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PubMed2026

Applicability of Nanopore-only whole-genome sequencing for Pseudomonas aeruginosa outbreak investigation in the ICU setting: a multicentric study.

UNLABELLED: Pseudomonas aeruginosa outbreaks frequently occur in intensive care units (ICUs). In particular, ICU patients requiring mechanical ventilation are vulnerable to P. aeruginosa ventilator-associated pneumonia, which is associated with high morbidity and mortality. Fast and accurate genotyping during the early stage is crucial to document and manage P. aeruginosa outbreaks at the ICU. In this study, we have evaluated the applicability of Oxford Nanopore whole-genome sequencing (WGS) for outbreak investigation and antimicrobial resistance (AMR) prediction. To evaluate whether a Nanopore-only WGS workflow was able to reproduce Illumina-confirmed transmission clusters, 19 P. aeruginosa isolates from ICUs at UZ Brussels (Belgium) that were previously sequenced with Illumina were sequenced using a Nanopore-only workflow based on the latest V14 chemistry, followed by bioinformatic analysis via BugSeq and MBioSEQ Ridom Typer. Although both bioinformatic platforms showed high concordance between Illumina and Nanopore data, MBioSEQ Ridom Typer yielded the lowest allelic distance (maximum one cgMLST allele), confirming all outbreak clusters. When applying the Nanopore-only workflow to longitudinally collected isolates, low genetic heterogeneity (maximum three cgMLST alleles) was observed between isolates from the same patient. WGS and subsequent outbreak analysis of 65 respiratory P. aeruginosa isolates collected from 38 different ICU patients across six Belgian hospitals during a 9-month period showed no intra- or inter-hospital transmission. When the Nanopore-only WGS data were used to predict AMR, there was high categorical agreement (95%) between AMR genotype and phenotype. These findings highlight the potential of Nanopore WGS as a rapid and accurate tool for outbreak investigation of P. aeruginosa. IMPORTANCE: In recent years, Nanopore sequencing has found its way to clinical laboratories because of its affordability, scalability, and, most importantly, its ability to obtain sequencing results in near-real time. However, despite improved raw read accuracies with the latest generation R10.4.1 flow cells, the question remains whether the achieved accuracy is sufficient for accurate bacterial outbreak investigation, particularly in high-risk settings such as intensive care units (ICUs). In this study, we show that Nanopore-only whole-genome sequencing (WGS) is able to match Illumina-only WGS in terms of accuracy for Pseudomonas aeruginosa outbreak investigation in the ICU setting, although important sequence type-dependent and even strain-specific methylation issues need to be resolved in order to guarantee this accuracy. By providing a fast and accurate workflow for reliable P. aeruginosa outbreak investigation, this study could pave the way for large-scale implementation of Nanopore-only WGS, leading to faster outbreak response times.

Humans↗
PubMed2026

CholeraSeq: a comprehensive genomic pipeline for cholera surveillance and near real-time outbreak investigation.

SUMMARY: Next Generation Sequencing is widely deployed in cholera-endemic regions, yet an end-to-end reproducible pipeline that unifies read QC, filtering, reference mapping, variant calling/annotation, recombination screening, and extraction of parsimony informative sites/variant codons, phylogenetic inference for downstream phylodynamic and epidemiological analyses have been lacking, slowing outbreak investigation and public health response. CholeraSeq is a high-throughput genomics pipeline for cholera genomic surveillance. It ingests consensus genomes, short read sequence data, draft assemblies, and scales seamlessly from local to cloud environments. To accelerate epidemiological context placement of new outbreak strains, we provide a curated ready-to-use core genome alignment compiled from public data, enabling flexible, fast, integration of new samples for outbreak investigations. AVAILABILITY AND IMPLEMENTATION: CholeraSeq is freely available on the GitHub platform https://github.com/CERI-KRISP/CholeraSeq. CholeraSeq is implemented in Nextflow with a modular design building upon the nf-core community standards.

Cholera↗
PubMed2024

Circulation of avian Chlamydia abortus in the Netherlands and community-acquired pneumonia: an outbreak investigation and retrospective cohort study.

