Virus EvolutionEvolutionary BiologyPeer-reviewed journal article
Human outbreak detection and best practice MPXV analysis and interpretation with squirrel
Aine Niamh O’TooleiD, Eddy Kinganda-LusamakiiD, Rachel ColquhouniD, Connor Chato, Emily ScheriD, Chris KentiD, Sam Wilkinson, Joshua QuickiD, Nicholas Loman, Ana T. DugganiD, Placide Mbala, Andrew RambautiD
Abstract
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.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: phylogenetics / evolution
- research focus: host-pathogen & immune response
- approach: deep learning
- approach: statistical model
- Citations
- 8
- FWCI
- 4.03
- Field percentile
- top 5%
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