Phylo-Plex: A phylogenetically informed, low-cost amplicon sequencing platform for deployable high-resolution genomic epidemiology Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1101/2025.02.19.25322526
Genomic pathogen surveillance is a powerful tool for public health and research, but is costly and unachievable in low-resource settings. Most sub-genomic typing methods sacrifice resolution whilst remaining costly. We developed “Phylo-Plex”, a novel approach that identifies information-rich genomic regions to maximise phylogenetic information whilst minimising the number of regions. Applied to Treponema pallidum , we designed a high-resolution multiplex PCR sequencing scheme for lineage tracking. Using MinION Flongle cells, we sequenced 72 clinical samples. Our T. pallidum scheme comprising 59 multiplex amplicons achieved high discrimination of fine-scale sublineages comparable to those defined using whole genomes, and demonstrating a qPCR detection limit ≤Ct 32. Variant calls from MinION amplicon sequencing were highly correlated with Illumina whole genome sequencing. We successfully deployed the method in a low-resource laboratory in Zimbabwe, costed at <£300/24 samples (£12.47/sample). Phylo-Plex enables low-cost tracking of priority pathogenic lineages in low resource settings and at scale.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.02.19.25322526
- OA Status
- green
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407985652
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407985652Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2025.02.19.25322526Digital Object Identifier
- Title
-
Phylo-Plex: A phylogenetically informed, low-cost amplicon sequencing platform for deployable high-resolution genomic epidemiologyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-25Full publication date if available
- Authors
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Mathew A. Beale, Vignesh Shetty, Kirsty Ambridge, George Lacey, Sam Dougan, William Roberts-Sengier, Beth Sampher, Florent Lassalle, Matthew J. Dorman, Mahlape P. Mahlangu, Johanna M. E. Venter, Bianca Da Costa Dias, Martha Chipinduro, Tendai Washaya, Logan Rodgers, Beauty Makamure, Ethel Dauya, Michael Marks, Étienne Muller, Rashida A. Ferrand, Nicholas R. ThomsonList of authors in order
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https://doi.org/10.1101/2025.02.19.25322526Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1101/2025.02.19.25322526Direct OA link when available
- Concepts
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Amplicon, Computational biology, Amplicon sequencing, Biology, Low resolution, Genomics, Genetics, High resolution, Computer science, Evolutionary biology, Genome, Geography, Gene, Polymerase chain reaction, 16S ribosomal RNA, Remote sensingTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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47Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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