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O'Toole, A. N.

Publications and source records attributed to O'Toole, A. N..

8 recordsLinked to original sources

Human outbreak detection and best practice MPXV analysis and interpretation with squirrel

High numbers of reported mpox cases and recent identification of multiple sustained human outbreaks of MPXV have highlighted the need for robust, best-practice genomic surveillance tools. In light of the SARS-CoV-2 pandemic, many labs across the globe developed the capacity to do virus genome sequencing, however MPXV presents additional analytical challenges due to its large genome size, tracts of low-complexity or repeat regions, genetically distinct clades, and the need to perform bespoke APOBEC3-mutation reconstruction. We present squirrel (Some Quick Reconstruction to Resolve Evolutionary Links), an open source bioinformatic tool that can perform clade-aware alignment, mutation quality assessment, phylogenetic inference and automated APOBEC3-mutation classification on branches of the phylogeny. Squirrel can be run on the command line or launched through the EPI2ME GUI through the squirrel-nf workflow, enabling robust analysis without need for the command line. With the interactive output report produced and publication-ready APOBEC3-reconstruction visualisation, squirrel enables researchers to distinguish between zoonotic and sustained human outbreaks and help accurately inform public health responses.

evolutionary biology↗

PrimalScheme: open-source community resources for low-cost viral genome sequencing

Viral genome sequencing using the ARTIC protocol has been a vital tool for understanding the spread of epidemics including Ebola, Zika, Covid-19 and Mpox and has seen widespread adoption due to its low cost and high sensitivity. Here, we describe PrimalScheme, an open-source toolkit and website that allows users to easily design primer schemes for amplicon sequencing of viruses, and has generated over 67,000 primer schemes for the global community since 2017. In January 2020, PrimalScheme was used to rapidly generate a primer scheme for SARS-CoV-2, with primer pools distributed to researchers from 44 countries to help scale-up genomic surveillance efforts. Overall, these primers were used to generate an estimated 18M genome sequences and the protocols were viewed online [~]250K times. To complement PrimalScheme, we have built PrimalScheme Labs, a scheme repository which allows users to find and share primer schemes as well as establishing a set of data standards. Through improvements to the primer design process, including the use of discrete primer clouds, we have expanded the use of amplicon sequencing to include diverse virus species. We demonstrate the utility of this approach through a high diversity pan-genotype Measles virus (MeV) scheme. We also demonstrate its use on a high sensitivity, short amplicon Monkeypox virus (MPXV) scheme with over 1000 primers, showing high genome recovery on low-titre clinical samples. These developments have implications for sequencing from samples such as wastewater, for genomic surveillance of endemic pathogens and in preparing for future pandemics.

genomics↗

Automated detection and classification of polioviruses from nanopore sequencing reads using piranha

Widespread surveillance, rapid detection and appropriate intervention will be critical for successful eradication of poliovirus. With deployable next-generation sequencing (NGS) approaches, such as Oxford Nanopore Technologies MinION, the time from sample to result can be significantly reduced compared to cell culture and Sanger sequencing. We developed piranha (poliovirus investigation resource automating nanopore haplotype analysis) to aid routine poliovirus testing of both stool and environmental samples and alleviate the bioinformatic bottleneck that often exists for labs adopting novel NGS approaches. Piranha can be used for efficient intratypic differentiation of poliovirus serotypes, for classification of Sabin-like polioviruses and for detection of wild-type and vaccine derived polioviruses. It produces interactive, distributable html reports, as well as summary csv files and consensus poliovirus FASTA sequences. The reports describe each nanopore sequencing run with interpretable plots enabling researchers to easily detect the presence of poliovirus in samples and quickly disseminate their results.

bioinformatics↗

Automated Agnostic Designation of Pathogen Lineages

Pathogen nomenclature systems are a key component of effective communication and collaboration for researchers and public health workers. Since February 2021, the Pango nomenclature for SARS-CoV-2 has been sustained by crowdsourced lineage proposals as new isolates were added to a growing global dataset. This approach to dynamic lineage designation is dependent on a large and active epidemiological community identifying and curating each new lineage. This is vulnerable to time-critical delays as well as regional and personal bias. To address these issues, we developed a simple heuristic approach that divides a phylogenetic tree into lineages based on shared ancestral genotypes. We additionally provide a framework that automatically prioritizes the lineages by growth rate and association with key mutations or locations, extensible to any pathogen. Our implementation is efficient on extremely large phylogenetic trees and produces similar results to existing Pango lineage designations when applied to SARS-CoV-2. This method offers a simple, automated and consistent approach to pathogen nomenclature that can assist researchers in developing and maintaining phylogeny-based classifications in the face of ever increasing genomic datasets.

evolutionary biology↗

Putative APOBEC3 deaminase editing in MPXV as evidence for sustained human transmission since at least 2016.

