Fanny Wegner

Capnocytophaga canimorsus (C. canimorsus) is a zoonotic pathogen transmitted by dogs and cats that can cause severe infections in humans. Antimicrobial susceptibility data remain limited, but increasing genomic evidence suggests that functional β-lactamase genes may be more widespread than previously recognized. Three C. canimorsus isolates harboring class D β-lactamase genes were selected by genomic screening from a larger collection of the Global Capnocytophaga Consortium for detailed characterization: two isolates from human clinical infections from Sweden and New Zealand, and a commensal canine isolate from the Czech Republic. We used hybrid Illumina-Nanopore genome assemblies, phylogenetic analysis, and structural modeling to characterize the genomic context and the predicted protein features of the β-lactamase genes. The functional impact of the β-lactamases on antibiotic activity was assessed by minimum inhibitory concentration (MIC) testing and confirmed through recombinant expression in the β-lactamase-negative reference strain C. canimorsus 5 (Cc5). We detected bla_OXA-347 in a canine isolate and, for the first time, in a clinical C. canimorsus isolate from human infection. Additionally, we identified a previously uncharacterized allele, newly designated bla_OXA-1422, in another clinical isolate. Both β-lactamases were chromosomally encoded without clear mobile genetic elements and were part of a distinct phylogenetic cluster within the OXA family. Structural modeling showed conserved class D β-lactamase architecture. Strains carrying either gene had elevated MICs for multiple β-lactams, and expression of each gene in Cc5 recapitulated these effects. The identification and phenotypic characterization of OXA-type β-lactamases in clinical C. canimorsus isolates refine our understanding of β-lactamase diversity in this species and underscore the need for systematic investigations of β‑lactamase prevalence in this zoonotic pathogen.

The third Bacterial Genome Sequencing Pan-European Network conference, held in Engelberg, Switzerland (12–15 January 2026), brought together experts from six European countries to discuss the implementation of bacterial genome sequencing in clinical microbiology and public health. Key themes included regulatory frameworks (In Vitro Diagnostic Regulation, General Data Protection Regulation), standardization, quality control, data sharing, economic evaluation, and the integration of artificial intelligence and long-read sequencing into diagnostic workflows. Across presentations, panel discussions, and workshops, participants emphasized that successful implementation of genome sequencing requires more than technical capacity: it depends on robust validation, sustainable funding, interoperable data standards, ethical governance, and interdisciplinary collaboration. The meeting highlighted that sequencing should remain question-driven and clinically meaningful, balancing cost, turnaround time, and public health impact. Overall, the conference reinforced the need for coordinated European efforts to advance responsible, standardized, and sustainable genomic surveillance and diagnostics.

Graphical We describe a new lineage of Chlamydia trachomatis lymphogranuloma venereum identified in Argentina, carrying ompA-genotype L4. We also present further diversification of the globally circulating L2b lineage.

Graphical Using target enrichment, RNA baits designed around a panel of bacterial sexually transmitted infections were used to fish target DNA from the clinical sample, leading to complete bacterial genome sequences.

Whole genome analysis has provided us with insights into the evolution of Chlamydia trachomatis and recently into circulating strains which cause lymphogranuloma venereum (LGV). A large LGV outbreak of a new ompA -genotype, L2b, was first reported in Europe in the early 2000s, primarily affecting men who have sex with men (MSM), and then expanded globally. More recent work shows this outbreak diversifying into variants of described ompA -genotypes, with the same L2b genomic backbone. This study extends the investigation of LGV cases to Argentina and Finland. In 2017, an LGV outbreak was described in Argentina characterized by distinct genomic features shown by both ompA -genotyping and MLST analysis. We have obtained whole genome sequences from cultured isolates and clinical samples via SureSelect (Agilent) target enrichment. Based on ompA and phylogenetic analyses, we describe further diversity within the ompA -genotype L2b clade, illustrating the transmission dynamics in both Argentina and Finland. A key finding is that of a novel clade of Argentinian samples, characterised by a proposed new ompA -genotype L4. Additionally, we present the genome sequence of a non-LGV strain associated with anorectal proctitis. These findings contribute to the investigation of LGV evolution, particularly with the presence of the novel L4 lineage, and provide insights into genomic diversity and transmission dynamics of C. trachomatis . Graphical Impact statement: The phylogeny of C. trachomatis has been described in several publications and has been clear for a decade. The evolution of this STI in the intervening years also informs a great deal about the transmission opportunities and selective pressures that the intracellular bacterium is under. Through genome sequencing, also directly from clinical samples, we provide the first LGV genomes from Argentina and Finland, and describe further evidence of global circulation of the ompA -genotype L2b lineage. We describe a fully novel lineage of LGV C. trachomatis , from Argentina, proposed as ompA -genotype L4. We also find evidence of a strain causing proctitis from the urogenital lineage. Together, these provide significant new findings in the investigation of C. trachomatis . Data summary: All illumina sequence data, with human read data removed using Hostile (1) and KrakenTools ( https://github.com/jenniferlu717/KrakenTools ), is deposited with the European Nucleotide Archive (ENA) under project number PRJEB72167.

