Biology subjects

O'Shea, M.

Publications and source records attributed to O'Shea, M..

5 recordsLinked to original sources

bioRxiv2025

Staphylococcus haemolyticus Population Genomics Provides Insights into Pathogenicity and Commensalism

Staphylococcus haemolyticus is a common commensal bacterium but also an opportunistic pathogen, frequently implicated in bacteraemia and sepsis in preterm neonates and immunocompromised patients. Despite its clinical relevance, relatively little is known about the population structure of S. haemolyticus and how this relates to its ability to colonise humans or cause disease. In this study, we analysed commensal and clinical strains isolated from neonates and adults from 20 countries between 1957 - 2022. Whole genome sequencing of these isolates, combined with publicly available data, generated a comprehensive dataset of 986 genomes. This enabled us to characterise the species population structure and track the distribution of antimicrobial resistance (AMR) and virulence determinants. Our analysis revealed a highly diverse genome structure, with multiple phylogenetic groups showing distinct associations with commensalism or pathogenicity. We observed extensive variation in mobile genetic elements, prophages, and AMR genes, alongside increased carriage of plasmids and AMR genes over time. Furthermore, genes lined to metal homeostasis, detoxification, and oxidative stress tolerance were differently abundant between commensal and clinical isolates. This work provides the most detailed view to date of S. haemolyticus diversity, its evolutionary dynamics, and the genetic factors that may underpin the transition from commensal to pathogen.

genetics↗

bioRxiv2023

Emergence and spread of feline infection peritonitis due to a highly pathogenic canine/feline recombinant coronavirus

Cross-species transmission of coronaviruses (CoVs) poses a serious threat to both animal and human health1-3. Whilst the large RNA genome of CoVs shows relatively low mutation rates, recombination within genera is frequently observed and demonstrated4-7. Companion animals are often overlooked in the transmission cycle of viral diseases; however, the close relationship of feline (FCoV) and canine CoV (CCoV) to human hCoV-229E5,8, as well as their susceptibility to SARS-CoV-29 highlight their importance in potential transmission cycles. Whilst recombination between CCoV and FCoV of a large fragment spanning orf1b to M has been previously described5,10, here we report the emergence of a novel, highly pathogenic FCoV-CCoV recombinant responsible for a rapidly spreading outbreak of feline infectious peritonitis (FIP), originating in Cyprus11. The minor recombinant region, spanning spike (S), shows 96.5% sequence identity to the pantropic canine coronavirus NA/09. Infection has rapidly spread, infecting cats of all ages. Development of FIP appears very frequent and sequence identities of samples from cats in different districts of the island is strongly supportive of direct transmission. A near cat-specific deletion in the domain 0 of S is present in >90% of FIP cats. It is unclear as yet whether this deletion is directly associated with disease development and may be linked to a biotype switch12. The domain 0 deletion and several amino acid changes in S, particularly the receptor binding domain, indicate potential changes to receptor binding and cell tropism.

microbiology↗

bioRxiv2021

Direct lysis RT-qPCR of SARS-CoV-2 in cell culture supernatant allows for fast and accurate quantification of virus, opening a vast array of applications

An enormous global effort is being made to study SARS-CoV-2 and develop safe and effective treatments. Studying the entire virus replication cycle of SARS-CoV-2 is essential to identify host factors and treatments to combat the infection. However, quantification of released virus often requires lengthy procedures, such as endpoint dilution assays or reinfection with engineered reporter viruses. Quantification of viral RNA in cell supernatant is faster and can be performed on clinical isolates. However, viral RNA purification is expensive in time and resources and often unsuitable for high-throughput screening. Here, we show a direct lysis RT-qPCR method allowing sensitive, accurate, fast, and cheap quantification of SARS-CoV-2 in culture supernatant. During lysis, the virus is completely inactivated, allowing further processing in low containment areas. This protocol facilitates a wide array of high- and low-throughput applications from basic quantification to studying the biology of SARS-CoV-2 and to identify novel antiviral treatments in vitro.

microbiology↗

bioRxiv2020

CUE: CpG impUtation Ensemble for DNA Methylation Levels Across the Human Methylation450 (HM450) and EPIC (HM850) BeadChip Platforms

DNA methylation at CpG dinucleotides is one of the most extensively studied epigenetic marks. With technological advancements, geneticists can profile DNA methylation with multiple reliable approaches. However, profiling platforms can differ substantially in the CpGs they assess, consequently hindering integrated analysis across platforms. Here, we present CpG impUtation Ensemble (CUE), which leverages multiple classical statistical and modern machine learning methods, to impute from the Illumina HumanMethylation450 (HM450) BeadChip to the Illumina HumanMethylationEPIC (HM850) BeadChip. Data were analyzed from two population cohorts with methylation measured both by HM450 and HM850: the Extremely Low Gestational Age Newborns (ELGAN) study (n=127, placenta) and the VA Boston Posttraumatic Stress Disorder (PTSD) genetics repository (n=144, whole blood). Cross-validation results show that CUE achieves the lowest predicted root mean square error (RMSE) (0.026 in PTSD) and the highest accuracy (99.97% in PTSD) compared with five individual methods tested, including k-nearest-neighbors, logistic regression, penalized functional regression, random forest and XGBoost. Finally, among all 339,033 HM850-only CpG sites shared between ELGAN and PTSD, CUE successfully imputed 289,604 (85.4%) sites, where success was defined as RMSE < 0.05 and accuracy >95% in PTSD. In summary, CUE is a valuable tool for imputing CpG methylation from the HM450 to HM850 platform.

bioinformatics↗

bioRxiv2020

Interneuronal mechanisms underlying a learning-induced switch in a sensory response that anticipates changes in behavioural outcomes

How an animal responds to a particular sensory stimulus will to a great extent depend on prior experience associated with that stimulus. For instance, aversive associative learning may lead to a change in the predicted outcomes, which suppresses the behavioural response to an otherwise rewarding stimulus. However, the neuronal mechanisms of how aversive learning can result in the suppression of even a vitally important innate behaviour is not well understood. Here we used the model system of Lymnaea stagnalis to address the question of how an anticipated aversive outcome can alter the behavioural response to a previously effective feeding stimulus. We found that aversive classical conditioning with sucrose as the CS (conditioned stimulus) and strong touch as the aversive US (unconditioned stimulus) reverses the decision so that the same salient feeding stimulus inhibits feeding, rather than activating it. Key to the understanding of the neural mechanism underlying this switch in the behavioural response is the PlB (pleural buccal) extrinsic interneuron of the feeding network whose modulatory effects on the feeding circuit inhibit feeding. After associative aversive training, PlB is excited by sucrose to reverse its effects on the feeding response. Aversive associative learning induces a persistent change in the electrical properties of PlB that is both sufficient and necessary for the switch in the behavioural output. In addition, the strong touch used as the US during the associative training protocol can also serve as a sensitizing stimulus to lead to an enhanced defensive withdrawal response to a mild touch stimulus. This non-associative effect of the strong touch is probably based on the facilitated excitatory output of a key identified interneuron of the defensive withdrawal network, PeD12.

neuroscience↗