BACKGROUND: In 2021, a novel group of Chlamydia strains in wild birds was classified as avian Chlamydia abortus, with unknown zoonotic potential. We report relevant features of avian C abortus infections from a Dutch family cluster and unrelated historical cases using clinical, epidemiological, and microbiological data. METHODS: An outbreak of avian C abortus started in the Netherlands in December, 2022. Source investigation was done using questionnaires to interview patients and environmental sampling. The outbreak strain of avian C abortus was cultured from three patients from whom sufficient material was available for culture and underwent whole-genome analysis. The outbreak strains and retrospective cohort study strains previously submitted to the National Human Psittacosis surveillance programme in the Netherlands between 2010 and 2022 were typed by partial ompA sequencing. Strains with the same aberrant ompA genotype were further analysed with XerC gene plasmid analysis and compared with closely related Chlamydia sequences available in GenBank. FINDINGS: An avian C abortus strain caused a cluster of respiratory illness in four family members. Three patients were hospitalised with community-acquired pneumonia, one of whom was admitted to the intensive care unit. The faeces of wild birds were considered a probable source for the index infection. For two family members, human-to-human transmission was a plausible route. Ten historical cases could be identified with avian C abortus with the same ompA genotype. All patients had been admitted to hospital, at least five developed pneumonia, and one died. INTERPRETATION: This cluster supports that avian C abortus strains can cause human infections and underlines that human-to-human transmission should be considered when tracing the source of such infections. FUNDING: National Institute for Public Health and the Environment and Dutch Ministry of Agriculture, Fisheries, Food Security and Nature. TRANSLATION: For the Dutch translation of the abstract see Supplementary Materials section.

Humans↗
PubMed2026

Epidemiological and phylogenetic analysis of anthrax in Kazakhstan in 2024.

BACKGROUND: Anthrax remains an important zoonotic disease in Kazakhstan due to the persistence of environmental reservoirs and long-standing endemic foci. Despite ongoing surveillance, the epidemiological characteristics and genetic diversity of circulating Bacillus anthracis strains in the country remain incompletely understood. METHODS: A retrospective epidemiological and phylogenetic investigation of anthrax outbreaks reported in Kazakhstan during 2024 was conducted. Epidemiological data were collected for all laboratory-confirmed human cases and associated outbreak foci. Confirmation of infection was performed by PCR, and B. anthracis isolates were obtained from clinical, environmental and animal-associated samples. Whole-genome sequencing and core-genome single nucleotide polymorphism (cgSNP) analysis were used to characterize the genetic relationships among isolates and to determine their phylogenetic placement. RESULTS: Nine anthrax outbreaks were identified across four regions of Kazakhstan (Almaty, Zhambyl, Atyrau, and West Kazakhstan), resulting in 20 confirmed human cases. All patients were male, with the highest proportion occurring among individuals aged 36-55 years (45%). The mean patient age was 43.9 years (range: 16-64 years). Most infections were associated with slaughtering infected livestock (65%), followed by handling contaminated meat (15%). PCR confirmed infection in all 20 human cases. Culture yielded 17 human-derived B. anthracis isolates from 14 patients and 17 environmental/animal-derived isolates, resulting in 34 isolates in total. Of these, 22 representative isolates underwent whole-genome sequencing. Phylogenetic analysis revealed the circulation of two major lineages. Isolates from Atyrau and West Kazakhstan clustered within the Trans-Eurasian (TEA/STI) lineage. Atyrau isolates formed a tight cluster differing by only 21-32 cgSNPs, consistent with a shared epidemiolocal source, whereas the West Kazakhstan isolate was highly divergent. Zhambyl and Almaty region belonged to the A.Br.Ames lineage but diverged into two distinct sublineages. Zhambyl region isolates demonstrated minimal divergence from the global reference genome Ames Ancestor, differing by only 16-31 SNPs. Almaty region isolates formed an endemic subclone, separated from the reference group by approximately 114 SNPs. Comparison with the Ames Ancestor and Sterne reference strains demonstrated substantial genetic divergence. CONCLUSION: Anthrax outbreaks in Kazakhstan during 2024 were primarily associated with livestock exposure and occurred within established endemic regions. Whole-genome sequencing revealed the coexistence of distinct TEA and Ames lineages, including evidence of persistent local transmission and long-term evolutionary stability of endemic B. anthracis populations. These findings enhance understanding of anthrax epidemiology in Central Asia and support the integration of genomic surveillance into national outbreak investigation programs.

Anthrax↗
PubMed2026

Gene transfer from NDM-5-producing and OXA-48-producing Enterobacter hormaechei ST79 on contaminated dicloxacillin capsules to other Enterobacterales in Europe, 2020-23: a retrospective, observational, molecular epidemiological study.