Rates of bacterial sexually transmitted infections (STIs) are rising and accessing their genomes provides information on strain evolution, circulating strains, and encoded antimicrobial resistance (AMR). Notable pathogens include Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG) and Treponema pallidum (TP), globally the most common bacterial STIs. Mycoplasma genitalium (MG) is also a bacterial STI which is of concern due to AMR development. These bacteria are also fastidious or hard to culture, and standard sampling methods lyse bacteria, completely preventing pathogen culture. Clinical samples contain large amounts of human and other microbiota DNA. These factors hinder the sequencing of bacterial STI genomes. We aimed to overcome these challenges in obtaining whole genome sequences, and evaluated four approaches using clinical samples from Argentina (39), Switzerland (14), and cultured samples from Finland (2) and Argentina (1). First, direct genome sequencing from swab samples was attempted through Illumina deep metagenomic sequencing, showing extremely low levels of target DNA, with under 0.01% of the sequenced reads being from the target pathogens. Second, host DNA depletion followed by Illumina sequencing was not found to produce enrichment in these very low load samples. Third, we tried a selective long-read approach with the new adaptive sequencing from Oxford Nanopore Technologies (ONT), which also did not improve enrichment sufficiently to provide genomic information. Finally, target enrichment using a novel pan-genome set of custom SureSelect probes targeting CT, NG, TP, and MG followed by Illumina sequencing was successful. We produced whole genomes from 64% of CT positive samples; from 36% of NG positive samples, and from 60% of TP positive samples. Additionally, we enriched MG DNA to gain partial genomes from 60% of samples. This is the first publication to date to utilize a pan-genome STI panel in target enrichment. Target enrichment, though costly, proved essential for obtaining genomic data from clinical samples. This data can be utilized to examine circulating strains, genotypic resistance, and guide public health strategies. Graphical Impact statement: Genome data on circulating sexually transmitted infections (STIs) is important to better understand transmission networks, antimicrobial resistance and to guide treatment decisions. For many bacterial STIs, this information is difficult to obtain, as the bacteria are fastidious, in some cases intracellular, and often recalcitrant to culture. We have developed and tested a target enrichment STI panel of baits to capture whole genomes of Chlamydia trachomatis , Neisseria gonorrhoeae , Treponema pallidum, and Mycoplasma genitalium with approximately 50% success in genome sequencing for the first three pathogens. We compare this against other sequencing and enrichment methods, which did not provide sufficient data for genome analysis. This panel approach shows potential for clinical samples carrying these pathogens and can potentially also be developed for further pathogen groups. Data summary: All illumina sequence data, with human read data removed using Hostile (1) and KrakenTools ( https://github.com/jenniferlu717/KrakenTools ), is deposited with the European Nucleotide Archive (ENA) under project number PRJEB72167.