Mpox is often described as being endemic in West and Central Africa as a zoonotic disease that transmits through contact with the reservoir rodent host, likely a species of African squirrel. In May 2022, human cases of Mpox were detected spreading internationally beyond countries with known endemic reservoirs. At time of writing, 84,700 confirmed cases have been reported in 110 countries. When the first cases from 2022 were sequenced, it was seen that they shared 42 single nucleotide differences from the closest mpox virus (MPXV) genome sampled in 2018. This number of changes within 3-4 years is unexpectedly large and points to a much greater evolutionary rate than expected for a poxvirus. Strikingly, most nucleotide changes are of a specific type - a dinucleotide change from TC->TT or its reverse complement GA->AA. This mutation type is characteristic of the action of APOBEC3 deaminases; host-enzymes with reported antiviral function. Analysis of MPXV genomes sampled from 2017 to 2022 showed further evidence of TC->TT mutation pattern enrichment, with 93% of transmitted single nucleotide mutations since 2017 consistent with APOBEC3 editing. Assuming APOBEC-editing is characteristic of MPXV infection in human hosts, we propose an APOBEC clock that - at a rate of ~6 APOBEC3 mutations per year - estimates MPXV has been circulating in humans since 2016. This evolutionary pattern of host-enzyme editing has implications for the longer-term fitness of the virus in this epidemic as such mechanisms are primarily antiviral in function, but in the context of a poxvirus also provide a source of variation that may conceivably facilitate adaptation.

evolutionary biology↗

The origins and molecular evolution of SARS-CoV-2 lineage B.1.1.7 in the UK

The first SARS-CoV-2 variant of concern (VOC) to be designated was lineage B.1.1.7, later labelled by the World Health Organisation (WHO) as Alpha. Originating in early Autumn but discovered in December 2020, it spread rapidly and caused large waves of infections worldwide. The Alpha variant is notable for being defined by a long ancestral phylogenetic branch with an increased evolutionary rate, along which only two sequences have been sampled. Alpha genomes comprise a well-supported monophyletic clade within which the evolutionary rate is more typical of SARS-CoV-2. The Alpha epidemic continued to grow despite the continued restrictions on social mixing across the UK, and the imposition of new restrictions, in particular the English national lockdown in November 2020. While these interventions succeeded in reducing the absolute number of cases, the impact of these non-pharmaceutical interventions was predominantly to drive the decline of the SARS-CoV-2 lineages which preceded Alpha. We investigate the only two sampled sequences that fall on the branch ancestral to Alpha. We find that one is likely to be a true intermediate sequence, providing information about the order of mutational events that led to Alpha. We explore alternate hypotheses that can explain how Alpha acquired a large number of mutations yet remained largely unobserved in a region of high genomic surveillance: an under-sampled geographical location, a non-human animal population, or a chronically-infected individual. We conclude that the last hypothesis provides the best explanation of the observed behaviour and dynamics of the variant, although we find that the individual need not be immunocompromised, as persistently-infected immunocompetent hosts also display a higher within-host rate of evolution. Finally, we compare the ancestral branches and mutation profiles of other VOCs to each other, and identify that Delta appears to be an outlier both in terms of the genomic locations of its defining mutations, and its lack of rapid evolutionary rate on the ancestral branch. As new variants, such as Omicron, continue to evolve (potentially through similar mechanisms) it remains important to investigate the origins of other variants to identify ways to potentially disrupt their evolution and emergence.

evolutionary biology↗

Pango lineage designation and assignment using SARS-CoV-2 spike gene nucleotide sequences

More than 2 million SARS-CoV-2 genome sequences have been generated and shared since the start of the COVID-19 pandemic and constitute a vital information source that informs outbreak control, disease surveillance, and public health policy. The Pango dynamic nomenclature is a popular system for classifying and naming genetically-distinct lineages of SARS-CoV-2, including variants of concern, and is based on the analysis of complete or near-complete virus genomes. However, for several reasons, nucleotide sequences may be generated that cover only the spike gene of SARS-CoV-2. It is therefore important to understand how much information about Pango lineage status is contained in spike-only nucleotide sequences. Here we explore how Pango lineages might be reliably designated and assigned to spike-only nucleotide sequences. We survey the genetic diversity of such sequences, and investigate the information they contain about Pango lineage status. Although many lineages, including the main variants of concern, can be identified clearly using spike-only sequences, some spike-only sequences are shared among tens or hundreds of Pango lineages. To facilitate the classification of SARS-CoV-2 lineages using subgenomic sequences we introduce the notion of designating such sequences to a "lineage set", which represents the range of Pango lineages that are consistent with the observed mutations in a given spike sequence. These data provide a foundation for the development of software tools that can assign newly-generated spike nucleotide sequences to Pango lineage sets.

genomics↗

Methylation-Based Age Estimation in a Wild Mouse

The age structure of populations, or the ageing rate of individuals, impacts aspects of ecology, epidemiology and conservation. Yet for many wild organisms, age is an inaccessible trait. In many cases measuring age or ageing rates in the wild requires molecular biomarkers of age. Epigenetic clocks based on DNA methylation have been shown to accurately estimate the age of humans and laboratory mice, but they also show variable ticking rates that are associated with mortality risk above and beyond that predicted by chronological age. Thus, epigenetic clocks are proving to be useful markers of both chronological and biological age, and they are beginning to be applied to wild mammals and birds. We have acquired strong evidence that an accurate clock is possible for the wood mouse Apodemus sylvaticus by adapting epigenetic information from the laboratory mouse (Mus musculus). Apodemus sylvaticus is a well-studied, common small mammal in the UK and Europe, which is amenable to large-scale experimental perturbations and longitudinal sampling of individuals across their lives. These features of the wood mouse system offer opportunities to disentangle causal relationships between ageing rates and environmental stress. Our wood mouse epigenetic clock is PCR-based, and so requires only tiny amounts of tissue accessible through non-destructive sampling. We quantified methylation using Oxford Nanopore sequencing technology and present a new bioinformatics pipeline for data analysis. We thus describe a new and generalizable system that should enable ecologists and other field biologists to go from small tissue samples to an epigenetic clock for their study animal, which will enable investigations of ageing in the wild which where previously inaccessible.

genetics↗