BACKGROUND: In February, 2023, an outbreak of Enterobacter hormaechei ST79 carrying blaNDM-5 and blaOXA-48 was linked to contaminated dicloxacillin capsules administered to approximately 79 000 individuals in Denmark. Initial clonal outbreak investigations identified 11 patients with the E hormaechei ST79 outbreak strain, which carried blaNDM-5 on a distinct IncX3 plasmid, and in nine cases, blaOXA-48 was on a distinct IncL plasmid. Interspecies plasmid transfer was observed in one patient, suggesting a potential plasmid-mediated outbreak involving other Enterobacterales. However, no studies have characterised the progression of a clonal outbreak originating from a contaminated medicine into plasmid-mediated dissemination of carbapenemase genes. Hence, we aimed to characterise the clonal and plasmid-mediated spread of carbapenemase genes in this outbreak. METHODS: We conducted a retrospective genomic and epidemiological investigation using existing short-read whole-genome sequencing data from all carbapenemase-producing Enterobacterales (CPE) from the Danish national surveillance, collected between Jan 1, 2014, and Oct 1, 2023. All confirmed CPE isolates were eligible for inclusion. Using in-silico screening for unique fragments of the two outbreak plasmids, we selected 160 isolates for long-read sequencing to obtain complete plasmid sequences for outbreak investigation. Analyses were descriptive and included comparison of sequence identity and coverage to define outbreak-associated plasmids and summary statistics of patient characteristics. FINDINGS: Data from 1829 isolates were obtained. We detected 16 of 53 isolates involved in the outbreak using conventional outbreak detection methods. The remaining 37 isolates were detected using plasmid-specific screening and long-read sequencing. 15 patients carried the outbreak E hormaechei strain, including the 11 patients previously reported. Three of the 15 patients presented with at least one additional bacterial species carrying one or both outbreak plasmids (pDcap_OXA-48 and pDcap_NDM-5). A further 24 patients, sampled between July 1, 2020, and Oct 1, 2023, presented with other Enterobacterales carrying one or both outbreak-associated plasmids but not the original E hormaechei ST79 strain. In four cases, outbreak-associated plasmids differed structurally from the original outbreak plasmid. INTERPRETATION: This study describes how a clonal CPE outbreak caused by a contaminated medicine evolved into a complex plasmid-mediated outbreak involving multiple Enterobacterales species. Most patients related to the outbreak did not present with the original E hormaechei ST79 outbreak strain and were therefore not identified using standard outbreak detection methods. These findings highlight the importance of using plasmid-focused approaches in outbreak investigations. FUNDING: The Danish Ministry of Health, SSI-Seq (cofunded by EU4Health).

Humans↗
PubMed2026

Core genome and whole genome multi-locus sequence typing of Cronobacter isolates.

UNLABELLED: Cronobacter species, especially C. sakazakii and C. malonaticus, are opportunistic pathogens that are linked to severe infections in infants with high case fatality rates. In this study, we investigated whole genome sequencing (WGS) analysis approaches, specifically 7-gene multi-locus sequence typing (7-gene MLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST) to subtype Cronobacter isolates. We analyzed a comprehensive set of 743 Cronobacter isolates derived from clinical, food, and environmental sources. We also evaluated high-quality single nucleotide polymorphism (hqSNP), cgMLST, and wgMLST to cluster epidemiologically related and differentiate sporadic C. sakazakii isolates. Our results indicate that both cgMLST and wgMLST accurately identify closely related isolates and are consistent with epidemiological findings. The allele-based analyses were also comparable with hqSNP analyses, the current gold standard. Our workflow also outputs 7-gene MLST allele calls, Cronobacter sequence types, and clonal complexes, which may be useful for historic comparisons during outbreak investigations. Following the recent classification of Cronobacter infections as nationally notifiable in the United States, our findings demonstrate the efficacy of WGS-based approaches within the PulseNet framework to improve outbreak detection and response strategies for Cronobacter. IMPORTANCE: Cronobacter species, specifically C. sakazakii and C. malonaticus, are opportunistic pathogens linked to severe infections in infants with high case fatality rates. This study highlights the critical importance of advanced molecular techniques in public health surveillance, using whole genome sequencing (WGS) methodologies such as multi-locus sequence typing (7-gene MLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST). The validation of these WGS-based approaches within the PulseNet framework is timely, especially following the recent classification of Cronobacter infections as nationally notifiable in the United States. WGS methods not only enhance outbreak detection but can also inform public health guidance aimed at preventing infections and reducing mortality in vulnerable populations, especially infants. Our research supports implementation of cgMLST as a standardized approach for routine PulseNet surveillance of Cronobacter, with wgMLST and hqSNP analyses providing additional discriminatory power for outbreak investigations and high resolution phylogenetic analysis.

Multilocus Sequence Typing↗
PubMed2026

A standardized, genome-guided MLST scheme for Avibacterium paragallinarum: enhanced epidemiological typing and validation against existing methods.

