Biology subjects

Power, M.

Publications and source records attributed to Power, M..

7 recordsLinked to original sources

bioRxiv2026

Andes virus from the MV Hondius outbreak is highly pathogenic in hamsters and airborne shed

In May 2026, an outbreak of hantavirus pulmonary syndrome (HPS) caused by Andes virus (ANDV) was detected aboard the cruise ship MV Hondius, sparking public health measures in multiple countries. ANDV infections in humans are mostly sporadic, most often linked to exposure to infected rodents in South America, although small clusters of human cases, like the 2026 outbreak on the MV Hondius occur as well. It is not known whether virological factors may contribute to this distinct epidemiology, and no phenotypic characterisation of the newly emerged ANDV (ANDV2026) has been carried out to date. Here, using an ANDV isolate from a presymptomatic patient from the MV Hondius, we studied pathogenesis, identified sites of viral replication, characterized innate and adaptive immune responses, and quantified shedding in golden Syrian hamsters. ANDV2026 proved to be highly pathogenic in hamsters, causing severe pulmonary disease reminiscent of HPS. ANDV2026 triggered a delayed type-I IFN response and inflammatory response in the lungs consistent with the key pathological features of HPS, and we detected viral replication in both respiratory and extra-respiratory tissues, including the brain. Infected animals mounted neutralising antibodies and T cell responses, the latter directed predominantly against the L and N proteins. Importantly, ANDV2026-infected animals shed virus through multiple routes, and we detected infectious virus in air samplers connected to cages housing ANDV2026-infected hamsters. In contrast, control hamsters infected with a rodent-derived ANDV isolate (ANDV9717869) shed little virus and air samples were consistently negative. These findings consolidate established features of ANDV pathogenesis, while revealing properties not previously described. Phenotypic characterisation of patient-derived ANDV isolates in animal models can strengthen outbreak preparedness, identify markers of disease severity, and support the development of medical countermeasures.

microbiology↗

bioRxiv2025

Linking acoustic telemetry data to spatial covariates in river networks with spatially explicit capture-recapture models

O_LISpatially explicit capture-recapture (SECR) models extend classical capture-recapture models to include spatially-explicit animal locations and environmental covariates. SECR models have been widely employed in terrestrial studies to predict the population size and densities of animals assuming a closed population over a defined area. In this work, we extend and apply SECR models to a novel use-case that both uses a relative density formulation and accounts for biased tagging distributions to estimate parameters of habitat use from acoustic telemetry data in a branching river network. C_LIO_LIUsing SECR models, we predict how temperature distributions during the summer feeding season influenced how tagged Arctic grayling (Thymallus arcticus) distributed themselves through the Parsnip watershed in northcentral British Columbia, Canada. We found that the relative density of tagged Arctic grayling peaked at water temperatures of 12.4 {degrees}C. In warm years, relative densities were constricted as parts of the watershed became unfavorably warm. In cool years, fish were distributed widely throughout the watershed. C_LIO_LIIn acoustic telemetry, only the tagged population is available for detection. We highlight several specific considerations and assumptions for using this approach: i.e. (a) activity centres are assumed to remain in the same location throughout the study period, thus the time window of the study should be selected accordingly (e.g., exclude migratory periods); (b) inferences from acoustic telemetry data depict relative (not absolute) densities; and (c) spatial tagging effort must be defined in the model to ensure that predictions are not merely an artefact of tagging effort across space and time. When applied following these assumptions, this method is broadly useful for ecologists as it presents a quantitative way to merge automated telemetry datasets with discrete habitat parameters that drive population distributions through time and are relevant to managers and conservation professionals. Further, this method can be applied to branching river networks in which topological challenges have hindered other statistical approaches. C_LI

ecology↗

bioRxiv2024

sangerFlow, a Sanger sequencing-based bioinformatics pipeline for pests and pathogens identification

Sequencing of a Polymerase Chain Reaction product (amplicon) is called amplicon sequencing. Amplicon sequencing allows for reliable identification of an organism by amplifying, sequencing, and analysing a single conserved marker gene or DNA barcode. As this approach generally involves a single gene, it is a light-weight protocol compared to multi-locus or whole genome sequencing for diagnostic purposes; yet considerably reliable. Therefore, Sanger-based high-quality amplicon sequencing is widely deployed for species identification and high-throughput biosecurity surveillance. However, keeping up with the data analysis in a large-scale surveillance or diagnostic settings could be a limiting factor because it involves manual quality control of the raw sequencing data, alignment of the forward and reverse reads, and finally web-based Blastn search of all the amplicons. Here, we present a bioinformatics pipeline that automates the entire analysis. As a result, the pipeline is scalable with high-volume of samples and reproducible. Furthermore, the pipeline leverages the modern open-source Nextflow and Singularity concept, thus it does not require software installation except Nextflow and Singularity, software subscription, or programming expertise from the end users making it widely adaptable. Availability and implementationsangerFlow source code and documentation are freely available for download at GitHub, implemented in Nextflow and Singularity.

bioinformatics↗

bioRxiv2023

The spatially resolved tumor microenvironment predicts treatment outcome in relapsed/refractory Hodgkin lymphoma

