CRAb, duration of hospital stay, mortality and assessing the appropriateness of meropenem use from the treated patients who had CRAb infections. To provide a broader geographical context, CRAb strains from Fiji and Samoa were compared with CRAb sequences from Australia collected in 2016-2018 (n = 22), New Zealand in 2018-2021 (n = 13), and India in 2019 (n = 58), a country which has close medical links with Fiji. Phylogenetic relationships of all these CRAb isolates were determined using differences in core genome SNPs.Findings Of CRAb isolates, 49 (77%) of 64 from Fiji and all 32 (100%) from Samoa belonged to CRAb sequence type 2 (ST2). All ST2 isolates from both countries harboured blaOXA-23, blaOXA-66 and ampC-2 genes, mediating resistance to beta-lactam antimicrobials, including cephalosporins and carbapenems. The blaOXA-23 gene was associated with two copies of ISAba1 insertion element, forming the composite transposon Tn2006, on the chromosome. Two distinct clusters (group 1 and group 2) of CRAb ST2 were detected in Fiji. The first group shared common ancestral linkage to all CRAb ST2 collected from Fiji's historic outbreak in 2016/2017, Samoa, Australia and 54% of total New Zealand isolates; they formed a single cluster with a median (range) SNP difference of 13 (0-102). The second group shared common ancestral linkage to 3% of the total CRAb ST2 isolated from India. Fifty eight of the 64 patients with CRAb infections at the CWMH had their first positive CRAb sample collected 72 h or more following admission. Meropenem use was deemed inappropriate in 15 (48%) of the 31 patients that received treatment with meropenem in Fiji. Other strains of CRAb ST1, ST25, ST107, and ST1112 were also detected in Fiji.Interpretation We identified unrecognised outbreaks of CRAb ST2 in Fiji and Samoa that linked to strains in other parts of Oceania and South Asia. The existence of Tn2006, containing the blaOXA-23 and ISAba1 insertion element, within CRAb ST2 from Fiji and Samoa indicates the potential for high mobility and dissemination. This raises concerns about unmitigated prolonged outbreaks of CRAb ST2 in the two major hospitals in Fiji and Samoa. Given the magnitude of this problem, there is a need to re-evaluate the current strategies used for infection prevention and control, antimicrobial stewardship, and public health measures locally and internationally. Moreover, a collaborative approach to AMR surveillance within the Oceania region with technical, management and budgetary support systems is required to prevent introduction and control transmission of these highly problematic strains within the island nation health systems.Copyright (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
AbstractNeonatal meningitis is a devastating disease associated with high mortality and neurological sequelae.Escherichia coliis the second most common cause of neonatal meningitis in full-term infants (herein NMEC) and the most common cause of meningitis in preterm neonates. Here we investigated the genomic relatedness of a collection of 58 NMEC isolates spanning 1974-2020 and isolated from seven different geographic regions. We show NMEC are comprised of diverse sequence types (STs), with ST95 (34.5%) and ST1193 (15.5%) the most common. No single virulence factor was conserved in all isolates; however, genes encoding fimbrial adhesins, iron acquisition systems, the K1 capsule, and O antigen types O18, O75 and O2 were most prevalent. Antibiotic resistance genes occurred infrequently in our collection. We also monitored the infection dynamics in three patients that suffered recrudescent invasive infection caused by the original infecting isolate despite appropriate antibiotic treatment based on antibiogram profile and resistance genotype. These patients exhibited severe gut dysbiosis. In one patient, the causative NMEC isolate was also detected in the fecal flora at the time of the second infection episode and after treatment. Thus, although antibiotics are the standard of care for NMEC treatment, our data suggests that failure to eliminate the causative NMEC that resides intestinally can lead to the existence of a refractory reservoir that may seed recrudescent infection.
ABSTRACTBackgroundProspective whole-genome sequencing (WGS)-based surveillance may be the optimal approach to rapidly identify transmission of multi-drug resistant (MDR) bacteria in the healthcare setting.Materials/methodsWe prospectively collected methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), carbapenem-resistant Acinetobacter baumannii (CRAB), extended-spectrum beta-lactamase (ESBL-E) and carbapenemase-producing Enterobacterales (CPE) isolated from blood cultures, sterile sites or screening specimens across three large tertiary referral hospitals (2 adult, 1 paediatric) in Brisbane, Australia. WGS was used to determine in silico multi-locus sequence typing (MSLT) and resistance gene profiling via a bespoke genomic analysis pipeline. Putative transmission events were identified by comparison of core genome single nucleotide polymorphisms (SNPs). Relevant clinical meta-data were combined with genomic analyses via customised automation, collated into hospital-specific reports regularly distributed to infection control teams.ResultsOver four years (April 2017 to July 2021) 2,660 isolates were sequenced. This included MDR gram-negative bacilli (n=293 CPE, n=1309 ESBL), MRSA (n=620) and VRE (n=433). A total of 379 clinical reports were issued. Core genome SNP data identified that 33% of isolates formed 76 distinct clusters. Of the 76 clusters, 43 were contained to the three target hospitals, suggesting ongoing transmission within the clinical environment. The remaining 33 clusters represented possible inter-hospital transmission events or strains circulating in the community. In one hospital, proven negligible transmission of non-multi-resistant MRSA enabled changes to infection control policy.ConclusionsImplementation of routine WGS for MDR pathogens in clinical laboratories is feasible and can enable targeted infection prevention and control interventions.SummaryWe initiated a program of routine sequencing of multi-drug resistant organisms. A custom analysis pipeline was used to automate reporting by incorporating clinical meta-data with genomics to define clusters and support infection control interventions.