Avibacterium paragallinarum, the causative agent of infectious coryza (IC), is an important respiratory pathogen of chickens with growing prevalence in commercial and backyard flocks. Current strain-typing methods, including classical serotyping and molecular approaches, such as ERIC-PCR or single-locus HPG2 typing, lack sufficient discriminatory power to investigate the epidemiology or population structure. To address this limitation, we developed a genome-guided multilocus sequence typing (MLST) scheme as a robust and portable tool for A. paragallinarum strain differentiation. Housekeeping genes were identified from 42 whole-genome sequences (WGS); 18 candidates were evaluated; and six were selected for the final MLST scheme. We used the scheme to differentiate 75 A. paragallinarum samples and compared its performance against classical HPG2-based typing, ad hoc core genome MLST (cgMLST), and the MLST scheme published by M. Guo, Y. Jin, H. Wang, X. Zhang, and Y. Wu (Vet Sci 11:208, 2024, https://doi.org/10.3390/vetsci11050208). The new MLST showed higher discriminatory power than HPG2 and outperformed Guo's scheme with higher discriminatory power, particularly for characterizing the samples originating from North and South America. It also showed strong concordance with cgMLST clustering while being more practical for routine use. Overall, the six-locus MLST identified 31 sequence types across 75 samples, revealing epidemiologically meaningful clustering at regional and national scales and capturing temporal persistence of lineages. All allele definitions and sequence types have been deposited in PubMLST, ensuring standardized nomenclature and global accessibility. This scheme represents a reproducible, cost-effective, and globally applicable tool that enhances outbreak investigation, surveillance, and population studies of A. paragallinarum, bridging the gap between low-resolution traditional methods and resource-intensive whole-genome sequencing.IMPORTANCEInfectious coryza (IC) caused by Avibacterium paragallinarum is a major respiratory disease of poultry that causes acute infection, reducing egg production and growth and resulting in significant economic losses in poultry production worldwide. Controlling IC depends on understanding how different strains spread and persist, yet current methods to differentiate strains are either unreliable or too costly for routine use. In this study, we developed a standardized multilocus sequence typing system that provides a simple, accurate, and globally accessible way to identify and compare strains of A. paragallinarum. This scheme identified important links between outbreaks at local and regional levels and showed that certain strains persisted over time. By making the scheme available through PubMLST, laboratories worldwide can use a common tool to track and investigate the pathogen. This accessible tool improves disease surveillance, supports outbreak investigations, and helps poultry producers and veterinarians respond more effectively to IC.

Multilocus Sequence Typing↗
PubMed2025

Temporal reconstruction of a Salmonella Enteritidis ST11 outbreak in New Zealand.

Outbreaks caused by Salmonella Enteritidis are commonly linked to eggs and poultry meat internationally, but this serovar had never been detected in Aotearoa New Zealand (NZ) poultry prior to 2021. Locally designated genomic cluster Salmonella Enteritidis_2019_C_01, was implicated in a 2019 outbreak associated with a restaurant in Auckland. Four Enteritidis_2019_C_01 sub-clusters have since been identified, two retrospectively, in the Auckland region. Authorities initiated a formal outbreak investigation after genomically indistinguishable S. Enteritidis was isolated from the NZ poultry production environment. This study analysed 231 S. Enteritidis genomes obtained from the outbreak using Bayesian phylodynamic tools to gain insight into the outbreak's dynamics and origin. We used Bayesian integrated coalescent epoch plots to estimate the change of the Enteritidis ST11 population size over time and marginal structured coalescent approximation to estimate transmission between poultry producers. We investigated human and poultry isolates to elucidate the time and location of the most recent common ancestor of the outbreak and transmission pathways. The median most recent common ancestor was estimated to be February 2019. We found evidence of amplification and spread of strain Enteritidis_2019_C_01 within the poultry industry, as well as transmission events throughout the production chain. The intervention by the public health and food safety authorities coincided with a drop in the effective population size of the S. Enteritidis ST11 as well as notified human cases. This information is crucial for understanding and preventing the transmission of S. Enteritidis in NZ poultry to ensure poultry meat and eggs are safe for consumption.

Salmonella enteritidis↗
PubMed2026

Population-level genomic surveillance of human norovirus using wastewater-based whole-genome sequencing.