During the SARS-CoV-2 pandemic, many countries directed substantial resources toward genomic surveillance to detect and track viral variants. There is a debate over how much sequencing effort is necessary in national surveillance programs for SARS-CoV-2 and future pandemic threats. We aimed to investigate the effect of reduced sequencing on surveillance outcomes in a large genomic data set from Switzerland, comprising more than 143k sequences. We employed a uniform downsampling strategy using 100 iterations each to investigate the effects of fewer available sequences on the surveillance outcomes: (i) first detection of variants of concern (VOCs), (ii) speed of introduction of VOCs, (iii) diversity of lineages, (iv) first cluster detection of VOCs, (v) density of active clusters, and (vi) geographic spread of clusters. The impact of downsampling on VOC detection is disparate for the three VOC lineages, but many outcomes including introduction and cluster detection could be recapitulated even with only 35% of the original sequencing effort. The effect on the observed speed of introduction and first detection of clusters was more sensitive to reduced sequencing effort for some VOCs, in particular Omicron and Delta, respectively. A genomic surveillance program needs a balance between societal benefits and costs. While the overall national dynamics of the pandemic could be recapitulated by a reduced sequencing effort, the effect is strongly lineage-dependent—something that is unknown at the time of sequencing—and comes at the cost of accuracy, in particular for tracking the emergence of potential VOCs. IMPORTANCE: Switzerland had one of the most comprehensive genomic surveillance systems during the COVID-19 pandemic. Such programs need to strike a balance between societal benefits and program costs. Our study aims to answer the question: How would surveillance outcomes have changed had we sequenced less? We find that some outcomes but also certain viral lineages are more affected than others by sequencing less. However, sequencing to around a third of the original effort still captured many important outcomes for the variants of concern such as their first detection but affected more strongly other measures like the detection of first transmission clusters for some lineages. Our work highlights the importance of setting predefined targets for a national genomic surveillance program based on which sequencing effort should be determined. Additionally, the use of a centralized surveillance platform facilitates aggregating data on a national level for rapid public health responses as well as post-analyses.

Background: During the SARS-CoV-2 pandemic, many countries directed substantial resources towards genomic surveillance to detect and track viral variants. There is a debate over how much sequencing effort is necessary in national surveillance programs for SARS-CoV-2 and future pandemic threats. Aim: We aimed to investigate the effect of reduced sequencing on surveillance outcomes in a large genomic dataset from Switzerland, comprising more than 143k sequences. Methods: We employed a uniform downsampling strategy using 100 iterations each to investigate the effects of fewer available sequences on the surveillance outcomes: (i) first detection of variants of concern (VOCs), (ii) speed of introduction of VOCs, (iii) diversity of lineages, (iv) first cluster detection of VOCs, (v) density of active clusters, and (vi) geographic spread of clusters. Results: The impact of downsampling on VOC detection is disparate for the three VOC lineages, but many outcomes including introduction and cluster detection could be recapitulated even with only 35% of the original sequencing effort. The effect on the observed speed of introduction and first detection of clusters was more sensitive to reduced sequencing effort for some VOCs, in particular Omicron and Delta, respectively. Conclusion: A genomic surveillance program needs a balance between societal benefits and costs. While the overall national dynamics of the pandemic could be recapitulated by a reduced sequencing effort, the effect is strongly lineage dependent – something that is unknown at the time of sequencing – and comes at the cost of accuracy, in particular for tracking the emergence of potential VOCs.

Background: We sought to decipher transmission pathways in healthcare-associated infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within our hospital by epidemiological work-up and complementary whole genome sequencing (WGS). We report the findings of the four largest epidemiologic clusters of SARS-CoV-2 transmission occurring during the second wave of the pandemic from 11/2020 to 12/2020. Methods: At the University Hospital Basel, Switzerland, systematic outbreak investigation is initiated at detection of any nosocomial case of SARS-CoV-2 infection, as confirmed by polymerase chain reaction, occurring more than five days after admission. Clusters of nosocomial infections, defined as the detection of at least two positive patients and/or healthcare workers (HCWs) within one week with an epidemiological link, were further investigated by WGS on respective strains. Results: The four epidemiologic clusters included 40 patients and 60 HCWs. Sequencing data was available for 70% of all involved cases (28 patients and 42 HCWs), confirmed epidemiologically suspected in house transmission in 33 cases (47.1% of sequenced cases) and excluded transmission in the remaining 37 cases (52.9%). Among cases with identical strains, epidemiologic work-up suggested transmission mainly through a ward-based exposure (24/33, 72.7%), more commonly affecting HCWs (16/24, 66.7%) than patients (8/24, 33.3%), followed by transmission between patients (6/33, 18.2%), and among HCWs and patients (3/33, 9.1%, respectively two HCWs and one patient). Conclusions: Phylogenetic analyses revealed important insights into transmission pathways supporting less than 50% of epidemiologically suspected SARS-CoV-2 transmissions. The remainder of cases most likely reflect community-acquired infection randomly detected by outbreak investigation. Notably, most transmissions occurred between HCWs, possibly indicating lower perception of the risk of infection during contacts among HCWs.