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McKeand, S. A.

Publications and source records attributed to McKeand, S. A..

5 recordsLinked to original sources

Emergence of short-lived meningococci causing focal epidemics can be associated with gene transfer from carriage-associated Neisseria

In March 2026, an unusually large outbreak of invasive meningococcal disease (IMD) in Kent, UK, was linked to attendance at one nightclub over a single weekend. The outbreak organism was a Neisseria meningitidis variant belonging to the longstanding hyperinvasive genotype, cc41/44. Using genome analysis of six isolates from patients, alongside >48,000 meningococcal genomes, we investigated whether the outbreak variant had acquired traits potentially contributing to the highly invasive phenotype. The six isolates were capsular group B, sequence type (ST-)485, and essentially indistinguishable, consistent with the focal nature of the outbreak. Compared with their closest available relatives, we found changes mediated by phase variation, nucleotide variation, and horizontal gene transfer (HGT) involving adhesins, iron-acquisition systems (including Transferrin and Lactoferrin binding proteins, and FetA), and Type IV pili (Tfp), factors which affect bacteria-bacteria and bacteria-host interactions. These changes occurred in a ST-485 sub-lineage that expressed capsule at high levels and a PorA porin with a truncated surface-exposed epitope, both of which are predicted to reduce immune recognition. Donors for the HGT events were predominantly carriage-associated N. meningitidis and Neisseria cinerea. We show that meningococcal variants responsible for previous focal outbreaks have not been seen subsequently. We propose that focal outbreaks of IMD are caused by meningococcal variants that may have acquired traits from non- or less invasive organisms, but subsequently these variants disappear, as their highly invasive phenotype is inconsistent with sustained transmission. Ongoing disease surveillance alongside carriage studies are therefore essential to inform public health risk and manage epidemic IMD.

genomics↗

Genomic epidemiology of Neisseria gonorrhoeae isolates from the G-ToG clinical trial, 2014-2016

Neisseria gonorrhoeae remains a major public health threat due to rising incidence and increasing antimicrobial resistance (AMR). To characterise the landscape of gonococci circulating in England a decade ago, we analysed whole genome sequences and clinical metadata from 354 isolates collected during the G-ToG clinical trial between 2014 and 2016. Comparison with global datasets demonstrated that the G-ToG isolates captured the breadth of UK gonococcal diversity, mapping across multiple lineages without evidence of marked bias related to participant demographic characteristics. The phylogenetic structure of gonococcal isolates within the collection was strongly shaped by sexual network, with statistically significant clustering of isolates circulating within heterosexual individuals compared with the men who have sex with men (MSM) transmission group. MSM-associated lineages exhibited higher minimum inhibitory concentration (MICs) to azithromycin and ceftriaxone and were enriched for corresponding chromosomal AMR determinants and AMR-associated plasmids. These data provide a valuable baseline preceding the implementation of several major UK public health interventions, including HIV pre-exposure prophylaxis (HIV PrEP), doxycycline post-exposure prophylaxis (Doxy-PEP) and vaccination with Bexsero. Continued integration of genomic and epidemiological surveillance will be essential to monitor whether these interventions reshape gonococcal transmission dynamics and AMR trajectories, guiding future control strategies.

genomics↗

Inhibition of Neisseria gonorrhoeae complement-mediated killing during acute gonorrhoea is dependent upon the IgG2:IgG3 antibody ratio

Excessive binding of antibodies to the bacterial cell surface can paradoxically increase resistance of some Gram-negative pathogens to complement-mediated killing (CMK). We examined CMK of 336 Neisseria gonorrhoeae clinical isolates sampled from participants recruited to a clinical trial. Serum bactericidal assays revealed 3% (9/336) of the autologous participant sera that were tested inhibited CMK. Gonococci isolated from these participants were resistant to the autologous host serum, sensitive to a pool of healthy control sera (HCS) and protected by the host serum in a 1:1 mixture with HCS. Analysis of the clinical metadata showed that there were a significantly higher proportion of inhibitory sera found in participants with urethral infections and from men within the transmission network of men who have sex with women (MSW), when compared to the whole cohort. Following antibody purification from selected participants with inhibitory sera (5/9), IgG and IgM protected the autologous isolates from HCS-mediated killing. Only three of these isolates were protected by purified IgA. A closer examination of IgG subclasses using whole gonococcal cell ELISAs revealed a strong correlation between increased IgG2 binding and decreased IgG3 binding to the bacterial cell surface of isolates that were resistant to CMK. This suggests that IgG2 prevents bactericidal IgG3 from initiating CMK and that the IgG2:IgG3 ratio is important for determining either inhibition or killing of isolates. We therefore reveal a previously unreported mechanism by which inhibitory antibodies prevent CMK of N. gonorrhoeae.

microbiology↗

The inter-continental population dynamics of Neisseria gonorrhoeae

Neisseria gonorrhoeae is a globally distributed sexually transmitted bacterial pathogen. Recent studies have revealed that its evolution has been shaped by antibiotic use, while molecular surveillance efforts have demonstrated large changes in lineage composition over relatively short time-spans. However, the global population dynamics of N. gonorrhoeae remain unsatisfyingly characterized. To reconstruct recent large-scale population dynamics, we generated a dated phylogeny from 9,732 N. gonorrhoeae genomes and found the effective population size of the species to have expanded gradually over the past two centuries. While the effective population size of clades with reduced susceptibility to extended-spectrum cephalosporins started declining around 2010, a major clade containing a mosaic mtr operon associated with cephalosporin susceptibility and decreased azithromycin did not display any reduction in population size. Using ancestral trait reconstruction analyses, we delineated transmission lineages, defined as groups of sequences in which all the samples can be traced back to the same import event to a given location. Import, export and local transmission dynamics across two densely sampled locations (Norway and Victoria, Australia) were investigated in detail. Norway exhibited substantially higher rates of strain import and export compared to Victoria, where incidence was to a larger extent fuelled by locally transmitted lineages. Taken together, our work highlights the power of large-scale phylogenomic analyses to uncover the complex dynamics of lineage transmission in N. gonorrhoeae.

microbiology↗

TraDIS-validate: a method for curating ordered gene-replacement libraries

In recent years the availability of genome sequence information has grown logarithmically resulting in the identification of a plethora of uncharacterised genes. To address this gap in functional annotation, many high-throughput screens have been devised with the goal of uncovering novel gene functions. Gene-replacement libraries are one such tool that can be screened in a high-throughput way to link genotype and phenotype and are key community resources. However, for a phenotype to be attributed to a specific gene, there needs to be confidence in the genotype. Construction of large libraries can be laborious and occasionally errors will arise. Here, we present a rapid and accurate method for the validation of any ordered gene-replacement library. We applied our method (TraDIS-Validate) to the well-known Keio library of Escherichia coli gene-deletion mutants. Our method identified 3,718 constructed mutants out of a total of 3,728 confirmed isolates. TraDIS-validate therefore had a success rate of 99.7% for identifying the correct kanamycin cassette position. This dataset provides a benchmark for the purity of the Keio mutants and a screening method for mapping the position of an antibiotic resistance cassette in any ordered library.

genetics↗