Wastewater-based surveillance has garnered increasing attention as a valuable approach for capturing community-level infection dynamics that are often difficult to detect through clinical reporting systems alone. In this study, we analyzed human norovirus genotype distributions and whole-genome-level variations in wastewater samples collected in Gwangju, Korea. These results were interpreted in conjunction with a documented foodborne outbreak to evaluate the epidemiological relevance of wastewater-based monitoring. Human norovirus concentrations were quantified using TaqMan Array Card-based RT-qPCR, and whole-genome next-generation sequencing (NGS) was performed to obtain viral read counts and reads per kilobase per million filtered reads values. Overall, strong correlations were observed between RT-qPCR-based concentrations and NGS-derived metrics. Genotype dynamics varied among wastewater treatment plants, reflecting differences in catchment size and local population characteristics. In particular, the relative abundance of GII.17[P17] increased during epidemiological week 50, temporally coinciding with a documented local foodborne outbreak. Variant analysis revealed that wastewater samples exhibited mixed nucleotide patterns, with multiple alleles coexisting at varying relative frequencies rather than fixed substitutions. Notably, some nonsynonymous variants detected in clinical samples were also observed in wastewater samples collected surrounding the outbreak period. Together, these findings demonstrate that wastewater-based whole-genome surveillance can capture both genotype-level shifts and nucleotide-level dynamics at the population scale, highlighting its potential as a complementary tool for monitoring community-level norovirus circulation and outbreak-associated genotype dynamics.IMPORTANCEWastewater-based surveillance is increasingly recognized as a promising approach for capturing community-level infection dynamics that are often missed by clinical surveillance. In this study, we applied whole-genome sequencing to wastewater samples collected in Gwangju, South Korea, to comprehensively characterize human norovirus genotype distributions and genetic variation. Distinct genotype patterns were observed across wastewater treatment plants, reflecting differences in catchment population size and local characteristics. Notably, an increase in the GII.17[P17] genotype detected in wastewater coincided with a foodborne outbreak investigated in Gwangju, demonstrating the potential of wastewater surveillance to reflect ongoing community transmission and emerging outbreak-associated genotypes. In addition, wastewater samples contained diverse and coexisting genetic variants, capturing population-level viral diversity and evolutionary dynamics that are not readily detected through clinical surveillance alone. These findings highlight the value of wastewater-based whole-genome surveillance for monitoring community-level viral circulation and support its integration as a complementary strategy to existing clinical surveillance systems.

genotype dynamics↗
PubMed2026

cgDist: Nucleotide-level distance calculation from cgMLST allelic profiles.

Bacterial genomic surveillance requires balancing computational efficiency with genetic resolution for effective cluster investigation. cgMLST distance calculations treat all allelic differences as equivalent units, obscuring nucleotide-level variation. Furthermore, single nucleotide polymorphism-based pipelines provide finer resolution at substantially higher computational cost, which limits their routine deployment in surveillance laboratories. We present cgDist, an algorithm that calculates nucleotide-level distances directly from cgMLST allelic profiles, providing finer resolution than allele-count distances by leveraging within-allele nucleotide variation. The cache architecture stores alignment statistics, enabling distance calculation modes without computation and supporting both dataset-specific and schema-complete cache generation. This design enables incremental surveillance analysis, with performance benefits as laboratories accumulate alignment data. cgDist functions as a precision 'zoom lens' for the investigation of clusters identified through initial cgMLST screening. Rather than restructuring population relationships, this targeted approach concentrates enhanced resolution where it is most informative. The algorithm ensures that cgDist distances are greater than or equal to corresponding cgMLST distances, preserving epidemiological interpretability while adding genetic discrimination. By increasing resolution within identified clusters, cgDist may also support outbreak investigation, a potential application that remains to be evaluated on outbreak-derived data.

Algorithms↗
PubMed1978

Observations on outbreaks of respiratory disease in housed calves--(1) Epidemiological, clinical and microbiological findings.

In 47 of 50 outbreaks of respiratory disease in indoor calves which had never been to grass there was clinical evidence of pneumonia in all animals examined. Calf housing was in most cases considered unsatisfactory. Virus activity was detected in 70 per cent of outbreaks investigated within a few days post onset of respiratory signs. Parainfluenza (PI) 3 and respiratory syncitial virus (RSV) were the viruses most frequently involved. In the majority of outbreaks Mycoplasma species and Pasteurella multocida were present in the upper respiratory tract of affected calves.

Animals↗
PubMed2026

FTIR typing of the emerging NDM-14-producing Klebsiella pneumoniae ST147 clone.

