Biology subjects

Geoghegan, J.

Publications and source records attributed to Geoghegan, J..

4 recordsLinked to original sources

bioRxiv2026

Microaerobic Copper Stress Redirects Pyruvate Metabolism and Reveals a CopL-linked Nitrogen Response in Staphylococcus aureus.

Copper is both an essential enzyme cofactor and an antimicrobial agent deployed by the host immune system to eradicate micro-organisms. The epidemic community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) lineage USA300 carries mobile genetic elements that encode copX/B and copL, conferring hyper-resistance to copper, but the role of CopL beyond extracellular copper sequestration remains unclear. We have combined RNA sequencing with targeted metabolite assays under microaerobic conditions, more reflective of host environments, to define key copper induced responses in WT and copL mutant strains. Subinhibitory copper exposure in microaerobic conditions triggered a distinctive transcriptional response across multiple biological functions. Unlike previous studies, copper exposure did not induce an oxidative stress response. Instead, classical copper resistance, teichoic acid modification, immune-evasion factors and core metabolic genes were induced, while genes for stress responses, metal homeostasis and virulence were repressed. Gene set enrichment analysis (GSEA) identified regulation by multiple global regulators, e.g. SigB, CodY, CcpA, Agr and Sae. Copper exposure affected metabolism, redirecting pyruvate flux toward acetoin and lactate production rather than acetate, accompanied by coordinated shifts in TCA cycle and amino acid pathways, including glutamate accumulation. Inactivation of copL revealed a distinct adaptive response, with strong induction of nitrogen metabolism genes and nitrite reduction. Together, these data show that copper functions as a regulatory signal, triggering coordinated transcriptional and metabolic remodelling that potentiates S. aureus fitness in the host.

microbiology↗

bioRxiv2026

Rapid GeneXpert surveillance of influenza A virus in seabirds and the environment provides early warning for wildlife health in Aotearoa New Zealand

The global expansion of highly pathogenic avian influenza (HPAI) virus A(H5N1) underscores the need for rapid surveillance at high-risk wildlife interfaces. Taiaroa Head (45.7828{degrees} S, 170.7333{degrees} E) in the South Island of Aotearoa New Zealand hosts a plethora of aquatic wildlife including a large red-billed gull (Chroicocephalus novaehollandiae scopulinus) colony as well as the only mainland breeding colony of northern royal albatross (Diomedea sanfordi). The Royal Albatross Centre is also a major nature tourism destination, attracting tens of thousands of visitors annually, thereby creating a dense ecological and human-wildlife interface vulnerable to viral incursion. We evaluated the GeneXpert II platform using the Xpert(R) Xpress Flu/RSV cartridge as a field-deployable tool for avian influenza virus detection in environmental and wildlife-associated samples. The assay detected synthetic influenza A viral RNA and multiple endemic low pathogenic avian influenza virus subtypes (A(H3N8), A(H1N9), A(H5N2) and A(H7N7)) circulating in New Zealand birds. Influenza A virus was reliably identified in spiked environmental water samples with no consistent PCR inhibition as well as naturally occurring avian influenza virus in duck pond water. Field deployment demonstrated that the system could be operated by non-laboratory personnel with minimal training in a non-clinical setting. This study establishes the feasibility of near-real-time environmental monitoring. Repurposing clinical cartridge-based point-of-care diagnostics offers a practical early warning approach for avian influenza virus surveillance at ecologically and economically significant locations.

microbiology↗

bioRxiv2018

Mobile genetic element-encoded hypertolerance to copper protects Staphylococcus aureus from killing by host phagocytes

Pathogens are exposed to toxic levels of copper during infection and copper tolerance may be a general virulence mechanism used by bacteria to resist host defences. In support of this, inactivation of copper-exporter genes has been found to reduce the virulence of bacterial pathogens in vivo. Here we investigate the role of copper-hypertolerance in methicillin resistant Staphylococcus aureus. We show that a copper-hypertolerance locus (copB-mco), carried on a mobile genetic element, is prevalent in a collection of invasive S. aureus strains and more widely among clonal complex 22, 30 and 398 strains. The copB and mco genes encode a copper efflux pump and a multicopper oxidase, respectively. Isogenic mutants lacking copB or mco had impaired growth in subinhibitory concentrations of copper. Transfer of a copB-mco encoding plasmid to a naive clinical isolate resulted in a gain of copper hypertolerance and enhanced bacterial survival inside primed macrophages. The copB and mco genes were upregulated within infected macrophages and their expression was dependent on the copper sensitive operon repressor CsoR. Isogenic copB and mco mutants were impaired in their ability to persist intracellularly in macrophages and were less resistant to phagocytic killing in human blood than the parent strain. The importance of copper-regulated genes in resistance to phagocytic killing was further elaborated using mutants expressing a copper-insensitive variant of CsoR. Our findings suggest that the gain of mobile genetic elements carrying copper-hypertolerance genes contributes to the evolution of virulent strains of S. aureus, better equipped to resist killing by host immune cells.

microbiology↗

bioRxiv2017

Inferring demographic parameters in bacterial genomic data using Bayesian and hybrid phylogenetic methods

BackgroundRecent developments in sequencing technologies make it possible to obtain genome sequences from a large number of isolates in a very short time. Bayesian phylogenetic approaches can take advantage of these data by simultaneously inferring the phylogenetic tree, evolutionary timescale, and demographic parameters (such as population growth rates), while naturally integrating uncertainty in all parameters. Despite their desirable properties, Bayesian approaches can be computationally intensive, hindering their use for outbreak investigations involving genome data for a large numbers of pathogen isolates. An alternative to using full Bayesian inference is to use a hybrid approach, where the phylogenetic tree and evolutionary timescale are estimated first using maximum likelihood. Under this hybrid approach, demographic parameters are inferred from estimated trees instead of the sequence data, using maximum likelihood, Bayesian inference, or approximate Bayesian computation. This can vastly reduce the computational burden, but has the disadvantage of ignoring the uncertainty in the phylogenetic tree and evolutionary timescale.\n\nResultsWe compared the performance of a fully Bayesian and a hybrid method by analysing six whole-genome SNP data sets from a range of bacteria and simulations. The estimates from the two methods were very similar, suggesting that the hybrid method is a valid alternative for very large datasets. However, we also found that congruence between these methods is contingent on the presence of strong temporal structure in the data (i.e. clocklike behaviour), which is typically verified using a date-randomisation test in a Bayesian framework. To reduce the computational burden of this Bayesian test we implemented a date-randomisation test using a rapid maximum likelihood method, which has similar performance to its Bayesian counterpart.\n\nConclusionsHybrid approaches can produce reliable inferences of evolutionary timescales and phylodynamic parameters in a fraction of the time required for fully Bayesian analyses. As such, they are a valuable alternative in outbreak studies involving a large number of isolates.

bioinformatics↗