Even in the setting of optimal resuscitation in high-income countries severe sepsis and septic shock have a mortality of 20–40%, with antibiotic resistance dramatically increasing this mortality risk. To develop a reference dataset enabling the identification of common bacterial targets for therapeutic intervention, we applied a standardized genomic, transcriptomic, proteomic and metabolomic technological framework to multiple clinical isolates of four sepsis-causing pathogens: Escherichia coli , Klebsiella pneumoniae species complex, Staphylococcus aureus and Streptococcus pyogenes . Exposure to human serum generated a sepsis molecular signature containing global increases in fatty acid and lipid biosynthesis and metabolism, consistent with cell envelope remodelling and nutrient adaptation for osmoprotection. In addition, acquisition of cholesterol was identified across the bacterial species. This detailed reference dataset has been established as an open resource to support discovery and translational research.
Many antibiotic resistant uropathogenic Escherichia coli (UPEC) strains belong to clones defined by their multilocus sequence type (ST), with ST131 being the most dominant. Although we have a good understanding of resistance development to fluoroquinolones and third-generation cephalosporins by ST131, our understanding of the virulence repertoire that has contributed to its global dissemination is limited. Here we show that the genes encoding Afa/Dr fimbriae, a group of adhesins strongly associated with UPEC that cause gestational pyelonephritis and recurrent cystitis, are found in approximately one third of all ST131 strains. Sequence comparison of the AfaE adhesin protein revealed a unique allelic variant carried by 82.9% of afa-positive ST131 strains. We identify the afa regulatory region as a hotspot for the integration of insertion sequence (IS) elements, all but one of which alter afa transcription. Close investigation demonstrated that the integration of an IS1 element in the afa regulatory region leads to increased expression of Afa/Dr fimbriae, promoting enhanced adhesion to kidney epithelial cells and suggesting a mechanism for altered virulence. Finally, we provide evidence for a more widespread impact of IS1 on ST131 genome evolution, suggesting that IS dynamics contribute to strain level microevolution that impacts ST131 fitness. IMPORTANCE E. coli ST131 is the most common antibiotic resistant UPEC clone associated with human urinary tract and bloodstream infections. Understanding the features of ST131 that have driven its global dissemination remains a critical priority if we are to counter its increasing antibiotic resistance. Here, we utilized a large collection of ST131 isolates to investigate the prevalence, regulation, and function of Afa/Dr fimbriae, a well-characterized UPEC colonization and virulence factor. We show that the afa genes are found frequently in ST131 and demonstrate how the integration of IS elements in the afa regulatory region modulates Afa expression, presenting an example of altered virulence capacity. We also exploit a curated set of ST131 genomes to map the integration of the antibiotic resistance-associated IS1 element in the ST131 pangenome, providing evidence for its widespread impact on ST131 genome evolution.
Fish mortality caused by Streptococcus iniae is a major economic problem in 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 nine 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 probably due to misassembly in the genomes of isolates ISET0901 and ISNO. Long -range PCR confirmed five rRNA loci in the PacBio assembly of QMA0248, and, unlike S. iniae 89353, no tandemly repeated rRNA loci in the consensus genome. However, we found sequence read evidence that the tandem rRNA repeat existed within a subpopulation of the original QMA0248 culture. Subsequent nanopore sequencing revealed that the tandem rRNA repeat was the most prevalent genotype, suggesting that there is selective pressure to maintain fewer rRNA copies under uncertain laboratory conditions. 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.
Motivation:Whole genome sequencing (WGS) is revolutionizing disease surveillance where it facilitates high-resolution clustering of related organism and outbreak detection. However, visualizing and efficiently communicating genomic data back to clinical staff is crucial for the successful deployment of a targeted infection control response. Results:CATHAI (cluster analysis tool for healthcare-associated infections) is an interactive web-based visualization platform that couples WGS informed clustering with associated metadata, thereby converting sequencing data into informative and accessible clinical information for the management of healthcare-associated infections (HAI) and nosocomial outbreaks. Availability and implementation:All code associated with this application are free available from https://github.com/FordeGenomics/cathai. A demonstration version of CATHAI is available online at https://cathai.fordelab.com.