UNLABELLED: The emergence and rapid dissemination of NDM-14-producing Klebsiella pneumoniae ST147 represents a major challenge for infection control, requiring timely and reliable outbreak detection tools. In this study, we evaluated Fourier-transform infrared (FTIR) spectroscopy as a rapid typing method for outbreak investigation and compared its performance with whole-genome sequencing (WGS). A collection of 64 carbapenemase-producing K. pneumoniae isolates, including 30 NDM-14-producing ST147 isolates associated with a regional outbreak in the Canary Islands, was analyzed using FTIR spectroscopy and WGS. FTIR-based clustering was optimized using the polysaccharide spectral region and a customized distance cutoff. Genomic relatedness was assessed using multilocus sequence typing, core-genome single-nucleotide polymorphism (SNP) analysis at multiple thresholds, and clustering agreement indices. FTIR identified a dominant spectral cluster comprising 31 isolates, capturing all outbreak-related isolates with 100% sensitivity and 97% specificity. FTIR clustering showed concordance with genomic outbreak definitions at stringent SNP thresholds (10-18 SNPs), with accuracy exceeding 98%. Pairwise distance analysis revealed low FTIR dissimilarity among closely related isolates, whereas increased dispersion occurred at intermediate genomic distances (15-30 SNPs). Agreement indices showed improved concordance as genomic stringency increased, with the Modified Adjusted Rand Index values reaching 94.75 at the 10-SNP threshold. Importantly, FTIR identified an NDM-14-producing isolate from a distinct clonal background. Overall, FTIR spectroscopy provides a rapid and reliable first-line screening tool for identifying homogeneous outbreak clusters. However, due to lineage-dependent behavior and limited resolution at intermediate genomic distances, WGS remains essential for confirmatory analysis and precise delineation of transmission events. IMPORTANCE: The rapid spread of multidrug-resistant Klebsiella pneumoniae poses a major challenge for infection control, particularly during hospital outbreaks where timely identification of transmission is essential. In this study, we evaluate Fourier-transform infrared (FTIR) spectroscopy as a rapid typing approach and compare its performance with whole-genome sequencing in the context of an outbreak caused by NDM-14-producing K. pneumoniae ST147. Our results show that FTIR can reliably identify highly related isolates within a clonal outbreak, supporting early outbreak recognition. However, its performance is influenced by the underlying genomic structure of the population and may require dataset-specific optimization. These findings highlight the potential of FTIR as a first-line screening tool while emphasizing the need for cautious interpretation and integration with genomic methods for accurate outbreak delineation.

Klebsiella pneumoniae↗
PubMed2026

Nucleic acid amplification testing and genome sequencing for WHO priority viruses in Africa: a scoping review.

Emerging viruses continue to pose serious public health threats across Africa, with recurrent outbreaks exposing gaps in diagnostics and surveillance systems. Nucleic acid amplification tests (NAATs) and genome sequencing are increasingly important for diagnostics and outbreak responses; however, their routine implementation is fragmented. This scoping review examines NAATs and genome sequencing technologies for viral detection and surveillance in Africa from 2019 to 2024, mapped to the 2024 updated WHO R&D Blueprint for Epidemics pathogen priority list. We identified 117 studies from 34 African countries reporting applications across 20 virus families, including ten designated as priorities by WHO. PCR-based assays were the most frequently reported NAATs. Illumina platforms predominated sequencing, and Oxford Nanopore Technologies were commonly used in outbreak investigations. Genome sequencing applied to priority viruses was largely reactive. NAAT-capable mobile laboratories were reported in 13 countries. Our findings underscore the need for proactive integration of NAATs into diagnostic and surveillance systems to strengthen decentralised testing, sustain genomic surveillance beyond outbreak periods, and improve early detection and preparedness for viral threats.

Journal Article↗
PubMed2025

Candida auris outbreak in a cardiothoracic transplant intensive care unit: implications for infection prevention practices and keeping pace with an evolving landscape.

OBJECTIVE: To describe the mitigation strategies for a Candida auris outbreak in a cardiothoracic transplant intensive care unit (CTICU) and its implications for infection prevention practices. DESIGN: Retrospective cohort study from July 2023 to February 2024. SETTING: A large academic medical center. METHODS: A multidisciplinary team convened to conduct the outbreak investigation and develop mitigation strategies in the CTICU. RESULTS: From July 2023 to February 2024, 34 possible hospital-onset cases of C. auris were identified in our CTICU. Whole-genome sequencing and phylogenetic analysis based on pairwise single nucleotide polymorphism (WG-SNP) distance revealed two distinct outbreak clusters. Of the 34 patients, 11 (32.3%) were solid organ transplant recipients and 12 (35.3%) had a mechanical circulatory support device. Of the cohort, only 11/34 (32.3%) had prior exposure to high-risk healthcare facilities within six months prior to admission, as follows: acute inpatient rehabilitation facilities (AIRs) (n = 5, 14.7%), skilled nursing facilities (SNFs) (n = 3, 8.8%), and long-term acute care hospitals (LTACHs) (n = 3, 8.8%). The cohort had a median of 22.0 antibiotic-days prior to their positive results. Five (14.7%) patients had C. auris candidemia, three of whom expired likely due to infection. Infection Prevention (IP) interventions addressed several modes of transmission, including healthcare personnel hands, shared patient equipment, and the environment. CONCLUSION: Our experience suggests that the epidemiology of C. auris may be changing, pointing towards a rising prevalence in acute care settings. IP interventions targeting hand hygiene behavior and promoting centralizing cleaning and disinfection of shared patient equipment may have contributed to outbreak resolution.