PURPOSEAbout a third of relapsed or refractory classic Hodgkin lymphoma (r/r CHL) patients succumb to their disease after high-dose chemotherapy followed by autologous stem cell transplantation (HDC/ASCT). Here, we aimed to describe spatially resolved tumor microenvironment (TME) ecosystems to establish novel biomarkers associated with treatment failure in r/r CHL. METHODSWe performed imaging mass cytometry (IMC) on 169 paired primary diagnostic and relapse biopsies using a marker panel specific for CHL biology. For each cell type in the TME, we calculated a spatial score measuring the distance of nearest neighbor cells to the malignant Hodgkin Reed Sternberg cells within close interaction range. Spatial scores were used as features in prognostic model development for post-ASCT outcomes. RESULTSHighly multiplexed IMC data revealed shared TME patterns in paired diagnostic and early relapse/refractory CHL samples, whereas TME patterns were more divergent in pairs of diagnostic and late relapse samples. Integrated analysis of IMC and single cell RNA sequencing data identified unique architecture defined by CXCR5+ HRS cells and their strong spatial relationship with CXCL13+ macrophages in the TME. We developed a prognostic assay ( RHL4S) using four spatially resolved parameters, CXCR5+ HRS cells, PD1+CD4+ T cells, tumor-associated macrophages, and CXCR5+ B cells, which effectively separated patients into high-risk vs low-risk groups with significantly different post-ASCT outcomes. The RHL4S assay was validated in an independent r/r CHL cohort using a multicolor immunofluorescence assay. CONCLUSIONSWe identified the interaction of CXCR5+ HRS cells with ligand-expressing CXCL13+ macrophages as a prominent crosstalk axis in relapsed CHL. Harnessing this TME biology, we developed a novel prognostic model applicable to r/r CHL biopsies, RHL4S, opening new avenues for spatial biomarker development.

cancer biology↗

bioRxiv2021

Plant-based expression of SARS-CoV-2 antigens for use in an oral vaccine

Oral and intra-nasal vaccines represent a key means of inducing mucosal-based immunity against infection with SARS-CoV-2, yet such vaccines represent only a minority of candidates currently in development. In this brief communication, we assessed the expression of the SARS-CoV-2 Receptor Binding Domain (RBD) subunit of the surface-exposed Spike glycoprotein in the leaves of nine edible plant species (lettuce, spinach, collard greens, tomato, cucumber, radish, arugula, pepper, and Coho greens), with a goal of identifying a suitable candidate for the development of an oral vaccine against COVID-19. We report lettuce (Lactuca sativa L. cv. Hilde II Improved) to be a preferred host to support in planta expression of SARS-CoV-2 RBD, representing an important first step towards development of a plant-based oral vaccine.

plant biology↗

bioRxiv2021

Carriage of antibiotic resistant bacteria in endangered and declining Australian pinniped pups

The rapid emergence of antimicrobial resistance (AMR) is a major concern for wildlife and ecosystem health globally. Genetic determinants of AMR have become indicators of anthropogenic pollution due to their greater association with humans and rarer presence in environments less affected by humans. The objective of this study was to determine the distribution and frequency of the class 1 integron, a genetic determinant of AMR, in both the faecal microbiome and in Escherichia coli isolated from neonates of three pinniped species. Australian sea lion (Neophoca cinerea), Australian fur seal (Arctocephalus pusillus doriferus) and long-nosed fur seal (Arctocephalus forsteri) pups from eight breeding colonies along the Southern Australian coast were sampled between 2016-2019. DNA from faecal samples (n=309) and from E. coli (n=795) isolated from 884 faecal samples were analysed for class 1 integrons using PCRs targeting the conserved integrase gene (intI) and the gene cassette array. Class 1 integrons were detected in A. p. doriferus and N. cinerea pups sampled at seven of the eight breeding colonies investigated in 4.85% of faecal samples (n=15) and 4.52% of E. coli isolates (n=36). Integrons were not detected in any A. forsteri samples. DNA sequencing of the class 1 integron gene cassette array identified diverse genes conferring resistance to four antibiotic classes. The relationship between class 1 integron carriage and the concentration of five trace elements and heavy metals was also investigated, finding no significant association. The results of this study add to the growing evidence of the extent to which antimicrobial resistant bacteria are polluting the marine environment. As AMR determinants are frequently associated with bacterial pathogens, their occurrence suggests that these pinniped species are vulnerable to potential health risks. The implications for individual and population health as a consequence of AMR carriage is a critical component of ongoing health investigations.

microbiology↗

bioRxiv2019

Six new reference-quality bat genomes illuminate the molecular basis and evolution of bat adaptations

Bats account for ~20% of all extant mammal species and are considered exceptional given their extraordinary adaptations, including biosonar, true flight, extreme longevity, and unparalleled immune systems. To understand these adaptations, we generated reference-quality genomes of six species representing the key divergent lineages. We assembled these genomes with a novel pipeline incorporating state-of-the-art long-read and long-range sequencing and assembly techniques. The genomes were annotated using a maximal evidence approach, de novo predictions, protein/mRNA alignments, Iso-seq long read and RNA-seq short read transcripts, and gene projections from our new TOGA pipeline, retrieving virtually all (>99%) mammalian BUSCO genes. Phylogenetic analyses of 12,931 protein coding-genes and 10,857 conserved non-coding elements identified across 48 mammalian genomes helped to resolve bats closest extant relatives within Laurasiatheria, supporting a basal position for bats within Scrotifera. Genome-wide screens along the bat ancestral branch revealed (a) selection on hearing-involved genes (e.g LRP2, SERPINB6, TJP2), which suggest that laryngeal echolocation is a shared ancestral trait of bats; (b) selection (e.g INAVA, CXCL13, NPSR1) and loss of immunity related proteins (e.g. LRRC70, IL36G), including pro-inflammatory NF-kB signalling; and (c) expansion of the APOBEC family, associated with restricting viral infection, transposon activity and interferon signalling. We also identified unique integrated viruses, indicating that bats have a history of tolerating viral pathogens, lethal to other mammal species. Non-coding RNA analyses identified variant and novel microRNAs, revealing regulatory relationships that may contribute to phenotypic diversity in bats. Together, our reference-quality genomes, high-quality annotations, genome-wide screens and in-vitro tests revealed previously unknown genomic adaptations in bats that may explain their extraordinary traits.

genomics↗