Humans↗
PubMed2025

Novel, rapid, and reliable typing of vancomycin-resistant Enterococcus faecium CC17/ST80 strains using MALDI-TOF MS.

Vancomycin-resistant Enterococcus faecium (VREfm) is an important nosocomial pathogen. The recent emergence of the highly virulent clonal complex 17 (CC17) is posing a challenge for both therapeutic interventions and hospital infection control measures. Hence, prompt discrimination of CC17 VREfm from unrelated and less-virulent VREfm strains is essential for preventing its spread in hospitals and beyond. Between January 2022 and November 2024, 340 VREfm primary isolates have been identified in our lab and underwent genotyping by pulsed-field gel electrophoresis (PFGE) to survey a potential outbreak in the Tyrol region. In addition, whole-genome sequencing (WGS) was performed on a selected subset (n = 40). To curtail the lengthy time-to-result (TTR) of these methods, a novel typing protocol using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was established, validated, and optimized for rapid sample processing. PFGE and WGS showed that 61.2% of isolates (n = 208) belonged to a specific VREfm cluster identified as CC17 sequence type (ST) 80 vanA VREfm. A comprehensive MALDI-TOF MS analysis identified a distinct peak pattern specific to this lineage. This phenotypic characterization was used as a novel typing method with excellent performance (sensitivity: 1.00 [0.98-1.00], specificity: 0.89 [0.70-0.97]) and demonstrated a short TTR of 1 day after the cultural growth of VREfm. A rapid and novel MALDI-TOF MS-based typing approach for a specific CC17/ST80 vanA VREfm cluster was developed and enabled real-life application in routine diagnostics to assure accurate infection prevention and control measures. Future outbreak investigations may benefit from adopting this cost- and labor-efficient approach.IMPORTANCEThis study addresses the urgent need for faster ways to detect problematic hospital bacteria. A highly transmissible strain of Enterococcus faecium (CC17) has been spreading in healthcare settings, making infections harder to treat and control. Traditional methods to identify and track outbreaks are accurate but slow and resource-intensive, delaying critical infection control actions. By developing and validating a new method using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, the researchers demonstrated that this strain can be identified quickly, reliably, and at lower cost. Importantly, the new approach delivers results within a day, compared to the lengthy turnaround times of existing methods. This rapid detection tool provides hospitals with a practical solution to respond to outbreaks more effectively, prevent further spread, and protect vulnerable patients. The findings highlight a valuable step forward in strengthening hospital infection control and improving patient safety.

Enterococcus faecium↗
PubMed2026

Improving isolate recovery and identification of the Shiga toxin type in Shiga toxin nucleic acid test-positive feces.

UNLABELLED: Infections caused by Shiga toxin-producing Escherichia coli (STEC) strains carrying Shiga toxin 2 (stx2) are more likely to result in severe complications; however, most nucleic acid amplification tests used for STEC diagnosis do not differentiate between stx1 and stx2. We therefore sought to optimize stx typing and isolate recovery methods to guide clinical and public health management. stx polymerase chain reaction (PCR)-positive feces were cultured using CHROMagar STEC and gram-negative broth, with Stx1 and/or Stx2 antigen detection by enzyme immunoassay (EIA) on colony growth or turbid broth. When cultures were EIA-negative, growth from MacConkey agar (MAC), Trypticase soy broth, and the gram-negative broth was then tested using a lab-developed typing PCR for stx1 and stx2. Colonies were isolated on CHROMagar STEC or MAC and identified using the typing PCR. Using both EIA and typing PCR, the stx types were identified in 96.0% of cases (381/397). In 65.2% (259/397) of cases, culture was EIA-positive, of which 34.0% (87/256) were Stx2-positive. Among cultures that were EIA-negative but typing PCR-positive, 64.8% (79/122) were stx2-positive (P < 0.0001 compared to EIA-positive). Using both EIA and typing PCR resulted in 72.6% (286/394) of cases with successful attempts at isolate recovery, compared to 60.7% (239/394) with EIA alone. E. coli O157 was recovered from more EIA-positive cases (19.3%, 46/239) than EIA-negative ones (4.3%, 2/47) (P = 0.0097). Typing PCR on cultures improves stx typing (particularly stx2) and isolate detection compared to EIA alone. Screening BD Max PCR and subsequent typing PCR results showed excellent concordance. IMPORTANCE: Escherichia coli strains with one or both types of Shiga toxins (stx1 and stx2) are a common cause of bacterial diarrhea and can lead to serious complications such as kidney failure, especially in children. Infection by stx2-positive strains is more likely to do so. Therefore, knowing whether the infection is caused by a strain carrying stx2 is important for risk assessment and case follow-up. The conventional way to diagnose these infections is to grow the bacteria from stool, but most laboratories currently use nucleic acid detection (e.g., bacterial DNA detection by polymerase chain reaction [PCR]), and these assays do not differentiate between the two toxin genes. Culture is therefore required to determine toxin type, as well as for public health outbreak investigations, which require an isolate for whole-genome sequencing for serotyping and cluster analysis. We identified culture media and a PCR-based method to detect stx2 in culture that improved the detection of stx2 and isolate recovery. Our findings provide more accurate results for clinicians to improve patient care and tools for public health teams to control and prevent outbreaks.

Humans↗
PubMed2026

Early use of genomics to guide acquisition investigation of Salmonella Typhi.

BACKGROUND: As most Salmonella Typhi (S. Typhi) cases notified to public health units in Australia are acquired overseas, a case without recent travel raises concerns of local transmission. We describe a case of S. Typhi in a hospital inpatient without recent travel, where early use of genomic sequencing suggested remote acquisition from Chile in the 1980s, with chronic asymptomatic carriage. This facilitated the stand-down of a complex acquisition investigation. CASE: A notification of S. Typhi on stool culture was received for a female aged over 90 years living in Melbourne, Australia in October 2023. She had been hospitalised for three weeks (unrelated illness) and transferred into a residential aged care facility (RACF) six days prior to the result being known. She was asymptomatic and the sample was collected due to a recent ward gastroenteritis outbreak. INVESTIGATION: Epidemiological investigation identified the case had emigrated to Australia in 1981 from Chile. Recent typhoid-like illness, overseas travel or contact with travellers from endemic areas were excluded. Subsequent genomic sequencing identified the isolate was multilocus sequence type 2 and did not cluster with any strains isolated in Victorian or international databases, most closely clustering with historical South American strains, with potential in-host changes over time. MANAGEMENT: The case was presumed infectious throughout their hospital stay, with chronic carriage. There were 18 contacts, of whom 14 provided screening samples and were negative. Antibiotic case clearance was not recommended by the treating clinician due to patient comorbidity, treatment toxicity risks and unlikely treatment success without gallbladder removal. Enhanced infection control measures were instituted in the RACF (e.g. private bathroom, contact precautions for personal care, no food preparation). No additional cases were reported after two incubation periods (60 days). CONCLUSION: Early genomic sequencing enhanced the efficiency of the public health investigation by rapidly confirming overseas acquisition and chronic carriage, obviating the need for extensive local upstream investigation.

Humans↗
PubMed2026

Portable metagenomics for preventive surveillance and outbreak control in livestock and poultry: Pathogen detection, resistome profiling, and antimicrobial stewardship.

Conventional diagnostics for livestock and poultry outbreaks commonly rely on culture or targeted PCR panels, which may be too slow or too narrow to guide early control decisions. Portable metagenomics, particularly real-time nanopore sequencing, offers a route to broad pathogen detection, antimicrobial-resistance gene profiling, and outbreak investigation within an integrated workflow. This implementation-focused review evaluates how near-point-of-care metagenomics may support preventive veterinary medicine through earlier detection, surveillance, cohorting, biosecurity decisions, and antimicrobial stewardship. We synthesize sample-to-answer workflows for enteric and respiratory disease in food-producing animals, including sampling, nucleic-acid extraction, host depletion or target enrichment, library preparation, sequencing, bioinformatics, quality control, and interpretation. Applications in calf diarrhea, bovine respiratory disease, poultry outbreaks, mastitis, and resistome monitoring are considered alongside the central limitation that detection alone does not establish causation. Pathogen and resistance-gene signals must therefore be interpreted with clinical signs, lesions, epidemiology, controls, and confirmatory testing. We also propose a minimum reporting checklist, intended as a practical framework rather than a validated consensus standard. Portable metagenomics is not a replacement for conventional diagnostics, but appropriately validated workflows can reduce uncertainty during time-sensitive outbreaks and support more judicious antimicrobial use.

Animals↗